2024-06-26T04:55:20.5610364Z Current runner version: '2.317.0' 2024-06-26T04:55:20.5616997Z Runner name: 'i-007b198452d40c079' 2024-06-26T04:55:20.5617784Z Runner group name: 'Default' 2024-06-26T04:55:20.5618695Z Machine name: 'ip-10-0-39-227' 2024-06-26T04:55:20.5623263Z ##[group]GITHUB_TOKEN Permissions 2024-06-26T04:55:20.5625411Z Actions: read 2024-06-26T04:55:20.5625939Z Attestations: read 2024-06-26T04:55:20.5626437Z Checks: read 2024-06-26T04:55:20.5626971Z Contents: read 2024-06-26T04:55:20.5627467Z Deployments: read 2024-06-26T04:55:20.5627944Z Discussions: read 2024-06-26T04:55:20.5628465Z Issues: read 2024-06-26T04:55:20.5628969Z Metadata: read 2024-06-26T04:55:20.5629421Z Packages: read 2024-06-26T04:55:20.5629923Z Pages: read 2024-06-26T04:55:20.5630410Z PullRequests: read 2024-06-26T04:55:20.5630909Z RepositoryProjects: read 2024-06-26T04:55:20.5631507Z SecurityEvents: read 2024-06-26T04:55:20.5632064Z Statuses: read 2024-06-26T04:55:20.5632511Z ##[endgroup] 2024-06-26T04:55:20.5636122Z Secret source: Actions 2024-06-26T04:55:20.5636980Z Prepare workflow directory 2024-06-26T04:55:20.9231903Z Prepare all required actions 2024-06-26T04:55:20.9425160Z Getting action download info 2024-06-26T04:55:21.2567876Z Download action repository 'pytorch/test-infra@main' (SHA:43a2ce341cc31288e9a38b65ce600a7f43021bd5) 2024-06-26T04:55:21.6168859Z Download action repository 'pytorch/pytorch@main' (SHA:6181e65cd81725efc6bc5d64ef3be607b0aa3ca1) 2024-06-26T04:55:24.5041137Z Download action repository 'aws-actions/configure-aws-credentials@v3' (SHA:50ac8dd1e1b10d09dac7b8727528b91bed831ac0) 2024-06-26T04:55:24.6324269Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2024-06-26T04:55:24.8975921Z Getting action download info 2024-06-26T04:55:24.9917794Z Download action repository 'malfet/checkout@silent-checkout' (SHA:e07af140b3ccefc05679e3755b9db68f4ee4589c) 2024-06-26T04:55:25.1861320Z Getting action download info 2024-06-26T04:55:25.2945036Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2024-06-26T04:55:25.4301695Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/pull/129470/merge (4b51b1a62a63a1add1b3a0f7882f5c7dc66b8f8d) 2024-06-26T04:55:25.4304135Z ##[group] Inputs 2024-06-26T04:55:25.4304650Z build-environment: linux-jammy-py3-clang12-executorch 2024-06-26T04:55:25.4305506Z test-matrix: {"include": [{"config": "executorch", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]} 2024-06-26T04:55:25.4306941Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-jammy-py3-clang12-executorch:91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T04:55:25.4308046Z sync-tag: 2024-06-26T04:55:25.4308887Z timeout-minutes: 240 2024-06-26T04:55:25.4309253Z use-gha: 2024-06-26T04:55:25.4309569Z dashboard-tag: 2024-06-26T04:55:25.4309913Z s3-bucket: gha-artifacts 2024-06-26T04:55:25.4310301Z aws-role-to-assume: 2024-06-26T04:55:25.4310675Z ##[endgroup] 2024-06-26T04:55:25.4311547Z Complete job name: linux-jammy-py3-clang12-executorch / test (executorch, 1, 1, linux.2xlarge) 2024-06-26T04:55:25.4878574Z A job started hook has been configured by the self-hosted runner administrator 2024-06-26T04:55:25.5029348Z ##[group]Run '/home/ec2-user/runner-scripts/cleanup.sh' 2024-06-26T04:55:25.5041342Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T04:55:25.5041912Z ##[endgroup] 2024-06-26T04:55:26.4064374Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2024-06-26T04:55:26.4064933Z with: 2024-06-26T04:55:26.4065643Z github-secret: *** 2024-06-26T04:55:26.4066611Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2024-06-26T04:55:26.4067642Z activate-with-label: false 2024-06-26T04:55:26.4067975Z label: with-ssh 2024-06-26T04:55:26.4068289Z remove-existing-keys: true 2024-06-26T04:55:26.4068668Z fail-silently: true 2024-06-26T04:55:26.4069105Z env: 2024-06-26T04:55:26.4069364Z GIT_DEFAULT_BRANCH: main 2024-06-26T04:55:26.4069695Z ##[endgroup] 2024-06-26T04:55:26.4960005Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2024-06-26T04:55:26.7469002Z Grabbing public ssh keys from https://github.com/leslie-fang-intel.keys 2024-06-26T04:55:26.8252028Z No SSH keys found for user leslie-fang-intel 2024-06-26T04:55:26.8252799Z Grabbing public ssh keys from https://github.com/leslie-fang-intel.keys 2024-06-26T04:55:26.8856076Z No SSH keys found for user leslie-fang-intel 2024-06-26T04:55:26.8972562Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2024-06-26T04:55:26.8973107Z with: 2024-06-26T04:55:26.8973368Z submodules: recursive 2024-06-26T04:55:26.8973685Z fetch-depth: 0 2024-06-26T04:55:26.8973942Z env: 2024-06-26T04:55:26.8974198Z GIT_DEFAULT_BRANCH: main 2024-06-26T04:55:26.8974525Z ##[endgroup] 2024-06-26T04:55:26.9171564Z ##[group]Run retry () { 2024-06-26T04:55:26.9171962Z retry () { 2024-06-26T04:55:26.9172443Z  $* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*) 2024-06-26T04:55:26.9172999Z } 2024-06-26T04:55:26.9173275Z echo "${GITHUB_WORKSPACE}" 2024-06-26T04:55:26.9173676Z if [ -z "${NO_SUDO}" ]; then 2024-06-26T04:55:26.9174141Z  retry sudo rm -rf "${GITHUB_WORKSPACE}" 2024-06-26T04:55:26.9174564Z else 2024-06-26T04:55:26.9174883Z  retry rm -rf "${GITHUB_WORKSPACE}" 2024-06-26T04:55:26.9175292Z fi 2024-06-26T04:55:26.9175627Z mkdir "${GITHUB_WORKSPACE}" 2024-06-26T04:55:26.9183680Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T04:55:26.9184192Z env: 2024-06-26T04:55:26.9184455Z GIT_DEFAULT_BRANCH: main 2024-06-26T04:55:26.9184769Z NO_SUDO: 2024-06-26T04:55:26.9185028Z ##[endgroup] 2024-06-26T04:55:26.9244322Z /home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-06-26T04:55:28.8779992Z ##[group]Run malfet/checkout@silent-checkout 2024-06-26T04:55:28.8780467Z with: 2024-06-26T04:55:28.8780772Z ref: b8c4c54d347aa776934c60784e35936878ef18dc 2024-06-26T04:55:28.8781187Z fetch-depth: 0 2024-06-26T04:55:28.8781483Z submodules: recursive 2024-06-26T04:55:28.8781808Z quiet-checkout: true 2024-06-26T04:55:28.8782119Z repository: pytorch/pytorch 2024-06-26T04:55:28.8782592Z token: *** 2024-06-26T04:55:28.8782856Z ssh-strict: true 2024-06-26T04:55:28.8783146Z persist-credentials: true 2024-06-26T04:55:28.8783482Z clean: true 2024-06-26T04:55:28.8783795Z sparse-checkout-cone-mode: true 2024-06-26T04:55:28.8784149Z lfs: false 2024-06-26T04:55:28.8784425Z set-safe-directory: true 2024-06-26T04:55:28.8784735Z env: 2024-06-26T04:55:28.8784971Z GIT_DEFAULT_BRANCH: main 2024-06-26T04:55:28.8785293Z ##[endgroup] 2024-06-26T04:55:28.9770064Z Syncing repository: pytorch/pytorch 2024-06-26T04:55:28.9772604Z ##[group]Getting Git version info 2024-06-26T04:55:28.9773873Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2024-06-26T04:55:28.9775388Z [command]/usr/bin/git version 2024-06-26T04:55:28.9776005Z git version 2.40.1 2024-06-26T04:55:28.9778305Z ##[endgroup] 2024-06-26T04:55:28.9793277Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/228b1ddb-f817-4d1b-8a5c-7fb3fb49f3d7' before making global git config changes 2024-06-26T04:55:28.9794769Z Adding repository directory to the temporary git global config as a safe directory 2024-06-26T04:55:28.9796853Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-06-26T04:55:28.9816857Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2024-06-26T04:55:28.9821429Z ##[group]Initializing the repository 2024-06-26T04:55:28.9825036Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-06-26T04:55:28.9943107Z hint: Using 'master' as the name for the initial branch. This default branch name 2024-06-26T04:55:28.9944187Z hint: is subject to change. To configure the initial branch name to use in all 2024-06-26T04:55:28.9945009Z hint: of your new repositories, which will suppress this warning, call: 2024-06-26T04:55:28.9945551Z hint: 2024-06-26T04:55:28.9946115Z hint: git config --global init.defaultBranch 2024-06-26T04:55:28.9946572Z hint: 2024-06-26T04:55:28.9947059Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2024-06-26T04:55:28.9947896Z hint: 'development'. The just-created branch can be renamed via this command: 2024-06-26T04:55:28.9948644Z hint: 2024-06-26T04:55:28.9948935Z hint: git branch -m 2024-06-26T04:55:28.9949797Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2024-06-26T04:55:28.9956583Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2024-06-26T04:55:28.9984843Z ##[endgroup] 2024-06-26T04:55:28.9985389Z ##[group]Disabling automatic garbage collection 2024-06-26T04:55:28.9988708Z [command]/usr/bin/git config --local gc.auto 0 2024-06-26T04:55:29.0016026Z ##[endgroup] 2024-06-26T04:55:29.0016504Z ##[group]Setting up auth 2024-06-26T04:55:29.0022062Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2024-06-26T04:55:29.0049555Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2024-06-26T04:55:29.0273241Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2024-06-26T04:55:29.0299131Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2024-06-26T04:55:29.0525500Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2024-06-26T04:55:29.0565562Z ##[endgroup] 2024-06-26T04:55:29.0566153Z ##[group]Fetching the repository 2024-06-26T04:55:29.0571533Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --progress --no-recurse-submodules --quiet origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2024-06-26T04:55:31.2804970Z remote: Enumerating objects: 987778 2024-06-26T04:55:31.2805583Z remote: Enumerating objects: 989963, done. 2024-06-26T04:55:31.2806392Z remote: 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2024-06-26T04:55:31.2866610Z remote: Counting objects: 99% (2164/2185) 2024-06-26T04:55:31.2867096Z remote: Counting objects: 100% (2185/2185) 2024-06-26T04:55:31.2867628Z remote: Counting objects: 100% (2185/2185), done. 2024-06-26T04:55:31.2952606Z remote: Compressing objects: 0% (1/895) 2024-06-26T04:55:31.3226332Z remote: Compressing objects: 1% (9/895) 2024-06-26T04:55:31.3533749Z remote: Compressing objects: 2% (18/895) 2024-06-26T04:55:31.3802658Z remote: Compressing objects: 3% (27/895) 2024-06-26T04:55:31.4117646Z remote: Compressing objects: 4% (36/895) 2024-06-26T04:55:31.4232537Z remote: Compressing objects: 5% (45/895) 2024-06-26T04:55:31.4358837Z remote: Compressing objects: 6% (54/895) 2024-06-26T04:55:31.4514051Z remote: Compressing objects: 7% (63/895) 2024-06-26T04:55:31.4648397Z remote: Compressing objects: 8% (72/895) 2024-06-26T04:55:31.4945604Z remote: Compressing objects: 9% (81/895) 2024-06-26T04:55:31.5640795Z remote: Compressing objects: 10% (90/895) 2024-06-26T04:55:31.6175995Z remote: Compressing objects: 11% (99/895) 2024-06-26T04:55:31.6890033Z remote: Compressing objects: 12% (108/895) 2024-06-26T04:55:31.7091638Z remote: Compressing objects: 13% (117/895) 2024-06-26T04:55:31.7219238Z remote: Compressing objects: 14% (126/895) 2024-06-26T04:55:31.7311075Z remote: Compressing objects: 15% (135/895) 2024-06-26T04:55:31.7421505Z remote: Compressing objects: 16% (144/895) 2024-06-26T04:55:31.7466697Z remote: Compressing objects: 17% (153/895) 2024-06-26T04:55:31.7473676Z remote: Compressing objects: 18% (162/895) 2024-06-26T04:55:31.7479089Z remote: Compressing objects: 19% (171/895) 2024-06-26T04:55:31.7511074Z remote: Compressing objects: 20% (179/895) 2024-06-26T04:55:31.7514612Z remote: Compressing objects: 21% (188/895) 2024-06-26T04:55:31.7529878Z remote: Compressing objects: 22% (197/895) 2024-06-26T04:55:31.7539843Z remote: Compressing objects: 23% (206/895) 2024-06-26T04:55:31.7555144Z remote: Compressing objects: 24% (215/895) 2024-06-26T04:55:31.7568810Z remote: Compressing objects: 25% (224/895) 2024-06-26T04:55:31.7576955Z remote: Compressing objects: 26% (233/895) 2024-06-26T04:55:31.7584673Z remote: Compressing objects: 27% (242/895) 2024-06-26T04:55:31.7589122Z remote: Compressing objects: 28% (251/895) 2024-06-26T04:55:31.7591375Z remote: Compressing objects: 29% (260/895) 2024-06-26T04:55:31.7595833Z remote: Compressing objects: 30% (269/895) 2024-06-26T04:55:31.7599927Z remote: Compressing objects: 31% (278/895) 2024-06-26T04:55:31.7606730Z remote: Compressing objects: 32% (287/895) 2024-06-26T04:55:31.7617916Z remote: Compressing objects: 33% (296/895) 2024-06-26T04:55:31.7621392Z remote: Compressing objects: 34% (305/895) 2024-06-26T04:55:31.7623362Z remote: Compressing objects: 35% (314/895) 2024-06-26T04:55:31.7629041Z remote: Compressing objects: 36% (323/895) 2024-06-26T04:55:31.7635040Z remote: Compressing objects: 37% (332/895) 2024-06-26T04:55:31.7652013Z remote: Compressing objects: 38% (341/895) 2024-06-26T04:55:31.7657861Z remote: Compressing objects: 39% (350/895) 2024-06-26T04:55:31.7670417Z remote: Compressing objects: 40% (358/895) 2024-06-26T04:55:31.7682403Z remote: Compressing objects: 41% (367/895) 2024-06-26T04:55:31.7697593Z remote: Compressing objects: 42% (376/895) 2024-06-26T04:55:31.7709546Z remote: Compressing objects: 43% (385/895) 2024-06-26T04:55:31.7725648Z remote: Compressing objects: 44% (394/895) 2024-06-26T04:55:31.7730162Z remote: Compressing objects: 45% (403/895) 2024-06-26T04:55:31.7744211Z remote: Compressing objects: 46% (412/895) 2024-06-26T04:55:31.7764794Z remote: Compressing objects: 47% (421/895) 2024-06-26T04:55:31.7770761Z remote: Compressing objects: 48% (430/895) 2024-06-26T04:55:31.7783626Z remote: Compressing objects: 49% (439/895) 2024-06-26T04:55:31.7793669Z remote: Compressing objects: 50% (448/895) 2024-06-26T04:55:31.7796870Z remote: Compressing objects: 51% (457/895) 2024-06-26T04:55:31.7800809Z remote: Compressing objects: 52% (466/895) 2024-06-26T04:55:31.7805194Z remote: Compressing objects: 53% (475/895) 2024-06-26T04:55:31.7822850Z remote: Compressing objects: 54% (484/895) 2024-06-26T04:55:31.7831853Z remote: Compressing objects: 55% (493/895) 2024-06-26T04:55:31.7839062Z remote: Compressing objects: 56% (502/895) 2024-06-26T04:55:31.7850471Z remote: Compressing objects: 57% (511/895) 2024-06-26T04:55:31.7858339Z remote: Compressing objects: 58% (520/895) 2024-06-26T04:55:31.7870403Z remote: Compressing objects: 59% (529/895) 2024-06-26T04:55:31.7883717Z remote: Compressing objects: 60% (537/895) 2024-06-26T04:55:31.7893181Z remote: Compressing objects: 61% (546/895) 2024-06-26T04:55:31.7901018Z remote: Compressing objects: 62% (555/895) 2024-06-26T04:55:31.7908420Z remote: Compressing objects: 63% (564/895) 2024-06-26T04:55:31.7919203Z remote: Compressing objects: 64% (573/895) 2024-06-26T04:55:31.7927689Z remote: Compressing objects: 65% (582/895) 2024-06-26T04:55:31.7943152Z remote: Compressing objects: 66% (591/895) 2024-06-26T04:55:31.7945061Z remote: Compressing objects: 67% (600/895) 2024-06-26T04:55:31.7953940Z remote: Compressing objects: 68% (609/895) 2024-06-26T04:55:31.7963868Z remote: Compressing objects: 69% (618/895) 2024-06-26T04:55:31.7969169Z remote: Compressing objects: 70% (627/895) 2024-06-26T04:55:31.7976282Z remote: Compressing objects: 71% (636/895) 2024-06-26T04:55:31.7985866Z remote: Compressing objects: 72% (645/895) 2024-06-26T04:55:31.7994780Z remote: Compressing objects: 73% (654/895) 2024-06-26T04:55:31.8000732Z remote: Compressing objects: 74% (663/895) 2024-06-26T04:55:31.8005452Z remote: Compressing objects: 75% (672/895) 2024-06-26T04:55:31.8007984Z remote: Compressing objects: 76% (681/895) 2024-06-26T04:55:31.8010379Z remote: Compressing objects: 77% (690/895) 2024-06-26T04:55:31.8011353Z remote: Compressing objects: 78% (699/895) 2024-06-26T04:55:31.8012501Z remote: Compressing objects: 79% (708/895) 2024-06-26T04:55:31.8013161Z remote: Compressing objects: 80% (716/895) 2024-06-26T04:55:31.8013668Z remote: Compressing objects: 81% (725/895) 2024-06-26T04:55:31.8114164Z remote: Compressing objects: 82% (734/895) 2024-06-26T04:55:31.8115141Z remote: Compressing objects: 83% (743/895) 2024-06-26T04:55:31.8115842Z remote: Compressing objects: 84% (752/895) 2024-06-26T04:55:31.8116430Z remote: Compressing objects: 85% (761/895) 2024-06-26T04:55:31.8116949Z remote: Compressing objects: 86% (770/895) 2024-06-26T04:55:31.8117447Z remote: Compressing objects: 87% (779/895) 2024-06-26T04:55:31.8118055Z remote: Compressing objects: 88% (788/895) 2024-06-26T04:55:31.8118598Z remote: Compressing objects: 89% (797/895) 2024-06-26T04:55:31.8119107Z remote: Compressing objects: 90% (806/895) 2024-06-26T04:55:31.8119627Z remote: Compressing objects: 91% (815/895) 2024-06-26T04:55:31.8120141Z remote: Compressing objects: 92% (824/895) 2024-06-26T04:55:31.8120637Z remote: Compressing objects: 93% (833/895) 2024-06-26T04:55:31.8121142Z remote: Compressing objects: 94% (842/895) 2024-06-26T04:55:31.8121713Z remote: Compressing objects: 95% (851/895) 2024-06-26T04:55:31.8122212Z remote: Compressing objects: 96% (860/895) 2024-06-26T04:55:31.8122726Z remote: Compressing objects: 97% (869/895) 2024-06-26T04:55:31.8123234Z remote: Compressing objects: 98% (878/895) 2024-06-26T04:55:31.8123729Z remote: Compressing objects: 99% (887/895) 2024-06-26T04:55:31.8124281Z remote: Compressing objects: 100% (895/895) 2024-06-26T04:55:31.8124833Z remote: Compressing objects: 100% (895/895), done. 2024-06-26T04:55:51.4225127Z remote: Total 989963 (delta 1765), reused 1554 (delta 1289), pack-reused 987778 2024-06-26T04:56:18.9450695Z [command]/usr/bin/git rev-parse --verify --quiet b8c4c54d347aa776934c60784e35936878ef18dc^{object} 2024-06-26T04:56:18.9478391Z b8c4c54d347aa776934c60784e35936878ef18dc 2024-06-26T04:56:18.9482539Z ##[endgroup] 2024-06-26T04:56:18.9483123Z ##[group]Determining the checkout info 2024-06-26T04:56:18.9485299Z ##[endgroup] 2024-06-26T04:56:18.9486066Z ##[group]Checking out the ref 2024-06-26T04:56:18.9487559Z [command]/usr/bin/git checkout --quiet --force b8c4c54d347aa776934c60784e35936878ef18dc 2024-06-26T04:56:20.2758964Z ##[endgroup] 2024-06-26T04:56:20.2759606Z ##[group]Setting up auth for fetching submodules 2024-06-26T04:56:20.2765023Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2024-06-26T04:56:20.2810968Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2024-06-26T04:56:20.2840046Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2024-06-26T04:56:20.2867141Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2024-06-26T04:56:20.2891811Z ##[endgroup] 2024-06-26T04:56:20.2892389Z ##[group]Fetching submodules 2024-06-26T04:56:20.2895311Z [command]/usr/bin/git submodule sync --recursive 2024-06-26T04:56:20.3155170Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2024-06-26T04:56:20.3412845Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2024-06-26T04:56:20.3415093Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2024-06-26T04:56:20.3416991Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2024-06-26T04:56:20.3418853Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2024-06-26T04:56:20.3421253Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2024-06-26T04:56:20.3423373Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2024-06-26T04:56:20.3424844Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2024-06-26T04:56:20.3426741Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2024-06-26T04:56:20.3428887Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2024-06-26T04:56:20.3431744Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2024-06-26T04:56:20.3434350Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2024-06-26T04:56:20.3437180Z Submodule 'third_party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'third_party/eigen' 2024-06-26T04:56:20.3440348Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2024-06-26T04:56:20.3443498Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2024-06-26T04:56:20.3446604Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2024-06-26T04:56:20.3449891Z Submodule 'third_party/foxi' (https://github.com/houseroad/foxi.git) registered for path 'third_party/foxi' 2024-06-26T04:56:20.3453450Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2024-06-26T04:56:20.3456733Z Submodule 'third_party/gloo' (https://github.com/facebookincubator/gloo) registered for path 'third_party/gloo' 2024-06-26T04:56:20.3460428Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2024-06-26T04:56:20.3463971Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2024-06-26T04:56:20.3467771Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2024-06-26T04:56:20.3471625Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2024-06-26T04:56:20.3475816Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2024-06-26T04:56:20.3480022Z Submodule 'third_party/nccl/nccl' (https://github.com/NVIDIA/nccl) registered for path 'third_party/nccl/nccl' 2024-06-26T04:56:20.3484222Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2024-06-26T04:56:20.3488438Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2024-06-26T04:56:20.3493326Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2024-06-26T04:56:20.3497592Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2024-06-26T04:56:20.3502485Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2024-06-26T04:56:20.3507064Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2024-06-26T04:56:20.3511977Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2024-06-26T04:56:20.3516845Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2024-06-26T04:56:20.3523303Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2024-06-26T04:56:20.3528110Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2024-06-26T04:56:20.3533344Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2024-06-26T04:56:20.3559130Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2024-06-26T04:56:20.6070350Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2024-06-26T04:56:20.7746614Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2024-06-26T04:56:20.9735718Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2024-06-26T04:56:21.8080384Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2024-06-26T04:56:24.1108047Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2024-06-26T04:56:36.0145098Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2024-06-26T04:56:36.4083330Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2024-06-26T04:56:36.9855938Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2024-06-26T04:56:37.5460302Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2024-06-26T04:56:38.6943142Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2024-06-26T04:56:40.3876597Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/eigen'... 2024-06-26T04:56:45.8208012Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2024-06-26T04:56:47.2257662Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2024-06-26T04:56:48.9641328Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2024-06-26T04:56:50.4995617Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/foxi'... 2024-06-26T04:56:50.6673884Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2024-06-26T04:56:51.1042254Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2024-06-26T04:56:51.4294418Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2024-06-26T04:56:52.6238617Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2024-06-26T04:56:53.0096400Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2024-06-26T04:56:53.2603482Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2024-06-26T04:56:54.7204672Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2024-06-26T04:56:55.4863828Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nccl/nccl'... 2024-06-26T04:56:56.1438895Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2024-06-26T04:57:02.4029463Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2024-06-26T04:57:04.9880788Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2024-06-26T04:57:12.2439825Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2024-06-26T04:57:12.4722742Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2024-06-26T04:57:21.5263365Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2024-06-26T04:57:21.7381028Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2024-06-26T04:57:21.9820971Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2024-06-26T04:57:23.0127881Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2024-06-26T04:57:23.2913110Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2024-06-26T04:57:23.9223510Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2024-06-26T04:57:24.3164092Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2024-06-26T04:57:24.3265695Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2024-06-26T04:57:24.3341015Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2024-06-26T04:57:24.3545271Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2024-06-26T04:57:24.3867691Z Submodule path 'third_party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191' 2024-06-26T04:57:25.2378026Z Submodule path 'third_party/XNNPACK': checked out 'fcbf55af6cf28a4627bcd1f703ab7ad843f0f3a2' 2024-06-26T04:57:25.2582917Z Submodule path 'third_party/benchmark': checked out '0d98dba29d66e93259db7daa53a9327df767a415' 2024-06-26T04:57:25.2948933Z Submodule path 'third_party/cpp-httplib': checked out '3b6597bba913d51161383657829b7e644e59c006' 2024-06-26T04:57:25.3857166Z Submodule path 'third_party/cpuinfo': checked out '3c8b1533ac03dd6531ab6e7b9245d488f13a82a5' 2024-06-26T04:57:25.4161744Z Submodule path 'third_party/cudnn_frontend': checked out 'aa3abd4bc689d6412979c7f55f9cd132848c9c6a' 2024-06-26T04:57:25.8894909Z Submodule path 'third_party/cutlass': checked out 'bbe579a9e3beb6ea6626d9227ec32d0dae119a49' 2024-06-26T04:57:26.1194818Z Submodule path 'third_party/eigen': checked out '3147391d946bb4b6c68edd901f2add6ac1f31f8c' 2024-06-26T04:57:26.1887487Z Submodule path 'third_party/fbgemm': checked out 'dbc3157bf256f1339b3fa1fef2be89ac4078be0e' 2024-06-26T04:57:26.1902311Z Submodule 'third_party/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/third_party/asmjit' 2024-06-26T04:57:26.1904411Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/third_party/cpuinfo' 2024-06-26T04:57:26.1906866Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/fbgemm/third_party/cutlass' 2024-06-26T04:57:26.1909306Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/third_party/googletest' 2024-06-26T04:57:26.1912047Z Submodule 'third_party/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/third_party/hipify_torch' 2024-06-26T04:57:26.1935335Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/asmjit'... 2024-06-26T04:57:27.1091821Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/cpuinfo'... 2024-06-26T04:57:27.6592121Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/cutlass'... 2024-06-26T04:57:29.4205127Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/googletest'... 2024-06-26T04:57:30.4892429Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/hipify_torch'... 2024-06-26T04:57:30.7929389Z Submodule path 'third_party/fbgemm/third_party/asmjit': checked out 'd3fbf7c9bc7c1d1365a94a45614b91c5a3706b81' 2024-06-26T04:57:30.8803833Z Submodule path 'third_party/fbgemm/third_party/cpuinfo': checked out 'ed8b86a253800bafdb7b25c5c399f91bff9cb1f3' 2024-06-26T04:57:31.2474908Z Submodule path 'third_party/fbgemm/third_party/cutlass': checked out 'fc9ebc645b63f3a6bc80aaefde5c063fb72110d6' 2024-06-26T04:57:31.3055608Z Submodule path 'third_party/fbgemm/third_party/googletest': checked out 'cbf019de22c8dd37b2108da35b2748fd702d1796' 2024-06-26T04:57:31.3164186Z Submodule path 'third_party/fbgemm/third_party/hipify_torch': checked out '23f53b025b466d8ec3c45d52290d3442f7fbe6b1' 2024-06-26T04:57:31.4193099Z Submodule path 'third_party/flatbuffers': checked out '01834de25e4bf3975a9a00e816292b1ad0fe184b' 2024-06-26T04:57:31.4508670Z Submodule path 'third_party/fmt': checked out 'e69e5f977d458f2650bb346dadf2ad30c5320281' 2024-06-26T04:57:31.4586816Z Submodule path 'third_party/foxi': checked out 'c278588e34e535f0bb8f00df3880d26928038cad' 2024-06-26T04:57:31.4945865Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2024-06-26T04:57:31.5161496Z Submodule path 'third_party/gloo': checked out '5354032ea08eadd7fc4456477f7f7c6308818509' 2024-06-26T04:57:31.5569152Z Submodule path 'third_party/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2024-06-26T04:57:31.5679089Z Submodule path 'third_party/ideep': checked out '55ca0191687aaf19aca5cdb7881c791e3bea442b' 2024-06-26T04:57:31.5691541Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2024-06-26T04:57:31.5711814Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2024-06-26T04:57:44.4580424Z Submodule path 'third_party/ideep/mkl-dnn': checked out '1137e04ec0b5251ca2b4400a4fd3c667ce843d67' 2024-06-26T04:57:44.4735808Z Submodule path 'third_party/ittapi': checked out '5b8a7d7422611c3a0d799fb5fc5dd4abfae35b42' 2024-06-26T04:57:44.5591486Z Submodule path 'third_party/kineto': checked out '8681ff11e1fa54da39023076c5c43eddd87b7a8a' 2024-06-26T04:57:44.5608088Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2024-06-26T04:57:44.5611661Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2024-06-26T04:57:44.5613665Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2024-06-26T04:57:44.5633458Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2024-06-26T04:57:45.0793280Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2024-06-26T04:57:46.4069796Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2024-06-26T04:57:47.5923598Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2024-06-26T04:57:47.5936376Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2024-06-26T04:57:47.5938252Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2024-06-26T04:57:47.5940512Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2024-06-26T04:57:47.5942807Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2024-06-26T04:57:47.5945015Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2024-06-26T04:57:47.5947437Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2024-06-26T04:57:47.5949911Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2024-06-26T04:57:47.5952444Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2024-06-26T04:57:47.5974761Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2024-06-26T04:57:48.6256769Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2024-06-26T04:57:48.9734397Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2024-06-26T04:57:50.3083470Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2024-06-26T04:57:50.5676423Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2024-06-26T04:57:51.0438568Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2024-06-26T04:57:52.1201770Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2024-06-26T04:57:59.4898311Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2024-06-26T04:57:59.8542724Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2024-06-26T04:57:59.8699192Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2024-06-26T04:57:59.9031248Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2024-06-26T04:57:59.9141776Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2024-06-26T04:57:59.9153605Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2024-06-26T04:57:59.9174735Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2024-06-26T04:58:00.2090202Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2024-06-26T04:58:00.2246107Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2024-06-26T04:58:00.2599747Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2024-06-26T04:58:00.3537468Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2024-06-26T04:58:00.3676706Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2024-06-26T04:58:00.3998288Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out 'a33701196adfad74917046096bf5a2aa0ab0bb50' 2024-06-26T04:58:00.4521457Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2024-06-26T04:58:00.4836910Z Submodule path 'third_party/mimalloc': checked out 'b66e3214d8a104669c2ec05ae91ebc26a8f5ab78' 2024-06-26T04:58:00.5043481Z Submodule path 'third_party/nccl/nccl': checked out '48bb7fec7953112ff37499a272317f6663f8f600' 2024-06-26T04:58:00.5991766Z Submodule path 'third_party/nlohmann': checked out '87cda1d6646592ac5866dc703c8e1839046a6806' 2024-06-26T04:58:00.8936122Z Submodule path 'third_party/onnx': checked out '990217f043af7222348ca8f0301e17fa7b841781' 2024-06-26T04:58:00.8965689Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/onnx/third_party/benchmark' 2024-06-26T04:58:00.8967424Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2024-06-26T04:58:00.8990149Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/benchmark'... 2024-06-26T04:58:01.3788795Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2024-06-26T04:58:02.4517462Z Submodule path 'third_party/onnx/third_party/benchmark': checked out '2dd015dfef425c866d9a43f2c67d8b52d709acb6' 2024-06-26T04:58:02.4826148Z Submodule path 'third_party/onnx/third_party/pybind11': checked out '5b0a6fc2017fcc176545afe3e09c9f9885283242' 2024-06-26T04:58:02.5413434Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2024-06-26T04:58:02.5432787Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2024-06-26T04:58:02.5434749Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2024-06-26T04:58:02.5437007Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2024-06-26T04:58:02.5440075Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2024-06-26T04:58:02.5442989Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2024-06-26T04:58:02.5445557Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2024-06-26T04:58:02.5448482Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2024-06-26T04:58:02.5451277Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2024-06-26T04:58:02.5474877Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2024-06-26T04:58:02.9433019Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2024-06-26T04:58:04.0844028Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2024-06-26T04:58:04.3671104Z Cloning into 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2024-06-26T04:58:29.3931095Z Entering 'third_party/ideep' 2024-06-26T04:58:29.3968738Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2024-06-26T04:58:29.3982667Z Entering 'third_party/ideep/mkl-dnn' 2024-06-26T04:58:29.4020384Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2024-06-26T04:58:29.4042444Z Entering 'third_party/ittapi' 2024-06-26T04:58:29.4081100Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2024-06-26T04:58:29.4095269Z Entering 'third_party/kineto' 2024-06-26T04:58:29.4134136Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2024-06-26T04:58:29.4147483Z Entering 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2024-06-26T04:58:29.5493157Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2024-06-26T04:58:29.5531066Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2024-06-26T04:58:29.5544717Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2024-06-26T04:58:29.5581204Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2024-06-26T04:58:29.5596835Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2024-06-26T04:58:29.5634738Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2024-06-26T04:58:29.5650752Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2024-06-26T04:58:29.5688738Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2024-06-26T04:58:29.5721998Z Entering 'third_party/pocketfft' 2024-06-26T04:58:29.5760132Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2024-06-26T04:58:29.5773860Z Entering 'third_party/protobuf' 2024-06-26T04:58:29.5812630Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2024-06-26T04:58:29.5829432Z Entering 'third_party/protobuf/third_party/benchmark' 2024-06-26T04:58:29.5866796Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2024-06-26T04:58:29.5880677Z Entering 'third_party/protobuf/third_party/googletest' 2024-06-26T04:58:29.5917792Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2024-06-26T04:58:29.5932705Z Entering 'third_party/psimd' 2024-06-26T04:58:29.5970723Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2024-06-26T04:58:29.5984140Z Entering 'third_party/pthreadpool' 2024-06-26T04:58:29.6021960Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2024-06-26T04:58:29.6035703Z Entering 'third_party/pybind11' 2024-06-26T04:58:29.6073551Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2024-06-26T04:58:29.6088072Z Entering 'third_party/python-peachpy' 2024-06-26T04:58:29.6125991Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2024-06-26T04:58:29.6140351Z Entering 'third_party/sleef' 2024-06-26T04:58:29.6178762Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2024-06-26T04:58:29.6193423Z Entering 'third_party/tensorpipe' 2024-06-26T04:58:29.6230786Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2024-06-26T04:58:29.6246535Z Entering 'third_party/tensorpipe/third_party/googletest' 2024-06-26T04:58:29.6283720Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2024-06-26T04:58:29.6297560Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-06-26T04:58:29.6333418Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2024-06-26T04:58:29.6347515Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-06-26T04:58:29.6388644Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2024-06-26T04:58:29.6403597Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-06-26T04:58:29.6443630Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2024-06-26T04:58:29.6460214Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-06-26T04:58:29.6499418Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2024-06-26T04:58:29.7549119Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2024-06-26T04:58:29.7800776Z Entering 'android/libs/fbjni' 2024-06-26T04:58:29.7834615Z Entering 'third_party/FP16' 2024-06-26T04:58:29.7868567Z Entering 'third_party/FXdiv' 2024-06-26T04:58:29.7901912Z Entering 'third_party/NNPACK' 2024-06-26T04:58:29.7935501Z Entering 'third_party/VulkanMemoryAllocator' 2024-06-26T04:58:29.7970293Z Entering 'third_party/XNNPACK' 2024-06-26T04:58:29.8020304Z Entering 'third_party/benchmark' 2024-06-26T04:58:29.8054237Z Entering 'third_party/cpp-httplib' 2024-06-26T04:58:29.8089630Z Entering 'third_party/cpuinfo' 2024-06-26T04:58:29.8123747Z Entering 'third_party/cudnn_frontend' 2024-06-26T04:58:29.8156507Z Entering 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[command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2024-06-26T04:58:30.0488407Z Entering 'android/libs/fbjni' 2024-06-26T04:58:30.0521124Z Entering 'third_party/FP16' 2024-06-26T04:58:30.0553067Z Entering 'third_party/FXdiv' 2024-06-26T04:58:30.0585072Z Entering 'third_party/NNPACK' 2024-06-26T04:58:30.0617224Z Entering 'third_party/VulkanMemoryAllocator' 2024-06-26T04:58:30.0650127Z Entering 'third_party/XNNPACK' 2024-06-26T04:58:30.0699476Z Entering 'third_party/benchmark' 2024-06-26T04:58:30.0731781Z Entering 'third_party/cpp-httplib' 2024-06-26T04:58:30.0764357Z Entering 'third_party/cpuinfo' 2024-06-26T04:58:30.0796872Z Entering 'third_party/cudnn_frontend' 2024-06-26T04:58:30.0830461Z Entering 'third_party/cutlass' 2024-06-26T04:58:30.0870053Z Entering 'third_party/eigen' 2024-06-26T04:58:30.0904774Z Entering 'third_party/fbgemm' 2024-06-26T04:58:30.0938352Z Entering 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2024-06-26T04:58:30.2173258Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2024-06-26T04:58:30.2205633Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2024-06-26T04:58:30.2236541Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2024-06-26T04:58:30.2268467Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2024-06-26T04:58:30.2300260Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2024-06-26T04:58:30.2333900Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2024-06-26T04:58:30.2368348Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2024-06-26T04:58:30.2419442Z Entering 'third_party/pocketfft' 2024-06-26T04:58:30.2452221Z Entering 'third_party/protobuf' 2024-06-26T04:58:30.2488804Z Entering 'third_party/protobuf/third_party/benchmark' 2024-06-26T04:58:30.2520886Z Entering 'third_party/protobuf/third_party/googletest' 2024-06-26T04:58:30.2553278Z Entering 'third_party/psimd' 2024-06-26T04:58:30.2586184Z Entering 'third_party/pthreadpool' 2024-06-26T04:58:30.2620215Z Entering 'third_party/pybind11' 2024-06-26T04:58:30.2653268Z Entering 'third_party/python-peachpy' 2024-06-26T04:58:30.2686641Z Entering 'third_party/sleef' 2024-06-26T04:58:30.2719404Z Entering 'third_party/tensorpipe' 2024-06-26T04:58:30.2751888Z Entering 'third_party/tensorpipe/third_party/googletest' 2024-06-26T04:58:30.2783688Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-06-26T04:58:30.2815963Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-06-26T04:58:30.2849203Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-06-26T04:58:30.2881285Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-06-26T04:58:30.2924751Z ##[endgroup] 2024-06-26T04:58:30.2958792Z [command]/usr/bin/git log -1 --format='%H' 2024-06-26T04:58:30.2981579Z 'b8c4c54d347aa776934c60784e35936878ef18dc' 2024-06-26T04:58:30.3158970Z Prepare all required actions 2024-06-26T04:58:30.3159428Z Getting action download info 2024-06-26T04:58:30.4591079Z ##[group]Run ./.github/actions/setup-linux 2024-06-26T04:58:30.4591490Z env: 2024-06-26T04:58:30.4591744Z GIT_DEFAULT_BRANCH: main 2024-06-26T04:58:30.4592056Z ##[endgroup] 2024-06-26T04:58:30.4653954Z ##[group]Run set -euo pipefail 2024-06-26T04:58:30.4654370Z set -euo pipefail 2024-06-26T04:58:30.4654728Z function get_ec2_metadata() { 2024-06-26T04:58:30.4655249Z  # Pulled from instance metadata endpoint for EC2 2024-06-26T04:58:30.4656149Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2024-06-26T04:58:30.4656917Z  category=$1 2024-06-26T04:58:30.4657426Z  # If it is GCP runner (runner name contains gcp), do not run this 2024-06-26T04:58:30.4658049Z  runner_name_str=i-007b198452d40c079 2024-06-26T04:58:30.4658665Z  if [[ -f /.inarc ]]; then 2024-06-26T04:58:30.4659140Z  echo "ARC Runner, no info on ec2 metadata" 2024-06-26T04:58:30.4659783Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2024-06-26T04:58:30.4660466Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2024-06-26T04:58:30.4661070Z  else 2024-06-26T04:58:30.4661532Z  curl -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2024-06-26T04:58:30.4662103Z  fi 2024-06-26T04:58:30.4662369Z } 2024-06-26T04:58:30.4662690Z echo "ami-id: $(get_ec2_metadata ami-id)" 2024-06-26T04:58:30.4663260Z echo "instance-id: $(get_ec2_metadata instance-id)" 2024-06-26T04:58:30.4663902Z echo "instance-type: $(get_ec2_metadata instance-type)" 2024-06-26T04:58:30.4664442Z echo "system info $(uname -a)" 2024-06-26T04:58:30.4672096Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T04:58:30.4672591Z env: 2024-06-26T04:58:30.4672839Z GIT_DEFAULT_BRANCH: main 2024-06-26T04:58:30.4673163Z ##[endgroup] 2024-06-26T04:58:30.4753611Z ami-id: ami-0ce0c36d7a00b20e2 2024-06-26T04:58:30.4808210Z instance-id: i-007b198452d40c079 2024-06-26T04:58:30.4859816Z instance-type: c5.2xlarge 2024-06-26T04:58:30.4866829Z system info Linux ip-10-0-39-227.ec2.internal 4.14.336-257.562.amzn2.x86_64 #1 SMP Sat Feb 24 09:50:35 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2024-06-26T04:58:30.4888714Z ##[group]Run echo "IN_ARC_RUNNER=$([ -f /.inarc ] && echo true || echo false)" >> $GITHUB_OUTPUT 2024-06-26T04:58:30.4889702Z echo "IN_ARC_RUNNER=$([ -f /.inarc ] && echo true || echo false)" >> $GITHUB_OUTPUT 2024-06-26T04:58:30.4897457Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T04:58:30.4897940Z env: 2024-06-26T04:58:30.4898186Z GIT_DEFAULT_BRANCH: main 2024-06-26T04:58:30.4898513Z ##[endgroup] 2024-06-26T04:58:30.4998833Z ##[group]Run if systemctl is-active --quiet docker; then 2024-06-26T04:58:30.4999412Z if systemctl is-active --quiet docker; then 2024-06-26T04:58:30.4999936Z  echo "Docker daemon is running..."; 2024-06-26T04:58:30.5000367Z else 2024-06-26T04:58:30.5000829Z  echo "Starting docker deamon..." && sudo systemctl start docker; 2024-06-26T04:58:30.5001403Z fi 2024-06-26T04:58:30.5008605Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T04:58:30.5009078Z env: 2024-06-26T04:58:30.5009333Z GIT_DEFAULT_BRANCH: main 2024-06-26T04:58:30.5009655Z ##[endgroup] 2024-06-26T04:58:30.5110497Z Docker daemon is running... 2024-06-26T04:58:30.5155911Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2024-06-26T04:58:30.5156468Z with: 2024-06-26T04:58:30.5156723Z shell: bash 2024-06-26T04:58:30.5156986Z timeout_minutes: 5 2024-06-26T04:58:30.5157293Z max_attempts: 3 2024-06-26T04:58:30.5157587Z retry_wait_seconds: 30 2024-06-26T04:58:30.5159728Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" 2024-06-26T04:58:30.5161224Z polling_interval_seconds: 1 2024-06-26T04:58:30.5161586Z warning_on_retry: true 2024-06-26T04:58:30.5161920Z continue_on_error: false 2024-06-26T04:58:30.5162224Z env: 2024-06-26T04:58:30.5162476Z GIT_DEFAULT_BRANCH: main 2024-06-26T04:58:30.5162806Z AWS_RETRY_MODE: standard 2024-06-26T04:58:30.5163124Z AWS_MAX_ATTEMPTS: 5 2024-06-26T04:58:30.5163442Z AWS_DEFAULT_REGION: us-east-1 2024-06-26T04:58:30.5163793Z ##[endgroup] 2024-06-26T04:58:31.9751944Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2024-06-26T04:58:31.9753321Z Configure a credential helper to remove this warning. See 2024-06-26T04:58:31.9754163Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2024-06-26T04:58:31.9754958Z 2024-06-26T04:58:31.9755076Z Login Succeeded 2024-06-26T04:58:32.5688362Z Command completed after 1 attempt(s). 2024-06-26T04:58:32.5734068Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2024-06-26T04:58:32.5734785Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2024-06-26T04:58:32.5735436Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2024-06-26T04:58:32.5743093Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T04:58:32.5743569Z env: 2024-06-26T04:58:32.5743832Z GIT_DEFAULT_BRANCH: main 2024-06-26T04:58:32.5744168Z ##[endgroup] 2024-06-26T04:58:32.5820185Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2024-06-26T04:58:32.5820957Z # ignore expansion of "docker ps -q" since it could be empty 2024-06-26T04:58:32.5821540Z # shellcheck disable=SC2046 2024-06-26T04:58:32.5821984Z docker stop $(docker ps -q) || true 2024-06-26T04:58:32.5822458Z # Prune all of the docker images 2024-06-26T04:58:32.5822891Z docker system prune -af 2024-06-26T04:58:32.5830088Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T04:58:32.5830564Z env: 2024-06-26T04:58:32.5830828Z GIT_DEFAULT_BRANCH: main 2024-06-26T04:58:32.5831155Z ##[endgroup] 2024-06-26T04:58:32.6069625Z "docker stop" requires at least 1 argument. 2024-06-26T04:58:32.6070224Z See 'docker stop --help'. 2024-06-26T04:58:32.6070470Z 2024-06-26T04:58:32.6070681Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2024-06-26T04:58:32.6071050Z 2024-06-26T04:58:32.6071197Z Stop one or more running containers 2024-06-26T04:58:32.6208525Z Total reclaimed space: 0B 2024-06-26T04:58:32.6237206Z ##[group]Run set +e 2024-06-26T04:58:32.6237650Z set +e 2024-06-26T04:58:32.6238107Z set -x 2024-06-26T04:58:32.6238384Z  2024-06-26T04:58:32.6238685Z PT_DOMAIN=download.pytorch.org 2024-06-26T04:58:32.6239483Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2024-06-26T04:58:32.6240568Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2024-06-26T04:58:32.6241315Z # one is returned at random 2024-06-26T04:58:32.6241822Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2024-06-26T04:58:32.6242323Z  2024-06-26T04:58:32.6242611Z if [ -z "${RESOLVED_IP}" ]; then 2024-06-26T04:58:32.6243195Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2024-06-26T04:58:32.6243938Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2024-06-26T04:58:32.6244474Z  2024-06-26T04:58:32.6244773Z  if [ -z "${RESOLVED_IP}" ]; then 2024-06-26T04:58:32.6245290Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2024-06-26T04:58:32.6245786Z  exit 1 2024-06-26T04:58:32.6246080Z  fi 2024-06-26T04:58:32.6246327Z fi 2024-06-26T04:58:32.6246715Z  2024-06-26T04:58:32.6247052Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2024-06-26T04:58:32.6247540Z  # Clean up any old records first 2024-06-26T04:58:32.6248028Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2024-06-26T04:58:32.6248460Z fi 2024-06-26T04:58:32.6248700Z  2024-06-26T04:58:32.6249105Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2024-06-26T04:58:32.6249637Z cat /etc/hosts 2024-06-26T04:58:32.6257021Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T04:58:32.6257501Z env: 2024-06-26T04:58:32.6257761Z GIT_DEFAULT_BRANCH: main 2024-06-26T04:58:32.6258074Z ##[endgroup] 2024-06-26T04:58:32.6278996Z + PT_DOMAIN=download.pytorch.org 2024-06-26T04:58:32.6283630Z ++ dig -4 +short download.pytorch.org 2024-06-26T04:58:32.6284129Z ++ tail -n1 2024-06-26T04:58:32.6976269Z + RESOLVED_IP=18.160.10.22 2024-06-26T04:58:32.6976987Z + '[' -z 18.160.10.22 ']' 2024-06-26T04:58:32.6977428Z + grep -r download.pytorch.org /etc/hosts 2024-06-26T04:58:32.6983449Z 18.160.10.28 download.pytorch.org 2024-06-26T04:58:32.6984465Z + sudo sed -i /download.pytorch.org/d /etc/hosts 2024-06-26T04:58:32.7088505Z + echo '18.160.10.22 download.pytorch.org' 2024-06-26T04:58:32.7089420Z + sudo tee -a /etc/hosts 2024-06-26T04:58:32.7773723Z 18.160.10.22 download.pytorch.org 2024-06-26T04:58:32.7786667Z + cat /etc/hosts 2024-06-26T04:58:32.7792268Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2024-06-26T04:58:32.7805345Z ::1 localhost6 localhost6.localdomain6 2024-06-26T04:58:32.7805847Z 18.160.10.22 download.pytorch.org 2024-06-26T04:58:32.7965527Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2024-06-26T04:58:32.7966118Z with: 2024-06-26T04:58:32.7967077Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-jammy-py3-clang12-executorch:91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T04:58:32.7968215Z docker-build-dir: .ci/docker 2024-06-26T04:58:32.7968574Z working-directory: . 2024-06-26T04:58:32.7969014Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-06-26T04:58:32.7969532Z force-push: false 2024-06-26T04:58:32.7969811Z env: 2024-06-26T04:58:32.7970048Z GIT_DEFAULT_BRANCH: main 2024-06-26T04:58:32.7970370Z ##[endgroup] 2024-06-26T04:58:32.7989774Z ##[group]Run set -ex 2024-06-26T04:58:32.7990112Z set -ex 2024-06-26T04:58:32.7990388Z  2024-06-26T04:58:32.7990922Z # If the docker build directory or the build script doesn't exist, the action will 2024-06-26T04:58:32.7991927Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2024-06-26T04:58:32.7992716Z # job could then download the pre-built image as usual 2024-06-26T04:58:32.7993666Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/build.sh" ]]; then 2024-06-26T04:58:32.7994348Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2024-06-26T04:58:32.7994969Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2024-06-26T04:58:32.7995512Z  2024-06-26T04:58:32.7996005Z  echo "There is no Docker build script in ${REPO_NAME} repo, skipping..." 2024-06-26T04:58:32.7996621Z  exit 0 2024-06-26T04:58:32.7996888Z else 2024-06-26T04:58:32.7997228Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2024-06-26T04:58:32.7997660Z fi 2024-06-26T04:58:32.7998030Z  2024-06-26T04:58:32.7998491Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2024-06-26T04:58:32.7999350Z  # The docker image name already includes the ECR prefix and tag, so we can just 2024-06-26T04:58:32.8000112Z  # use it as it is, but first let's extract the tag 2024-06-26T04:58:32.8000805Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2024-06-26T04:58:32.8001529Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2024-06-26T04:58:32.8002219Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2024-06-26T04:58:32.8002758Z else 2024-06-26T04:58:32.8003176Z  DOCKER_TAG=$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2024-06-26T04:58:32.8003821Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2024-06-26T04:58:32.8004700Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2024-06-26T04:58:32.8005448Z fi 2024-06-26T04:58:32.8012791Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T04:58:32.8013257Z env: 2024-06-26T04:58:32.8013510Z GIT_DEFAULT_BRANCH: main 2024-06-26T04:58:32.8013844Z REPO_NAME: pytorch 2024-06-26T04:58:32.8014841Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-jammy-py3-clang12-executorch:91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T04:58:32.8016055Z DOCKER_BUILD_DIR: .ci/docker 2024-06-26T04:58:32.8016535Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-06-26T04:58:32.8017041Z ##[endgroup] 2024-06-26T04:58:32.8038431Z + [[ ! -d .ci/docker ]] 2024-06-26T04:58:32.8038866Z + [[ ! -f .ci/docker/build.sh ]] 2024-06-26T04:58:32.8039231Z + echo skip=false 2024-06-26T04:58:32.8041016Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-jammy-py3-clang12-executorch:91382da70d5719cd7007b6b80b71d2f48398f6b7 == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2024-06-26T04:58:32.8045290Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-jammy-py3-clang12-executorch:91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T04:58:32.8046362Z ++ awk -F '[:,]' '{print $2}' 2024-06-26T04:58:32.8053085Z + DOCKER_TAG=91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T04:58:32.8053736Z + echo docker-tag=91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T04:58:32.8055245Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-jammy-py3-clang12-executorch:91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T04:58:32.8082096Z ##[group]Run set +e 2024-06-26T04:58:32.8082436Z set +e 2024-06-26T04:58:32.8082720Z set -x 2024-06-26T04:58:32.8082989Z  2024-06-26T04:58:32.8083228Z login() { 2024-06-26T04:58:32.8083873Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2024-06-26T04:58:32.8084785Z } 2024-06-26T04:58:32.8085025Z  2024-06-26T04:58:32.8085289Z retry () { 2024-06-26T04:58:32.8085660Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2024-06-26T04:58:32.8086078Z } 2024-06-26T04:58:32.8086324Z  2024-06-26T04:58:32.8086614Z retry login "${DOCKER_REGISTRY}" 2024-06-26T04:58:32.8087007Z  2024-06-26T04:58:32.8087458Z # Check if image already exists, if it does then skip building it 2024-06-26T04:58:32.8106038Z if docker manifest inspect "${DOCKER_IMAGE}"; then 2024-06-26T04:58:32.8106663Z  exit 0 2024-06-26T04:58:32.8106945Z fi 2024-06-26T04:58:32.8107206Z  2024-06-26T04:58:32.8107678Z # NB: This part requires a full checkout. Otherwise, the merge base will 2024-06-26T04:58:32.8108508Z # be empty. The default action would be to continue rebuild the image 2024-06-26T04:58:32.8109241Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2024-06-26T04:58:32.8109902Z  # if we're on the base branch then use the parent commit 2024-06-26T04:58:32.8110480Z  MERGE_BASE=$(git rev-parse HEAD~) 2024-06-26T04:58:32.8110892Z else 2024-06-26T04:58:32.8111340Z  # otherwise we're on a PR, so use the most recent base commit 2024-06-26T04:58:32.8112014Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2024-06-26T04:58:32.8112508Z fi 2024-06-26T04:58:32.8112770Z  2024-06-26T04:58:32.8113052Z if [[ -z "${MERGE_BASE}" ]]; then 2024-06-26T04:58:32.8113540Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2024-06-26T04:58:32.8113979Z  2024-06-26T04:58:32.8114611Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2024-06-26T04:58:32.8115377Z  exit 0 2024-06-26T04:58:32.8115657Z fi 2024-06-26T04:58:32.8115899Z  2024-06-26T04:58:32.8116316Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2024-06-26T04:58:32.8117306Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2024-06-26T04:58:32.8118385Z  exit 1 2024-06-26T04:58:32.8118776Z fi 2024-06-26T04:58:32.8119317Z  2024-06-26T04:58:32.8119780Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2024-06-26T04:58:32.8120741Z # If no image exists but the hash is the same as the previous hash then we should error out here 2024-06-26T04:58:32.8121607Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2024-06-26T04:58:32.8122581Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2024-06-26T04:58:32.8123682Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2024-06-26T04:58:32.8124328Z fi 2024-06-26T04:58:32.8124586Z  2024-06-26T04:58:32.8125002Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2024-06-26T04:58:32.8132238Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T04:58:32.8132719Z env: 2024-06-26T04:58:32.8132963Z GIT_DEFAULT_BRANCH: main 2024-06-26T04:58:32.8133317Z DOCKER_BUILD_DIR: .ci/docker 2024-06-26T04:58:32.8133765Z BASE_REVISION: 4b9c9a9cc9c9283380a011310ba180c105c3dcb9 2024-06-26T04:58:32.8135025Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-jammy-py3-clang12-executorch:91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T04:58:32.8136144Z DOCKER_TAG: 91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T04:58:32.8136732Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-06-26T04:58:32.8137235Z ##[endgroup] 2024-06-26T04:58:32.8158051Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-06-26T04:58:32.8158696Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-06-26T04:58:32.8160216Z + aws ecr get-login-password --region us-east-1 2024-06-26T04:58:32.8161328Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-06-26T04:58:33.2098188Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2024-06-26T04:58:33.2099193Z Configure a credential helper to remove this warning. See 2024-06-26T04:58:33.2100121Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2024-06-26T04:58:33.2100647Z 2024-06-26T04:58:33.2100753Z Login Succeeded 2024-06-26T04:58:33.2108627Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-jammy-py3-clang12-executorch:91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T04:58:33.4258097Z { 2024-06-26T04:58:33.4258677Z "schemaVersion": 2, 2024-06-26T04:58:33.4259233Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2024-06-26T04:58:33.4260017Z "config": { 2024-06-26T04:58:33.4260792Z "mediaType": "application/vnd.docker.container.image.v1+json", 2024-06-26T04:58:33.4261438Z "size": 43468, 2024-06-26T04:58:33.4261982Z "digest": "sha256:306ecb63e76777d4e6c2ed20b30422a80ee5afee1af22f939c49c792e4783b05" 2024-06-26T04:58:33.4262586Z }, 2024-06-26T04:58:33.4262825Z "layers": [ 2024-06-26T04:58:33.4263086Z { 2024-06-26T04:58:33.4263557Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-06-26T04:58:33.4264470Z "size": 30439283, 2024-06-26T04:58:33.4265379Z "digest": "sha256:2ec76a50fe7c8d5db9ec25590b9217e14e3920513c6e7b5be55db72a16b55f7c" 2024-06-26T04:58:33.4266433Z }, 2024-06-26T04:58:33.4267123Z { 2024-06-26T04:58:33.4267909Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-06-26T04:58:33.4268655Z "size": 1823, 2024-06-26T04:58:33.4269183Z "digest": "sha256:53dcf3fc784e25638bd8672f84820ec80123d18c54adbec58051987420636d8c" 2024-06-26T04:58:33.4269793Z }, 2024-06-26T04:58:33.4270069Z { 2024-06-26T04:58:33.4270854Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-06-26T04:58:33.4271751Z "size": 343969047, 2024-06-26T04:58:33.4272342Z "digest": "sha256:181ee8b2290b098cad9d910fadcccdd5e7cdfdeaba1fb1a0f4db6e75cfd84716" 2024-06-26T04:58:33.4272970Z }, 2024-06-26T04:58:33.4273193Z { 2024-06-26T04:58:33.4273810Z "mediaType": 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2024-06-26T04:58:33.4281732Z "size": 1238, 2024-06-26T04:58:33.4282267Z "digest": "sha256:961ca4a5b37a8e314ea7fde66f7445c4b649000a7374394f4b33cfb3e8cb593e" 2024-06-26T04:58:33.4282878Z }, 2024-06-26T04:58:33.4283087Z { 2024-06-26T04:58:33.4283506Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-06-26T04:58:33.4284081Z "size": 485, 2024-06-26T04:58:33.4284660Z "digest": "sha256:b8e45ccefd130e4a14275395637bfc70bfb55cf38f03f10fd8d559cce9d067e1" 2024-06-26T04:58:33.4285279Z }, 2024-06-26T04:58:33.4285501Z { 2024-06-26T04:58:33.4285904Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-06-26T04:58:33.4286449Z "size": 110, 2024-06-26T04:58:33.4286990Z "digest": "sha256:10df00be8fceca4a719085fca6e32d31c8851c5c993c3d9ac1e31d85322b843f" 2024-06-26T04:58:33.4287597Z }, 2024-06-26T04:58:33.4287818Z { 2024-06-26T04:58:33.4288232Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-06-26T04:58:33.4288771Z "size": 3686, 2024-06-26T04:58:33.4289300Z "digest": "sha256:8a378ca41167a0f599184108e4f64aeafac7e67cd67db069d98f3fecc31af866" 2024-06-26T04:58:33.4289902Z }, 2024-06-26T04:58:33.4290112Z { 2024-06-26T04:58:33.4290526Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-06-26T04:58:33.4291069Z "size": 1905, 2024-06-26T04:58:33.4291581Z "digest": "sha256:17781119b281ef55fd019ab44ad1c2d5a5814f6f026e41a5d6411c34a248fea8" 2024-06-26T04:58:33.4292187Z }, 2024-06-26T04:58:33.4292407Z { 2024-06-26T04:58:33.4292810Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-06-26T04:58:33.4293354Z "size": 699, 2024-06-26T04:58:33.4293883Z "digest": "sha256:c649f5998fff514b98f17e1a3f8c61066c6cfda238b1e7a465e22674162e8d4d" 2024-06-26T04:58:33.4294486Z }, 2024-06-26T04:58:33.4294742Z { 2024-06-26T04:58:33.4295259Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-06-26T04:58:33.4295792Z "size": 2575497422, 2024-06-26T04:58:33.4296358Z "digest": 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"sha256:663a07bccf9ee6c16f5d24ff6c67aad73dfa2f3f323920dd71a040f37206b7b2" 2024-06-26T04:58:33.4458288Z }, 2024-06-26T04:58:33.4458515Z { 2024-06-26T04:58:33.4458916Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-06-26T04:58:33.4459464Z "size": 7529637, 2024-06-26T04:58:33.4460084Z "digest": "sha256:93f49959faf7c1f16a62a248838c0e5c451e3915a71c3bf79b4ba91e683a0832" 2024-06-26T04:58:33.4460681Z }, 2024-06-26T04:58:33.4460906Z { 2024-06-26T04:58:33.4461324Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-06-26T04:58:33.4461856Z "size": 106, 2024-06-26T04:58:33.4462373Z "digest": "sha256:68ccd3678459e6e349b42578340ded71567622cad00f8e6d2e85188e894973e6" 2024-06-26T04:58:33.4462979Z }, 2024-06-26T04:58:33.4463191Z { 2024-06-26T04:58:33.4463611Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-06-26T04:58:33.4464158Z "size": 165, 2024-06-26T04:58:33.4464695Z "digest": 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"sha256:11bfa431de03304dd16563d15e2b1a1d5830043b83b941aa750bc9e011bc6f77" 2024-06-26T04:58:33.4472243Z }, 2024-06-26T04:58:33.4472467Z { 2024-06-26T04:58:33.4472870Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-06-26T04:58:33.4473414Z "size": 32, 2024-06-26T04:58:33.4473945Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-06-26T04:58:33.4474558Z }, 2024-06-26T04:58:33.4474779Z { 2024-06-26T04:58:33.4475196Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-06-26T04:58:33.4475723Z "size": 108, 2024-06-26T04:58:33.4476256Z "digest": "sha256:da0a3824ae06a9c7452f3d9b87c231f51f9e4a85cf2aa2480c171475aedfd4f6" 2024-06-26T04:58:33.4476871Z }, 2024-06-26T04:58:33.4477080Z { 2024-06-26T04:58:33.4477497Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-06-26T04:58:33.4478219Z "size": 54145775, 2024-06-26T04:58:33.4478756Z "digest": "sha256:0e6a2430cacac8d9b9660542f73a44278c1422a21ee0cbfc80d5d4462f0735bf" 2024-06-26T04:58:33.4479370Z }, 2024-06-26T04:58:33.4479717Z { 2024-06-26T04:58:33.4480119Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-06-26T04:58:33.4480661Z "size": 32, 2024-06-26T04:58:33.4481190Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-06-26T04:58:33.4481807Z } 2024-06-26T04:58:33.4482019Z ] 2024-06-26T04:58:33.4482240Z } 2024-06-26T04:58:33.4482472Z + exit 0 2024-06-26T04:58:33.4586764Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*/} 2024-06-26T04:58:33.4587243Z tag=${ECR_DOCKER_IMAGE##*/} 2024-06-26T04:58:33.4587770Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2024-06-26T04:58:33.4595615Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T04:58:33.4596101Z env: 2024-06-26T04:58:33.4596356Z GIT_DEFAULT_BRANCH: main 2024-06-26T04:58:33.4597383Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-jammy-py3-clang12-executorch:91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T04:58:33.4598703Z ##[endgroup] 2024-06-26T04:58:33.4622224Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-clang12-executorch-91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T04:58:33.4673815Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2024-06-26T04:58:33.4674365Z with: 2024-06-26T04:58:33.4675304Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-jammy-py3-clang12-executorch:91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T04:58:33.4676511Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-06-26T04:58:33.4677005Z env: 2024-06-26T04:58:33.4677257Z GIT_DEFAULT_BRANCH: main 2024-06-26T04:58:33.4677580Z ##[endgroup] 2024-06-26T04:58:33.4695228Z ##[group]Run set -x 2024-06-26T04:58:33.4695540Z set -x 2024-06-26T04:58:33.4695817Z set +e 2024-06-26T04:58:33.4696083Z  2024-06-26T04:58:33.4696326Z login() { 2024-06-26T04:58:33.4696971Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2024-06-26T04:58:33.4697693Z } 2024-06-26T04:58:33.4697935Z  2024-06-26T04:58:33.4698228Z retry () { 2024-06-26T04:58:33.4698583Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2024-06-26T04:58:33.4699010Z } 2024-06-26T04:58:33.4699261Z  2024-06-26T04:58:33.4699537Z retry login "${DOCKER_REGISTRY}" 2024-06-26T04:58:33.4700042Z  2024-06-26T04:58:33.4700293Z set -e 2024-06-26T04:58:33.4700734Z # ignore output since only exit code is used for conditional 2024-06-26T04:58:33.4701431Z # only pull docker image if it's not available locally 2024-06-26T04:58:33.4702194Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2024-06-26T04:58:33.4702875Z  retry docker pull "${DOCKER_IMAGE}" 2024-06-26T04:58:33.4703283Z fi 2024-06-26T04:58:33.4710120Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T04:58:33.4710615Z env: 2024-06-26T04:58:33.4710862Z GIT_DEFAULT_BRANCH: main 2024-06-26T04:58:33.4711884Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-jammy-py3-clang12-executorch:91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T04:58:33.4713077Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-06-26T04:58:33.4713570Z ##[endgroup] 2024-06-26T04:58:33.4733090Z + set +e 2024-06-26T04:58:33.4733650Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-06-26T04:58:33.4734287Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-06-26T04:58:33.4736052Z + aws ecr get-login-password --region us-east-1 2024-06-26T04:58:33.4737588Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-06-26T04:58:33.8565398Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2024-06-26T04:58:33.8566642Z Configure a credential helper to remove this warning. See 2024-06-26T04:58:33.8567758Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2024-06-26T04:58:33.8568294Z 2024-06-26T04:58:33.8568429Z Login Succeeded 2024-06-26T04:58:33.8575817Z + set -e 2024-06-26T04:58:33.8577058Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-jammy-py3-clang12-executorch:91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T04:58:33.8701657Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-jammy-py3-clang12-executorch:91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T04:58:33.8703568Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-jammy-py3-clang12-executorch:91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T04:58:34.0902382Z 91382da70d5719cd7007b6b80b71d2f48398f6b7: Pulling from pytorch/pytorch-linux-jammy-py3-clang12-executorch 2024-06-26T04:58:34.0927350Z 2ec76a50fe7c: Pulling fs layer 2024-06-26T04:58:34.0927984Z 53dcf3fc784e: Pulling fs layer 2024-06-26T04:58:34.0928561Z 181ee8b2290b: Pulling fs layer 2024-06-26T04:58:34.0928971Z e5fa11ef6656: Pulling fs layer 2024-06-26T04:58:34.0929588Z bc007db19dbf: Pulling fs layer 2024-06-26T04:58:34.0930391Z 244ea295e7fb: Pulling fs layer 2024-06-26T04:58:34.0931284Z 961ca4a5b37a: Pulling fs layer 2024-06-26T04:58:34.0931903Z b8e45ccefd13: Pulling fs layer 2024-06-26T04:58:34.0932655Z 10df00be8fce: Pulling fs layer 2024-06-26T04:58:34.0933127Z 8a378ca41167: Pulling fs layer 2024-06-26T04:58:34.0933466Z 17781119b281: Pulling fs layer 2024-06-26T04:58:34.0933814Z e5fa11ef6656: Waiting 2024-06-26T04:58:34.0934132Z c649f5998fff: Pulling fs layer 2024-06-26T04:58:34.0934467Z bc007db19dbf: Waiting 2024-06-26T04:58:34.0934842Z bc2f3741666d: Pulling fs layer 2024-06-26T04:58:34.0935229Z 4f4fb700ef54: Pulling fs layer 2024-06-26T04:58:34.0935561Z 961ca4a5b37a: Waiting 2024-06-26T04:58:34.0935875Z e775bf742328: Pulling fs layer 2024-06-26T04:58:34.0936221Z 244ea295e7fb: Waiting 2024-06-26T04:58:34.0936522Z b8e45ccefd13: Waiting 2024-06-26T04:58:34.0936821Z 8a378ca41167: Waiting 2024-06-26T04:58:34.0937135Z d37c1bb24ed7: Pulling fs layer 2024-06-26T04:58:34.0937473Z 10df00be8fce: Waiting 2024-06-26T04:58:34.0937785Z 0288a431e481: Pulling fs layer 2024-06-26T04:58:34.0938126Z bc2f3741666d: Waiting 2024-06-26T04:58:34.0938405Z 17781119b281: Waiting 2024-06-26T04:58:34.0938780Z 4f4fb700ef54: Waiting 2024-06-26T04:58:34.0939090Z 85614e94b532: Pulling fs layer 2024-06-26T04:58:34.0939435Z d81bf77d2b14: Pulling fs layer 2024-06-26T04:58:34.0939920Z 8515b180a463: Pulling fs layer 2024-06-26T04:58:34.0940277Z 1faf867e9689: Pulling fs layer 2024-06-26T04:58:34.0940604Z e775bf742328: Waiting 2024-06-26T04:58:34.0940904Z c649f5998fff: Waiting 2024-06-26T04:58:34.0941348Z 0288a431e481: Waiting 2024-06-26T04:58:34.0941635Z d37c1bb24ed7: Waiting 2024-06-26T04:58:34.0941931Z d81bf77d2b14: Waiting 2024-06-26T04:58:34.0942245Z b05b8738b676: Pulling fs layer 2024-06-26T04:58:34.0942575Z 8515b180a463: Waiting 2024-06-26T04:58:34.0943013Z b76dc9b5ad60: Pulling fs layer 2024-06-26T04:58:34.0943520Z 1faf867e9689: Waiting 2024-06-26T04:58:34.0943977Z b05b8738b676: Waiting 2024-06-26T04:58:34.0944283Z b76dc9b5ad60: Waiting 2024-06-26T04:58:34.0944659Z 208076984dba: Pulling fs layer 2024-06-26T04:58:34.0945001Z 813dde637cf5: Pulling fs layer 2024-06-26T04:58:34.0945364Z 1e29d5400a91: Pulling fs layer 2024-06-26T04:58:34.0945723Z dde82f18c5d7: Pulling fs layer 2024-06-26T04:58:34.0946049Z 208076984dba: Waiting 2024-06-26T04:58:34.0946342Z 813dde637cf5: Waiting 2024-06-26T04:58:34.0946651Z d1c79a50637d: Pulling fs layer 2024-06-26T04:58:34.0946994Z 9c487fc27d45: Pulling fs layer 2024-06-26T04:58:34.0947392Z 5be529140b0a: Pulling fs layer 2024-06-26T04:58:34.0947731Z 1e29d5400a91: Waiting 2024-06-26T04:58:34.0948027Z fba02dcd1361: Pulling fs layer 2024-06-26T04:58:34.0948375Z dde82f18c5d7: Waiting 2024-06-26T04:58:34.0948673Z 5be529140b0a: Waiting 2024-06-26T04:58:34.0948970Z d2b0cc312460: Pulling fs layer 2024-06-26T04:58:34.0949479Z 9c487fc27d45: Waiting 2024-06-26T04:58:34.0949788Z 70d1402a911e: Pulling fs layer 2024-06-26T04:58:34.0950129Z 52938ca382d1: Pulling fs layer 2024-06-26T04:58:34.0950573Z d2b0cc312460: Waiting 2024-06-26T04:58:34.0950864Z 70d1402a911e: Waiting 2024-06-26T04:58:34.0951238Z 2c929875c06c: Pulling fs layer 2024-06-26T04:58:34.0951581Z 52938ca382d1: Waiting 2024-06-26T04:58:34.0951871Z 2c929875c06c: Waiting 2024-06-26T04:58:34.0952166Z c87e90385a97: Pulling fs layer 2024-06-26T04:58:34.0952522Z a94a1544f841: Pulling fs layer 2024-06-26T04:58:34.0952859Z a94a1544f841: Waiting 2024-06-26T04:58:34.0953153Z 143a91883ee5: Pulling fs layer 2024-06-26T04:58:34.0953543Z 25b1f081a649: Pulling fs layer 2024-06-26T04:58:34.0953927Z 143a91883ee5: Waiting 2024-06-26T04:58:34.0954309Z d814e03bab44: Pulling fs layer 2024-06-26T04:58:34.0954773Z 25b1f081a649: Waiting 2024-06-26T04:58:34.0955334Z 482764b52ae4: Pulling fs layer 2024-06-26T04:58:34.0955883Z 135c0a82c94d: Pulling fs layer 2024-06-26T04:58:34.0956247Z 482764b52ae4: Waiting 2024-06-26T04:58:34.0956554Z 35f5bf196672: Pulling fs layer 2024-06-26T04:58:34.0956898Z 2d8c70ea270e: Pulling fs layer 2024-06-26T04:58:34.0957376Z 2375d6da5397: Pulling fs layer 2024-06-26T04:58:34.0957734Z 0a5e76d5e41b: Pulling fs layer 2024-06-26T04:58:34.0958266Z de70e49a2239: Pulling fs layer 2024-06-26T04:58:34.0958631Z 5c0d09330756: Pulling fs layer 2024-06-26T04:58:34.0958971Z 135c0a82c94d: Waiting 2024-06-26T04:58:34.0959275Z cd6bcbb42af6: Pulling fs layer 2024-06-26T04:58:34.0959620Z 35f5bf196672: Waiting 2024-06-26T04:58:34.0959918Z 2d8c70ea270e: Waiting 2024-06-26T04:58:34.0960203Z de70e49a2239: Waiting 2024-06-26T04:58:34.0960514Z 28cd9ab67185: Pulling fs layer 2024-06-26T04:58:34.0960851Z 5c0d09330756: Waiting 2024-06-26T04:58:34.0961128Z 2375d6da5397: Waiting 2024-06-26T04:58:34.0961420Z 0a5e76d5e41b: Waiting 2024-06-26T04:58:34.0961715Z cd6bcbb42af6: Waiting 2024-06-26T04:58:34.0962012Z 0578257b9245: Pulling fs layer 2024-06-26T04:58:34.0962347Z 28cd9ab67185: Waiting 2024-06-26T04:58:34.0962666Z f65b3a065edb: Pulling fs layer 2024-06-26T04:58:34.0962989Z 0578257b9245: Waiting 2024-06-26T04:58:34.0963295Z cab23592413b: Pulling fs layer 2024-06-26T04:58:34.0963654Z da58d3029cc1: Pulling fs layer 2024-06-26T04:58:34.0963998Z f26ee3e2b915: Pulling fs layer 2024-06-26T04:58:34.0964358Z 14f3eb8571da: Pulling fs layer 2024-06-26T04:58:34.0964750Z da58d3029cc1: Waiting 2024-06-26T04:58:34.0965067Z f26ee3e2b915: Waiting 2024-06-26T04:58:34.0965382Z 9ee614eb4c4c: Pulling fs layer 2024-06-26T04:58:34.0965727Z 14f3eb8571da: Waiting 2024-06-26T04:58:34.0966090Z 58ba66ea2bf3: Pulling fs layer 2024-06-26T04:58:34.0966678Z 8726153a0911: Pulling fs layer 2024-06-26T04:58:34.0967337Z 98aafe3c5ce0: Pulling fs layer 2024-06-26T04:58:34.0967927Z 9f7390fb1e75: Pulling fs layer 2024-06-26T04:58:34.0968508Z 7152a9a69709: Pulling fs layer 2024-06-26T04:58:34.0969126Z e12d7d6954b7: Pulling fs layer 2024-06-26T04:58:34.0969711Z 9ee614eb4c4c: Waiting 2024-06-26T04:58:34.0970346Z 8726153a0911: Waiting 2024-06-26T04:58:34.0970953Z 58ba66ea2bf3: Waiting 2024-06-26T04:58:34.0971564Z 98aafe3c5ce0: Waiting 2024-06-26T04:58:34.0972135Z aa5e067cb2c9: Pulling fs layer 2024-06-26T04:58:34.0972743Z 663a07bccf9e: Pulling fs layer 2024-06-26T04:58:34.0973305Z 9f7390fb1e75: Waiting 2024-06-26T04:58:34.0973790Z e12d7d6954b7: Waiting 2024-06-26T04:58:34.0974330Z 93f49959faf7: Pulling fs layer 2024-06-26T04:58:34.0974928Z aa5e067cb2c9: Waiting 2024-06-26T04:58:34.0975493Z 68ccd3678459: Pulling fs layer 2024-06-26T04:58:34.0976138Z 287ac2ec71fb: Pulling fs layer 2024-06-26T04:58:34.0976753Z 663a07bccf9e: Waiting 2024-06-26T04:58:34.0977284Z d996b9174ec3: Pulling fs layer 2024-06-26T04:58:34.0977870Z 1eb919eacbcb: Pulling fs layer 2024-06-26T04:58:34.0978446Z 287ac2ec71fb: Waiting 2024-06-26T04:58:34.0978971Z d996b9174ec3: Waiting 2024-06-26T04:58:34.0979517Z 11bfa431de03: Pulling fs layer 2024-06-26T04:58:34.0980216Z 1eb919eacbcb: Waiting 2024-06-26T04:58:34.0980782Z da0a3824ae06: Pulling fs layer 2024-06-26T04:58:34.0981577Z 0e6a2430caca: Pulling fs layer 2024-06-26T04:58:34.0982147Z 11bfa431de03: Waiting 2024-06-26T04:58:34.0982638Z da0a3824ae06: Waiting 2024-06-26T04:58:34.0983128Z 0e6a2430caca: Waiting 2024-06-26T04:58:34.1776346Z 53dcf3fc784e: Download complete 2024-06-26T04:58:34.2691665Z e5fa11ef6656: Verifying Checksum 2024-06-26T04:58:34.2692170Z e5fa11ef6656: Download complete 2024-06-26T04:58:34.7344279Z 2ec76a50fe7c: Verifying Checksum 2024-06-26T04:58:34.7344972Z 2ec76a50fe7c: Download complete 2024-06-26T04:58:34.8658971Z 244ea295e7fb: Download complete 2024-06-26T04:58:34.9358610Z 961ca4a5b37a: Verifying Checksum 2024-06-26T04:58:34.9359060Z 961ca4a5b37a: Download complete 2024-06-26T04:58:35.0186806Z b8e45ccefd13: Verifying Checksum 2024-06-26T04:58:35.0187489Z b8e45ccefd13: Download complete 2024-06-26T04:58:35.1301439Z 10df00be8fce: Download complete 2024-06-26T04:58:35.2053445Z bc007db19dbf: Verifying Checksum 2024-06-26T04:58:35.2054187Z bc007db19dbf: Download complete 2024-06-26T04:58:35.2100863Z 8a378ca41167: Verifying Checksum 2024-06-26T04:58:35.2101542Z 8a378ca41167: Download complete 2024-06-26T04:58:35.2773687Z 17781119b281: Verifying Checksum 2024-06-26T04:58:35.2774623Z 17781119b281: Download complete 2024-06-26T04:58:35.2882945Z c649f5998fff: Verifying Checksum 2024-06-26T04:58:35.2883509Z c649f5998fff: Download complete 2024-06-26T04:58:35.3009602Z 4f4fb700ef54: Verifying Checksum 2024-06-26T04:58:35.3010385Z 4f4fb700ef54: Download complete 2024-06-26T04:58:35.4034288Z e775bf742328: Verifying Checksum 2024-06-26T04:58:35.4034859Z e775bf742328: Download complete 2024-06-26T04:58:35.4866362Z d37c1bb24ed7: Download complete 2024-06-26T04:58:35.5970807Z 0288a431e481: Verifying Checksum 2024-06-26T04:58:35.5971393Z 0288a431e481: Download complete 2024-06-26T04:58:35.6588827Z 2ec76a50fe7c: Pull complete 2024-06-26T04:58:35.7203375Z 53dcf3fc784e: Pull complete 2024-06-26T04:58:35.8437547Z 85614e94b532: Verifying Checksum 2024-06-26T04:58:35.8438444Z 85614e94b532: Download complete 2024-06-26T04:58:35.9298485Z d81bf77d2b14: Verifying Checksum 2024-06-26T04:58:35.9299078Z d81bf77d2b14: Download complete 2024-06-26T04:58:36.0229389Z 8515b180a463: Verifying Checksum 2024-06-26T04:58:36.0229888Z 8515b180a463: Download complete 2024-06-26T04:58:36.1000713Z 1faf867e9689: Verifying Checksum 2024-06-26T04:58:36.1001351Z 1faf867e9689: Download complete 2024-06-26T04:58:36.2060940Z b05b8738b676: Verifying Checksum 2024-06-26T04:58:36.2061502Z b05b8738b676: Download complete 2024-06-26T04:58:36.2889956Z b76dc9b5ad60: Download complete 2024-06-26T04:58:36.3655591Z 208076984dba: Verifying Checksum 2024-06-26T04:58:36.3656093Z 208076984dba: Download complete 2024-06-26T04:58:36.4575967Z 813dde637cf5: Download complete 2024-06-26T04:58:36.5668564Z 1e29d5400a91: Verifying Checksum 2024-06-26T04:58:36.5669154Z 1e29d5400a91: Download complete 2024-06-26T04:58:36.6532169Z dde82f18c5d7: Verifying Checksum 2024-06-26T04:58:36.6532772Z dde82f18c5d7: Download complete 2024-06-26T04:58:36.7471853Z d1c79a50637d: Verifying Checksum 2024-06-26T04:58:36.7472440Z d1c79a50637d: Download complete 2024-06-26T04:58:36.8170610Z 9c487fc27d45: Verifying Checksum 2024-06-26T04:58:36.8171259Z 9c487fc27d45: Download complete 2024-06-26T04:58:36.8842268Z 5be529140b0a: Verifying Checksum 2024-06-26T04:58:36.8842766Z 5be529140b0a: Download complete 2024-06-26T04:58:36.9864540Z fba02dcd1361: Verifying Checksum 2024-06-26T04:58:36.9865068Z fba02dcd1361: Download complete 2024-06-26T04:58:37.2007038Z 70d1402a911e: Verifying Checksum 2024-06-26T04:58:37.2007564Z 70d1402a911e: Download complete 2024-06-26T04:58:37.3003363Z 52938ca382d1: Verifying Checksum 2024-06-26T04:58:37.3004077Z 52938ca382d1: Download complete 2024-06-26T04:58:37.4243068Z 2c929875c06c: Verifying Checksum 2024-06-26T04:58:37.4243817Z 2c929875c06c: Download complete 2024-06-26T04:58:37.5030521Z c87e90385a97: Verifying Checksum 2024-06-26T04:58:37.5031171Z c87e90385a97: Download complete 2024-06-26T04:58:37.5853669Z a94a1544f841: Verifying Checksum 2024-06-26T04:58:37.7125072Z a94a1544f841: Download complete 2024-06-26T04:58:37.7126368Z 143a91883ee5: Verifying Checksum 2024-06-26T04:58:37.7126760Z 143a91883ee5: Download complete 2024-06-26T04:58:37.7885778Z 25b1f081a649: Verifying Checksum 2024-06-26T04:58:37.7886408Z 25b1f081a649: Download complete 2024-06-26T04:58:38.6358957Z d814e03bab44: Verifying Checksum 2024-06-26T04:58:38.6359531Z d814e03bab44: Download complete 2024-06-26T04:58:38.7146658Z 482764b52ae4: Verifying Checksum 2024-06-26T04:58:38.7147118Z 482764b52ae4: Download complete 2024-06-26T04:58:38.8012373Z 135c0a82c94d: Download complete 2024-06-26T04:58:38.8916640Z 35f5bf196672: Verifying Checksum 2024-06-26T04:58:38.8917275Z 35f5bf196672: Download complete 2024-06-26T04:58:38.9836903Z 2d8c70ea270e: Verifying Checksum 2024-06-26T04:58:38.9837629Z 2d8c70ea270e: Download complete 2024-06-26T04:58:39.3913515Z 2375d6da5397: Verifying Checksum 2024-06-26T04:58:39.3913985Z 2375d6da5397: Download complete 2024-06-26T04:58:39.4722558Z 0a5e76d5e41b: Verifying Checksum 2024-06-26T04:58:39.4723189Z 0a5e76d5e41b: Download complete 2024-06-26T04:58:39.5860773Z de70e49a2239: Verifying Checksum 2024-06-26T04:58:39.5861556Z de70e49a2239: Download complete 2024-06-26T04:58:39.6814793Z 5c0d09330756: Verifying Checksum 2024-06-26T04:58:39.6815285Z 5c0d09330756: Download complete 2024-06-26T04:58:39.7614799Z cd6bcbb42af6: Download complete 2024-06-26T04:58:39.8560553Z 28cd9ab67185: Verifying Checksum 2024-06-26T04:58:39.8561176Z 28cd9ab67185: Download complete 2024-06-26T04:58:39.9087467Z 181ee8b2290b: Verifying Checksum 2024-06-26T04:58:39.9087950Z 181ee8b2290b: Download complete 2024-06-26T04:58:39.9274688Z 0578257b9245: Verifying Checksum 2024-06-26T04:58:39.9275349Z 0578257b9245: Download complete 2024-06-26T04:58:39.9845939Z f65b3a065edb: Download complete 2024-06-26T04:58:40.0001039Z cab23592413b: Verifying Checksum 2024-06-26T04:58:40.0734049Z da58d3029cc1: Verifying Checksum 2024-06-26T04:58:40.0734760Z da58d3029cc1: Download complete 2024-06-26T04:58:40.1019222Z f26ee3e2b915: Verifying Checksum 2024-06-26T04:58:40.1019970Z f26ee3e2b915: Download complete 2024-06-26T04:58:40.1749551Z 9ee614eb4c4c: Verifying Checksum 2024-06-26T04:58:40.2621199Z 9ee614eb4c4c: Download complete 2024-06-26T04:58:40.2621919Z 58ba66ea2bf3: Verifying Checksum 2024-06-26T04:58:40.2622471Z 58ba66ea2bf3: Download complete 2024-06-26T04:58:40.3378863Z 8726153a0911: Download complete 2024-06-26T04:58:40.4343116Z 98aafe3c5ce0: Download complete 2024-06-26T04:58:40.5334369Z 9f7390fb1e75: Verifying Checksum 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68ccd3678459: Pull complete 2024-06-26T05:01:18.4516648Z 287ac2ec71fb: Pull complete 2024-06-26T05:01:18.6445577Z d996b9174ec3: Pull complete 2024-06-26T05:01:18.8627859Z 1eb919eacbcb: Pull complete 2024-06-26T05:01:19.0993888Z 11bfa431de03: Pull complete 2024-06-26T05:01:19.5573221Z da0a3824ae06: Pull complete 2024-06-26T05:01:21.3505250Z 0e6a2430caca: Pull complete 2024-06-26T05:01:21.6675380Z Digest: sha256:9e9bdce42e4d567bdad1ed7a97095a4ceb5d7c61d7810cb2ae75b684dcbe2e5e 2024-06-26T05:01:21.6974105Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-jammy-py3-clang12-executorch:91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T05:01:21.7238913Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-jammy-py3-clang12-executorch:91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T05:01:21.7529091Z ##[group]Run echo "IN_ARC_RUNNER=$([ -f /.inarc ] && echo true || echo false)" >> "$GITHUB_OUTPUT" 2024-06-26T05:01:21.7530024Z echo "IN_ARC_RUNNER=$([ -f /.inarc ] && echo true || echo false)" >> "$GITHUB_OUTPUT" 2024-06-26T05:01:21.9442531Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:01:21.9443037Z env: 2024-06-26T05:01:21.9443291Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:21.9443629Z ##[endgroup] 2024-06-26T05:01:21.9558361Z ##[group]Run python3 -m pip install psutil==5.9.1 nvidia-ml-py==11.525.84 2024-06-26T05:01:21.9559148Z python3 -m pip install psutil==5.9.1 nvidia-ml-py==11.525.84 2024-06-26T05:01:21.9559839Z python3 -m tools.stats.monitor > usage_log.txt 2>&1 & 2024-06-26T05:01:21.9560494Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2024-06-26T05:01:21.9568704Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:01:21.9569195Z env: 2024-06-26T05:01:21.9569458Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:21.9569777Z ##[endgroup] 2024-06-26T05:01:24.4179408Z Defaulting to user installation because normal site-packages is not writeable 2024-06-26T05:01:24.5536476Z Requirement already satisfied: psutil==5.9.1 in /home/ec2-user/.local/lib/python3.7/site-packages (5.9.1) 2024-06-26T05:01:24.5545457Z Requirement already satisfied: nvidia-ml-py==11.525.84 in /home/ec2-user/.local/lib/python3.7/site-packages (11.525.84) 2024-06-26T05:01:24.7271444Z Prepare all required actions 2024-06-26T05:01:24.7272285Z Getting action download info 2024-06-26T05:01:24.8364563Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2024-06-26T05:01:24.9923975Z Download action repository 'actions/download-artifact@v3' (SHA:9bc31d5ccc31df68ecc42ccf4149144866c47d8a) 2024-06-26T05:01:25.1059513Z ##[group]Run ./.github/actions/download-build-artifacts 2024-06-26T05:01:25.1060070Z with: 2024-06-26T05:01:25.1060384Z name: linux-jammy-py3-clang12-executorch 2024-06-26T05:01:25.1060813Z s3-bucket: gha-artifacts 2024-06-26T05:01:25.1061136Z env: 2024-06-26T05:01:25.1061395Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:25.1061841Z ##[endgroup] 2024-06-26T05:01:25.1112718Z ##[group]Run seemethere/download-artifact-s3@v4 2024-06-26T05:01:25.1113144Z with: 2024-06-26T05:01:25.1113451Z name: linux-jammy-py3-clang12-executorch 2024-06-26T05:01:25.1113892Z s3-bucket: gha-artifacts 2024-06-26T05:01:25.1114263Z region: us-east-1 2024-06-26T05:01:25.1114529Z env: 2024-06-26T05:01:25.1114782Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:25.1115087Z ##[endgroup] 2024-06-26T05:01:25.5937883Z (node:22401) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2024-06-26T05:01:25.5938639Z 2024-06-26T05:01:25.5938970Z Please migrate your code to use AWS SDK for JavaScript (v3). 2024-06-26T05:01:25.5940100Z For more information, check the migration guide at https://a.co/7PzMCcy 2024-06-26T05:01:25.5941555Z (Use `node --trace-warnings ...` to show where the warning was created) 2024-06-26T05:01:25.6884869Z Found 1 objects with prefix pytorch/pytorch/9673645538/linux-jammy-py3-clang12-executorch/ 2024-06-26T05:01:25.6885968Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2024-06-26T05:01:35.3414076Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2024-06-26T05:01:35.3420637Z Artifact download has finished successfully 2024-06-26T05:01:35.3605725Z ##[group]Run unzip -o artifacts.zip 2024-06-26T05:01:35.3606135Z unzip -o artifacts.zip 2024-06-26T05:01:35.3613724Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:01:35.3614212Z env: 2024-06-26T05:01:35.3614463Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:35.3614794Z ##[endgroup] 2024-06-26T05:01:35.3683268Z Archive: artifacts.zip 2024-06-26T05:01:35.3684442Z creating: dist/ 2024-06-26T05:01:36.2935811Z inflating: dist/torch-2.5.0a0+gitb8c4c54-cp310-cp310-linux_x86_64.whl 2024-06-26T05:01:36.3064293Z inflating: dist/.ninja_log 2024-06-26T05:01:36.3064753Z 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build/bin/cpu_allocator_test 2024-06-26T05:01:41.0453303Z inflating: build/bin/cpu_generator_test 2024-06-26T05:01:41.0502088Z inflating: build/bin/cpu_profiling_allocator_test 2024-06-26T05:01:41.0588729Z inflating: build/bin/cpu_rng_test 2024-06-26T05:01:41.0634405Z inflating: build/bin/dispatch_key_set_test 2024-06-26T05:01:41.0680439Z inflating: build/bin/dlconvertor_test 2024-06-26T05:01:41.0734613Z inflating: build/bin/extension_backend_test 2024-06-26T05:01:41.0782842Z inflating: build/bin/half_test 2024-06-26T05:01:41.0873303Z inflating: build/bin/ivalue_test 2024-06-26T05:01:41.0918545Z inflating: build/bin/lazy_tensor_test 2024-06-26T05:01:41.0966906Z inflating: build/bin/math_kernel_test 2024-06-26T05:01:41.1015382Z inflating: build/bin/memory_format_test 2024-06-26T05:01:41.1063510Z inflating: build/bin/memory_overlapping_test 2024-06-26T05:01:41.1112278Z inflating: build/bin/mobile_memory_cleanup 2024-06-26T05:01:41.1164686Z inflating: build/bin/native_test 2024-06-26T05:01:41.1210526Z inflating: build/bin/operator_name_test 2024-06-26T05:01:41.1257129Z inflating: build/bin/operators_test 2024-06-26T05:01:41.1304359Z inflating: build/bin/packedtensoraccessor_test 2024-06-26T05:01:41.1371324Z inflating: build/bin/pow_test 2024-06-26T05:01:41.1423793Z inflating: build/bin/quantized_test 2024-06-26T05:01:41.1469538Z inflating: build/bin/reduce_ops_test 2024-06-26T05:01:41.1515922Z inflating: build/bin/reportMemoryUsage_test 2024-06-26T05:01:41.1568170Z inflating: build/bin/scalar_tensor_test 2024-06-26T05:01:41.1620984Z inflating: build/bin/scalar_test 2024-06-26T05:01:41.1667372Z inflating: build/bin/StorageUtils_test 2024-06-26T05:01:41.1715030Z inflating: build/bin/stride_properties_test 2024-06-26T05:01:41.1790277Z inflating: build/bin/tensor_iterator_test 2024-06-26T05:01:41.1838221Z inflating: build/bin/type_ptr_test 2024-06-26T05:01:41.1893879Z inflating: build/bin/type_test 2024-06-26T05:01:41.1941496Z inflating: build/bin/undefined_tensor_test 2024-06-26T05:01:41.1942765Z inflating: build/bin/verify_api_visibility 2024-06-26T05:01:41.2009655Z inflating: build/bin/legacy_vmap_test 2024-06-26T05:01:41.2056400Z inflating: build/bin/weakref_test 2024-06-26T05:01:41.2103392Z inflating: build/bin/wrapdim_test 2024-06-26T05:01:41.2150526Z inflating: build/bin/xla_tensor_test 2024-06-26T05:01:41.2206123Z inflating: build/bin/IListRef_test 2024-06-26T05:01:41.2297346Z inflating: build/bin/List_test 2024-06-26T05:01:41.2356122Z inflating: build/bin/KernelFunction_test 2024-06-26T05:01:41.2478037Z inflating: build/bin/kernel_function_legacy_test 2024-06-26T05:01:41.2569046Z inflating: build/bin/kernel_function_test 2024-06-26T05:01:41.2693642Z inflating: build/bin/kernel_lambda_legacy_test 2024-06-26T05:01:41.2791703Z inflating: build/bin/kernel_lambda_test 2024-06-26T05:01:41.2847541Z inflating: build/bin/kernel_stackbased_test 2024-06-26T05:01:41.2939628Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2024-06-26T05:01:41.2985508Z inflating: build/bin/CppSignature_test 2024-06-26T05:01:41.3035655Z inflating: build/bin/backend_fallback_test 2024-06-26T05:01:41.3080404Z inflating: build/bin/op_allowlist_test 2024-06-26T05:01:41.3382581Z inflating: build/bin/op_registration_test 2024-06-26T05:01:41.3438955Z inflating: build/bin/inline_container_test 2024-06-26T05:01:41.4493468Z inflating: build/bin/test_tensorexpr 2024-06-26T05:01:41.4510864Z inflating: build/bin/tutorial_tensorexpr 2024-06-26T05:01:41.4513391Z inflating: build/bin/example_allreduce 2024-06-26T05:01:41.4563722Z inflating: build/bin/test_dist_autograd 2024-06-26T05:01:41.5126742Z inflating: build/bin/test_jit 2024-06-26T05:01:41.5189599Z inflating: build/bin/test_cpp_rpc 2024-06-26T05:01:41.5191761Z inflating: build/bin/parallel_benchmark 2024-06-26T05:01:41.6467899Z inflating: build/bin/test_api 2024-06-26T05:01:41.6529951Z inflating: build/bin/test_mobile_nnc 2024-06-26T05:01:41.6538880Z inflating: build/bin/aot_model_compiler_test 2024-06-26T05:01:41.6852722Z inflating: build/bin/test_lazy 2024-06-26T05:01:41.6856797Z inflating: build/bin/torch_shm_manager 2024-06-26T05:01:41.6857271Z creating: .additional_ci_files/ 2024-06-26T05:01:41.6911057Z inflating: .additional_ci_files/test-times.json 2024-06-26T05:01:41.7126072Z inflating: .additional_ci_files/test-class-times.json 2024-06-26T05:01:41.7168660Z ##[group]Run rm artifacts.zip 2024-06-26T05:01:41.7169304Z rm artifacts.zip 2024-06-26T05:01:41.7179660Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:01:41.7180631Z env: 2024-06-26T05:01:41.7181059Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:41.7181634Z ##[endgroup] 2024-06-26T05:01:41.7650557Z ##[group]Run df -H 2024-06-26T05:01:41.7650844Z df -H 2024-06-26T05:01:41.7658208Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:01:41.7658710Z env: 2024-06-26T05:01:41.7658953Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:41.7659275Z ##[endgroup] 2024-06-26T05:01:41.7716610Z Filesystem Size Used Avail Use% Mounted on 2024-06-26T05:01:41.7717585Z devtmpfs 8.2G 0 8.2G 0% /dev 2024-06-26T05:01:41.7718306Z tmpfs 8.2G 6.7M 8.2G 1% /dev/shm 2024-06-26T05:01:41.7718815Z tmpfs 8.2G 410k 8.2G 1% /run 2024-06-26T05:01:41.7719310Z tmpfs 8.2G 0 8.2G 0% /sys/fs/cgroup 2024-06-26T05:01:41.7719811Z /dev/nvme0n1p1 162G 30G 132G 19% / 2024-06-26T05:01:41.7773516Z Prepare all required actions 2024-06-26T05:01:41.7773940Z Getting action download info 2024-06-26T05:01:41.9362385Z ##[group]Run ./.github/actions/download-td-artifacts 2024-06-26T05:01:41.9362849Z with: 2024-06-26T05:01:41.9363073Z env: 2024-06-26T05:01:41.9363331Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:41.9363655Z ##[endgroup] 2024-06-26T05:01:41.9397615Z ##[group]Run seemethere/download-artifact-s3@v4 2024-06-26T05:01:41.9398375Z with: 2024-06-26T05:01:41.9398613Z name: td_results 2024-06-26T05:01:41.9398915Z s3-bucket: gha-artifacts 2024-06-26T05:01:41.9399251Z region: us-east-1 2024-06-26T05:01:41.9399514Z env: 2024-06-26T05:01:41.9399767Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:41.9400093Z ##[endgroup] 2024-06-26T05:01:42.4079337Z (node:22420) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2024-06-26T05:01:42.4080209Z 2024-06-26T05:01:42.4080529Z Please migrate your code to use AWS SDK for JavaScript (v3). 2024-06-26T05:01:42.4081491Z For more information, check the migration guide at https://a.co/7PzMCcy 2024-06-26T05:01:42.4082954Z (Use `node --trace-warnings ...` to show where the warning was created) 2024-06-26T05:01:42.4836216Z Found 1 objects with prefix pytorch/pytorch/9673645538/td_results/ 2024-06-26T05:01:42.4837268Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2024-06-26T05:01:42.5335262Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2024-06-26T05:01:42.5340951Z Artifact download has finished successfully 2024-06-26T05:01:42.5487015Z ##[group]Run mkdir -p .additional_ci_files 2024-06-26T05:01:42.5487468Z mkdir -p .additional_ci_files 2024-06-26T05:01:42.5488011Z mv td_results.json .additional_ci_files/td_results.json 2024-06-26T05:01:42.5495835Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:01:42.5496308Z env: 2024-06-26T05:01:42.5496585Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:42.5496904Z ##[endgroup] 2024-06-26T05:01:42.5600387Z ##[group]Run .github/scripts/parse_ref.py 2024-06-26T05:01:42.5600851Z .github/scripts/parse_ref.py 2024-06-26T05:01:42.5607984Z shell: /usr/bin/bash -e {0} 2024-06-26T05:01:42.5608315Z env: 2024-06-26T05:01:42.5608572Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:42.5608886Z ##[endgroup] 2024-06-26T05:01:42.5884106Z Prepare all required actions 2024-06-26T05:01:42.5925376Z ##[group]Run ./.github/actions/get-workflow-job-id 2024-06-26T05:01:42.5925821Z with: 2024-06-26T05:01:42.5926379Z github-token: *** 2024-06-26T05:01:42.5926650Z env: 2024-06-26T05:01:42.5927130Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:42.5927455Z ##[endgroup] 2024-06-26T05:01:42.5944721Z ##[group]Run set -eux 2024-06-26T05:01:42.5945037Z set -eux 2024-06-26T05:01:42.5945780Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2024-06-26T05:01:42.5953287Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:01:42.5953752Z env: 2024-06-26T05:01:42.5954008Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:42.5954503Z GITHUB_TOKEN: *** 2024-06-26T05:01:42.5954778Z ##[endgroup] 2024-06-26T05:01:42.5975525Z + python3 .github/scripts/get_workflow_job_id.py 9673645538 i-007b198452d40c079 2024-06-26T05:01:44.9377049Z setting job-id=26688288400 2024-06-26T05:01:44.9377968Z setting job-name=linux-jammy-py3-clang12-executorch / test (executorch, 1, 1, linux.2xlarge) 2024-06-26T05:01:44.9619870Z Prepare all required actions 2024-06-26T05:01:44.9620300Z Getting action download info 2024-06-26T05:01:45.0748684Z ##[group]Run ./.github/actions/filter-test-configs 2024-06-26T05:01:45.0749141Z with: 2024-06-26T05:01:45.0749596Z github-token: *** 2024-06-26T05:01:45.0750206Z test-matrix: {"include": [{"config": "executorch", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]} 2024-06-26T05:01:45.0751437Z job-name: linux-jammy-py3-clang12-executorch / test (executorch, 1, 1, linux.2xlarge) 2024-06-26T05:01:45.0752110Z env: 2024-06-26T05:01:45.0752352Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:45.0752680Z ##[endgroup] 2024-06-26T05:01:45.0796666Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2024-06-26T05:01:45.0797214Z with: 2024-06-26T05:01:45.0797463Z shell: bash 2024-06-26T05:01:45.0797747Z timeout_minutes: 10 2024-06-26T05:01:45.0798183Z max_attempts: 5 2024-06-26T05:01:45.0798640Z retry_wait_seconds: 30 2024-06-26T05:01:45.0799822Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.1 2024-06-26T05:01:45.0801026Z polling_interval_seconds: 1 2024-06-26T05:01:45.0801381Z warning_on_retry: true 2024-06-26T05:01:45.0801712Z continue_on_error: false 2024-06-26T05:01:45.0802013Z env: 2024-06-26T05:01:45.0802261Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:45.0802779Z GITHUB_TOKEN: *** 2024-06-26T05:01:45.0803058Z ##[endgroup] 2024-06-26T05:01:45.1352444Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.1 2024-06-26T05:01:45.4334446Z Defaulting to user installation because normal site-packages is not writeable 2024-06-26T05:01:45.4630859Z Requirement already satisfied: requests==2.27.1 in /home/ec2-user/.local/lib/python3.7/site-packages (2.27.1) 2024-06-26T05:01:45.4639615Z Requirement already satisfied: pyyaml==6.0.1 in /home/ec2-user/.local/lib/python3.7/site-packages (6.0.1) 2024-06-26T05:01:45.4793557Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.27.1) (1.26.19) 2024-06-26T05:01:45.4801610Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.27.1) (2024.6.2) 2024-06-26T05:01:45.4818564Z Requirement already satisfied: charset-normalizer~=2.0.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.27.1) (2.0.12) 2024-06-26T05:01:45.4833463Z Requirement already satisfied: idna<4,>=2.5 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.27.1) (3.7) 2024-06-26T05:01:46.1346241Z Command completed after 1 attempt(s). 2024-06-26T05:01:46.1390196Z ##[group]Run set -x 2024-06-26T05:01:46.1390512Z set -x 2024-06-26T05:01:46.1390774Z  2024-06-26T05:01:46.1391409Z # Use relative path here as this could be checked out anywhere, not necessarily 2024-06-26T05:01:46.1392120Z # in runner workspace 2024-06-26T05:01:46.1392618Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2024-06-26T05:01:46.1400498Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:01:46.1400987Z env: 2024-06-26T05:01:46.1401237Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:46.1401566Z ##[endgroup] 2024-06-26T05:01:46.1422915Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2024-06-26T05:01:46.1632277Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2024-06-26T05:01:46.1632794Z echo "Workflow: ${GITHUB_WORKFLOW}" 2024-06-26T05:01:46.1633245Z echo "Job name: ${JOB_NAME}" 2024-06-26T05:01:46.1633628Z  2024-06-26T05:01:46.1634142Z # Use relative path here as this could be checked out anywhere, not necessarily 2024-06-26T05:01:46.1634820Z # in runner workspace 2024-06-26T05:01:46.1635527Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2024-06-26T05:01:46.1636166Z  --workflow "${GITHUB_WORKFLOW}" \ 2024-06-26T05:01:46.1636598Z  --job-name "${JOB_NAME}" \ 2024-06-26T05:01:46.1637366Z  --test-matrix "{"include": [{"config": "executorch", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]}" \ 2024-06-26T05:01:46.1638340Z  --selected-test-configs "" \ 2024-06-26T05:01:46.1638767Z  --pr-number "${PR_NUMBER}" \ 2024-06-26T05:01:46.1639174Z  --tag "${TAG}" \ 2024-06-26T05:01:46.1639547Z  --event-name "${EVENT_NAME}" \ 2024-06-26T05:01:46.1639967Z  --schedule "${SCHEDULE}" \ 2024-06-26T05:01:46.1640379Z  --branch "${HEAD_BRANCH}" 2024-06-26T05:01:46.1647688Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:01:46.1648158Z env: 2024-06-26T05:01:46.1648420Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:46.1649079Z GITHUB_TOKEN: *** 2024-06-26T05:01:46.1649675Z JOB_NAME: linux-jammy-py3-clang12-executorch / test (executorch, 1, 1, linux.2xlarge) 2024-06-26T05:01:46.1650344Z PR_NUMBER: 129470 2024-06-26T05:01:46.1650636Z TAG: 2024-06-26T05:01:46.1650894Z EVENT_NAME: pull_request 2024-06-26T05:01:46.1651207Z SCHEDULE: 2024-06-26T05:01:46.1651476Z HEAD_BRANCH: 2024-06-26T05:01:46.1651747Z ##[endgroup] 2024-06-26T05:01:46.1671966Z Workflow: pull 2024-06-26T05:01:46.1672715Z Job name: linux-jammy-py3-clang12-executorch / test (executorch, 1, 1, linux.2xlarge) 2024-06-26T05:01:46.3865778Z INFO:root:Found no test-config label on the PR, so all test configs are included 2024-06-26T05:01:47.1027937Z ##[group]Run echo "Filtered matrix:" 2024-06-26T05:01:47.1028367Z echo "Filtered matrix:" 2024-06-26T05:01:47.1029073Z echo "{"include": [{"config": "executorch", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]}" 2024-06-26T05:01:47.1029772Z  2024-06-26T05:01:47.1030010Z echo 2024-06-26T05:01:47.1030387Z echo "Is the current job unstable? False" 2024-06-26T05:01:47.1030834Z  2024-06-26T05:01:47.1031069Z echo 2024-06-26T05:01:47.1031402Z echo "Is keep-going label set? False" 2024-06-26T05:01:47.1031824Z  2024-06-26T05:01:47.1032060Z echo 2024-06-26T05:01:47.1032350Z echo "Renabled issues? " 2024-06-26T05:01:47.1040124Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:01:47.1040600Z env: 2024-06-26T05:01:47.1040859Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:47.1041184Z ##[endgroup] 2024-06-26T05:01:47.1061575Z Filtered matrix: 2024-06-26T05:01:47.1062412Z {include: [{config: executorch, shard: 1, num_shards: 1, runner: linux.2xlarge}]} 2024-06-26T05:01:47.1063164Z 2024-06-26T05:01:47.1063326Z Is the current job unstable? False 2024-06-26T05:01:47.1063618Z 2024-06-26T05:01:47.1063873Z Is keep-going label set? False 2024-06-26T05:01:47.1064117Z 2024-06-26T05:01:47.1064258Z Renabled issues? 2024-06-26T05:01:47.1106983Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2024-06-26T05:01:47.1107673Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2024-06-26T05:01:47.1114896Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:01:47.1115384Z env: 2024-06-26T05:01:47.1115630Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:47.1115966Z JOB_TIMEOUT: 240 2024-06-26T05:01:47.1116255Z ##[endgroup] 2024-06-26T05:01:47.1188459Z ##[group]Run set -x 2024-06-26T05:01:47.1188836Z set -x 2024-06-26T05:01:47.1189112Z  2024-06-26T05:01:47.1189431Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2024-06-26T05:01:47.1189964Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2024-06-26T05:01:47.1190514Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2024-06-26T05:01:47.1191010Z  TEST_COMMAND=.ci/onnx/test.sh 2024-06-26T05:01:47.1191603Z else 2024-06-26T05:01:47.1191938Z  TEST_COMMAND=.ci/pytorch/test.sh 2024-06-26T05:01:47.1192342Z fi 2024-06-26T05:01:47.1192582Z  2024-06-26T05:01:47.1193036Z # detached container should get cleaned up by teardown_ec2_linux 2024-06-26T05:01:47.1193793Z # TODO: Stop building test binaries as part of the build phase 2024-06-26T05:01:47.1194449Z # Used for GPU_FLAG since that doesn't play nice 2024-06-26T05:01:47.1195032Z # shellcheck disable=SC2086,SC2090 2024-06-26T05:01:47.1195472Z container_name=$(docker run \ 2024-06-26T05:01:47.1195870Z  ${GPU_FLAG:-} \ 2024-06-26T05:01:47.1196220Z  -e BUILD_ENVIRONMENT \ 2024-06-26T05:01:47.1196586Z  -e PR_NUMBER \ 2024-06-26T05:01:47.1196927Z  -e GITHUB_ACTIONS \ 2024-06-26T05:01:47.1197298Z  -e GITHUB_REPOSITORY \ 2024-06-26T05:01:47.1197673Z  -e GITHUB_WORKFLOW \ 2024-06-26T05:01:47.1198143Z  -e GITHUB_JOB \ 2024-06-26T05:01:47.1198624Z  -e GITHUB_RUN_ID \ 2024-06-26T05:01:47.1198989Z  -e GITHUB_RUN_NUMBER \ 2024-06-26T05:01:47.1199360Z  -e GITHUB_RUN_ATTEMPT \ 2024-06-26T05:01:47.1199738Z  -e JOB_ID \ 2024-06-26T05:01:47.1200054Z  -e JOB_NAME \ 2024-06-26T05:01:47.1200366Z  -e BASE_SHA \ 2024-06-26T05:01:47.1200686Z  -e BRANCH \ 2024-06-26T05:01:47.1200994Z  -e SHA1 \ 2024-06-26T05:01:47.1201302Z  -e AWS_DEFAULT_REGION \ 2024-06-26T05:01:47.1201685Z  -e IN_WHEEL_TEST \ 2024-06-26T05:01:47.1202037Z  -e SHARD_NUMBER \ 2024-06-26T05:01:47.1220086Z  -e TEST_CONFIG \ 2024-06-26T05:01:47.1220478Z  -e NUM_TEST_SHARDS \ 2024-06-26T05:01:47.1220854Z  -e REENABLED_ISSUES \ 2024-06-26T05:01:47.1221231Z  -e CONTINUE_THROUGH_ERROR \ 2024-06-26T05:01:47.1221634Z  -e VERBOSE_TEST_LOGS \ 2024-06-26T05:01:47.1222000Z  -e NO_TEST_TIMEOUT \ 2024-06-26T05:01:47.1222347Z  -e NO_TD \ 2024-06-26T05:01:47.1222656Z  -e TD_DISTRIBUTED \ 2024-06-26T05:01:47.1223000Z  -e PR_LABELS \ 2024-06-26T05:01:47.1223368Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2024-06-26T05:01:47.1223790Z  -e SCCACHE_BUCKET \ 2024-06-26T05:01:47.1224146Z  -e SCCACHE_S3_KEY_PREFIX \ 2024-06-26T05:01:47.1224518Z  -e XLA_CUDA \ 2024-06-26T05:01:47.1224899Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2024-06-26T05:01:47.1225386Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2024-06-26T05:01:47.1225869Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2024-06-26T05:01:47.1226368Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2024-06-26T05:01:47.1226819Z  -e HUGGING_FACE_HUB_TOKEN \ 2024-06-26T05:01:47.1227221Z  -e DASHBOARD_TAG \ 2024-06-26T05:01:47.1227659Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2024-06-26T05:01:47.1228198Z  --security-opt seccomp=unconfined \ 2024-06-26T05:01:47.1228650Z  --cap-add=SYS_PTRACE \ 2024-06-26T05:01:47.1229008Z  --ipc=host \ 2024-06-26T05:01:47.1229344Z  --shm-size="${SHM_SIZE}" \ 2024-06-26T05:01:47.1229716Z  --tty \ 2024-06-26T05:01:47.1229992Z  --detach \ 2024-06-26T05:01:47.1230325Z  --name="${container_name}" \ 2024-06-26T05:01:47.1230719Z  --user jenkins \ 2024-06-26T05:01:47.1231330Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2024-06-26T05:01:47.1231885Z  -w /var/lib/jenkins/workspace \ 2024-06-26T05:01:47.1232305Z  "${DOCKER_IMAGE}" 2024-06-26T05:01:47.1232622Z ) 2024-06-26T05:01:47.1233010Z # Propagate download.pytorch.org IP to container 2024-06-26T05:01:47.1233939Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2024-06-26T05:01:47.1234907Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2024-06-26T05:01:47.1235837Z docker exec -t "${container_name}" sh -c "pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2024-06-26T05:01:47.1243233Z shell: /usr/bin/bash -e {0} 2024-06-26T05:01:47.1243564Z env: 2024-06-26T05:01:47.1243803Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:01:47.1244243Z BUILD_ENVIRONMENT: linux-jammy-py3-clang12-executorch 2024-06-26T05:01:47.1244726Z PR_NUMBER: 129470 2024-06-26T05:01:47.1245038Z GITHUB_REPOSITORY: pytorch/pytorch 2024-06-26T05:01:47.1245432Z GITHUB_WORKFLOW: pull 2024-06-26T05:01:47.1245744Z GITHUB_JOB: test 2024-06-26T05:01:47.1246023Z GITHUB_RUN_ID: 9673645538 2024-06-26T05:01:47.1246357Z GITHUB_RUN_NUMBER: 219936 2024-06-26T05:01:47.1246690Z GITHUB_RUN_ATTEMPT: 1 2024-06-26T05:01:47.1246983Z JOB_ID: 26688288400 2024-06-26T05:01:47.1247568Z JOB_NAME: linux-jammy-py3-clang12-executorch / test (executorch, 1, 1, linux.2xlarge) 2024-06-26T05:01:47.1248241Z BRANCH: pull/129470 2024-06-26T05:01:47.1248697Z SHA1: b8c4c54d347aa776934c60784e35936878ef18dc 2024-06-26T05:01:47.1249198Z BASE_SHA: 4b9c9a9cc9c9283380a011310ba180c105c3dcb9 2024-06-26T05:01:47.1249655Z TEST_CONFIG: executorch 2024-06-26T05:01:47.1249963Z SHARD_NUMBER: 1 2024-06-26T05:01:47.1250252Z NUM_TEST_SHARDS: 1 2024-06-26T05:01:47.1250551Z REENABLED_ISSUES: 2024-06-26T05:01:47.1250854Z CONTINUE_THROUGH_ERROR: False 2024-06-26T05:01:47.1251223Z VERBOSE_TEST_LOGS: False 2024-06-26T05:01:47.1251566Z NO_TEST_TIMEOUT: False 2024-06-26T05:01:47.1251865Z NO_TD: False 2024-06-26T05:01:47.1252144Z TD_DISTRIBUTED: False 2024-06-26T05:01:47.1252537Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2024-06-26T05:01:47.1252998Z SCCACHE_S3_KEY_PREFIX: pull 2024-06-26T05:01:47.1253336Z SHM_SIZE: 1g 2024-06-26T05:01:47.1254289Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-jammy-py3-clang12-executorch:91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T05:01:47.1255333Z XLA_CUDA: 2024-06-26T05:01:47.1255802Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2024-06-26T05:01:47.1256408Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2024-06-26T05:01:47.1256821Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2024-06-26T05:01:47.1257196Z DASHBOARD_TAG: 2024-06-26T05:01:47.1257492Z HUGGING_FACE_HUB_TOKEN: 2024-06-26T05:01:47.1257813Z ##[endgroup] 2024-06-26T05:01:47.1278079Z + [[ executorch == \m\u\l\t\i\g\p\u ]] 2024-06-26T05:01:47.1279051Z + [[ linux-jammy-py3-clang12-executorch == *onnx* ]] 2024-06-26T05:01:47.1279555Z + TEST_COMMAND=.ci/pytorch/test.sh 2024-06-26T05:01:47.1286762Z +++ nproc --ignore=2 2024-06-26T05:01:47.1312866Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=6 -e SCCACHE_BUCKET -e SCCACHE_S3_KEY_PREFIX -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e DASHBOARD_TAG --env-file=/tmp/github_env_9673645538 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-jammy-py3-clang12-executorch:91382da70d5719cd7007b6b80b71d2f48398f6b7 2024-06-26T05:01:54.2024024Z + container_name=5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b 2024-06-26T05:01:54.2025268Z + grep download.pytorch.org /etc/hosts 2024-06-26T05:01:54.2028038Z + docker exec -i 5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b sudo bash -c '/bin/cat >> /etc/hosts' 2024-06-26T05:01:54.3533481Z + echo DOCKER_CONTAINER_ID=5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b 2024-06-26T05:01:54.3538111Z ++ echo dist/torch-2.5.0a0+gitb8c4c54-cp310-cp310-linux_x86_64.whl 2024-06-26T05:01:54.3540912Z + docker exec -t 5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b sh -c 'pip install dist/torch-2.5.0a0+gitb8c4c54-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2024-06-26T05:01:55.2050757Z Processing ./dist/torch-2.5.0a0+gitb8c4c54-cp310-cp310-linux_x86_64.whl (from torch==2.5.0a0+gitb8c4c54) 2024-06-26T05:01:55.6302960Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.5.0a0+gitb8c4c54->torch==2.5.0a0+gitb8c4c54) (3.13.1) 2024-06-26T05:01:55.6308745Z Requirement already satisfied: typing-extensions>=4.8.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.5.0a0+gitb8c4c54->torch==2.5.0a0+gitb8c4c54) (4.12.2) 2024-06-26T05:01:55.6311892Z Requirement already satisfied: sympy in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.5.0a0+gitb8c4c54->torch==2.5.0a0+gitb8c4c54) (1.12) 2024-06-26T05:01:55.6315250Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.5.0a0+gitb8c4c54->torch==2.5.0a0+gitb8c4c54) (2.8.8) 2024-06-26T05:01:55.6318745Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.5.0a0+gitb8c4c54->torch==2.5.0a0+gitb8c4c54) (3.1.4) 2024-06-26T05:01:55.6321991Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.5.0a0+gitb8c4c54->torch==2.5.0a0+gitb8c4c54) (2024.2.0) 2024-06-26T05:01:55.6349506Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.5.0a0+gitb8c4c54->torch==2.5.0a0+gitb8c4c54) (3.3.0) 2024-06-26T05:01:55.6412689Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.5.0a0+gitb8c4c54->torch==2.5.0a0+gitb8c4c54) (1.25.2) 2024-06-26T05:01:55.6833929Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.5.0a0+gitb8c4c54->torch==2.5.0a0+gitb8c4c54) (2.1.5) 2024-06-26T05:01:55.6996187Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy->torch==2.5.0a0+gitb8c4c54->torch==2.5.0a0+gitb8c4c54) (1.3.0) 2024-06-26T05:01:57.1856583Z Installing collected packages: torch 2024-06-26T05:01:57.1857089Z Attempting uninstall: torch 2024-06-26T05:01:57.1870346Z Found existing installation: torch 2.3.1+cpu 2024-06-26T05:01:57.4923529Z Uninstalling torch-2.3.1+cpu: 2024-06-26T05:01:59.1269607Z Successfully uninstalled torch-2.3.1+cpu 2024-06-26T05:02:06.9065990Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2024-06-26T05:02:06.9067545Z torchaudio 2.3.1+cpu requires torch==2.3.1, but you have torch 2.5.0a0+gitb8c4c54 which is incompatible. 2024-06-26T05:02:06.9068807Z torchvision 0.18.1+cpu requires torch==2.3.1, but you have torch 2.5.0a0+gitb8c4c54 which is incompatible. 2024-06-26T05:02:06.9069726Z Successfully installed torch-2.5.0a0+gitb8c4c54 2024-06-26T05:02:07.0337030Z ++ dirname .ci/pytorch/test.sh 2024-06-26T05:02:07.0361605Z + source .ci/pytorch/common.sh 2024-06-26T05:02:07.0378265Z +++ dirname .ci/pytorch/common.sh 2024-06-26T05:02:07.0383967Z ++ source .ci/pytorch/common_utils.sh 2024-06-26T05:02:07.0390845Z +++ declare -f -t trap_add 2024-06-26T05:02:07.0394242Z ++ set -ex 2024-06-26T05:02:07.0395018Z ++ [[ linux-jammy-py3-clang12-executorch == *rocm* ]] 2024-06-26T05:02:07.0395570Z ++ BUILD_TEST_LIBTORCH=0 2024-06-26T05:02:07.0396039Z + [[ linux-jammy-py3-clang12-executorch != *rocm* ]] 2024-06-26T05:02:07.0398684Z ++ stat -c %u /var/lib/jenkins/workspace 2024-06-26T05:02:07.0430043Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2024-06-26T05:02:07.0430802Z + trap_add cleanup_workspace EXIT 2024-06-26T05:02:07.0431345Z + trap_add_cmd=cleanup_workspace 2024-06-26T05:02:07.0431697Z + shift 2024-06-26T05:02:07.0431950Z + for trap_add_name in "$@" 2024-06-26T05:02:07.0436712Z +++ trap -p EXIT 2024-06-26T05:02:07.0439233Z ++ eval 'extract_trap_cmd ' 2024-06-26T05:02:07.0439807Z +++ extract_trap_cmd 2024-06-26T05:02:07.0440199Z +++ printf '%s\n' '' 2024-06-26T05:02:07.0440609Z ++ printf '%s\n' cleanup_workspace 2024-06-26T05:02:07.0442046Z + trap -- ' 2024-06-26T05:02:07.0442359Z cleanup_workspace' EXIT 2024-06-26T05:02:07.0442809Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2024-06-26T05:02:11.5647205Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2024-06-26T05:02:11.5935609Z + echo 'Environment variables:' 2024-06-26T05:02:11.5936380Z Environment variables: 2024-06-26T05:02:11.5936909Z + env 2024-06-26T05:02:11.5953725Z INSTALLED_DB= 2024-06-26T05:02:11.5954827Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-06-26T05:02:11.5955548Z CONTINUE_THROUGH_ERROR=False 2024-06-26T05:02:11.5956319Z BUILD_ENVIRONMENT=linux-jammy-py3-clang12-executorch 2024-06-26T05:02:11.5956793Z HOSTNAME=5b6623b73931 2024-06-26T05:02:11.5957678Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_7fbdabef-cc5e-4be2-9b72-c9b4b2a94817 2024-06-26T05:02:11.5958707Z GITHUB_ACTION=__self 2024-06-26T05:02:11.5959033Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2024-06-26T05:02:11.5959415Z GITHUB_RUN_NUMBER=219936 2024-06-26T05:02:11.5959722Z TEST_CONFIG=executorch 2024-06-26T05:02:11.5960054Z GITHUB_REPOSITORY_OWNER_ID=21003710 2024-06-26T05:02:11.5960551Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2024-06-26T05:02:11.5961051Z GITHUB_TRIGGERING_ACTOR=leslie-fang-intel 2024-06-26T05:02:11.5961460Z GITHUB_REF_TYPE=branch 2024-06-26T05:02:11.5961777Z TORCH_CUDA_ARCH_LIST=Maxwell 2024-06-26T05:02:11.5962175Z BASE_SHA=4b9c9a9cc9c9283380a011310ba180c105c3dcb9 2024-06-26T05:02:11.5962603Z XLA_CUDA= 2024-06-26T05:02:11.5962862Z HUGGING_FACE_HUB_TOKEN= 2024-06-26T05:02:11.5964638Z *** 2024-06-26T05:02:11.5964913Z GITHUB_REPOSITORY_ID=65600975 2024-06-26T05:02:11.5965269Z GITHUB_ACTIONS=true 2024-06-26T05:02:11.5965597Z SHA1=b8c4c54d347aa776934c60784e35936878ef18dc 2024-06-26T05:02:11.5966090Z GITHUB_SHA=4b51b1a62a63a1add1b3a0f7882f5c7dc66b8f8d 2024-06-26T05:02:11.5966816Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/pull/129470/merge 2024-06-26T05:02:11.5967440Z UCC_HOME=/usr 2024-06-26T05:02:11.5967714Z VERBOSE_TEST_LOGS=False 2024-06-26T05:02:11.5968042Z GITHUB_REF=refs/pull/129470/merge 2024-06-26T05:02:11.5968385Z SHARD_NUMBER=1 2024-06-26T05:02:11.5968676Z GITHUB_REF_PROTECTED=false 2024-06-26T05:02:11.5969006Z HOME=/var/lib/jenkins 2024-06-26T05:02:11.5969342Z GITHUB_API_URL=https://api.github.com 2024-06-26T05:02:11.5969770Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2024-06-26T05:02:11.5970154Z UCX_COMMIT= 2024-06-26T05:02:11.5970414Z SCCACHE_S3_KEY_PREFIX=pull 2024-06-26T05:02:11.5970742Z NUM_TEST_SHARDS=1 2024-06-26T05:02:11.5971022Z UCX_HOME=/usr 2024-06-26T05:02:11.5971878Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_7fbdabef-cc5e-4be2-9b72-c9b4b2a94817 2024-06-26T05:02:11.5973076Z JOB_NAME=linux-jammy-py3-clang12-executorch / test (executorch, 1, 1, linux.2xlarge) 2024-06-26T05:02:11.5974510Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_7fbdabef-cc5e-4be2-9b72-c9b4b2a94817 2024-06-26T05:02:11.5975665Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2024-06-26T05:02:11.5976316Z GITHUB_EVENT_NAME=pull_request 2024-06-26T05:02:11.5976665Z DASHBOARD_TAG= 2024-06-26T05:02:11.5976948Z GITHUB_RUN_ID=9673645538 2024-06-26T05:02:11.5977871Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_7fbdabef-cc5e-4be2-9b72-c9b4b2a94817 2024-06-26T05:02:11.5978829Z GITHUB_ACTOR=leslie-fang-intel 2024-06-26T05:02:11.5979180Z PR_NUMBER=129470 2024-06-26T05:02:11.5979447Z DESIRED_CUDA= 2024-06-26T05:02:11.5979721Z GITHUB_RUN_ATTEMPT=1 2024-06-26T05:02:11.5980133Z ANACONDA_PYTHON_VERSION=3.10 2024-06-26T05:02:11.5980549Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2024-06-26T05:02:11.5980992Z TERM=xterm 2024-06-26T05:02:11.5981248Z INSTALLED_VISION= 2024-06-26T05:02:11.5981526Z BRANCH=pull/129470 2024-06-26T05:02:11.5981829Z OPENSSL_ROOT_DIR=/opt/openssl 2024-06-26T05:02:11.5982185Z CUDA_PATH=/usr/local/cuda 2024-06-26T05:02:11.5982924Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2024-06-26T05:02:11.5983685Z GITHUB_SERVER_URL=https://github.com 2024-06-26T05:02:11.5984064Z UCC_COMMIT= 2024-06-26T05:02:11.5984311Z REENABLED_ISSUES= 2024-06-26T05:02:11.5984581Z DOCS= 2024-06-26T05:02:11.5984824Z INSTALLED_ANDROID= 2024-06-26T05:02:11.5985088Z SHLVL=1 2024-06-26T05:02:11.5985434Z MAX_JOBS=6 2024-06-26T05:02:11.5985682Z GITHUB_ACTOR_ID=53841472 2024-06-26T05:02:11.5986131Z GITHUB_WORKFLOW_SHA=4b51b1a62a63a1add1b3a0f7882f5c7dc66b8f8d 2024-06-26T05:02:11.5986667Z GITHUB_REF_NAME=129470/merge 2024-06-26T05:02:11.5987258Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2024-06-26T05:02:11.5987815Z GITHUB_JOB=test 2024-06-26T05:02:11.5988098Z NO_TEST_TIMEOUT=False 2024-06-26T05:02:11.5988420Z TD_DISTRIBUTED=False 2024-06-26T05:02:11.5988733Z GITHUB_REPOSITORY=pytorch/pytorch 2024-06-26T05:02:11.5989109Z GITHUB_RETENTION_DAYS=90 2024-06-26T05:02:11.5989440Z OPENSSL_DIR=/opt/openssl 2024-06-26T05:02:11.5989756Z GITHUB_ACTION_REPOSITORY= 2024-06-26T05:02:11.5990816Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-06-26T05:02:11.5992028Z GITHUB_BASE_REF=gh/leslie-fang-intel/126/base 2024-06-26T05:02:11.5992441Z INSTALLED_ACL= 2024-06-26T05:02:11.5992711Z CI=true 2024-06-26T05:02:11.5992977Z GITHUB_REPOSITORY_OWNER=pytorch 2024-06-26T05:02:11.5993319Z JOB_ID=26688288400 2024-06-26T05:02:11.5993607Z INSTALLED_PROTOBUF= 2024-06-26T05:02:11.5994002Z GITHUB_HEAD_REF=gh/leslie-fang-intel/126/head 2024-06-26T05:02:11.5994412Z GITHUB_ACTION_REF= 2024-06-26T05:02:11.5994829Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2024-06-26T05:02:11.5995283Z GITHUB_WORKFLOW=pull 2024-06-26T05:02:11.5995594Z DEBIAN_FRONTEND=noninteractive 2024-06-26T05:02:11.5996521Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_7fbdabef-cc5e-4be2-9b72-c9b4b2a94817 2024-06-26T05:02:11.5997365Z NO_TD=False 2024-06-26T05:02:11.5997634Z SKIP_SCCACHE_INITIALIZATION=1 2024-06-26T05:02:11.5998236Z _=/usr/bin/env 2024-06-26T05:02:11.5998703Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2024-06-26T05:02:11.6131183Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2024-06-26T05:02:11.6132351Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2024-06-26T05:02:11.6133300Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2024-06-26T05:02:11.6134298Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2024-06-26T05:02:11.6134990Z + BUILD_DIR=build 2024-06-26T05:02:11.6135298Z + BUILD_RENAMED_DIR=build_renamed 2024-06-26T05:02:11.6135670Z + BUILD_BIN_DIR=build/bin 2024-06-26T05:02:11.6136279Z + SHARD_NUMBER=1 2024-06-26T05:02:11.6136576Z + NUM_TEST_SHARDS=1 2024-06-26T05:02:11.6136879Z + export VALGRIND=ON 2024-06-26T05:02:11.6137169Z + VALGRIND=ON 2024-06-26T05:02:11.6137627Z + [[ linux-jammy-py3-clang12-executorch == *clang9* ]] 2024-06-26T05:02:11.6138216Z + [[ 0 == \1 ]] 2024-06-26T05:02:11.6138483Z + [[ False == \1 ]] 2024-06-26T05:02:11.6138933Z + [[ linux-jammy-py3-clang12-executorch != *bazel* ]] 2024-06-26T05:02:11.6139455Z ++ realpath build/custom_test_artifacts 2024-06-26T05:02:11.6166626Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2024-06-26T05:02:11.6167775Z + [[ -n '' ]] 2024-06-26T05:02:11.6168327Z + echo 'Environment variables' 2024-06-26T05:02:11.6168931Z Environment variables 2024-06-26T05:02:11.6169414Z + env 2024-06-26T05:02:11.6173669Z INSTALLED_DB= 2024-06-26T05:02:11.6174603Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-06-26T05:02:11.6175604Z CONTINUE_THROUGH_ERROR=False 2024-06-26T05:02:11.6176430Z BUILD_ENVIRONMENT=linux-jammy-py3-clang12-executorch 2024-06-26T05:02:11.6177208Z HOSTNAME=5b6623b73931 2024-06-26T05:02:11.6178383Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_7fbdabef-cc5e-4be2-9b72-c9b4b2a94817 2024-06-26T05:02:11.6179231Z GITHUB_ACTION=__self 2024-06-26T05:02:11.6179556Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2024-06-26T05:02:11.6179921Z GITHUB_RUN_NUMBER=219936 2024-06-26T05:02:11.6180323Z TEST_CONFIG=executorch 2024-06-26T05:02:11.6180654Z GITHUB_REPOSITORY_OWNER_ID=21003710 2024-06-26T05:02:11.6181336Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2024-06-26T05:02:11.6181817Z GITHUB_TRIGGERING_ACTOR=leslie-fang-intel 2024-06-26T05:02:11.6182228Z GITHUB_REF_TYPE=branch 2024-06-26T05:02:11.6182533Z TORCH_CUDA_ARCH_LIST=Maxwell 2024-06-26T05:02:11.6182934Z BASE_SHA=4b9c9a9cc9c9283380a011310ba180c105c3dcb9 2024-06-26T05:02:11.6183359Z XLA_CUDA= 2024-06-26T05:02:11.6183609Z HUGGING_FACE_HUB_TOKEN= 2024-06-26T05:02:11.6184032Z *** 2024-06-26T05:02:11.6184297Z GITHUB_REPOSITORY_ID=65600975 2024-06-26T05:02:11.6184629Z GITHUB_ACTIONS=true 2024-06-26T05:02:11.6184968Z SHA1=b8c4c54d347aa776934c60784e35936878ef18dc 2024-06-26T05:02:11.6185460Z GITHUB_SHA=4b51b1a62a63a1add1b3a0f7882f5c7dc66b8f8d 2024-06-26T05:02:11.6186159Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/pull/129470/merge 2024-06-26T05:02:11.6186786Z UCC_HOME=/usr 2024-06-26T05:02:11.6187062Z VERBOSE_TEST_LOGS=False 2024-06-26T05:02:11.6187376Z GITHUB_REF=refs/pull/129470/merge 2024-06-26T05:02:11.6187735Z SHARD_NUMBER=1 2024-06-26T05:02:11.6188019Z GITHUB_REF_PROTECTED=false 2024-06-26T05:02:11.6188334Z HOME=/var/lib/jenkins 2024-06-26T05:02:11.6188675Z GITHUB_API_URL=https://api.github.com 2024-06-26T05:02:11.6189094Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2024-06-26T05:02:11.6189453Z UCX_COMMIT= 2024-06-26T05:02:11.6189726Z SCCACHE_S3_KEY_PREFIX=pull 2024-06-26T05:02:11.6190052Z NUM_TEST_SHARDS=1 2024-06-26T05:02:11.6190316Z UCX_HOME=/usr 2024-06-26T05:02:11.6191169Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_7fbdabef-cc5e-4be2-9b72-c9b4b2a94817 2024-06-26T05:02:11.6192375Z JOB_NAME=linux-jammy-py3-clang12-executorch / test (executorch, 1, 1, linux.2xlarge) 2024-06-26T05:02:11.6193583Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_7fbdabef-cc5e-4be2-9b72-c9b4b2a94817 2024-06-26T05:02:11.6194728Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2024-06-26T05:02:11.6195395Z GITHUB_EVENT_NAME=pull_request 2024-06-26T05:02:11.6195740Z DASHBOARD_TAG= 2024-06-26T05:02:11.6196007Z GITHUB_RUN_ID=9673645538 2024-06-26T05:02:11.6196939Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_7fbdabef-cc5e-4be2-9b72-c9b4b2a94817 2024-06-26T05:02:11.6198135Z GITHUB_ACTOR=leslie-fang-intel 2024-06-26T05:02:11.6198483Z PR_NUMBER=129470 2024-06-26T05:02:11.6198764Z DESIRED_CUDA= 2024-06-26T05:02:11.6199197Z GITHUB_RUN_ATTEMPT=1 2024-06-26T05:02:11.6199483Z VALGRIND=ON 2024-06-26T05:02:11.6199763Z ANACONDA_PYTHON_VERSION=3.10 2024-06-26T05:02:11.6200189Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2024-06-26T05:02:11.6200622Z TERM=xterm 2024-06-26T05:02:11.6200878Z INSTALLED_VISION= 2024-06-26T05:02:11.6201163Z BRANCH=pull/129470 2024-06-26T05:02:11.6201452Z OPENSSL_ROOT_DIR=/opt/openssl 2024-06-26T05:02:11.6201803Z CUDA_PATH=/usr/local/cuda 2024-06-26T05:02:11.6202560Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2024-06-26T05:02:11.6203309Z GITHUB_SERVER_URL=https://github.com 2024-06-26T05:02:11.6203685Z UCC_COMMIT= 2024-06-26T05:02:11.6203943Z REENABLED_ISSUES= 2024-06-26T05:02:11.6204200Z DOCS= 2024-06-26T05:02:11.6204441Z INSTALLED_ANDROID= 2024-06-26T05:02:11.6204716Z SHLVL=1 2024-06-26T05:02:11.6204940Z MAX_JOBS=6 2024-06-26T05:02:11.6205196Z GITHUB_ACTOR_ID=53841472 2024-06-26T05:02:11.6205643Z GITHUB_WORKFLOW_SHA=4b51b1a62a63a1add1b3a0f7882f5c7dc66b8f8d 2024-06-26T05:02:11.6206145Z GITHUB_REF_NAME=129470/merge 2024-06-26T05:02:11.6206761Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2024-06-26T05:02:11.6207332Z GITHUB_JOB=test 2024-06-26T05:02:11.6207601Z NO_TEST_TIMEOUT=False 2024-06-26T05:02:11.6207907Z TD_DISTRIBUTED=False 2024-06-26T05:02:11.6208238Z GITHUB_REPOSITORY=pytorch/pytorch 2024-06-26T05:02:11.6208601Z GITHUB_RETENTION_DAYS=90 2024-06-26T05:02:11.6208926Z OPENSSL_DIR=/opt/openssl 2024-06-26T05:02:11.6209256Z GITHUB_ACTION_REPOSITORY= 2024-06-26T05:02:11.6210418Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-06-26T05:02:11.6211653Z GITHUB_BASE_REF=gh/leslie-fang-intel/126/base 2024-06-26T05:02:11.6212079Z INSTALLED_ACL= 2024-06-26T05:02:11.6212329Z CI=true 2024-06-26T05:02:11.6212599Z GITHUB_REPOSITORY_OWNER=pytorch 2024-06-26T05:02:11.6212951Z JOB_ID=26688288400 2024-06-26T05:02:11.6213229Z INSTALLED_PROTOBUF= 2024-06-26T05:02:11.6213627Z GITHUB_HEAD_REF=gh/leslie-fang-intel/126/head 2024-06-26T05:02:11.6214046Z GITHUB_ACTION_REF= 2024-06-26T05:02:11.6214445Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2024-06-26T05:02:11.6214896Z GITHUB_WORKFLOW=pull 2024-06-26T05:02:11.6215214Z DEBIAN_FRONTEND=noninteractive 2024-06-26T05:02:11.6216129Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_7fbdabef-cc5e-4be2-9b72-c9b4b2a94817 2024-06-26T05:02:11.6216974Z NO_TD=False 2024-06-26T05:02:11.6217257Z SKIP_SCCACHE_INITIALIZATION=1 2024-06-26T05:02:11.6217589Z _=/usr/bin/env 2024-06-26T05:02:11.6217905Z + echo 'Testing pytorch' 2024-06-26T05:02:11.6218224Z Testing pytorch 2024-06-26T05:02:11.6218509Z + export LANG=C.UTF-8 2024-06-26T05:02:11.6218822Z + LANG=C.UTF-8 2024-06-26T05:02:11.6265208Z + PR_NUMBER=129470 2024-06-26T05:02:11.6265747Z + [[ executorch == \d\e\f\a\u\l\t ]] 2024-06-26T05:02:11.6266362Z + [[ executorch == \d\i\s\t\r\i\b\u\t\e\d ]] 2024-06-26T05:02:11.6266806Z + [[ executorch == \s\l\o\w ]] 2024-06-26T05:02:11.6267382Z + [[ linux-jammy-py3-clang12-executorch == *slow-gradcheck* ]] 2024-06-26T05:02:11.6268047Z + [[ linux-jammy-py3-clang12-executorch == *cuda* ]] 2024-06-26T05:02:11.6268647Z + [[ linux-jammy-py3-clang12-executorch == *rocm* ]] 2024-06-26T05:02:11.6269231Z + [[ linux-jammy-py3-clang12-executorch == *xpu* ]] 2024-06-26T05:02:11.6269710Z + [[ executorch == *crossref* ]] 2024-06-26T05:02:11.6270207Z + [[ linux-jammy-py3-clang12-executorch == *rocm* ]] 2024-06-26T05:02:11.6270802Z + [[ linux-jammy-py3-clang12-executorch == *xpu* ]] 2024-06-26T05:02:11.6271419Z + [[ linux-jammy-py3-clang12-executorch != *-bazel-* ]] 2024-06-26T05:02:11.6271959Z + pip_install --user ninja==1.10.2 2024-06-26T05:02:11.6272468Z + pip install --progress-bar off --user ninja==1.10.2 2024-06-26T05:02:12.0483518Z Collecting ninja==1.10.2 2024-06-26T05:02:12.0649963Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2024-06-26T05:02:12.0809379Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2024-06-26T05:02:13.5061557Z Installing collected packages: ninja 2024-06-26T05:02:13.5138041Z  WARNING: The script ninja is installed in '/var/lib/jenkins/.local/bin' which is not on PATH. 2024-06-26T05:02:13.5139341Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2024-06-26T05:02:13.5191783Z Successfully installed ninja-1.10.2 2024-06-26T05:02:13.6345078Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-06-26T05:02:13.6347736Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-06-26T05:02:13.6349270Z + [[ linux-jammy-py3-clang12-executorch == *aarch64* ]] 2024-06-26T05:02:13.6349773Z + install_tlparse 2024-06-26T05:02:13.6350117Z + pip_install --user tlparse==0.3.7 2024-06-26T05:02:13.6350648Z + pip install --progress-bar off --user tlparse==0.3.7 2024-06-26T05:02:14.0386056Z Collecting tlparse==0.3.7 2024-06-26T05:02:14.0550335Z Downloading tlparse-0.3.7-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (346 bytes) 2024-06-26T05:02:14.0668714Z Downloading tlparse-0.3.7-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB) 2024-06-26T05:02:15.5388663Z Installing collected packages: tlparse 2024-06-26T05:02:15.6090154Z Successfully installed tlparse-0.3.7 2024-06-26T05:02:15.7162144Z ++ python -m site --user-base 2024-06-26T05:02:15.7352685Z + PATH=/var/lib/jenkins/.local/bin:/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-06-26T05:02:15.7355177Z + [[ linux-jammy-py3-clang12-executorch == *asan* ]] 2024-06-26T05:02:15.7355858Z + [[ linux-jammy-py3-clang12-executorch == *-debug* ]] 2024-06-26T05:02:15.7356566Z + [[ linux-jammy-py3-clang12-executorch != *-bazel-* ]] 2024-06-26T05:02:15.7357603Z + echo 'We are not in debug mode: linux-jammy-py3-clang12-executorch. Expect the assertion to pass' 2024-06-26T05:02:15.7359379Z We are not in debug mode: linux-jammy-py3-clang12-executorch. Expect the assertion to pass 2024-06-26T05:02:15.7360080Z + cd test 2024-06-26T05:02:15.7360609Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2024-06-26T05:02:17.2669061Z + [[ executorch == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2024-06-26T05:02:17.2669606Z + [[ executorch == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2024-06-26T05:02:17.2670307Z + [[ linux-jammy-py3-clang12-executorch != *-bazel-* ]] 2024-06-26T05:02:17.2670780Z + pushd test 2024-06-26T05:02:17.2671151Z ~/workspace/test ~/workspace 2024-06-26T05:02:17.2672290Z ++ python -c 'import torch; print(torch.version.cuda)' 2024-06-26T05:02:18.7082325Z + CUDA_VERSION=None 2024-06-26T05:02:18.7082992Z + '[' None == 12.4 ']' 2024-06-26T05:02:18.7083299Z + ISCUDA124= 2024-06-26T05:02:18.7083564Z + popd 2024-06-26T05:02:18.7083814Z ~/workspace 2024-06-26T05:02:18.7086117Z + DYNAMO_BENCHMARK_FLAGS=() 2024-06-26T05:02:18.7087139Z + [[ executorch == *dynamo_eager* ]] 2024-06-26T05:02:18.7087785Z + [[ executorch == *aot_eager* ]] 2024-06-26T05:02:18.7088187Z + [[ executorch == *aot_inductor* ]] 2024-06-26T05:02:18.7088595Z + [[ executorch == *inductor* ]] 2024-06-26T05:02:18.7088985Z + [[ executorch == *dynamic* ]] 2024-06-26T05:02:18.7089367Z + [[ executorch == *cpu_inductor* ]] 2024-06-26T05:02:18.7089889Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2024-06-26T05:02:18.7107031Z + [[ linux-jammy-py3-clang12-executorch == *libtorch* ]] 2024-06-26T05:02:18.7108138Z + [[ linux-jammy-py3-clang12-executorch == *-bazel-* ]] 2024-06-26T05:02:18.7108986Z + cd test 2024-06-26T05:02:18.7110207Z + python -c 'import torch; print(torch.__config__.show())' 2024-06-26T05:02:19.8785323Z PyTorch built with: 2024-06-26T05:02:19.8785953Z - GCC 4.2 2024-06-26T05:02:19.8786409Z - C++ Version: 201703 2024-06-26T05:02:19.8786779Z - clang 12.0.1 2024-06-26T05:02:19.8787611Z - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications 2024-06-26T05:02:19.8788684Z - Intel(R) MKL-DNN v3.4.2 (Git Hash 1137e04ec0b5251ca2b4400a4fd3c667ce843d67) 2024-06-26T05:02:19.8789299Z - OpenMP 201811 2024-06-26T05:02:19.8789724Z - LAPACK is enabled (usually provided by MKL) 2024-06-26T05:02:19.8790177Z - NNPACK is enabled 2024-06-26T05:02:19.8790541Z - CPU capability usage: AVX512 2024-06-26T05:02:19.8799970Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=1 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=braced-scalar-init -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wvla-extension -Wsuggest-override -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=pedantic -Wno-error=old-style-cast -Wno-error=inconsistent-missing-override -Wno-error=inconsistent-missing-destructor-override -Wconstant-conversion -Wno-invalid-partial-specialization -Wno-missing-braces -Qunused-arguments -fcolor-diagnostics -faligned-new -Werror -fno-math-errno -fno-trapping-math -Werror=format, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=2.5.0, USE_CUDA=0, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, 2024-06-26T05:02:19.8810376Z 2024-06-26T05:02:20.1523207Z + cd test 2024-06-26T05:02:20.1523920Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2024-06-26T05:02:21.2916015Z ATen/Parallel: 2024-06-26T05:02:21.2916680Z at::get_num_threads() : 4 2024-06-26T05:02:21.2917353Z at::get_num_interop_threads() : 4 2024-06-26T05:02:21.2918248Z OpenMP 201811 2024-06-26T05:02:21.2918748Z omp_get_max_threads() : 4 2024-06-26T05:02:21.2920283Z Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications 2024-06-26T05:02:21.2921087Z mkl_get_max_threads() : 4 2024-06-26T05:02:21.2921700Z Intel(R) MKL-DNN v3.4.2 (Git Hash 1137e04ec0b5251ca2b4400a4fd3c667ce843d67) 2024-06-26T05:02:21.2922325Z std::thread::hardware_concurrency() : 8 2024-06-26T05:02:21.2922719Z Environment variables: 2024-06-26T05:02:21.2923065Z OMP_NUM_THREADS : [not set] 2024-06-26T05:02:21.2923418Z MKL_NUM_THREADS : [not set] 2024-06-26T05:02:21.2923762Z ATen parallel backend: OpenMP 2024-06-26T05:02:21.2924026Z 2024-06-26T05:02:21.5650101Z + [[ linux-jammy-py3-clang12-executorch == *aarch64* ]] 2024-06-26T05:02:21.5650988Z + [[ executorch == *backward* ]] 2024-06-26T05:02:21.5651596Z + [[ executorch == *xla* ]] 2024-06-26T05:02:21.5652157Z + [[ executorch == *executorch* ]] 2024-06-26T05:02:21.5652793Z + test_executorch 2024-06-26T05:02:21.5653510Z + echo 'Install torchvision and torchaudio' 2024-06-26T05:02:21.5654236Z Install torchvision and torchaudio 2024-06-26T05:02:21.5654788Z + install_torchvision 2024-06-26T05:02:21.5655287Z + local orig_preload 2024-06-26T05:02:21.5655754Z + local commit 2024-06-26T05:02:21.5656221Z ++ get_pinned_commit vision 2024-06-26T05:02:21.5656855Z ++ cat .github/ci_commit_pins/vision.txt 2024-06-26T05:02:21.5670384Z + commit=d23a6e1664d20707c11781299611436e1f0c104f 2024-06-26T05:02:21.5671350Z + orig_preload= 2024-06-26T05:02:21.5671925Z + '[' -n '' ']' 2024-06-26T05:02:21.5673279Z + pip_install --no-use-pep517 --user git+https://github.com/pytorch/vision.git@d23a6e1664d20707c11781299611436e1f0c104f 2024-06-26T05:02:21.5675983Z + pip install --progress-bar off --no-use-pep517 --user git+https://github.com/pytorch/vision.git@d23a6e1664d20707c11781299611436e1f0c104f 2024-06-26T05:02:21.9315897Z Collecting git+https://github.com/pytorch/vision.git@d23a6e1664d20707c11781299611436e1f0c104f 2024-06-26T05:02:21.9322850Z Cloning https://github.com/pytorch/vision.git (to revision d23a6e1664d20707c11781299611436e1f0c104f) to /tmp/pip-req-build-mzuewx9u 2024-06-26T05:02:21.9339498Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-mzuewx9u 2024-06-26T05:02:23.6803859Z Running command git rev-parse -q --verify 'sha^d23a6e1664d20707c11781299611436e1f0c104f' 2024-06-26T05:02:23.6820558Z Running command git fetch -q https://github.com/pytorch/vision.git d23a6e1664d20707c11781299611436e1f0c104f 2024-06-26T05:02:23.7667040Z Running command git checkout -q d23a6e1664d20707c11781299611436e1f0c104f 2024-06-26T05:02:23.9946373Z Resolved https://github.com/pytorch/vision.git to commit d23a6e1664d20707c11781299611436e1f0c104f 2024-06-26T05:02:26.3324082Z Preparing metadata (setup.py) ... [?25l- \ done 2024-06-26T05:02:26.3378683Z [?25hRequirement already satisfied: numpy in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torchvision==0.19.0a0+d23a6e1) (1.25.2) 2024-06-26T05:02:26.3382226Z Requirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torchvision==0.19.0a0+d23a6e1) (2.5.0a0+gitb8c4c54) 2024-06-26T05:02:26.3388405Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torchvision==0.19.0a0+d23a6e1) (10.3.0) 2024-06-26T05:02:26.3596772Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (3.13.1) 2024-06-26T05:02:26.3604978Z Requirement already satisfied: typing-extensions>=4.8.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (4.12.2) 2024-06-26T05:02:26.3608127Z Requirement already satisfied: sympy in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (1.12) 2024-06-26T05:02:26.3611343Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (2.8.8) 2024-06-26T05:02:26.3614333Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (3.1.4) 2024-06-26T05:02:26.3617459Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (2024.2.0) 2024-06-26T05:02:26.4044096Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch->torchvision==0.19.0a0+d23a6e1) (2.1.5) 2024-06-26T05:02:26.4203398Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy->torch->torchvision==0.19.0a0+d23a6e1) (1.3.0) 2024-06-26T05:02:26.4285543Z Building wheels for collected packages: torchvision 2024-06-26T05:03:37.0842181Z Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done 2024-06-26T05:03:37.0878627Z [?25h Created wheel for torchvision: filename=torchvision-0.19.0a0+d23a6e1-cp310-cp310-linux_x86_64.whl size=1119988 sha256=4b3a2854a2fcc6fbea5feb8e8c0fac2ccc2d5610f813d2c7f777d0ce8f76f069 2024-06-26T05:03:37.0881873Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/0e/56/35/02931e71eb23fd2b85591c7ec05b733ca7c8b328a2fd151f96 2024-06-26T05:03:37.0918562Z Successfully built torchvision 2024-06-26T05:03:38.4242346Z Installing collected packages: torchvision 2024-06-26T05:03:38.8060337Z Successfully installed torchvision-0.19.0a0+d23a6e1 2024-06-26T05:03:38.9263557Z + '[' -n '' ']' 2024-06-26T05:03:38.9266071Z + install_torchaudio 2024-06-26T05:03:38.9266525Z + local commit 2024-06-26T05:03:38.9267026Z ++ get_pinned_commit audio 2024-06-26T05:03:38.9267398Z ++ cat .github/ci_commit_pins/audio.txt 2024-06-26T05:03:38.9282191Z + commit=b829e936f7cc61b48149f5f957a451a38bf2a178 2024-06-26T05:03:38.9282767Z + [[ '' == \c\u\d\a ]] 2024-06-26T05:03:38.9283715Z + pip_install --no-use-pep517 --user git+https://github.com/pytorch/audio.git@b829e936f7cc61b48149f5f957a451a38bf2a178 2024-06-26T05:03:38.9285357Z + pip install --progress-bar off --no-use-pep517 --user git+https://github.com/pytorch/audio.git@b829e936f7cc61b48149f5f957a451a38bf2a178 2024-06-26T05:03:39.2751215Z Collecting git+https://github.com/pytorch/audio.git@b829e936f7cc61b48149f5f957a451a38bf2a178 2024-06-26T05:03:39.2756369Z Cloning https://github.com/pytorch/audio.git (to revision b829e936f7cc61b48149f5f957a451a38bf2a178) to /tmp/pip-req-build-f7t9glun 2024-06-26T05:03:39.2772441Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/audio.git /tmp/pip-req-build-f7t9glun 2024-06-26T05:03:39.9994482Z Running command git rev-parse -q --verify 'sha^b829e936f7cc61b48149f5f957a451a38bf2a178' 2024-06-26T05:03:40.0011357Z Running command git fetch -q https://github.com/pytorch/audio.git b829e936f7cc61b48149f5f957a451a38bf2a178 2024-06-26T05:03:40.0783018Z Running command git checkout -q b829e936f7cc61b48149f5f957a451a38bf2a178 2024-06-26T05:03:40.2134862Z Resolved https://github.com/pytorch/audio.git to commit b829e936f7cc61b48149f5f957a451a38bf2a178 2024-06-26T05:03:40.2135902Z Running command git submodule update --init --recursive -q 2024-06-26T05:03:42.2987056Z Preparing metadata (setup.py) ... [?25l- done 2024-06-26T05:03:42.3020334Z [?25hRequirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torchaudio==2.4.0a0+b829e93) (2.5.0a0+gitb8c4c54) 2024-06-26T05:03:42.3085290Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torchaudio==2.4.0a0+b829e93) (3.13.1) 2024-06-26T05:03:42.3091344Z Requirement already satisfied: typing-extensions>=4.8.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torchaudio==2.4.0a0+b829e93) (4.12.2) 2024-06-26T05:03:42.3094153Z Requirement already satisfied: sympy in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torchaudio==2.4.0a0+b829e93) (1.12) 2024-06-26T05:03:42.3097610Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torchaudio==2.4.0a0+b829e93) (2.8.8) 2024-06-26T05:03:42.3100481Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torchaudio==2.4.0a0+b829e93) (3.1.4) 2024-06-26T05:03:42.3103646Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torchaudio==2.4.0a0+b829e93) (2024.2.0) 2024-06-26T05:03:42.3511796Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch->torchaudio==2.4.0a0+b829e93) (2.1.5) 2024-06-26T05:03:42.3662591Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy->torch->torchaudio==2.4.0a0+b829e93) (1.3.0) 2024-06-26T05:03:42.3735153Z Building wheels for collected packages: torchaudio 2024-06-26T05:06:01.7805397Z Building wheel for torchaudio (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done 2024-06-26T05:06:01.7857533Z [?25h Created wheel for torchaudio: filename=torchaudio-2.4.0a0+b829e93-cp310-cp310-linux_x86_64.whl size=1693634 sha256=b941f0fec491fc8fb78e67988d7f272229fc91e031bc9a11ce28eb059b6f5b2d 2024-06-26T05:06:01.7859261Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/30/b3/9c/882f183f00af2e582825654a92a04400924519922db53ff522 2024-06-26T05:06:01.7887625Z Successfully built torchaudio 2024-06-26T05:06:03.1374218Z Installing collected packages: torchaudio 2024-06-26T05:06:03.3336992Z Successfully installed torchaudio-2.4.0a0+b829e93 2024-06-26T05:06:03.5224244Z + pushd /executorch 2024-06-26T05:06:03.5224662Z /executorch ~/workspace 2024-06-26T05:06:03.5225278Z + export PYTHON_EXECUTABLE=python 2024-06-26T05:06:03.5228759Z + PYTHON_EXECUTABLE=python 2024-06-26T05:06:03.5229207Z + export EXECUTORCH_BUILD_PYBIND=ON 2024-06-26T05:06:03.5229603Z + EXECUTORCH_BUILD_PYBIND=ON 2024-06-26T05:06:03.5230415Z + export 'CMAKE_ARGS=-DEXECUTORCH_BUILD_XNNPACK=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON' 2024-06-26T05:06:03.5231401Z + CMAKE_ARGS='-DEXECUTORCH_BUILD_XNNPACK=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON' 2024-06-26T05:06:03.5232105Z + source .ci/scripts/setup-linux.sh cmake 2024-06-26T05:06:03.5235646Z ++ set -exu 2024-06-26T05:06:03.5240050Z +++ dirname .ci/scripts/setup-linux.sh 2024-06-26T05:06:03.5248943Z ++ source .ci/scripts/utils.sh 2024-06-26T05:06:03.5258485Z ++ BUILD_TOOL=cmake 2024-06-26T05:06:03.5259129Z ++ [[ -z cmake ]] 2024-06-26T05:06:03.5259511Z ++ echo 'Setup Linux for cmake ...' 2024-06-26T05:06:03.5260627Z Setup Linux for cmake ... 2024-06-26T05:06:03.5261159Z ++ install_flatc_from_source 2024-06-26T05:06:03.5261792Z ++ pushd third-party/flatbuffers 2024-06-26T05:06:03.5262730Z /executorch/third-party/flatbuffers /executorch ~/workspace 2024-06-26T05:06:03.5263862Z ++ cmake -G 'Unix Makefiles' -DCMAKE_BUILD_TYPE=Release 2024-06-26T05:06:03.5308225Z CMake Warning: 2024-06-26T05:06:03.5309222Z No source or binary directory provided. Both will be assumed to be the 2024-06-26T05:06:03.5310564Z same as the current working directory, but note that this warning will 2024-06-26T05:06:03.5311667Z become a fatal error in future CMake releases. 2024-06-26T05:06:03.5312227Z 2024-06-26T05:06:03.5312443Z  2024-06-26T05:06:03.5462826Z -- Proceeding with version: 24.3.25.0 2024-06-26T05:06:03.5501250Z -- CMAKE_CXX_FLAGS: 2024-06-26T05:06:03.5646337Z -- Configuring done 2024-06-26T05:06:03.5867653Z -- Generating done 2024-06-26T05:06:03.5893367Z -- Build files have been written to: /executorch/third-party/flatbuffers 2024-06-26T05:06:03.5907951Z +++ uname 2024-06-26T05:06:03.5916976Z ++ '[' Linux == Darwin ']' 2024-06-26T05:06:03.5920190Z +++ nproc 2024-06-26T05:06:03.5948176Z ++ CMAKE_JOBS=7 2024-06-26T05:06:03.5948837Z ++ cmake --build . -j 7 2024-06-26T05:06:03.6240662Z Consolidate compiler generated dependencies of target flatbuffers 2024-06-26T05:06:03.6338010Z Consolidate compiler generated dependencies of target flatc 2024-06-26T05:06:03.6353469Z [ 5%] Built target flatbuffers 2024-06-26T05:06:03.6705990Z [ 47%] Built target flatc 2024-06-26T05:06:03.6839516Z [ 48%] Built target flatsample 2024-06-26T05:06:03.6854254Z Consolidate compiler generated dependencies of target flattests 2024-06-26T05:06:03.6907624Z Consolidate compiler generated dependencies of target flatsamplebinary 2024-06-26T05:06:03.6949602Z Consolidate compiler generated dependencies of target flatsamplebfbs 2024-06-26T05:06:03.6950588Z Consolidate compiler generated dependencies of target flatsampletext 2024-06-26T05:06:03.7008719Z [ 50%] Built target flatsamplebinary 2024-06-26T05:06:03.7088378Z [ 57%] Built target flatsampletext 2024-06-26T05:06:03.7103596Z [ 63%] Built target flatsamplebfbs 2024-06-26T05:06:03.7138475Z [100%] Built target flattests 2024-06-26T05:06:03.7210924Z ++++ which python 2024-06-26T05:06:03.7243690Z +++ dirname /opt/conda/envs/py_3.10/bin/python 2024-06-26T05:06:03.7251933Z ++ EXEC_PATH=/opt/conda/envs/py_3.10/bin 2024-06-26T05:06:03.7252410Z ++ cp flatc /opt/conda/envs/py_3.10/bin 2024-06-26T05:06:03.7315175Z ++ popd 2024-06-26T05:06:03.7315498Z /executorch ~/workspace 2024-06-26T05:06:03.7315846Z ++ install_executorch 2024-06-26T05:06:03.7316134Z ++ which pip 2024-06-26T05:06:03.7323247Z /opt/conda/envs/py_3.10/bin/pip 2024-06-26T05:06:03.7325158Z ++ pip install . --no-build-isolation -v --extra-index-url https://download.pytorch.org/whl/test/cpu --extra-index-url https://download.pytorch.org/whl/nightly/cpu 2024-06-26T05:06:03.9996243Z Using pip 24.0 from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pip (python 3.10) 2024-06-26T05:06:04.0939163Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/test/cpu, https://download.pytorch.org/whl/nightly/cpu 2024-06-26T05:06:04.0996365Z Processing /executorch 2024-06-26T05:06:04.1027814Z Running command Preparing metadata (pyproject.toml) 2024-06-26T05:06:04.9412479Z running dist_info 2024-06-26T05:06:04.9473995Z creating /tmp/pip-modern-metadata-utlsd3vu/executorch.egg-info 2024-06-26T05:06:04.9531142Z writing /tmp/pip-modern-metadata-utlsd3vu/executorch.egg-info/PKG-INFO 2024-06-26T05:06:04.9535268Z writing dependency_links to /tmp/pip-modern-metadata-utlsd3vu/executorch.egg-info/dependency_links.txt 2024-06-26T05:06:04.9537265Z writing entry points to /tmp/pip-modern-metadata-utlsd3vu/executorch.egg-info/entry_points.txt 2024-06-26T05:06:04.9539816Z writing requirements to /tmp/pip-modern-metadata-utlsd3vu/executorch.egg-info/requires.txt 2024-06-26T05:06:04.9543621Z writing top-level names to /tmp/pip-modern-metadata-utlsd3vu/executorch.egg-info/top_level.txt 2024-06-26T05:06:04.9545197Z writing manifest file '/tmp/pip-modern-metadata-utlsd3vu/executorch.egg-info/SOURCES.txt' 2024-06-26T05:06:05.2704771Z reading manifest file '/tmp/pip-modern-metadata-utlsd3vu/executorch.egg-info/SOURCES.txt' 2024-06-26T05:06:05.2713961Z adding license file 'LICENSE' 2024-06-26T05:06:05.2796843Z writing manifest file '/tmp/pip-modern-metadata-utlsd3vu/executorch.egg-info/SOURCES.txt' 2024-06-26T05:06:05.2798270Z creating '/tmp/pip-modern-metadata-utlsd3vu/executorch-0.4.0a0+39e17e4.dist-info' 2024-06-26T05:06:05.3634297Z Preparing metadata (pyproject.toml) ... [?25l[?25hdone 2024-06-26T05:06:05.3724260Z Requirement already satisfied: expecttest in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.4.0a0+39e17e4) (0.1.6) 2024-06-26T05:06:05.3727934Z Requirement already satisfied: flatbuffers in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.4.0a0+39e17e4) (2.0) 2024-06-26T05:06:05.3731194Z Requirement already satisfied: hypothesis in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.4.0a0+39e17e4) (6.84.2) 2024-06-26T05:06:05.3737041Z Requirement already satisfied: mpmath==1.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.4.0a0+39e17e4) (1.3.0) 2024-06-26T05:06:05.3744173Z Requirement already satisfied: numpy>=1.25.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.4.0a0+39e17e4) (1.25.2) 2024-06-26T05:06:05.3747856Z Requirement already satisfied: packaging in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.4.0a0+39e17e4) (24.1) 2024-06-26T05:06:05.3751291Z Requirement already satisfied: pandas in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.4.0a0+39e17e4) (2.2.2) 2024-06-26T05:06:05.3754683Z Requirement already satisfied: parameterized in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.4.0a0+39e17e4) (0.9.0) 2024-06-26T05:06:05.3758175Z Requirement already satisfied: pytest in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.4.0a0+39e17e4) (7.2.0) 2024-06-26T05:06:05.3761768Z Requirement already satisfied: pytest-xdist in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.4.0a0+39e17e4) (3.3.1) 2024-06-26T05:06:05.3765212Z Requirement already satisfied: pyyaml in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.4.0a0+39e17e4) (6.0.1) 2024-06-26T05:06:05.3770643Z Requirement already satisfied: ruamel.yaml in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.4.0a0+39e17e4) (0.17.32) 2024-06-26T05:06:05.3773966Z Requirement already satisfied: sympy in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.4.0a0+39e17e4) (1.12) 2024-06-26T05:06:05.3777485Z Requirement already satisfied: tabulate in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.4.0a0+39e17e4) (0.9.0) 2024-06-26T05:06:05.4143450Z Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from hypothesis->executorch==0.4.0a0+39e17e4) (23.2.0) 2024-06-26T05:06:05.4149655Z Requirement already satisfied: sortedcontainers<3.0.0,>=2.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from hypothesis->executorch==0.4.0a0+39e17e4) (2.4.0) 2024-06-26T05:06:05.4161217Z Requirement already satisfied: exceptiongroup>=1.0.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from hypothesis->executorch==0.4.0a0+39e17e4) (1.2.1) 2024-06-26T05:06:05.4860416Z Requirement already satisfied: python-dateutil>=2.8.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pandas->executorch==0.4.0a0+39e17e4) (2.9.0.post0) 2024-06-26T05:06:05.4866281Z Requirement already satisfied: pytz>=2020.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pandas->executorch==0.4.0a0+39e17e4) (2024.1) 2024-06-26T05:06:05.4873839Z Requirement already satisfied: tzdata>=2022.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pandas->executorch==0.4.0a0+39e17e4) (2024.1) 2024-06-26T05:06:05.5003277Z Requirement already satisfied: iniconfig in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pytest->executorch==0.4.0a0+39e17e4) (2.0.0) 2024-06-26T05:06:05.5010019Z Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pytest->executorch==0.4.0a0+39e17e4) (1.5.0) 2024-06-26T05:06:05.5022440Z Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pytest->executorch==0.4.0a0+39e17e4) (2.0.1) 2024-06-26T05:06:05.5065216Z Requirement already satisfied: execnet>=1.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pytest-xdist->executorch==0.4.0a0+39e17e4) (2.1.1) 2024-06-26T05:06:05.5127847Z Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from ruamel.yaml->executorch==0.4.0a0+39e17e4) (0.2.8) 2024-06-26T05:06:05.5436156Z Requirement already satisfied: six>=1.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from python-dateutil>=2.8.2->pandas->executorch==0.4.0a0+39e17e4) (1.16.0) 2024-06-26T05:06:05.5536129Z Building wheels for collected packages: executorch 2024-06-26T05:06:05.5544611Z Running command Building wheel for executorch (pyproject.toml) 2024-06-26T05:06:05.9447687Z running bdist_wheel 2024-06-26T05:06:05.9621335Z running build 2024-06-26T05:06:05.9622503Z command options for 'CustomBuild': 2024-06-26T05:06:05.9623719Z build_base = pip-out 2024-06-26T05:06:05.9625830Z build_purelib = pip-out/lib 2024-06-26T05:06:05.9627118Z build_platlib = pip-out/lib.linux-x86_64-cpython-310 2024-06-26T05:06:05.9628448Z build_lib = pip-out/lib.linux-x86_64-cpython-310 2024-06-26T05:06:05.9630772Z build_scripts = pip-out/scripts-3.10 2024-06-26T05:06:05.9632071Z build_temp = pip-out/temp.linux-x86_64-cpython-310 2024-06-26T05:06:05.9634130Z plat_name = linux-x86_64 2024-06-26T05:06:05.9636090Z compiler = None 2024-06-26T05:06:05.9638386Z parallel = 7 2024-06-26T05:06:05.9640708Z debug = None 2024-06-26T05:06:05.9642584Z force = None 2024-06-26T05:06:05.9645076Z executable = /opt/conda/envs/py_3.10/bin/python 2024-06-26T05:06:05.9648005Z deleting /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/CMakeCache.txt 2024-06-26T05:06:05.9654100Z cmake -S /executorch -B /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out -DBUCK2= -DPYTHON_EXECUTABLE=/opt/conda/envs/py_3.10/bin/python -DCMAKE_PREFIX_PATH=/opt/conda/envs/py_3.10/lib/python3.10/site-packages -DCMAKE_BUILD_TYPE=Release -DEXECUTORCH_ENABLE_LOGGING=ON -DEXECUTORCH_LOG_LEVEL=Info -DCMAKE_OSX_DEPLOYMENT_TARGET=10.15 -DEXECUTORCH_SEPARATE_FLATCC_HOST_PROJECT=OFF -DEXECUTORCH_BUILD_PYBIND=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED_AOT=ON -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON -DEXECUTORCH_BUILD_KERNELS_CUSTOM_AOT=ON -DEXECUTORCH_BUILD_XNNPACK=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON 2024-06-26T05:06:06.0446543Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:06:06.1482381Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:06:06.1536001Z -- Detecting C compiler ABI info 2024-06-26T05:06:06.2627947Z -- Detecting C compiler ABI info - done 2024-06-26T05:06:06.2688714Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:06:06.2689780Z -- Detecting C compile features 2024-06-26T05:06:06.2694879Z -- Detecting C compile features - done 2024-06-26T05:06:06.2727349Z -- Detecting CXX compiler ABI info 2024-06-26T05:06:06.4139074Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:06:06.4205115Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:06:06.4206074Z -- Detecting CXX compile features 2024-06-26T05:06:06.4210188Z -- Detecting CXX compile features - done 2024-06-26T05:06:06.4280207Z -- Looking for pthread.h 2024-06-26T05:06:06.5499086Z -- Looking for pthread.h - found 2024-06-26T05:06:06.5499901Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:06:06.6634269Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:06:06.6640100Z -- Found Threads: TRUE 2024-06-26T05:06:06.6732669Z -- Downloading FXdiv to /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/FXdiv-source (define FXDIV_SOURCE_DIR to avoid it) 2024-06-26T05:06:06.7015545Z -- Configuring done 2024-06-26T05:06:06.7031565Z -- Generating done 2024-06-26T05:06:06.7042097Z -- Build files have been written to: /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/FXdiv-download 2024-06-26T05:06:06.7344503Z [ 11%] Performing update step for 'fxdiv' 2024-06-26T05:06:06.8413257Z HEAD is now at 63058ef Export LICENSE file in Bazel build 2024-06-26T05:06:06.8665644Z [ 22%] No patch step for 'fxdiv' 2024-06-26T05:06:06.8803413Z [ 33%] No configure step for 'fxdiv' 2024-06-26T05:06:06.8951100Z [ 44%] No build step for 'fxdiv' 2024-06-26T05:06:06.9096235Z [ 55%] No install step for 'fxdiv' 2024-06-26T05:06:06.9242545Z [ 66%] No test step for 'fxdiv' 2024-06-26T05:06:06.9383847Z [ 77%] Completed 'fxdiv' 2024-06-26T05:06:06.9611000Z [100%] Built target fxdiv 2024-06-26T05:06:06.9710414Z -- Using python executable '/opt/conda/envs/py_3.10/bin/python' 2024-06-26T05:06:07.0513617Z -- Resolved buck2 as buck2. 2024-06-26T05:06:07.0514117Z -- Killing buck2 daemon 2024-06-26T05:06:07.0520120Z -- executorch: Generating source lists 2024-06-26T05:06:07.0522416Z -- executorch: Using source file list /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/executorch_srcs.cmake 2024-06-26T05:06:07.0523858Z -- executorch: Using sources file /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/executorch_srcs.cmake 2024-06-26T05:06:07.0558733Z -- Proceeding with version: 24.3.25.0 2024-06-26T05:06:07.0567692Z -- Looking for strtof_l 2024-06-26T05:06:07.2101018Z -- Looking for strtof_l - found 2024-06-26T05:06:07.2101829Z -- Looking for strtoull_l 2024-06-26T05:06:07.3619793Z -- Looking for strtoull_l - found 2024-06-26T05:06:07.3620646Z -- Looking for realpath 2024-06-26T05:06:07.4861659Z -- Looking for realpath - found 2024-06-26T05:06:07.4862197Z -- CMAKE_CXX_FLAGS: 2024-06-26T05:06:07.4877185Z -- executorch: Using PAL default 'posix' 2024-06-26T05:06:07.4938091Z -- Generating operator lib: 2024-06-26T05:06:07.4938673Z -- LIB_NAME: portable_ops_lib 2024-06-26T05:06:07.4940307Z -- OPS_SCHEMA_YAML: /executorch/kernels/portable/functions.yaml 2024-06-26T05:06:07.4941437Z -- ROOT_OPS: 2024-06-26T05:06:07.4943041Z -- INCLUDE_ALL_OPS: 2024-06-26T05:06:07.4947477Z Command - /opt/conda/envs/py_3.10/bin/python;-m;codegen.tools.gen_oplist;--output_path=/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/portable/portable_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/executorch/kernels/portable/functions.yaml" 2024-06-26T05:06:07.4950798Z -- Generating kernel bindings: 2024-06-26T05:06:07.4951520Z -- LIB_NAME: portable_ops_lib 2024-06-26T05:06:07.4952481Z -- FUNCTIONS_YAML: /executorch/kernels/portable/functions.yaml 2024-06-26T05:06:07.4953405Z -- CUSTOM_OPS_YAML: 2024-06-26T05:06:07.6214483Z Generated files /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/portable/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/portable/portable_ops_lib/Functions.h;/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/portable/portable_ops_lib/NativeFunctions.h 2024-06-26T05:06:07.6217368Z -- Generating operator lib: 2024-06-26T05:06:07.6217804Z -- LIB_NAME: portable_ops_lib 2024-06-26T05:06:07.6219369Z -- KERNEL_LIBS: portable_kernels 2024-06-26T05:06:07.6221036Z -- DEPS: executorch 2024-06-26T05:06:07.6253547Z -- Generating operator lib: 2024-06-26T05:06:07.6254633Z -- LIB_NAME: optimized_ops_lib 2024-06-26T05:06:07.6256727Z -- OPS_SCHEMA_YAML: /executorch/kernels/optimized/optimized-oss.yaml 2024-06-26T05:06:07.6257820Z -- ROOT_OPS: 2024-06-26T05:06:07.6259462Z -- INCLUDE_ALL_OPS: 2024-06-26T05:06:07.6263162Z Command - /opt/conda/envs/py_3.10/bin/python;-m;codegen.tools.gen_oplist;--output_path=/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/optimized/optimized_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/executorch/kernels/optimized/optimized-oss.yaml" 2024-06-26T05:06:07.6265442Z -- Generating kernel bindings: 2024-06-26T05:06:07.6266013Z -- LIB_NAME: optimized_ops_lib 2024-06-26T05:06:07.6266766Z -- FUNCTIONS_YAML: /executorch/kernels/optimized/optimized-oss.yaml 2024-06-26T05:06:07.6267361Z -- CUSTOM_OPS_YAML: 2024-06-26T05:06:07.7598695Z Generated files /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/optimized/optimized_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/optimized/optimized_ops_lib/Functions.h;/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/optimized/optimized_ops_lib/NativeFunctions.h 2024-06-26T05:06:07.7601547Z -- Generating operator lib: 2024-06-26T05:06:07.7601958Z -- LIB_NAME: optimized_ops_lib 2024-06-26T05:06:07.7602398Z -- KERNEL_LIBS: optimized_kernels 2024-06-26T05:06:07.7602838Z -- DEPS: executorch 2024-06-26T05:06:07.7611664Z -- Generating operator lib: 2024-06-26T05:06:07.7613266Z -- LIB_NAME: quantized_ops_lib 2024-06-26T05:06:07.7615005Z -- OPS_SCHEMA_YAML: /executorch/kernels/quantized/quantized.yaml 2024-06-26T05:06:07.7616030Z -- ROOT_OPS: 2024-06-26T05:06:07.7638608Z -- INCLUDE_ALL_OPS: 2024-06-26T05:06:07.7640944Z Command - /opt/conda/envs/py_3.10/bin/python;-m;codegen.tools.gen_oplist;--output_path=/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/executorch/kernels/quantized/quantized.yaml" 2024-06-26T05:06:07.7642757Z -- Generating kernel bindings: 2024-06-26T05:06:07.7643185Z -- LIB_NAME: quantized_ops_lib 2024-06-26T05:06:07.7643590Z -- FUNCTIONS_YAML: 2024-06-26T05:06:07.7644089Z -- CUSTOM_OPS_YAML: /executorch/kernels/quantized/quantized.yaml 2024-06-26T05:06:07.8889196Z Generated files /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/Functions.h;/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/NativeFunctions.h;/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/RegisterCPUCustomOps.cpp;/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/RegisterSchema.cpp;/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/CustomOpsNativeFunctions.h 2024-06-26T05:06:07.8894878Z -- Generating operator lib: 2024-06-26T05:06:07.8895311Z -- LIB_NAME: quantized_ops_aot_lib 2024-06-26T05:06:07.8895818Z -- OPS_SCHEMA_YAML: 2024-06-26T05:06:07.8899495Z -- ROOT_OPS: quantized_decomposed::add.out;quantized_decomposed::choose_qparams.Tensor_out;quantized_decomposed::dequantize_per_channel.out;quantized_decomposed::dequantize_per_tensor.out;quantized_decomposed::dequantize_per_tensor.Tensor_out;quantized_decomposed::mixed_linear.out;quantized_decomposed::mixed_mm.out;quantized_decomposed::quantize_per_channel.out;quantized_decomposed::quantize_per_tensor.out;quantized_decomposed::quantize_per_tensor.Tensor_out 2024-06-26T05:06:07.8902484Z -- INCLUDE_ALL_OPS: 2024-06-26T05:06:07.8907028Z Command - /opt/conda/envs/py_3.10/bin/python;-m;codegen.tools.gen_oplist;--output_path=/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_aot_lib/selected_operators.yaml;--root_ops="quantized_decomposed::add.out;quantized_decomposed::choose_qparams.Tensor_out;quantized_decomposed::dequantize_per_channel.out;quantized_decomposed::dequantize_per_tensor.out;quantized_decomposed::dequantize_per_tensor.Tensor_out;quantized_decomposed::mixed_linear.out;quantized_decomposed::mixed_mm.out;quantized_decomposed::quantize_per_channel.out;quantized_decomposed::quantize_per_tensor.out;quantized_decomposed::quantize_per_tensor.Tensor_out" 2024-06-26T05:06:07.8911295Z -- Generating kernel bindings: 2024-06-26T05:06:07.8911730Z -- LIB_NAME: quantized_ops_aot_lib 2024-06-26T05:06:07.8912221Z -- FUNCTIONS_YAML: 2024-06-26T05:06:07.8912805Z -- CUSTOM_OPS_YAML: /executorch/kernels/quantized/quantized.yaml 2024-06-26T05:06:08.0156615Z -- Generating custom ops aot lib: 2024-06-26T05:06:08.0157398Z -- LIB_NAME: quantized_ops_aot_lib 2024-06-26T05:06:08.0158840Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../kernels/quantized/cpu/op_add.cpp 2024-06-26T05:06:08.0160324Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../kernels/quantized/cpu/op_choose_qparams.cpp 2024-06-26T05:06:08.0161796Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../kernels/quantized/cpu/op_dequantize.cpp 2024-06-26T05:06:08.0163292Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../kernels/quantized/cpu/op_embedding.cpp 2024-06-26T05:06:08.0164778Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../kernels/quantized/cpu/op_embedding4b.cpp 2024-06-26T05:06:08.0166347Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../kernels/quantized/cpu/op_mixed_linear.cpp 2024-06-26T05:06:08.0167778Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../kernels/quantized/cpu/op_mixed_mm.cpp 2024-06-26T05:06:08.0169541Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../kernels/quantized/cpu/op_quantize.cpp 2024-06-26T05:06:08.0171093Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../kernels/portable/cpu/util/reduce_util.cpp 2024-06-26T05:06:08.0173370Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../runtime/core/exec_aten/util/tensor_util_aten.cpp 2024-06-26T05:06:08.0362579Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2024-06-26T05:06:08.0364400Z static library kineto_LIBRARY-NOTFOUND not found. 2024-06-26T05:06:08.0365232Z Call Stack (most recent call first): 2024-06-26T05:06:08.0367220Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:120 (append_torchlib_if_found) 2024-06-26T05:06:08.0368728Z build/Codegen.cmake:143 (find_package) 2024-06-26T05:06:08.0369587Z kernels/quantized/CMakeLists.txt:87 (gen_custom_ops_aot_lib) 2024-06-26T05:06:08.0370373Z 2024-06-26T05:06:08.0370392Z 2024-06-26T05:06:08.0372395Z -- Found Torch: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so 2024-06-26T05:06:08.0373555Z -- Generating operator lib: 2024-06-26T05:06:08.0374415Z -- LIB_NAME: quantized_ops_lib 2024-06-26T05:06:08.0375492Z -- KERNEL_LIBS: quantized_kernels 2024-06-26T05:06:08.0376897Z -- DEPS: executorch 2024-06-26T05:06:08.0403117Z -- Merging kernel yaml files: 2024-06-26T05:06:08.0404587Z -- FUNCTIONS_YAML: /executorch/configurations/../kernels/optimized/optimized-oss.yaml 2024-06-26T05:06:08.0406015Z -- FALLBACK_YAML: /executorch/configurations/../kernels/portable/functions.yaml 2024-06-26T05:06:08.0407449Z -- OUTPUT_DIR: /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations 2024-06-26T05:06:08.0408871Z -- Generating operator lib: 2024-06-26T05:06:08.0409643Z -- LIB_NAME: optimized_native_cpu_ops_lib 2024-06-26T05:06:08.0412060Z -- OPS_SCHEMA_YAML: /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/merged.yaml 2024-06-26T05:06:08.0413459Z -- ROOT_OPS: 2024-06-26T05:06:08.0414591Z -- INCLUDE_ALL_OPS: 2024-06-26T05:06:08.0420667Z Command - /opt/conda/envs/py_3.10/bin/python;-m;codegen.tools.gen_oplist;--output_path=/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/optimized_native_cpu_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/merged.yaml" 2024-06-26T05:06:08.0424242Z -- Generating kernel bindings: 2024-06-26T05:06:08.0424725Z -- LIB_NAME: optimized_native_cpu_ops_lib 2024-06-26T05:06:08.0425620Z -- FUNCTIONS_YAML: /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/merged.yaml 2024-06-26T05:06:08.0426419Z -- CUSTOM_OPS_YAML: 2024-06-26T05:06:08.1703275Z Generated files /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/optimized_native_cpu_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/optimized_native_cpu_ops_lib/Functions.h;/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/optimized_native_cpu_ops_lib/NativeFunctions.h 2024-06-26T05:06:08.1706611Z -- Generating operator lib: 2024-06-26T05:06:08.1707062Z -- LIB_NAME: optimized_native_cpu_ops_lib 2024-06-26T05:06:08.1707614Z -- KERNEL_LIBS: portable_kernels;optimized_kernels 2024-06-26T05:06:08.1708108Z -- DEPS: executorch 2024-06-26T05:06:08.1736042Z -- Looking for C++ include unistd.h 2024-06-26T05:06:08.3292786Z -- Looking for C++ include unistd.h - found 2024-06-26T05:06:08.3294053Z -- Looking for C++ include stdint.h 2024-06-26T05:06:08.4802429Z -- Looking for C++ include stdint.h - found 2024-06-26T05:06:08.4803517Z -- Looking for C++ include inttypes.h 2024-06-26T05:06:08.6285340Z -- Looking for C++ include inttypes.h - found 2024-06-26T05:06:08.6286349Z -- Looking for C++ include sys/types.h 2024-06-26T05:06:08.7840803Z -- Looking for C++ include sys/types.h - found 2024-06-26T05:06:08.7841739Z -- Looking for C++ include sys/stat.h 2024-06-26T05:06:08.9289689Z -- Looking for C++ include sys/stat.h - found 2024-06-26T05:06:08.9290651Z -- Looking for C++ include fnmatch.h 2024-06-26T05:06:09.0762109Z -- Looking for C++ include fnmatch.h - found 2024-06-26T05:06:09.0766416Z -- Looking for C++ include stddef.h 2024-06-26T05:06:09.2234587Z -- Looking for C++ include stddef.h - found 2024-06-26T05:06:09.2235120Z -- Check size of uint32_t 2024-06-26T05:06:09.3877650Z -- Check size of uint32_t - done 2024-06-26T05:06:09.3878752Z -- Looking for strtoll 2024-06-26T05:06:09.5394949Z -- Looking for strtoll - found 2024-06-26T05:06:09.6414874Z -- The ASM compiler identification is Clang with GNU-like command-line 2024-06-26T05:06:09.6429255Z -- Found assembler: /opt/cache/bin/cc 2024-06-26T05:06:09.6467900Z -- Downloading FP16 to /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/FP16-source (define FP16_SOURCE_DIR to avoid it) 2024-06-26T05:06:09.6738456Z -- Configuring done 2024-06-26T05:06:09.6754876Z -- Generating done 2024-06-26T05:06:09.6767201Z -- Build files have been written to: /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/FP16-download 2024-06-26T05:06:09.7069294Z [100%] Built target fp16 2024-06-26T05:06:09.7551689Z -- Downloading PSimd to /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/psimd-source (define PSIMD_SOURCE_DIR to avoid it) 2024-06-26T05:06:09.7885586Z -- Configuring done 2024-06-26T05:06:09.7901402Z -- Generating done 2024-06-26T05:06:09.7915268Z -- Build files have been written to: /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/psimd-download 2024-06-26T05:06:09.8216306Z [ 11%] Performing update step for 'psimd' 2024-06-26T05:06:09.9219782Z HEAD is now at 072586a Fix psimd_qfma_f32 for FMA-enabled x86 processors 2024-06-26T05:06:09.9466741Z [ 22%] No patch step for 'psimd' 2024-06-26T05:06:09.9605964Z [ 33%] No configure step for 'psimd' 2024-06-26T05:06:09.9750437Z [ 44%] No build step for 'psimd' 2024-06-26T05:06:09.9890446Z [ 55%] No install step for 'psimd' 2024-06-26T05:06:10.0034971Z [ 66%] No test step for 'psimd' 2024-06-26T05:06:10.0173544Z [ 77%] Completed 'psimd' 2024-06-26T05:06:10.0417613Z [100%] Built target psimd 2024-06-26T05:06:10.0563970Z -- pybind11 v2.12.0 dev1 2024-06-26T05:06:10.0764659Z -- Found PythonInterp: /opt/conda/envs/py_3.10/bin/python (found suitable version "3.10.14", minimum required is "3.6") 2024-06-26T05:06:10.0966195Z -- Found PythonLibs: /opt/conda/envs/py_3.10/lib/libpython3.10.so 2024-06-26T05:06:10.0976910Z -- Performing Test HAS_FLTO 2024-06-26T05:06:10.2972626Z -- Performing Test HAS_FLTO - Success 2024-06-26T05:06:10.2979212Z -- Performing Test HAS_FLTO_THIN 2024-06-26T05:06:10.5271810Z -- Performing Test HAS_FLTO_THIN - Success 2024-06-26T05:06:10.5305965Z -- dist install dir /executorch/third-party/flatcc 2024-06-26T05:06:10.5307064Z -- lib install dir /executorch/third-party/flatcc/lib 2024-06-26T05:06:10.5308004Z -- Setting Clang compiler options 2024-06-26T05:06:10.5310372Z -- Configured C_FLAGS: -DFLATCC_REFLECTION=0 -Wstrict-prototypes -Wsign-conversion -Wconversion -std=c11 -pedantic -Wall -Wextra -Werror 2024-06-26T05:06:10.5490914Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2024-06-26T05:06:10.5492313Z static library kineto_LIBRARY-NOTFOUND not found. 2024-06-26T05:06:10.5492946Z Call Stack (most recent call first): 2024-06-26T05:06:10.5494403Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:120 (append_torchlib_if_found) 2024-06-26T05:06:10.5495668Z CMakeLists.txt:648 (find_package) 2024-06-26T05:06:10.5496002Z 2024-06-26T05:06:10.5497115Z 2024-06-26T05:06:10.5522022Z -- executorch: Using source file list /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/examples/models/llama2/custom_ops/../../../../executorch_srcs.cmake 2024-06-26T05:06:10.5650072Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2024-06-26T05:06:10.5651949Z static library kineto_LIBRARY-NOTFOUND not found. 2024-06-26T05:06:10.5652799Z Call Stack (most recent call first): 2024-06-26T05:06:10.5654742Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:120 (append_torchlib_if_found) 2024-06-26T05:06:10.5656762Z examples/models/llama2/custom_ops/CMakeLists.txt:81 (find_package) 2024-06-26T05:06:10.5657582Z 2024-06-26T05:06:10.5657921Z 2024-06-26T05:06:10.5659421Z -- 2024-06-26T05:06:10.5661039Z -- ******** Summary ******** 2024-06-26T05:06:10.5662924Z -- CMAKE_BUILD_TYPE : Release 2024-06-26T05:06:10.5664304Z -- CMAKE_CXX_STANDARD : 17 2024-06-26T05:06:10.5666079Z -- CMAKE_CXX_COMPILER_ID : Clang 2024-06-26T05:06:10.5667223Z -- CMAKE_TOOLCHAIN_FILE : 2024-06-26T05:06:10.5669139Z -- BUCK2 : buck2 2024-06-26T05:06:10.5670736Z -- PYTHON_EXECUTABLE : /opt/conda/envs/py_3.10/bin/python 2024-06-26T05:06:10.5672761Z -- FLATC_EXECUTABLE : flatc 2024-06-26T05:06:10.5674665Z -- EXECUTORCH_ENABLE_LOGGING : ON 2024-06-26T05:06:10.5675604Z -- EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF 2024-06-26T05:06:10.5676665Z -- EXECUTORCH_LOG_LEVEL : Info 2024-06-26T05:06:10.5678259Z -- EXECUTORCH_BUILD_ANDROID_JNI : OFF 2024-06-26T05:06:10.5679742Z -- EXECUTORCH_BUILD_ARM_BAREMETAL : OFF 2024-06-26T05:06:10.5681222Z -- EXECUTORCH_BUILD_COREML : OFF 2024-06-26T05:06:10.5682674Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM : ON 2024-06-26T05:06:10.5684066Z -- EXECUTORCH_BUILD_EXECUTOR_RUNNER : ON 2024-06-26T05:06:10.5685473Z -- EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : OFF 2024-06-26T05:06:10.5686940Z -- EXECUTORCH_BUILD_EXTENSION_MODULE : OFF 2024-06-26T05:06:10.5688400Z -- EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF 2024-06-26T05:06:10.5689802Z -- EXECUTORCH_BUILD_FLATC : ON 2024-06-26T05:06:10.5691038Z -- EXECUTORCH_BUILD_GFLAGS : ON 2024-06-26T05:06:10.5692346Z -- EXECUTORCH_BUILD_GTESTS : OFF 2024-06-26T05:06:10.5693448Z -- EXECUTORCH_BUILD_HOST_TARGETS : ON 2024-06-26T05:06:10.5694741Z -- EXECUTORCH_BUILD_MPS : OFF 2024-06-26T05:06:10.5696041Z -- EXECUTORCH_BUILD_PYBIND : ON 2024-06-26T05:06:10.5697336Z -- EXECUTORCH_BUILD_QNN : OFF 2024-06-26T05:06:10.5698640Z -- EXECUTORCH_BUILD_KERNELS_OPTIMIZED : ON 2024-06-26T05:06:10.5699994Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED : ON 2024-06-26T05:06:10.5701462Z -- EXECUTORCH_BUILD_SDK : OFF 2024-06-26T05:06:10.5702801Z -- EXECUTORCH_BUILD_SIZE_TEST : OFF 2024-06-26T05:06:10.5704190Z -- EXECUTORCH_BUILD_XNNPACK : ON 2024-06-26T05:06:10.5705557Z -- EXECUTORCH_BUILD_VULKAN : OFF 2024-06-26T05:06:10.5706906Z -- EXECUTORCH_BUILD_PTHREADPOOL : ON 2024-06-26T05:06:10.5708255Z -- EXECUTORCH_BUILD_CPUINFO : ON 2024-06-26T05:06:10.5709658Z -- Configuring done 2024-06-26T05:06:11.5700761Z -- Generating done 2024-06-26T05:06:11.5787903Z -- Build files have been written to: /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out 2024-06-26T05:06:11.6046807Z cmake --build /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out -j7 --target flatc --target portable_lib --target custom_ops_aot_lib 2024-06-26T05:06:11.6746698Z Consolidate compiler generated dependencies of target flatc 2024-06-26T05:06:11.6925110Z [100%] Building CXX object third-party/flatbuffers/CMakeFiles/flatc.dir/src/reflection.cpp.o 2024-06-26T05:06:11.6926646Z [100%] Building CXX object third-party/flatbuffers/CMakeFiles/flatc.dir/src/idl_gen_text.cpp.o 2024-06-26T05:06:11.6927862Z [100%] Building CXX object third-party/flatbuffers/CMakeFiles/flatc.dir/src/idl_parser.cpp.o 2024-06-26T05:06:11.6929083Z [100%] Building CXX 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post-operation 2024-06-26T05:06:35.1930255Z [ 40%] Building C object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/f2c/drotmg.c.o 2024-06-26T05:06:35.2106996Z Consolidate compiler generated dependencies of target operator-run 2024-06-26T05:06:35.2332719Z [ 40%] Built target operator-run 2024-06-26T05:06:35.2384589Z [ 40%] Building C object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/f2c/lsame.c.o 2024-06-26T05:06:35.2667032Z Consolidate compiler generated dependencies of target flatcc_cli 2024-06-26T05:06:35.2736698Z [ 40%] Built target bundled_program_schema 2024-06-26T05:06:35.2742420Z [ 40%] Built target flatcc_cli 2024-06-26T05:06:35.2786566Z [ 40%] Building C object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/f2c/dspmv.c.o 2024-06-26T05:06:35.2798764Z [ 40%] Building C object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/f2c/ssbmv.c.o 2024-06-26T05:06:35.3447310Z [ 40%] Generating common_schema headers 2024-06-26T05:06:35.3523080Z [ 40%] Built target common_schema 2024-06-26T05:06:35.3569267Z [ 40%] Building C object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/f2c/chbmv.c.o 2024-06-26T05:06:35.3820592Z Consolidate compiler generated dependencies of target hardware-config 2024-06-26T05:06:35.3857570Z [ 50%] Built target xnnpack_schema 2024-06-26T05:06:35.3887220Z [ 50%] Built target hardware-config 2024-06-26T05:06:35.3905638Z [ 50%] Building C object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/f2c/sspmv.c.o 2024-06-26T05:06:35.3935673Z [ 50%] Building C object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/f2c/zhbmv.c.o 2024-06-26T05:06:35.4195702Z Consolidate compiler generated dependencies of target jit 2024-06-26T05:06:35.4216664Z Consolidate compiler generated dependencies of target cache 2024-06-26T05:06:35.4291465Z [ 50%] Built target jit 2024-06-26T05:06:35.4292221Z [ 50%] Built target cache 2024-06-26T05:06:35.4359966Z [ 50%] Built target etdump_schema 2024-06-26T05:06:35.4368486Z [ 50%] Building C object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/f2c/chpmv.c.o 2024-06-26T05:06:35.4371924Z Consolidate compiler generated dependencies of target operators 2024-06-26T05:06:35.4413441Z [ 50%] Building C object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/f2c/dsbmv.c.o 2024-06-26T05:06:35.4415502Z [ 50%] Building C object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/f2c/zhpmv.c.o 2024-06-26T05:06:35.4449950Z [ 50%] Generating program_schema headers 2024-06-26T05:06:35.4488686Z [ 50%] Built target operators 2024-06-26T05:06:35.4532788Z [ 50%] Building C object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/f2c/dtbmv.c.o 2024-06-26T05:06:35.4541390Z [ 50%] Building C object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/f2c/stbmv.c.o 2024-06-26T05:06:35.4582602Z [ 50%] Built target program_schema 2024-06-26T05:06:35.4637088Z [ 50%] Building C object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/f2c/ctbmv.c.o 2024-06-26T05:06:35.5075522Z Consolidate compiler generated dependencies of target subgraph 2024-06-26T05:06:35.5133159Z [ 60%] Building C object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/f2c/ztbmv.c.o 2024-06-26T05:06:35.5167359Z [ 60%] Building C object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/f2c/complexdots.c.o 2024-06-26T05:06:35.5200127Z [ 70%] Built target subgraph 2024-06-26T05:06:35.5394244Z Consolidate compiler generated dependencies of target XNNPACK 2024-06-26T05:06:35.5486219Z [ 70%] Built target XNNPACK 2024-06-26T05:06:35.5538523Z Consolidate compiler generated dependencies of target executorch_no_prim_ops 2024-06-26T05:06:35.5642287Z [ 70%] Building CXX object CMakeFiles/executorch_no_prim_ops.dir/runtime/executor/method.cpp.o 2024-06-26T05:06:35.5656535Z [ 70%] Building CXX object CMakeFiles/executorch_no_prim_ops.dir/runtime/executor/method_meta.cpp.o 2024-06-26T05:06:35.5657942Z [ 70%] Building CXX object CMakeFiles/executorch_no_prim_ops.dir/runtime/executor/program.cpp.o 2024-06-26T05:06:35.5662922Z [ 70%] Building CXX object CMakeFiles/executorch_no_prim_ops.dir/runtime/executor/tensor_parser_portable.cpp.o 2024-06-26T05:06:35.5664678Z [ 70%] Building CXX object CMakeFiles/executorch_no_prim_ops.dir/runtime/executor/tensor_parser_exec_aten.cpp.o 2024-06-26T05:06:35.6109768Z [ 70%] Linking CXX static library libeigen_blas.a 2024-06-26T05:06:35.6451672Z [ 70%] Built target eigen_blas 2024-06-26T05:06:35.8389427Z [ 70%] Linking CXX static library libexecutorch_no_prim_ops.a 2024-06-26T05:06:35.8605114Z [ 70%] Built target executorch_no_prim_ops 2024-06-26T05:06:35.8709083Z Consolidate compiler generated dependencies of target cpublas 2024-06-26T05:06:35.8719394Z Consolidate compiler generated dependencies of target executorch 2024-06-26T05:06:35.8794058Z [ 70%] Built target executorch 2024-06-26T05:06:35.8848378Z [ 70%] Building CXX object kernels/optimized/CMakeFiles/cpublas.dir/blas/CPUBlas.cpp.o 2024-06-26T05:06:35.8861088Z Consolidate compiler generated dependencies of target xnnpack_backend 2024-06-26T05:06:35.8893028Z Consolidate compiler generated dependencies of target extension_data_loader 2024-06-26T05:06:35.8967237Z [ 70%] Built target xnnpack_backend 2024-06-26T05:06:35.8982256Z [ 70%] Built target extension_data_loader 2024-06-26T05:06:35.9070509Z Consolidate compiler generated dependencies of target quantized_kernels 2024-06-26T05:06:35.9094264Z Consolidate compiler generated dependencies of target etdump 2024-06-26T05:06:35.9119151Z Consolidate compiler generated dependencies of target bundled_program 2024-06-26T05:06:35.9204812Z [ 70%] Built target bundled_program 2024-06-26T05:06:35.9247757Z [ 70%] Built target etdump 2024-06-26T05:06:35.9256949Z [ 70%] Built target quantized_kernels 2024-06-26T05:06:35.9452460Z [ 70%] Generating code for kernel registration 2024-06-26T05:06:35.9490009Z Consolidate compiler generated dependencies of target util 2024-06-26T05:06:35.9649095Z [ 70%] Generating code for kernel registration 2024-06-26T05:06:35.9909352Z [ 70%] Built target util 2024-06-26T05:06:36.1276050Z [ 70%] Linking CXX static library libcpublas.a 2024-06-26T05:06:36.1451767Z Consolidate compiler generated dependencies of target portable_kernels 2024-06-26T05:06:36.1554140Z [ 70%] Built target cpublas 2024-06-26T05:06:36.1857575Z [ 90%] Built target portable_kernels 2024-06-26T05:06:36.1956042Z Consolidate compiler generated dependencies of target portable_ops_lib 2024-06-26T05:06:36.2031547Z [100%] Built target portable_ops_lib 2024-06-26T05:06:37.1844208Z Consolidate compiler generated dependencies of target quantized_ops_lib 2024-06-26T05:06:37.1914955Z [100%] Generating code for kernel registration 2024-06-26T05:06:37.3363153Z Consolidate compiler generated dependencies of target quantized_ops_aot_lib 2024-06-26T05:06:37.4094180Z [100%] Generating code for kernel registration 2024-06-26T05:06:38.3559380Z [100%] Built target quantized_ops_lib 2024-06-26T05:06:38.5602611Z [100%] Linking CXX shared library libquantized_ops_aot_lib.so 2024-06-26T05:06:38.7489250Z [100%] Built target quantized_ops_aot_lib 2024-06-26T05:06:38.7992152Z Consolidate compiler generated dependencies of target portable_lib 2024-06-26T05:06:38.8366841Z [100%] Linking CXX shared library _portable_lib.cpython-310-x86_64-linux-gnu.so 2024-06-26T05:06:41.3981071Z [100%] Built target portable_lib 2024-06-26T05:06:41.4319121Z Consolidate compiler generated dependencies of target custom_ops_aot_lib 2024-06-26T05:06:41.4589980Z [100%] Building CXX object examples/models/llama2/custom_ops/CMakeFiles/custom_ops_aot_lib.dir/op_sdpa.cpp.o 2024-06-26T05:06:41.4591535Z [100%] Building CXX object examples/models/llama2/custom_ops/CMakeFiles/custom_ops_aot_lib.dir/__/__/__/__/extension/parallel/thread_parallel.cpp.o 2024-06-26T05:06:41.4760895Z [100%] Building CXX object examples/models/llama2/custom_ops/CMakeFiles/custom_ops_aot_lib.dir/op_sdpa_aot.cpp.o 2024-06-26T05:06:41.6618307Z In file included from :404: 2024-06-26T05:06:41.6620214Z :12:9: warning: '_GLIBCXX_USE_CXX11_ABI' macro redefined [-Wmacro-redefined] 2024-06-26T05:06:41.6621101Z #define _GLIBCXX_USE_CXX11_ABI 1 2024-06-26T05:06:41.6621799Z ^ 2024-06-26T05:06:41.6622238Z :10:9: note: previous definition is here 2024-06-26T05:06:41.6623074Z #define _GLIBCXX_USE_CXX11_ABI 0 2024-06-26T05:06:41.6624657Z ^ 2024-06-26T05:06:41.6626164Z 1 warning generated. 2024-06-26T05:06:41.7178181Z In file included from :404: 2024-06-26T05:06:41.7179180Z :12:9: warning: '_GLIBCXX_USE_CXX11_ABI' macro redefined [-Wmacro-redefined] 2024-06-26T05:06:41.7180051Z #define _GLIBCXX_USE_CXX11_ABI 1 2024-06-26T05:06:41.7180645Z ^ 2024-06-26T05:06:41.7182606Z :10:9: note: previous definition is here 2024-06-26T05:06:41.7183526Z #define _GLIBCXX_USE_CXX11_ABI 0 2024-06-26T05:06:41.7185347Z ^ 2024-06-26T05:06:41.7186485Z 1 warning generated. 2024-06-26T05:06:42.1105369Z In file included from :404: 2024-06-26T05:06:42.1106469Z :12:9: warning: '_GLIBCXX_USE_CXX11_ABI' macro redefined [-Wmacro-redefined] 2024-06-26T05:06:42.1107292Z #define _GLIBCXX_USE_CXX11_ABI 1 2024-06-26T05:06:42.1107946Z ^ 2024-06-26T05:06:42.1109817Z :10:9: note: previous definition is here 2024-06-26T05:06:42.1110858Z #define _GLIBCXX_USE_CXX11_ABI 0 2024-06-26T05:06:42.1112438Z ^ 2024-06-26T05:06:42.1113825Z 1 warning generated. 2024-06-26T05:06:42.1163049Z [100%] Linking CXX shared library libcustom_ops_aot_lib.so 2024-06-26T05:06:42.3338363Z [100%] Built target custom_ops_aot_lib 2024-06-26T05:06:42.3406237Z running build_py 2024-06-26T05:06:42.4266603Z running egg_info 2024-06-26T05:06:42.4335350Z writing executorch.egg-info/PKG-INFO 2024-06-26T05:06:42.4340212Z writing dependency_links to executorch.egg-info/dependency_links.txt 2024-06-26T05:06:42.4341563Z writing entry points to executorch.egg-info/entry_points.txt 2024-06-26T05:06:42.4344204Z writing requirements to executorch.egg-info/requires.txt 2024-06-26T05:06:42.4347684Z writing top-level names to executorch.egg-info/top_level.txt 2024-06-26T05:06:42.7314329Z reading manifest file 'executorch.egg-info/SOURCES.txt' 2024-06-26T05:06:42.7369531Z adding license file 'LICENSE' 2024-06-26T05:06:42.7486916Z writing manifest file 'executorch.egg-info/SOURCES.txt' 2024-06-26T05:06:43.6607085Z running build_ext 2024-06-26T05:06:43.6649394Z copying /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers/flatc -> /executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin 2024-06-26T05:06:43.6652050Z copying /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/examples/models/llama2/custom_ops/libcustom_ops_aot_lib.so -> /executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/custom_ops 2024-06-26T05:06:43.6656991Z copying /executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/_portable_lib.cpython-310-x86_64-linux-gnu.so -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings 2024-06-26T05:06:43.6944438Z installing to pip-out/bdist.linux-x86_64/wheel 2024-06-26T05:06:43.6944995Z running install 2024-06-26T05:06:43.6997130Z running install_lib 2024-06-26T05:06:43.7054448Z creating pip-out/bdist.linux-x86_64/wheel 2024-06-26T05:06:43.7055839Z creating pip-out/bdist.linux-x86_64/wheel/executorch 2024-06-26T05:06:43.7057124Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends 2024-06-26T05:06:43.7059199Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple 2024-06-26T05:06:43.7060701Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml 2024-06-26T05:06:43.7063354Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/compiler 2024-06-26T05:06:43.7065366Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/compiler 2024-06-26T05:06:43.7068397Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler/coreml_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/compiler 2024-06-26T05:06:43.7071087Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/executorchcoreml.pyi -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml 2024-06-26T05:06:43.7072876Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/partition 2024-06-26T05:06:43.7074880Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/partition 2024-06-26T05:06:43.7077710Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition/coreml_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/partition 2024-06-26T05:06:43.7080288Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/quantizer 2024-06-26T05:06:43.7082379Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/quantizer 2024-06-26T05:06:43.7085130Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/quantizer 2024-06-26T05:06:43.7087214Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/runtime 2024-06-26T05:06:43.7088632Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/runtime/inmemoryfs 2024-06-26T05:06:43.7090928Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/inmemoryfs/setup.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/runtime/inmemoryfs 2024-06-26T05:06:43.7092908Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/test 2024-06-26T05:06:43.7094831Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test/test_coreml_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/test 2024-06-26T05:06:43.7097620Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/test 2024-06-26T05:06:43.7099414Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps 2024-06-26T05:06:43.7101216Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps 2024-06-26T05:06:43.7103524Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/mps_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps 2024-06-26T05:06:43.7105302Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2024-06-26T05:06:43.7107174Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2024-06-26T05:06:43.7109794Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/activation_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2024-06-26T05:06:43.7112565Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/binary_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2024-06-26T05:06:43.7115162Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/clamp_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2024-06-26T05:06:43.7117824Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/constant_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2024-06-26T05:06:43.7120822Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/convolution_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2024-06-26T05:06:43.7123509Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/indexing_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2024-06-26T05:06:43.7126154Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/linear_algebra_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2024-06-26T05:06:43.7128878Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2024-06-26T05:06:43.7131389Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/normalization_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2024-06-26T05:06:43.7134231Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/op_clone.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2024-06-26T05:06:43.7136905Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/op_getitem.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2024-06-26T05:06:43.7139391Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/pad_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2024-06-26T05:06:43.7142159Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/pooling_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2024-06-26T05:06:43.7144607Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/range_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2024-06-26T05:06:43.7147251Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/reduce_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2024-06-26T05:06:43.7149942Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/shape_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2024-06-26T05:06:43.7152314Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/unary_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2024-06-26T05:06:43.7154102Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/partition 2024-06-26T05:06:43.7156023Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/partition 2024-06-26T05:06:43.7158724Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition/mps_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/partition 2024-06-26T05:06:43.7160577Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/serialization 2024-06-26T05:06:43.7162800Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization/mps_graph_schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/serialization 2024-06-26T05:06:43.7165561Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/serialization 2024-06-26T05:06:43.7168397Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization/schema.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/serialization 2024-06-26T05:06:43.7170147Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test 2024-06-26T05:06:43.7172068Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test 2024-06-26T05:06:43.7174603Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test 2024-06-26T05:06:43.7177044Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test 2024-06-26T05:06:43.7179684Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_models.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test 2024-06-26T05:06:43.7182101Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test 2024-06-26T05:06:43.7184783Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test 2024-06-26T05:06:43.7186572Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/utils 2024-06-26T05:06:43.7188346Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils/mps_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/utils 2024-06-26T05:06:43.7189897Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm 2024-06-26T05:06:43.7191523Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/arm_backend.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm 2024-06-26T05:06:43.7193600Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/arm_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm 2024-06-26T05:06:43.7195855Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/arm_vela.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm 2024-06-26T05:06:43.7197254Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2024-06-26T05:06:43.7199123Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2024-06-26T05:06:43.7201286Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2024-06-26T05:06:43.7203457Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_add.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2024-06-26T05:06:43.7205645Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_addmm.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2024-06-26T05:06:43.7208251Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2024-06-26T05:06:43.7210667Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_batch_norm.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2024-06-26T05:06:43.7213093Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_clone.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2024-06-26T05:06:43.7215491Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2024-06-26T05:06:43.7217735Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_dequant.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2024-06-26T05:06:43.7220155Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_div.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2024-06-26T05:06:43.7222452Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_get_item.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2024-06-26T05:06:43.7224746Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2024-06-26T05:06:43.7227205Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2024-06-26T05:06:43.7229468Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_permute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2024-06-26T05:06:43.7231828Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_placeholder.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2024-06-26T05:06:43.7233927Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_quant.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2024-06-26T05:06:43.7236067Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_softmax.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2024-06-26T05:06:43.7238413Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_view.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2024-06-26T05:06:43.7239936Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/quantizer 2024-06-26T05:06:43.7241533Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/quantizer 2024-06-26T05:06:43.7244121Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/arm_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/quantizer 2024-06-26T05:06:43.7246439Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/arm_quantizer_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/quantizer 2024-06-26T05:06:43.7248287Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/quantizer/quantization_annotation 2024-06-26T05:06:43.7250691Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/quantization_annotation/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/quantizer/quantization_annotation 2024-06-26T05:06:43.7253990Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/quantization_annotation/adaptive_ang_pool2d_annotator.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/quantizer/quantization_annotation 2024-06-26T05:06:43.7257683Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/quantization_annotation/add_annotator.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/quantizer/quantization_annotation 2024-06-26T05:06:43.7261453Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/quantization_annotation/conv_annotator.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/quantizer/quantization_annotation 2024-06-26T05:06:43.7264559Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/quantization_annotation/linear_annotator.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/quantizer/quantization_annotation 2024-06-26T05:06:43.7267715Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/quantization_annotation/max_pool2d_annotator.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/quantizer/quantization_annotation 2024-06-26T05:06:43.7270840Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/quantization_annotation/mul_annotator.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/quantizer/quantization_annotation 2024-06-26T05:06:43.7273617Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/quantization_config.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/quantizer 2024-06-26T05:06:43.7275291Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test 2024-06-26T05:06:43.7276906Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/common.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test 2024-06-26T05:06:43.7278589Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/misc 2024-06-26T05:06:43.7280264Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_debug_feats.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/misc 2024-06-26T05:06:43.7282104Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/models 2024-06-26T05:06:43.7283870Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/models 2024-06-26T05:06:43.7285500Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops 2024-06-26T05:06:43.7287109Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_add.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops 2024-06-26T05:06:43.7289409Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_avg_pool.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops 2024-06-26T05:06:43.7291688Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_batch_norm.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops 2024-06-26T05:06:43.7293856Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_clone.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops 2024-06-26T05:06:43.7295934Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_conv.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops 2024-06-26T05:06:43.7298197Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_conv_combos.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops 2024-06-26T05:06:43.7300457Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_depthwise_conv.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops 2024-06-26T05:06:43.7302610Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_div.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops 2024-06-26T05:06:43.7304789Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_linear.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops 2024-06-26T05:06:43.7307428Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops 2024-06-26T05:06:43.7310180Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_softmax.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops 2024-06-26T05:06:43.7312758Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_view.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops 2024-06-26T05:06:43.7314625Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tester 2024-06-26T05:06:43.7316371Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tester 2024-06-26T05:06:43.7318841Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester/arm_tester.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tester 2024-06-26T05:06:43.7320536Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tosautil 2024-06-26T05:06:43.7322307Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tosautil/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tosautil 2024-06-26T05:06:43.7324710Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tosautil/tosa_test_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tosautil 2024-06-26T05:06:43.7326273Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party 2024-06-26T05:06:43.7327476Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib 2024-06-26T05:06:43.7328950Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python 2024-06-26T05:06:43.7330786Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/serializer 2024-06-26T05:06:43.7333396Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/serializer 2024-06-26T05:06:43.7337038Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/serializer 2024-06-26T05:06:43.7339521Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7342926Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7346741Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7351204Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7355603Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7359575Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7363232Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7366769Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7370164Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7373937Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7377908Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7382763Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7386057Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7389249Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7392626Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7395743Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7399151Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7402465Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7405838Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7409253Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7412692Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7416039Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7419518Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7422978Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7426833Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7431418Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7435472Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7439654Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7443168Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7446611Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7450186Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7453632Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7457102Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7460312Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7463564Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2024-06-26T05:06:43.7465905Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/schema 2024-06-26T05:06:43.7468207Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/schema/tosa.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/schema 2024-06-26T05:06:43.7471063Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/setup.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib 2024-06-26T05:06:43.7473022Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/test 2024-06-26T05:06:43.7474601Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/test/scripts 2024-06-26T05:06:43.7477648Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/test/scripts 2024-06-26T05:06:43.7480573Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit 2024-06-26T05:06:43.7483772Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit 2024-06-26T05:06:43.7486435Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_mapping.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm 2024-06-26T05:06:43.7488588Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_quant_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm 2024-06-26T05:06:43.7490498Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm 2024-06-26T05:06:43.7491967Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence 2024-06-26T05:06:43.7492949Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot 2024-06-26T05:06:43.7494590Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot 2024-06-26T05:06:43.7497050Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/compiler.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot 2024-06-26T05:06:43.7499486Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/export_example.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot 2024-06-26T05:06:43.7501843Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/functions.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot 2024-06-26T05:06:43.7504099Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/ops_registrations.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot 2024-06-26T05:06:43.7506276Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/passes.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot 2024-06-26T05:06:43.7508336Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot/quantizer 2024-06-26T05:06:43.7510693Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/fusion_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot/quantizer 2024-06-26T05:06:43.7514886Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/patterns.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot/quantizer 2024-06-26T05:06:43.7519278Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/quantizer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot/quantizer 2024-06-26T05:06:43.7523555Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot/quantizer 2024-06-26T05:06:43.7527475Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot 2024-06-26T05:06:43.7530130Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils 2024-06-26T05:06:43.7532965Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/gen_header.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils 2024-06-26T05:06:43.7537099Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/post_compilation.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils 2024-06-26T05:06:43.7539899Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/example 2024-06-26T05:06:43.7542596Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example 2024-06-26T05:06:43.7545599Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_backend_delegate_passes 2024-06-26T05:06:43.7549438Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes/merge_to_dim_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_backend_delegate_passes 2024-06-26T05:06:43.7554764Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_backend_delegate_passes 2024-06-26T05:06:43.7558495Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators 2024-06-26T05:06:43.7561919Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/adaptive_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators 2024-06-26T05:06:43.7566340Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/add.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators 2024-06-26T05:06:43.7570671Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/conv2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators 2024-06-26T05:06:43.7575231Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/conv_relu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators 2024-06-26T05:06:43.7579698Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/dropout.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators 2024-06-26T05:06:43.7584059Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/flatten.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators 2024-06-26T05:06:43.7588443Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/linear.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators 2024-06-26T05:06:43.7592803Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/op_base.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators 2024-06-26T05:06:43.7597118Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators 2024-06-26T05:06:43.7601517Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators 2024-06-26T05:06:43.7605554Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example 2024-06-26T05:06:43.7609284Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example 2024-06-26T05:06:43.7613150Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/test_example_delegate.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example 2024-06-26T05:06:43.7615779Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm 2024-06-26T05:06:43.7617423Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/aot 2024-06-26T05:06:43.7619334Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/aot/ir 2024-06-26T05:06:43.7622287Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/aot/ir/qcir.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/aot/ir 2024-06-26T05:06:43.7625067Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7628034Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7632085Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7636107Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_add.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7640253Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7644397Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_batch_norm.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7648452Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_bmm.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7652618Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_cast.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7656595Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_cat.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7660656Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_ceil.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7664675Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_clamp.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7668683Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7672801Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_depth_to_space.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7676976Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_dequantize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7681101Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_div.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7685126Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_embedding.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7688364Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_expand.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7690898Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_gelu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7693274Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_hardsigmoid.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7695973Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7698559Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7701075Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_layer_norm.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7703635Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_linear.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7706237Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_log_softmax.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7708747Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_matmul.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7711371Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_max_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7714004Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7716721Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_mul.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7719483Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_pad.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7721920Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_pow.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7724394Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_prelu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7727027Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_quantize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7729303Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_relu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7731545Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_reshape.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7733743Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7735948Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_select_copy.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7738291Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7740532Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_skip_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7742798Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_slice_copy.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7745250Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_softmax.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7747648Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_space_to_depth.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7750038Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_split_with_sizes.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7752397Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sqrt.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7754667Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_squeeze.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7756906Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sub.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7759382Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sum_int_list.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7761849Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_tanh.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7764418Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_transpose.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7767519Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_unsqueeze.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7770079Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7772709Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_upsample_nearest2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7775374Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/qnn_constants.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7777771Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2024-06-26T05:06:43.7779526Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/partition 2024-06-26T05:06:43.7781500Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition/common_defs.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/partition 2024-06-26T05:06:43.7783916Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition/qnn_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/partition 2024-06-26T05:06:43.7786031Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7788180Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/annotate_and_quant_scalar.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7790734Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/annotate_decomposed.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7793127Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/annotate_quant_attrs.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7795749Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/convert_binary_op_with_scalar.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7798631Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/convert_bmm_to_matmul.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7801226Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/convert_interpolate_with_upsample2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7803833Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/convert_prelu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7806430Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/convert_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7809089Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/decompose_scaled_dot_product_attention.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7811888Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/decompose_silu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7814423Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/fold_qdq.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7816873Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/i64_to_i32.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7819462Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/insert_io_qdq.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7822096Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/insert_requantize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7824619Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/layout_transform.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7827401Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/recompose_pixel_shuffle.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7830046Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/recompose_pixel_unshuffle.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7833139Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/reduce_dynamic_range.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7835849Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/remove_clone.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7838871Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/replace_inf_buffer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7841982Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/passes/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes 2024-06-26T05:06:43.7844906Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/qnn_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm 2024-06-26T05:06:43.7846506Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/quantizer 2024-06-26T05:06:43.7848420Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/quantizer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/quantizer 2024-06-26T05:06:43.7851046Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/quantizer 2024-06-26T05:06:43.7853141Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/serialization 2024-06-26T05:06:43.7855882Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization/qnn_compile_spec_schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/serialization 2024-06-26T05:06:43.7859846Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization/qnn_compile_spec_serialize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/serialization 2024-06-26T05:06:43.7863576Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization/schema.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/serialization 2024-06-26T05:06:43.7866036Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/tests 2024-06-26T05:06:43.7868304Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests/models.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/tests 2024-06-26T05:06:43.7871525Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/tests 2024-06-26T05:06:43.7874644Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/tests 2024-06-26T05:06:43.7876977Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/utils 2024-06-26T05:06:43.7879215Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/utils 2024-06-26T05:06:43.7881392Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms 2024-06-26T05:06:43.7883377Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms 2024-06-26T05:06:43.7886395Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/addmm_mm_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms 2024-06-26T05:06:43.7889815Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/duplicate_dynamic_quant_chain.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms 2024-06-26T05:06:43.7893212Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/fuse_batch_norm_with_conv.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms 2024-06-26T05:06:43.7895831Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/fuse_conv_with_clamp.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms 2024-06-26T05:06:43.7898126Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/fuse_view_copy.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms 2024-06-26T05:06:43.7900502Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/i64_to_i32.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms 2024-06-26T05:06:43.7902666Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/mean_to_sum_div.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms 2024-06-26T05:06:43.7904834Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms/test 2024-06-26T05:06:43.7906929Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms/test 2024-06-26T05:06:43.7909711Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms 2024-06-26T05:06:43.7911371Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan 2024-06-26T05:06:43.7913017Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan 2024-06-26T05:06:43.7914642Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/partitioner 2024-06-26T05:06:43.7916531Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/partitioner/supported_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/partitioner 2024-06-26T05:06:43.7919312Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/partitioner/vulkan_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/partitioner 2024-06-26T05:06:43.7921182Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/passes 2024-06-26T05:06:43.7922941Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/passes/custom_ops_defs.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/passes 2024-06-26T05:06:43.7925655Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/passes/test_custom_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/passes 2024-06-26T05:06:43.7927249Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime 2024-06-26T05:06:43.7928279Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/api 2024-06-26T05:06:43.7930281Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/api/gen_vulkan_spv.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/api 2024-06-26T05:06:43.7932321Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph 2024-06-26T05:06:43.7934160Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops 2024-06-26T05:06:43.7935804Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.7938594Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.7942135Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.7945201Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.7948183Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.7951184Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.7954575Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.7957777Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.7961003Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.7964338Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.7967553Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.7970890Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.7974317Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.7977714Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.7981139Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.7984427Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.7987894Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.7991455Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.7994787Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.7998586Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8001750Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8004689Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/index_select.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8007821Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8010979Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/matmul_naive.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8014075Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/matmul_optimized.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8017834Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8022185Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8026150Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_tensor.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8030371Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8034471Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8038678Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8042311Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8045132Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8047898Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8051188Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_batch_4d.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8054249Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_3d.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8057322Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_4d.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8060478Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_3d.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8063567Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_4d.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8066574Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_3d.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8069418Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_4d.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8072512Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/slice_batch_height_width.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8075731Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/slice_channel.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8079070Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/softmax_batch_height_width.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8083086Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/softmax_channel.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8086262Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/sum_dim.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8089419Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/sum_dim_keepdim.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8092367Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/tensor_to_nchw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8095402Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8098460Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_nearest2d.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8101470Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2024-06-26T05:06:43.8103367Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/serialization 2024-06-26T05:06:43.8105153Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization/schema.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/serialization 2024-06-26T05:06:43.8108067Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization/vulkan_graph_builder.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/serialization 2024-06-26T05:06:43.8110692Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization/vulkan_graph_schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/serialization 2024-06-26T05:06:43.8113361Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization/vulkan_graph_serialize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/serialization 2024-06-26T05:06:43.8115177Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test 2024-06-26T05:06:43.8116170Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/glsl 2024-06-26T05:06:43.8118149Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl/all_shaders.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/glsl 2024-06-26T05:06:43.8119965Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/op_tests 2024-06-26T05:06:43.8122418Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/cases.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/op_tests 2024-06-26T05:06:43.8125735Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/generate_op_tests.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/op_tests 2024-06-26T05:06:43.8127622Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/op_tests/utils 2024-06-26T05:06:43.8129524Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/codegen.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/op_tests/utils 2024-06-26T05:06:43.8132236Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/codegen_base.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/op_tests/utils 2024-06-26T05:06:43.8134596Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/test_serialization.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test 2024-06-26T05:06:43.8137089Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/test_vulkan_delegate.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test 2024-06-26T05:06:43.8139751Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/test_vulkan_delegate_header.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test 2024-06-26T05:06:43.8141402Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party 2024-06-26T05:06:43.8142643Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers 2024-06-26T05:06:43.8144212Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2024-06-26T05:06:43.8146926Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2024-06-26T05:06:43.8150353Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2024-06-26T05:06:43.8153634Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2024-06-26T05:06:43.8156921Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2024-06-26T05:06:43.8160107Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2024-06-26T05:06:43.8163483Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2024-06-26T05:06:43.8165997Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools 2024-06-26T05:06:43.8169551Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools 2024-06-26T05:06:43.8172742Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2024-06-26T05:06:43.8174992Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator 2024-06-26T05:06:43.8176454Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools 2024-06-26T05:06:43.8178046Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis 2024-06-26T05:06:43.8180821Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis 2024-06-26T05:06:43.8183164Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/volk 2024-06-26T05:06:43.8185090Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/volk/generate.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/volk 2024-06-26T05:06:43.8187607Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/vulkan_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan 2024-06-26T05:06:43.8189148Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack 2024-06-26T05:06:43.8191089Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack 2024-06-26T05:06:43.8193061Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8194722Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8196925Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8199394Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_abs.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8201888Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_add.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8204565Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_addmm.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8207175Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_avg_pooling2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8210510Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_cat.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8213467Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_ceiling.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8216162Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_clamp.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8220153Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8224391Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_dequantize_per_tensor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8228567Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_div.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8232750Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8237060Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8241286Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_elu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8245296Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_floor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8249349Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8253642Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8257728Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_leaky_relu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8261873Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_linear.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8266077Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_matrix_multiplication.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8270292Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_max_dim.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8274373Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_max_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8278540Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_maximum.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8282594Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8286668Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_minimum.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8290852Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_multiply.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8294187Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_negate.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8297585Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_permute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8301548Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_prelu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8305382Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_quantize_per_tensor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8309398Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_relu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8312765Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8315505Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8317844Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_skip_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8320465Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_slice_copy.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8322984Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_softmax.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8325432Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_square.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8327946Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_square_root.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8330330Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_squeeze.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8332818Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_static_constant_pad.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8335399Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8337782Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_sub.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8340264Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_to_copy.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8342607Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/quant_params.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2024-06-26T05:06:43.8344330Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition 2024-06-26T05:06:43.8346287Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/configs.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition 2024-06-26T05:06:43.8348031Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition/graphs 2024-06-26T05:06:43.8350059Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs/bilinear_2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition/graphs 2024-06-26T05:06:43.8352668Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs/sdpa.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition/graphs 2024-06-26T05:06:43.8355086Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition 2024-06-26T05:06:43.8356715Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes 2024-06-26T05:06:43.8358460Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes 2024-06-26T05:06:43.8360883Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/passes/channels_last_tagged_reshape_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes 2024-06-26T05:06:43.8363267Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/passes/conv1d_unsqueeze_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes 2024-06-26T05:06:43.8365637Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/passes/convert_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes 2024-06-26T05:06:43.8367853Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/passes/convert_to_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes 2024-06-26T05:06:43.8370267Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/passes/convert_to_upsample_bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes 2024-06-26T05:06:43.8372567Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/passes/fuse_activation_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes 2024-06-26T05:06:43.8375335Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/passes/fuse_batch_norm_with_conv.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes 2024-06-26T05:06:43.8378415Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/passes/prelu_reshape_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes 2024-06-26T05:06:43.8382096Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/passes/remove_getitem_op.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes 2024-06-26T05:06:43.8385402Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/passes/tag_implicit_q_dq_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes 2024-06-26T05:06:43.8388564Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/passes/xnnpack_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes 2024-06-26T05:06:43.8391172Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/serialization 2024-06-26T05:06:43.8393915Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/serialization 2024-06-26T05:06:43.8397131Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization/schema.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/serialization 2024-06-26T05:06:43.8401060Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/serialization 2024-06-26T05:06:43.8404786Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/serialization 2024-06-26T05:06:43.8407017Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test 2024-06-26T05:06:43.8408427Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models 2024-06-26T05:06:43.8410909Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/deeplab_v3.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models 2024-06-26T05:06:43.8413773Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/edsr.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models 2024-06-26T05:06:43.8416707Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models 2024-06-26T05:06:43.8419842Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/inception_v3.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models 2024-06-26T05:06:43.8422877Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/inception_v4.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models 2024-06-26T05:06:43.8425968Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/llama2_et_example.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models 2024-06-26T05:06:43.8428530Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/mobilebert.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models 2024-06-26T05:06:43.8431266Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models 2024-06-26T05:06:43.8433676Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models 2024-06-26T05:06:43.8436289Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/resnet.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models 2024-06-26T05:06:43.8438773Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/torchvision_vit.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models 2024-06-26T05:06:43.8441239Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/very_big_model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models 2024-06-26T05:06:43.8443618Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/w2l.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models 2024-06-26T05:06:43.8445206Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8447027Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/abs.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8449317Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/add.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8451652Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/avgpool2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8454581Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8457973Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/cat.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8460733Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/ceil.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8462981Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/clamp.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8465163Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/conv1d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8467276Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/conv2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8469607Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/div.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8471877Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/elu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8474495Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/floor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8476871Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/hardswish.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8479559Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8504297Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/leaky_relu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8508331Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/linear.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8512519Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/max_dim.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8516502Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/maximum.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8520696Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/maxpool2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8524744Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8528792Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/minimum.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8537757Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/multiply.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8542679Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/negate.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8547219Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/permute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8551500Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/pow.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8555581Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/prelu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8559796Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/quantize_per_tensor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8563828Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/relu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8567670Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/sdpa.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8571542Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8575477Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/slice_copy.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8579447Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/softmax.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8583402Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/sqrt.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8587258Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/square.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8591295Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/static_constant_pad.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8595291Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/sub.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2024-06-26T05:06:43.8598187Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/passes 2024-06-26T05:06:43.8601569Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_activation_fusion.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/passes 2024-06-26T05:06:43.8605947Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/passes 2024-06-26T05:06:43.8610465Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/passes 2024-06-26T05:06:43.8614967Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_convert_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/passes 2024-06-26T05:06:43.8619413Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/passes 2024-06-26T05:06:43.8623950Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/passes 2024-06-26T05:06:43.8627138Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/serialization 2024-06-26T05:06:43.8630578Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization/test_serialization.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/serialization 2024-06-26T05:06:43.8635529Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization/test_xnnheader.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/serialization 2024-06-26T05:06:43.8639932Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test 2024-06-26T05:06:43.8643869Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test 2024-06-26T05:06:43.8646760Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/tester 2024-06-26T05:06:43.8649770Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/tester 2024-06-26T05:06:43.8653793Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester/tester.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/tester 2024-06-26T05:06:43.8656702Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party 2024-06-26T05:06:43.8658588Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16 2024-06-26T05:06:43.8661866Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/configure.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16 2024-06-26T05:06:43.8666204Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/confu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16 2024-06-26T05:06:43.8669356Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16/include 2024-06-26T05:06:43.8671614Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16/include/fp16 2024-06-26T05:06:43.8675283Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16/include/fp16 2024-06-26T05:06:43.8680503Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16/avx.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16/include/fp16 2024-06-26T05:06:43.8685380Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16/avx2.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16/include/fp16 2024-06-26T05:06:43.8688829Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16/test 2024-06-26T05:06:43.8691016Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16/test/peachpy 2024-06-26T05:06:43.8694726Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/test/peachpy/stubs.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16/test/peachpy 2024-06-26T05:06:43.8698105Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FXdiv 2024-06-26T05:06:43.8701436Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv/configure.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FXdiv 2024-06-26T05:06:43.8705828Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv/confu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FXdiv 2024-06-26T05:06:43.8708995Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK 2024-06-26T05:06:43.8711090Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/eval 2024-06-26T05:06:43.8714835Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/eval/f16-tanh.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/eval 2024-06-26T05:06:43.8719755Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/eval/f32-tanh.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/eval 2024-06-26T05:06:43.8723241Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2024-06-26T05:06:43.8727092Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts/convert-assembly-to-jit.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2024-06-26T05:06:43.8732296Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2024-06-26T05:06:43.8735845Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/src 2024-06-26T05:06:43.8738085Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/src/enums 2024-06-26T05:06:43.8741988Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/src/enums/microkernel-type.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/src/enums 2024-06-26T05:06:43.8747200Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/src/enums/node-type.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/src/enums 2024-06-26T05:06:43.8752376Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/src/enums/operator-type.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/src/enums 2024-06-26T05:06:43.8756020Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8759790Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8764878Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/cs16-bfly4.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8769701Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/cs16-fftr.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8774616Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/cs16-vsquareabs.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8779711Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-avgpool-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8784725Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8789873Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv-minmax-multipass.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8795137Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv-minmax-unipass.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8800597Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8805560Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32-vcvt.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8810587Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8815741Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8820846Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8825804Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gavgpool-cw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8830844Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gavgpool-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8835810Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-jit.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8840841Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8845798Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8850961Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8855883Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-jit.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8860915Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8865932Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-maxpool-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8870998Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-pavgpool-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8875940Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-prelu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8881513Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-qs8-vcvt.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8886785Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8891809Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8896594Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8901457Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8906272Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8911173Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8916069Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vabs.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8921060Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vadd-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8926054Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vaddc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8930972Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vclamp.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8936030Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vcmul.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8940997Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vdiv-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8945985Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vdivc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8950894Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-velu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8955685Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vhswish.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8960681Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vlrelu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8965491Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8970269Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmaxc.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8975261Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmin.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8980161Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vminc.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8985050Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmul-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8990026Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.8995061Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9000159Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vneg.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9005084Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vrdivc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9009987Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vrndd.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9014815Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vrndne.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9019712Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vrndu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9024684Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vrndz.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9029597Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vrsubc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9034540Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsigmoid.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9039499Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsqr.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9044352Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsqrdiff.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9049257Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsqrdiffc.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9054120Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsqrt.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9059204Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsub-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9064204Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsubc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9069114Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vtanh.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9074013Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9079157Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-avgpool-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9084129Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9089063Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9094235Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv-minmax-multipass.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9099519Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv-minmax-unipass.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9104765Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv-multipass.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9110043Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv-unipass.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9115080Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9120122Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-f16-vcvt.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9125061Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gavgpool-cw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9130076Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gavgpool-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9135151Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9140228Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-jit.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9145382Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9150323Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9155157Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9160200Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9165259Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9170234Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9175129Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-jit.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9180150Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9185143Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9190012Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9195112Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-maxpool-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9200290Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-pavgpool-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9205327Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9210243Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-prelu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9215220Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9220385Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9225451Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9230635Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9235538Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qs8-vcvt.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9240533Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qu8-vcvt.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9245533Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9250513Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9255621Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9260684Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9265448Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9270261Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9275092Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9280245Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9285111Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vabs.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9289989Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vadd-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9294951Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vadd-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9299890Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vadd.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9304790Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vaddc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9309746Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vaddc-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9314778Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vaddc.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9319722Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vclamp.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9324562Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vcmul.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9329458Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vdiv-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9334380Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vdiv-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9339229Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vdiv.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9344213Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vdivc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9349178Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vdivc-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9354070Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vdivc.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9358956Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-velu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9363937Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vhswish.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9368778Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vlrelu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9373586Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9378371Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmaxc.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9383230Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmin.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9388054Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vminc.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9392924Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmul-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9397991Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmul-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9402998Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmul.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9407904Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9412881Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulc-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9417762Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulc.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9422795Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9427733Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vneg.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9432635Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrdivc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9437631Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrdivc-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9442650Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrdivc.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9447466Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrelu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9452444Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrndd.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9457293Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrndne.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9462188Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrndu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9466971Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrndz.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9471798Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrsqrt.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9476712Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrsubc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9481828Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrsubc-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9486894Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrsubc.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9491879Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9495842Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9499960Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsigmoid.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9503527Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsqr.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9508013Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsqrdiff.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9511540Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsqrdiffc.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9515364Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsqrt.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9519219Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsub-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9522237Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsub-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9525903Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsub.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9529469Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsubc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9533037Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsubc-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9537334Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsubc.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9540232Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vtanh.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9544601Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/i16-vlshift.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9548356Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9552179Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9555310Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9558389Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9561242Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9564296Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-igemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9567254Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs16-qs8-vcvt.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9570232Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-dwconv-minmax-multipass-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9573377Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-dwconv-minmax-multipass-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9576540Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-dwconv-minmax-unipass-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9579779Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-dwconv-minmax-unipass-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9582861Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-f16-vcvt.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9585614Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-f32-vcvt.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9588451Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-gavgpool-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9591349Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-gavgpool-minmax-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9594177Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-dwconv-minmax-multipass-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9597398Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-dwconv-minmax-unipass-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9600417Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-jit-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9603512Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9606455Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-jit-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9609369Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9612409Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vadd-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9615231Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vaddc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9617737Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vcvt.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9620558Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vhswish.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9623495Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vlrelu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9626352Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vmul-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9629400Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vmul-minmax-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9632627Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vmulc-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9635689Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vmulc-minmax-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9638995Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-avgpool-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9642288Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-dwconv-minmax-multipass-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9645345Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-dwconv-minmax-multipass-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9648908Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-dwconv-minmax-unipass-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9652792Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-dwconv-minmax-unipass-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9656557Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-f32-vcvt.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9660414Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gavgpool-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9664000Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gavgpool-minmax-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9667733Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9671988Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9676955Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9681657Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9684404Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vadd-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9687163Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vaddc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9689926Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vcvt.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9692511Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vhswish.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9695107Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vlrelu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9697830Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vmul-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9700648Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vmul-minmax-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9703401Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vmulc-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9706147Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vmulc-minmax-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9708809Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/s16-rmaxabs.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9711495Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/s16-window.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9714097Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9716735Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/s8-maxpool-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9719502Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/s8-vclamp.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9722205Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/u32-filterbank-accumulate.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9724969Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/u32-filterbank-subtract.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9727611Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/u32-vlog.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9730236Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/u64-u32-vsqrtshift.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9732890Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9735558Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9738192Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-maxpool-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9740906Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9743479Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-vclamp.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9746060Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/x16-packw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9748659Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/x16-transpose.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9751273Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/x24-transpose.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9753845Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/x32-packb.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9756494Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/x32-packw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9759153Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/x32-packx.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9761755Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/x32-transpose.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9764265Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/x32-zerob.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9766940Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/x64-transpose.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9769520Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9772275Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/x8-packw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9776101Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/x8-transpose.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9780453Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/xx-fill.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9783142Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/xx-pad.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9785792Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/xx-transposev.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2024-06-26T05:06:43.9787581Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9789690Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/check-assembly-and-jit-microkernels-in-sync.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9792501Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/dump-jit-output.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9795297Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9798221Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-avgpool-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9801144Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-bfly4-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9803802Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9806746Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9809516Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9812296Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9815235Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9817934Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-enum.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9820587Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-fftr-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9823343Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-fill-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9826133Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-filterbank-accumulate-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9829263Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-filterbank-subtract-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9832236Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gavgpool-cw-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9835102Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gavgpool-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9837976Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9840966Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9845526Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9850539Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9854598Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9859075Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-maxpool-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9862840Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-pack-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9867467Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-packb-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9871186Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-packw-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9873938Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-pad-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9876558Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-prelu-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9880541Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9884813Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9890189Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9895256Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9900441Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rmaxabs-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9905455Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9910422Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-tanh-eval.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9915511Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-transpose-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9920771Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9925864Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vcvt-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9930899Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vhswish-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9936016Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vlog-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9941173Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vlrelu-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9946168Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vlshift-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9951359Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9956689Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9962176Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9967396Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vsquareabs-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9972654Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-benchmark.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9977287Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9981374Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-window-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9985103Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/primes.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9988771Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9993297Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/xngen.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9996062Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2024-06-26T05:06:43.9997815Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo 2024-06-26T05:06:43.9999659Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/configure.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo 2024-06-26T05:06:44.0003138Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/confu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo 2024-06-26T05:06:44.0006048Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo/deps 2024-06-26T05:06:44.0008199Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog 2024-06-26T05:06:44.0010253Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/configure.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog 2024-06-26T05:06:44.0012857Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/confu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog 2024-06-26T05:06:44.0015611Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2024-06-26T05:06:44.0018822Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2024-06-26T05:06:44.0021820Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2024-06-26T05:06:44.0024613Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2024-06-26T05:06:44.0028236Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party 2024-06-26T05:06:44.0031514Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/generate-xnnpack-wrappers.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party 2024-06-26T05:06:44.0034238Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/pthreadpool 2024-06-26T05:06:44.0036366Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool/configure.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/pthreadpool 2024-06-26T05:06:44.0039053Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool/confu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/pthreadpool 2024-06-26T05:06:44.0041765Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/utils 2024-06-26T05:06:44.0043334Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils/configs.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/utils 2024-06-26T05:06:44.0046422Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils/quant_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/utils 2024-06-26T05:06:44.0048420Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/utils 2024-06-26T05:06:44.0050406Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils/xnnpack_constants.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/utils 2024-06-26T05:06:44.0052387Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/xnnpack_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack 2024-06-26T05:06:44.0053645Z creating pip-out/bdist.linux-x86_64/wheel/executorch/data 2024-06-26T05:06:44.0054324Z creating pip-out/bdist.linux-x86_64/wheel/executorch/data/bin 2024-06-26T05:06:44.0055480Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/data/bin 2024-06-26T05:06:44.0057136Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/flatc -> pip-out/bdist.linux-x86_64/wheel/executorch/data/bin 2024-06-26T05:06:44.0058216Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples 2024-06-26T05:06:44.0058976Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models 2024-06-26T05:06:44.0060370Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models 2024-06-26T05:06:44.0062620Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/deeplab_v3 2024-06-26T05:06:44.0064419Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/deeplab_v3 2024-06-26T05:06:44.0066427Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/deeplab_v3 2024-06-26T05:06:44.0067839Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/edsr 2024-06-26T05:06:44.0069218Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/edsr 2024-06-26T05:06:44.0072157Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/edsr 2024-06-26T05:06:44.0073692Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/emformer_rnnt 2024-06-26T05:06:44.0075263Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/emformer_rnnt 2024-06-26T05:06:44.0077322Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/emformer_rnnt 2024-06-26T05:06:44.0078915Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/inception_v3 2024-06-26T05:06:44.0080465Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/inception_v3 2024-06-26T05:06:44.0082521Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/inception_v3 2024-06-26T05:06:44.0084120Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/inception_v4 2024-06-26T05:06:44.0085657Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/inception_v4 2024-06-26T05:06:44.0087699Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/inception_v4 2024-06-26T05:06:44.0089134Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2 2024-06-26T05:06:44.0090551Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2 2024-06-26T05:06:44.0092464Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/builder.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2 2024-06-26T05:06:44.0093925Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/custom_ops 2024-06-26T05:06:44.0095908Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/custom_ops/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/custom_ops 2024-06-26T05:06:44.0099094Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/custom_ops/libcustom_ops_aot_lib.so -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/custom_ops 2024-06-26T05:06:44.0102120Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/custom_ops/sdpa_with_kv_cache.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/custom_ops 2024-06-26T05:06:44.0106138Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/custom_ops/test_sdpa_with_kv_cache.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/custom_ops 2024-06-26T05:06:44.0108432Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/eval_llama.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2 2024-06-26T05:06:44.0111092Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/eval_llama_lib.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2 2024-06-26T05:06:44.0113196Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/evaluate 2024-06-26T05:06:44.0115848Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/evaluate/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/evaluate 2024-06-26T05:06:44.0119288Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/evaluate/eager_eval.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/evaluate 2024-06-26T05:06:44.0121916Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/experimental 2024-06-26T05:06:44.0123958Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/experimental/generate.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/experimental 2024-06-26T05:06:44.0126567Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/experimental/load_gguf_q4_0.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/experimental 2024-06-26T05:06:44.0128930Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/experimental/subclass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/experimental 2024-06-26T05:06:44.0131280Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/experimental/test_subclass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/experimental 2024-06-26T05:06:44.0133732Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/export_llama.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2 2024-06-26T05:06:44.0136004Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/export_llama_lib.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2 2024-06-26T05:06:44.0139723Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/fairseq2.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2 2024-06-26T05:06:44.0143312Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/install_requirement_helper.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2 2024-06-26T05:06:44.0145883Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/lib 2024-06-26T05:06:44.0148576Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/lib/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/lib 2024-06-26T05:06:44.0151642Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/lib/partitioner_lib.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/lib 2024-06-26T05:06:44.0155147Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/lib/quant_lib.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/lib 2024-06-26T05:06:44.0158913Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/llama_test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2 2024-06-26T05:06:44.0162350Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/llama_transformer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2 2024-06-26T05:06:44.0165887Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2 2024-06-26T05:06:44.0168413Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/runner 2024-06-26T05:06:44.0171073Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/runner/generation.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/runner 2024-06-26T05:06:44.0173724Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/source_transformation 2024-06-26T05:06:44.0176599Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/source_transformation/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/source_transformation 2024-06-26T05:06:44.0180390Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/source_transformation/quantize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/source_transformation 2024-06-26T05:06:44.0184564Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/source_transformation/rope.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/source_transformation 2024-06-26T05:06:44.0188749Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/source_transformation/sdpa.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/source_transformation 2024-06-26T05:06:44.0191612Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/tests 2024-06-26T05:06:44.0194247Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/tests/test_simple_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/tests 2024-06-26T05:06:44.0196916Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party 2024-06-26T05:06:44.0199064Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/abseil-cpp 2024-06-26T05:06:44.0201206Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/abseil-cpp/absl 2024-06-26T05:06:44.0205143Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/third-party/abseil-cpp/absl/abseil.podspec.gen.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/abseil-cpp/absl 2024-06-26T05:06:44.0208412Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/abseil-cpp/absl/copts 2024-06-26T05:06:44.0212216Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/third-party/abseil-cpp/absl/copts/copts.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/abseil-cpp/absl/copts 2024-06-26T05:06:44.0217004Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/third-party/abseil-cpp/absl/copts/generate_copts.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/abseil-cpp/absl/copts 2024-06-26T05:06:44.0221771Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/third-party/abseil-cpp/conanfile.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/abseil-cpp 2024-06-26T05:06:44.0225996Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/third-party/abseil-cpp/create_lts.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/abseil-cpp 2024-06-26T05:06:44.0229065Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2 2024-06-26T05:06:44.0231191Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/benchlog 2024-06-26T05:06:44.0234324Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/third-party/re2/benchlog/benchplot.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/benchlog 2024-06-26T05:06:44.0236243Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/python 2024-06-26T05:06:44.0239297Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/third-party/re2/python/re2.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/python 2024-06-26T05:06:44.0243055Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/third-party/re2/python/re2_test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/python 2024-06-26T05:06:44.0245636Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/third-party/re2/python/setup.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/python 2024-06-26T05:06:44.0247456Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/re2 2024-06-26T05:06:44.0249378Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/third-party/re2/re2/make_unicode_casefold.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/re2 2024-06-26T05:06:44.0253006Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/third-party/re2/re2/make_unicode_groups.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/re2 2024-06-26T05:06:44.0256840Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/third-party/re2/re2/unicode.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/re2 2024-06-26T05:06:44.0259382Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/tokenizer 2024-06-26T05:06:44.0262095Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/tokenizer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/tokenizer 2024-06-26T05:06:44.0263707Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/tokenizer/test 2024-06-26T05:06:44.0266009Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/tokenizer/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/tokenizer/test 2024-06-26T05:06:44.0269101Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/tokenizer/test/test_tokenizer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/tokenizer/test 2024-06-26T05:06:44.0272412Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/tokenizer/tiktoken.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/tokenizer 2024-06-26T05:06:44.0275813Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama2/tokenizer/tokenizer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/tokenizer 2024-06-26T05:06:44.0278429Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llava_encoder 2024-06-26T05:06:44.0280929Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava_encoder/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llava_encoder 2024-06-26T05:06:44.0283987Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava_encoder/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llava_encoder 2024-06-26T05:06:44.0286426Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilebert 2024-06-26T05:06:44.0288907Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilebert 2024-06-26T05:06:44.0292082Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilebert 2024-06-26T05:06:44.0294015Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilenet_v2 2024-06-26T05:06:44.0296927Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilenet_v2 2024-06-26T05:06:44.0299055Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilenet_v2 2024-06-26T05:06:44.0301590Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilenet_v3 2024-06-26T05:06:44.0303450Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilenet_v3 2024-06-26T05:06:44.0306252Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilenet_v3 2024-06-26T05:06:44.0309236Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/model_base.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models 2024-06-26T05:06:44.0311164Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/model_factory.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models 2024-06-26T05:06:44.0313446Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini 2024-06-26T05:06:44.0315095Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini/export_model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini 2024-06-26T05:06:44.0316654Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini/third-party 2024-06-26T05:06:44.0318923Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini/third-party/sentencepiece 2024-06-26T05:06:44.0321230Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini/third-party/sentencepiece/python 2024-06-26T05:06:44.0325094Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/setup.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini/third-party/sentencepiece/python 2024-06-26T05:06:44.0328628Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/src 2024-06-26T05:06:44.0331160Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/src/sentencepiece 2024-06-26T05:06:44.0335738Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/src/sentencepiece/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/src/sentencepiece 2024-06-26T05:06:44.0341489Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/src/sentencepiece/_version.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/src/sentencepiece 2024-06-26T05:06:44.0347148Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_model_pb2.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/src/sentencepiece 2024-06-26T05:06:44.0352762Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_pb2.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/src/sentencepiece 2024-06-26T05:06:44.0356884Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/test 2024-06-26T05:06:44.0360634Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/test 2024-06-26T05:06:44.0365522Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/test/sentencepiece_test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/test 2024-06-26T05:06:44.0368782Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/resnet 2024-06-26T05:06:44.0370992Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/resnet 2024-06-26T05:06:44.0373886Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/resnet 2024-06-26T05:06:44.0375396Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/torchvision_vit 2024-06-26T05:06:44.0378045Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/torchvision_vit 2024-06-26T05:06:44.0381927Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/torchvision_vit 2024-06-26T05:06:44.0384435Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/toy_model 2024-06-26T05:06:44.0386872Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/toy_model 2024-06-26T05:06:44.0389915Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/toy_model 2024-06-26T05:06:44.0392263Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/wav2letter 2024-06-26T05:06:44.0394107Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/wav2letter 2024-06-26T05:06:44.0396369Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/wav2letter 2024-06-26T05:06:44.0398012Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0399966Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0401487Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize 2024-06-26T05:06:44.0403656Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize 2024-06-26T05:06:44.0406062Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_cord.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize 2024-06-26T05:06:44.0408831Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_dataclass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize 2024-06-26T05:06:44.0411945Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_flatbuffer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize 2024-06-26T05:06:44.0414672Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_program.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize 2024-06-26T05:06:44.0417617Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/program.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize 2024-06-26T05:06:44.0420641Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize 2024-06-26T05:06:44.0422897Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize/test 2024-06-26T05:06:44.0425223Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize/test 2024-06-26T05:06:44.0428581Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/test_cord.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize/test 2024-06-26T05:06:44.0431550Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/test_flatbuffer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize/test 2024-06-26T05:06:44.0434649Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/test_program.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize/test 2024-06-26T05:06:44.0436678Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend 2024-06-26T05:06:44.0438853Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/backend_api.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend 2024-06-26T05:06:44.0442022Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/backend_details.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend 2024-06-26T05:06:44.0444388Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/canonical_partitioners 2024-06-26T05:06:44.0447173Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/canonical_partitioners 2024-06-26T05:06:44.0450657Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/canonical_partitioners 2024-06-26T05:06:44.0454994Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/canonical_partitioners 2024-06-26T05:06:44.0458269Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/compile_spec_schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend 2024-06-26T05:06:44.0461360Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend 2024-06-26T05:06:44.0463451Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test 2024-06-26T05:06:44.0465864Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/backend_with_compiler_demo.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test 2024-06-26T05:06:44.0469450Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test 2024-06-26T05:06:44.0471954Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos 2024-06-26T05:06:44.0473199Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos/rpc 2024-06-26T05:06:44.0474968Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos/rpc 2024-06-26T05:06:44.0477318Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos/rpc 2024-06-26T05:06:44.0480472Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc/test_rpc.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos/rpc 2024-06-26T05:06:44.0483857Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos 2024-06-26T05:06:44.0486922Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos 2024-06-26T05:06:44.0490049Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/hta_partitioner_demo.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test 2024-06-26T05:06:44.0493626Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/op_partitioner_demo.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test 2024-06-26T05:06:44.0497030Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/qnn_backend_demo.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test 2024-06-26T05:06:44.0500273Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_backends.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test 2024-06-26T05:06:44.0503654Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_backends_lifted.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test 2024-06-26T05:06:44.0507057Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_backends_nested.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test 2024-06-26T05:06:44.0509601Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_debug_handle_map.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test 2024-06-26T05:06:44.0512362Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_delegate_map_builder.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test 2024-06-26T05:06:44.0514357Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_graph_partition.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test 2024-06-26T05:06:44.0516352Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_lowered_backend_module.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test 2024-06-26T05:06:44.0518550Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test 2024-06-26T05:06:44.0520438Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_passes.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test 2024-06-26T05:06:44.0522280Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test 2024-06-26T05:06:44.0524381Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend 2024-06-26T05:06:44.0526312Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/capture 2024-06-26T05:06:44.0527555Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/capture 2024-06-26T05:06:44.0530280Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_capture.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/capture 2024-06-26T05:06:44.0533063Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_config.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/capture 2024-06-26T05:06:44.0535578Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_unlift.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/capture 2024-06-26T05:06:44.0537845Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/common.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0539827Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/control_flow.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0541910Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/delegate.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0543982Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects 2024-06-26T05:06:44.0546357Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects 2024-06-26T05:06:44.0548732Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects 2024-06-26T05:06:44.0551056Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend 2024-06-26T05:06:44.0553686Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend 2024-06-26T05:06:44.0556169Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend/test 2024-06-26T05:06:44.0559212Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/test/test_backend_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend/test 2024-06-26T05:06:44.0561329Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge 2024-06-26T05:06:44.0562686Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge 2024-06-26T05:06:44.0564170Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/arg 2024-06-26T05:06:44.0565948Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/arg 2024-06-26T05:06:44.0568111Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg/type.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/arg 2024-06-26T05:06:44.0569744Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/dtype 2024-06-26T05:06:44.0571855Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype/runner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/dtype 2024-06-26T05:06:44.0575823Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype/supported.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/dtype 2024-06-26T05:06:44.0579769Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/dtype 2024-06-26T05:06:44.0583425Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/edge.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge 2024-06-26T05:06:44.0585979Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op 2024-06-26T05:06:44.0588638Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/api.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op 2024-06-26T05:06:44.0592338Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/sample_input.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op 2024-06-26T05:06:44.0595090Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op/test 2024-06-26T05:06:44.0598126Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/test/test_api.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op/test 2024-06-26T05:06:44.0600899Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/spec 2024-06-26T05:06:44.0603626Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec/gen.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/spec 2024-06-26T05:06:44.0607529Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/spec 2024-06-26T05:06:44.0610207Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/test 2024-06-26T05:06:44.0613041Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test/test_edge_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/test 2024-06-26T05:06:44.0616958Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test/test_edge_yaml.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/test 2024-06-26T05:06:44.0619734Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/test 2024-06-26T05:06:44.0622466Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/test/test_exir_dialect_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/test 2024-06-26T05:06:44.0625809Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dim_order_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0628753Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dynamic_shape.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0630862Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit 2024-06-26T05:06:44.0633079Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit 2024-06-26T05:06:44.0636115Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/_emit_program.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit 2024-06-26T05:06:44.0639305Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/_emitter.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit 2024-06-26T05:06:44.0641507Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit/test 2024-06-26T05:06:44.0643952Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/test/test_emit.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit/test 2024-06-26T05:06:44.0646950Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/error.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0649668Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/graph.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0652687Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/graph_module.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0655706Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/lowered_backend_module.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0658642Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/memory.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0661619Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/memory_planning.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0664592Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator 2024-06-26T05:06:44.0666991Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/convert.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator 2024-06-26T05:06:44.0670209Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/manip.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator 2024-06-26T05:06:44.0672567Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator/test 2024-06-26T05:06:44.0675196Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/test/test_operator.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator/test 2024-06-26T05:06:44.0678063Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/util.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator 2024-06-26T05:06:44.0679834Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/pass_base.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0682265Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/pass_manager.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0683873Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0686145Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0689513Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/_quant_patterns_and_replacements.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0692715Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/const_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0694862Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/constant_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0697590Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/debug_handle_generator_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0700498Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/dim_order_ops_registry.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0703425Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/dynamic_shape_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0706169Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/executorch_prim_ops_registry.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0709663Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0712780Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/memory_format_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0714856Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/memory_planning_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0717965Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/normalize_transpose_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0720954Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/normalize_view_copy_base_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0724428Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/pass_registry.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0727612Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/quant_fusion_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0730894Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/remove_graph_asserts_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0733813Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/remove_mixed_type_operators.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0735685Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/remove_noop_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0738584Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_aten_with_edge_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0742379Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0746041Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_edge_with_backend_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0749590Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_sym_size_op_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0752449Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_view_copy_with_view_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0755716Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/scalar_to_tensor_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0759013Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/spec_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0762282Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/sym_shape_eval_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0764867Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/sym_to_tensor_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2024-06-26T05:06:44.0767830Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/print_program.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0769917Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/program 2024-06-26T05:06:44.0772238Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/program 2024-06-26T05:06:44.0775457Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/_fake_program.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/program 2024-06-26T05:06:44.0778654Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/_program.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/program 2024-06-26T05:06:44.0781055Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/program/test 2024-06-26T05:06:44.0783580Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/program/test 2024-06-26T05:06:44.0787332Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test/test_fake_program.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/program/test 2024-06-26T05:06:44.0790984Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test/test_program.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/program/test 2024-06-26T05:06:44.0794204Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/scalar_type.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0796152Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0798224Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/serde 2024-06-26T05:06:44.0800358Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/serde 2024-06-26T05:06:44.0803341Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/export_serialize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/serde 2024-06-26T05:06:44.0806543Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/serde 2024-06-26T05:06:44.0809656Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/serialize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/serde 2024-06-26T05:06:44.0812564Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/sym_util.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0815317Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tensor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0817526Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0819879Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/asr_joiner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0822941Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/common.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0826188Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/control_flow_models.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0829578Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/dynamic_shape_models.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0832800Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/models.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0835983Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_arg_validator.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0839357Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_capture.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0842517Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_common.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0845696Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_delegate.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0848968Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_dim_order_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0852449Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_dynamic_shape_propagation.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0854295Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_error.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0857053Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0859389Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass_aten.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0861589Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0863658Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_planning.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0865742Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_op_convert.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0867859Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_pass_infra.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0869845Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_passes.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0871954Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_print_program.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0873714Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_quant_fusion_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0875966Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_quantization.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0878376Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_remove_view_copy.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0880192Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_serde.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0881838Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_tensor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0883855Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_tracer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0885546Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_verification.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0887573Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/transformer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2024-06-26T05:06:44.0889471Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tracer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0890913Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/types.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0892289Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification 2024-06-26T05:06:44.0893768Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/arg_validator.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification 2024-06-26T05:06:44.0895959Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/dev_html.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification 2024-06-26T05:06:44.0897797Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/interpreter.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification 2024-06-26T05:06:44.0899213Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification/test 2024-06-26T05:06:44.0901069Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/test/test_verifier.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification/test 2024-06-26T05:06:44.0903001Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/verifier.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification 2024-06-26T05:06:44.0905050Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/version.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0906638Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/wrap.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir 2024-06-26T05:06:44.0907843Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension 2024-06-26T05:06:44.0908700Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util 2024-06-26T05:06:44.0910416Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/convert_main.py -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util 2024-06-26T05:06:44.0912514Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/converter.py -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util 2024-06-26T05:06:44.0913900Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util/converters 2024-06-26T05:06:44.0915888Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/converters/llama_converter.py -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util/converters 2024-06-26T05:06:44.0918325Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/load_gguf.py -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util 2024-06-26T05:06:44.0920674Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/pybindings 2024-06-26T05:06:44.0923696Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/_portable_lib.cpython-310-x86_64-linux-gnu.so -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/pybindings 2024-06-26T05:06:44.0927887Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/portable_lib.py -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/pybindings 2024-06-26T05:06:44.0931275Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/pybindings.pyi -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/pybindings 2024-06-26T05:06:44.0933516Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/pybindings/test 2024-06-26T05:06:44.0935277Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test/make_test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/pybindings/test 2024-06-26T05:06:44.0938918Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test/test_pybindings.py -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/pybindings/test 2024-06-26T05:06:44.0940940Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/pytree 2024-06-26T05:06:44.0942275Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/pytree 2024-06-26T05:06:44.0943565Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/pytree/test 2024-06-26T05:06:44.0945764Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree/test/test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/pytree/test 2024-06-26T05:06:44.0947341Z creating pip-out/bdist.linux-x86_64/wheel/executorch/schema 2024-06-26T05:06:44.0949239Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/schema/program.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/schema 2024-06-26T05:06:44.0951113Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/schema/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/schema 2024-06-26T05:06:44.0952232Z creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk 2024-06-26T05:06:44.0953422Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk 2024-06-26T05:06:44.0955477Z creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program 2024-06-26T05:06:44.0957058Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/bundled_program/config.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program 2024-06-26T05:06:44.0960737Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/bundled_program/core.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program 2024-06-26T05:06:44.0963189Z creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/schema 2024-06-26T05:06:44.0965772Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/bundled_program/schema/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/schema 2024-06-26T05:06:44.0969486Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/bundled_program/schema/bundled_program_schema.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/schema 2024-06-26T05:06:44.0973512Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/bundled_program/schema/bundled_program_schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/schema 2024-06-26T05:06:44.0977533Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/bundled_program/schema/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/schema 2024-06-26T05:06:44.0979469Z creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/schema/test 2024-06-26T05:06:44.0982527Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/bundled_program/schema/test/test_schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/schema/test 2024-06-26T05:06:44.0984789Z creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/serialize 2024-06-26T05:06:44.0987633Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/bundled_program/serialize/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/serialize 2024-06-26T05:06:44.0991312Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/bundled_program/serialize/bundled_program_schema.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/serialize 2024-06-26T05:06:44.0995138Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/bundled_program/serialize/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/serialize 2024-06-26T05:06:44.0996721Z creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/serialize/test 2024-06-26T05:06:44.0999602Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/bundled_program/serialize/test/test_serialize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/serialize/test 2024-06-26T05:06:44.1001837Z creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/test 2024-06-26T05:06:44.1003694Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/bundled_program/test/test_bundle_data.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/test 2024-06-26T05:06:44.1006666Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/bundled_program/test/test_config.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/test 2024-06-26T05:06:44.1009545Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/bundled_program/test/test_end2end.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/test 2024-06-26T05:06:44.1012061Z creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/util 2024-06-26T05:06:44.1014750Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/bundled_program/util/test_util.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/util 2024-06-26T05:06:44.1018190Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/bundled_program/version.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program 2024-06-26T05:06:44.1020535Z creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/debug_format 2024-06-26T05:06:44.1022987Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/debug_format/base_schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/debug_format 2024-06-26T05:06:44.1026545Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/debug_format/et_schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/debug_format 2024-06-26T05:06:44.1028872Z creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etdump 2024-06-26T05:06:44.1031301Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/etdump/etdump_schema_flatcc.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etdump 2024-06-26T05:06:44.1034582Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/etdump/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etdump 2024-06-26T05:06:44.1037786Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/etdump/schema_flatcc.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etdump 2024-06-26T05:06:44.1041121Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/etdump/serialize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etdump 2024-06-26T05:06:44.1043440Z creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etdump/tests 2024-06-26T05:06:44.1046043Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/etdump/tests/serialize_test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etdump/tests 2024-06-26T05:06:44.1048508Z creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etrecord 2024-06-26T05:06:44.1050817Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/etrecord/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etrecord 2024-06-26T05:06:44.1053958Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/etrecord/_etrecord.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etrecord 2024-06-26T05:06:44.1056477Z creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etrecord/tests 2024-06-26T05:06:44.1059128Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/etrecord/tests/etrecord_test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etrecord/tests 2024-06-26T05:06:44.1061734Z creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/inspector 2024-06-26T05:06:44.1064119Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/inspector/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/inspector 2024-06-26T05:06:44.1067324Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/inspector/_inspector.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/inspector 2024-06-26T05:06:44.1070659Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/inspector/_inspector_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/inspector 2024-06-26T05:06:44.1074070Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/inspector/inspector_cli.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/inspector 2024-06-26T05:06:44.1076566Z creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/inspector/tests 2024-06-26T05:06:44.1079405Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/inspector/tests/event_blocks_test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/inspector/tests 2024-06-26T05:06:44.1083192Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/inspector/tests/inspector_test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/inspector/tests 2024-06-26T05:06:44.1086256Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/inspector/tests/inspector_utils_test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/inspector/tests 2024-06-26T05:06:44.1087698Z creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/size_analysis_tool 2024-06-26T05:06:44.1089265Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/size_analysis_tool/size_analysis_tool.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/size_analysis_tool 2024-06-26T05:06:44.1091270Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/sdk/size_analysis_tool/size_analysis_tool_test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/size_analysis_tool 2024-06-26T05:06:44.1092581Z creating pip-out/bdist.linux-x86_64/wheel/executorch/util 2024-06-26T05:06:44.1094172Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/util/activation_memory_profiler.py -> pip-out/bdist.linux-x86_64/wheel/executorch/util 2024-06-26T05:06:44.1095799Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/util/python_profiler.py -> pip-out/bdist.linux-x86_64/wheel/executorch/util 2024-06-26T05:06:44.1097238Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/version.py -> pip-out/bdist.linux-x86_64/wheel/executorch 2024-06-26T05:06:44.1098192Z creating pip-out/bdist.linux-x86_64/wheel/serializer 2024-06-26T05:06:44.1099169Z copying pip-out/lib.linux-x86_64-cpython-310/serializer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/serializer 2024-06-26T05:06:44.1100617Z copying pip-out/lib.linux-x86_64-cpython-310/serializer/tosa_serializer.py -> pip-out/bdist.linux-x86_64/wheel/serializer 2024-06-26T05:06:44.1101585Z creating pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1102651Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/ArithmeticRightShiftAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1104006Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/Attribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1105430Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/AxisAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1106716Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/ClampAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1108009Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/CondIfAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1109303Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/ConvAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1110825Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/CustomAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1112066Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/DType.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1113288Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/FFTAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1114796Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/FullyConnectedAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1116162Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/MatMulAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1117434Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/MulAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1118835Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/NegateAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1120156Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/Op.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1121359Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/PadAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1122627Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/PoolAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1124049Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/RFFTAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1125419Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/RescaleAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1126740Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/ReshapeAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1128126Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/ResizeAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1129456Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/ResizeMode.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1151064Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/SliceAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1152611Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/TableAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1155072Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/TileAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1156610Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/TosaBasicBlock.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1157968Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/TosaGraph.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1159259Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/TosaOperator.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1160754Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/TosaRegion.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1162964Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/TosaTensor.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1164629Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/TransposeAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1167053Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/TransposeConvAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1169083Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/Version.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1171182Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/WhileLoopAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1173231Z copying pip-out/lib.linux-x86_64-cpython-310/tosa/__init__.py -> pip-out/bdist.linux-x86_64/wheel/tosa 2024-06-26T05:06:44.1174577Z running install_egg_info 2024-06-26T05:06:44.1175892Z Copying executorch.egg-info to pip-out/bdist.linux-x86_64/wheel/executorch-0.4.0a0+39e17e4-py3.10.egg-info 2024-06-26T05:06:44.1176856Z running install_scripts 2024-06-26T05:06:44.1177544Z creating pip-out/bdist.linux-x86_64/wheel/executorch-0.4.0a0+39e17e4.dist-info/WHEEL 2024-06-26T05:06:44.1179023Z creating '/tmp/pip-wheel-z0jfwfna/.tmp-3mlqxd71/executorch-0.4.0a0+39e17e4-cp310-cp310-linux_x86_64.whl' and adding 'pip-out/bdist.linux-x86_64/wheel' to it 2024-06-26T05:06:44.1180653Z adding 'executorch/version.py' 2024-06-26T05:06:44.1181699Z adding 'executorch/backends/apple/coreml/executorchcoreml.pyi' 2024-06-26T05:06:44.1182739Z adding 'executorch/backends/apple/coreml/compiler/__init__.py' 2024-06-26T05:06:44.1183547Z adding 'executorch/backends/apple/coreml/compiler/coreml_preprocess.py' 2024-06-26T05:06:44.1184822Z adding 'executorch/backends/apple/coreml/partition/__init__.py' 2024-06-26T05:06:44.1186223Z adding 'executorch/backends/apple/coreml/partition/coreml_partitioner.py' 2024-06-26T05:06:44.1187470Z adding 'executorch/backends/apple/coreml/quantizer/__init__.py' 2024-06-26T05:06:44.1188930Z adding 'executorch/backends/apple/coreml/quantizer/coreml_quantizer.py' 2024-06-26T05:06:44.1189942Z adding 'executorch/backends/apple/coreml/runtime/inmemoryfs/setup.py' 2024-06-26T05:06:44.1191173Z adding 'executorch/backends/apple/coreml/test/test_coreml_partitioner.py' 2024-06-26T05:06:44.1192703Z adding 'executorch/backends/apple/coreml/test/test_coreml_quantizer.py' 2024-06-26T05:06:44.1193550Z adding 'executorch/backends/apple/mps/__init__.py' 2024-06-26T05:06:44.1194518Z adding 'executorch/backends/apple/mps/mps_preprocess.py' 2024-06-26T05:06:44.1195778Z adding 'executorch/backends/apple/mps/operators/__init__.py' 2024-06-26T05:06:44.1196719Z adding 'executorch/backends/apple/mps/operators/activation_ops.py' 2024-06-26T05:06:44.1198052Z adding 'executorch/backends/apple/mps/operators/binary_ops.py' 2024-06-26T05:06:44.1199392Z adding 'executorch/backends/apple/mps/operators/clamp_ops.py' 2024-06-26T05:06:44.1200246Z adding 'executorch/backends/apple/mps/operators/constant_ops.py' 2024-06-26T05:06:44.1201663Z adding 'executorch/backends/apple/mps/operators/convolution_ops.py' 2024-06-26T05:06:44.1202865Z adding 'executorch/backends/apple/mps/operators/indexing_ops.py' 2024-06-26T05:06:44.1204279Z adding 'executorch/backends/apple/mps/operators/linear_algebra_ops.py' 2024-06-26T05:06:44.1205709Z adding 'executorch/backends/apple/mps/operators/node_visitor.py' 2024-06-26T05:06:44.1206756Z adding 'executorch/backends/apple/mps/operators/normalization_ops.py' 2024-06-26T05:06:44.1208146Z adding 'executorch/backends/apple/mps/operators/op_clone.py' 2024-06-26T05:06:44.1209090Z adding 'executorch/backends/apple/mps/operators/op_getitem.py' 2024-06-26T05:06:44.1209942Z adding 'executorch/backends/apple/mps/operators/pad_ops.py' 2024-06-26T05:06:44.1211262Z adding 'executorch/backends/apple/mps/operators/pooling_ops.py' 2024-06-26T05:06:44.1212346Z adding 'executorch/backends/apple/mps/operators/range_ops.py' 2024-06-26T05:06:44.1213573Z adding 'executorch/backends/apple/mps/operators/reduce_ops.py' 2024-06-26T05:06:44.1214797Z adding 'executorch/backends/apple/mps/operators/shape_ops.py' 2024-06-26T05:06:44.1215560Z adding 'executorch/backends/apple/mps/operators/unary_ops.py' 2024-06-26T05:06:44.1216270Z adding 'executorch/backends/apple/mps/partition/__init__.py' 2024-06-26T05:06:44.1217190Z adding 'executorch/backends/apple/mps/partition/mps_partitioner.py' 2024-06-26T05:06:44.1218736Z adding 'executorch/backends/apple/mps/serialization/mps_graph_schema.py' 2024-06-26T05:06:44.1220047Z adding 'executorch/backends/apple/mps/serialization/mps_graph_serialize.py' 2024-06-26T05:06:44.1221599Z adding 'executorch/backends/apple/mps/serialization/schema.fbs' 2024-06-26T05:06:44.1222502Z adding 'executorch/backends/apple/mps/test/test_mps.py' 2024-06-26T05:06:44.1223224Z adding 'executorch/backends/apple/mps/test/test_mps_binary_ops.py' 2024-06-26T05:06:44.1224782Z adding 'executorch/backends/apple/mps/test/test_mps_indexing_ops.py' 2024-06-26T05:06:44.1225971Z adding 'executorch/backends/apple/mps/test/test_mps_models.py' 2024-06-26T05:06:44.1226778Z adding 'executorch/backends/apple/mps/test/test_mps_unary_ops.py' 2024-06-26T05:06:44.1227516Z adding 'executorch/backends/apple/mps/test/test_mps_utils.py' 2024-06-26T05:06:44.1228353Z adding 'executorch/backends/apple/mps/utils/mps_utils.py' 2024-06-26T05:06:44.1229455Z adding 'executorch/backends/arm/arm_backend.py' 2024-06-26T05:06:44.1230384Z adding 'executorch/backends/arm/arm_partitioner.py' 2024-06-26T05:06:44.1231021Z adding 'executorch/backends/arm/arm_vela.py' 2024-06-26T05:06:44.1231558Z adding 'executorch/backends/arm/tosa_mapping.py' 2024-06-26T05:06:44.1232144Z adding 'executorch/backends/arm/tosa_quant_utils.py' 2024-06-26T05:06:44.1232798Z adding 'executorch/backends/arm/tosa_utils.py' 2024-06-26T05:06:44.1233850Z adding 'executorch/backends/arm/operators/__init__.py' 2024-06-26T05:06:44.1234948Z adding 'executorch/backends/arm/operators/node_visitor.py' 2024-06-26T05:06:44.1235687Z adding 'executorch/backends/arm/operators/op_add.py' 2024-06-26T05:06:44.1236513Z adding 'executorch/backends/arm/operators/op_addmm.py' 2024-06-26T05:06:44.1237743Z adding 'executorch/backends/arm/operators/op_avg_pool2d.py' 2024-06-26T05:06:44.1238908Z adding 'executorch/backends/arm/operators/op_batch_norm.py' 2024-06-26T05:06:44.1239957Z adding 'executorch/backends/arm/operators/op_clone.py' 2024-06-26T05:06:44.1241137Z adding 'executorch/backends/arm/operators/op_conv2d.py' 2024-06-26T05:06:44.1241963Z adding 'executorch/backends/arm/operators/op_dequant.py' 2024-06-26T05:06:44.1242752Z adding 'executorch/backends/arm/operators/op_div.py' 2024-06-26T05:06:44.1243909Z adding 'executorch/backends/arm/operators/op_get_item.py' 2024-06-26T05:06:44.1244948Z adding 'executorch/backends/arm/operators/op_hardtanh.py' 2024-06-26T05:06:44.1246081Z adding 'executorch/backends/arm/operators/op_mean_dim.py' 2024-06-26T05:06:44.1247295Z adding 'executorch/backends/arm/operators/op_permute.py' 2024-06-26T05:06:44.1248098Z adding 'executorch/backends/arm/operators/op_placeholder.py' 2024-06-26T05:06:44.1248901Z adding 'executorch/backends/arm/operators/op_quant.py' 2024-06-26T05:06:44.1250079Z adding 'executorch/backends/arm/operators/op_softmax.py' 2024-06-26T05:06:44.1251064Z adding 'executorch/backends/arm/operators/op_view.py' 2024-06-26T05:06:44.1252123Z adding 'executorch/backends/arm/quantizer/__init__.py' 2024-06-26T05:06:44.1253347Z adding 'executorch/backends/arm/quantizer/arm_quantizer.py' 2024-06-26T05:06:44.1254429Z adding 'executorch/backends/arm/quantizer/arm_quantizer_utils.py' 2024-06-26T05:06:44.1255838Z adding 'executorch/backends/arm/quantizer/quantization_config.py' 2024-06-26T05:06:44.1257102Z adding 'executorch/backends/arm/quantizer/quantization_annotation/__init__.py' 2024-06-26T05:06:44.1259125Z adding 'executorch/backends/arm/quantizer/quantization_annotation/adaptive_ang_pool2d_annotator.py' 2024-06-26T05:06:44.1260466Z adding 'executorch/backends/arm/quantizer/quantization_annotation/add_annotator.py' 2024-06-26T05:06:44.1262060Z adding 'executorch/backends/arm/quantizer/quantization_annotation/conv_annotator.py' 2024-06-26T05:06:44.1263643Z adding 'executorch/backends/arm/quantizer/quantization_annotation/linear_annotator.py' 2024-06-26T05:06:44.1264909Z adding 'executorch/backends/arm/quantizer/quantization_annotation/max_pool2d_annotator.py' 2024-06-26T05:06:44.1266783Z adding 'executorch/backends/arm/quantizer/quantization_annotation/mul_annotator.py' 2024-06-26T05:06:44.1267686Z adding 'executorch/backends/arm/test/common.py' 2024-06-26T05:06:44.1268776Z adding 'executorch/backends/arm/test/misc/test_debug_feats.py' 2024-06-26T05:06:44.1270116Z adding 'executorch/backends/arm/test/models/test_mobilenet_v2_arm.py' 2024-06-26T05:06:44.1271040Z adding 'executorch/backends/arm/test/ops/test_add.py' 2024-06-26T05:06:44.1271834Z adding 'executorch/backends/arm/test/ops/test_avg_pool.py' 2024-06-26T05:06:44.1272529Z adding 'executorch/backends/arm/test/ops/test_batch_norm.py' 2024-06-26T05:06:44.1273650Z adding 'executorch/backends/arm/test/ops/test_clone.py' 2024-06-26T05:06:44.1274807Z adding 'executorch/backends/arm/test/ops/test_conv.py' 2024-06-26T05:06:44.1275619Z adding 'executorch/backends/arm/test/ops/test_conv_combos.py' 2024-06-26T05:06:44.1276347Z adding 'executorch/backends/arm/test/ops/test_depthwise_conv.py' 2024-06-26T05:06:44.1277068Z adding 'executorch/backends/arm/test/ops/test_div.py' 2024-06-26T05:06:44.1278278Z adding 'executorch/backends/arm/test/ops/test_linear.py' 2024-06-26T05:06:44.1279474Z adding 'executorch/backends/arm/test/ops/test_mean_dim.py' 2024-06-26T05:06:44.1280378Z adding 'executorch/backends/arm/test/ops/test_softmax.py' 2024-06-26T05:06:44.1281500Z adding 'executorch/backends/arm/test/ops/test_view.py' 2024-06-26T05:06:44.1282635Z adding 'executorch/backends/arm/test/tester/__init__.py' 2024-06-26T05:06:44.1283408Z adding 'executorch/backends/arm/test/tester/arm_tester.py' 2024-06-26T05:06:44.1284347Z adding 'executorch/backends/arm/test/tosautil/__init__.py' 2024-06-26T05:06:44.1285651Z adding 'executorch/backends/arm/test/tosautil/tosa_test_utils.py' 2024-06-26T05:06:44.1286761Z adding 'executorch/backends/arm/third-party/serialization_lib/setup.py' 2024-06-26T05:06:44.1288472Z adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py' 2024-06-26T05:06:44.1290633Z adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py' 2024-06-26T05:06:44.1292927Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py' 2024-06-26T05:06:44.1295080Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py' 2024-06-26T05:06:44.1296176Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py' 2024-06-26T05:06:44.1297279Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py' 2024-06-26T05:06:44.1299155Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py' 2024-06-26T05:06:44.1301092Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py' 2024-06-26T05:06:44.1303329Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py' 2024-06-26T05:06:44.1305214Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py' 2024-06-26T05:06:44.1307168Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py' 2024-06-26T05:06:44.1309231Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py' 2024-06-26T05:06:44.1311443Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py' 2024-06-26T05:06:44.1313318Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py' 2024-06-26T05:06:44.1315384Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py' 2024-06-26T05:06:44.1317112Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py' 2024-06-26T05:06:44.1318755Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py' 2024-06-26T05:06:44.1320374Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py' 2024-06-26T05:06:44.1321479Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py' 2024-06-26T05:06:44.1322584Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py' 2024-06-26T05:06:44.1323722Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py' 2024-06-26T05:06:44.1324847Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py' 2024-06-26T05:06:44.1326053Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py' 2024-06-26T05:06:44.1327134Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py' 2024-06-26T05:06:44.1328235Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py' 2024-06-26T05:06:44.1329333Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py' 2024-06-26T05:06:44.1330410Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py' 2024-06-26T05:06:44.1331471Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py' 2024-06-26T05:06:44.1332536Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py' 2024-06-26T05:06:44.1333584Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py' 2024-06-26T05:06:44.1334071Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py' 2024-06-26T05:06:44.1334609Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py' 2024-06-26T05:06:44.1335183Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py' 2024-06-26T05:06:44.1335639Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py' 2024-06-26T05:06:44.1336176Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py' 2024-06-26T05:06:44.1336643Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py' 2024-06-26T05:06:44.1337046Z adding 'executorch/backends/arm/third-party/serialization_lib/schema/tosa.fbs' 2024-06-26T05:06:44.1337555Z adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py' 2024-06-26T05:06:44.1338049Z adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py' 2024-06-26T05:06:44.1338294Z adding 'executorch/backends/cadence/aot/__init__.py' 2024-06-26T05:06:44.1338551Z adding 'executorch/backends/cadence/aot/compiler.py' 2024-06-26T05:06:44.1338835Z adding 'executorch/backends/cadence/aot/export_example.py' 2024-06-26T05:06:44.1339098Z adding 'executorch/backends/cadence/aot/functions.yaml' 2024-06-26T05:06:44.1339496Z adding 'executorch/backends/cadence/aot/ops_registrations.py' 2024-06-26T05:06:44.1339817Z adding 'executorch/backends/cadence/aot/passes.py' 2024-06-26T05:06:44.1340045Z adding 'executorch/backends/cadence/aot/utils.py' 2024-06-26T05:06:44.1340384Z adding 'executorch/backends/cadence/aot/quantizer/fusion_pass.py' 2024-06-26T05:06:44.1340691Z adding 'executorch/backends/cadence/aot/quantizer/patterns.py' 2024-06-26T05:06:44.1341010Z adding 'executorch/backends/cadence/aot/quantizer/quantizer.py' 2024-06-26T05:06:44.1341304Z adding 'executorch/backends/cadence/aot/quantizer/utils.py' 2024-06-26T05:06:44.1341576Z adding 'executorch/backends/cadence/utils/gen_header.py' 2024-06-26T05:06:44.1341898Z adding 'executorch/backends/cadence/utils/post_compilation.py' 2024-06-26T05:06:44.1342161Z adding 'executorch/backends/example/example_backend.py' 2024-06-26T05:06:44.1342447Z adding 'executorch/backends/example/example_partitioner.py' 2024-06-26T05:06:44.1342738Z adding 'executorch/backends/example/example_quantizer.py' 2024-06-26T05:06:44.1343034Z adding 'executorch/backends/example/test_example_delegate.py' 2024-06-26T05:06:44.1343507Z adding 'executorch/backends/example/example_backend_delegate_passes/merge_to_dim_pass.py' 2024-06-26T05:06:44.1344056Z adding 'executorch/backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py' 2024-06-26T05:06:44.1344464Z adding 'executorch/backends/example/example_operators/adaptive_avg_pool2d.py' 2024-06-26T05:06:44.1344759Z adding 'executorch/backends/example/example_operators/add.py' 2024-06-26T05:06:44.1345188Z adding 'executorch/backends/example/example_operators/conv2d.py' 2024-06-26T05:06:44.1345521Z adding 'executorch/backends/example/example_operators/conv_relu.py' 2024-06-26T05:06:44.1345858Z adding 'executorch/backends/example/example_operators/dropout.py' 2024-06-26T05:06:44.1346178Z adding 'executorch/backends/example/example_operators/flatten.py' 2024-06-26T05:06:44.1346502Z adding 'executorch/backends/example/example_operators/linear.py' 2024-06-26T05:06:44.1346828Z adding 'executorch/backends/example/example_operators/op_base.py' 2024-06-26T05:06:44.1347122Z adding 'executorch/backends/example/example_operators/ops.py' 2024-06-26T05:06:44.1347433Z adding 'executorch/backends/example/example_operators/utils.py' 2024-06-26T05:06:44.1347713Z adding 'executorch/backends/qualcomm/qnn_preprocess.py' 2024-06-26T05:06:44.1347957Z adding 'executorch/backends/qualcomm/aot/ir/qcir.fbs' 2024-06-26T05:06:44.1348238Z adding 'executorch/backends/qualcomm/builders/__init__.py' 2024-06-26T05:06:44.1348561Z adding 'executorch/backends/qualcomm/builders/node_visitor.py' 2024-06-26T05:06:44.1348827Z adding 'executorch/backends/qualcomm/builders/op_add.py' 2024-06-26T05:06:44.1349157Z adding 'executorch/backends/qualcomm/builders/op_avg_pool2d.py' 2024-06-26T05:06:44.1349471Z adding 'executorch/backends/qualcomm/builders/op_batch_norm.py' 2024-06-26T05:06:44.1349736Z adding 'executorch/backends/qualcomm/builders/op_bmm.py' 2024-06-26T05:06:44.1350024Z adding 'executorch/backends/qualcomm/builders/op_cast.py' 2024-06-26T05:06:44.1350286Z adding 'executorch/backends/qualcomm/builders/op_cat.py' 2024-06-26T05:06:44.1350552Z adding 'executorch/backends/qualcomm/builders/op_ceil.py' 2024-06-26T05:06:44.1350848Z adding 'executorch/backends/qualcomm/builders/op_clamp.py' 2024-06-26T05:06:44.1351132Z adding 'executorch/backends/qualcomm/builders/op_conv2d.py' 2024-06-26T05:06:44.1351467Z adding 'executorch/backends/qualcomm/builders/op_depth_to_space.py' 2024-06-26T05:06:44.1351800Z adding 'executorch/backends/qualcomm/builders/op_dequantize.py' 2024-06-26T05:06:44.1352064Z adding 'executorch/backends/qualcomm/builders/op_div.py' 2024-06-26T05:06:44.1352375Z adding 'executorch/backends/qualcomm/builders/op_embedding.py' 2024-06-26T05:06:44.1352660Z adding 'executorch/backends/qualcomm/builders/op_expand.py' 2024-06-26T05:06:44.1352932Z adding 'executorch/backends/qualcomm/builders/op_gelu.py' 2024-06-26T05:06:44.1353319Z adding 'executorch/backends/qualcomm/builders/op_hardsigmoid.py' 2024-06-26T05:06:44.1353627Z adding 'executorch/backends/qualcomm/builders/op_hardswish.py' 2024-06-26T05:06:44.1353922Z adding 'executorch/backends/qualcomm/builders/op_hardtanh.py' 2024-06-26T05:06:44.1354244Z adding 'executorch/backends/qualcomm/builders/op_layer_norm.py' 2024-06-26T05:06:44.1354527Z adding 'executorch/backends/qualcomm/builders/op_linear.py' 2024-06-26T05:06:44.1354843Z adding 'executorch/backends/qualcomm/builders/op_log_softmax.py' 2024-06-26T05:06:44.1355140Z adding 'executorch/backends/qualcomm/builders/op_matmul.py' 2024-06-26T05:06:44.1355448Z adding 'executorch/backends/qualcomm/builders/op_max_pool2d.py' 2024-06-26T05:06:44.1355754Z adding 'executorch/backends/qualcomm/builders/op_mean_dim.py' 2024-06-26T05:06:44.1356015Z adding 'executorch/backends/qualcomm/builders/op_mul.py' 2024-06-26T05:06:44.1356275Z adding 'executorch/backends/qualcomm/builders/op_pad.py' 2024-06-26T05:06:44.1356552Z adding 'executorch/backends/qualcomm/builders/op_pow.py' 2024-06-26T05:06:44.1356834Z adding 'executorch/backends/qualcomm/builders/op_prelu.py' 2024-06-26T05:06:44.1357127Z adding 'executorch/backends/qualcomm/builders/op_quantize.py' 2024-06-26T05:06:44.1357407Z adding 'executorch/backends/qualcomm/builders/op_relu.py' 2024-06-26T05:06:44.1357697Z adding 'executorch/backends/qualcomm/builders/op_reshape.py' 2024-06-26T05:06:44.1358094Z adding 'executorch/backends/qualcomm/builders/op_rsqrt.py' 2024-06-26T05:06:44.1358503Z adding 'executorch/backends/qualcomm/builders/op_select_copy.py' 2024-06-26T05:06:44.1358790Z adding 'executorch/backends/qualcomm/builders/op_sigmoid.py' 2024-06-26T05:06:44.1359096Z adding 'executorch/backends/qualcomm/builders/op_skip_ops.py' 2024-06-26T05:06:44.1359408Z adding 'executorch/backends/qualcomm/builders/op_slice_copy.py' 2024-06-26T05:06:44.1359695Z adding 'executorch/backends/qualcomm/builders/op_softmax.py' 2024-06-26T05:06:44.1360048Z adding 'executorch/backends/qualcomm/builders/op_space_to_depth.py' 2024-06-26T05:06:44.1360397Z adding 'executorch/backends/qualcomm/builders/op_split_with_sizes.py' 2024-06-26T05:06:44.1360667Z adding 'executorch/backends/qualcomm/builders/op_sqrt.py' 2024-06-26T05:06:44.1360966Z adding 'executorch/backends/qualcomm/builders/op_squeeze.py' 2024-06-26T05:06:44.1361229Z adding 'executorch/backends/qualcomm/builders/op_sub.py' 2024-06-26T05:06:44.1361549Z adding 'executorch/backends/qualcomm/builders/op_sum_int_list.py' 2024-06-26T05:06:44.1361835Z adding 'executorch/backends/qualcomm/builders/op_tanh.py' 2024-06-26T05:06:44.1362145Z adding 'executorch/backends/qualcomm/builders/op_transpose.py' 2024-06-26T05:06:44.1362463Z adding 'executorch/backends/qualcomm/builders/op_unsqueeze.py' 2024-06-26T05:06:44.1362839Z adding 'executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py' 2024-06-26T05:06:44.1363209Z adding 'executorch/backends/qualcomm/builders/op_upsample_nearest2d.py' 2024-06-26T05:06:44.1363533Z adding 'executorch/backends/qualcomm/builders/qnn_constants.py' 2024-06-26T05:06:44.1363794Z adding 'executorch/backends/qualcomm/builders/utils.py' 2024-06-26T05:06:44.1364099Z adding 'executorch/backends/qualcomm/partition/common_defs.py' 2024-06-26T05:06:44.1364446Z adding 'executorch/backends/qualcomm/partition/qnn_partitioner.py' 2024-06-26T05:06:44.1364825Z adding 'executorch/backends/qualcomm/passes/annotate_and_quant_scalar.py' 2024-06-26T05:06:44.1365166Z adding 'executorch/backends/qualcomm/passes/annotate_decomposed.py' 2024-06-26T05:06:44.1365524Z adding 'executorch/backends/qualcomm/passes/annotate_quant_attrs.py' 2024-06-26T05:06:44.1365926Z adding 'executorch/backends/qualcomm/passes/convert_binary_op_with_scalar.py' 2024-06-26T05:06:44.1366278Z adding 'executorch/backends/qualcomm/passes/convert_bmm_to_matmul.py' 2024-06-26T05:06:44.1366725Z adding 'executorch/backends/qualcomm/passes/convert_interpolate_with_upsample2d.py' 2024-06-26T05:06:44.1367084Z adding 'executorch/backends/qualcomm/passes/convert_prelu.py' 2024-06-26T05:06:44.1367426Z adding 'executorch/backends/qualcomm/passes/convert_to_linear.py' 2024-06-26T05:06:44.1367888Z adding 'executorch/backends/qualcomm/passes/decompose_scaled_dot_product_attention.py' 2024-06-26T05:06:44.1368196Z adding 'executorch/backends/qualcomm/passes/decompose_silu.py' 2024-06-26T05:06:44.1368475Z adding 'executorch/backends/qualcomm/passes/fold_qdq.py' 2024-06-26T05:06:44.1368756Z adding 'executorch/backends/qualcomm/passes/i64_to_i32.py' 2024-06-26T05:06:44.1369053Z adding 'executorch/backends/qualcomm/passes/insert_io_qdq.py' 2024-06-26T05:06:44.1369393Z adding 'executorch/backends/qualcomm/passes/insert_requantize.py' 2024-06-26T05:06:44.1369717Z adding 'executorch/backends/qualcomm/passes/layout_transform.py' 2024-06-26T05:06:44.1370100Z adding 'executorch/backends/qualcomm/passes/recompose_pixel_shuffle.py' 2024-06-26T05:06:44.1370488Z adding 'executorch/backends/qualcomm/passes/recompose_pixel_unshuffle.py' 2024-06-26T05:06:44.1370826Z adding 'executorch/backends/qualcomm/passes/reduce_dynamic_range.py' 2024-06-26T05:06:44.1371125Z adding 'executorch/backends/qualcomm/passes/remove_clone.py' 2024-06-26T05:06:44.1371455Z adding 'executorch/backends/qualcomm/passes/replace_inf_buffer.py' 2024-06-26T05:06:44.1371703Z adding 'executorch/backends/qualcomm/passes/utils.py' 2024-06-26T05:06:44.1372003Z adding 'executorch/backends/qualcomm/quantizer/quantizer.py' 2024-06-26T05:06:44.1372268Z adding 'executorch/backends/qualcomm/quantizer/utils.py' 2024-06-26T05:06:44.1372732Z adding 'executorch/backends/qualcomm/serialization/qnn_compile_spec_schema.py' 2024-06-26T05:06:44.1373176Z adding 'executorch/backends/qualcomm/serialization/qnn_compile_spec_serialize.py' 2024-06-26T05:06:44.1373484Z adding 'executorch/backends/qualcomm/serialization/schema.fbs' 2024-06-26T05:06:44.1373743Z adding 'executorch/backends/qualcomm/tests/models.py' 2024-06-26T05:06:44.1374064Z adding 'executorch/backends/qualcomm/tests/test_qnn_delegate.py' 2024-06-26T05:06:44.1374303Z adding 'executorch/backends/qualcomm/tests/utils.py' 2024-06-26T05:06:44.1374558Z adding 'executorch/backends/qualcomm/utils/utils.py' 2024-06-26T05:06:44.1374795Z adding 'executorch/backends/transforms/__init__.py' 2024-06-26T05:06:44.1375081Z adding 'executorch/backends/transforms/addmm_mm_to_linear.py' 2024-06-26T05:06:44.1375465Z adding 'executorch/backends/transforms/duplicate_dynamic_quant_chain.py' 2024-06-26T05:06:44.1375801Z adding 'executorch/backends/transforms/fuse_batch_norm_with_conv.py' 2024-06-26T05:06:44.1376114Z adding 'executorch/backends/transforms/fuse_conv_with_clamp.py' 2024-06-26T05:06:44.1376397Z adding 'executorch/backends/transforms/fuse_view_copy.py' 2024-06-26T05:06:44.1376647Z adding 'executorch/backends/transforms/i64_to_i32.py' 2024-06-26T05:06:44.1376939Z adding 'executorch/backends/transforms/mean_to_sum_div.py' 2024-06-26T05:06:44.1377164Z adding 'executorch/backends/transforms/utils.py' 2024-06-26T05:06:44.1377596Z adding 'executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py' 2024-06-26T05:06:44.1377823Z adding 'executorch/backends/vulkan/__init__.py' 2024-06-26T05:06:44.1378091Z adding 'executorch/backends/vulkan/vulkan_preprocess.py' 2024-06-26T05:06:44.1378413Z adding 'executorch/backends/vulkan/partitioner/supported_ops.py' 2024-06-26T05:06:44.1378780Z adding 'executorch/backends/vulkan/partitioner/vulkan_partitioner.py' 2024-06-26T05:06:44.1379074Z adding 'executorch/backends/vulkan/passes/custom_ops_defs.py' 2024-06-26T05:06:44.1379372Z adding 'executorch/backends/vulkan/passes/test_custom_ops.py' 2024-06-26T05:06:44.1379772Z adding 'executorch/backends/vulkan/runtime/api/gen_vulkan_spv.py' 2024-06-26T05:06:44.1380169Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive.yaml' 2024-06-26T05:06:44.1380610Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml' 2024-06-26T05:06:44.1381027Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml' 2024-06-26T05:06:44.1381420Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml' 2024-06-26T05:06:44.1381816Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml' 2024-06-26T05:06:44.1382194Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml' 2024-06-26T05:06:44.1382537Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml' 2024-06-26T05:06:44.1382905Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml' 2024-06-26T05:06:44.1383264Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml' 2024-06-26T05:06:44.1383640Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml' 2024-06-26T05:06:44.1384105Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml' 2024-06-26T05:06:44.1384597Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml' 2024-06-26T05:06:44.1385088Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml' 2024-06-26T05:06:44.1385467Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml' 2024-06-26T05:06:44.1385902Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml' 2024-06-26T05:06:44.1386456Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml' 2024-06-26T05:06:44.1386904Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml' 2024-06-26T05:06:44.1387352Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml' 2024-06-26T05:06:44.1387746Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml' 2024-06-26T05:06:44.1388088Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml' 2024-06-26T05:06:44.1388496Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select.yaml' 2024-06-26T05:06:44.1388952Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml' 2024-06-26T05:06:44.1389351Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/matmul_naive.yaml' 2024-06-26T05:06:44.1389791Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/matmul_optimized.yaml' 2024-06-26T05:06:44.1390183Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml' 2024-06-26T05:06:44.1390615Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml' 2024-06-26T05:06:44.1391042Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_tensor.yaml' 2024-06-26T05:06:44.1391386Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml' 2024-06-26T05:06:44.1391792Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml' 2024-06-26T05:06:44.1392221Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml' 2024-06-26T05:06:44.1392598Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml' 2024-06-26T05:06:44.1393000Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.yaml' 2024-06-26T05:06:44.1393405Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml' 2024-06-26T05:06:44.1393828Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_batch_4d.yaml' 2024-06-26T05:06:44.1394273Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_3d.yaml' 2024-06-26T05:06:44.1394700Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_4d.yaml' 2024-06-26T05:06:44.1395143Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_3d.yaml' 2024-06-26T05:06:44.1395570Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_4d.yaml' 2024-06-26T05:06:44.1395986Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_3d.yaml' 2024-06-26T05:06:44.1396480Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_4d.yaml' 2024-06-26T05:06:44.1396966Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/slice_batch_height_width.yaml' 2024-06-26T05:06:44.1397370Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/slice_channel.yaml' 2024-06-26T05:06:44.1397976Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/softmax_batch_height_width.yaml' 2024-06-26T05:06:44.1398396Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/softmax_channel.yaml' 2024-06-26T05:06:44.1398764Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/sum_dim.yaml' 2024-06-26T05:06:44.1399198Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/sum_dim_keepdim.yaml' 2024-06-26T05:06:44.1399606Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/tensor_to_nchw.yaml' 2024-06-26T05:06:44.1399992Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml' 2024-06-26T05:06:44.1400437Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_nearest2d.yaml' 2024-06-26T05:06:44.1400778Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml' 2024-06-26T05:06:44.1401081Z adding 'executorch/backends/vulkan/serialization/schema.fbs' 2024-06-26T05:06:44.1401464Z adding 'executorch/backends/vulkan/serialization/vulkan_graph_builder.py' 2024-06-26T05:06:44.1401839Z adding 'executorch/backends/vulkan/serialization/vulkan_graph_schema.py' 2024-06-26T05:06:44.1402246Z adding 'executorch/backends/vulkan/serialization/vulkan_graph_serialize.py' 2024-06-26T05:06:44.1402558Z adding 'executorch/backends/vulkan/test/test_serialization.py' 2024-06-26T05:06:44.1402974Z adding 'executorch/backends/vulkan/test/test_vulkan_delegate.py' 2024-06-26T05:06:44.1403335Z adding 'executorch/backends/vulkan/test/test_vulkan_delegate_header.py' 2024-06-26T05:06:44.1403639Z adding 'executorch/backends/vulkan/test/glsl/all_shaders.yaml' 2024-06-26T05:06:44.1403934Z adding 'executorch/backends/vulkan/test/op_tests/cases.py' 2024-06-26T05:06:44.1404291Z adding 'executorch/backends/vulkan/test/op_tests/generate_op_tests.py' 2024-06-26T05:06:44.1404619Z adding 'executorch/backends/vulkan/test/op_tests/utils/codegen.py' 2024-06-26T05:06:44.1404991Z adding 'executorch/backends/vulkan/test/op_tests/utils/codegen_base.py' 2024-06-26T05:06:44.1405477Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py' 2024-06-26T05:06:44.1405930Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py' 2024-06-26T05:06:44.1406404Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py' 2024-06-26T05:06:44.1406854Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py' 2024-06-26T05:06:44.1407289Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py' 2024-06-26T05:06:44.1407696Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py' 2024-06-26T05:06:44.1408176Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py' 2024-06-26T05:06:44.1408681Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py' 2024-06-26T05:06:44.1409299Z adding 'executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py' 2024-06-26T05:06:44.1409617Z adding 'executorch/backends/vulkan/third-party/volk/generate.py' 2024-06-26T05:06:44.1409852Z adding 'executorch/backends/xnnpack/__init__.py' 2024-06-26T05:06:44.1410139Z adding 'executorch/backends/xnnpack/xnnpack_preprocess.py' 2024-06-26T05:06:44.1410434Z adding 'executorch/backends/xnnpack/operators/__init__.py' 2024-06-26T05:06:44.1410741Z adding 'executorch/backends/xnnpack/operators/node_visitor.py' 2024-06-26T05:06:44.1411008Z adding 'executorch/backends/xnnpack/operators/op_abs.py' 2024-06-26T05:06:44.1411287Z adding 'executorch/backends/xnnpack/operators/op_add.py' 2024-06-26T05:06:44.1411568Z adding 'executorch/backends/xnnpack/operators/op_addmm.py' 2024-06-26T05:06:44.1411970Z adding 'executorch/backends/xnnpack/operators/op_avg_pooling2d.py' 2024-06-26T05:06:44.1412252Z adding 'executorch/backends/xnnpack/operators/op_cat.py' 2024-06-26T05:06:44.1412541Z adding 'executorch/backends/xnnpack/operators/op_ceiling.py' 2024-06-26T05:06:44.1412822Z adding 'executorch/backends/xnnpack/operators/op_clamp.py' 2024-06-26T05:06:44.1413121Z adding 'executorch/backends/xnnpack/operators/op_conv2d.py' 2024-06-26T05:06:44.1413506Z adding 'executorch/backends/xnnpack/operators/op_dequantize_per_tensor.py' 2024-06-26T05:06:44.1413785Z adding 'executorch/backends/xnnpack/operators/op_div.py' 2024-06-26T05:06:44.1414176Z adding 'executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py' 2024-06-26T05:06:44.1414555Z adding 'executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py' 2024-06-26T05:06:44.1414832Z adding 'executorch/backends/xnnpack/operators/op_elu.py' 2024-06-26T05:06:44.1415116Z adding 'executorch/backends/xnnpack/operators/op_floor.py' 2024-06-26T05:06:44.1415424Z adding 'executorch/backends/xnnpack/operators/op_hardswish.py' 2024-06-26T05:06:44.1415734Z adding 'executorch/backends/xnnpack/operators/op_hardtanh.py' 2024-06-26T05:06:44.1416049Z adding 'executorch/backends/xnnpack/operators/op_leaky_relu.py' 2024-06-26T05:06:44.1416335Z adding 'executorch/backends/xnnpack/operators/op_linear.py' 2024-06-26T05:06:44.1416734Z adding 'executorch/backends/xnnpack/operators/op_matrix_multiplication.py' 2024-06-26T05:06:44.1417023Z adding 'executorch/backends/xnnpack/operators/op_max_dim.py' 2024-06-26T05:06:44.1417405Z adding 'executorch/backends/xnnpack/operators/op_max_pool2d.py' 2024-06-26T05:06:44.1417695Z adding 'executorch/backends/xnnpack/operators/op_maximum.py' 2024-06-26T05:06:44.1417991Z adding 'executorch/backends/xnnpack/operators/op_mean_dim.py' 2024-06-26T05:06:44.1418293Z adding 'executorch/backends/xnnpack/operators/op_minimum.py' 2024-06-26T05:06:44.1418596Z adding 'executorch/backends/xnnpack/operators/op_multiply.py' 2024-06-26T05:06:44.1418883Z adding 'executorch/backends/xnnpack/operators/op_negate.py' 2024-06-26T05:06:44.1419184Z adding 'executorch/backends/xnnpack/operators/op_permute.py' 2024-06-26T05:06:44.1419469Z adding 'executorch/backends/xnnpack/operators/op_prelu.py' 2024-06-26T05:06:44.1419923Z adding 'executorch/backends/xnnpack/operators/op_quantize_per_tensor.py' 2024-06-26T05:06:44.1420211Z adding 'executorch/backends/xnnpack/operators/op_relu.py' 2024-06-26T05:06:44.1420482Z adding 'executorch/backends/xnnpack/operators/op_sdpa.py' 2024-06-26T05:06:44.1420790Z adding 'executorch/backends/xnnpack/operators/op_sigmoid.py' 2024-06-26T05:06:44.1421088Z adding 'executorch/backends/xnnpack/operators/op_skip_ops.py' 2024-06-26T05:06:44.1421403Z adding 'executorch/backends/xnnpack/operators/op_slice_copy.py' 2024-06-26T05:06:44.1421704Z adding 'executorch/backends/xnnpack/operators/op_softmax.py' 2024-06-26T05:06:44.1421991Z adding 'executorch/backends/xnnpack/operators/op_square.py' 2024-06-26T05:06:44.1422308Z adding 'executorch/backends/xnnpack/operators/op_square_root.py' 2024-06-26T05:06:44.1422610Z adding 'executorch/backends/xnnpack/operators/op_squeeze.py' 2024-06-26T05:06:44.1422984Z adding 'executorch/backends/xnnpack/operators/op_static_constant_pad.py' 2024-06-26T05:06:44.1423392Z adding 'executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py' 2024-06-26T05:06:44.1423675Z adding 'executorch/backends/xnnpack/operators/op_sub.py' 2024-06-26T05:06:44.1423967Z adding 'executorch/backends/xnnpack/operators/op_to_copy.py' 2024-06-26T05:06:44.1424290Z adding 'executorch/backends/xnnpack/operators/quant_params.py' 2024-06-26T05:06:44.1424564Z adding 'executorch/backends/xnnpack/partition/configs.py' 2024-06-26T05:06:44.1424921Z adding 'executorch/backends/xnnpack/partition/xnnpack_partitioner.py' 2024-06-26T05:06:44.1425278Z adding 'executorch/backends/xnnpack/partition/graphs/bilinear_2d.py' 2024-06-26T05:06:44.1425632Z adding 'executorch/backends/xnnpack/partition/graphs/sdpa.py' 2024-06-26T05:06:44.1425896Z adding 'executorch/backends/xnnpack/passes/__init__.py' 2024-06-26T05:06:44.1426336Z adding 'executorch/backends/xnnpack/passes/channels_last_tagged_reshape_pass.py' 2024-06-26T05:06:44.1426676Z adding 'executorch/backends/xnnpack/passes/conv1d_unsqueeze_pass.py' 2024-06-26T05:06:44.1426995Z adding 'executorch/backends/xnnpack/passes/convert_to_linear.py' 2024-06-26T05:06:44.1427312Z adding 'executorch/backends/xnnpack/passes/convert_to_sdpa.py' 2024-06-26T05:06:44.1427721Z adding 'executorch/backends/xnnpack/passes/convert_to_upsample_bilinear2d.py' 2024-06-26T05:06:44.1428069Z adding 'executorch/backends/xnnpack/passes/fuse_activation_pass.py' 2024-06-26T05:06:44.1428442Z adding 'executorch/backends/xnnpack/passes/fuse_batch_norm_with_conv.py' 2024-06-26T05:06:44.1428767Z adding 'executorch/backends/xnnpack/passes/prelu_reshape_pass.py' 2024-06-26T05:06:44.1429104Z adding 'executorch/backends/xnnpack/passes/remove_getitem_op.py' 2024-06-26T05:06:44.1429447Z adding 'executorch/backends/xnnpack/passes/tag_implicit_q_dq_pass.py' 2024-06-26T05:06:44.1429735Z adding 'executorch/backends/xnnpack/passes/xnnpack_pass.py' 2024-06-26T05:06:44.1430093Z adding 'executorch/backends/xnnpack/serialization/runtime_schema.fbs' 2024-06-26T05:06:44.1430394Z adding 'executorch/backends/xnnpack/serialization/schema.fbs' 2024-06-26T05:06:44.1430785Z adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py' 2024-06-26T05:06:44.1431268Z adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py' 2024-06-26T05:06:44.1431582Z adding 'executorch/backends/xnnpack/test/test_xnnpack_utils.py' 2024-06-26T05:06:44.1431956Z adding 'executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py' 2024-06-26T05:06:44.1432258Z adding 'executorch/backends/xnnpack/test/models/deeplab_v3.py' 2024-06-26T05:06:44.1432524Z adding 'executorch/backends/xnnpack/test/models/edsr.py' 2024-06-26T05:06:44.1432863Z adding 'executorch/backends/xnnpack/test/models/emformer_rnnt.py' 2024-06-26T05:06:44.1433182Z adding 'executorch/backends/xnnpack/test/models/inception_v3.py' 2024-06-26T05:06:44.1433497Z adding 'executorch/backends/xnnpack/test/models/inception_v4.py' 2024-06-26T05:06:44.1433854Z adding 'executorch/backends/xnnpack/test/models/llama2_et_example.py' 2024-06-26T05:06:44.1434159Z adding 'executorch/backends/xnnpack/test/models/mobilebert.py' 2024-06-26T05:06:44.1434478Z adding 'executorch/backends/xnnpack/test/models/mobilenet_v2.py' 2024-06-26T05:06:44.1434812Z adding 'executorch/backends/xnnpack/test/models/mobilenet_v3.py' 2024-06-26T05:06:44.1435093Z adding 'executorch/backends/xnnpack/test/models/resnet.py' 2024-06-26T05:06:44.1435443Z adding 'executorch/backends/xnnpack/test/models/torchvision_vit.py' 2024-06-26T05:06:44.1435770Z adding 'executorch/backends/xnnpack/test/models/very_big_model.py' 2024-06-26T05:06:44.1436034Z adding 'executorch/backends/xnnpack/test/models/w2l.py' 2024-06-26T05:06:44.1436286Z adding 'executorch/backends/xnnpack/test/ops/abs.py' 2024-06-26T05:06:44.1436525Z adding 'executorch/backends/xnnpack/test/ops/add.py' 2024-06-26T05:06:44.1436810Z adding 'executorch/backends/xnnpack/test/ops/avgpool2d.py' 2024-06-26T05:06:44.1437108Z adding 'executorch/backends/xnnpack/test/ops/bilinear2d.py' 2024-06-26T05:06:44.1437346Z adding 'executorch/backends/xnnpack/test/ops/cat.py' 2024-06-26T05:06:44.1437593Z adding 'executorch/backends/xnnpack/test/ops/ceil.py' 2024-06-26T05:06:44.1437964Z adding 'executorch/backends/xnnpack/test/ops/clamp.py' 2024-06-26T05:06:44.1438228Z adding 'executorch/backends/xnnpack/test/ops/conv1d.py' 2024-06-26T05:06:44.1438501Z adding 'executorch/backends/xnnpack/test/ops/conv2d.py' 2024-06-26T05:06:44.1438740Z adding 'executorch/backends/xnnpack/test/ops/div.py' 2024-06-26T05:06:44.1438978Z adding 'executorch/backends/xnnpack/test/ops/elu.py' 2024-06-26T05:06:44.1439332Z adding 'executorch/backends/xnnpack/test/ops/floor.py' 2024-06-26T05:06:44.1439613Z adding 'executorch/backends/xnnpack/test/ops/hardswish.py' 2024-06-26T05:06:44.1439885Z adding 'executorch/backends/xnnpack/test/ops/hardtanh.py' 2024-06-26T05:06:44.1440184Z adding 'executorch/backends/xnnpack/test/ops/leaky_relu.py' 2024-06-26T05:06:44.1440443Z adding 'executorch/backends/xnnpack/test/ops/linear.py' 2024-06-26T05:06:44.1440708Z adding 'executorch/backends/xnnpack/test/ops/max_dim.py' 2024-06-26T05:06:44.1440985Z adding 'executorch/backends/xnnpack/test/ops/maximum.py' 2024-06-26T05:06:44.1441272Z adding 'executorch/backends/xnnpack/test/ops/maxpool2d.py' 2024-06-26T05:06:44.1441541Z adding 'executorch/backends/xnnpack/test/ops/mean_dim.py' 2024-06-26T05:06:44.1441818Z adding 'executorch/backends/xnnpack/test/ops/minimum.py' 2024-06-26T05:06:44.1442085Z adding 'executorch/backends/xnnpack/test/ops/multiply.py' 2024-06-26T05:06:44.1442358Z adding 'executorch/backends/xnnpack/test/ops/negate.py' 2024-06-26T05:06:44.1442624Z adding 'executorch/backends/xnnpack/test/ops/permute.py' 2024-06-26T05:06:44.1442867Z adding 'executorch/backends/xnnpack/test/ops/pow.py' 2024-06-26T05:06:44.1443133Z adding 'executorch/backends/xnnpack/test/ops/prelu.py' 2024-06-26T05:06:44.1443474Z adding 'executorch/backends/xnnpack/test/ops/quantize_per_tensor.py' 2024-06-26T05:06:44.1443724Z adding 'executorch/backends/xnnpack/test/ops/relu.py' 2024-06-26T05:06:44.1443981Z adding 'executorch/backends/xnnpack/test/ops/sdpa.py' 2024-06-26T05:06:44.1444242Z adding 'executorch/backends/xnnpack/test/ops/sigmoid.py' 2024-06-26T05:06:44.1444606Z adding 'executorch/backends/xnnpack/test/ops/slice_copy.py' 2024-06-26T05:06:44.1444879Z adding 'executorch/backends/xnnpack/test/ops/softmax.py' 2024-06-26T05:06:44.1445125Z adding 'executorch/backends/xnnpack/test/ops/sqrt.py' 2024-06-26T05:06:44.1445395Z adding 'executorch/backends/xnnpack/test/ops/square.py' 2024-06-26T05:06:44.1445740Z adding 'executorch/backends/xnnpack/test/ops/static_constant_pad.py' 2024-06-26T05:06:44.1445980Z adding 'executorch/backends/xnnpack/test/ops/sub.py' 2024-06-26T05:06:44.1446379Z adding 'executorch/backends/xnnpack/test/passes/test_activation_fusion.py' 2024-06-26T05:06:44.1446764Z adding 'executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py' 2024-06-26T05:06:44.1447222Z adding 'executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py' 2024-06-26T05:06:44.1447621Z adding 'executorch/backends/xnnpack/test/passes/test_convert_to_linear.py' 2024-06-26T05:06:44.1448030Z adding 'executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py' 2024-06-26T05:06:44.1448447Z adding 'executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py' 2024-06-26T05:06:44.1448868Z adding 'executorch/backends/xnnpack/test/serialization/test_serialization.py' 2024-06-26T05:06:44.1449251Z adding 'executorch/backends/xnnpack/test/serialization/test_xnnheader.py' 2024-06-26T05:06:44.1449553Z adding 'executorch/backends/xnnpack/test/tester/__init__.py' 2024-06-26T05:06:44.1449833Z adding 'executorch/backends/xnnpack/test/tester/tester.py' 2024-06-26T05:06:44.1450246Z adding 'executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py' 2024-06-26T05:06:44.1450671Z adding 'executorch/backends/xnnpack/third-party/generate-xnnpack-wrappers.py' 2024-06-26T05:06:44.1451006Z adding 'executorch/backends/xnnpack/third-party/FP16/configure.py' 2024-06-26T05:06:44.1451322Z adding 'executorch/backends/xnnpack/third-party/FP16/confu.yaml' 2024-06-26T05:06:44.1451735Z adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/__init__.py' 2024-06-26T05:06:44.1452108Z adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx.py' 2024-06-26T05:06:44.1452501Z adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx2.py' 2024-06-26T05:06:44.1452889Z adding 'executorch/backends/xnnpack/third-party/FP16/test/peachpy/stubs.py' 2024-06-26T05:06:44.1453278Z adding 'executorch/backends/xnnpack/third-party/FXdiv/configure.py' 2024-06-26T05:06:44.1453615Z adding 'executorch/backends/xnnpack/third-party/FXdiv/confu.yaml' 2024-06-26T05:06:44.1454005Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/eval/f16-tanh.yaml' 2024-06-26T05:06:44.1454392Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/eval/f32-tanh.yaml' 2024-06-26T05:06:44.1454917Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/convert-assembly-to-jit.py' 2024-06-26T05:06:44.1455355Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py' 2024-06-26T05:06:44.1455839Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/src/enums/microkernel-type.yaml' 2024-06-26T05:06:44.1456278Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/src/enums/node-type.yaml' 2024-06-26T05:06:44.1456732Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/src/enums/operator-type.yaml' 2024-06-26T05:06:44.1457190Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml' 2024-06-26T05:06:44.1457586Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/cs16-bfly4.yaml' 2024-06-26T05:06:44.1457977Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/cs16-fftr.yaml' 2024-06-26T05:06:44.1458424Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/cs16-vsquareabs.yaml' 2024-06-26T05:06:44.1458880Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-avgpool-minmax.yaml' 2024-06-26T05:06:44.1459321Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml' 2024-06-26T05:06:44.1460021Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv-minmax-multipass.yaml' 2024-06-26T05:06:44.1460533Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv-minmax-unipass.yaml' 2024-06-26T05:06:44.1460986Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml' 2024-06-26T05:06:44.1461401Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32-vcvt.yaml' 2024-06-26T05:06:44.1461883Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml' 2024-06-26T05:06:44.1462383Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml' 2024-06-26T05:06:44.1462816Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml' 2024-06-26T05:06:44.1463244Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gavgpool-cw.yaml' 2024-06-26T05:06:44.1463730Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gavgpool-minmax.yaml' 2024-06-26T05:06:44.1464144Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-jit.yaml' 2024-06-26T05:06:44.1464591Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml' 2024-06-26T05:06:44.1465035Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml' 2024-06-26T05:06:44.1465457Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml' 2024-06-26T05:06:44.1465887Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-jit.yaml' 2024-06-26T05:06:44.1466328Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml' 2024-06-26T05:06:44.1466781Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-maxpool-minmax.yaml' 2024-06-26T05:06:44.1467255Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-pavgpool-minmax.yaml' 2024-06-26T05:06:44.1467650Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-prelu.yaml' 2024-06-26T05:06:44.1468077Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-qs8-vcvt.yaml' 2024-06-26T05:06:44.1468581Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml' 2024-06-26T05:06:44.1468964Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml' 2024-06-26T05:06:44.1469420Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml' 2024-06-26T05:06:44.1469826Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml' 2024-06-26T05:06:44.1470206Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml' 2024-06-26T05:06:44.1470651Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml' 2024-06-26T05:06:44.1471033Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vabs.yaml' 2024-06-26T05:06:44.1471475Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vadd-minmax.yaml' 2024-06-26T05:06:44.1471918Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vaddc-minmax.yaml' 2024-06-26T05:06:44.1472318Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vclamp.yaml' 2024-06-26T05:06:44.1472721Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vcmul.yaml' 2024-06-26T05:06:44.1473158Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vdiv-minmax.yaml' 2024-06-26T05:06:44.1473598Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vdivc-minmax.yaml' 2024-06-26T05:06:44.1473993Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-velu.yaml' 2024-06-26T05:06:44.1474397Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vhswish.yaml' 2024-06-26T05:06:44.1474806Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vlrelu.yaml' 2024-06-26T05:06:44.1475191Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmax.yaml' 2024-06-26T05:06:44.1475635Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmaxc.yaml' 2024-06-26T05:06:44.1476031Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmin.yaml' 2024-06-26T05:06:44.1476421Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vminc.yaml' 2024-06-26T05:06:44.1476850Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmul-minmax.yaml' 2024-06-26T05:06:44.1477308Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulc-minmax.yaml' 2024-06-26T05:06:44.1477773Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml' 2024-06-26T05:06:44.1478251Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vneg.yaml' 2024-06-26T05:06:44.1478711Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vrdivc-minmax.yaml' 2024-06-26T05:06:44.1479101Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vrndd.yaml' 2024-06-26T05:06:44.1479514Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vrndne.yaml' 2024-06-26T05:06:44.1479905Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vrndu.yaml' 2024-06-26T05:06:44.1480291Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vrndz.yaml' 2024-06-26T05:06:44.1480747Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vrsubc-minmax.yaml' 2024-06-26T05:06:44.1481164Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsigmoid.yaml' 2024-06-26T05:06:44.1481549Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsqr.yaml' 2024-06-26T05:06:44.1481971Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsqrdiff.yaml' 2024-06-26T05:06:44.1482390Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsqrdiffc.yaml' 2024-06-26T05:06:44.1482793Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsqrt.yaml' 2024-06-26T05:06:44.1483228Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsub-minmax.yaml' 2024-06-26T05:06:44.1483669Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsubc-minmax.yaml' 2024-06-26T05:06:44.1484079Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vtanh.yaml' 2024-06-26T05:06:44.1484676Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml' 2024-06-26T05:06:44.1485215Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-avgpool-minmax.yaml' 2024-06-26T05:06:44.1485635Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml' 2024-06-26T05:06:44.1486086Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml' 2024-06-26T05:06:44.1486618Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv-minmax-multipass.yaml' 2024-06-26T05:06:44.1487133Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv-minmax-unipass.yaml' 2024-06-26T05:06:44.1487622Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv-multipass.yaml' 2024-06-26T05:06:44.1488079Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv-unipass.yaml' 2024-06-26T05:06:44.1488534Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml' 2024-06-26T05:06:44.1488947Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-f16-vcvt.yaml' 2024-06-26T05:06:44.1489386Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gavgpool-cw.yaml' 2024-06-26T05:06:44.1489861Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gavgpool-minmax.yaml' 2024-06-26T05:06:44.1490321Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml' 2024-06-26T05:06:44.1490731Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-jit.yaml' 2024-06-26T05:06:44.1491173Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-minmax.yaml' 2024-06-26T05:06:44.1491666Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml' 2024-06-26T05:06:44.1492063Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml' 2024-06-26T05:06:44.1492518Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml' 2024-06-26T05:06:44.1492963Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml' 2024-06-26T05:06:44.1493404Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml' 2024-06-26T05:06:44.1493817Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-jit.yaml' 2024-06-26T05:06:44.1494257Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml' 2024-06-26T05:06:44.1494697Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml' 2024-06-26T05:06:44.1495085Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml' 2024-06-26T05:06:44.1495557Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-maxpool-minmax.yaml' 2024-06-26T05:06:44.1496020Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-pavgpool-minmax.yaml' 2024-06-26T05:06:44.1496453Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml' 2024-06-26T05:06:44.1496859Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-prelu.yaml' 2024-06-26T05:06:44.1497329Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml' 2024-06-26T05:06:44.1497797Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml' 2024-06-26T05:06:44.1498263Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml' 2024-06-26T05:06:44.1498683Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml' 2024-06-26T05:06:44.1499103Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qs8-vcvt.yaml' 2024-06-26T05:06:44.1499521Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qu8-vcvt.yaml' 2024-06-26T05:06:44.1500068Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml' 2024-06-26T05:06:44.1500514Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml' 2024-06-26T05:06:44.1501021Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml' 2024-06-26T05:06:44.1501475Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml' 2024-06-26T05:06:44.1501875Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml' 2024-06-26T05:06:44.1502279Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml' 2024-06-26T05:06:44.1502665Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml' 2024-06-26T05:06:44.1503095Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml' 2024-06-26T05:06:44.1503481Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vabs.yaml' 2024-06-26T05:06:44.1503925Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vadd-minmax.yaml' 2024-06-26T05:06:44.1504346Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vadd-relu.yaml' 2024-06-26T05:06:44.1504732Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vadd.yaml' 2024-06-26T05:06:44.1505188Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vaddc-minmax.yaml' 2024-06-26T05:06:44.1505611Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vaddc-relu.yaml' 2024-06-26T05:06:44.1506003Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vaddc.yaml' 2024-06-26T05:06:44.1506414Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vclamp.yaml' 2024-06-26T05:06:44.1506803Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vcmul.yaml' 2024-06-26T05:06:44.1507305Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vdiv-minmax.yaml' 2024-06-26T05:06:44.1507724Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vdiv-relu.yaml' 2024-06-26T05:06:44.1508107Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vdiv.yaml' 2024-06-26T05:06:44.1508557Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vdivc-minmax.yaml' 2024-06-26T05:06:44.1508989Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vdivc-relu.yaml' 2024-06-26T05:06:44.1509381Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vdivc.yaml' 2024-06-26T05:06:44.1509772Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-velu.yaml' 2024-06-26T05:06:44.1510174Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vhswish.yaml' 2024-06-26T05:06:44.1510581Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vlrelu.yaml' 2024-06-26T05:06:44.1510966Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmax.yaml' 2024-06-26T05:06:44.1511361Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmaxc.yaml' 2024-06-26T05:06:44.1511751Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmin.yaml' 2024-06-26T05:06:44.1512140Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vminc.yaml' 2024-06-26T05:06:44.1512579Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmul-minmax.yaml' 2024-06-26T05:06:44.1513014Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmul-relu.yaml' 2024-06-26T05:06:44.1513393Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmul.yaml' 2024-06-26T05:06:44.1513842Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulc-minmax.yaml' 2024-06-26T05:06:44.1514267Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulc-relu.yaml' 2024-06-26T05:06:44.1514657Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulc.yaml' 2024-06-26T05:06:44.1515141Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml' 2024-06-26T05:06:44.1515523Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vneg.yaml' 2024-06-26T05:06:44.1515973Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrdivc-minmax.yaml' 2024-06-26T05:06:44.1516420Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrdivc-relu.yaml' 2024-06-26T05:06:44.1516873Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrdivc.yaml' 2024-06-26T05:06:44.1517276Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrelu.yaml' 2024-06-26T05:06:44.1517665Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrndd.yaml' 2024-06-26T05:06:44.1518182Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrndne.yaml' 2024-06-26T05:06:44.1518589Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrndu.yaml' 2024-06-26T05:06:44.1518983Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrndz.yaml' 2024-06-26T05:06:44.1519381Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrsqrt.yaml' 2024-06-26T05:06:44.1519842Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrsubc-minmax.yaml' 2024-06-26T05:06:44.1520276Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrsubc-relu.yaml' 2024-06-26T05:06:44.1520674Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrsubc.yaml' 2024-06-26T05:06:44.1521167Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml' 2024-06-26T05:06:44.1521607Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml' 2024-06-26T05:06:44.1522027Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsigmoid.yaml' 2024-06-26T05:06:44.1522414Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsqr.yaml' 2024-06-26T05:06:44.1522911Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsqrdiff.yaml' 2024-06-26T05:06:44.1523344Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsqrdiffc.yaml' 2024-06-26T05:06:44.1523733Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsqrt.yaml' 2024-06-26T05:06:44.1524165Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsub-minmax.yaml' 2024-06-26T05:06:44.1524601Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsub-relu.yaml' 2024-06-26T05:06:44.1524984Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsub.yaml' 2024-06-26T05:06:44.1525436Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsubc-minmax.yaml' 2024-06-26T05:06:44.1525861Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsubc-relu.yaml' 2024-06-26T05:06:44.1526247Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsubc.yaml' 2024-06-26T05:06:44.1526649Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vtanh.yaml' 2024-06-26T05:06:44.1527058Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/i16-vlshift.yaml' 2024-06-26T05:06:44.1527557Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc4w-gemm-minmax.yaml' 2024-06-26T05:06:44.1528069Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml' 2024-06-26T05:06:44.1528581Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml' 2024-06-26T05:06:44.1529089Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc4w-gemm-minmax.yaml' 2024-06-26T05:06:44.1529585Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-gemm-minmax.yaml' 2024-06-26T05:06:44.1530091Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-igemm-minmax.yaml' 2024-06-26T05:06:44.1530526Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs16-qs8-vcvt.yaml' 2024-06-26T05:06:44.1531102Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-dwconv-minmax-multipass-fp32.yaml' 2024-06-26T05:06:44.1531682Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-dwconv-minmax-multipass-rndnu.yaml' 2024-06-26T05:06:44.1532245Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-dwconv-minmax-unipass-fp32.yaml' 2024-06-26T05:06:44.1532873Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-dwconv-minmax-unipass-rndnu.yaml' 2024-06-26T05:06:44.1533302Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-f16-vcvt.yaml' 2024-06-26T05:06:44.1533719Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-f32-vcvt.yaml' 2024-06-26T05:06:44.1534226Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-gavgpool-minmax-fp32.yaml' 2024-06-26T05:06:44.1534749Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-gavgpool-minmax-rndnu.yaml' 2024-06-26T05:06:44.1535365Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-dwconv-minmax-multipass-fp32.yaml' 2024-06-26T05:06:44.1535961Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-dwconv-minmax-unipass-fp32.yaml' 2024-06-26T05:06:44.1536455Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-jit-fp32.yaml' 2024-06-26T05:06:44.1536966Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-minmax-fp32.yaml' 2024-06-26T05:06:44.1537475Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-jit-fp32.yaml' 2024-06-26T05:06:44.1537994Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-minmax-fp32.yaml' 2024-06-26T05:06:44.1538430Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vadd-minmax.yaml' 2024-06-26T05:06:44.1538884Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vaddc-minmax.yaml' 2024-06-26T05:06:44.1539273Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vcvt.yaml' 2024-06-26T05:06:44.1539829Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vhswish.yaml' 2024-06-26T05:06:44.1540243Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vlrelu.yaml' 2024-06-26T05:06:44.1540714Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vmul-minmax-fp32.yaml' 2024-06-26T05:06:44.1541212Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vmul-minmax-rndnu.yaml' 2024-06-26T05:06:44.1541690Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vmulc-minmax-fp32.yaml' 2024-06-26T05:06:44.1542175Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vmulc-minmax-rndnu.yaml' 2024-06-26T05:06:44.1542678Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-avgpool-minmax-fp32.yaml' 2024-06-26T05:06:44.1543249Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-dwconv-minmax-multipass-fp32.yaml' 2024-06-26T05:06:44.1543843Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-dwconv-minmax-multipass-rndnu.yaml' 2024-06-26T05:06:44.1544396Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-dwconv-minmax-unipass-fp32.yaml' 2024-06-26T05:06:44.1544955Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-dwconv-minmax-unipass-rndnu.yaml' 2024-06-26T05:06:44.1545381Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-f32-vcvt.yaml' 2024-06-26T05:06:44.1545891Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gavgpool-minmax-fp32.yaml' 2024-06-26T05:06:44.1546402Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gavgpool-minmax-rndnu.yaml' 2024-06-26T05:06:44.1546885Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml' 2024-06-26T05:06:44.1547357Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-rndnu.yaml' 2024-06-26T05:06:44.1547843Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-fp32.yaml' 2024-06-26T05:06:44.1548335Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-rndnu.yaml' 2024-06-26T05:06:44.1548772Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vadd-minmax.yaml' 2024-06-26T05:06:44.1549223Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vaddc-minmax.yaml' 2024-06-26T05:06:44.1549665Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vcvt.yaml' 2024-06-26T05:06:44.1550072Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vhswish.yaml' 2024-06-26T05:06:44.1550484Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vlrelu.yaml' 2024-06-26T05:06:44.1550954Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vmul-minmax-fp32.yaml' 2024-06-26T05:06:44.1551441Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vmul-minmax-rndnu.yaml' 2024-06-26T05:06:44.1551920Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vmulc-minmax-fp32.yaml' 2024-06-26T05:06:44.1552410Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vmulc-minmax-rndnu.yaml' 2024-06-26T05:06:44.1552825Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/s16-rmaxabs.yaml' 2024-06-26T05:06:44.1553224Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/s16-window.yaml' 2024-06-26T05:06:44.1553647Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml' 2024-06-26T05:06:44.1554111Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/s8-maxpool-minmax.yaml' 2024-06-26T05:06:44.1554507Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/s8-vclamp.yaml' 2024-06-26T05:06:44.1555015Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u32-filterbank-accumulate.yaml' 2024-06-26T05:06:44.1555520Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u32-filterbank-subtract.yaml' 2024-06-26T05:06:44.1555904Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u32-vlog.yaml' 2024-06-26T05:06:44.1556435Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u64-u32-vsqrtshift.yaml' 2024-06-26T05:06:44.1556851Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml' 2024-06-26T05:06:44.1557264Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml' 2024-06-26T05:06:44.1557732Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-maxpool-minmax.yaml' 2024-06-26T05:06:44.1558210Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml' 2024-06-26T05:06:44.1558611Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-vclamp.yaml' 2024-06-26T05:06:44.1559018Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x16-packw.yaml' 2024-06-26T05:06:44.1559441Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x16-transpose.yaml' 2024-06-26T05:06:44.1559877Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x24-transpose.yaml' 2024-06-26T05:06:44.1560274Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x32-packb.yaml' 2024-06-26T05:06:44.1560664Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x32-packw.yaml' 2024-06-26T05:06:44.1561066Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x32-packx.yaml' 2024-06-26T05:06:44.1561490Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x32-transpose.yaml' 2024-06-26T05:06:44.1561881Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x32-zerob.yaml' 2024-06-26T05:06:44.1562316Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x64-transpose.yaml' 2024-06-26T05:06:44.1562690Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml' 2024-06-26T05:06:44.1563092Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x8-packw.yaml' 2024-06-26T05:06:44.1563509Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x8-transpose.yaml' 2024-06-26T05:06:44.1563896Z adding 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2024-06-26T05:06:44.1568353Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py' 2024-06-26T05:06:44.1568901Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py' 2024-06-26T05:06:44.1569435Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py' 2024-06-26T05:06:44.1569970Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py' 2024-06-26T05:06:44.1570385Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-enum.py' 2024-06-26T05:06:44.1570847Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-fftr-test.py' 2024-06-26T05:06:44.1571293Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-fill-test.py' 2024-06-26T05:06:44.1571884Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-filterbank-accumulate-test.py' 2024-06-26T05:06:44.1572535Z adding 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2024-06-26T05:06:44.4509912Z adding 'executorch/examples/models/llama2/tokenizer/test/test_tokenizer.py' 2024-06-26T05:06:44.4511968Z adding 'executorch/examples/models/llava_encoder/__init__.py' 2024-06-26T05:06:44.4515049Z adding 'executorch/examples/models/llava_encoder/model.py' 2024-06-26T05:06:44.4516177Z adding 'executorch/examples/models/mobilebert/__init__.py' 2024-06-26T05:06:44.4518877Z adding 'executorch/examples/models/mobilebert/model.py' 2024-06-26T05:06:44.4520071Z adding 'executorch/examples/models/mobilenet_v2/__init__.py' 2024-06-26T05:06:44.4522156Z adding 'executorch/examples/models/mobilenet_v2/model.py' 2024-06-26T05:06:44.4523779Z adding 'executorch/examples/models/mobilenet_v3/__init__.py' 2024-06-26T05:06:44.4526264Z adding 'executorch/examples/models/mobilenet_v3/model.py' 2024-06-26T05:06:44.4528705Z adding 'executorch/examples/models/phi-3-mini/export_model.py' 2024-06-26T05:06:44.4533012Z adding 'executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/setup.py' 2024-06-26T05:06:44.4544246Z adding 'executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/src/sentencepiece/__init__.py' 2024-06-26T05:06:44.4547004Z adding 'executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/src/sentencepiece/_version.py' 2024-06-26T05:06:44.4550454Z adding 'executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_model_pb2.py' 2024-06-26T05:06:44.4552411Z adding 'executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_pb2.py' 2024-06-26T05:06:44.4554673Z adding 'executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/test/__init__.py' 2024-06-26T05:06:44.4563403Z adding 'executorch/examples/models/phi-3-mini/third-party/sentencepiece/python/test/sentencepiece_test.py' 2024-06-26T05:06:44.4566047Z adding 'executorch/examples/models/resnet/__init__.py' 2024-06-26T05:06:44.4568154Z adding 'executorch/examples/models/resnet/model.py' 2024-06-26T05:06:44.4570693Z adding 'executorch/examples/models/torchvision_vit/__init__.py' 2024-06-26T05:06:44.4572673Z adding 'executorch/examples/models/torchvision_vit/model.py' 2024-06-26T05:06:44.4574830Z adding 'executorch/examples/models/toy_model/__init__.py' 2024-06-26T05:06:44.4576927Z adding 'executorch/examples/models/toy_model/model.py' 2024-06-26T05:06:44.4579216Z adding 'executorch/examples/models/wav2letter/__init__.py' 2024-06-26T05:06:44.4581279Z adding 'executorch/examples/models/wav2letter/model.py' 2024-06-26T05:06:44.4583967Z adding 'executorch/exir/__init__.py' 2024-06-26T05:06:44.4586762Z adding 'executorch/exir/common.py' 2024-06-26T05:06:44.4590289Z adding 'executorch/exir/control_flow.py' 2024-06-26T05:06:44.4593411Z adding 'executorch/exir/delegate.py' 2024-06-26T05:06:44.4596124Z adding 'executorch/exir/dim_order_utils.py' 2024-06-26T05:06:44.4597831Z adding 'executorch/exir/dynamic_shape.py' 2024-06-26T05:06:44.4600355Z adding 'executorch/exir/error.py' 2024-06-26T05:06:44.4602909Z adding 'executorch/exir/graph.py' 2024-06-26T05:06:44.4605316Z adding 'executorch/exir/graph_module.py' 2024-06-26T05:06:44.4614504Z adding 'executorch/exir/lowered_backend_module.py' 2024-06-26T05:06:44.4617369Z adding 'executorch/exir/memory.py' 2024-06-26T05:06:44.4626912Z adding 'executorch/exir/memory_planning.py' 2024-06-26T05:06:44.4635207Z adding 'executorch/exir/pass_base.py' 2024-06-26T05:06:44.4638638Z adding 'executorch/exir/pass_manager.py' 2024-06-26T05:06:44.4644303Z adding 'executorch/exir/print_program.py' 2024-06-26T05:06:44.4646873Z adding 'executorch/exir/scalar_type.py' 2024-06-26T05:06:44.4650204Z adding 'executorch/exir/schema.py' 2024-06-26T05:06:44.4652402Z adding 'executorch/exir/sym_util.py' 2024-06-26T05:06:44.4657770Z adding 'executorch/exir/tensor.py' 2024-06-26T05:06:44.4667392Z adding 'executorch/exir/tracer.py' 2024-06-26T05:06:44.4669898Z adding 'executorch/exir/types.py' 2024-06-26T05:06:44.4672405Z adding 'executorch/exir/version.py' 2024-06-26T05:06:44.4674365Z adding 'executorch/exir/wrap.py' 2024-06-26T05:06:44.4677276Z adding 'executorch/exir/_serialize/__init__.py' 2024-06-26T05:06:44.4681147Z adding 'executorch/exir/_serialize/_cord.py' 2024-06-26T05:06:44.4683625Z adding 'executorch/exir/_serialize/_dataclass.py' 2024-06-26T05:06:44.4688202Z adding 'executorch/exir/_serialize/_flatbuffer.py' 2024-06-26T05:06:44.4696160Z adding 'executorch/exir/_serialize/_program.py' 2024-06-26T05:06:44.4702465Z adding 'executorch/exir/_serialize/program.fbs' 2024-06-26T05:06:44.4705306Z adding 'executorch/exir/_serialize/scalar_type.fbs' 2024-06-26T05:06:44.4706763Z adding 'executorch/exir/_serialize/test/__init__.py' 2024-06-26T05:06:44.4709007Z adding 'executorch/exir/_serialize/test/test_cord.py' 2024-06-26T05:06:44.4712953Z adding 'executorch/exir/_serialize/test/test_flatbuffer.py' 2024-06-26T05:06:44.4722530Z adding 'executorch/exir/_serialize/test/test_program.py' 2024-06-26T05:06:44.4729211Z adding 'executorch/exir/backend/backend_api.py' 2024-06-26T05:06:44.4732601Z adding 'executorch/exir/backend/backend_details.py' 2024-06-26T05:06:44.4733664Z adding 'executorch/exir/backend/compile_spec_schema.py' 2024-06-26T05:06:44.4737114Z adding 'executorch/exir/backend/partitioner.py' 2024-06-26T05:06:44.4745996Z adding 'executorch/exir/backend/utils.py' 2024-06-26T05:06:44.4750835Z adding 'executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py' 2024-06-26T05:06:44.4754060Z adding 'executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py' 2024-06-26T05:06:44.4756511Z adding 'executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py' 2024-06-26T05:06:44.4760260Z adding 'executorch/exir/backend/test/backend_with_compiler_demo.py' 2024-06-26T05:06:44.4763845Z adding 'executorch/exir/backend/test/backend_with_delegate_mapping_demo.py' 2024-06-26T05:06:44.4767465Z adding 'executorch/exir/backend/test/hta_partitioner_demo.py' 2024-06-26T05:06:44.4771180Z adding 'executorch/exir/backend/test/op_partitioner_demo.py' 2024-06-26T05:06:44.4772427Z adding 'executorch/exir/backend/test/qnn_backend_demo.py' 2024-06-26T05:06:44.4782581Z adding 'executorch/exir/backend/test/test_backends.py' 2024-06-26T05:06:44.4793215Z adding 'executorch/exir/backend/test/test_backends_lifted.py' 2024-06-26T05:06:44.4798200Z adding 'executorch/exir/backend/test/test_backends_nested.py' 2024-06-26T05:06:44.4801798Z adding 'executorch/exir/backend/test/test_debug_handle_map.py' 2024-06-26T05:06:44.4805358Z adding 'executorch/exir/backend/test/test_delegate_map_builder.py' 2024-06-26T05:06:44.4808351Z adding 'executorch/exir/backend/test/test_graph_partition.py' 2024-06-26T05:06:44.4811606Z adding 'executorch/exir/backend/test/test_lowered_backend_module.py' 2024-06-26T05:06:44.4816409Z adding 'executorch/exir/backend/test/test_partitioner.py' 2024-06-26T05:06:44.4820533Z adding 'executorch/exir/backend/test/test_passes.py' 2024-06-26T05:06:44.4823703Z adding 'executorch/exir/backend/test/test_utils.py' 2024-06-26T05:06:44.4826031Z adding 'executorch/exir/backend/test/demos/test_delegate_aten_mode.py' 2024-06-26T05:06:44.4828214Z adding 'executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py' 2024-06-26T05:06:44.4831052Z adding 'executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py' 2024-06-26T05:06:44.4833052Z adding 'executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py' 2024-06-26T05:06:44.4836242Z adding 'executorch/exir/backend/test/demos/rpc/test_rpc.py' 2024-06-26T05:06:44.4838546Z adding 'executorch/exir/capture/__init__.py' 2024-06-26T05:06:44.4843029Z adding 'executorch/exir/capture/_capture.py' 2024-06-26T05:06:44.4845945Z adding 'executorch/exir/capture/_config.py' 2024-06-26T05:06:44.4848788Z adding 'executorch/exir/capture/_unlift.py' 2024-06-26T05:06:44.4850912Z adding 'executorch/exir/dialects/__init__.py' 2024-06-26T05:06:44.4853890Z adding 'executorch/exir/dialects/_ops.py' 2024-06-26T05:06:44.4857100Z adding 'executorch/exir/dialects/backend/_ops.py' 2024-06-26T05:06:44.4859914Z adding 'executorch/exir/dialects/backend/test/test_backend_ops.py' 2024-06-26T05:06:44.4865368Z adding 'executorch/exir/dialects/edge/_ops.py' 2024-06-26T05:06:44.4884688Z adding 'executorch/exir/dialects/edge/edge.yaml' 2024-06-26T05:06:44.4890894Z adding 'executorch/exir/dialects/edge/arg/model.py' 2024-06-26T05:06:44.4892970Z adding 'executorch/exir/dialects/edge/arg/type.py' 2024-06-26T05:06:44.4896167Z adding 'executorch/exir/dialects/edge/dtype/runner.py' 2024-06-26T05:06:44.4898240Z adding 'executorch/exir/dialects/edge/dtype/supported.py' 2024-06-26T05:06:44.4900242Z adding 'executorch/exir/dialects/edge/dtype/utils.py' 2024-06-26T05:06:44.4903066Z adding 'executorch/exir/dialects/edge/op/api.py' 2024-06-26T05:06:44.4909110Z adding 'executorch/exir/dialects/edge/op/sample_input.py' 2024-06-26T05:06:44.4912396Z adding 'executorch/exir/dialects/edge/op/test/test_api.py' 2024-06-26T05:06:44.4919537Z adding 'executorch/exir/dialects/edge/spec/gen.py' 2024-06-26T05:06:44.4924971Z adding 'executorch/exir/dialects/edge/spec/utils.py' 2024-06-26T05:06:44.4929455Z adding 'executorch/exir/dialects/edge/test/test_edge_ops.py' 2024-06-26T05:06:44.4933286Z adding 'executorch/exir/dialects/edge/test/test_edge_yaml.py' 2024-06-26T05:06:44.4935762Z adding 'executorch/exir/dialects/test/test_exir_dialect_ops.py' 2024-06-26T05:06:44.4937760Z adding 'executorch/exir/emit/__init__.py' 2024-06-26T05:06:44.4940761Z adding 'executorch/exir/emit/_emit_program.py' 2024-06-26T05:06:44.4962492Z adding 'executorch/exir/emit/_emitter.py' 2024-06-26T05:06:44.4976866Z adding 'executorch/exir/emit/test/test_emit.py' 2024-06-26T05:06:44.4983298Z adding 'executorch/exir/operator/convert.py' 2024-06-26T05:06:44.4985962Z adding 'executorch/exir/operator/manip.py' 2024-06-26T05:06:44.4988121Z adding 'executorch/exir/operator/util.py' 2024-06-26T05:06:44.4990669Z adding 'executorch/exir/operator/test/test_operator.py' 2024-06-26T05:06:44.4997597Z adding 'executorch/exir/passes/__init__.py' 2024-06-26T05:06:44.5004179Z adding 'executorch/exir/passes/_quant_patterns_and_replacements.py' 2024-06-26T05:06:44.5007087Z adding 'executorch/exir/passes/const_prop_pass.py' 2024-06-26T05:06:44.5011115Z adding 'executorch/exir/passes/constant_prop_pass.py' 2024-06-26T05:06:44.5013540Z adding 'executorch/exir/passes/debug_handle_generator_pass.py' 2024-06-26T05:06:44.5015546Z adding 'executorch/exir/passes/dim_order_ops_registry.py' 2024-06-26T05:06:44.5019818Z adding 'executorch/exir/passes/dynamic_shape_prop_pass.py' 2024-06-26T05:06:44.5022573Z adding 'executorch/exir/passes/executorch_prim_ops_registry.py' 2024-06-26T05:06:44.5025401Z adding 'executorch/exir/passes/insert_write_back_for_buffers_pass.py' 2024-06-26T05:06:44.5027882Z adding 'executorch/exir/passes/memory_format_ops_pass.py' 2024-06-26T05:06:44.5030489Z adding 'executorch/exir/passes/memory_planning_pass.py' 2024-06-26T05:06:44.5032657Z adding 'executorch/exir/passes/normalize_transpose_pass.py' 2024-06-26T05:06:44.5034913Z adding 'executorch/exir/passes/normalize_view_copy_base_pass.py' 2024-06-26T05:06:44.5037193Z adding 'executorch/exir/passes/pass_registry.py' 2024-06-26T05:06:44.5040108Z adding 'executorch/exir/passes/quant_fusion_pass.py' 2024-06-26T05:06:44.5042353Z adding 'executorch/exir/passes/remove_graph_asserts_pass.py' 2024-06-26T05:06:44.5044668Z adding 'executorch/exir/passes/remove_mixed_type_operators.py' 2024-06-26T05:06:44.5048043Z adding 'executorch/exir/passes/remove_noop_pass.py' 2024-06-26T05:06:44.5050409Z adding 'executorch/exir/passes/replace_aten_with_edge_pass.py' 2024-06-26T05:06:44.5052344Z adding 'executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py' 2024-06-26T05:06:44.5054543Z adding 'executorch/exir/passes/replace_edge_with_backend_pass.py' 2024-06-26T05:06:44.5056398Z adding 'executorch/exir/passes/replace_sym_size_op_pass.py' 2024-06-26T05:06:44.5060547Z adding 'executorch/exir/passes/replace_view_copy_with_view_pass.py' 2024-06-26T05:06:44.5062772Z adding 'executorch/exir/passes/scalar_to_tensor_pass.py' 2024-06-26T05:06:44.5065447Z adding 'executorch/exir/passes/spec_prop_pass.py' 2024-06-26T05:06:44.5069991Z adding 'executorch/exir/passes/sym_shape_eval_pass.py' 2024-06-26T05:06:44.5072538Z adding 'executorch/exir/passes/sym_to_tensor_pass.py' 2024-06-26T05:06:44.5074823Z adding 'executorch/exir/program/__init__.py' 2024-06-26T05:06:44.5077059Z adding 'executorch/exir/program/_fake_program.py' 2024-06-26T05:06:44.5093605Z adding 'executorch/exir/program/_program.py' 2024-06-26T05:06:44.5096990Z adding 'executorch/exir/program/test/__init__.py' 2024-06-26T05:06:44.5099350Z adding 'executorch/exir/program/test/test_fake_program.py' 2024-06-26T05:06:44.5104984Z adding 'executorch/exir/program/test/test_program.py' 2024-06-26T05:06:44.5107638Z adding 'executorch/exir/serde/__init__.py' 2024-06-26T05:06:44.5129777Z adding 'executorch/exir/serde/export_serialize.py' 2024-06-26T05:06:44.5132848Z adding 'executorch/exir/serde/schema.py' 2024-06-26T05:06:44.5142205Z adding 'executorch/exir/serde/serialize.py' 2024-06-26T05:06:44.5145826Z adding 'executorch/exir/tests/asr_joiner.py' 2024-06-26T05:06:44.5148779Z adding 'executorch/exir/tests/common.py' 2024-06-26T05:06:44.5151093Z adding 'executorch/exir/tests/control_flow_models.py' 2024-06-26T05:06:44.5153044Z adding 'executorch/exir/tests/dynamic_shape_models.py' 2024-06-26T05:06:44.5158831Z adding 'executorch/exir/tests/models.py' 2024-06-26T05:06:44.5161567Z adding 'executorch/exir/tests/test_arg_validator.py' 2024-06-26T05:06:44.5163777Z adding 'executorch/exir/tests/test_capture.py' 2024-06-26T05:06:44.5166375Z adding 'executorch/exir/tests/test_common.py' 2024-06-26T05:06:44.5175983Z adding 'executorch/exir/tests/test_delegate.py' 2024-06-26T05:06:44.5176965Z adding 'executorch/exir/tests/test_dim_order_utils.py' 2024-06-26T05:06:44.5178159Z adding 'executorch/exir/tests/test_dynamic_shape_propagation.py' 2024-06-26T05:06:44.5179148Z adding 'executorch/exir/tests/test_error.py' 2024-06-26T05:06:44.5180219Z adding 'executorch/exir/tests/test_memory_format_ops_pass.py' 2024-06-26T05:06:44.5182769Z adding 'executorch/exir/tests/test_memory_format_ops_pass_aten.py' 2024-06-26T05:06:44.5185163Z adding 'executorch/exir/tests/test_memory_format_ops_pass_utils.py' 2024-06-26T05:06:44.5190739Z adding 'executorch/exir/tests/test_memory_planning.py' 2024-06-26T05:06:44.5193765Z adding 'executorch/exir/tests/test_op_convert.py' 2024-06-26T05:06:44.5196699Z adding 'executorch/exir/tests/test_pass_infra.py' 2024-06-26T05:06:44.5210658Z adding 'executorch/exir/tests/test_passes.py' 2024-06-26T05:06:44.5214212Z adding 'executorch/exir/tests/test_print_program.py' 2024-06-26T05:06:44.5218183Z adding 'executorch/exir/tests/test_quant_fusion_pass.py' 2024-06-26T05:06:44.5221210Z adding 'executorch/exir/tests/test_quantization.py' 2024-06-26T05:06:44.5225001Z adding 'executorch/exir/tests/test_remove_view_copy.py' 2024-06-26T05:06:44.5228457Z adding 'executorch/exir/tests/test_serde.py' 2024-06-26T05:06:44.5232170Z adding 'executorch/exir/tests/test_tensor.py' 2024-06-26T05:06:44.5237496Z adding 'executorch/exir/tests/test_tracer.py' 2024-06-26T05:06:44.5241463Z adding 'executorch/exir/tests/test_verification.py' 2024-06-26T05:06:44.5244511Z adding 'executorch/exir/tests/transformer.py' 2024-06-26T05:06:44.5247935Z adding 'executorch/exir/verification/arg_validator.py' 2024-06-26T05:06:44.5250385Z adding 'executorch/exir/verification/dev_html.py' 2024-06-26T05:06:44.5255571Z adding 'executorch/exir/verification/interpreter.py' 2024-06-26T05:06:44.5259903Z adding 'executorch/exir/verification/verifier.py' 2024-06-26T05:06:44.5263254Z adding 'executorch/exir/verification/test/test_verifier.py' 2024-06-26T05:06:44.5266138Z adding 'executorch/extension/gguf_util/convert_main.py' 2024-06-26T05:06:44.5268310Z adding 'executorch/extension/gguf_util/converter.py' 2024-06-26T05:06:44.5270660Z adding 'executorch/extension/gguf_util/load_gguf.py' 2024-06-26T05:06:44.5273624Z adding 'executorch/extension/gguf_util/converters/llama_converter.py' 2024-06-26T05:06:45.1216997Z adding 'executorch/extension/pybindings/_portable_lib.cpython-310-x86_64-linux-gnu.so' 2024-06-26T05:06:45.1688705Z adding 'executorch/extension/pybindings/portable_lib.py' 2024-06-26T05:06:45.1689946Z adding 'executorch/extension/pybindings/pybindings.pyi' 2024-06-26T05:06:45.1694054Z adding 'executorch/extension/pybindings/test/make_test.py' 2024-06-26T05:06:45.1695618Z adding 'executorch/extension/pybindings/test/test_pybindings.py' 2024-06-26T05:06:45.1697387Z adding 'executorch/extension/pytree/__init__.py' 2024-06-26T05:06:45.1701730Z adding 'executorch/extension/pytree/test/test.py' 2024-06-26T05:06:45.1707878Z adding 'executorch/schema/program.fbs' 2024-06-26T05:06:45.1710402Z adding 'executorch/schema/scalar_type.fbs' 2024-06-26T05:06:45.1712169Z adding 'executorch/sdk/__init__.py' 2024-06-26T05:06:45.1715219Z adding 'executorch/sdk/bundled_program/config.py' 2024-06-26T05:06:45.1720344Z adding 'executorch/sdk/bundled_program/core.py' 2024-06-26T05:06:45.1724261Z adding 'executorch/sdk/bundled_program/version.py' 2024-06-26T05:06:45.1725556Z adding 'executorch/sdk/bundled_program/schema/__init__.py' 2024-06-26T05:06:45.1727647Z adding 'executorch/sdk/bundled_program/schema/bundled_program_schema.fbs' 2024-06-26T05:06:45.1730063Z adding 'executorch/sdk/bundled_program/schema/bundled_program_schema.py' 2024-06-26T05:06:45.1733440Z adding 'executorch/sdk/bundled_program/schema/scalar_type.fbs' 2024-06-26T05:06:45.1734922Z adding 'executorch/sdk/bundled_program/schema/test/test_schema.py' 2024-06-26T05:06:45.1737782Z adding 'executorch/sdk/bundled_program/serialize/__init__.py' 2024-06-26T05:06:45.1739472Z adding 'executorch/sdk/bundled_program/serialize/bundled_program_schema.fbs' 2024-06-26T05:06:45.1744591Z adding 'executorch/sdk/bundled_program/serialize/scalar_type.fbs' 2024-06-26T05:06:45.1745498Z adding 'executorch/sdk/bundled_program/serialize/test/test_serialize.py' 2024-06-26T05:06:45.1748365Z adding 'executorch/sdk/bundled_program/test/test_bundle_data.py' 2024-06-26T05:06:45.1750723Z adding 'executorch/sdk/bundled_program/test/test_config.py' 2024-06-26T05:06:45.1752472Z adding 'executorch/sdk/bundled_program/test/test_end2end.py' 2024-06-26T05:06:45.1756635Z adding 'executorch/sdk/bundled_program/util/test_util.py' 2024-06-26T05:06:45.1759179Z adding 'executorch/sdk/debug_format/base_schema.py' 2024-06-26T05:06:45.1764200Z adding 'executorch/sdk/debug_format/et_schema.py' 2024-06-26T05:06:45.1767824Z adding 'executorch/sdk/etdump/etdump_schema_flatcc.fbs' 2024-06-26T05:06:45.1769733Z adding 'executorch/sdk/etdump/scalar_type.fbs' 2024-06-26T05:06:45.1772388Z adding 'executorch/sdk/etdump/schema_flatcc.py' 2024-06-26T05:06:45.1774722Z adding 'executorch/sdk/etdump/serialize.py' 2024-06-26T05:06:45.1777696Z adding 'executorch/sdk/etdump/tests/serialize_test.py' 2024-06-26T05:06:45.1779945Z adding 'executorch/sdk/etrecord/__init__.py' 2024-06-26T05:06:45.1784897Z adding 'executorch/sdk/etrecord/_etrecord.py' 2024-06-26T05:06:45.1788277Z adding 'executorch/sdk/etrecord/tests/etrecord_test.py' 2024-06-26T05:06:45.1790458Z adding 'executorch/sdk/inspector/__init__.py' 2024-06-26T05:06:45.1805463Z adding 'executorch/sdk/inspector/_inspector.py' 2024-06-26T05:06:45.1811284Z adding 'executorch/sdk/inspector/_inspector_utils.py' 2024-06-26T05:06:45.1813563Z adding 'executorch/sdk/inspector/inspector_cli.py' 2024-06-26T05:06:45.1818270Z adding 'executorch/sdk/inspector/tests/event_blocks_test.py' 2024-06-26T05:06:45.1822183Z adding 'executorch/sdk/inspector/tests/inspector_test.py' 2024-06-26T05:06:45.1825295Z adding 'executorch/sdk/inspector/tests/inspector_utils_test.py' 2024-06-26T05:06:45.1828615Z adding 'executorch/sdk/size_analysis_tool/size_analysis_tool.py' 2024-06-26T05:06:45.1831068Z adding 'executorch/sdk/size_analysis_tool/size_analysis_tool_test.py' 2024-06-26T05:06:45.1834083Z adding 'executorch/util/activation_memory_profiler.py' 2024-06-26T05:06:45.1836601Z adding 'executorch/util/python_profiler.py' 2024-06-26T05:06:45.1839883Z adding 'serializer/__init__.py' 2024-06-26T05:06:45.1848686Z adding 'serializer/tosa_serializer.py' 2024-06-26T05:06:45.1851989Z adding 'tosa/ArithmeticRightShiftAttribute.py' 2024-06-26T05:06:45.1854493Z adding 'tosa/Attribute.py' 2024-06-26T05:06:45.1856142Z adding 'tosa/AxisAttribute.py' 2024-06-26T05:06:45.1857898Z adding 'tosa/ClampAttribute.py' 2024-06-26T05:06:45.1860279Z adding 'tosa/CondIfAttribute.py' 2024-06-26T05:06:45.1862843Z adding 'tosa/ConvAttribute.py' 2024-06-26T05:06:45.1865405Z adding 'tosa/CustomAttribute.py' 2024-06-26T05:06:45.1867861Z adding 'tosa/DType.py' 2024-06-26T05:06:45.1869556Z adding 'tosa/FFTAttribute.py' 2024-06-26T05:06:45.1871436Z adding 'tosa/FullyConnectedAttribute.py' 2024-06-26T05:06:45.1873632Z adding 'tosa/MatMulAttribute.py' 2024-06-26T05:06:45.1874984Z adding 'tosa/MulAttribute.py' 2024-06-26T05:06:45.1877022Z adding 'tosa/NegateAttribute.py' 2024-06-26T05:06:45.1879167Z adding 'tosa/Op.py' 2024-06-26T05:06:45.1882142Z adding 'tosa/PadAttribute.py' 2024-06-26T05:06:45.1884195Z adding 'tosa/PoolAttribute.py' 2024-06-26T05:06:45.1886308Z adding 'tosa/RFFTAttribute.py' 2024-06-26T05:06:45.1900112Z adding 'tosa/RescaleAttribute.py' 2024-06-26T05:06:45.1901105Z adding 'tosa/ReshapeAttribute.py' 2024-06-26T05:06:45.1901576Z adding 'tosa/ResizeAttribute.py' 2024-06-26T05:06:45.1921728Z adding 'tosa/ResizeMode.py' 2024-06-26T05:06:45.1923198Z adding 'tosa/SliceAttribute.py' 2024-06-26T05:06:45.1924475Z adding 'tosa/TableAttribute.py' 2024-06-26T05:06:45.1926105Z adding 'tosa/TileAttribute.py' 2024-06-26T05:06:45.1928007Z adding 'tosa/TosaBasicBlock.py' 2024-06-26T05:06:45.1929051Z adding 'tosa/TosaGraph.py' 2024-06-26T05:06:45.1930142Z adding 'tosa/TosaOperator.py' 2024-06-26T05:06:45.1931852Z adding 'tosa/TosaRegion.py' 2024-06-26T05:06:45.1933120Z adding 'tosa/TosaTensor.py' 2024-06-26T05:06:45.1935046Z adding 'tosa/TransposeAttribute.py' 2024-06-26T05:06:45.1936035Z adding 'tosa/TransposeConvAttribute.py' 2024-06-26T05:06:45.1937395Z adding 'tosa/Version.py' 2024-06-26T05:06:45.1938714Z adding 'tosa/WhileLoopAttribute.py' 2024-06-26T05:06:45.1940094Z adding 'tosa/__init__.py' 2024-06-26T05:06:45.1942163Z adding 'executorch-0.4.0a0+39e17e4.dist-info/LICENSE' 2024-06-26T05:06:45.1943198Z adding 'executorch-0.4.0a0+39e17e4.dist-info/METADATA' 2024-06-26T05:06:45.1944300Z adding 'executorch-0.4.0a0+39e17e4.dist-info/WHEEL' 2024-06-26T05:06:45.1945801Z adding 'executorch-0.4.0a0+39e17e4.dist-info/entry_points.txt' 2024-06-26T05:06:45.1947281Z adding 'executorch-0.4.0a0+39e17e4.dist-info/top_level.txt' 2024-06-26T05:06:45.1995250Z adding 'executorch-0.4.0a0+39e17e4.dist-info/RECORD' 2024-06-26T05:06:45.2024115Z removing pip-out/bdist.linux-x86_64/wheel 2024-06-26T05:06:45.3012163Z Building wheel for executorch (pyproject.toml) ... [?25l[?25hdone 2024-06-26T05:06:45.3221376Z Created wheel for executorch: filename=executorch-0.4.0a0+39e17e4-cp310-cp310-linux_x86_64.whl size=8247880 sha256=8a64808c1e973814aaf68dcd83818fef35f547bb010a9286b8e3cbdcdc0df77c 2024-06-26T05:06:45.3223326Z Stored in directory: /tmp/pip-ephem-wheel-cache-r9wto3u6/wheels/0c/c6/3d/9d65a2272b4e808563c14a0faba4f8dbef4afad546d90635f8 2024-06-26T05:06:45.3306855Z Successfully built executorch 2024-06-26T05:06:46.5970835Z Installing collected packages: executorch 2024-06-26T05:06:46.5971346Z Attempting uninstall: executorch 2024-06-26T05:06:46.5978538Z Found existing installation: executorch 0.4.0a0+39e17e4 2024-06-26T05:06:46.6803837Z Uninstalling executorch-0.4.0a0+39e17e4: 2024-06-26T05:06:46.6957523Z Removing file or directory /opt/conda/envs/py_3.10/bin/flatc 2024-06-26T05:06:46.6972169Z Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch-0.4.0a0+39e17e4.dist-info/ 2024-06-26T05:06:46.9503904Z Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/ 2024-06-26T05:06:46.9532069Z Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/serializer/ 2024-06-26T05:06:46.9598510Z Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/tosa/ 2024-06-26T05:06:46.9599706Z Successfully uninstalled executorch-0.4.0a0+39e17e4 2024-06-26T05:06:48.0194913Z changing mode of /opt/conda/envs/py_3.10/bin/flatc to 755 2024-06-26T05:06:48.0989355Z Successfully installed executorch-0.4.0a0+39e17e4 2024-06-26T05:06:48.1882183Z ++ pip list 2024-06-26T05:06:48.5953317Z Package Version Editable project location 2024-06-26T05:06:48.5954391Z ----------------------------- ------------------ ----------------------------------------------- 2024-06-26T05:06:48.5955041Z absl-py 2.1.0 2024-06-26T05:06:48.5956173Z aiohttp 3.9.5 2024-06-26T05:06:48.5958174Z aiosignal 1.3.1 2024-06-26T05:06:48.5959653Z alabaster 0.7.16 2024-06-26T05:06:48.5961018Z astunparse 1.6.3 2024-06-26T05:06:48.5962676Z async-timeout 4.0.3 2024-06-26T05:06:48.5964155Z attrs 23.2.0 2024-06-26T05:06:48.5965683Z audioread 3.0.1 2024-06-26T05:06:48.5967213Z Babel 2.15.0 2024-06-26T05:06:48.5968598Z beautifulsoup4 4.12.3 2024-06-26T05:06:48.5970057Z boto3 1.19.12 2024-06-26T05:06:48.5971522Z botocore 1.22.12 2024-06-26T05:06:48.5972985Z breathe 4.34.0 2024-06-26T05:06:48.5974466Z bs4 0.0.2 2024-06-26T05:06:48.5975943Z cachetools 5.3.3 2024-06-26T05:06:48.5977435Z certifi 2024.6.2 2024-06-26T05:06:48.5978892Z cffi 1.16.0 2024-06-26T05:06:48.5980553Z charset-normalizer 3.3.2 2024-06-26T05:06:48.5981994Z click 8.1.7 2024-06-26T05:06:48.5983439Z colorama 0.4.6 2024-06-26T05:06:48.5984919Z contourpy 1.2.1 2024-06-26T05:06:48.5986396Z coremltools 5.0b5 2024-06-26T05:06:48.5987855Z coverage 7.5.4 2024-06-26T05:06:48.5989328Z cryptography 42.0.8 2024-06-26T05:06:48.5990769Z cycler 0.12.1 2024-06-26T05:06:48.5992235Z decorator 5.1.1 2024-06-26T05:06:48.5993718Z Deprecated 1.2.14 2024-06-26T05:06:48.5995127Z dill 0.3.7 2024-06-26T05:06:48.5996585Z docutils 0.16 2024-06-26T05:06:48.5998596Z exceptiongroup 1.2.1 2024-06-26T05:06:48.5999936Z execnet 2.1.1 2024-06-26T05:06:48.6001316Z executorch 0.4.0a0+39e17e4 2024-06-26T05:06:48.6002786Z exhale 0.2.3 2024-06-26T05:06:48.6004301Z expecttest 0.1.6 2024-06-26T05:06:48.6005768Z filelock 3.13.1 2024-06-26T05:06:48.6007187Z flatbuffers 2.0 2024-06-26T05:06:48.6008562Z fonttools 4.53.0 2024-06-26T05:06:48.6009861Z frozenlist 1.4.1 2024-06-26T05:06:48.6010928Z fsspec 2024.2.0 2024-06-26T05:06:48.6012274Z future 1.0.0 2024-06-26T05:06:48.6013708Z geojson 2.5.0 2024-06-26T05:06:48.6015115Z ghstack 0.8.0 2024-06-26T05:06:48.6016698Z google-auth 2.30.0 2024-06-26T05:06:48.6018762Z google-auth-oauthlib 1.0.0 2024-06-26T05:06:48.6019220Z grpcio 1.64.1 2024-06-26T05:06:48.6020815Z huggingface-hub 0.23.4 2024-06-26T05:06:48.6022490Z hypothesis 6.84.2 2024-06-26T05:06:48.6023369Z idna 3.7 2024-06-26T05:06:48.6024894Z imageio 2.34.1 2024-06-26T05:06:48.6026058Z imagesize 1.4.1 2024-06-26T05:06:48.6027518Z iniconfig 2.0.0 2024-06-26T05:06:48.6028775Z Jinja2 3.1.4 2024-06-26T05:06:48.6030204Z jmespath 0.10.0 2024-06-26T05:06:48.6031432Z joblib 1.4.2 2024-06-26T05:06:48.6032898Z junitparser 2.1.1 2024-06-26T05:06:48.6034175Z kiwisolver 1.4.5 2024-06-26T05:06:48.6035527Z lark 0.12.0 2024-06-26T05:06:48.6036867Z lazy_loader 0.4 2024-06-26T05:06:48.6038361Z librosa 0.10.2.post1 2024-06-26T05:06:48.6039888Z lintrunner 0.12.5 2024-06-26T05:06:48.6040928Z llvmlite 0.38.1 2024-06-26T05:06:48.6042325Z lxml 5.0.0 2024-06-26T05:06:48.6043567Z Markdown 3.6 2024-06-26T05:06:48.6044962Z markdown-it-py 2.2.0 2024-06-26T05:06:48.6046237Z MarkupSafe 2.1.5 2024-06-26T05:06:48.6047617Z matplotlib 3.7.2 2024-06-26T05:06:48.6049011Z mdit-py-plugins 0.3.5 2024-06-26T05:06:48.6050481Z mdurl 0.1.2 2024-06-26T05:06:48.6051785Z mpmath 1.3.0 2024-06-26T05:06:48.6053255Z msgpack 1.0.8 2024-06-26T05:06:48.6054658Z multidict 6.0.5 2024-06-26T05:06:48.6056129Z mypy 1.10.0 2024-06-26T05:06:48.6057629Z mypy-extensions 1.0.0 2024-06-26T05:06:48.6059099Z myst-parser 0.18.1 2024-06-26T05:06:48.6060545Z networkx 2.8.8 2024-06-26T05:06:48.6062037Z ninja 1.10.2 2024-06-26T05:06:48.6063492Z numba 0.55.2 2024-06-26T05:06:48.6064933Z numpy 1.25.2 2024-06-26T05:06:48.6066353Z oauthlib 3.2.2 2024-06-26T05:06:48.6067893Z opt-einsum 3.3.0 2024-06-26T05:06:48.6069255Z optree 0.11.0 2024-06-26T05:06:48.6070774Z packaging 24.1 2024-06-26T05:06:48.6072169Z pandas 2.2.2 2024-06-26T05:06:48.6073671Z parameterized 0.9.0 2024-06-26T05:06:48.6075067Z pillow 10.3.0 2024-06-26T05:06:48.6076511Z pip 24.0 2024-06-26T05:06:48.6078078Z platformdirs 4.2.2 2024-06-26T05:06:48.6079540Z pluggy 1.5.0 2024-06-26T05:06:48.6081055Z pooch 1.8.2 2024-06-26T05:06:48.6082812Z protobuf 3.20.2 2024-06-26T05:06:48.6083616Z psutil 6.0.0 2024-06-26T05:06:48.6085001Z pyasn1 0.6.0 2024-06-26T05:06:48.6086795Z pyasn1_modules 0.4.0 2024-06-26T05:06:48.6087855Z pycparser 2.22 2024-06-26T05:06:48.6089280Z PyGithub 2.3.0 2024-06-26T05:06:48.6090521Z Pygments 2.15.0 2024-06-26T05:06:48.6091902Z PyJWT 2.8.0 2024-06-26T05:06:48.6093155Z PyNaCl 1.5.0 2024-06-26T05:06:48.6094555Z pyparsing 3.0.9 2024-06-26T05:06:48.6095592Z pytest 7.2.0 2024-06-26T05:06:48.6097276Z pytest-cov 4.1.0 2024-06-26T05:06:48.6098389Z pytest-cpp 2.3.0 2024-06-26T05:06:48.6100001Z pytest-flakefinder 1.1.0 2024-06-26T05:06:48.6101393Z pytest-rerunfailures 14.0 2024-06-26T05:06:48.6102751Z pytest-xdist 3.3.1 2024-06-26T05:06:48.6104115Z python-dateutil 2.9.0.post0 2024-06-26T05:06:48.6105992Z pytorch_sphinx_theme 0.0.24 /executorch/.ci/docker/src/pytorch-sphinx-theme 2024-06-26T05:06:48.6106867Z pytz 2024.1 2024-06-26T05:06:48.6108219Z PyWavelets 1.4.1 2024-06-26T05:06:48.6109531Z PyYAML 6.0.1 2024-06-26T05:06:48.6110909Z regex 2024.5.15 2024-06-26T05:06:48.6112146Z requests 2.32.3 2024-06-26T05:06:48.6113620Z requests-oauthlib 2.0.0 2024-06-26T05:06:48.6114775Z rockset 1.0.3 2024-06-26T05:06:48.6116214Z rsa 4.9 2024-06-26T05:06:48.6117430Z ruamel.yaml 0.17.32 2024-06-26T05:06:48.6119065Z ruamel.yaml.clib 0.2.8 2024-06-26T05:06:48.6120467Z s3transfer 0.5.2 2024-06-26T05:06:48.6121791Z safetensors 0.4.3 2024-06-26T05:06:48.6122994Z scikit-image 0.20.0 2024-06-26T05:06:48.6124651Z scikit-learn 1.5.0 2024-06-26T05:06:48.6125519Z scipy 1.10.1 2024-06-26T05:06:48.6127226Z setuptools 69.5.1 2024-06-26T05:06:48.6128373Z six 1.16.0 2024-06-26T05:06:48.6129890Z snowballstemmer 2.2.0 2024-06-26T05:06:48.6131251Z sortedcontainers 2.4.0 2024-06-26T05:06:48.6132636Z soundfile 0.12.1 2024-06-26T05:06:48.6133965Z soupsieve 2.5 2024-06-26T05:06:48.6135299Z soxr 0.3.7 2024-06-26T05:06:48.6136458Z Sphinx 5.3.0 2024-06-26T05:06:48.6137929Z sphinx-copybutton 0.5.0 2024-06-26T05:06:48.6138998Z sphinx_design 0.4.1 2024-06-26T05:06:48.6140551Z sphinx-gallery 0.14.0 2024-06-26T05:06:48.6142089Z sphinxcontrib-applehelp 1.0.8 2024-06-26T05:06:48.6143165Z sphinxcontrib-devhelp 1.0.6 2024-06-26T05:06:48.6144620Z sphinxcontrib-htmlhelp 2.0.5 2024-06-26T05:06:48.6146061Z sphinxcontrib-jsmath 1.0.1 2024-06-26T05:06:48.6147364Z sphinxcontrib-qthelp 1.0.7 2024-06-26T05:06:48.6148978Z sphinxcontrib-serializinghtml 1.1.10 2024-06-26T05:06:48.6149968Z sympy 1.12 2024-06-26T05:06:48.6151362Z tabulate 0.9.0 2024-06-26T05:06:48.6152586Z tb-nightly 2.13.0a20230426 2024-06-26T05:06:48.6153729Z tensorboard 2.13.0 2024-06-26T05:06:48.6155041Z tensorboard-data-server 0.7.2 2024-06-26T05:06:48.6156192Z threadpoolctl 3.5.0 2024-06-26T05:06:48.6157464Z tifffile 2024.6.18 2024-06-26T05:06:48.6158657Z timm 0.6.13 2024-06-26T05:06:48.6160180Z tlparse 0.3.7 2024-06-26T05:06:48.6161408Z tokenizers 0.15.2 2024-06-26T05:06:48.6162704Z tomli 2.0.1 2024-06-26T05:06:48.6164154Z torch 2.5.0a0+gitb8c4c54 2024-06-26T05:06:48.6165212Z torchaudio 2.4.0a0+b829e93 2024-06-26T05:06:48.6166543Z torchsr 1.0.4 2024-06-26T05:06:48.6168037Z torchvision 0.19.0a0+d23a6e1 2024-06-26T05:06:48.6169001Z tqdm 4.66.4 2024-06-26T05:06:48.6170348Z transformers 4.38.0 2024-06-26T05:06:48.6171664Z typing_extensions 4.12.2 2024-06-26T05:06:48.6173033Z tzdata 2024.1 2024-06-26T05:06:48.6174429Z unittest-xml-reporting 3.2.0 2024-06-26T05:06:48.6175534Z urllib3 1.26.19 2024-06-26T05:06:48.6176889Z Werkzeug 3.0.3 2024-06-26T05:06:48.6178399Z wheel 0.43.0 2024-06-26T05:06:48.6179473Z wrapt 1.16.0 2024-06-26T05:06:48.6180947Z xdoctest 1.1.0 2024-06-26T05:06:48.6182177Z yarl 1.9.4 2024-06-26T05:06:48.6183565Z z3-solver 4.12.2.0 2024-06-26T05:06:48.6184603Z zstd 1.5.5.1 2024-06-26T05:06:48.7072699Z ++ build_executorch_runner cmake 2024-06-26T05:06:48.7073148Z ++ [[ cmake == \b\u\c\k\2 ]] 2024-06-26T05:06:48.7073526Z ++ [[ cmake == \c\m\a\k\e ]] 2024-06-26T05:06:48.7073891Z ++ build_executorch_runner_cmake 2024-06-26T05:06:48.7074380Z ++ CMAKE_OUTPUT_DIR=cmake-out 2024-06-26T05:06:48.7074755Z ++ rm -rf cmake-out 2024-06-26T05:06:48.7448875Z ++ mkdir cmake-out 2024-06-26T05:06:48.7475622Z ++ pushd cmake-out 2024-06-26T05:06:48.7476091Z /executorch/cmake-out /executorch ~/workspace 2024-06-26T05:06:48.7476786Z ++ retry cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release .. 2024-06-26T05:06:48.7477546Z ++ cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release .. 2024-06-26T05:06:48.8204874Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:06:48.9167966Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:06:48.9223569Z -- Detecting C compiler ABI info 2024-06-26T05:06:49.0289944Z -- Detecting C compiler ABI info - done 2024-06-26T05:06:49.0349253Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:06:49.0351439Z -- Detecting C compile features 2024-06-26T05:06:49.0355194Z -- Detecting C compile features - done 2024-06-26T05:06:49.0385611Z -- Detecting CXX compiler ABI info 2024-06-26T05:06:49.1790091Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:06:49.1853475Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:06:49.1855786Z -- Detecting CXX compile features 2024-06-26T05:06:49.1860343Z -- Detecting CXX compile features - done 2024-06-26T05:06:49.1906748Z -- Looking for pthread.h 2024-06-26T05:06:49.3220295Z -- Looking for pthread.h - found 2024-06-26T05:06:49.3221191Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:06:49.4312073Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:06:49.4320364Z -- Found Threads: TRUE 2024-06-26T05:06:49.4355431Z -- Downloading FXdiv to /executorch/cmake-out/FXdiv-source (define FXDIV_SOURCE_DIR to avoid it) 2024-06-26T05:06:49.4605605Z -- Configuring done 2024-06-26T05:06:49.4619225Z -- Generating done 2024-06-26T05:06:49.4631041Z -- Build files have been written to: /executorch/cmake-out/FXdiv-download 2024-06-26T05:06:49.4908383Z [ 11%] Creating directories for 'fxdiv' 2024-06-26T05:06:49.5261718Z [ 22%] Performing download step (git clone) for 'fxdiv' 2024-06-26T05:06:49.5359446Z Cloning into 'FXdiv-source'... 2024-06-26T05:06:49.6614235Z Already on 'master' 2024-06-26T05:06:49.6614973Z Your branch is up to date with 'origin/master'. 2024-06-26T05:06:49.6949810Z [ 33%] Performing update step for 'fxdiv' 2024-06-26T05:06:49.7811660Z HEAD is now at 63058ef Export LICENSE file in Bazel build 2024-06-26T05:06:49.8054932Z [ 44%] No patch step for 'fxdiv' 2024-06-26T05:06:49.8185055Z [ 55%] No configure step for 'fxdiv' 2024-06-26T05:06:49.8317169Z [ 66%] No build step for 'fxdiv' 2024-06-26T05:06:49.8447777Z [ 77%] No install step for 'fxdiv' 2024-06-26T05:06:49.8576900Z [ 88%] No test step for 'fxdiv' 2024-06-26T05:06:49.8708166Z [100%] Completed 'fxdiv' 2024-06-26T05:06:49.8936606Z [100%] Built target fxdiv 2024-06-26T05:06:49.9029840Z -- Using python executable 'python' 2024-06-26T05:06:49.9771413Z -- Resolved buck2 as buck2. 2024-06-26T05:06:49.9772158Z -- Killing buck2 daemon 2024-06-26T05:06:49.9779152Z -- executorch: Generating source lists 2024-06-26T05:06:49.9780452Z -- executorch: Generating source file list /executorch/cmake-out/executorch_srcs.cmake 2024-06-26T05:06:52.7213129Z -- executorch: Using sources file /executorch/cmake-out/executorch_srcs.cmake 2024-06-26T05:06:52.7251187Z -- Proceeding with version: 24.3.25.0 2024-06-26T05:06:52.7259581Z -- Looking for strtof_l 2024-06-26T05:06:52.8933521Z -- Looking for strtof_l - found 2024-06-26T05:06:52.8935556Z -- Looking for strtoull_l 2024-06-26T05:06:53.0366101Z -- Looking for strtoull_l - found 2024-06-26T05:06:53.0369312Z -- Looking for realpath 2024-06-26T05:06:53.1473993Z -- Looking for realpath - found 2024-06-26T05:06:53.1474485Z -- CMAKE_CXX_FLAGS: 2024-06-26T05:06:53.1491389Z -- executorch: Using PAL default 'posix' 2024-06-26T05:06:53.1532106Z -- Generating operator lib: 2024-06-26T05:06:53.1532612Z -- LIB_NAME: portable_ops_lib 2024-06-26T05:06:53.1533355Z -- OPS_SCHEMA_YAML: /executorch/kernels/portable/functions.yaml 2024-06-26T05:06:53.1533974Z -- ROOT_OPS: 2024-06-26T05:06:53.1534442Z -- INCLUDE_ALL_OPS: 2024-06-26T05:06:53.1536120Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/executorch/cmake-out/kernels/portable/portable_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/executorch/kernels/portable/functions.yaml" 2024-06-26T05:06:53.1537501Z -- Generating kernel bindings: 2024-06-26T05:06:53.1538132Z -- LIB_NAME: portable_ops_lib 2024-06-26T05:06:53.1538692Z -- FUNCTIONS_YAML: /executorch/kernels/portable/functions.yaml 2024-06-26T05:06:53.1539233Z -- CUSTOM_OPS_YAML: 2024-06-26T05:06:53.2738881Z Generated files /executorch/cmake-out/kernels/portable/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/executorch/cmake-out/kernels/portable/portable_ops_lib/Functions.h;/executorch/cmake-out/kernels/portable/portable_ops_lib/NativeFunctions.h 2024-06-26T05:06:53.2742709Z -- Generating operator lib: 2024-06-26T05:06:53.2743468Z -- LIB_NAME: portable_ops_lib 2024-06-26T05:06:53.2743901Z -- KERNEL_LIBS: portable_kernels 2024-06-26T05:06:53.2744301Z -- DEPS: executorch 2024-06-26T05:06:53.2787413Z -- Looking for C++ include unistd.h 2024-06-26T05:06:53.4240203Z -- Looking for C++ include unistd.h - found 2024-06-26T05:06:53.4242916Z -- Looking for C++ include stdint.h 2024-06-26T05:06:53.5665710Z -- Looking for C++ include stdint.h - found 2024-06-26T05:06:53.5667466Z -- Looking for C++ include inttypes.h 2024-06-26T05:06:53.7114497Z -- Looking for C++ include inttypes.h - found 2024-06-26T05:06:53.7116902Z -- Looking for C++ include sys/types.h 2024-06-26T05:06:53.8573760Z -- Looking for C++ include sys/types.h - found 2024-06-26T05:06:53.8575995Z -- Looking for C++ include sys/stat.h 2024-06-26T05:06:54.0004406Z -- Looking for C++ include sys/stat.h - found 2024-06-26T05:06:54.0006670Z -- Looking for C++ include fnmatch.h 2024-06-26T05:06:54.1454869Z -- Looking for C++ include fnmatch.h - found 2024-06-26T05:06:54.1459925Z -- Looking for C++ include stddef.h 2024-06-26T05:06:54.2903697Z -- Looking for C++ include stddef.h - found 2024-06-26T05:06:54.2904308Z -- Check size of uint32_t 2024-06-26T05:06:54.4502332Z -- Check size of uint32_t - done 2024-06-26T05:06:54.4505480Z -- Looking for strtoll 2024-06-26T05:06:54.5966221Z -- Looking for strtoll - found 2024-06-26T05:06:54.6003199Z -- 2024-06-26T05:06:54.6004034Z -- ******** Summary ******** 2024-06-26T05:06:54.6004996Z -- CMAKE_BUILD_TYPE : Release 2024-06-26T05:06:54.6006040Z -- CMAKE_CXX_STANDARD : 17 2024-06-26T05:06:54.6007061Z -- CMAKE_CXX_COMPILER_ID : Clang 2024-06-26T05:06:54.6008061Z -- CMAKE_TOOLCHAIN_FILE : 2024-06-26T05:06:54.6009013Z -- BUCK2 : buck2 2024-06-26T05:06:54.6010042Z -- PYTHON_EXECUTABLE : python 2024-06-26T05:06:54.6011294Z -- FLATC_EXECUTABLE : flatc 2024-06-26T05:06:54.6012354Z -- EXECUTORCH_ENABLE_LOGGING : OFF 2024-06-26T05:06:54.6013521Z -- EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF 2024-06-26T05:06:54.6014681Z -- EXECUTORCH_LOG_LEVEL : Info 2024-06-26T05:06:54.6015805Z -- EXECUTORCH_BUILD_ANDROID_JNI : OFF 2024-06-26T05:06:54.6016929Z -- EXECUTORCH_BUILD_ARM_BAREMETAL : OFF 2024-06-26T05:06:54.6018009Z -- EXECUTORCH_BUILD_COREML : OFF 2024-06-26T05:06:54.6019095Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM : OFF 2024-06-26T05:06:54.6020276Z -- EXECUTORCH_BUILD_EXECUTOR_RUNNER : ON 2024-06-26T05:06:54.6021439Z -- EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : OFF 2024-06-26T05:06:54.6022626Z -- EXECUTORCH_BUILD_EXTENSION_MODULE : OFF 2024-06-26T05:06:54.6023813Z -- EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF 2024-06-26T05:06:54.6024951Z -- EXECUTORCH_BUILD_FLATC : ON 2024-06-26T05:06:54.6026024Z -- EXECUTORCH_BUILD_GFLAGS : ON 2024-06-26T05:06:54.6027106Z -- EXECUTORCH_BUILD_GTESTS : OFF 2024-06-26T05:06:54.6028205Z -- EXECUTORCH_BUILD_HOST_TARGETS : ON 2024-06-26T05:06:54.6029324Z -- EXECUTORCH_BUILD_MPS : OFF 2024-06-26T05:06:54.6030370Z -- EXECUTORCH_BUILD_PYBIND : OFF 2024-06-26T05:06:54.6031386Z -- EXECUTORCH_BUILD_QNN : OFF 2024-06-26T05:06:54.6032457Z -- EXECUTORCH_BUILD_KERNELS_OPTIMIZED : OFF 2024-06-26T05:06:54.6033606Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED : OFF 2024-06-26T05:06:54.6034994Z -- EXECUTORCH_BUILD_SDK : OFF 2024-06-26T05:06:54.6036123Z -- EXECUTORCH_BUILD_SIZE_TEST : OFF 2024-06-26T05:06:54.6037252Z -- EXECUTORCH_BUILD_XNNPACK : OFF 2024-06-26T05:06:54.6038629Z -- EXECUTORCH_BUILD_VULKAN : OFF 2024-06-26T05:06:54.6039798Z -- EXECUTORCH_BUILD_PTHREADPOOL : ON 2024-06-26T05:06:54.6040971Z -- EXECUTORCH_BUILD_CPUINFO : ON 2024-06-26T05:06:54.6042009Z -- Configuring done 2024-06-26T05:06:54.6596409Z -- Generating done 2024-06-26T05:06:54.6662559Z -- Build files have been written to: /executorch/cmake-out 2024-06-26T05:06:54.6710854Z ++ popd 2024-06-26T05:06:54.6711153Z /executorch ~/workspace 2024-06-26T05:06:54.6713810Z +++ uname 2024-06-26T05:06:54.6723447Z ++ '[' Linux == Darwin ']' 2024-06-26T05:06:54.6726017Z +++ nproc 2024-06-26T05:06:54.6734499Z ++ CMAKE_JOBS=7 2024-06-26T05:06:54.6735168Z ++ cmake --build cmake-out -j 7 2024-06-26T05:06:54.7054047Z [ 0%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/legacy-api.c.o 2024-06-26T05:06:54.7059570Z [ 0%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags.cc.o 2024-06-26T05:06:54.7065482Z [ 2%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_reporting.cc.o 2024-06-26T05:06:54.7067883Z [ 2%] Building CXX object third-party/flatbuffers/CMakeFiles/flatc.dir/src/idl_parser.cpp.o 2024-06-26T05:06:54.7072150Z [ 2%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_completions.cc.o 2024-06-26T05:06:54.7079632Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/api.c.o 2024-06-26T05:06:54.7142961Z [ 2%] 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2024-06-26T05:07:06.9080879Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/extension/evalue_util/print_evalue.cpp.o 2024-06-26T05:07:06.9136377Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/extension/runner_util/inputs_portable.cpp.o 2024-06-26T05:07:06.9141567Z [100%] Building CXX object CMakeFiles/executor_runner.dir/runtime/executor/test/test_backend_compiler_lib.cpp.o 2024-06-26T05:07:06.9142836Z [100%] Building CXX object CMakeFiles/executor_runner.dir/extension/runner_util/inputs.cpp.o 2024-06-26T05:07:07.1184406Z [100%] Linking CXX executable executor_runner 2024-06-26T05:07:07.3782381Z [100%] Built target executor_runner 2024-06-26T05:07:07.3877429Z + echo 'Run ExecuTorch unit tests' 2024-06-26T05:07:07.3878041Z Run ExecuTorch unit tests 2024-06-26T05:07:07.3878426Z + pytest -v -n auto 2024-06-26T05:07:07.9072075Z ============================= test session starts ============================== 2024-06-26T05:07:07.9073040Z platform linux -- Python 3.10.14, pytest-7.2.0, pluggy-1.5.0 -- /opt/conda/envs/py_3.10/bin/python 2024-06-26T05:07:08.3878357Z cachedir: .pytest_cache 2024-06-26T05:07:08.3879801Z hypothesis profile 'default' -> database=DirectoryBasedExampleDatabase('/executorch/.hypothesis/examples') 2024-06-26T05:07:08.3881189Z rootdir: /executorch, configfile: pytest.ini 2024-06-26T05:07:08.3882970Z plugins: cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, xdist-3.3.1, xdoctest-1.1.0, hypothesis-6.84.2, cov-4.1.0 2024-06-26T05:07:08.3884440Z  2024-06-26T05:07:08.4234277Z created: 4/4 workers 2024-06-26T05:07:08.4596950Z initialized: 1/4 workers 2024-06-26T05:07:08.5081825Z initialized: 2/4 workers 2024-06-26T05:07:08.5601568Z initialized: 3/4 workers 2024-06-26T05:07:08.6623788Z initialized: 4/4 workers 2024-06-26T05:07:08.6851550Z ready: 1/4 workers  2024-06-26T05:07:08.7130999Z ready: 2/4 workers 2024-06-26T05:07:08.7841866Z ready: 3/4 workers 2024-06-26T05:07:14.3105866Z ready: 4/4 workers/executorch/exir/program/test/test_program.py:42: PytestCollectionWarning: cannot collect test class 'TestLinear' because it has a __init__ constructor (from: exir/program/test/test_program.py) 2024-06-26T05:07:14.3108595Z class TestLinear(torch.nn.Module): 2024-06-26T05:07:14.3110899Z /executorch/exir/program/test/test_program.py:42: PytestCollectionWarning: cannot collect test class 'TestLinear' because it has a __init__ constructor (from: exir/program/test/test_program.py) 2024-06-26T05:07:14.3113037Z class TestLinear(torch.nn.Module): 2024-06-26T05:07:14.3136627Z /executorch/exir/program/test/test_program.py:56: PytestCollectionWarning: cannot collect test class 'TestSDPA' because it has a __init__ constructor (from: exir/program/test/test_program.py) 2024-06-26T05:07:14.3139005Z class TestSDPA(torch.nn.Module): 2024-06-26T05:07:14.3141564Z /executorch/exir/program/test/test_program.py:56: PytestCollectionWarning: cannot collect test class 'TestSDPA' because it has a __init__ constructor (from: exir/program/test/test_program.py) 2024-06-26T05:07:14.3143819Z class TestSDPA(torch.nn.Module): 2024-06-26T05:07:14.3162670Z /executorch/exir/program/test/test_program.py:42: PytestCollectionWarning: cannot collect test class 'TestLinear' because it has a __init__ constructor (from: exir/program/test/test_program.py) 2024-06-26T05:07:14.3165081Z class TestLinear(torch.nn.Module): 2024-06-26T05:07:14.3169801Z /executorch/exir/program/test/test_program.py:42: PytestCollectionWarning: cannot collect test class 'TestLinear' because it has a __init__ constructor (from: exir/program/test/test_program.py) 2024-06-26T05:07:14.3172199Z class TestLinear(torch.nn.Module): 2024-06-26T05:07:14.3174995Z /executorch/exir/program/test/test_program.py:74: PytestCollectionWarning: cannot collect test class 'TestLinearSDPACombined' because it has a __init__ constructor (from: exir/program/test/test_program.py) 2024-06-26T05:07:14.3177650Z class TestLinearSDPACombined(torch.nn.Module): 2024-06-26T05:07:14.3180693Z /executorch/exir/program/test/test_program.py:74: PytestCollectionWarning: cannot collect test class 'TestLinearSDPACombined' because it has a __init__ constructor (from: exir/program/test/test_program.py) 2024-06-26T05:07:14.3183352Z class TestLinearSDPACombined(torch.nn.Module): 2024-06-26T05:07:14.3203230Z /executorch/exir/program/test/test_program.py:56: PytestCollectionWarning: cannot collect test class 'TestSDPA' because it has a __init__ constructor (from: exir/program/test/test_program.py) 2024-06-26T05:07:14.3205311Z class TestSDPA(torch.nn.Module): 2024-06-26T05:07:14.3208204Z /executorch/exir/program/test/test_program.py:91: PytestCollectionWarning: cannot collect test class 'TestUpsample' because it has a __init__ constructor (from: exir/program/test/test_program.py) 2024-06-26T05:07:14.3210655Z class TestUpsample(torch.nn.Module): 2024-06-26T05:07:14.3213282Z /executorch/exir/program/test/test_program.py:56: PytestCollectionWarning: cannot collect test class 'TestSDPA' because it has a __init__ constructor (from: exir/program/test/test_program.py) 2024-06-26T05:07:14.3215656Z class TestSDPA(torch.nn.Module): 2024-06-26T05:07:14.3218325Z /executorch/exir/program/test/test_program.py:91: PytestCollectionWarning: cannot collect test class 'TestUpsample' because it has a __init__ constructor (from: exir/program/test/test_program.py) 2024-06-26T05:07:14.3220864Z class TestUpsample(torch.nn.Module): 2024-06-26T05:07:14.3237444Z /executorch/exir/program/test/test_program.py:74: PytestCollectionWarning: cannot collect test class 'TestLinearSDPACombined' because it has a __init__ constructor (from: exir/program/test/test_program.py) 2024-06-26T05:07:14.3240406Z class TestLinearSDPACombined(torch.nn.Module): 2024-06-26T05:07:14.3253080Z /executorch/exir/program/test/test_program.py:74: PytestCollectionWarning: cannot collect test class 'TestLinearSDPACombined' because it has a __init__ constructor (from: exir/program/test/test_program.py) 2024-06-26T05:07:14.3255724Z class TestLinearSDPACombined(torch.nn.Module): 2024-06-26T05:07:14.3272064Z /executorch/exir/program/test/test_program.py:91: PytestCollectionWarning: cannot collect test class 'TestUpsample' because it has a __init__ constructor (from: exir/program/test/test_program.py) 2024-06-26T05:07:14.3274837Z class TestUpsample(torch.nn.Module): 2024-06-26T05:07:14.3291913Z /executorch/exir/program/test/test_program.py:91: PytestCollectionWarning: cannot collect test class 'TestUpsample' because it has a __init__ constructor (from: exir/program/test/test_program.py) 2024-06-26T05:07:14.3294416Z class TestUpsample(torch.nn.Module): 2024-06-26T05:07:14.3673319Z /executorch/exir/tests/test_remove_view_copy.py:17: PytestCollectionWarning: cannot collect test class 'TestModel1' because it has a __init__ constructor (from: exir/tests/test_remove_view_copy.py) 2024-06-26T05:07:14.3675766Z class TestModel1(nn.Module): 2024-06-26T05:07:14.3678643Z /executorch/exir/tests/test_remove_view_copy.py:17: PytestCollectionWarning: cannot collect test class 'TestModel1' because it has a __init__ constructor (from: exir/tests/test_remove_view_copy.py) 2024-06-26T05:07:14.3680868Z class TestModel1(nn.Module): 2024-06-26T05:07:14.3711297Z /executorch/exir/tests/test_remove_view_copy.py:17: PytestCollectionWarning: cannot collect test class 'TestModel1' because it has a __init__ constructor (from: exir/tests/test_remove_view_copy.py) 2024-06-26T05:07:14.3713770Z class TestModel1(nn.Module): 2024-06-26T05:07:14.3716343Z /executorch/exir/tests/test_remove_view_copy.py:17: PytestCollectionWarning: cannot collect test class 'TestModel1' because it has a __init__ constructor (from: exir/tests/test_remove_view_copy.py) 2024-06-26T05:07:14.3718864Z class TestModel1(nn.Module): 2024-06-26T05:07:14.4332145Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_activation_fusion.py) 2024-06-26T05:07:14.4333986Z class Tester: 2024-06-26T05:07:14.4338393Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_activation_fusion.py) 2024-06-26T05:07:14.4340193Z class Tester: 2024-06-26T05:07:14.4403789Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_activation_fusion.py) 2024-06-26T05:07:14.4405891Z class Tester: 2024-06-26T05:07:14.4407709Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_activation_fusion.py) 2024-06-26T05:07:14.4409398Z class Tester: 2024-06-26T05:07:14.4421862Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_batch_norm_fusion.py) 2024-06-26T05:07:14.4423593Z class Tester: 2024-06-26T05:07:14.4425420Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_batch_norm_fusion.py) 2024-06-26T05:07:14.4427102Z class Tester: 2024-06-26T05:07:14.4528408Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_batch_norm_fusion.py) 2024-06-26T05:07:14.4531792Z class Tester: 2024-06-26T05:07:14.4534985Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_batch_norm_fusion.py) 2024-06-26T05:07:14.4538183Z class Tester: 2024-06-26T05:07:14.4541408Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py) 2024-06-26T05:07:14.4544654Z class Tester: 2024-06-26T05:07:14.4547984Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py) 2024-06-26T05:07:14.4551099Z class Tester: 2024-06-26T05:07:14.4614258Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py) 2024-06-26T05:07:14.4617724Z class Tester: 2024-06-26T05:07:14.4627787Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py) 2024-06-26T05:07:14.4631243Z class Tester: 2024-06-26T05:07:14.4666565Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_convert_to_linear.py) 2024-06-26T05:07:14.4669790Z class Tester: 2024-06-26T05:07:14.4673289Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_convert_to_linear.py) 2024-06-26T05:07:14.4676578Z class Tester: 2024-06-26T05:07:14.4683843Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_convert_to_linear.py) 2024-06-26T05:07:14.4687041Z class Tester: 2024-06-26T05:07:14.4708315Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_convert_to_linear.py) 2024-06-26T05:07:14.4710066Z class Tester: 2024-06-26T05:07:14.4763322Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_remove_get_item_pass.py) 2024-06-26T05:07:14.4765108Z class Tester: 2024-06-26T05:07:14.4773897Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_remove_get_item_pass.py) 2024-06-26T05:07:14.4775633Z class Tester: 2024-06-26T05:07:14.4802028Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_remove_get_item_pass.py) 2024-06-26T05:07:14.4804016Z class Tester: 2024-06-26T05:07:14.4805825Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_remove_get_item_pass.py) 2024-06-26T05:07:14.4814893Z class Tester: 2024-06-26T05:07:14.4845653Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py) 2024-06-26T05:07:14.4849063Z class Tester: 2024-06-26T05:07:14.4852199Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py) 2024-06-26T05:07:14.4855120Z class Tester: 2024-06-26T05:07:14.4920666Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py) 2024-06-26T05:07:14.4922451Z class Tester: 2024-06-26T05:07:14.4924297Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/backends/xnnpack/test/tester/tester.py:356: PytestCollectionWarning: cannot collect test class 'Tester' because it has a __init__ constructor (from: backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py) 2024-06-26T05:07:14.4926026Z class Tester: 2024-06-26T05:07:14.5234390Z  2024-06-26T05:07:14.5241996Z collecting: 1/4 workers 2024-06-26T05:07:14.5374137Z collecting: 2/4 workers 2024-06-26T05:07:14.5382341Z collecting: 3/4 workers 2024-06-26T05:07:14.5383037Z 4 workers [311 items]  2024-06-26T05:07:14.5383441Z scheduling tests via LoadScheduling 2024-06-26T05:07:14.5392085Z 2024-06-26T05:07:14.5395187Z examples/portable/test/test_export.py::ExportTest::test_dl3_export_to_executorch 2024-06-26T05:07:14.5396862Z sdk/inspector/tests/inspector_test.py::TestInspector::test_inspector_print_data_tabular 2024-06-26T05:07:14.5397832Z sdk/etrecord/tests/etrecord_test.py::TestETRecord::test_etrecord_generation 2024-06-26T05:07:14.5427673Z exir/_serialize/test/test_flatbuffer.py::TestPrepareSchema::test_bad_tensor_alignment_fails 2024-06-26T05:07:14.5433823Z [gw3] [ 0%] PASSED exir/_serialize/test/test_flatbuffer.py::TestPrepareSchema::test_bad_tensor_alignment_fails 2024-06-26T05:07:14.5451691Z exir/_serialize/test/test_flatbuffer.py::TestPrepareSchema::test_unmodified 2024-06-26T05:07:14.5455211Z [gw3] [ 0%] PASSED exir/_serialize/test/test_flatbuffer.py::TestPrepareSchema::test_unmodified 2024-06-26T05:07:14.5470356Z exir/_serialize/test/test_flatbuffer.py::TestPrepareSchema::test_update_delegate_alignment 2024-06-26T05:07:14.5475672Z [gw3] [ 0%] PASSED exir/_serialize/test/test_flatbuffer.py::TestPrepareSchema::test_update_delegate_alignment 2024-06-26T05:07:14.5489335Z exir/_serialize/test/test_flatbuffer.py::TestPrepareSchema::test_update_tensor_alignment 2024-06-26T05:07:14.5494715Z [gw3] [ 1%] PASSED exir/_serialize/test/test_flatbuffer.py::TestPrepareSchema::test_update_tensor_alignment 2024-06-26T05:07:14.5509219Z exir/_serialize/test/test_flatbuffer.py::TestPrepareSchema::test_update_tensor_and_delegate_alignment 2024-06-26T05:07:14.5515468Z [gw3] [ 1%] PASSED exir/_serialize/test/test_flatbuffer.py::TestPrepareSchema::test_update_tensor_and_delegate_alignment 2024-06-26T05:07:14.5570156Z exir/_serialize/test/test_flatbuffer.py::TestProgramJsonToFlatbuffer::test_no_save_json_on_failure 2024-06-26T05:07:14.5577949Z [gw2] [ 1%] PASSED sdk/inspector/tests/inspector_test.py::TestInspector::test_inspector_print_data_tabular 2024-06-26T05:07:14.5592711Z sdk/inspector/tests/inspector_test.py::TestInspector::test_perf_data 2024-06-26T05:07:14.5600771Z [gw2] [ 2%] PASSED sdk/inspector/tests/inspector_test.py::TestInspector::test_perf_data 2024-06-26T05:07:14.5776419Z sdk/inspector/tests/inspector_utils_test.py::TestETRecord::test_etrecord_generation 2024-06-26T05:07:14.5777234Z error: 2024-06-26T05:07:14.5777724Z /tmp/tmpjbrzfe0c/data.json:1: 1: error: declaration expected 2024-06-26T05:07:14.5778147Z 2024-06-26T05:07:14.5830428Z 2024-06-26T05:07:14.5838266Z [gw3] [ 2%] PASSED exir/_serialize/test/test_flatbuffer.py::TestProgramJsonToFlatbuffer::test_no_save_json_on_failure 2024-06-26T05:07:14.6089509Z exir/_serialize/test/test_flatbuffer.py::TestProgramJsonToFlatbuffer::test_save_json_on_failure 2024-06-26T05:07:14.6091109Z error: 2024-06-26T05:07:14.6091750Z /tmp/tmpyj7gedba/data.json:1: 1: error: declaration expected 2024-06-26T05:07:14.6092437Z 2024-06-26T05:07:14.6153518Z 2024-06-26T05:07:14.6163744Z [gw3] [ 2%] PASSED exir/_serialize/test/test_flatbuffer.py::TestProgramJsonToFlatbuffer::test_save_json_on_failure 2024-06-26T05:07:14.6417790Z exir/_serialize/test/test_flatbuffer.py::TestProgramJsonToFlatbuffer::test_unable_to_save_json_on_failure 2024-06-26T05:07:14.6419199Z error: 2024-06-26T05:07:14.6419890Z /tmp/tmpezhz3cw6/data.json:1: 1: error: declaration expected 2024-06-26T05:07:14.6420742Z 2024-06-26T05:07:14.6438300Z 2024-06-26T05:07:14.6445588Z [gw0] [ 3%] PASSED sdk/etrecord/tests/etrecord_test.py::TestETRecord::test_etrecord_generation 2024-06-26T05:07:14.6477599Z sdk/etrecord/tests/etrecord_test.py::TestETRecord::test_etrecord_generation_with_bundled_program 2024-06-26T05:07:14.6486887Z [gw3] [ 3%] PASSED exir/_serialize/test/test_flatbuffer.py::TestProgramJsonToFlatbuffer::test_unable_to_save_json_on_failure 2024-06-26T05:07:14.6502423Z exir/_serialize/test/test_program.py::TestProgram::test_canonicalize_delegate_indices 2024-06-26T05:07:14.6509417Z [gw3] [ 3%] PASSED exir/_serialize/test/test_program.py::TestProgram::test_canonicalize_delegate_indices 2024-06-26T05:07:14.6539632Z exir/_serialize/test/test_program.py::TestProgram::test_constant_segment_and_delegate_segment 2024-06-26T05:07:14.6546339Z [gw2] [ 4%] PASSED sdk/inspector/tests/inspector_utils_test.py::TestETRecord::test_etrecord_generation 2024-06-26T05:07:14.7182690Z sdk/inspector/tests/inspector_utils_test.py::TestETRecord::test_etrecord_generation_with_bundled_program 2024-06-26T05:07:14.7189231Z [gw3] [ 4%] PASSED exir/_serialize/test/test_program.py::TestProgram::test_constant_segment_and_delegate_segment 2024-06-26T05:07:14.7319605Z exir/_serialize/test/test_program.py::TestProgram::test_constant_segment_tensor_alignment_128 2024-06-26T05:07:14.7324830Z [gw0] [ 4%] PASSED sdk/etrecord/tests/etrecord_test.py::TestETRecord::test_etrecord_generation_with_bundled_program 2024-06-26T05:07:14.7383390Z sdk/etrecord/tests/etrecord_test.py::TestETRecord::test_etrecord_generation_with_manager 2024-06-26T05:07:14.7389588Z [gw2] [ 5%] PASSED sdk/inspector/tests/inspector_utils_test.py::TestETRecord::test_etrecord_generation_with_bundled_program 2024-06-26T05:07:14.7802950Z sdk/inspector/tests/inspector_utils_test.py::TestETRecord::test_etrecord_generation_with_manager 2024-06-26T05:07:14.7808004Z [gw3] [ 5%] PASSED exir/_serialize/test/test_program.py::TestProgram::test_constant_segment_tensor_alignment_128 2024-06-26T05:07:14.8347198Z exir/_serialize/test/test_program.py::TestProgram::test_constant_segment_tensor_alignment_16 2024-06-26T05:07:14.8352993Z [gw0] [ 5%] PASSED sdk/etrecord/tests/etrecord_test.py::TestETRecord::test_etrecord_generation_with_manager 2024-06-26T05:07:14.8569784Z sdk/etrecord/tests/etrecord_test.py::TestETRecord::test_etrecord_invalid_input 2024-06-26T05:07:14.8574071Z [gw2] [ 6%] PASSED sdk/inspector/tests/inspector_utils_test.py::TestETRecord::test_etrecord_generation_with_manager 2024-06-26T05:07:14.8588738Z sdk/inspector/tests/inspector_utils_test.py::TestETRecord::test_etrecord_invalid_input 2024-06-26T05:07:14.8594960Z [gw3] [ 6%] PASSED exir/_serialize/test/test_program.py::TestProgram::test_constant_segment_tensor_alignment_16 2024-06-26T05:07:14.8621180Z exir/_serialize/test/test_program.py::TestProgram::test_constant_segment_tensor_alignment_non_power_of_2_fails 2024-06-26T05:07:14.8627043Z [gw3] [ 6%] PASSED exir/_serialize/test/test_program.py::TestProgram::test_constant_segment_tensor_alignment_non_power_of_2_fails 2024-06-26T05:07:14.8821948Z exir/_serialize/test/test_program.py::TestProgram::test_round_trip_large_buffer_sizes 2024-06-26T05:07:14.8828138Z [gw0] [ 7%] PASSED sdk/etrecord/tests/etrecord_test.py::TestETRecord::test_etrecord_invalid_input 2024-06-26T05:07:14.8982106Z sdk/etrecord/tests/etrecord_test.py::TestETRecord::test_etrecord_reserved_name 2024-06-26T05:07:14.8985063Z [gw2] [ 7%] PASSED sdk/inspector/tests/inspector_utils_test.py::TestETRecord::test_etrecord_invalid_input 2024-06-26T05:07:14.9287212Z sdk/inspector/tests/inspector_utils_test.py::TestETRecord::test_etrecord_reserved_name 2024-06-26T05:07:14.9294129Z [gw0] [ 7%] PASSED sdk/etrecord/tests/etrecord_test.py::TestETRecord::test_etrecord_reserved_name 2024-06-26T05:07:14.9311974Z sdk/inspector/tests/event_blocks_test.py::TestEventBlock::test_gen_from_etdump 2024-06-26T05:07:14.9317794Z [gw0] [ 8%] PASSED sdk/inspector/tests/event_blocks_test.py::TestEventBlock::test_gen_from_etdump 2024-06-26T05:07:14.9327898Z sdk/inspector/tests/event_blocks_test.py::TestEventBlock::test_gen_resolve_debug_handles 2024-06-26T05:07:14.9333151Z [gw0] [ 8%] PASSED sdk/inspector/tests/event_blocks_test.py::TestEventBlock::test_gen_resolve_debug_handles 2024-06-26T05:07:14.9340374Z sdk/inspector/tests/event_blocks_test.py::TestEventBlock::test_inspector_event_generation 2024-06-26T05:07:14.9350976Z [gw0] [ 8%] PASSED sdk/inspector/tests/event_blocks_test.py::TestEventBlock::test_inspector_event_generation 2024-06-26T05:07:14.9360503Z sdk/inspector/tests/inspector_test.py::TestETRecord::test_etrecord_generation 2024-06-26T05:07:14.9367940Z [gw3] [ 9%] PASSED exir/_serialize/test/test_program.py::TestProgram::test_round_trip_large_buffer_sizes 2024-06-26T05:07:14.9481424Z exir/_serialize/test/test_program.py::TestProgram::test_round_trip_no_header_no_segments 2024-06-26T05:07:14.9488379Z [gw2] [ 9%] PASSED sdk/inspector/tests/inspector_utils_test.py::TestETRecord::test_etrecord_reserved_name 2024-06-26T05:07:14.9501246Z sdk/inspector/tests/inspector_utils_test.py::TestInspectorUtils::test_create_debug_handle_to_op_node_mapping 2024-06-26T05:07:14.9508216Z [gw2] [ 9%] PASSED sdk/inspector/tests/inspector_utils_test.py::TestInspectorUtils::test_create_debug_handle_to_op_node_mapping 2024-06-26T05:07:14.9521060Z sdk/inspector/tests/inspector_utils_test.py::TestInspectorUtils::test_find_populated_event 2024-06-26T05:07:14.9527702Z [gw2] [ 9%] PASSED sdk/inspector/tests/inspector_utils_test.py::TestInspectorUtils::test_find_populated_event 2024-06-26T05:07:14.9841368Z sdk/inspector/tests/inspector_utils_test.py::TestInspectorUtils::test_gen_graphs_from_etrecord 2024-06-26T05:07:14.9846422Z [gw0] [ 10%] PASSED sdk/inspector/tests/inspector_test.py::TestETRecord::test_etrecord_generation 2024-06-26T05:07:15.0074030Z sdk/inspector/tests/inspector_test.py::TestETRecord::test_etrecord_generation_with_bundled_program 2024-06-26T05:07:15.0080088Z [gw3] [ 10%] PASSED exir/_serialize/test/test_program.py::TestProgram::test_round_trip_no_header_no_segments 2024-06-26T05:07:15.0097385Z exir/_serialize/test/test_program.py::TestProgram::test_round_trip_no_segments_and_no_header 2024-06-26T05:07:15.0106224Z [gw2] [ 10%] PASSED sdk/inspector/tests/inspector_utils_test.py::TestInspectorUtils::test_gen_graphs_from_etrecord 2024-06-26T05:07:15.0371428Z sdk/size_analysis_tool/size_analysis_tool_test.py::SizeAnalysisToolTest::test_generate_model_size_analysis 2024-06-26T05:07:15.0377122Z [gw0] [ 11%] PASSED sdk/inspector/tests/inspector_test.py::TestETRecord::test_etrecord_generation_with_bundled_program 2024-06-26T05:07:15.1083051Z sdk/inspector/tests/inspector_test.py::TestETRecord::test_etrecord_generation_with_manager 2024-06-26T05:07:15.1088712Z [gw3] [ 11%] PASSED exir/_serialize/test/test_program.py::TestProgram::test_round_trip_no_segments_and_no_header 2024-06-26T05:07:15.1100493Z exir/_serialize/test/test_program.py::TestProgram::test_round_trip_with_segments 2024-06-26T05:07:15.1105404Z [gw3] [ 11%] SKIPPED exir/_serialize/test/test_program.py::TestProgram::test_round_trip_with_segments 2024-06-26T05:07:15.1416657Z exir/_serialize/test/test_program.py::TestProgram::test_unused_inline_delegate_blobs_with_segments 2024-06-26T05:07:15.1423313Z [gw3] [ 12%] PASSED exir/_serialize/test/test_program.py::TestProgram::test_unused_inline_delegate_blobs_with_segments 2024-06-26T05:07:15.1434566Z exir/_serialize/test/test_program.py::TestExtendedHeader::test_from_bytes_invalid_length 2024-06-26T05:07:15.1441118Z [gw3] [ 12%] PASSED exir/_serialize/test/test_program.py::TestExtendedHeader::test_from_bytes_invalid_length 2024-06-26T05:07:15.1451417Z exir/_serialize/test/test_program.py::TestExtendedHeader::test_from_bytes_invalid_magic 2024-06-26T05:07:15.1458240Z [gw3] [ 12%] PASSED exir/_serialize/test/test_program.py::TestExtendedHeader::test_from_bytes_invalid_magic 2024-06-26T05:07:15.1465366Z exir/_serialize/test/test_program.py::TestExtendedHeader::test_from_bytes_larger_than_needed_header_size_field 2024-06-26T05:07:15.1469580Z [gw0] [ 13%] PASSED sdk/inspector/tests/inspector_test.py::TestETRecord::test_etrecord_generation_with_manager 2024-06-26T05:07:15.1476057Z [gw3] [ 13%] PASSED exir/_serialize/test/test_program.py::TestExtendedHeader::test_from_bytes_larger_than_needed_header_size_field 2024-06-26T05:07:15.1478703Z sdk/inspector/tests/inspector_test.py::TestETRecord::test_etrecord_invalid_input 2024-06-26T05:07:15.1483407Z exir/_serialize/test/test_program.py::TestExtendedHeader::test_from_bytes_not_enough_data_fails 2024-06-26T05:07:15.1489775Z [gw3] [ 13%] PASSED exir/_serialize/test/test_program.py::TestExtendedHeader::test_from_bytes_not_enough_data_fails 2024-06-26T05:07:15.1497755Z exir/_serialize/test/test_program.py::TestExtendedHeader::test_from_bytes_valid 2024-06-26T05:07:15.1503432Z [gw3] [ 14%] PASSED exir/_serialize/test/test_program.py::TestExtendedHeader::test_from_bytes_valid 2024-06-26T05:07:15.1512090Z exir/_serialize/test/test_program.py::TestExtendedHeader::test_from_bytes_with_more_data_than_necessary 2024-06-26T05:07:15.1518396Z [gw3] [ 14%] PASSED exir/_serialize/test/test_program.py::TestExtendedHeader::test_from_bytes_with_more_data_than_necessary 2024-06-26T05:07:15.1526429Z exir/_serialize/test/test_program.py::TestExtendedHeader::test_to_bytes 2024-06-26T05:07:15.1532777Z [gw3] [ 14%] PASSED exir/_serialize/test/test_program.py::TestExtendedHeader::test_to_bytes 2024-06-26T05:07:15.1545624Z exir/_serialize/test/test_program.py::TestExtendedHeader::test_to_bytes_with_non_defaults 2024-06-26T05:07:15.1555228Z [gw3] [ 15%] PASSED exir/_serialize/test/test_program.py::TestExtendedHeader::test_to_bytes_with_non_defaults 2024-06-26T05:07:15.1896930Z exir/backend/test/test_backends_nested.py::TestNestedBackends::test 2024-06-26T05:07:15.1902951Z [gw0] [ 15%] PASSED sdk/inspector/tests/inspector_test.py::TestETRecord::test_etrecord_invalid_input 2024-06-26T05:07:15.2344663Z sdk/inspector/tests/inspector_test.py::TestETRecord::test_etrecord_reserved_name 2024-06-26T05:07:15.2351631Z [gw0] [ 15%] PASSED sdk/inspector/tests/inspector_test.py::TestETRecord::test_etrecord_reserved_name 2024-06-26T05:07:15.2427177Z sdk/inspector/tests/inspector_test.py::TestInspector::test_event_block_to_dataframe 2024-06-26T05:07:15.2430772Z [gw0] [ 16%] PASSED sdk/inspector/tests/inspector_test.py::TestInspector::test_event_block_to_dataframe 2024-06-26T05:07:15.2439640Z sdk/inspector/tests/inspector_test.py::TestInspector::test_inspector_associate_with_op_graph_nodes_multiple_debug_handles 2024-06-26T05:07:15.2445909Z [gw0] [ 16%] PASSED sdk/inspector/tests/inspector_test.py::TestInspector::test_inspector_associate_with_op_graph_nodes_multiple_debug_handles 2024-06-26T05:07:15.2454006Z sdk/inspector/tests/inspector_test.py::TestInspector::test_inspector_associate_with_op_graph_nodes_single_debug_handle 2024-06-26T05:07:15.2461206Z [gw0] [ 16%] PASSED sdk/inspector/tests/inspector_test.py::TestInspector::test_inspector_associate_with_op_graph_nodes_single_debug_handle 2024-06-26T05:07:15.2486662Z sdk/inspector/tests/inspector_test.py::TestInspector::test_inspector_constructor 2024-06-26T05:07:15.2488937Z [gw0] [ 17%] PASSED sdk/inspector/tests/inspector_test.py::TestInspector::test_inspector_constructor 2024-06-26T05:07:15.2495771Z sdk/inspector/tests/inspector_test.py::TestInspector::test_inspector_delegate_time_scale_converter 2024-06-26T05:07:15.2501944Z [gw0] [ 17%] PASSED sdk/inspector/tests/inspector_test.py::TestInspector::test_inspector_delegate_time_scale_converter 2024-06-26T05:07:15.4670031Z sdk/inspector/tests/inspector_test.py::TestInspector::test_inspector_get_exported_program 2024-06-26T05:07:15.4675679Z [gw0] [ 17%] PASSED sdk/inspector/tests/inspector_test.py::TestInspector::test_inspector_get_exported_program 2024-06-26T05:07:15.5196964Z exir/backend/test/test_delegate_map_builder.py::TestDelegateMapBuilder::test_omitting_identifier_when_not_generated 2024-06-26T05:07:15.5200011Z [gw0] [ 18%] PASSED exir/backend/test/test_delegate_map_builder.py::TestDelegateMapBuilder::test_omitting_identifier_when_not_generated 2024-06-26T05:07:15.5684390Z exir/backend/test/test_delegate_map_builder.py::TestDelegateMapBuilder::test_passing_both_nodes_and_handles 2024-06-26T05:07:15.5688816Z [gw0] [ 18%] PASSED exir/backend/test/test_delegate_map_builder.py::TestDelegateMapBuilder::test_passing_both_nodes_and_handles 2024-06-26T05:07:15.6180343Z exir/backend/test/test_delegate_map_builder.py::TestDelegateMapBuilder::test_reinsert_delegate_debug_identifier 2024-06-26T05:07:15.6187785Z [gw0] [ 18%] PASSED exir/backend/test/test_delegate_map_builder.py::TestDelegateMapBuilder::test_reinsert_delegate_debug_identifier 2024-06-26T05:07:15.6319360Z exir/backend/test/test_graph_partition.py::TestGraphPartition::test_graph_partition_with_op_support 2024-06-26T05:07:15.6322023Z [gw3] [ 18%] PASSED exir/backend/test/test_backends_nested.py::TestNestedBackends::test 2024-06-26T05:07:15.7270915Z exir/backend/test/test_debug_handle_map.py::TestBackendDebugHandle::test_add_mul_partitioner 2024-06-26T05:07:15.7273849Z [gw3] [ 19%] PASSED exir/backend/test/test_debug_handle_map.py::TestBackendDebugHandle::test_add_mul_partitioner 2024-06-26T05:07:15.8326744Z exir/backend/test/test_debug_handle_map.py::TestBackendDebugHandle::test_lowered_the_whole_model 2024-06-26T05:07:15.8329924Z [gw0] [ 19%] PASSED exir/backend/test/test_graph_partition.py::TestGraphPartition::test_graph_partition_with_op_support 2024-06-26T05:07:16.0145271Z exir/backend/test/test_graph_partition.py::TestGraphPartition::test_partition_list_without_op_support_one_partition 2024-06-26T05:07:16.0148427Z [gw0] [ 19%] PASSED exir/backend/test/test_graph_partition.py::TestGraphPartition::test_partition_list_without_op_support_one_partition 2024-06-26T05:07:16.2075099Z exir/backend/test/test_graph_partition.py::TestGraphPartition::test_partition_list_without_op_support_two_partitions 2024-06-26T05:07:16.2081843Z [gw0] [ 20%] PASSED exir/backend/test/test_graph_partition.py::TestGraphPartition::test_partition_list_without_op_support_two_partitions 2024-06-26T05:07:16.3596141Z exir/backend/test/test_passes.py::TestPasses::test_duplicate_constant_node_pass 2024-06-26T05:07:16.3608199Z [gw0] [ 20%] PASSED exir/backend/test/test_passes.py::TestPasses::test_duplicate_constant_node_pass 2024-06-26T05:07:16.4895200Z exir/backend/test/test_utils.py::TestUtils::test_get_delegates 2024-06-26T05:07:16.4906994Z [gw0] [ 20%] PASSED exir/backend/test/test_utils.py::TestUtils::test_get_delegates 2024-06-26T05:07:16.6216417Z exir/backend/test/test_utils.py::TestUtils::test_get_delegation_info 2024-06-26T05:07:16.6221493Z [gw0] [ 21%] PASSED exir/backend/test/test_utils.py::TestUtils::test_get_delegation_info 2024-06-26T05:07:16.7030310Z exir/backend/test/test_utils.py::TestUtils::test_get_non_lowered_nodes [W626 05:07:16.310334844 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:16.7036712Z [W626 05:07:16.310387763 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:16.7042511Z [W626 05:07:16.310407193 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:16.7048780Z [W626 05:07:16.310420737 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:16.7054715Z [W626 05:07:16.310466873 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:16.7060854Z [W626 05:07:16.310479429 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:16.7156708Z [W626 05:07:16.310520570 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:16.7164015Z [W626 05:07:16.310532434 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:16.7171941Z [W626 05:07:16.310560995 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:16.7178932Z [W626 05:07:16.310579012 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:16.7185830Z [W626 05:07:16.310591992 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:16.7192376Z [W626 05:07:16.310604796 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:16.7199348Z [W626 05:07:16.310618090 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:16.7206011Z [W626 05:07:16.310630509 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:16.7579909Z 2024-06-26T05:07:16.7591114Z [gw0] [ 21%] PASSED exir/backend/test/test_utils.py::TestUtils::test_get_non_lowered_nodes 2024-06-26T05:07:16.7631875Z exir/backend/test/test_utils.py::TestUtils::test_identical_graph_for_composite_module 2024-06-26T05:07:16.7645703Z [gw0] [ 21%] PASSED exir/backend/test/test_utils.py::TestUtils::test_identical_graph_for_composite_module 2024-06-26T05:07:16.7757738Z exir/backend/test/test_utils.py::TestUtils::test_identical_graph_for_linear 2024-06-26T05:07:16.7767481Z [gw0] [ 22%] PASSED exir/backend/test/test_utils.py::TestUtils::test_identical_graph_for_linear 2024-06-26T05:07:16.7796163Z exir/backend/test/test_utils.py::TestUtils::test_identical_graph_with_unused_args 2024-06-26T05:07:16.7807275Z [gw0] [ 22%] PASSED exir/backend/test/test_utils.py::TestUtils::test_identical_graph_with_unused_args 2024-06-26T05:07:16.7837513Z exir/backend/test/test_utils.py::TestUtils::test_identical_graph_with_used_args 2024-06-26T05:07:16.7847297Z [gw0] [ 22%] PASSED exir/backend/test/test_utils.py::TestUtils::test_identical_graph_with_used_args 2024-06-26T05:07:16.8923237Z exir/backend/test/test_utils.py::TestUtils::test_invalid_partitioner_without_partitioner 2024-06-26T05:07:16.8932817Z [gw0] [ 23%] PASSED exir/backend/test/test_utils.py::TestUtils::test_invalid_partitioner_without_partitioner 2024-06-26T05:07:17.0251020Z exir/emit/test/test_emit.py::TestEmit::test_basic_end_to_end 2024-06-26T05:07:17.0257623Z [gw0] [ 23%] PASSED exir/emit/test/test_emit.py::TestEmit::test_basic_end_to_end 2024-06-26T05:07:17.1930172Z exir/emit/test/test_emit.py::TestEmit::test_constant_output 2024-06-26T05:07:17.1939982Z [gw0] [ 23%] PASSED exir/emit/test/test_emit.py::TestEmit::test_constant_output 2024-06-26T05:07:17.4297407Z exir/emit/test/test_emit.py::TestEmit::test_delegate_mapping 2024-06-26T05:07:17.4302651Z [gw0] [ 24%] PASSED exir/emit/test/test_emit.py::TestEmit::test_delegate_mapping 2024-06-26T05:07:17.6410731Z exir/emit/test/test_emit.py::TestEmit::test_delegate_with_input_list 2024-06-26T05:07:17.6417145Z [gw2] [ 24%] PASSED sdk/size_analysis_tool/size_analysis_tool_test.py::SizeAnalysisToolTest::test_generate_model_size_analysis 2024-06-26T05:07:17.6439675Z examples/models/llama2/tests/test_simple_sdpa.py::SDPATest::test_simple_sdpa 2024-06-26T05:07:17.6446065Z [gw0] [ 24%] PASSED exir/emit/test/test_emit.py::TestEmit::test_delegate_with_input_list 2024-06-26T05:07:17.6473821Z exir/emit/test/test_emit.py::TestEmit::test_delegate_with_input_tuple 2024-06-26T05:07:17.6480930Z [gw2] [ 25%] PASSED examples/models/llama2/tests/test_simple_sdpa.py::SDPATest::test_simple_sdpa 2024-06-26T05:07:17.6494947Z exir/_serialize/test/test_cord.py::TestCord::test_cord_append 2024-06-26T05:07:17.6504026Z [gw2] [ 25%] PASSED exir/_serialize/test/test_cord.py::TestCord::test_cord_append 2024-06-26T05:07:17.6512293Z exir/_serialize/test/test_cord.py::TestCord::test_cord_append_cord 2024-06-26T05:07:17.6520554Z [gw2] [ 25%] PASSED exir/_serialize/test/test_cord.py::TestCord::test_cord_append_cord 2024-06-26T05:07:17.6531102Z exir/_serialize/test/test_cord.py::TestCord::test_cord_init 2024-06-26T05:07:17.6539119Z [gw2] [ 26%] PASSED exir/_serialize/test/test_cord.py::TestCord::test_cord_init 2024-06-26T05:07:17.6549884Z exir/_serialize/test/test_cord.py::TestCord::test_cord_write_to_file 2024-06-26T05:07:17.6559242Z [gw2] [ 26%] PASSED exir/_serialize/test/test_cord.py::TestCord::test_cord_write_to_file 2024-06-26T05:07:17.6577406Z exir/_serialize/test/test_flatbuffer.py::TestResourceFiles::test_load_and_write 2024-06-26T05:07:17.6586025Z [gw2] [ 26%] PASSED exir/_serialize/test/test_flatbuffer.py::TestResourceFiles::test_load_and_write 2024-06-26T05:07:17.6603156Z exir/_serialize/test/test_flatbuffer.py::TestResourceFiles::test_load_patch_and_write 2024-06-26T05:07:17.6612101Z [gw2] [ 27%] PASSED exir/_serialize/test/test_flatbuffer.py::TestResourceFiles::test_load_patch_and_write 2024-06-26T05:07:17.6632442Z exir/_serialize/test/test_flatbuffer.py::TestPrepareSchema::test_bad_delegate_alignment_fails 2024-06-26T05:07:17.6642026Z [gw2] [ 27%] PASSED exir/_serialize/test/test_flatbuffer.py::TestPrepareSchema::test_bad_delegate_alignment_fails 2024-06-26T05:07:17.7576461Z exir/backend/test/test_utils.py::TestUtils::test_match_attrs [W626 05:07:17.364909360 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:17.7584233Z [W626 05:07:17.364945686 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:17.8562589Z 2024-06-26T05:07:17.8568772Z [gw2] [ 27%] PASSED exir/backend/test/test_utils.py::TestUtils::test_match_attrs 2024-06-26T05:07:17.9505303Z exir/backend/test/test_utils.py::TestUtils::test_not_identical_graph_for_args 2024-06-26T05:07:17.9510558Z [gw0] [ 27%] PASSED exir/emit/test/test_emit.py::TestEmit::test_delegate_with_input_tuple 2024-06-26T05:07:18.0373485Z exir/emit/test/test_emit.py::TestEmit::test_dim_order 2024-06-26T05:07:18.0375497Z [gw2] [ 28%] PASSED exir/backend/test/test_utils.py::TestUtils::test_not_identical_graph_for_args 2024-06-26T05:07:18.1068731Z exir/backend/test/test_utils.py::TestUtils::test_print_delegted_graph 2024-06-26T05:07:18.1072713Z [gw0] [ 28%] PASSED exir/emit/test/test_emit.py::TestEmit::test_dim_order 2024-06-26T05:07:18.1801846Z exir/emit/test/test_emit.py::TestEmit::test_emit_cond 2024-06-26T05:07:18.1806317Z [gw2] [ 28%] PASSED exir/backend/test/test_utils.py::TestUtils::test_print_delegted_graph 2024-06-26T05:07:18.1824395Z exir/dialects/backend/test/test_backend_ops.py::TestBackendOps::test_backend_ops_equivalent_pattern 2024-06-26T05:07:18.1833559Z [gw2] [ 29%] PASSED exir/dialects/backend/test/test_backend_ops.py::TestBackendOps::test_backend_ops_equivalent_pattern 2024-06-26T05:07:18.1838730Z exir/dialects/backend/test/test_backend_ops.py::TestBackendOps::test_backend_ops_with_default_kernel_is_callable 2024-06-26T05:07:18.1845883Z [gw2] [ 29%] PASSED exir/dialects/backend/test/test_backend_ops.py::TestBackendOps::test_backend_ops_with_default_kernel_is_callable 2024-06-26T05:07:18.1870089Z exir/dialects/backend/test/test_backend_ops.py::TestBackendOps::test_backend_ops_with_meta_kernel_passes 2024-06-26T05:07:18.1877140Z [gw2] [ 29%] PASSED exir/dialects/backend/test/test_backend_ops.py::TestBackendOps::test_backend_ops_with_meta_kernel_passes 2024-06-26T05:07:18.1890828Z exir/dialects/backend/test/test_backend_ops.py::TestBackendOps::test_backend_ops_with_schema 2024-06-26T05:07:18.1896521Z [gw2] [ 30%] PASSED exir/dialects/backend/test/test_backend_ops.py::TestBackendOps::test_backend_ops_with_schema 2024-06-26T05:07:18.1908006Z exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_allowed_dtype_set 2024-06-26T05:07:18.1913639Z [gw2] [ 30%] PASSED exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_allowed_dtype_set 2024-06-26T05:07:18.1922965Z exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_callable_gives_same_result 2024-06-26T05:07:18.1929431Z [gw2] [ 30%] PASSED exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_callable_gives_same_result 2024-06-26T05:07:18.1936208Z exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_edge_add_dtype_constraints_content 2024-06-26T05:07:18.1941406Z [gw2] [ 31%] PASSED exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_edge_add_dtype_constraints_content 2024-06-26T05:07:18.1949550Z exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_edge_argument_dtype_constraints 2024-06-26T05:07:18.1954113Z [gw2] [ 31%] PASSED exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_edge_argument_dtype_constraints 2024-06-26T05:07:18.1961644Z exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_edge_op_dtype_constraints_validation_function 2024-06-26T05:07:18.1967322Z [gw2] [ 31%] PASSED exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_edge_op_dtype_constraints_validation_function 2024-06-26T05:07:18.1976060Z exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_edge_op_dtype_constraints_validation_function_with_optional_tensor_input 2024-06-26T05:07:18.1981240Z [gw2] [ 32%] PASSED exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_edge_op_dtype_constraints_validation_function_with_optional_tensor_input 2024-06-26T05:07:18.1988075Z exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_edge_op_dtype_constraints_validation_function_with_tensor_list_input 2024-06-26T05:07:18.1994100Z [gw2] [ 32%] PASSED exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_edge_op_dtype_constraints_validation_function_with_tensor_list_input 2024-06-26T05:07:18.3232231Z exir/emit/test/test_emit.py::TestEmit::test_emit_weight_view 2024-06-26T05:07:18.3237160Z [gw2] [ 32%] PASSED exir/emit/test/test_emit.py::TestEmit::test_emit_weight_view 2024-06-26T05:07:18.3764892Z exir/emit/test/test_emit.py::TestEmit::test_final_graph_module_update_debug_handle 2024-06-26T05:07:18.3771197Z [gw0] [ 33%] PASSED exir/emit/test/test_emit.py::TestEmit::test_emit_cond 2024-06-26T05:07:18.4851449Z exir/emit/test/test_emit.py::TestEmit::test_emit_debug_handle_map 2024-06-26T05:07:18.4857826Z [gw2] [ 33%] PASSED exir/emit/test/test_emit.py::TestEmit::test_final_graph_module_update_debug_handle 2024-06-26T05:07:18.5085883Z exir/emit/test/test_emit.py::TestEmit::test_inplace_ops 2024-06-26T05:07:18.5092159Z [gw0] [ 33%] PASSED exir/emit/test/test_emit.py::TestEmit::test_emit_debug_handle_map 2024-06-26T05:07:18.7113892Z exir/emit/test/test_emit.py::TestEmit::test_emit_execution_plans_sorted 2024-06-26T05:07:18.7122487Z [gw2] [ 34%] PASSED exir/emit/test/test_emit.py::TestEmit::test_inplace_ops 2024-06-26T05:07:18.9573976Z exir/emit/test/test_emit.py::TestEmit::test_int_list_input 2024-06-26T05:07:18.9575597Z [gw2] [ 34%] PASSED exir/emit/test/test_emit.py::TestEmit::test_int_list_input 2024-06-26T05:07:19.0018244Z exir/emit/test/test_emit.py::TestEmit::test_kwargs1 2024-06-26T05:07:19.0031821Z [gw0] [ 34%] PASSED exir/emit/test/test_emit.py::TestEmit::test_emit_execution_plans_sorted 2024-06-26T05:07:19.1694559Z exir/emit/test/test_emit.py::TestEmit::test_emit_layout 2024-06-26T05:07:19.1709968Z [gw2] [ 35%] PASSED exir/emit/test/test_emit.py::TestEmit::test_kwargs1 2024-06-26T05:07:19.1725804Z exir/emit/test/test_emit.py::TestEmit::test_kwargs2 2024-06-26T05:07:19.1737909Z [gw0] [ 35%] PASSED exir/emit/test/test_emit.py::TestEmit::test_emit_layout 2024-06-26T05:07:19.3199729Z exir/emit/test/test_emit.py::TestEmit::test_emit_lifted_tensor_constant 2024-06-26T05:07:19.3248591Z [gw2] [ 35%] PASSED exir/emit/test/test_emit.py::TestEmit::test_kwargs2 2024-06-26T05:07:19.3783993Z exir/emit/test/test_emit.py::TestEmit::test_list_type 2024-06-26T05:07:19.3795303Z [gw0] [ 36%] PASSED exir/emit/test/test_emit.py::TestEmit::test_emit_lifted_tensor_constant 2024-06-26T05:07:19.4628173Z exir/emit/test/test_emit.py::TestEmit::test_emit_map 2024-06-26T05:07:19.4643841Z [gw2] [ 36%] PASSED exir/emit/test/test_emit.py::TestEmit::test_list_type 2024-06-26T05:07:19.6461611Z exir/emit/test/test_emit.py::TestEmit::test_model_out 2024-06-26T05:07:19.6477655Z [gw2] [ 36%] PASSED exir/emit/test/test_emit.py::TestEmit::test_model_out 2024-06-26T05:07:19.8181298Z exir/emit/test/test_emit.py::TestEmit::test_mutable_buffers I 00:00:08.152207 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:07:19.8194836Z 2024-06-26T05:07:19.8202464Z [gw2] [ 36%] PASSED exir/emit/test/test_emit.py::TestEmit::test_mutable_buffers 2024-06-26T05:07:19.8486338Z exir/emit/test/test_emit.py::TestEmit::test_mutable_buffers_without_memplanned_inputs 2024-06-26T05:07:19.8490449Z [gw0] [ 37%] PASSED exir/emit/test/test_emit.py::TestEmit::test_emit_map 2024-06-26T05:07:19.9536889Z exir/emit/test/test_emit.py::TestEmit::test_emit_memory_format_invalid I 00:00:08.287786 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:07:19.9547358Z 2024-06-26T05:07:19.9561021Z [gw2] [ 37%] PASSED exir/emit/test/test_emit.py::TestEmit::test_mutable_buffers_without_memplanned_inputs 2024-06-26T05:07:19.9567979Z exir/emit/test/test_emit.py::TestEmit::test_nested_return 2024-06-26T05:07:19.9573757Z [gw2] [ 37%] SKIPPED exir/emit/test/test_emit.py::TestEmit::test_nested_return 2024-06-26T05:07:20.0170429Z exir/emit/test/test_emit.py::TestEmit::test_non_const_buffer_sizes 2024-06-26T05:07:20.0174423Z [gw0] [ 38%] PASSED exir/emit/test/test_emit.py::TestEmit::test_emit_memory_format_invalid 2024-06-26T05:07:20.1371097Z exir/emit/test/test_emit.py::TestEmit::test_emit_memory_format_valid 2024-06-26T05:07:20.1376341Z [gw0] [ 38%] PASSED exir/emit/test/test_emit.py::TestEmit::test_emit_memory_format_valid 2024-06-26T05:07:20.1897366Z exir/emit/test/test_emit.py::TestEmit::test_emit_multiple_entry_points 2024-06-26T05:07:20.1902376Z [gw2] [ 38%] PASSED exir/emit/test/test_emit.py::TestEmit::test_non_const_buffer_sizes 2024-06-26T05:07:20.3053402Z exir/emit/test/test_emit.py::TestEmit::test_non_persistent_buffer 2024-06-26T05:07:20.3057846Z [gw2] [ 39%] PASSED exir/emit/test/test_emit.py::TestEmit::test_non_persistent_buffer 2024-06-26T05:07:20.4290563Z exir/emit/test/test_emit.py::TestEmit::test_operators_unique 2024-06-26T05:07:20.4294089Z [gw0] [ 39%] PASSED exir/emit/test/test_emit.py::TestEmit::test_emit_multiple_entry_points 2024-06-26T05:07:20.4300457Z exir/emit/test/test_emit.py::TestEmit::test_emit_multiple_out 2024-06-26T05:07:20.4307513Z [gw0] [ 39%] SKIPPED exir/emit/test/test_emit.py::TestEmit::test_emit_multiple_out 2024-06-26T05:07:20.4641451Z exir/emit/test/test_emit.py::TestEmit::test_emit_prims 2024-06-26T05:07:20.4646080Z [gw2] [ 40%] PASSED exir/emit/test/test_emit.py::TestEmit::test_operators_unique 2024-06-26T05:07:20.5235966Z exir/emit/test/test_emit.py::TestEmit::test_optional_float_list 2024-06-26T05:07:20.5242652Z [gw3] [ 40%] PASSED exir/backend/test/test_debug_handle_map.py::TestBackendDebugHandle::test_lowered_the_whole_model 2024-06-26T05:07:20.5756618Z exir/backend/test/test_delegate_map_builder.py::TestDelegateMapBuilder::test_adding_manual_identifier_when_generated 2024-06-26T05:07:20.5762636Z [gw3] [ 40%] PASSED exir/backend/test/test_delegate_map_builder.py::TestDelegateMapBuilder::test_adding_manual_identifier_when_generated 2024-06-26T05:07:20.7246561Z exir/backend/test/test_delegate_map_builder.py::TestDelegateMapBuilder::test_backend_with_delegate_mapping 2024-06-26T05:07:20.7267534Z [gw2] [ 41%] PASSED exir/emit/test/test_emit.py::TestEmit::test_optional_float_list 2024-06-26T05:07:20.7746715Z exir/emit/test/test_emit.py::TestEmit::test_optional_tensor_list I 00:00:09.108615 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:07:20.7761024Z 2024-06-26T05:07:20.7770836Z [gw0] [ 41%] PASSED exir/emit/test/test_emit.py::TestEmit::test_emit_prims 2024-06-26T05:07:20.7897848Z exir/emit/test/test_emit.py::TestEmit::test_emit_weight_deduplication [W626 05:07:20.396826296 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:20.7905647Z [W626 05:07:20.396870015 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:20.7912515Z [W626 05:07:20.396898663 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:20.7919408Z [W626 05:07:20.396919823 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:21.0034954Z 2024-06-26T05:07:21.0047657Z [gw3] [ 41%] PASSED exir/backend/test/test_delegate_map_builder.py::TestDelegateMapBuilder::test_backend_with_delegate_mapping 2024-06-26T05:07:21.0777373Z exir/backend/test/test_delegate_map_builder.py::TestDelegateMapBuilder::test_basic_generated_identifier 2024-06-26T05:07:21.0782252Z [gw3] [ 42%] PASSED exir/backend/test/test_delegate_map_builder.py::TestDelegateMapBuilder::test_basic_generated_identifier 2024-06-26T05:07:21.1219089Z exir/backend/test/test_delegate_map_builder.py::TestDelegateMapBuilder::test_basic_manual_int_identifier 2024-06-26T05:07:21.1225986Z [gw2] [ 42%] PASSED exir/emit/test/test_emit.py::TestEmit::test_optional_tensor_list 2024-06-26T05:07:21.1377323Z exir/emit/test/test_emit.py::TestEmit::test_out 2024-06-26T05:07:21.1383818Z [gw3] [ 42%] PASSED exir/backend/test/test_delegate_map_builder.py::TestDelegateMapBuilder::test_basic_manual_int_identifier 2024-06-26T05:07:21.1592373Z exir/backend/test/test_delegate_map_builder.py::TestDelegateMapBuilder::test_basic_manual_string_identifier 2024-06-26T05:07:21.1597830Z [gw0] [ 43%] PASSED exir/emit/test/test_emit.py::TestEmit::test_emit_weight_deduplication 2024-06-26T05:07:21.2033453Z exir/program/test/test_program.py::TestProgramManagers::test_edge_to_backend_selective 2024-06-26T05:07:21.2039930Z [gw3] [ 43%] PASSED exir/backend/test/test_delegate_map_builder.py::TestDelegateMapBuilder::test_basic_manual_string_identifier 2024-06-26T05:07:21.2511792Z exir/backend/test/test_delegate_map_builder.py::TestDelegateMapBuilder::test_missing_handle_filtering 2024-06-26T05:07:21.2514540Z [gw2] [ 43%] PASSED exir/emit/test/test_emit.py::TestEmit::test_out 2024-06-26T05:07:21.2548316Z exir/emit/test/test_emit.py::TestEmit::test_positional_argument_default_value 2024-06-26T05:07:21.2558678Z [gw3] [ 44%] PASSED exir/backend/test/test_delegate_map_builder.py::TestDelegateMapBuilder::test_missing_handle_filtering 2024-06-26T05:07:21.2578903Z exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_get_new_registered_out_var 2024-06-26T05:07:21.2584797Z [gw3] [ 44%] PASSED exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_get_new_registered_out_var 2024-06-26T05:07:21.2594776Z exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_op_not_included_by_yaml 2024-06-26T05:07:21.2599586Z [gw3] [ 44%] PASSED exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_op_not_included_by_yaml 2024-06-26T05:07:21.2606904Z exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_schema_name_same_as_aten_op 2024-06-26T05:07:21.2612955Z [gw3] [ 45%] PASSED exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_schema_name_same_as_aten_op 2024-06-26T05:07:21.2626500Z exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_to_out_variant_raises_exception_when_no_out_variant 2024-06-26T05:07:21.2631742Z [gw3] [ 45%] PASSED exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_to_out_variant_raises_exception_when_no_out_variant 2024-06-26T05:07:21.2644540Z exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_to_out_variant_returns_correct_op 2024-06-26T05:07:21.2650491Z [gw3] [ 45%] PASSED exir/dialects/edge/test/test_edge_ops.py::TestEdgeOps::test_to_out_variant_returns_correct_op 2024-06-26T05:07:21.2660833Z exir/dialects/edge/test/test_edge_yaml.py::TestEdgeYaml::test_edge_op_yaml_info_combine_same_format 2024-06-26T05:07:21.2666366Z [gw3] [ 45%] PASSED exir/dialects/edge/test/test_edge_yaml.py::TestEdgeYaml::test_edge_op_yaml_info_combine_same_format 2024-06-26T05:07:21.2674395Z exir/dialects/edge/test/test_edge_yaml.py::TestEdgeYaml::test_edge_op_yaml_info_combine_types_with_all_same_types 2024-06-26T05:07:21.2681280Z [gw3] [ 46%] PASSED exir/dialects/edge/test/test_edge_yaml.py::TestEdgeYaml::test_edge_op_yaml_info_combine_types_with_all_same_types 2024-06-26T05:07:21.3807723Z exir/dialects/edge/test/test_edge_yaml.py::TestEdgeYaml::test_optional_tensor_supported 2024-06-26T05:07:21.3931749Z [gw2] [ 46%] PASSED exir/emit/test/test_emit.py::TestEmit::test_positional_argument_default_value 2024-06-26T05:07:21.4051404Z exir/emit/test/test_emit.py::TestEmit::test_stacktrace 2024-06-26T05:07:21.4067869Z [gw3] [ 46%] PASSED exir/dialects/edge/test/test_edge_yaml.py::TestEdgeYaml::test_optional_tensor_supported 2024-06-26T05:07:21.4076912Z exir/dialects/edge/test/test_edge_yaml.py::TestEdgeYaml::test_tensor_list_supported 2024-06-26T05:07:21.4090949Z [gw3] [ 47%] PASSED exir/dialects/edge/test/test_edge_yaml.py::TestEdgeYaml::test_tensor_list_supported 2024-06-26T05:07:21.5465410Z exir/dialects/edge/test/test_edge_yaml.py::TestEdgeYaml::test_to_copy_sample_input_has_enough_coverage 2024-06-26T05:07:21.5474960Z [gw3] [ 47%] PASSED exir/dialects/edge/test/test_edge_yaml.py::TestEdgeYaml::test_to_copy_sample_input_has_enough_coverage 2024-06-26T05:07:21.5489039Z exir/dialects/test/test_exir_dialect_ops.py::TestExirDialectOps::test_backend_op_should_not_contain_aten_op 2024-06-26T05:07:21.5500082Z [gw3] [ 47%] PASSED exir/dialects/test/test_exir_dialect_ops.py::TestExirDialectOps::test_backend_op_should_not_contain_aten_op 2024-06-26T05:07:21.5516368Z exir/dialects/test/test_exir_dialect_ops.py::TestExirDialectOps::test_ops 2024-06-26T05:07:21.5523372Z [gw3] [ 48%] PASSED exir/dialects/test/test_exir_dialect_ops.py::TestExirDialectOps::test_ops 2024-06-26T05:07:21.5534392Z [gw0] [ 48%] PASSED exir/program/test/test_program.py::TestProgramManagers::test_edge_to_backend_selective 2024-06-26T05:07:21.5541487Z exir/program/test/test_program.py::TestProgramManagers::test_executorch_manager_basic_api 2024-06-26T05:07:21.5778292Z exir/emit/test/test_emit.py::TestEmit::test_basic_api 2024-06-26T05:07:21.5795833Z [gw2] [ 48%] PASSED exir/emit/test/test_emit.py::TestEmit::test_stacktrace 2024-06-26T05:07:21.6805751Z exir/emit/test/test_emit.py::TestEmit::test_stacktrace_off 2024-06-26T05:07:21.6811893Z [gw3] [ 49%] PASSED exir/emit/test/test_emit.py::TestEmit::test_basic_api 2024-06-26T05:07:21.7443526Z exir/tests/test_delegate.py::TestDelegate::test_create_submodule_list_return 2024-06-26T05:07:21.7448316Z [gw2] [ 49%] PASSED exir/emit/test/test_emit.py::TestEmit::test_stacktrace_off 2024-06-26T05:07:21.7978326Z exir/emit/test/test_emit.py::TestEmit::test_upper_bound_memory_planning_respect_input_constraints 2024-06-26T05:07:21.7983709Z [gw3] [ 49%] PASSED exir/tests/test_delegate.py::TestDelegate::test_create_submodule_list_return 2024-06-26T05:07:21.8776250Z exir/tests/test_delegate.py::TestDelegate::test_create_submodule_multiple_return I 00:00:10.211657 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:07:21.8778980Z E 00:00:10.211962 executorch:method_meta.cpp:164] Tag: 2 output: 0 is not Tensor 2024-06-26T05:07:21.8781093Z I 00:00:10.211977 executorch:pybindings.cpp:506] Tensor meta doesn't exist for output 0, error is 0x12, skipping allocating storage 2024-06-26T05:07:21.8782859Z E 00:00:10.211982 executorch:method.cpp:959] output type: 2 is not tensor 2024-06-26T05:07:21.8784127Z E 00:00:10.211985 executorch:pybindings.cpp:200] Cannot set_output_data_ptr(): 0x12 2024-06-26T05:07:21.8785575Z E 00:00:10.212007 executorch:method_meta.cpp:164] Tag: 4 output: 0 is not Tensor 2024-06-26T05:07:21.8787725Z I 00:00:10.212022 executorch:pybindings.cpp:506] Tensor meta doesn't exist for output 0, error is 0x12, skipping allocating storage 2024-06-26T05:07:21.8789444Z E 00:00:10.212028 executorch:method.cpp:959] output type: 4 is not tensor 2024-06-26T05:07:21.8790816Z E 00:00:10.212034 executorch:pybindings.cpp:200] Cannot set_output_data_ptr(): 0x12 2024-06-26T05:07:21.8791717Z 2024-06-26T05:07:21.8808612Z [gw0] [ 50%] PASSED exir/program/test/test_program.py::TestProgramManagers::test_executorch_manager_basic_api 2024-06-26T05:07:21.8933688Z exir/program/test/test_program.py::TestProgramManagers::test_executorch_manager_multi_config 2024-06-26T05:07:21.8939798Z [gw3] [ 50%] PASSED exir/tests/test_delegate.py::TestDelegate::test_create_submodule_multiple_return 2024-06-26T05:07:21.9869663Z exir/tests/test_delegate.py::TestDelegate::test_create_submodule_single_return 2024-06-26T05:07:21.9876147Z [gw3] [ 50%] PASSED exir/tests/test_delegate.py::TestDelegate::test_create_submodule_single_return 2024-06-26T05:07:22.0025752Z exir/tests/test_delegate.py::TestDelegate::test_to_backend 2024-06-26T05:07:22.0038031Z [gw2] [ 51%] PASSED exir/emit/test/test_emit.py::TestEmit::test_upper_bound_memory_planning_respect_input_constraints 2024-06-26T05:07:22.0930780Z exir/program/test/test_fake_program.py::TestFakeProgram::test_fake_program 2024-06-26T05:07:22.0937599Z [gw2] [ 51%] PASSED exir/program/test/test_fake_program.py::TestFakeProgram::test_fake_program 2024-06-26T05:07:22.1195266Z exir/program/test/test_program.py::TestProgramManagers::test_constraint_present_after_dce 2024-06-26T05:07:22.1200199Z [gw0] [ 51%] PASSED exir/program/test/test_program.py::TestProgramManagers::test_executorch_manager_multi_config 2024-06-26T05:07:22.2242194Z exir/program/test/test_program.py::TestProgramManagers::test_issue_3659 2024-06-26T05:07:22.2247536Z [gw3] [ 52%] PASSED exir/tests/test_delegate.py::TestDelegate::test_to_backend 2024-06-26T05:07:22.2256017Z exir/tests/test_dim_order_utils.py::TestDimOrderUtils::test_get_dim_order 2024-06-26T05:07:22.2262116Z [gw3] [ 52%] PASSED exir/tests/test_dim_order_utils.py::TestDimOrderUtils::test_get_dim_order 2024-06-26T05:07:22.2269736Z exir/tests/test_dim_order_utils.py::TestDimOrderUtils::test_get_memory_format 2024-06-26T05:07:22.2277312Z [gw3] [ 52%] PASSED exir/tests/test_dim_order_utils.py::TestDimOrderUtils::test_get_memory_format 2024-06-26T05:07:22.3476793Z exir/tests/test_dynamic_shape_propagation.py::TestDynamicShapeProp::test_repeat 2024-06-26T05:07:22.3482553Z [gw2] [ 53%] PASSED exir/program/test/test_program.py::TestProgramManagers::test_constraint_present_after_dce 2024-06-26T05:07:22.4639942Z exir/program/test/test_program.py::TestProgramManagers::test_edge_dialect_custom_op 2024-06-26T05:07:22.4645293Z [gw3] [ 53%] PASSED exir/tests/test_dynamic_shape_propagation.py::TestDynamicShapeProp::test_repeat 2024-06-26T05:07:22.4654477Z exir/tests/test_error.py::TestError::test_export_error_message 2024-06-26T05:07:22.4662523Z [gw3] [ 53%] PASSED exir/tests/test_error.py::TestError::test_export_error_message 2024-06-26T05:07:22.4699974Z exir/tests/test_memory_format_ops_pass.py::TestMemoryFormatOpsPass::test_op_dim_order_propagation 2024-06-26T05:07:22.4706069Z [gw2] [ 54%] PASSED exir/program/test/test_program.py::TestProgramManagers::test_edge_dialect_custom_op 2024-06-26T05:07:22.5939251Z exir/program/test/test_program.py::TestProgramManagers::test_edge_manager_basic_api I 00:00:10.916126 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:07:22.5950589Z 2024-06-26T05:07:22.5963452Z [gw0] [ 54%] PASSED exir/program/test/test_program.py::TestProgramManagers::test_issue_3659 2024-06-26T05:07:22.5966472Z [gw3] [ 54%] PASSED exir/tests/test_memory_format_ops_pass.py::TestMemoryFormatOpsPass::test_op_dim_order_propagation 2024-06-26T05:07:22.5968446Z exir/program/test/test_program.py::TestProgramManagers::test_no_getattr 2024-06-26T05:07:22.6501441Z exir/tests/test_memory_format_ops_pass.py::TestMemoryFormatOpsPass::test_op_dim_order_update 2024-06-26T05:07:22.6506478Z [gw2] [ 54%] PASSED exir/program/test/test_program.py::TestProgramManagers::test_edge_manager_basic_api 2024-06-26T05:07:22.6573661Z exir/program/test/test_program.py::TestProgramManagers::test_edge_manager_dialect 2024-06-26T05:07:22.6579354Z [gw0] [ 55%] PASSED exir/program/test/test_program.py::TestProgramManagers::test_no_getattr 2024-06-26T05:07:22.6979964Z exir/program/test/test_program.py::TestProgramManagers::test_to_edge_transform_and_lower I 00:00:11.020179 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:07:22.6990217Z 2024-06-26T05:07:22.6997350Z [gw3] [ 55%] PASSED exir/tests/test_memory_format_ops_pass.py::TestMemoryFormatOpsPass::test_op_dim_order_update 2024-06-26T05:07:22.8189904Z exir/tests/test_memory_format_ops_pass.py::TestMemoryFormatOpsPass::test_op_to_copy_replacement_2d I 00:00:11.141156 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:07:22.8199726Z 2024-06-26T05:07:22.8207312Z [gw3] [ 55%] PASSED exir/tests/test_memory_format_ops_pass.py::TestMemoryFormatOpsPass::test_op_to_copy_replacement_2d 2024-06-26T05:07:22.8406450Z exir/tests/test_memory_format_ops_pass.py::TestMemoryFormatOpsPass::test_op_to_copy_replacement_4d 2024-06-26T05:07:22.8410942Z [gw2] [ 56%] PASSED exir/program/test/test_program.py::TestProgramManagers::test_edge_manager_dialect 2024-06-26T05:07:22.9256790Z exir/program/test/test_program.py::TestProgramManagers::test_edge_manager_transform I 00:00:11.247870 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:07:22.9268073Z 2024-06-26T05:07:22.9277264Z [gw3] [ 56%] PASSED exir/tests/test_memory_format_ops_pass.py::TestMemoryFormatOpsPass::test_op_to_copy_replacement_4d 2024-06-26T05:07:22.9286513Z exir/tests/test_pass_infra.py::TestPassInfra::test_fail_passbase 2024-06-26T05:07:22.9293551Z [gw3] [ 56%] PASSED exir/tests/test_pass_infra.py::TestPassInfra::test_fail_passbase 2024-06-26T05:07:22.9883569Z exir/tests/test_pass_infra.py::TestPassInfra::test_pass_manager 2024-06-26T05:07:22.9887695Z [gw3] [ 57%] PASSED exir/tests/test_pass_infra.py::TestPassInfra::test_pass_manager 2024-06-26T05:07:23.0314314Z exir/tests/test_pass_infra.py::TestPassInfra::test_pass_manager_invalid_passes 2024-06-26T05:07:23.0319619Z [gw3] [ 57%] PASSED exir/tests/test_pass_infra.py::TestPassInfra::test_pass_manager_invalid_passes 2024-06-26T05:07:23.0439213Z exir/tests/test_pass_infra.py::TestPassInfra::test_pass_metadata 2024-06-26T05:07:23.0449851Z [gw2] [ 57%] PASSED exir/program/test/test_program.py::TestProgramManagers::test_edge_manager_transform 2024-06-26T05:07:23.0600946Z exir/program/test/test_program.py::TestProgramManagers::test_edge_to_backend_replaces_subgraph 2024-06-26T05:07:23.0605843Z [gw3] [ 58%] PASSED exir/tests/test_pass_infra.py::TestPassInfra::test_pass_metadata 2024-06-26T05:07:23.0614542Z exir/tests/test_pass_infra.py::TestPassInfra::test_pass_registry_func 2024-06-26T05:07:23.0620704Z [gw3] [ 58%] PASSED exir/tests/test_pass_infra.py::TestPassInfra::test_pass_registry_func 2024-06-26T05:07:23.0627915Z exir/tests/test_pass_infra.py::TestPassInfra::test_pass_registry_list 2024-06-26T05:07:23.0633851Z [gw3] [ 58%] PASSED exir/tests/test_pass_infra.py::TestPassInfra::test_pass_registry_list 2024-06-26T05:07:23.0641026Z exir/tests/test_pass_infra.py::TestPassInfra::test_pass_registry_passbase 2024-06-26T05:07:23.0647776Z [gw3] [ 59%] PASSED exir/tests/test_pass_infra.py::TestPassInfra::test_pass_registry_passbase 2024-06-26T05:07:23.2098580Z exir/tests/test_print_program.py::TestPrintProgram::test_inspect_node 2024-06-26T05:07:23.2102996Z [gw0] [ 59%] PASSED exir/program/test/test_program.py::TestProgramManagers::test_to_edge_transform_and_lower 2024-06-26T05:07:23.2381760Z exir/program/test/test_program.py::TestProgramManagers::test_to_edge_transform_and_lower_with_exception 2024-06-26T05:07:23.2388300Z [gw3] [ 59%] PASSED exir/tests/test_print_program.py::TestPrintProgram::test_inspect_node 2024-06-26T05:07:23.3337879Z exir/tests/test_remove_view_copy.py::TestRemoveViewCopy::test_disable 2024-06-26T05:07:23.3343567Z [gw0] [ 60%] PASSED exir/program/test/test_program.py::TestProgramManagers::test_to_edge_transform_and_lower_with_exception 2024-06-26T05:07:23.3636223Z exir/program/test/test_program.py::TestProgramManagers::test_transform_dict_api 2024-06-26T05:07:23.3642629Z [gw2] [ 60%] PASSED exir/program/test/test_program.py::TestProgramManagers::test_edge_to_backend_replaces_subgraph 2024-06-26T05:07:23.4256158Z exir/tests/test_serde.py::TestSerde::test_delegate_partitioner 2024-06-26T05:07:23.4260701Z [gw3] [ 60%] PASSED exir/tests/test_remove_view_copy.py::TestRemoveViewCopy::test_disable 2024-06-26T05:07:23.5227681Z exir/tests/test_remove_view_copy.py::TestRemoveViewCopy::test_output_matches 2024-06-26T05:07:23.5233749Z [gw0] [ 61%] PASSED exir/program/test/test_program.py::TestProgramManagers::test_transform_dict_api 2024-06-26T05:07:23.5424565Z exir/tests/test_arg_validator.py::TestArgValidator::test_edge_dialect_fails 2024-06-26T05:07:23.5428607Z [gw2] [ 61%] PASSED exir/tests/test_serde.py::TestSerde::test_delegate_partitioner 2024-06-26T05:07:23.5913381Z exir/tests/test_serde.py::TestSerde::test_meta_stack_trace_module_hierarchy 2024-06-26T05:07:23.5918472Z [gw0] [ 61%] PASSED exir/tests/test_arg_validator.py::TestArgValidator::test_edge_dialect_fails 2024-06-26T05:07:23.6365852Z exir/tests/test_arg_validator.py::TestArgValidator::test_edge_dialect_passes 2024-06-26T05:07:23.6370657Z [gw2] [ 62%] PASSED exir/tests/test_serde.py::TestSerde::test_meta_stack_trace_module_hierarchy 2024-06-26T05:07:23.6538085Z exir/tests/test_serde.py::TestSerde::test_model_with_weights 2024-06-26T05:07:23.6545896Z [gw0] [ 62%] PASSED exir/tests/test_arg_validator.py::TestArgValidator::test_edge_dialect_passes 2024-06-26T05:07:23.6579764Z exir/tests/test_capture.py::TestCapture::test_module_call_0_basic_sin_max 2024-06-26T05:07:23.6587910Z [gw3] [ 62%] PASSED exir/tests/test_remove_view_copy.py::TestRemoveViewCopy::test_output_matches 2024-06-26T05:07:23.6921948Z exir/tests/test_remove_view_copy.py::TestRemoveViewCopy::test_spec 2024-06-26T05:07:23.6928264Z [gw0] [ 63%] PASSED exir/tests/test_capture.py::TestCapture::test_module_call_0_basic_sin_max 2024-06-26T05:07:23.7559148Z exir/tests/test_capture.py::TestCapture::test_module_call_1_composite_delegate 2024-06-26T05:07:23.7563903Z [gw0] [ 63%] PASSED exir/tests/test_capture.py::TestCapture::test_module_call_1_composite_delegate 2024-06-26T05:07:23.8500116Z exir/tests/test_delegate.py::TestDelegate::test_call_delegate 2024-06-26T05:07:23.8506536Z [gw3] [ 63%] PASSED exir/tests/test_remove_view_copy.py::TestRemoveViewCopy::test_spec 2024-06-26T05:07:23.8786702Z exir/tests/test_serde.py::TestSerde::test_basic 2024-06-26T05:07:23.8791066Z [gw0] [ 63%] PASSED exir/tests/test_delegate.py::TestDelegate::test_call_delegate 2024-06-26T05:07:23.8799866Z exir/tests/test_delegate.py::TestDelegate::test_cannot_assign_attr 2024-06-26T05:07:23.8805084Z [gw0] [ 64%] PASSED exir/tests/test_delegate.py::TestDelegate::test_cannot_assign_attr 2024-06-26T05:07:23.8813335Z exir/tests/test_tensor.py::TestTensor::test_num_bytes_from_shape_and_dtype 2024-06-26T05:07:23.8818951Z [gw0] [ 64%] PASSED exir/tests/test_tensor.py::TestTensor::test_num_bytes_from_shape_and_dtype 2024-06-26T05:07:23.8827023Z exir/tests/test_tensor.py::TestTensor::test_strides_from_dim_order 2024-06-26T05:07:23.8833181Z [gw0] [ 64%] PASSED exir/tests/test_tensor.py::TestTensor::test_strides_from_dim_order 2024-06-26T05:07:23.9313697Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_aot_buffer_mutation 2024-06-26T05:07:23.9320215Z [gw2] [ 65%] PASSED exir/tests/test_serde.py::TestSerde::test_model_with_weights 2024-06-26T05:07:24.0843944Z exir/tests/test_serde.py::TestSerde::test_to_out_variant_multiple_out 2024-06-26T05:07:24.0856300Z [gw3] [ 65%] PASSED exir/tests/test_serde.py::TestSerde::test_basic 2024-06-26T05:07:24.1153594Z exir/tests/test_serde.py::TestSerde::test_delegate 2024-06-26T05:07:24.1160536Z [gw2] [ 65%] PASSED exir/tests/test_serde.py::TestSerde::test_to_out_variant_multiple_out 2024-06-26T05:07:24.2408004Z exir/tests/test_serde.py::TestSerde::test_to_out_variant_singleon_tensor_list 2024-06-26T05:07:24.2413374Z [gw0] [ 66%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_aot_buffer_mutation 2024-06-26T05:07:24.2839831Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_aot_config 2024-06-26T05:07:24.2848031Z [gw3] [ 66%] PASSED exir/tests/test_serde.py::TestSerde::test_delegate 2024-06-26T05:07:24.2849606Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_dynamic_shape 2024-06-26T05:07:24.2856963Z [gw2] [ 66%] PASSED exir/tests/test_serde.py::TestSerde::test_to_out_variant_singleon_tensor_list 2024-06-26T05:07:24.2865669Z exir/tests/test_tensor.py::TestTensor::test_allocation_info_fails 2024-06-26T05:07:24.2871705Z [gw2] [ 67%] PASSED exir/tests/test_tensor.py::TestTensor::test_allocation_info_fails 2024-06-26T05:07:24.2880145Z exir/tests/test_tensor.py::TestTensor::test_allocation_info_succeeds 2024-06-26T05:07:24.2886360Z [gw2] [ 67%] PASSED exir/tests/test_tensor.py::TestTensor::test_allocation_info_succeeds 2024-06-26T05:07:24.2896196Z exir/tests/test_tensor.py::TestTensor::test_contiguous_stride_from_shape 2024-06-26T05:07:24.2901126Z [gw2] [ 67%] PASSED exir/tests/test_tensor.py::TestTensor::test_contiguous_stride_from_shape 2024-06-26T05:07:24.2910485Z exir/tests/test_tensor.py::TestTensor::test_dim_order_from_stride 2024-06-26T05:07:24.2915718Z [gw2] [ 68%] PASSED exir/tests/test_tensor.py::TestTensor::test_dim_order_from_stride 2024-06-26T05:07:24.2929956Z exir/tests/test_tensor.py::TestTensor::test_normal_tensor_conversion 2024-06-26T05:07:24.2932417Z [gw2] [ 68%] PASSED exir/tests/test_tensor.py::TestTensor::test_normal_tensor_conversion 2024-06-26T05:07:24.3272584Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_export_unlift 2024-06-26T05:07:24.3283076Z [gw0] [ 68%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_aot_config 2024-06-26T05:07:24.3284993Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_assume_constant_by_default_prop 2024-06-26T05:07:24.3287810Z [gw3] [ 69%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_dynamic_shape 2024-06-26T05:07:24.3403768Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_dynamo_capture_scalar_outputs 2024-06-26T05:07:24.3409717Z [gw3] [ 69%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_dynamo_capture_scalar_outputs 2024-06-26T05:07:24.3542386Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_dynamo_frontend_container_input 2024-06-26T05:07:24.3547154Z [gw0] [ 69%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_assume_constant_by_default_prop 2024-06-26T05:07:24.3612466Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_copy 2024-06-26T05:07:24.3618751Z [gw2] [ 70%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_export_unlift 2024-06-26T05:07:24.3918570Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_input_container_type 2024-06-26T05:07:24.3921498Z [gw0] [ 70%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_copy 2024-06-26T05:07:24.4208848Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_pt2_mode_with_dynamo_config [W626 05:07:24.028284671 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:24.4215323Z [W626 05:07:24.028321984 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:24.4220992Z [W626 05:07:24.028335411 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:24.4226638Z [W626 05:07:24.028346189 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:24.4232287Z [W626 05:07:24.028367909 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:24.4238216Z [W626 05:07:24.028379685 PyInterpreter.cpp:260] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2024-06-26T05:07:24.4327877Z 2024-06-26T05:07:24.4334188Z [gw0] [ 70%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_pt2_mode_with_dynamo_config 2024-06-26T05:07:24.4695925Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_simple 2024-06-26T05:07:24.4698889Z [gw0] [ 71%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_simple 2024-06-26T05:07:24.5062120Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_stacktrace 2024-06-26T05:07:24.5069361Z [gw2] [ 71%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_input_container_type 2024-06-26T05:07:24.5074101Z [gw0] [ 71%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_stacktrace 2024-06-26T05:07:24.5517391Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_static_control_flow 2024-06-26T05:07:24.5519277Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_multiple_returns_pt2_mode 2024-06-26T05:07:24.5521639Z [gw2] [ 72%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_multiple_returns_pt2_mode 2024-06-26T05:07:24.5837373Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_multiple_returns_spec 2024-06-26T05:07:24.5841675Z [gw0] [ 72%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_static_control_flow 2024-06-26T05:07:24.6025748Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_tensor_spec_for_const_tensors 2024-06-26T05:07:24.6027904Z [gw2] [ 72%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_multiple_returns_spec 2024-06-26T05:07:24.6242130Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_possible_input_mutation 2024-06-26T05:07:24.6248516Z [gw3] [ 72%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_dynamo_frontend_container_input 2024-06-26T05:07:24.6345936Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_embedding_dynamic_shape_0_stock_tensor 2024-06-26T05:07:24.6351828Z [gw2] [ 73%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_possible_input_mutation 2024-06-26T05:07:24.6373976Z kernels/quantized/test/test_out_variants.py::TestOutVariants::test_dequantize_per_tensor_to_out_variant 2024-06-26T05:07:24.6380510Z [gw2] [ 73%] PASSED kernels/quantized/test/test_out_variants.py::TestOutVariants::test_dequantize_per_tensor_to_out_variant 2024-06-26T05:07:24.6397314Z kernels/quantized/test/test_out_variants.py::TestOutVariants::test_mixed_linear_to_out_variant 2024-06-26T05:07:24.6403541Z [gw2] [ 73%] PASSED kernels/quantized/test/test_out_variants.py::TestOutVariants::test_mixed_linear_to_out_variant 2024-06-26T05:07:24.6421208Z kernels/quantized/test/test_out_variants.py::TestOutVariants::test_mixed_mm_to_out_variant 2024-06-26T05:07:24.6426508Z [gw2] [ 74%] PASSED kernels/quantized/test/test_out_variants.py::TestOutVariants::test_mixed_mm_to_out_variant 2024-06-26T05:07:24.6443336Z kernels/quantized/test/test_out_variants.py::TestOutVariants::test_quantize_per_channel_to_out_variant 2024-06-26T05:07:24.6449063Z [gw2] [ 74%] PASSED kernels/quantized/test/test_out_variants.py::TestOutVariants::test_quantize_per_channel_to_out_variant 2024-06-26T05:07:24.6470256Z kernels/quantized/test/test_out_variants.py::TestOutVariants::test_quantize_per_tensor_tensor_to_out_variant 2024-06-26T05:07:24.6475531Z [gw2] [ 74%] PASSED kernels/quantized/test/test_out_variants.py::TestOutVariants::test_quantize_per_tensor_tensor_to_out_variant 2024-06-26T05:07:24.6492841Z kernels/quantized/test/test_out_variants.py::TestOutVariants::test_quantize_per_tensor_to_out_variant 2024-06-26T05:07:24.6497971Z [gw2] [ 75%] PASSED kernels/quantized/test/test_out_variants.py::TestOutVariants::test_quantize_per_tensor_to_out_variant 2024-06-26T05:07:24.6634004Z backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_add_hardtanh 2024-06-26T05:07:24.6639957Z [gw0] [ 75%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_tensor_spec_for_const_tensors 2024-06-26T05:07:24.6649534Z kernels/prim_ops/test/prim_ops_test.py::TestCustomOps::test_add_registered 2024-06-26T05:07:24.6655285Z [gw0] [ 75%] PASSED kernels/prim_ops/test/prim_ops_test.py::TestCustomOps::test_add_registered 2024-06-26T05:07:24.6678829Z kernels/quantized/test/test_out_variants.py::TestOutVariants::test_add_to_out_variant 2024-06-26T05:07:24.6685154Z [gw0] [ 76%] PASSED kernels/quantized/test/test_out_variants.py::TestOutVariants::test_add_to_out_variant 2024-06-26T05:07:24.6699483Z kernels/quantized/test/test_out_variants.py::TestOutVariants::test_choose_qparams_tensor_to_out_variant 2024-06-26T05:07:24.6705441Z [gw0] [ 76%] PASSED kernels/quantized/test/test_out_variants.py::TestOutVariants::test_choose_qparams_tensor_to_out_variant 2024-06-26T05:07:24.6712192Z kernels/quantized/test/test_out_variants.py::TestOutVariants::test_dequantize_per_channel_to_out_variant 2024-06-26T05:07:24.6719650Z [gw3] [ 76%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_embedding_dynamic_shape_0_stock_tensor 2024-06-26T05:07:24.6725364Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_export_cond 2024-06-26T05:07:24.6736618Z [gw0] [ 77%] PASSED kernels/quantized/test/test_out_variants.py::TestOutVariants::test_dequantize_per_channel_to_out_variant 2024-06-26T05:07:24.6756704Z kernels/quantized/test/test_out_variants.py::TestOutVariants::test_dequantize_per_tensor_tensor_to_out_variant 2024-06-26T05:07:24.6761498Z [gw0] [ 77%] PASSED kernels/quantized/test/test_out_variants.py::TestOutVariants::test_dequantize_per_tensor_tensor_to_out_variant 2024-06-26T05:07:24.7568290Z backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_conv_hardtanh 2024-06-26T05:07:24.7578960Z [gw2] [ 77%] PASSED backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_add_hardtanh 2024-06-26T05:07:24.9205237Z backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_add_relu 2024-06-26T05:07:24.9211513Z [gw0] [ 78%] PASSED backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_conv_hardtanh 2024-06-26T05:07:24.9327234Z backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_conv_relu 2024-06-26T05:07:24.9335648Z [gw3] [ 78%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_export_cond 2024-06-26T05:07:25.3979702Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_export_cond_map 2024-06-26T05:07:25.3985391Z [gw2] [ 78%] PASSED backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_add_relu 2024-06-26T05:07:25.4333277Z backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_mul_hardtanh 2024-06-26T05:07:25.4338512Z [gw0] [ 79%] PASSED backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_conv_relu 2024-06-26T05:07:25.5026840Z backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_linear_hardtanh 2024-06-26T05:07:25.5030319Z [gw2] [ 79%] PASSED backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_mul_hardtanh 2024-06-26T05:07:25.5943914Z backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_mul_relu 2024-06-26T05:07:25.5954023Z [gw0] [ 79%] PASSED backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_linear_hardtanh 2024-06-26T05:07:25.9098564Z backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_linear_relu 2024-06-26T05:07:25.9104841Z [gw2] [ 80%] PASSED backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_mul_relu 2024-06-26T05:07:26.0126430Z backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_sub_hardtanh 2024-06-26T05:07:26.0134694Z [gw2] [ 80%] PASSED backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_sub_hardtanh 2024-06-26T05:07:26.1393361Z backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_sub_relu 2024-06-26T05:07:26.1400404Z [gw0] [ 80%] PASSED backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_linear_relu 2024-06-26T05:07:26.1496186Z backends/xnnpack/test/passes/test_batch_norm_fusion.py::TestBatchNormFusion::test_fp32_batch_norm_fusion 2024-06-26T05:07:26.1501468Z [gw3] [ 81%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_export_cond_map 2024-06-26T05:07:26.2328665Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_export_container_input_unlift 2024-06-26T05:07:26.2339512Z [gw3] [ 81%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_export_container_input_unlift 2024-06-26T05:07:26.3000837Z exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_export_container_unlift 2024-06-26T05:07:26.3007935Z [gw2] [ 81%] PASSED backends/xnnpack/test/passes/test_activation_fusion.py::TestActivationFusion::test_activation_fusion_sub_relu 2024-06-26T05:07:26.3291812Z backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py::TestChannelsLastTaggedReshapePass::test_fp32_channels_last_tagged_reshape_pass 2024-06-26T05:07:26.3295463Z [gw3] [ 81%] PASSED exir/tests/test_tracer.py::TestTorchDispatchFXTracer::test_export_container_unlift 2024-06-26T05:07:26.4849286Z backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py::TestChannelsLastTaggedReshapePass::test_qs8_channels_last_tagged_reshape_pass 2024-06-26T05:07:26.4859036Z [gw0] [ 82%] PASSED backends/xnnpack/test/passes/test_batch_norm_fusion.py::TestBatchNormFusion::test_fp32_batch_norm_fusion 2024-06-26T05:07:26.7694870Z backends/xnnpack/test/passes/test_batch_norm_fusion.py::TestBatchNormFusion::test_fp32_batch_norm_no_fusion_doesnt_partition 2024-06-26T05:07:26.7707163Z [gw2] [ 82%] PASSED backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py::TestChannelsLastTaggedReshapePass::test_fp32_channels_last_tagged_reshape_pass 2024-06-26T05:07:27.0904099Z backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py::TestChannelsLastTaggedReshapePass::test_fp32_channels_last_tagged_reshape_pass_conv_bn_hardtanh_mean_seq 2024-06-26T05:07:27.0926165Z [gw2] [ 82%] PASSED backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py::TestChannelsLastTaggedReshapePass::test_fp32_channels_last_tagged_reshape_pass_conv_bn_hardtanh_mean_seq 2024-06-26T05:07:27.2918092Z backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py::TestChannelsLastTaggedReshapePass::test_fp32_channels_last_tagged_reshape_pass_conv_relu 2024-06-26T05:07:27.2925226Z [gw2] [ 83%] PASSED backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py::TestChannelsLastTaggedReshapePass::test_fp32_channels_last_tagged_reshape_pass_conv_relu 2024-06-26T05:07:27.6455504Z backends/xnnpack/test/passes/test_convert_to_linear.py::TestConvertToLinear::test_fp32_convert_to_linear 2024-06-26T05:07:27.6467017Z [gw2] [ 83%] PASSED backends/xnnpack/test/passes/test_convert_to_linear.py::TestConvertToLinear::test_fp32_convert_to_linear 2024-06-26T05:07:27.7384030Z backends/xnnpack/test/passes/test_remove_get_item_pass.py::TestRemoveGetItemPass::test_fp32_max_pool2d_remove_getitem 2024-06-26T05:07:27.7397043Z [gw2] [ 83%] PASSED backends/xnnpack/test/passes/test_remove_get_item_pass.py::TestRemoveGetItemPass::test_fp32_max_pool2d_remove_getitem 2024-06-26T05:07:27.8357625Z backends/xnnpack/test/passes/test_remove_get_item_pass.py::TestRemoveGetItemPass::test_fp32_max_remove_getitem 2024-06-26T05:07:27.8371410Z [gw2] [ 84%] PASSED backends/xnnpack/test/passes/test_remove_get_item_pass.py::TestRemoveGetItemPass::test_fp32_max_remove_getitem 2024-06-26T05:07:28.0108698Z backends/xnnpack/test/passes/test_remove_get_item_pass.py::TestRemoveGetItemPass::test_q8_max_pool2d_remove_getitem 2024-06-26T05:07:28.0120550Z [gw2] [ 84%] PASSED backends/xnnpack/test/passes/test_remove_get_item_pass.py::TestRemoveGetItemPass::test_q8_max_pool2d_remove_getitem 2024-06-26T05:07:28.1828890Z backends/xnnpack/test/passes/test_remove_get_item_pass.py::TestRemoveGetItemPass::test_q8_max_remove_getitem 2024-06-26T05:07:28.1846884Z [gw2] [ 84%] PASSED backends/xnnpack/test/passes/test_remove_get_item_pass.py::TestRemoveGetItemPass::test_q8_max_remove_getitem 2024-06-26T05:07:28.4084247Z backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py::TestTagImplicitQDq::test_tag_implicit_q_dq_test 2024-06-26T05:07:28.4101524Z [gw2] [ 85%] PASSED backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py::TestTagImplicitQDq::test_tag_implicit_q_dq_test 2024-06-26T05:07:28.4429923Z backends/xnnpack/test/serialization/test_serialization.py::TestSerialization::test_serialize_xnnpack_binary 2024-06-26T05:07:28.4447181Z [gw2] [ 85%] PASSED backends/xnnpack/test/serialization/test_serialization.py::TestSerialization::test_serialize_xnnpack_binary 2024-06-26T05:07:28.4462760Z backends/xnnpack/test/serialization/test_xnnheader.py::TestXNNHeader::test_from_bytes 2024-06-26T05:07:28.4476456Z [gw2] [ 85%] PASSED backends/xnnpack/test/serialization/test_xnnheader.py::TestXNNHeader::test_from_bytes 2024-06-26T05:07:28.4490603Z backends/xnnpack/test/serialization/test_xnnheader.py::TestXNNHeader::test_invalid_constant_data_offset 2024-06-26T05:07:28.4502166Z [gw2] [ 86%] PASSED backends/xnnpack/test/serialization/test_xnnheader.py::TestXNNHeader::test_invalid_constant_data_offset 2024-06-26T05:07:28.4515688Z backends/xnnpack/test/serialization/test_xnnheader.py::TestXNNHeader::test_invalid_flatbuffer_size 2024-06-26T05:07:28.4528523Z [gw2] [ 86%] PASSED backends/xnnpack/test/serialization/test_xnnheader.py::TestXNNHeader::test_invalid_flatbuffer_size 2024-06-26T05:07:28.4543951Z backends/xnnpack/test/serialization/test_xnnheader.py::TestXNNHeader::test_invalid_metadata 2024-06-26T05:07:28.4554944Z [gw2] [ 86%] PASSED backends/xnnpack/test/serialization/test_xnnheader.py::TestXNNHeader::test_invalid_metadata 2024-06-26T05:07:28.4566992Z backends/xnnpack/test/serialization/test_xnnheader.py::TestXNNHeader::test_to_bytes 2024-06-26T05:07:28.4579113Z [gw2] [ 87%] PASSED backends/xnnpack/test/serialization/test_xnnheader.py::TestXNNHeader::test_to_bytes 2024-06-26T05:07:28.4591317Z backends/xnnpack/test/serialization/test_xnnheader.py::TestXNNHeader::test_to_bytes_same_as_from_bytes 2024-06-26T05:07:28.4605794Z [gw2] [ 87%] PASSED backends/xnnpack/test/serialization/test_xnnheader.py::TestXNNHeader::test_to_bytes_same_as_from_bytes 2024-06-26T05:07:28.5631999Z extension/pybindings/test/test_pybindings.py::PybindingsTest::test I 00:00:16.897340 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:07:28.5973072Z 2024-06-26T05:07:28.5990230Z [gw3] [ 87%] PASSED backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py::TestChannelsLastTaggedReshapePass::test_qs8_channels_last_tagged_reshape_pass 2024-06-26T05:07:28.8265884Z backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py::TestChannelsLastTaggedReshapePass::test_qs8_channels_last_tagged_reshape_pass_conv_relu I 00:00:17.160394 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:07:28.9545095Z 2024-06-26T05:07:28.9557614Z [gw0] [ 88%] PASSED backends/xnnpack/test/passes/test_batch_norm_fusion.py::TestBatchNormFusion::test_fp32_batch_norm_no_fusion_doesnt_partition 2024-06-26T05:07:29.0662743Z backends/xnnpack/test/passes/test_batch_norm_fusion.py::TestBatchNormFusion::test_q8_batch_norm_fusion I 00:00:17.400354 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:07:29.0675930Z 2024-06-26T05:07:29.0689695Z [gw3] [ 88%] PASSED backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py::TestChannelsLastTaggedReshapePass::test_qs8_channels_last_tagged_reshape_pass_conv_relu 2024-06-26T05:07:29.0705591Z test/end2end/test_end2end.py::E2ETest::test_containers 2024-06-26T05:07:29.0716100Z [gw3] [ 88%] SKIPPED test/end2end/test_end2end.py::E2ETest::test_containers 2024-06-26T05:07:29.2057823Z test/end2end/test_end2end.py::E2ETest::test_executorch_forward I 00:00:17.539857 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:07:29.2504862Z I 00:00:17.572766 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:07:29.2522193Z 2024-06-26T05:07:29.2537163Z [gw3] [ 89%] PASSED test/end2end/test_end2end.py::E2ETest::test_executorch_forward 2024-06-26T05:07:29.3144764Z test/end2end/test_end2end.py::E2ETest::test_mem_planning_scratch_tensor I 00:00:17.648559 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:07:29.4313866Z I 00:00:17.765552 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:07:29.4316319Z E 00:00:17.765614 executorch:method.cpp:917] The length of given input array (3) must be same as the number of inputs in method (2). 2024-06-26T05:07:29.4325161Z 2024-06-26T05:07:29.4337197Z [gw2] [ 89%] PASSED extension/pybindings/test/test_pybindings.py::PybindingsTest::test 2024-06-26T05:07:29.4766889Z test/end2end/test_end2end.py::E2ETest::test_basic 2024-06-26T05:07:29.4777862Z [gw3] [ 89%] PASSED test/end2end/test_end2end.py::E2ETest::test_mem_planning_scratch_tensor 2024-06-26T05:07:29.4788124Z test/end2end/test_end2end.py::E2ETest::test_mem_planning_toy_model 2024-06-26T05:07:29.4797641Z [gw3] [ 90%] SKIPPED test/end2end/test_end2end.py::E2ETest::test_mem_planning_toy_model 2024-06-26T05:07:29.5760128Z test/end2end/test_end2end.py::E2ETest::test_ops_return_tensorlist 2024-06-26T05:07:29.5772706Z [gw2] [ 90%] PASSED test/end2end/test_end2end.py::E2ETest::test_basic 2024-06-26T05:07:29.5958799Z test/end2end/test_end2end.py::E2ETest::test_ops_return_multi 2024-06-26T05:07:29.5969054Z [gw3] [ 90%] PASSED test/end2end/test_end2end.py::E2ETest::test_ops_return_tensorlist 2024-06-26T05:07:29.5979748Z test/end2end/test_end2end.py::DynamicModelE2ETest::test_batch_norm 2024-06-26T05:07:29.5989697Z [gw3] [ 90%] SKIPPED test/end2end/test_end2end.py::DynamicModelE2ETest::test_batch_norm 2024-06-26T05:07:29.5998590Z test/end2end/test_end2end.py::DynamicModelE2ETest::test_ft_cond_dynshape 2024-06-26T05:07:29.6007261Z [gw3] [ 91%] SKIPPED test/end2end/test_end2end.py::DynamicModelE2ETest::test_ft_cond_dynshape 2024-06-26T05:07:29.6016453Z test/end2end/test_end2end.py::DynamicModelE2ETest::test_ft_map_basic 2024-06-26T05:07:29.6025191Z [gw3] [ 91%] SKIPPED test/end2end/test_end2end.py::DynamicModelE2ETest::test_ft_map_basic 2024-06-26T05:07:29.6034819Z test/end2end/test_end2end.py::DynamicModelE2ETest::test_ft_map_dynshape 2024-06-26T05:07:29.6044177Z [gw3] [ 91%] SKIPPED test/end2end/test_end2end.py::DynamicModelE2ETest::test_ft_map_dynshape 2024-06-26T05:07:29.6055150Z test/end2end/test_end2end.py::DynamicModelE2ETest::test_intermediate_dynamic_shape 2024-06-26T05:07:29.6065033Z [gw3] [ 92%] SKIPPED test/end2end/test_end2end.py::DynamicModelE2ETest::test_intermediate_dynamic_shape 2024-06-26T05:07:29.6073769Z test/end2end/test_end2end.py::DynamicModelE2ETest::test_transformer_encode 2024-06-26T05:07:29.7560836Z [gw3] [ 92%] SKIPPED test/end2end/test_end2end.py::DynamicModelE2ETest::test_transformer_encode 2024-06-26T05:07:29.7570984Z [gw2] [ 92%] PASSED test/end2end/test_end2end.py::E2ETest::test_ops_return_multi 2024-06-26T05:07:29.7583050Z test/end2end/test_end2end.py::DynamicModelE2ETest::test_ft_cond_basic 2024-06-26T05:07:31.3479796Z [gw2] [ 93%] SKIPPED test/end2end/test_end2end.py::DynamicModelE2ETest::test_ft_cond_basic I 00:00:19.675106 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:07:38.1564951Z 2024-06-26T05:07:38.1577514Z [gw0] [ 93%] PASSED backends/xnnpack/test/passes/test_batch_norm_fusion.py::TestBatchNormFusion::test_q8_batch_norm_fusion 2024-06-26T05:07:38.1591071Z test/end2end/test_end2end.py::E2ETest::test_contiguous_tensor 2024-06-26T05:09:22.2540385Z [gw0] [ 93%] SKIPPED test/end2end/test_end2end.py::E2ETest::test_contiguous_tensor 2024-06-26T05:09:22.2568132Z [gw1] [ 94%] PASSED examples/portable/test/test_export.py::ExportTest::test_dl3_export_to_executorch 2024-06-26T05:09:41.8604548Z examples/portable/test/test_export.py::ExportTest::test_ic3_export_to_executorch I 00:02:30.187687 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:09:51.6788839Z 2024-06-26T05:09:51.6793423Z [gw1] [ 94%] PASSED examples/portable/test/test_export.py::ExportTest::test_ic3_export_to_executorch 2024-06-26T05:10:01.3577845Z examples/portable/test/test_export.py::ExportTest::test_mv2_export_to_executorch I 00:02:49.684999 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:10:02.9803917Z 2024-06-26T05:10:02.9807785Z [gw1] [ 94%] PASSED examples/portable/test/test_export.py::ExportTest::test_mv2_export_to_executorch 2024-06-26T05:10:12.4391715Z examples/portable/test/test_export.py::ExportTest::test_mv3_export_to_executorch I 00:03:00.766363 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:10:12.8089837Z 2024-06-26T05:10:12.8094940Z [gw1] [ 95%] PASSED examples/portable/test/test_export.py::ExportTest::test_mv3_export_to_executorch 2024-06-26T05:10:17.4103776Z examples/portable/test/test_export.py::ExportTest::test_resnet18_export_to_executorch I 00:03:05.737540 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:10:22.4486849Z 2024-06-26T05:10:22.4490661Z [gw1] [ 95%] PASSED examples/portable/test/test_export.py::ExportTest::test_resnet18_export_to_executorch 2024-06-26T05:10:33.3300831Z examples/portable/test/test_export.py::ExportTest::test_resnet50_export_to_executorch I 00:03:21.657184 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:10:50.3869448Z 2024-06-26T05:10:50.3874438Z [gw1] [ 95%] PASSED examples/portable/test/test_export.py::ExportTest::test_resnet50_export_to_executorch 2024-06-26T05:11:05.0664115Z examples/portable/test/test_export.py::ExportTest::test_vit_export_to_executorch I 00:03:53.393594 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:11:57.6378656Z 2024-06-26T05:11:57.6384062Z [gw1] [ 96%] PASSED examples/portable/test/test_export.py::ExportTest::test_vit_export_to_executorch 2024-06-26T05:11:59.1006265Z examples/portable/test/test_export.py::ExportTest::test_w2l_export_to_executorch I 00:04:47.427767 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:12:01.6781229Z 2024-06-26T05:12:01.6787671Z [gw1] [ 96%] PASSED examples/portable/test/test_export.py::ExportTest::test_w2l_export_to_executorch 2024-06-26T05:12:01.6796065Z sdk/bundled_program/schema/test/test_schema.py::TestSchema::test_schema_sync 2024-06-26T05:12:01.6802931Z [gw1] [ 96%] PASSED sdk/bundled_program/schema/test/test_schema.py::TestSchema::test_schema_sync 2024-06-26T05:12:02.0302036Z sdk/bundled_program/serialize/test/test_serialize.py::TestSerialize::test_bundled_program_serialization 2024-06-26T05:12:02.0308300Z [gw1] [ 97%] PASSED sdk/bundled_program/serialize/test/test_serialize.py::TestSerialize::test_bundled_program_serialization 2024-06-26T05:12:02.2779153Z sdk/bundled_program/test/test_bundle_data.py::TestBundle::test_bundle_wrong_input_type 2024-06-26T05:12:02.2791762Z [gw1] [ 97%] PASSED sdk/bundled_program/test/test_bundle_data.py::TestBundle::test_bundle_wrong_input_type 2024-06-26T05:12:02.5234788Z sdk/bundled_program/test/test_bundle_data.py::TestBundle::test_bundle_wrong_output_type 2024-06-26T05:12:02.5238533Z [gw1] [ 97%] PASSED sdk/bundled_program/test/test_bundle_data.py::TestBundle::test_bundle_wrong_output_type 2024-06-26T05:12:02.7679239Z sdk/bundled_program/test/test_bundle_data.py::TestBundle::test_bundled_miss_methods 2024-06-26T05:12:02.7682374Z [gw1] [ 98%] PASSED sdk/bundled_program/test/test_bundle_data.py::TestBundle::test_bundled_miss_methods 2024-06-26T05:12:03.0771609Z sdk/bundled_program/test/test_bundle_data.py::TestBundle::test_bundled_program 2024-06-26T05:12:03.0774022Z [gw1] [ 98%] PASSED sdk/bundled_program/test/test_bundle_data.py::TestBundle::test_bundled_program 2024-06-26T05:12:03.3231897Z sdk/bundled_program/test/test_bundle_data.py::TestBundle::test_bundled_wrong_method_name 2024-06-26T05:12:03.3236459Z [gw1] [ 98%] PASSED sdk/bundled_program/test/test_bundle_data.py::TestBundle::test_bundled_wrong_method_name 2024-06-26T05:12:03.3279631Z sdk/bundled_program/test/test_config.py::TestConfig::test_create_test_suites 2024-06-26T05:12:03.3284228Z [gw1] [ 99%] PASSED sdk/bundled_program/test/test_config.py::TestConfig::test_create_test_suites 2024-06-26T05:12:03.3308024Z sdk/bundled_program/test/test_config.py::TestConfig::test_create_test_suites_from_eager_model 2024-06-26T05:12:03.3313330Z [gw1] [ 99%] PASSED sdk/bundled_program/test/test_config.py::TestConfig::test_create_test_suites_from_eager_model 2024-06-26T05:12:03.6423373Z sdk/bundled_program/test/test_end2end.py::BundledProgramE2ETest::test_sample_model_e2e I 00:04:51.969563 executorch:program.cpp:130] InternalConsistency verification requested but not available 2024-06-26T05:12:03.6432770Z 2024-06-26T05:12:03.6439973Z [gw1] [ 99%] PASSED sdk/bundled_program/test/test_end2end.py::BundledProgramE2ETest::test_sample_model_e2e 2024-06-26T05:12:03.7055984Z sdk/etdump/tests/serialize_test.py::TestSerializeFlatCC::test_serialize 2024-06-26T05:12:05.5159250Z [gw1] [100%] PASSED sdk/etdump/tests/serialize_test.py::TestSerializeFlatCC::test_serialize 2024-06-26T05:12:05.5163670Z 2024-06-26T05:12:05.5164901Z ================= 298 passed, 13 skipped in 297.61s (0:04:57) ================== 2024-06-26T05:12:05.5797046Z + LLVM_PROFDATA=llvm-profdata-12 2024-06-26T05:12:05.5797607Z + LLVM_COV=llvm-cov-12 2024-06-26T05:12:05.5798271Z + bash test/run_oss_cpp_tests.sh 2024-06-26T05:12:05.5826162Z ++ uname 2024-06-26T05:12:05.5833124Z + [[ Linux == \D\a\r\w\i\n ]] 2024-06-26T05:12:05.5835150Z ++ uname 2024-06-26T05:12:05.5842480Z + [[ Linux == \L\i\n\u\x ]] 2024-06-26T05:12:05.5843121Z + export LLVM_PROFDATA=llvm-profdata-12 2024-06-26T05:12:05.5843994Z + LLVM_PROFDATA=llvm-profdata-12 2024-06-26T05:12:05.5844445Z + export LLVM_COV=llvm-cov-12 2024-06-26T05:12:05.5844876Z + LLVM_COV=llvm-cov-12 2024-06-26T05:12:05.5845423Z + build_executorch 2024-06-26T05:12:05.5845972Z + BUILD_VULKAN=OFF 2024-06-26T05:12:05.5849795Z ++ command -v glslc 2024-06-26T05:12:05.5850799Z + '[' -x '' ']' 2024-06-26T05:12:05.5853448Z + cmake . -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON -DEXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL=ON -DEXECUTORCH_BUILD_SDK=ON -DEXECUTORCH_BUILD_VULKAN=OFF -DEXECUTORCH_BUILD_XNNPACK=ON -Bcmake-out 2024-06-26T05:12:05.6065664Z -- Using python executable 'python' 2024-06-26T05:12:05.6824497Z -- Resolved buck2 as buck2. 2024-06-26T05:12:05.6825005Z -- Killing buck2 daemon 2024-06-26T05:12:05.6830775Z -- executorch: Generating source lists 2024-06-26T05:12:05.6831564Z -- executorch: Using source file list /executorch/cmake-out/executorch_srcs.cmake 2024-06-26T05:12:05.6832460Z -- executorch: Using sources file /executorch/cmake-out/executorch_srcs.cmake 2024-06-26T05:12:05.6864712Z -- Proceeding with version: 24.3.25.0 2024-06-26T05:12:05.6871850Z -- CMAKE_CXX_FLAGS: -fprofile-instr-generate -fcoverage-mapping 2024-06-26T05:12:05.6885564Z -- executorch: Using PAL default 'posix' 2024-06-26T05:12:05.6905538Z -- Generating operator lib: 2024-06-26T05:12:05.6906027Z -- LIB_NAME: portable_ops_lib 2024-06-26T05:12:05.6906725Z -- OPS_SCHEMA_YAML: /executorch/kernels/portable/functions.yaml 2024-06-26T05:12:05.6907410Z -- ROOT_OPS: 2024-06-26T05:12:05.6907885Z -- INCLUDE_ALL_OPS: 2024-06-26T05:12:05.6909410Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/executorch/cmake-out/kernels/portable/portable_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/executorch/kernels/portable/functions.yaml" 2024-06-26T05:12:05.6911138Z -- Generating kernel bindings: 2024-06-26T05:12:05.6911534Z -- LIB_NAME: portable_ops_lib 2024-06-26T05:12:05.6912087Z -- FUNCTIONS_YAML: /executorch/kernels/portable/functions.yaml 2024-06-26T05:12:05.6912635Z -- CUSTOM_OPS_YAML: 2024-06-26T05:12:05.8164554Z Generated files /executorch/cmake-out/kernels/portable/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/executorch/cmake-out/kernels/portable/portable_ops_lib/Functions.h;/executorch/cmake-out/kernels/portable/portable_ops_lib/NativeFunctions.h 2024-06-26T05:12:05.8168033Z -- Generating operator lib: 2024-06-26T05:12:05.8168492Z -- LIB_NAME: portable_ops_lib 2024-06-26T05:12:05.8168970Z -- KERNEL_LIBS: portable_kernels 2024-06-26T05:12:05.8169375Z -- DEPS: executorch 2024-06-26T05:12:05.8184242Z -- Generating operator lib: 2024-06-26T05:12:05.8184673Z -- LIB_NAME: optimized_ops_lib 2024-06-26T05:12:05.8185343Z -- OPS_SCHEMA_YAML: /executorch/kernels/optimized/optimized-oss.yaml 2024-06-26T05:12:05.8186097Z -- ROOT_OPS: 2024-06-26T05:12:05.8186567Z -- INCLUDE_ALL_OPS: 2024-06-26T05:12:05.8188240Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/executorch/cmake-out/kernels/optimized/optimized_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/executorch/kernels/optimized/optimized-oss.yaml" 2024-06-26T05:12:05.8189786Z -- Generating kernel bindings: 2024-06-26T05:12:05.8190201Z -- LIB_NAME: optimized_ops_lib 2024-06-26T05:12:05.8190847Z -- FUNCTIONS_YAML: /executorch/kernels/optimized/optimized-oss.yaml 2024-06-26T05:12:05.8191488Z -- CUSTOM_OPS_YAML: 2024-06-26T05:12:05.9458453Z Generated files /executorch/cmake-out/kernels/optimized/optimized_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/executorch/cmake-out/kernels/optimized/optimized_ops_lib/Functions.h;/executorch/cmake-out/kernels/optimized/optimized_ops_lib/NativeFunctions.h 2024-06-26T05:12:05.9460618Z -- Generating operator lib: 2024-06-26T05:12:05.9461031Z -- LIB_NAME: optimized_ops_lib 2024-06-26T05:12:05.9461514Z -- KERNEL_LIBS: optimized_kernels 2024-06-26T05:12:05.9461927Z -- DEPS: executorch 2024-06-26T05:12:05.9472414Z -- Generating operator lib: 2024-06-26T05:12:05.9473021Z -- LIB_NAME: quantized_ops_lib 2024-06-26T05:12:05.9475416Z -- OPS_SCHEMA_YAML: /executorch/kernels/quantized/quantized.yaml 2024-06-26T05:12:05.9476627Z -- ROOT_OPS: 2024-06-26T05:12:05.9477293Z -- INCLUDE_ALL_OPS: 2024-06-26T05:12:05.9479073Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/executorch/cmake-out/kernels/quantized/quantized_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/executorch/kernels/quantized/quantized.yaml" 2024-06-26T05:12:05.9480502Z -- Generating kernel bindings: 2024-06-26T05:12:05.9480895Z -- LIB_NAME: quantized_ops_lib 2024-06-26T05:12:05.9481301Z -- FUNCTIONS_YAML: 2024-06-26T05:12:05.9481803Z -- CUSTOM_OPS_YAML: /executorch/kernels/quantized/quantized.yaml 2024-06-26T05:12:06.0744229Z Generated files /executorch/cmake-out/kernels/quantized/quantized_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/executorch/cmake-out/kernels/quantized/quantized_ops_lib/Functions.h;/executorch/cmake-out/kernels/quantized/quantized_ops_lib/NativeFunctions.h;/executorch/cmake-out/kernels/quantized/quantized_ops_lib/RegisterCPUCustomOps.cpp;/executorch/cmake-out/kernels/quantized/quantized_ops_lib/RegisterSchema.cpp;/executorch/cmake-out/kernels/quantized/quantized_ops_lib/CustomOpsNativeFunctions.h 2024-06-26T05:12:06.0747629Z -- Generating operator lib: 2024-06-26T05:12:06.0748030Z -- LIB_NAME: quantized_ops_lib 2024-06-26T05:12:06.0748449Z -- KERNEL_LIBS: quantized_kernels 2024-06-26T05:12:06.0748845Z -- DEPS: executorch 2024-06-26T05:12:06.0756331Z -- Merging kernel yaml files: 2024-06-26T05:12:06.0757385Z -- FUNCTIONS_YAML: /executorch/configurations/../kernels/optimized/optimized-oss.yaml 2024-06-26T05:12:06.0759232Z -- FALLBACK_YAML: /executorch/configurations/../kernels/portable/functions.yaml 2024-06-26T05:12:06.0760374Z -- OUTPUT_DIR: /executorch/cmake-out/configurations 2024-06-26T05:12:06.0761111Z -- Generating operator lib: 2024-06-26T05:12:06.0761929Z -- LIB_NAME: optimized_native_cpu_ops_lib 2024-06-26T05:12:06.0763132Z -- OPS_SCHEMA_YAML: /executorch/cmake-out/configurations/merged.yaml 2024-06-26T05:12:06.0763763Z -- ROOT_OPS: 2024-06-26T05:12:06.0764074Z -- INCLUDE_ALL_OPS: 2024-06-26T05:12:06.0765557Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/executorch/cmake-out/configurations/optimized_native_cpu_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/executorch/cmake-out/configurations/merged.yaml" 2024-06-26T05:12:06.0767004Z -- Generating kernel bindings: 2024-06-26T05:12:06.0767442Z -- LIB_NAME: optimized_native_cpu_ops_lib 2024-06-26T05:12:06.0768076Z -- FUNCTIONS_YAML: /executorch/cmake-out/configurations/merged.yaml 2024-06-26T05:12:06.0768641Z -- CUSTOM_OPS_YAML: 2024-06-26T05:12:06.2027587Z Generated files /executorch/cmake-out/configurations/optimized_native_cpu_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/executorch/cmake-out/configurations/optimized_native_cpu_ops_lib/Functions.h;/executorch/cmake-out/configurations/optimized_native_cpu_ops_lib/NativeFunctions.h 2024-06-26T05:12:06.2029626Z -- Generating operator lib: 2024-06-26T05:12:06.2030060Z -- LIB_NAME: optimized_native_cpu_ops_lib 2024-06-26T05:12:06.2030620Z -- KERNEL_LIBS: portable_kernels;optimized_kernels 2024-06-26T05:12:06.2031103Z -- DEPS: executorch 2024-06-26T05:12:06.2104966Z -- dist install dir /executorch/third-party/flatcc 2024-06-26T05:12:06.2105601Z -- lib install dir /executorch/third-party/flatcc/lib 2024-06-26T05:12:06.2106133Z -- Setting Clang compiler options 2024-06-26T05:12:06.2107438Z -- Configured C_FLAGS: -fprofile-instr-generate -fcoverage-mapping -DFLATCC_REFLECTION=0 -Wstrict-prototypes -Wsign-conversion -Wconversion -std=c11 -pedantic -Wall -Wextra -Werror 2024-06-26T05:12:06.3039659Z -- The ASM compiler identification is Clang with GNU-like command-line 2024-06-26T05:12:06.3054094Z -- Found assembler: /opt/cache/bin/cc 2024-06-26T05:12:06.3083318Z -- Downloading FP16 to /executorch/cmake-out/FP16-source (define FP16_SOURCE_DIR to avoid it) 2024-06-26T05:12:06.3307230Z -- Configuring done 2024-06-26T05:12:06.3325005Z -- Generating done 2024-06-26T05:12:06.3337251Z -- Build files have been written to: /executorch/cmake-out/FP16-download 2024-06-26T05:12:06.3629337Z [ 11%] Creating directories for 'fp16' 2024-06-26T05:12:06.3998140Z [ 22%] Performing download step (download, verify and extract) for 'fp16' 2024-06-26T05:12:06.4045498Z -- Downloading... 2024-06-26T05:12:06.4046358Z dst='/executorch/cmake-out/FP16-download/fp16-prefix/src/0a92994d729ff76a58f692d3028ca1b64b145d91.zip' 2024-06-26T05:12:06.4047141Z timeout='none' 2024-06-26T05:12:06.4047497Z inactivity timeout='none' 2024-06-26T05:12:06.4048329Z -- Using src='https://github.com/Maratyszcza/FP16/archive/0a92994d729ff76a58f692d3028ca1b64b145d91.zip' 2024-06-26T05:12:06.5130964Z -- [download 14% complete] 2024-06-26T05:12:06.5136167Z -- [download 32% complete] 2024-06-26T05:12:06.5136601Z -- [download 44% complete] 2024-06-26T05:12:06.5141362Z -- [download 47% complete] 2024-06-26T05:12:06.5143869Z -- [download 65% complete] 2024-06-26T05:12:06.5144701Z -- [download 83% complete] 2024-06-26T05:12:06.5145689Z -- [download 100% complete] 2024-06-26T05:12:06.5149984Z -- verifying file... 2024-06-26T05:12:06.5150807Z file='/executorch/cmake-out/FP16-download/fp16-prefix/src/0a92994d729ff76a58f692d3028ca1b64b145d91.zip' 2024-06-26T05:12:06.5153415Z -- Downloading... done 2024-06-26T05:12:06.5273459Z -- extracting... 2024-06-26T05:12:06.5274696Z src='/executorch/cmake-out/FP16-download/fp16-prefix/src/0a92994d729ff76a58f692d3028ca1b64b145d91.zip' 2024-06-26T05:12:06.5275565Z dst='/executorch/cmake-out/FP16-source' 2024-06-26T05:12:06.5276274Z -- extracting... [tar xfz] 2024-06-26T05:12:06.5359239Z -- extracting... [analysis] 2024-06-26T05:12:06.5359982Z -- extracting... [rename] 2024-06-26T05:12:06.5360661Z -- extracting... [clean up] 2024-06-26T05:12:06.5361362Z -- extracting... done 2024-06-26T05:12:06.5466568Z [ 33%] No update step for 'fp16' 2024-06-26T05:12:06.5600982Z [ 44%] No patch step for 'fp16' 2024-06-26T05:12:06.5736085Z [ 55%] No configure step for 'fp16' 2024-06-26T05:12:06.5877007Z [ 66%] No build step for 'fp16' 2024-06-26T05:12:06.6018239Z [ 77%] No install step for 'fp16' 2024-06-26T05:12:06.6158271Z [ 88%] No test step for 'fp16' 2024-06-26T05:12:06.6296911Z [100%] Completed 'fp16' 2024-06-26T05:12:06.6548610Z [100%] Built target fp16 2024-06-26T05:12:06.7011853Z -- Downloading PSimd to /executorch/cmake-out/psimd-source (define PSIMD_SOURCE_DIR to avoid it) 2024-06-26T05:12:06.7310528Z -- Configuring done 2024-06-26T05:12:06.7328190Z -- Generating done 2024-06-26T05:12:06.7341584Z -- Build files have been written to: /executorch/cmake-out/psimd-download 2024-06-26T05:12:06.7641299Z [ 11%] Creating directories for 'psimd' 2024-06-26T05:12:06.8026839Z [ 22%] Performing download step (git clone) for 'psimd' 2024-06-26T05:12:06.8131294Z Cloning into 'psimd-source'... 2024-06-26T05:12:06.9228444Z Already on 'master' 2024-06-26T05:12:06.9228957Z Your branch is up to date with 'origin/master'. 2024-06-26T05:12:06.9574292Z [ 33%] Performing update step for 'psimd' 2024-06-26T05:12:07.0395601Z HEAD is now at 072586a Fix psimd_qfma_f32 for FMA-enabled x86 processors 2024-06-26T05:12:07.0645555Z [ 44%] No patch step for 'psimd' 2024-06-26T05:12:07.0785290Z [ 55%] No configure step for 'psimd' 2024-06-26T05:12:07.0929886Z [ 66%] No build step for 'psimd' 2024-06-26T05:12:07.1073445Z [ 77%] No install step for 'psimd' 2024-06-26T05:12:07.1214945Z [ 88%] No test step for 'psimd' 2024-06-26T05:12:07.1355030Z [100%] Completed 'psimd' 2024-06-26T05:12:07.1606837Z [100%] Built target psimd 2024-06-26T05:12:07.1715364Z -- 2024-06-26T05:12:07.1715919Z -- ******** Summary ******** 2024-06-26T05:12:07.1716720Z -- CMAKE_BUILD_TYPE : Release 2024-06-26T05:12:07.1717582Z -- CMAKE_CXX_STANDARD : 17 2024-06-26T05:12:07.1719085Z -- CMAKE_CXX_COMPILER_ID : Clang 2024-06-26T05:12:07.1719896Z -- CMAKE_TOOLCHAIN_FILE : 2024-06-26T05:12:07.1720685Z -- BUCK2 : buck2 2024-06-26T05:12:07.1721887Z -- PYTHON_EXECUTABLE : python 2024-06-26T05:12:07.1722755Z -- FLATC_EXECUTABLE : flatc 2024-06-26T05:12:07.1723640Z -- EXECUTORCH_ENABLE_LOGGING : OFF 2024-06-26T05:12:07.1724593Z -- EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF 2024-06-26T05:12:07.1725568Z -- EXECUTORCH_LOG_LEVEL : Info 2024-06-26T05:12:07.1726523Z -- EXECUTORCH_BUILD_ANDROID_JNI : OFF 2024-06-26T05:12:07.1727474Z -- EXECUTORCH_BUILD_ARM_BAREMETAL : OFF 2024-06-26T05:12:07.1728433Z -- EXECUTORCH_BUILD_COREML : OFF 2024-06-26T05:12:07.1729222Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM : OFF 2024-06-26T05:12:07.1730125Z -- EXECUTORCH_BUILD_EXECUTOR_RUNNER : ON 2024-06-26T05:12:07.1731064Z -- EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : ON 2024-06-26T05:12:07.1731977Z -- EXECUTORCH_BUILD_EXTENSION_MODULE : ON 2024-06-26T05:12:07.1732930Z -- EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : ON 2024-06-26T05:12:07.1733943Z -- EXECUTORCH_BUILD_FLATC : ON 2024-06-26T05:12:07.1734765Z -- EXECUTORCH_BUILD_GFLAGS : ON 2024-06-26T05:12:07.1735634Z -- EXECUTORCH_BUILD_GTESTS : OFF 2024-06-26T05:12:07.1736531Z -- EXECUTORCH_BUILD_HOST_TARGETS : ON 2024-06-26T05:12:07.1737416Z -- EXECUTORCH_BUILD_MPS : OFF 2024-06-26T05:12:07.1738265Z -- EXECUTORCH_BUILD_PYBIND : OFF 2024-06-26T05:12:07.1739129Z -- EXECUTORCH_BUILD_QNN : OFF 2024-06-26T05:12:07.1740099Z -- EXECUTORCH_BUILD_KERNELS_OPTIMIZED : ON 2024-06-26T05:12:07.1741278Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED : ON 2024-06-26T05:12:07.1742199Z -- EXECUTORCH_BUILD_SDK : ON 2024-06-26T05:12:07.1743097Z -- EXECUTORCH_BUILD_SIZE_TEST : OFF 2024-06-26T05:12:07.1744026Z -- EXECUTORCH_BUILD_XNNPACK : ON 2024-06-26T05:12:07.1744922Z -- EXECUTORCH_BUILD_VULKAN : OFF 2024-06-26T05:12:07.1745838Z -- EXECUTORCH_BUILD_PTHREADPOOL : ON 2024-06-26T05:12:07.1746732Z -- EXECUTORCH_BUILD_CPUINFO : ON 2024-06-26T05:12:07.1747511Z -- Configuring done 2024-06-26T05:12:08.1176717Z -- Generating done 2024-06-26T05:12:08.1267360Z -- Build files have been written to: /executorch/cmake-out 2024-06-26T05:12:08.1497886Z + cmake --build cmake-out -j9 --target install 2024-06-26T05:12:08.1781192Z Consolidate compiler generated dependencies of target gflags_nothreads_static 2024-06-26T05:12:08.1807110Z Consolidate compiler generated dependencies of target cpuinfo 2024-06-26T05:12:08.1858131Z [ 0%] Building CXX object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/single.cpp.o 2024-06-26T05:12:08.1873421Z Consolidate compiler generated dependencies of target cpuinfo_internals 2024-06-26T05:12:08.1891139Z Consolidate compiler generated dependencies of target pthreadpool 2024-06-26T05:12:08.1919493Z [ 0%] Creating directories for 'flatcc_project' 2024-06-26T05:12:08.1976945Z Consolidate compiler generated dependencies of target flatc 2024-06-26T05:12:08.2015973Z [ 0%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags.cc.o 2024-06-26T05:12:08.2049084Z [ 1%] Built target cpuinfo 2024-06-26T05:12:08.2183512Z [ 1%] Building C object third-party/flatcc/src/compiler/CMakeFiles/flatcc.dir/__/__/external/hash/str_set.c.o 2024-06-26T05:12:08.2266617Z [ 1%] Built target cpuinfo_internals 2024-06-26T05:12:08.2301179Z [ 1%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_reporting.cc.o 2024-06-26T05:12:08.2313762Z [ 1%] Built target pthreadpool 2024-06-26T05:12:08.2326318Z [ 1%] Building C object third-party/flatcc/src/runtime/CMakeFiles/flatccrt.dir/builder.c.o 2024-06-26T05:12:08.2455907Z [ 1%] Building C object third-party/flatcc/src/runtime/CMakeFiles/flatccrt.dir/emitter.c.o 2024-06-26T05:12:08.2472007Z [ 1%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_completions.cc.o 2024-06-26T05:12:08.2761132Z [ 2%] Building CXX object third-party/flatbuffers/CMakeFiles/flatc.dir/src/idl_parser.cpp.o 2024-06-26T05:12:08.2772387Z [ 2%] No download step for 'flatcc_project' 2024-06-26T05:12:08.3139517Z [ 2%] No update step for 'flatcc_project' 2024-06-26T05:12:08.3344078Z [ 2%] No patch step for 'flatcc_project' 2024-06-26T05:12:08.3415818Z [ 2%] Building C object third-party/flatcc/src/compiler/CMakeFiles/flatcc.dir/__/__/external/hash/ptr_set.c.o 2024-06-26T05:12:08.3584354Z [ 2%] Performing configure step for 'flatcc_project' 2024-06-26T05:12:08.3649474Z [ 2%] Building C object third-party/flatcc/src/compiler/CMakeFiles/flatcc.dir/hash_tables/symbol_table.c.o 2024-06-26T05:12:08.3707671Z loading initial cache file /executorch/cmake-out/_host_build/tmp/flatcc_project-cache-Release.cmake 2024-06-26T05:12:08.3799244Z [ 2%] Building C object third-party/flatcc/src/runtime/CMakeFiles/flatccrt.dir/refmap.c.o 2024-06-26T05:12:08.4387720Z [ 2%] Building C object third-party/flatcc/src/runtime/CMakeFiles/flatccrt.dir/verifier.c.o 2024-06-26T05:12:08.4475981Z [ 2%] Building C object third-party/flatcc/src/runtime/CMakeFiles/flatccrt.dir/json_parser.c.o 2024-06-26T05:12:08.4612670Z [ 2%] Building C object third-party/flatcc/src/compiler/CMakeFiles/flatcc.dir/hash_tables/scope_table.c.o 2024-06-26T05:12:08.4625080Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:12:08.4703408Z -- Detecting C compiler ABI info 2024-06-26T05:12:08.4787450Z [ 2%] Linking CXX static library libgflags_nothreads.a 2024-06-26T05:12:08.5069899Z [ 2%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernel-utils.dir/src/microkernel-utils.c.o 2024-06-26T05:12:08.5200363Z [ 2%] Built target gflags_nothreads_static 2024-06-26T05:12:08.5273432Z [ 2%] Building C object third-party/flatcc/src/runtime/CMakeFiles/flatccrt.dir/json_printer.c.o 2024-06-26T05:12:08.5541052Z [ 2%] Building C object 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Clang 12.0.1 2024-06-26T05:13:56.3010970Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:13:56.3073120Z -- Detecting C compiler ABI info 2024-06-26T05:13:56.4180743Z -- Detecting C compiler ABI info - done 2024-06-26T05:13:56.4247993Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:13:56.4250916Z -- Detecting C compile features 2024-06-26T05:13:56.4255730Z -- Detecting C compile features - done 2024-06-26T05:13:56.4292961Z -- Detecting CXX compiler ABI info 2024-06-26T05:13:56.5661092Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:13:56.5734008Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:13:56.5736940Z -- Detecting CXX compile features 2024-06-26T05:13:56.5743240Z -- Detecting CXX compile features - done 2024-06-26T05:13:56.8860692Z -- Found Python: /opt/conda/envs/py_3.10/bin/python3.10 (found version "3.10.14") found components: Interpreter 2024-06-26T05:13:56.8872096Z -- Looking for pthread.h 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/executorch/third-party/googletest/build/include/gtest/internal/gtest-internal.h 2024-06-26T05:13:57.9918320Z -- Installing: /executorch/third-party/googletest/build/include/gtest/internal/gtest-param-util.h 2024-06-26T05:13:57.9919462Z -- Installing: /executorch/third-party/googletest/build/include/gtest/internal/gtest-port-arch.h 2024-06-26T05:13:57.9920539Z -- Installing: /executorch/third-party/googletest/build/include/gtest/internal/gtest-port.h 2024-06-26T05:13:57.9921612Z -- Installing: /executorch/third-party/googletest/build/include/gtest/internal/gtest-string.h 2024-06-26T05:13:57.9922720Z -- Installing: /executorch/third-party/googletest/build/include/gtest/internal/gtest-type-util.h 2024-06-26T05:13:57.9923722Z -- Installing: /executorch/third-party/googletest/build/lib/pkgconfig/gtest.pc 2024-06-26T05:13:57.9924621Z -- Installing: /executorch/third-party/googletest/build/lib/pkgconfig/gtest_main.pc 2024-06-26T05:13:57.9925241Z + popd 2024-06-26T05:13:57.9925484Z /executorch 2024-06-26T05:13:57.9925732Z + export_test_model 2024-06-26T05:13:57.9927070Z + python3 -m test.models.export_program --modules ModuleAdd,ModuleAddHalf,ModuleDynamicCatUnallocatedIO,ModuleIndex,ModuleLinear,ModuleMultipleEntry --outdir cmake-out 2024-06-26T05:14:00.4221072Z Exported ModuleAdd and wrote program data to cmake-out/ModuleAdd.pte 2024-06-26T05:14:00.5170336Z Exported ModuleAdd and wrote program data to cmake-out/ModuleAdd-no-constant-segment.pte 2024-06-26T05:14:00.6092415Z Exported ModuleAddHalf and wrote program data to cmake-out/ModuleAddHalf.pte 2024-06-26T05:14:00.7017521Z Exported ModuleAddHalf and wrote program data to cmake-out/ModuleAddHalf-no-constant-segment.pte 2024-06-26T05:14:00.9071166Z Exported ModuleDynamicCatUnallocatedIO and wrote program data to cmake-out/ModuleDynamicCatUnallocatedIO.pte 2024-06-26T05:14:01.0408786Z Exported ModuleDynamicCatUnallocatedIO and wrote program data to cmake-out/ModuleDynamicCatUnallocatedIO-no-constant-segment.pte 2024-06-26T05:14:01.1867878Z Exported ModuleIndex and wrote program data to cmake-out/ModuleIndex.pte 2024-06-26T05:14:01.3266391Z Exported ModuleIndex and wrote program data to cmake-out/ModuleIndex-no-constant-segment.pte 2024-06-26T05:14:01.5466884Z Exported ModuleLinear and wrote program data to cmake-out/ModuleLinear.pte 2024-06-26T05:14:01.6591342Z Exported ModuleLinear and wrote program data to cmake-out/ModuleLinear-no-constant-segment.pte 2024-06-26T05:14:01.8192561Z Exported ModuleMultipleEntry and wrote program data to cmake-out/ModuleMultipleEntry.pte 2024-06-26T05:14:01.9792324Z Exported ModuleMultipleEntry and wrote program data to cmake-out/ModuleMultipleEntry-no-constant-segment.pte 2024-06-26T05:14:02.5628816Z + python3 -m test.models.export_delegated_program --modules ModuleAddMul --backend_id StubBackend --outdir cmake-out 2024-06-26T05:14:04.6493510Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/passes/_quant_patterns_and_replacements.py:106: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-06-26T05:14:04.6495667Z @impl_abstract("quantized_decomposed::embedding_byte.out") 2024-06-26T05:14:04.6684034Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/passes/_quant_patterns_and_replacements.py:153: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-06-26T05:14:04.6686598Z @impl_abstract("quantized_decomposed::embedding_byte.dtype_out") 2024-06-26T05:14:04.6690421Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/passes/_quant_patterns_and_replacements.py:228: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-06-26T05:14:04.6693024Z @impl_abstract("quantized_decomposed::embedding_4bit.out") 2024-06-26T05:14:04.6695231Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/passes/_quant_patterns_and_replacements.py:281: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-06-26T05:14:04.6697235Z @impl_abstract("quantized_decomposed::embedding_4bit.dtype_out") 2024-06-26T05:14:05.2581587Z Exported ModuleAddMul and wrote program data to cmake-out/ModuleAddMul.pte 2024-06-26T05:14:05.4918292Z Exported ModuleAddMul and wrote program data to cmake-out/ModuleAddMul-da1024.pte 2024-06-26T05:14:05.7277684Z Exported ModuleAddMul and wrote program data to cmake-out/ModuleAddMul-nosegments.pte 2024-06-26T05:14:05.9610726Z 2024-06-26T05:14:05.9611003Z error: 2024-06-26T05:14:05.9612607Z /tmp/tmpwblg7wmu/data.json:1: 2248: error: unexpected force_align value '1024', alignment must be a power of two integer ranging from the type's natural alignment 1 to 32 2024-06-26T05:14:05.9613586Z 2024-06-26T05:14:05.9651358Z Traceback (most recent call last): 2024-06-26T05:14:05.9653048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/_serialize/_flatbuffer.py", line 301, in _program_json_to_flatbuffer 2024-06-26T05:14:05.9654558Z _flatc_compile(temp_dir, schema_info.root_path, json_path) 2024-06-26T05:14:05.9656089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/_serialize/_flatbuffer.py", line 221, in _flatc_compile 2024-06-26T05:14:05.9657355Z _run_flatc( 2024-06-26T05:14:05.9658741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/_serialize/_flatbuffer.py", line 207, in _run_flatc 2024-06-26T05:14:05.9659875Z subprocess.run([flatc_path] + list(args), check=True) 2024-06-26T05:14:05.9660791Z File "/opt/conda/envs/py_3.10/lib/python3.10/subprocess.py", line 526, in run 2024-06-26T05:14:05.9661786Z raise CalledProcessError(retcode, process.args, 2024-06-26T05:14:05.9663568Z subprocess.CalledProcessError: Command '['flatc', '--binary', '-o', '/tmp/tmpwblg7wmu', '/tmp/tmpwblg7wmu/program.fbs', '/tmp/tmpwblg7wmu/data.json']' returned non-zero exit status 1. 2024-06-26T05:14:05.9664901Z 2024-06-26T05:14:05.9665261Z The above exception was the direct cause of the following exception: 2024-06-26T05:14:05.9665716Z 2024-06-26T05:14:05.9665856Z Traceback (most recent call last): 2024-06-26T05:14:05.9666529Z File "/opt/conda/envs/py_3.10/lib/python3.10/runpy.py", line 196, in _run_module_as_main 2024-06-26T05:14:05.9667269Z return _run_code(code, main_globals, None, 2024-06-26T05:14:05.9667922Z File "/opt/conda/envs/py_3.10/lib/python3.10/runpy.py", line 86, in _run_code 2024-06-26T05:14:05.9668523Z exec(code, run_globals) 2024-06-26T05:14:05.9669104Z File "/executorch/test/models/export_delegated_program.py", line 192, in 2024-06-26T05:14:05.9669728Z main() 2024-06-26T05:14:05.9670207Z File "/executorch/test/models/export_delegated_program.py", line 181, in main 2024-06-26T05:14:05.9670831Z export_module_to_program( 2024-06-26T05:14:05.9671520Z File "/executorch/test/models/export_delegated_program.py", line 113, in export_module_to_program 2024-06-26T05:14:05.9672466Z executorch_program = to_edge(export(composite_module, args=inputs)).to_executorch( 2024-06-26T05:14:05.9673733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/program/_program.py", line 1230, in to_executorch 2024-06-26T05:14:05.9674823Z return ExecutorchProgramManager( 2024-06-26T05:14:05.9675822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/program/_program.py", line 1284, in __init__ 2024-06-26T05:14:05.9676773Z self._pte_data: Cord = _serialize_pte_binary( 2024-06-26T05:14:05.9678078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/_serialize/_program.py", line 424, in serialize_pte_binary 2024-06-26T05:14:05.9679188Z result: _FlatbufferResult = _program_json_to_flatbuffer( 2024-06-26T05:14:05.9680398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/_serialize/_flatbuffer.py", line 324, in _program_json_to_flatbuffer 2024-06-26T05:14:05.9681410Z raise RuntimeError( 2024-06-26T05:14:05.9682445Z RuntimeError: Failed to compile /tmp/tmpwblg7wmu/data.json to /tmp/tmpwblg7wmu/data.pte. Set ET_EXIR_SAVE_FLATC_INPUTS_ON_FAILURE=1 to save input files on failure. 2024-06-26T05:14:06.5308611Z + true 2024-06-26T05:14:06.5310736Z ++ realpath cmake-out/ModuleAddHalf.pte 2024-06-26T05:14:06.5320709Z + ET_MODULE_ADD_HALF_PATH=/executorch/cmake-out/ModuleAddHalf.pte 2024-06-26T05:14:06.5323001Z ++ realpath cmake-out/ModuleAdd.pte 2024-06-26T05:14:06.5330523Z + ET_MODULE_ADD_PATH=/executorch/cmake-out/ModuleAdd.pte 2024-06-26T05:14:06.5333148Z ++ realpath cmake-out/ModuleDynamicCatUnallocatedIO.pte 2024-06-26T05:14:06.5341270Z + ET_MODULE_DYNAMIC_CAT_UNALLOCATED_IO_PATH=/executorch/cmake-out/ModuleDynamicCatUnallocatedIO.pte 2024-06-26T05:14:06.5343571Z ++ realpath cmake-out/ModuleIndex.pte 2024-06-26T05:14:06.5351234Z + ET_MODULE_INDEX_PATH=/executorch/cmake-out/ModuleIndex.pte 2024-06-26T05:14:06.5353465Z ++ realpath cmake-out/ModuleLinear-no-constant-segment.pte 2024-06-26T05:14:06.5360948Z + ET_MODULE_LINEAR_CONSTANT_BUFFER_PATH=/executorch/cmake-out/ModuleLinear-no-constant-segment.pte 2024-06-26T05:14:06.5363033Z ++ realpath cmake-out/ModuleLinear.pte 2024-06-26T05:14:06.5370393Z + ET_MODULE_LINEAR_CONSTANT_SEGMENT_PATH=/executorch/cmake-out/ModuleLinear.pte 2024-06-26T05:14:06.5373160Z ++ realpath cmake-out/ModuleMultipleEntry.pte 2024-06-26T05:14:06.5380795Z + ET_MODULE_MULTI_ENTRY_PATH=/executorch/cmake-out/ModuleMultipleEntry.pte 2024-06-26T05:14:06.5383059Z ++ realpath cmake-out/ModuleAddMul-nosegments-da1024.pte 2024-06-26T05:14:06.5390388Z + ET_MODULE_ADD_MUL_NOSEGMENTS_DA1024_PATH=/executorch/cmake-out/ModuleAddMul-nosegments-da1024.pte 2024-06-26T05:14:06.5392577Z ++ realpath cmake-out/ModuleAddMul-nosegments.pte 2024-06-26T05:14:06.5399805Z + ET_MODULE_ADD_MUL_NOSEGMENTS_PATH=/executorch/cmake-out/ModuleAddMul-nosegments.pte 2024-06-26T05:14:06.5401760Z ++ realpath cmake-out/ModuleAddMul.pte 2024-06-26T05:14:06.5409379Z + ET_MODULE_ADD_MUL_PATH=/executorch/cmake-out/ModuleAddMul.pte 2024-06-26T05:14:06.5410210Z + export ET_MODULE_ADD_HALF_PATH 2024-06-26T05:14:06.5410614Z + export ET_MODULE_ADD_PATH 2024-06-26T05:14:06.5411088Z + export ET_MODULE_DYNAMIC_CAT_UNALLOCATED_IO_PATH 2024-06-26T05:14:06.5411556Z + export ET_MODULE_INDEX_PATH 2024-06-26T05:14:06.5411965Z + export ET_MODULE_LINEAR_CONSTANT_BUFFER_PATH 2024-06-26T05:14:06.5412460Z + export ET_MODULE_LINEAR_CONSTANT_SEGMENT_PATH 2024-06-26T05:14:06.5412907Z + export ET_MODULE_MULTI_ENTRY_PATH 2024-06-26T05:14:06.5413357Z + export ET_MODULE_ADD_MUL_NOSEGMENTS_DA1024_PATH 2024-06-26T05:14:06.5414060Z + export ET_MODULE_ADD_MUL_NOSEGMENTS_PATH 2024-06-26T05:14:06.5414576Z + export ET_MODULE_ADD_MUL_PATH 2024-06-26T05:14:06.5414979Z + '[' -z '' ']' 2024-06-26T05:14:06.5415321Z + echo 'Running all directories:' 2024-06-26T05:14:06.5415691Z Running all directories: 2024-06-26T05:14:06.5416015Z + probe_tests 2024-06-26T05:14:06.5416460Z + dirs=(backends examples extension kernels runtime schema sdk test) 2024-06-26T05:14:06.5417900Z + find backends examples extension kernels runtime schema sdk test '(' -type f -wholename '*/test/CMakeLists.txt' -exec dirname '{}' ';' ')' -o '(' -type d -path '*/third-party/*' -prune ')' 2024-06-26T05:14:06.5419225Z + sort -u 2024-06-26T05:14:06.5704426Z backends/vulkan/test 2024-06-26T05:14:06.5705111Z backends/xnnpack/test 2024-06-26T05:14:06.5705535Z examples/models/llama2/tokenizer/test 2024-06-26T05:14:06.5705979Z extension/data_loader/test 2024-06-26T05:14:06.5706351Z extension/evalue_util/test 2024-06-26T05:14:06.5706744Z extension/kernel_util/test 2024-06-26T05:14:06.5707138Z extension/memory_allocator/test 2024-06-26T05:14:06.5707532Z extension/module/test 2024-06-26T05:14:06.5707870Z extension/parallel/test 2024-06-26T05:14:06.5708199Z extension/pytree/test 2024-06-26T05:14:06.5708684Z extension/runner_util/test 2024-06-26T05:14:06.5709249Z kernels/portable/cpu/util/test 2024-06-26T05:14:06.5709837Z kernels/portable/test 2024-06-26T05:14:06.5710311Z kernels/quantized/test 2024-06-26T05:14:06.5710866Z kernels/test 2024-06-26T05:14:06.5711360Z runtime/core/exec_aten/testing_util/test 2024-06-26T05:14:06.5712050Z runtime/core/exec_aten/util/test 2024-06-26T05:14:06.5712635Z runtime/core/portable_type/test 2024-06-26T05:14:06.5713215Z runtime/core/test 2024-06-26T05:14:06.5713679Z runtime/executor/test 2024-06-26T05:14:06.5714194Z runtime/kernel/test 2024-06-26T05:14:06.5714697Z runtime/platform/test 2024-06-26T05:14:06.5715248Z ++ probe_tests 2024-06-26T05:14:06.5716047Z ++ dirs=(backends examples extension kernels runtime schema sdk test) 2024-06-26T05:14:06.5719143Z ++ find backends examples extension kernels runtime schema sdk test '(' -type f -wholename '*/test/CMakeLists.txt' -exec dirname '{}' ';' ')' -o '(' -type d -path '*/third-party/*' -prune ')' 2024-06-26T05:14:06.5720582Z ++ sort -u 2024-06-26T05:14:06.5960799Z + for test_dir in $(probe_tests) 2024-06-26T05:14:06.5961326Z + build_and_run_test backends/vulkan/test 2024-06-26T05:14:06.5961906Z + local test_dir=backends/vulkan/test 2024-06-26T05:14:06.5962275Z ++ pwd 2024-06-26T05:14:06.5964975Z + cmake backends/vulkan/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/backends/vulkan/test 2024-06-26T05:14:06.6711580Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:14:06.7723333Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:14:06.7776706Z -- Detecting C compiler ABI info 2024-06-26T05:14:06.8890393Z -- Detecting C compiler ABI info - done 2024-06-26T05:14:06.8951022Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:14:06.8953017Z -- Detecting C compile features 2024-06-26T05:14:06.8956860Z -- Detecting C compile features - done 2024-06-26T05:14:06.8988932Z -- Detecting CXX compiler ABI info 2024-06-26T05:14:07.0479868Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:14:07.0545079Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:14:07.0547465Z -- Detecting CXX compile features 2024-06-26T05:14:07.0553027Z -- Detecting CXX compile features - done 2024-06-26T05:14:07.0636986Z flatccrt_d library is not found. 2024-06-26T05:14:07.0637678Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:07.0640040Z mpsdelegate library is not found. 2024-06-26T05:14:07.0640931Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:07.0643513Z qnn_executorch_backend library is not found. 2024-06-26T05:14:07.0644386Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:07.0654737Z vulkan_backend library is not found. 2024-06-26T05:14:07.0655592Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:07.0664934Z quantized_ops_aot_lib library is not found. 2024-06-26T05:14:07.0665800Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:07.0680858Z -- Looking for pthread.h 2024-06-26T05:14:07.1859597Z -- Looking for pthread.h - found 2024-06-26T05:14:07.1860611Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:14:07.3019893Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:14:07.3027239Z -- Found Threads: TRUE 2024-06-26T05:14:07.3038845Z -- Configuring done 2024-06-26T05:14:07.3051008Z -- Generating done 2024-06-26T05:14:07.3054129Z CMake Warning: 2024-06-26T05:14:07.3054765Z Manually-specified variables were not used by the project: 2024-06-26T05:14:07.3055191Z 2024-06-26T05:14:07.3055324Z EXECUTORCH_USE_CPP_CODE_COVERAGE 2024-06-26T05:14:07.3055601Z 2024-06-26T05:14:07.3055721Z  2024-06-26T05:14:07.3064985Z -- Build files have been written to: /executorch/cmake-out/backends/vulkan/test 2024-06-26T05:14:07.3092836Z + cmake --build cmake-out/backends/vulkan/test -j9 2024-06-26T05:14:07.3310223Z + [[ backends/vulkan/test =~ .*tokenizer.* ]] 2024-06-26T05:14:07.3312016Z ++ realpath extension/module/test/resources 2024-06-26T05:14:07.3320498Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:14:07.3321201Z + export RESOURCES_PATH 2024-06-26T05:14:07.3321917Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:14:07.3322449Z + '[' -e 'cmake-out/backends/vulkan/test/*test' ']' 2024-06-26T05:14:07.3322920Z + for test_dir in $(probe_tests) 2024-06-26T05:14:07.3323328Z + build_and_run_test backends/xnnpack/test 2024-06-26T05:14:07.3323761Z + local test_dir=backends/xnnpack/test 2024-06-26T05:14:07.3324912Z ++ pwd 2024-06-26T05:14:07.3328073Z + cmake backends/xnnpack/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/backends/xnnpack/test 2024-06-26T05:14:07.4069713Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:14:07.5066370Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:14:07.5120236Z -- Detecting C compiler ABI info 2024-06-26T05:14:07.6237401Z -- Detecting C compiler ABI info - done 2024-06-26T05:14:07.6298369Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:14:07.6300613Z -- Detecting C compile features 2024-06-26T05:14:07.6304667Z -- Detecting C compile features - done 2024-06-26T05:14:07.6337220Z -- Detecting CXX compiler ABI info 2024-06-26T05:14:07.8069809Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:14:07.8135411Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:14:07.8137747Z -- Detecting CXX compile features 2024-06-26T05:14:07.8142621Z -- Detecting CXX compile features - done 2024-06-26T05:14:07.8233837Z flatccrt_d library is not found. 2024-06-26T05:14:07.8234758Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:07.8237152Z mpsdelegate library is not found. 2024-06-26T05:14:07.8237782Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:07.8240653Z qnn_executorch_backend library is not found. 2024-06-26T05:14:07.8241343Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:07.8251572Z vulkan_backend library is not found. 2024-06-26T05:14:07.8252217Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:07.8261636Z quantized_ops_aot_lib library is not found. 2024-06-26T05:14:07.8262305Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:07.8276543Z -- Looking for pthread.h 2024-06-26T05:14:07.9404496Z -- Looking for pthread.h - found 2024-06-26T05:14:07.9405582Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:14:08.0547215Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:14:08.0554807Z -- Found Threads: TRUE 2024-06-26T05:14:08.0564949Z -- Configuring done 2024-06-26T05:14:08.0606319Z -- Generating done 2024-06-26T05:14:08.0624248Z -- Build files have been written to: /executorch/cmake-out/backends/xnnpack/test 2024-06-26T05:14:08.0653300Z + cmake --build cmake-out/backends/xnnpack/test -j9 2024-06-26T05:14:08.0945677Z [ 16%] Building CXX object CMakeFiles/backends_xnnpack_test.dir/runtime/test_xnnexecutor.cpp.o 2024-06-26T05:14:08.0948982Z [ 33%] Building CXX object CMakeFiles/backends_xnnpack_test.dir/executorch/backends/xnnpack/threadpool/threadpool.cpp.o 2024-06-26T05:14:08.0953628Z [ 50%] Building CXX object CMakeFiles/backends_xnnpack_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:14:08.0987077Z [ 66%] Building CXX object CMakeFiles/backends_xnnpack_test.dir/executorch/backends/xnnpack/threadpool/test/threadpool_test.cpp.o 2024-06-26T05:14:08.0996758Z [ 83%] Building CXX object CMakeFiles/backends_xnnpack_test.dir/executorch/backends/xnnpack/threadpool/threadpool_guard.cpp.o 2024-06-26T05:14:08.3561631Z [100%] Linking CXX executable backends_xnnpack_test 2024-06-26T05:14:08.7556183Z [100%] Built target backends_xnnpack_test 2024-06-26T05:14:08.7620213Z + [[ backends/xnnpack/test =~ .*tokenizer.* ]] 2024-06-26T05:14:08.7622470Z ++ realpath extension/module/test/resources 2024-06-26T05:14:08.7630899Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:14:08.7631516Z + export RESOURCES_PATH 2024-06-26T05:14:08.7632017Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:14:08.7632633Z + '[' -e cmake-out/backends/xnnpack/test/backends_xnnpack_test ']' 2024-06-26T05:14:08.7634343Z ++ basename cmake-out/backends/xnnpack/test/backends_xnnpack_test 2024-06-26T05:14:08.7642116Z + LLVM_PROFILE_FILE=cmake-out/backends_xnnpack_test.profraw 2024-06-26T05:14:08.7642877Z + ./cmake-out/backends/xnnpack/test/backends_xnnpack_test 2024-06-26T05:14:08.7656690Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:14:08.7657535Z [==========] Running 5 tests from 3 test suites. 2024-06-26T05:14:08.7658103Z [----------] Global test environment set-up. 2024-06-26T05:14:08.7658657Z [----------] 1 test from XNNExecutorTest 2024-06-26T05:14:08.7659329Z [ RUN ] XNNExecutorTest.ArgumentWithTooManyDimensions 2024-06-26T05:14:08.7847992Z [ OK ] XNNExecutorTest.ArgumentWithTooManyDimensions (18 ms) 2024-06-26T05:14:08.7849094Z [----------] 1 test from XNNExecutorTest (18 ms total) 2024-06-26T05:14:08.7849612Z 2024-06-26T05:14:08.7849911Z [----------] 2 tests from ThreadPoolTest 2024-06-26T05:14:08.7850645Z [ RUN ] ThreadPoolTest.ParallelAdd 2024-06-26T05:14:08.7860208Z [ OK ] ThreadPoolTest.ParallelAdd (1 ms) 2024-06-26T05:14:08.7861444Z [ RUN ] ThreadPoolTest.ParallelReduce 2024-06-26T05:14:08.7865139Z [ OK ] ThreadPoolTest.ParallelReduce (0 ms) 2024-06-26T05:14:08.7866300Z [----------] 2 tests from ThreadPoolTest (2 ms total) 2024-06-26T05:14:08.7867069Z 2024-06-26T05:14:08.7867337Z [----------] 2 tests from TestNoThreadPoolGuard 2024-06-26T05:14:08.7868028Z [ RUN ] TestNoThreadPoolGuard.TestThreadPoolGuard 2024-06-26T05:14:08.7868797Z [ OK ] TestNoThreadPoolGuard.TestThreadPoolGuard (0 ms) 2024-06-26T05:14:08.7869563Z [ RUN ] TestNoThreadPoolGuard.TestRunWithGuard 2024-06-26T05:14:08.7870296Z [ OK ] TestNoThreadPoolGuard.TestRunWithGuard (0 ms) 2024-06-26T05:14:08.7871033Z [----------] 2 tests from TestNoThreadPoolGuard (0 ms total) 2024-06-26T05:14:08.7871507Z 2024-06-26T05:14:08.7871809Z [----------] Global test environment tear-down 2024-06-26T05:14:08.7872803Z [==========] 5 tests from 3 test suites ran. (20 ms total) 2024-06-26T05:14:08.7873392Z [ PASSED ] 5 tests. 2024-06-26T05:14:08.7874062Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test' 2024-06-26T05:14:08.7874706Z + for test_dir in $(probe_tests) 2024-06-26T05:14:08.7875182Z + build_and_run_test examples/models/llama2/tokenizer/test 2024-06-26T05:14:08.7875746Z + local test_dir=examples/models/llama2/tokenizer/test 2024-06-26T05:14:08.7877073Z ++ pwd 2024-06-26T05:14:08.7880732Z + cmake examples/models/llama2/tokenizer/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/examples/models/llama2/tokenizer/test 2024-06-26T05:14:08.8636936Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:14:08.9665348Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:14:08.9719238Z -- Detecting C compiler ABI info 2024-06-26T05:14:09.0818498Z -- Detecting C compiler ABI info - done 2024-06-26T05:14:09.0879742Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:14:09.0881730Z -- Detecting C compile features 2024-06-26T05:14:09.0886234Z -- Detecting C compile features - done 2024-06-26T05:14:09.0918574Z -- Detecting CXX compiler ABI info 2024-06-26T05:14:09.2388492Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:14:09.2453711Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:14:09.2455945Z -- Detecting CXX compile features 2024-06-26T05:14:09.2460830Z -- Detecting CXX compile features - done 2024-06-26T05:14:09.2544093Z flatccrt_d library is not found. 2024-06-26T05:14:09.2544936Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:09.2547860Z mpsdelegate library is not found. 2024-06-26T05:14:09.2548739Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:09.2551272Z qnn_executorch_backend library is not found. 2024-06-26T05:14:09.2552142Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:09.2562376Z vulkan_backend library is not found. 2024-06-26T05:14:09.2563245Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:09.2572877Z quantized_ops_aot_lib library is not found. 2024-06-26T05:14:09.2573599Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:09.2587542Z -- Looking for pthread.h 2024-06-26T05:14:09.3765309Z -- Looking for pthread.h - found 2024-06-26T05:14:09.3766719Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:14:09.4909179Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:14:09.4916873Z -- Found Threads: TRUE 2024-06-26T05:14:09.5014728Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX17 2024-06-26T05:14:09.6573289Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX17 - Success 2024-06-26T05:14:09.6574056Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX20 2024-06-26T05:14:09.7004259Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX20 - Failed 2024-06-26T05:14:09.8784602Z -- Configuring done 2024-06-26T05:14:10.1275698Z -- Generating done 2024-06-26T05:14:10.1470209Z -- Build files have been written to: /executorch/cmake-out/examples/models/llama2/tokenizer/test 2024-06-26T05:14:10.1590049Z + cmake --build cmake-out/examples/models/llama2/tokenizer/test -j9 2024-06-26T05:14:10.2029470Z [ 1%] Building CXX object abseil-cpp/absl/base/CMakeFiles/log_severity.dir/log_severity.cc.o 2024-06-26T05:14:10.2035760Z [ 1%] Building CXX object abseil-cpp/absl/base/CMakeFiles/spinlock_wait.dir/internal/spinlock_wait.cc.o 2024-06-26T05:14:10.2047326Z [ 1%] Building CXX object abseil-cpp/absl/profiling/CMakeFiles/exponential_biased.dir/internal/exponential_biased.cc.o 2024-06-26T05:14:10.2055503Z [ 1%] Building CXX object abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_fixed.cc.o 2024-06-26T05:14:10.2068318Z [ 1%] Building CXX object abseil-cpp/absl/time/CMakeFiles/civil_time.dir/internal/cctz/src/civil_time_detail.cc.o 2024-06-26T05:14:10.2074377Z [ 2%] Building CXX object abseil-cpp/absl/flags/CMakeFiles/flags_commandlineflag_internal.dir/internal/commandlineflag.cc.o 2024-06-26T05:14:10.2076889Z [ 3%] Building CXX object abseil-cpp/absl/numeric/CMakeFiles/int128.dir/int128.cc.o 2024-06-26T05:14:10.2139840Z [ 4%] Building CXX object abseil-cpp/absl/base/CMakeFiles/strerror.dir/internal/strerror.cc.o 2024-06-26T05:14:10.2142370Z [ 4%] Building CXX object abseil-cpp/absl/debugging/CMakeFiles/leak_check.dir/leak_check.cc.o 2024-06-26T05:14:10.3078137Z [ 4%] Linking CXX static library libabsl_flags_commandlineflag_internal.a 2024-06-26T05:14:10.3390034Z [ 4%] Built target flags_commandlineflag_internal 2024-06-26T05:14:10.3458719Z [ 4%] Building CXX object abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_format.cc.o 2024-06-26T05:14:10.3461185Z [ 4%] Linking CXX static library libabsl_log_severity.a 2024-06-26T05:14:10.3499043Z [ 5%] Linking CXX static library libabsl_leak_check.a 2024-06-26T05:14:10.3605771Z [ 6%] Linking CXX static library libabsl_exponential_biased.a 2024-06-26T05:14:10.3689137Z [ 7%] Linking CXX static library libabsl_spinlock_wait.a 2024-06-26T05:14:10.3741739Z [ 7%] Linking CXX static library libabsl_strerror.a 2024-06-26T05:14:10.3806091Z [ 7%] Built target log_severity 2024-06-26T05:14:10.3869739Z [ 7%] Built target leak_check 2024-06-26T05:14:10.3899594Z [ 8%] Building CXX object abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_if.cc.o 2024-06-26T05:14:10.3981631Z [ 8%] Built target exponential_biased 2024-06-26T05:14:10.4020396Z [ 8%] Built target spinlock_wait 2024-06-26T05:14:10.4038445Z [ 8%] Building CXX object abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_impl.cc.o 2024-06-26T05:14:10.4051860Z [ 8%] Building CXX object abseil-cpp/absl/log/CMakeFiles/log_internal_nullguard.dir/internal/nullguard.cc.o 2024-06-26T05:14:10.4114574Z [ 8%] Built target strerror 2024-06-26T05:14:10.4116631Z [ 9%] Building CXX object abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_info.cc.o 2024-06-26T05:14:10.4201229Z [ 9%] Linking CXX static library libabsl_int128.a 2024-06-26T05:14:10.4383557Z [ 9%] Building CXX object abseil-cpp/absl/random/CMakeFiles/random_seed_gen_exception.dir/seed_gen_exception.cc.o 2024-06-26T05:14:10.4571666Z [ 10%] Building CXX object abseil-cpp/absl/random/CMakeFiles/random_internal_platform.dir/internal/randen_round_keys.cc.o 2024-06-26T05:14:10.4844937Z [ 10%] Built target int128 2024-06-26T05:14:10.4920762Z [ 10%] Building CXX object abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_libc.cc.o 2024-06-26T05:14:10.5140201Z [ 11%] Linking CXX static library libabsl_civil_time.a 2024-06-26T05:14:10.5218295Z [ 12%] Linking CXX static library libabsl_log_internal_nullguard.a 2024-06-26T05:14:10.5476640Z [ 12%] Built target civil_time 2024-06-26T05:14:10.5521687Z [ 12%] Built target log_internal_nullguard 2024-06-26T05:14:10.5531150Z [ 12%] Building CXX object abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_lookup.cc.o 2024-06-26T05:14:10.5580462Z [ 13%] Building CXX object abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_posix.cc.o 2024-06-26T05:14:10.5689580Z [ 13%] Building CXX object abseil-cpp/absl/base/CMakeFiles/raw_logging_internal.dir/internal/raw_logging.cc.o 2024-06-26T05:14:10.5958866Z [ 13%] Linking CXX static library libabsl_random_seed_gen_exception.a 2024-06-26T05:14:10.6062634Z [ 14%] Building CXX object abseil-cpp/absl/profiling/CMakeFiles/periodic_sampler.dir/internal/periodic_sampler.cc.o 2024-06-26T05:14:10.6204687Z [ 14%] Linking CXX static library libabsl_random_internal_platform.a 2024-06-26T05:14:10.6286369Z [ 14%] Built target random_seed_gen_exception 2024-06-26T05:14:10.6466554Z [ 14%] Building CXX object abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/zone_info_source.cc.o 2024-06-26T05:14:10.6527924Z [ 14%] Built target random_internal_platform 2024-06-26T05:14:10.6694247Z [ 15%] Building CXX object abseil-cpp/absl/random/CMakeFiles/random_internal_randen_slow.dir/internal/randen_slow.cc.o 2024-06-26T05:14:10.6723695Z [ 16%] Building CXX object abseil-cpp/absl/random/CMakeFiles/random_internal_randen_hwaes_impl.dir/internal/randen_hwaes.cc.o 2024-06-26T05:14:10.6760036Z [ 17%] Linking CXX static library libabsl_raw_logging_internal.a 2024-06-26T05:14:10.7007624Z [ 17%] Linking CXX static library libabsl_periodic_sampler.a 2024-06-26T05:14:10.7071795Z [ 17%] Built target raw_logging_internal 2024-06-26T05:14:10.7261646Z [ 18%] Building CXX object abseil-cpp/absl/debugging/CMakeFiles/debugging_internal.dir/internal/address_is_readable.cc.o 2024-06-26T05:14:10.7287668Z [ 18%] Building CXX object abseil-cpp/absl/types/CMakeFiles/bad_variant_access.dir/bad_variant_access.cc.o 2024-06-26T05:14:10.7347918Z [ 18%] Building CXX object abseil-cpp/absl/base/CMakeFiles/throw_delegate.dir/internal/throw_delegate.cc.o 2024-06-26T05:14:10.7415951Z [ 18%] Building CXX object abseil-cpp/absl/base/CMakeFiles/base.dir/internal/cycleclock.cc.o 2024-06-26T05:14:10.7534950Z [ 19%] Building CXX object abseil-cpp/absl/types/CMakeFiles/bad_optional_access.dir/bad_optional_access.cc.o 2024-06-26T05:14:10.7670937Z [ 19%] Built target periodic_sampler 2024-06-26T05:14:10.7786970Z [ 19%] Building CXX object abseil-cpp/absl/debugging/CMakeFiles/debugging_internal.dir/internal/elf_mem_image.cc.o 2024-06-26T05:14:10.8306329Z [ 19%] Linking CXX static library libabsl_time_zone.a 2024-06-26T05:14:10.8474781Z [ 20%] Linking CXX static library libabsl_bad_variant_access.a 2024-06-26T05:14:10.8710556Z [ 20%] Linking CXX static library libabsl_random_internal_randen_slow.a 2024-06-26T05:14:10.8728758Z [ 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abseil-cpp/absl/base/CMakeFiles/scoped_set_env.dir/internal/scoped_set_env.cc.o 2024-06-26T05:14:10.9423131Z [ 22%] Built target bad_optional_access 2024-06-26T05:14:10.9456121Z [ 22%] Linking CXX static library libabsl_throw_delegate.a 2024-06-26T05:14:10.9593577Z [ 22%] Building CXX object abseil-cpp/absl/base/CMakeFiles/base.dir/internal/thread_identity.cc.o 2024-06-26T05:14:10.9706093Z [ 22%] Built target random_internal_randen_hwaes_impl 2024-06-26T05:14:10.9806693Z [ 22%] Building CXX object abseil-cpp/absl/types/CMakeFiles/bad_any_cast_impl.dir/bad_any_cast.cc.o 2024-06-26T05:14:11.0107511Z [ 22%] Built target throw_delegate 2024-06-26T05:14:11.0216226Z [ 22%] Building CXX object abseil-cpp/absl/random/CMakeFiles/random_internal_randen_hwaes.dir/internal/randen_detect.cc.o 2024-06-26T05:14:11.0229268Z [ 23%] Building CXX object abseil-cpp/absl/base/CMakeFiles/base.dir/internal/unscaledcycleclock.cc.o 2024-06-26T05:14:11.0648122Z [ 24%] Linking CXX static library libabsl_debugging_internal.a 2024-06-26T05:14:11.0828682Z [ 24%] Linking CXX static library libabsl_scoped_set_env.a 2024-06-26T05:14:11.0869801Z [ 24%] Linking CXX static library libabsl_bad_any_cast_impl.a 2024-06-26T05:14:11.0928209Z [ 24%] Built target debugging_internal 2024-06-26T05:14:11.1048730Z [ 24%] Linking CXX static library libabsl_cordz_functions.a 2024-06-26T05:14:11.1065737Z [ 24%] Linking CXX static library libabsl_random_internal_randen_hwaes.a 2024-06-26T05:14:11.1098904Z [ 24%] Building CXX object abseil-cpp/absl/debugging/CMakeFiles/stacktrace.dir/stacktrace.cc.o 2024-06-26T05:14:11.1154489Z [ 24%] Built target scoped_set_env 2024-06-26T05:14:11.1158836Z [ 24%] Built target bad_any_cast_impl 2024-06-26T05:14:11.1282225Z [ 24%] Linking CXX static library libabsl_base.a 2024-06-26T05:14:11.1317817Z [ 24%] Built target cordz_functions 2024-06-26T05:14:11.1363537Z [ 24%] Built target random_internal_randen_hwaes 2024-06-26T05:14:11.1505010Z [ 24%] Building CXX object abseil-cpp/absl/random/CMakeFiles/random_internal_randen.dir/internal/randen.cc.o 2024-06-26T05:14:11.1532172Z [ 24%] Built target base 2024-06-26T05:14:11.1714556Z [ 24%] Building CXX object abseil-cpp/absl/hash/CMakeFiles/city.dir/internal/city.cc.o 2024-06-26T05:14:11.1715948Z [ 24%] Building CXX object abseil-cpp/absl/base/CMakeFiles/malloc_internal.dir/internal/low_level_alloc.cc.o 2024-06-26T05:14:11.1721753Z [ 24%] Building CXX object abseil-cpp/absl/strings/CMakeFiles/strings_internal.dir/internal/ostringstream.cc.o 2024-06-26T05:14:11.1771751Z [ 24%] Building CXX object abseil-cpp/absl/debugging/CMakeFiles/demangle_internal.dir/internal/demangle.cc.o 2024-06-26T05:14:11.1780921Z [ 24%] Building CXX object abseil-cpp/absl/hash/CMakeFiles/low_level_hash.dir/internal/low_level_hash.cc.o 2024-06-26T05:14:11.1877249Z [ 25%] Building CXX object abseil-cpp/absl/strings/CMakeFiles/string_view.dir/string_view.cc.o 2024-06-26T05:14:11.1930530Z [ 26%] Building CXX object abseil-cpp/absl/crc/CMakeFiles/crc_cpu_detect.dir/internal/cpu_detect.cc.o 2024-06-26T05:14:11.2345436Z [ 27%] Linking CXX static library libabsl_stacktrace.a 2024-06-26T05:14:11.2989008Z [ 27%] Built target stacktrace 2024-06-26T05:14:11.3099938Z [ 27%] Building CXX object abseil-cpp/absl/strings/CMakeFiles/strings_internal.dir/internal/utf8.cc.o 2024-06-26T05:14:11.3275659Z [ 28%] Linking CXX static library libabsl_random_internal_randen.a 2024-06-26T05:14:11.3383610Z [ 29%] Building CXX object abseil-cpp/absl/log/CMakeFiles/log_internal_conditions.dir/internal/conditions.cc.o 2024-06-26T05:14:11.3582138Z [ 29%] Built target random_internal_randen 2024-06-26T05:14:11.3617394Z [ 30%] Linking CXX static library libabsl_city.a 2024-06-26T05:14:11.3642476Z [ 31%] Building CXX object abseil-cpp/absl/strings/CMakeFiles/strings_internal.dir/internal/escaping.cc.o 2024-06-26T05:14:11.3678441Z [ 31%] Linking CXX static library libabsl_demangle_internal.a 2024-06-26T05:14:11.3679476Z [ 31%] Linking CXX static library libabsl_crc_cpu_detect.a 2024-06-26T05:14:11.3784546Z [ 31%] Linking CXX static library libabsl_string_view.a 2024-06-26T05:14:11.3952794Z [ 31%] Built target city 2024-06-26T05:14:11.3979170Z [ 31%] Built target crc_cpu_detect 2024-06-26T05:14:11.3982823Z [ 32%] Linking CXX static library libabsl_low_level_hash.a 2024-06-26T05:14:11.3998746Z [ 32%] Built target demangle_internal 2024-06-26T05:14:11.4007852Z [ 32%] Linking CXX static library libabsl_malloc_internal.a 2024-06-26T05:14:11.4162052Z [ 32%] Built target string_view 2024-06-26T05:14:11.4201986Z [ 32%] Building CXX object abseil-cpp/absl/crc/CMakeFiles/crc_internal.dir/internal/crc.cc.o 2024-06-26T05:14:11.4217142Z [ 33%] Building CXX object abseil-cpp/absl/crc/CMakeFiles/crc_internal.dir/internal/crc_x86_arm_combined.cc.o 2024-06-26T05:14:11.4281193Z [ 33%] Built target low_level_hash 2024-06-26T05:14:11.4299284Z [ 33%] Built target malloc_internal 2024-06-26T05:14:11.4484164Z [ 33%] Linking CXX 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Building CXX object abseil-cpp/absl/container/CMakeFiles/raw_hash_set.dir/internal/raw_hash_set.cc.o 2024-06-26T05:14:14.2403606Z [ 73%] Built target cordz_handle 2024-06-26T05:14:14.2549731Z [ 74%] Building CXX object abseil-cpp/absl/strings/CMakeFiles/cordz_info.dir/internal/cordz_info.cc.o 2024-06-26T05:14:14.3897673Z [ 75%] Linking CXX static library libabsl_flags_config.a 2024-06-26T05:14:14.4055353Z [ 76%] Linking CXX static library libabsl_log_globals.a 2024-06-26T05:14:14.4165517Z [ 76%] Built target flags_config 2024-06-26T05:14:14.4305762Z [ 76%] Building CXX object abseil-cpp/absl/flags/CMakeFiles/flags_internal.dir/internal/flag.cc.o 2024-06-26T05:14:14.4312003Z [ 76%] Built target log_globals 2024-06-26T05:14:14.4458978Z [ 76%] Building CXX object abseil-cpp/absl/log/CMakeFiles/log_initialize.dir/initialize.cc.o 2024-06-26T05:14:14.4492076Z [ 77%] Building CXX object abseil-cpp/absl/log/CMakeFiles/log_internal_log_sink_set.dir/internal/log_sink_set.cc.o 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libabsl_log_internal_log_sink_set.a 2024-06-26T05:14:14.7159902Z [ 79%] Built target log_internal_log_sink_set 2024-06-26T05:14:14.7165984Z [ 79%] Linking CXX static library libabsl_flags_internal.a 2024-06-26T05:14:14.7294504Z [ 79%] Building CXX object abseil-cpp/absl/log/CMakeFiles/log_internal_message.dir/internal/log_message.cc.o 2024-06-26T05:14:14.7366381Z [ 80%] Linking CXX static library libabsl_cordz_sample_token.a 2024-06-26T05:14:14.7426432Z [ 80%] Built target flags_internal 2024-06-26T05:14:14.7667128Z [ 80%] Built target cordz_sample_token 2024-06-26T05:14:14.8594589Z [ 80%] Linking CXX static library libabsl_cord.a 2024-06-26T05:14:14.8859584Z [ 80%] Built target cord 2024-06-26T05:14:14.9009884Z [ 80%] Building CXX object abseil-cpp/absl/status/CMakeFiles/status.dir/internal/status_internal.cc.o 2024-06-26T05:14:14.9012004Z [ 81%] Building CXX object abseil-cpp/absl/status/CMakeFiles/status.dir/status_payload_printer.cc.o 2024-06-26T05:14:14.9018340Z [ 82%] Building CXX object abseil-cpp/absl/flags/CMakeFiles/flags_reflection.dir/reflection.cc.o 2024-06-26T05:14:14.9021479Z [ 82%] Building CXX object abseil-cpp/absl/status/CMakeFiles/status.dir/status.cc.o 2024-06-26T05:14:14.9636076Z [ 83%] Linking CXX static library libabsl_log_internal_message.a 2024-06-26T05:14:14.9956807Z [ 83%] Built target log_internal_message 2024-06-26T05:14:15.0161445Z [ 83%] Building CXX object abseil-cpp/absl/log/CMakeFiles/log_internal_check_op.dir/internal/check_op.cc.o 2024-06-26T05:14:15.0168900Z [ 84%] Building CXX object abseil-cpp/absl/log/CMakeFiles/die_if_null.dir/die_if_null.cc.o 2024-06-26T05:14:15.2147510Z [ 84%] Linking CXX static library libabsl_die_if_null.a 2024-06-26T05:14:15.2148401Z [ 84%] Linking CXX static library libabsl_log_internal_check_op.a 2024-06-26T05:14:15.2154742Z [ 84%] Linking CXX static library libabsl_flags_reflection.a 2024-06-26T05:14:15.2399521Z [ 84%] Built target log_internal_check_op 2024-06-26T05:14:15.2403212Z [ 84%] Built target die_if_null 2024-06-26T05:14:15.2435702Z [ 84%] Built target flags_reflection 2024-06-26T05:14:15.2577900Z [ 84%] Building CXX object abseil-cpp/absl/flags/CMakeFiles/flags_usage_internal.dir/internal/usage.cc.o 2024-06-26T05:14:15.2583536Z [ 85%] Building CXX object re2/CMakeFiles/re2.dir/re2/compile.cc.o 2024-06-26T05:14:15.2585400Z [ 85%] Building CXX object re2/CMakeFiles/re2.dir/re2/dfa.cc.o 2024-06-26T05:14:15.2587279Z [ 85%] Building CXX object re2/CMakeFiles/re2.dir/re2/bitstate.cc.o 2024-06-26T05:14:15.2589052Z [ 85%] Building CXX object re2/CMakeFiles/re2.dir/re2/bitmap256.cc.o 2024-06-26T05:14:15.2632602Z [ 86%] Building CXX object abseil-cpp/absl/log/CMakeFiles/log_flags.dir/flags.cc.o 2024-06-26T05:14:15.2642174Z [ 87%] Building CXX object re2/CMakeFiles/re2.dir/re2/filtered_re2.cc.o 2024-06-26T05:14:15.2645552Z [ 87%] Building CXX object re2/CMakeFiles/re2.dir/re2/mimics_pcre.cc.o 2024-06-26T05:14:15.3517519Z [ 87%] Linking CXX static library libabsl_status.a 2024-06-26T05:14:15.3885823Z [ 87%] Built target status 2024-06-26T05:14:15.3945729Z [ 87%] Building CXX object re2/CMakeFiles/re2.dir/re2/nfa.cc.o 2024-06-26T05:14:15.4021027Z [ 88%] Building CXX object re2/CMakeFiles/re2.dir/re2/onepass.cc.o 2024-06-26T05:14:15.5259190Z [ 88%] Building CXX object abseil-cpp/absl/status/CMakeFiles/statusor.dir/statusor.cc.o 2024-06-26T05:14:15.5421916Z [ 88%] Building CXX object re2/CMakeFiles/re2.dir/re2/parse.cc.o 2024-06-26T05:14:15.5577620Z [ 89%] Linking CXX static library libabsl_flags_usage_internal.a 2024-06-26T05:14:15.6002709Z [ 89%] Built target flags_usage_internal 2024-06-26T05:14:15.6017935Z [ 89%] Building CXX object re2/CMakeFiles/re2.dir/re2/perl_groups.cc.o 2024-06-26T05:14:15.6093279Z [ 90%] Building CXX object re2/CMakeFiles/re2.dir/re2/prefilter.cc.o 2024-06-26T05:14:15.6503112Z [ 90%] Linking CXX static library libabsl_log_flags.a 2024-06-26T05:14:15.6548923Z [ 90%] Building CXX object re2/CMakeFiles/re2.dir/re2/prefilter_tree.cc.o 2024-06-26T05:14:15.6819447Z [ 90%] Built target log_flags 2024-06-26T05:14:15.6923403Z [ 91%] Building CXX object re2/CMakeFiles/re2.dir/re2/prog.cc.o 2024-06-26T05:14:15.6939057Z [ 92%] Building CXX object abseil-cpp/absl/flags/CMakeFiles/flags_usage.dir/usage.cc.o 2024-06-26T05:14:15.7340235Z [ 92%] Building CXX object re2/CMakeFiles/re2.dir/re2/re2.cc.o 2024-06-26T05:14:15.7388558Z [ 92%] Building CXX object re2/CMakeFiles/re2.dir/re2/regexp.cc.o 2024-06-26T05:14:15.7509643Z [ 93%] Building CXX object re2/CMakeFiles/re2.dir/re2/set.cc.o 2024-06-26T05:14:15.8137517Z [ 93%] Building CXX object re2/CMakeFiles/re2.dir/re2/simplify.cc.o 2024-06-26T05:14:15.8146517Z [ 94%] Linking CXX static library libabsl_statusor.a 2024-06-26T05:14:15.8702276Z [ 94%] Built target statusor 2024-06-26T05:14:15.8776453Z [ 94%] Building CXX object re2/CMakeFiles/re2.dir/re2/tostring.cc.o 2024-06-26T05:14:15.9145783Z [ 95%] Building CXX object re2/CMakeFiles/re2.dir/re2/unicode_casefold.cc.o 2024-06-26T05:14:15.9308347Z [ 95%] Linking CXX static library libabsl_flags_usage.a 2024-06-26T05:14:15.9699350Z [ 95%] Built target flags_usage 2024-06-26T05:14:15.9759656Z [ 95%] Building CXX object re2/CMakeFiles/re2.dir/re2/unicode_groups.cc.o 2024-06-26T05:14:15.9889848Z [ 96%] Building CXX object abseil-cpp/absl/flags/CMakeFiles/flags_parse.dir/parse.cc.o 2024-06-26T05:14:15.9917753Z [ 97%] Building CXX object re2/CMakeFiles/re2.dir/util/rune.cc.o 2024-06-26T05:14:16.0115087Z [ 97%] Building CXX object re2/CMakeFiles/re2.dir/util/strutil.cc.o 2024-06-26T05:14:16.1276040Z [ 97%] Linking CXX static library libre2.a 2024-06-26T05:14:16.1755718Z [ 97%] Built target re2 2024-06-26T05:14:16.1897959Z [ 98%] Building CXX object CMakeFiles/tokenizer_test.dir/test_tiktoken.cpp.o 2024-06-26T05:14:16.1899917Z [ 99%] Building CXX object CMakeFiles/tokenizer_test.dir/test_bpe_tokenizer.cpp.o 2024-06-26T05:14:16.1901845Z [ 99%] Building CXX object CMakeFiles/tokenizer_test.dir/executorch/examples/models/llama2/tokenizer/tiktoken.cpp.o 2024-06-26T05:14:16.1920684Z [ 99%] Building CXX object CMakeFiles/tokenizer_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:14:16.1923484Z [ 99%] Building CXX object CMakeFiles/tokenizer_test.dir/executorch/examples/models/llama2/tokenizer/bpe_tokenizer.cpp.o 2024-06-26T05:14:16.2944472Z [ 99%] Linking CXX static library libabsl_flags_parse.a 2024-06-26T05:14:16.3293657Z [ 99%] Built target flags_parse 2024-06-26T05:14:16.5621572Z [100%] Linking CXX executable tokenizer_test 2024-06-26T05:14:17.9884651Z [100%] Built target tokenizer_test 2024-06-26T05:14:17.9970026Z + [[ examples/models/llama2/tokenizer/test =~ .*tokenizer.* ]] 2024-06-26T05:14:17.9972429Z ++ realpath examples/models/llama2/tokenizer/test/resources 2024-06-26T05:14:17.9981091Z + RESOURCES_PATH=/executorch/examples/models/llama2/tokenizer/test/resources 2024-06-26T05:14:17.9982139Z + export RESOURCES_PATH 2024-06-26T05:14:17.9982652Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:14:17.9983342Z + '[' -e cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test ']' 2024-06-26T05:14:17.9984921Z ++ basename cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test 2024-06-26T05:14:17.9992984Z + LLVM_PROFILE_FILE=cmake-out/tokenizer_test.profraw 2024-06-26T05:14:17.9993907Z + ./cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test 2024-06-26T05:14:18.0009296Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:14:18.0010219Z [==========] Running 10 tests from 2 test suites. 2024-06-26T05:14:18.0010805Z [----------] Global test environment set-up. 2024-06-26T05:14:18.0011658Z [----------] 6 tests from TiktokenExtensionTest 2024-06-26T05:14:18.0012361Z [ RUN ] TiktokenExtensionTest.EncodeWithoutLoadFails 2024-06-26T05:14:18.0013159Z [ OK ] TiktokenExtensionTest.EncodeWithoutLoadFails (0 ms) 2024-06-26T05:14:18.0013967Z [ RUN ] TiktokenExtensionTest.DecodeWithoutLoadFails 2024-06-26T05:14:18.0014775Z [ OK ] TiktokenExtensionTest.DecodeWithoutLoadFails (0 ms) 2024-06-26T05:14:18.0015603Z [ RUN ] TiktokenExtensionTest.TokenizerVocabSizeIsExpected 2024-06-26T05:14:18.2468987Z [ OK ] TiktokenExtensionTest.TokenizerVocabSizeIsExpected (245 ms) 2024-06-26T05:14:18.2469902Z [ RUN ] TiktokenExtensionTest.TokenizerEncodeCorrectly 2024-06-26T05:14:18.6161813Z [ OK ] TiktokenExtensionTest.TokenizerEncodeCorrectly (369 ms) 2024-06-26T05:14:18.6162796Z [ RUN ] TiktokenExtensionTest.TokenizerDecodeCorrectly 2024-06-26T05:14:18.8667650Z [ OK ] TiktokenExtensionTest.TokenizerDecodeCorrectly (250 ms) 2024-06-26T05:14:18.8668563Z [ RUN ] TiktokenExtensionTest.TokenizerDecodeOutOfRangeFails 2024-06-26T05:14:19.1127811Z [ OK ] TiktokenExtensionTest.TokenizerDecodeOutOfRangeFails (245 ms) 2024-06-26T05:14:19.1128708Z [----------] 6 tests from TiktokenExtensionTest (1111 ms total) 2024-06-26T05:14:19.1129128Z 2024-06-26T05:14:19.1129396Z [----------] 4 tests from TokenizerExtensionTest 2024-06-26T05:14:19.1130383Z [ RUN ] TokenizerExtensionTest.EncodeWithoutLoadFails 2024-06-26T05:14:19.1132743Z [ OK ] TokenizerExtensionTest.EncodeWithoutLoadFails (0 ms) 2024-06-26T05:14:19.1133568Z [ RUN ] TokenizerExtensionTest.DecodeWithoutLoadFails 2024-06-26T05:14:19.1138106Z [ OK ] TokenizerExtensionTest.DecodeWithoutLoadFails (0 ms) 2024-06-26T05:14:19.1138929Z [ RUN ] TokenizerExtensionTest.DecodeOutOfRangeFails 2024-06-26T05:14:19.1144782Z [ OK ] TokenizerExtensionTest.DecodeOutOfRangeFails (0 ms) 2024-06-26T05:14:19.1146028Z [ RUN ] TokenizerExtensionTest.TokenizerVocabSizeIsExpected 2024-06-26T05:14:19.1146930Z [ OK ] TokenizerExtensionTest.TokenizerVocabSizeIsExpected (0 ms) 2024-06-26T05:14:19.1147762Z [----------] 4 tests from TokenizerExtensionTest (1 ms total) 2024-06-26T05:14:19.1148187Z 2024-06-26T05:14:19.1148425Z [----------] Global test environment tear-down 2024-06-26T05:14:19.1149068Z [==========] 10 tests from 2 test suites ran. (1113 ms total) 2024-06-26T05:14:19.1149604Z [ PASSED ] 10 tests. 2024-06-26T05:14:19.1165636Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test' 2024-06-26T05:14:19.1167274Z + for test_dir in $(probe_tests) 2024-06-26T05:14:19.1167952Z + build_and_run_test extension/data_loader/test 2024-06-26T05:14:19.1168729Z + local test_dir=extension/data_loader/test 2024-06-26T05:14:19.1169135Z ++ pwd 2024-06-26T05:14:19.1172550Z + cmake extension/data_loader/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/extension/data_loader/test 2024-06-26T05:14:19.1926854Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:14:19.2947986Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:14:19.3000836Z -- Detecting C compiler ABI info 2024-06-26T05:14:19.4256441Z -- Detecting C compiler ABI info - done 2024-06-26T05:14:19.4319228Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:14:19.4321140Z -- Detecting C compile features 2024-06-26T05:14:19.4326405Z -- Detecting C compile features - done 2024-06-26T05:14:19.4359327Z -- Detecting CXX compiler ABI info 2024-06-26T05:14:19.5988612Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:14:19.6056019Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:14:19.6057709Z -- Detecting CXX compile features 2024-06-26T05:14:19.6063975Z -- Detecting CXX compile features - done 2024-06-26T05:14:19.6149467Z flatccrt_d library is not found. 2024-06-26T05:14:19.6150732Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:19.6152980Z mpsdelegate library is not found. 2024-06-26T05:14:19.6154180Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:19.6158450Z qnn_executorch_backend library is not found. 2024-06-26T05:14:19.6159713Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:19.6170779Z vulkan_backend library is not found. 2024-06-26T05:14:19.6171995Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:19.6182394Z quantized_ops_aot_lib library is not found. 2024-06-26T05:14:19.6183635Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:19.6198863Z -- Looking for pthread.h 2024-06-26T05:14:19.7329941Z -- Looking for pthread.h - found 2024-06-26T05:14:19.7331078Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:14:19.8498182Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:14:19.8506338Z -- Found Threads: TRUE 2024-06-26T05:14:19.8516593Z -- Configuring done 2024-06-26T05:14:19.8551475Z -- Generating done 2024-06-26T05:14:19.8566350Z -- Build files have been written to: /executorch/cmake-out/extension/data_loader/test 2024-06-26T05:14:19.8594278Z + cmake --build cmake-out/extension/data_loader/test -j9 2024-06-26T05:14:19.8896959Z [ 33%] Building CXX object CMakeFiles/extension_data_loader_test.dir/file_data_loader_test.cpp.o 2024-06-26T05:14:19.8898629Z [ 33%] Building CXX object CMakeFiles/extension_data_loader_test.dir/mmap_data_loader_test.cpp.o 2024-06-26T05:14:19.8905063Z [ 50%] Building CXX object CMakeFiles/extension_data_loader_test.dir/shared_ptr_data_loader_test.cpp.o 2024-06-26T05:14:19.8906811Z [ 66%] Building CXX object CMakeFiles/extension_data_loader_test.dir/buffer_data_loader_test.cpp.o 2024-06-26T05:14:19.8923756Z [ 83%] Building CXX object CMakeFiles/extension_data_loader_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:14:20.0985295Z /executorch/extension/data_loader/test/mmap_data_loader_test.cpp:321:48: warning: 'From' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:14:20.0986492Z Result mdl = MmapDataLoader::From(tf.path().c_str()); 2024-06-26T05:14:20.0987081Z ^ 2024-06-26T05:14:20.0988291Z /executorch/extension/data_loader/test/../../../../executorch/extension/data_loader/mmap_data_loader.h:59:3: note: 'From' has been explicitly marked deprecated here 2024-06-26T05:14:20.0989406Z __ET_DEPRECATED static Result From( 2024-06-26T05:14:20.0989866Z ^ 2024-06-26T05:14:20.0990772Z /executorch/extension/data_loader/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:14:20.1000372Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:14:20.1000924Z ^ 2024-06-26T05:14:20.1001267Z 1 warning generated. 2024-06-26T05:14:20.1918637Z /executorch/extension/data_loader/test/file_data_loader_test.cpp:198:23: warning: 'From' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:14:20.1919924Z FileDataLoader::From(tf.path().c_str(), alignment()); 2024-06-26T05:14:20.1920413Z ^ 2024-06-26T05:14:20.1921534Z /executorch/extension/data_loader/test/../../../../executorch/extension/data_loader/file_data_loader.h:48:3: note: 'From' has been explicitly marked deprecated here 2024-06-26T05:14:20.1922658Z __ET_DEPRECATED static Result From( 2024-06-26T05:14:20.1923119Z ^ 2024-06-26T05:14:20.1924284Z /executorch/extension/data_loader/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:14:20.1925260Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:14:20.1925648Z ^ 2024-06-26T05:14:20.1925983Z 1 warning generated. 2024-06-26T05:14:20.1974289Z [100%] Linking CXX executable extension_data_loader_test 2024-06-26T05:14:20.3203887Z /usr/bin/ld: CMakeFiles/extension_data_loader_test.dir/file_data_loader_test.cpp.o: in function `torch::executor::testing::TempFile::CreateFile(void const*, unsigned long, std::__cxx11::basic_string, std::allocator >*)': 2024-06-26T05:14:20.5589947Z /executorch/extension/data_loader/test/../../../../executorch/extension/testing_util/temp_file.h:68: warning: the use of `tmpnam' is dangerous, better use `mkstemp' 2024-06-26T05:14:20.5591083Z [100%] Built target extension_data_loader_test 2024-06-26T05:14:20.5652400Z + [[ extension/data_loader/test =~ .*tokenizer.* ]] 2024-06-26T05:14:20.5655100Z ++ realpath extension/module/test/resources 2024-06-26T05:14:20.5663380Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:14:20.5664108Z + export RESOURCES_PATH 2024-06-26T05:14:20.5664899Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:14:20.5666024Z + '[' -e cmake-out/extension/data_loader/test/extension_data_loader_test ']' 2024-06-26T05:14:20.5667781Z ++ basename cmake-out/extension/data_loader/test/extension_data_loader_test 2024-06-26T05:14:20.5676393Z + LLVM_PROFILE_FILE=cmake-out/extension_data_loader_test.profraw 2024-06-26T05:14:20.5677174Z + ./cmake-out/extension/data_loader/test/extension_data_loader_test 2024-06-26T05:14:20.5691523Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:14:20.5694920Z [==========] Running 48 tests from 4 test suites. 2024-06-26T05:14:20.5695562Z [----------] Global test environment set-up. 2024-06-26T05:14:20.5696184Z [----------] 2 tests from BufferDataLoaderTest 2024-06-26T05:14:20.5697001Z [ RUN ] BufferDataLoaderTest.InBoundsLoadsSucceed 2024-06-26T05:14:20.5697773Z [ OK ] BufferDataLoaderTest.InBoundsLoadsSucceed (0 ms) 2024-06-26T05:14:20.5698557Z [ RUN ] BufferDataLoaderTest.OutOfBoundsLoadFails 2024-06-26T05:14:20.5699416Z [ OK ] BufferDataLoaderTest.OutOfBoundsLoadFails (0 ms) 2024-06-26T05:14:20.5700251Z [----------] 2 tests from BufferDataLoaderTest (0 ms total) 2024-06-26T05:14:20.5700686Z 2024-06-26T05:14:20.5700984Z [----------] 2 tests from SharedPtrDataLoaderTest 2024-06-26T05:14:20.5701800Z [ RUN ] SharedPtrDataLoaderTest.InBoundsLoadsSucceed 2024-06-26T05:14:20.5702691Z [ OK ] SharedPtrDataLoaderTest.InBoundsLoadsSucceed (0 ms) 2024-06-26T05:14:20.5703574Z [ RUN ] SharedPtrDataLoaderTest.OutOfBoundsLoadFails 2024-06-26T05:14:20.5704664Z [ OK ] SharedPtrDataLoaderTest.OutOfBoundsLoadFails (0 ms) 2024-06-26T05:14:20.5705759Z [----------] 2 tests from SharedPtrDataLoaderTest (0 ms total) 2024-06-26T05:14:20.5706327Z 2024-06-26T05:14:20.5706618Z [----------] 8 tests from MmapDataLoaderTest 2024-06-26T05:14:20.5707321Z [ RUN ] MmapDataLoaderTest.InBoundsLoadsSucceedNoMlock 2024-06-26T05:14:20.5708451Z [ OK ] MmapDataLoaderTest.InBoundsLoadsSucceedNoMlock (0 ms) 2024-06-26T05:14:20.5709475Z [ RUN ] MmapDataLoaderTest.InBoundsLoadsSucceedUseMlock 2024-06-26T05:14:20.5710496Z [ OK ] MmapDataLoaderTest.InBoundsLoadsSucceedUseMlock (0 ms) 2024-06-26T05:14:20.5711661Z [ RUN ] MmapDataLoaderTest.InBoundsLoadsSucceedUseMlockIgnoreErrors 2024-06-26T05:14:20.5713406Z [ OK ] MmapDataLoaderTest.InBoundsLoadsSucceedUseMlockIgnoreErrors (0 ms) 2024-06-26T05:14:20.5715159Z [ RUN ] MmapDataLoaderTest.FinalPageOfUnevenFileSucceeds 2024-06-26T05:14:20.5717064Z [ OK ] MmapDataLoaderTest.FinalPageOfUnevenFileSucceeds (0 ms) 2024-06-26T05:14:20.5718778Z [ RUN ] MmapDataLoaderTest.OutOfBoundsLoadFails 2024-06-26T05:14:20.5720160Z [ OK ] MmapDataLoaderTest.OutOfBoundsLoadFails (0 ms) 2024-06-26T05:14:20.5721555Z [ RUN ] MmapDataLoaderTest.FromMissingFileFails 2024-06-26T05:14:20.5722909Z [ OK ] MmapDataLoaderTest.FromMissingFileFails (0 ms) 2024-06-26T05:14:20.5724154Z [ RUN ] MmapDataLoaderTest.MoveCtor 2024-06-26T05:14:20.5725287Z [ OK ] MmapDataLoaderTest.MoveCtor (0 ms) 2024-06-26T05:14:20.5726497Z [ RUN ] MmapDataLoaderTest.DEPRECATEDFrom 2024-06-26T05:14:20.5727813Z [ OK ] MmapDataLoaderTest.DEPRECATEDFrom (0 ms) 2024-06-26T05:14:20.5729096Z [----------] 8 tests from MmapDataLoaderTest (1 ms total) 2024-06-26T05:14:20.5729857Z 2024-06-26T05:14:20.5730427Z [----------] 36 tests from VariedSegments/FileDataLoaderTest 2024-06-26T05:14:20.5731922Z [ RUN ] VariedSegments/FileDataLoaderTest.InBoundsLoadsSucceed/0 2024-06-26T05:14:20.5733687Z [ OK ] VariedSegments/FileDataLoaderTest.InBoundsLoadsSucceed/0 (0 ms) 2024-06-26T05:14:20.5734678Z [ RUN ] VariedSegments/FileDataLoaderTest.InBoundsLoadsSucceed/1 2024-06-26T05:14:20.5735946Z [ OK ] VariedSegments/FileDataLoaderTest.InBoundsLoadsSucceed/1 (0 ms) 2024-06-26T05:14:20.5737602Z [ RUN ] VariedSegments/FileDataLoaderTest.InBoundsLoadsSucceed/2 2024-06-26T05:14:20.5738653Z [ OK ] VariedSegments/FileDataLoaderTest.InBoundsLoadsSucceed/2 (0 ms) 2024-06-26T05:14:20.5739568Z [ RUN ] VariedSegments/FileDataLoaderTest.InBoundsLoadsSucceed/3 2024-06-26T05:14:20.5740576Z [ OK ] VariedSegments/FileDataLoaderTest.InBoundsLoadsSucceed/3 (0 ms) 2024-06-26T05:14:20.5741480Z [ RUN ] VariedSegments/FileDataLoaderTest.InBoundsLoadsSucceed/4 2024-06-26T05:14:20.5742404Z [ OK ] VariedSegments/FileDataLoaderTest.InBoundsLoadsSucceed/4 (0 ms) 2024-06-26T05:14:20.5743322Z [ RUN ] VariedSegments/FileDataLoaderTest.InBoundsLoadsSucceed/5 2024-06-26T05:14:20.5744236Z [ OK ] VariedSegments/FileDataLoaderTest.InBoundsLoadsSucceed/5 (0 ms) 2024-06-26T05:14:20.5745136Z [ RUN ] VariedSegments/FileDataLoaderTest.OutOfBoundsLoadFails/0 2024-06-26T05:14:20.5746050Z [ OK ] VariedSegments/FileDataLoaderTest.OutOfBoundsLoadFails/0 (0 ms) 2024-06-26T05:14:20.5746972Z [ RUN ] VariedSegments/FileDataLoaderTest.OutOfBoundsLoadFails/1 2024-06-26T05:14:20.5747877Z [ OK ] VariedSegments/FileDataLoaderTest.OutOfBoundsLoadFails/1 (0 ms) 2024-06-26T05:14:20.5748799Z [ RUN ] VariedSegments/FileDataLoaderTest.OutOfBoundsLoadFails/2 2024-06-26T05:14:20.5749721Z [ OK ] VariedSegments/FileDataLoaderTest.OutOfBoundsLoadFails/2 (0 ms) 2024-06-26T05:14:20.5750623Z [ RUN ] VariedSegments/FileDataLoaderTest.OutOfBoundsLoadFails/3 2024-06-26T05:14:20.5751536Z [ OK ] VariedSegments/FileDataLoaderTest.OutOfBoundsLoadFails/3 (0 ms) 2024-06-26T05:14:20.5752444Z [ RUN ] VariedSegments/FileDataLoaderTest.OutOfBoundsLoadFails/4 2024-06-26T05:14:20.5753361Z [ OK ] VariedSegments/FileDataLoaderTest.OutOfBoundsLoadFails/4 (0 ms) 2024-06-26T05:14:20.5754261Z [ RUN ] VariedSegments/FileDataLoaderTest.OutOfBoundsLoadFails/5 2024-06-26T05:14:20.5755178Z [ OK ] VariedSegments/FileDataLoaderTest.OutOfBoundsLoadFails/5 (0 ms) 2024-06-26T05:14:20.5756091Z [ RUN ] VariedSegments/FileDataLoaderTest.FromMissingFileFails/0 2024-06-26T05:14:20.5757000Z [ OK ] VariedSegments/FileDataLoaderTest.FromMissingFileFails/0 (0 ms) 2024-06-26T05:14:20.5758086Z [ RUN ] VariedSegments/FileDataLoaderTest.FromMissingFileFails/1 2024-06-26T05:14:20.5759846Z [ OK ] VariedSegments/FileDataLoaderTest.FromMissingFileFails/1 (0 ms) 2024-06-26T05:14:20.5761379Z [ RUN ] VariedSegments/FileDataLoaderTest.FromMissingFileFails/2 2024-06-26T05:14:20.5762542Z [ OK ] VariedSegments/FileDataLoaderTest.FromMissingFileFails/2 (0 ms) 2024-06-26T05:14:20.5765970Z [ RUN ] VariedSegments/FileDataLoaderTest.FromMissingFileFails/3 2024-06-26T05:14:20.5766875Z [ OK ] VariedSegments/FileDataLoaderTest.FromMissingFileFails/3 (0 ms) 2024-06-26T05:14:20.5767789Z [ RUN ] VariedSegments/FileDataLoaderTest.FromMissingFileFails/4 2024-06-26T05:14:20.5768697Z [ OK ] VariedSegments/FileDataLoaderTest.FromMissingFileFails/4 (0 ms) 2024-06-26T05:14:20.5769592Z [ RUN ] VariedSegments/FileDataLoaderTest.FromMissingFileFails/5 2024-06-26T05:14:20.5770503Z [ OK ] VariedSegments/FileDataLoaderTest.FromMissingFileFails/5 (0 ms) 2024-06-26T05:14:20.5771399Z [ RUN ] VariedSegments/FileDataLoaderTest.BadAlignmentFails/0 2024-06-26T05:14:20.5772265Z [ OK ] VariedSegments/FileDataLoaderTest.BadAlignmentFails/0 (0 ms) 2024-06-26T05:14:20.5773128Z [ RUN ] VariedSegments/FileDataLoaderTest.BadAlignmentFails/1 2024-06-26T05:14:20.5774004Z [ OK ] VariedSegments/FileDataLoaderTest.BadAlignmentFails/1 (0 ms) 2024-06-26T05:14:20.5774908Z [ RUN ] VariedSegments/FileDataLoaderTest.BadAlignmentFails/2 2024-06-26T05:14:20.5775846Z [ OK ] VariedSegments/FileDataLoaderTest.BadAlignmentFails/2 (0 ms) 2024-06-26T05:14:20.5776716Z [ RUN ] VariedSegments/FileDataLoaderTest.BadAlignmentFails/3 2024-06-26T05:14:20.5777590Z [ OK ] VariedSegments/FileDataLoaderTest.BadAlignmentFails/3 (0 ms) 2024-06-26T05:14:20.5778441Z [ RUN ] VariedSegments/FileDataLoaderTest.BadAlignmentFails/4 2024-06-26T05:14:20.5779318Z [ OK ] VariedSegments/FileDataLoaderTest.BadAlignmentFails/4 (0 ms) 2024-06-26T05:14:20.5780280Z [ RUN ] VariedSegments/FileDataLoaderTest.BadAlignmentFails/5 2024-06-26T05:14:20.5781134Z [ OK ] VariedSegments/FileDataLoaderTest.BadAlignmentFails/5 (0 ms) 2024-06-26T05:14:20.5781942Z [ RUN ] VariedSegments/FileDataLoaderTest.MoveCtor/0 2024-06-26T05:14:20.5782710Z [ OK ] VariedSegments/FileDataLoaderTest.MoveCtor/0 (0 ms) 2024-06-26T05:14:20.5783446Z [ RUN ] VariedSegments/FileDataLoaderTest.MoveCtor/1 2024-06-26T05:14:20.5784208Z [ OK ] VariedSegments/FileDataLoaderTest.MoveCtor/1 (0 ms) 2024-06-26T05:14:20.5784957Z [ RUN ] VariedSegments/FileDataLoaderTest.MoveCtor/2 2024-06-26T05:14:20.5785711Z [ OK ] VariedSegments/FileDataLoaderTest.MoveCtor/2 (0 ms) 2024-06-26T05:14:20.5786448Z [ RUN ] VariedSegments/FileDataLoaderTest.MoveCtor/3 2024-06-26T05:14:20.5787207Z [ OK ] VariedSegments/FileDataLoaderTest.MoveCtor/3 (0 ms) 2024-06-26T05:14:20.5787960Z [ RUN ] VariedSegments/FileDataLoaderTest.MoveCtor/4 2024-06-26T05:14:20.5788700Z [ OK ] VariedSegments/FileDataLoaderTest.MoveCtor/4 (0 ms) 2024-06-26T05:14:20.5789445Z [ RUN ] VariedSegments/FileDataLoaderTest.MoveCtor/5 2024-06-26T05:14:20.5790225Z [ OK ] VariedSegments/FileDataLoaderTest.MoveCtor/5 (0 ms) 2024-06-26T05:14:20.5791013Z [ RUN ] VariedSegments/FileDataLoaderTest.DEPRECATEDFrom/0 2024-06-26T05:14:20.5791836Z [ OK ] VariedSegments/FileDataLoaderTest.DEPRECATEDFrom/0 (0 ms) 2024-06-26T05:14:20.5792660Z [ RUN ] VariedSegments/FileDataLoaderTest.DEPRECATEDFrom/1 2024-06-26T05:14:20.5793489Z [ OK ] VariedSegments/FileDataLoaderTest.DEPRECATEDFrom/1 (0 ms) 2024-06-26T05:14:20.5794300Z [ RUN ] VariedSegments/FileDataLoaderTest.DEPRECATEDFrom/2 2024-06-26T05:14:20.5795233Z [ OK ] VariedSegments/FileDataLoaderTest.DEPRECATEDFrom/2 (0 ms) 2024-06-26T05:14:20.5796059Z [ RUN ] VariedSegments/FileDataLoaderTest.DEPRECATEDFrom/3 2024-06-26T05:14:20.5796872Z [ OK ] VariedSegments/FileDataLoaderTest.DEPRECATEDFrom/3 (0 ms) 2024-06-26T05:14:20.5797693Z [ RUN ] VariedSegments/FileDataLoaderTest.DEPRECATEDFrom/4 2024-06-26T05:14:20.5798744Z [ OK ] VariedSegments/FileDataLoaderTest.DEPRECATEDFrom/4 (0 ms) 2024-06-26T05:14:20.5799549Z [ RUN ] VariedSegments/FileDataLoaderTest.DEPRECATEDFrom/5 2024-06-26T05:14:20.5800379Z [ OK ] VariedSegments/FileDataLoaderTest.DEPRECATEDFrom/5 (0 ms) 2024-06-26T05:14:20.5801234Z [----------] 36 tests from VariedSegments/FileDataLoaderTest (2 ms total) 2024-06-26T05:14:20.5801706Z 2024-06-26T05:14:20.5801959Z [----------] Global test environment tear-down 2024-06-26T05:14:20.5802574Z [==========] 48 tests from 4 test suites ran. (3 ms total) 2024-06-26T05:14:20.5803115Z [ PASSED ] 48 tests. 2024-06-26T05:14:20.5804750Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test' 2024-06-26T05:14:20.5806262Z + for test_dir in $(probe_tests) 2024-06-26T05:14:20.5806692Z + build_and_run_test extension/evalue_util/test 2024-06-26T05:14:20.5807169Z + local test_dir=extension/evalue_util/test 2024-06-26T05:14:20.5807629Z ++ pwd 2024-06-26T05:14:20.5809076Z + cmake extension/evalue_util/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/extension/evalue_util/test 2024-06-26T05:14:20.6513731Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:14:20.7532633Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:14:20.7588267Z -- Detecting C compiler ABI info 2024-06-26T05:14:20.8700541Z -- Detecting C compiler ABI info - done 2024-06-26T05:14:20.8761626Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:14:20.8763806Z -- Detecting C compile features 2024-06-26T05:14:20.8767807Z -- Detecting C compile features - done 2024-06-26T05:14:20.8799944Z -- Detecting CXX compiler ABI info 2024-06-26T05:14:21.0236877Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:14:21.0302721Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:14:21.0305023Z -- Detecting CXX compile features 2024-06-26T05:14:21.0309483Z -- Detecting CXX compile features - done 2024-06-26T05:14:21.0394654Z flatccrt_d library is not found. 2024-06-26T05:14:21.0395288Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:21.0398076Z mpsdelegate library is not found. 2024-06-26T05:14:21.0398725Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:21.0401652Z qnn_executorch_backend library is not found. 2024-06-26T05:14:21.0402316Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:21.0412928Z vulkan_backend library is not found. 2024-06-26T05:14:21.0413576Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:21.0423257Z quantized_ops_aot_lib library is not found. 2024-06-26T05:14:21.0423925Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:21.0439445Z -- Looking for pthread.h 2024-06-26T05:14:21.1587258Z -- Looking for pthread.h - found 2024-06-26T05:14:21.1588176Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:14:21.2737402Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:14:21.2744461Z -- Found Threads: TRUE 2024-06-26T05:14:21.2754968Z -- Configuring done 2024-06-26T05:14:21.2789312Z -- Generating done 2024-06-26T05:14:21.2803471Z -- Build files have been written to: /executorch/cmake-out/extension/evalue_util/test 2024-06-26T05:14:21.2831904Z + cmake --build cmake-out/extension/evalue_util/test -j9 2024-06-26T05:14:21.3121353Z [ 25%] Building CXX object CMakeFiles/extension_evalue_util_test.dir/print_evalue_test.cpp.o 2024-06-26T05:14:21.3137163Z [ 75%] Building CXX object CMakeFiles/extension_evalue_util_test.dir/executorch/extension/evalue_util/print_evalue.cpp.o 2024-06-26T05:14:21.3138936Z [ 75%] Building CXX object CMakeFiles/extension_evalue_util_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:14:21.5602347Z [100%] Linking CXX executable extension_evalue_util_test 2024-06-26T05:14:21.9027113Z [100%] Built target extension_evalue_util_test 2024-06-26T05:14:21.9087890Z + [[ extension/evalue_util/test =~ .*tokenizer.* ]] 2024-06-26T05:14:21.9090759Z ++ realpath extension/module/test/resources 2024-06-26T05:14:21.9098629Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:14:21.9099279Z + export RESOURCES_PATH 2024-06-26T05:14:21.9099852Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:14:21.9100510Z + '[' -e cmake-out/extension/evalue_util/test/extension_evalue_util_test ']' 2024-06-26T05:14:21.9102563Z ++ basename cmake-out/extension/evalue_util/test/extension_evalue_util_test 2024-06-26T05:14:21.9109970Z + LLVM_PROFILE_FILE=cmake-out/extension_evalue_util_test.profraw 2024-06-26T05:14:21.9110723Z + ./cmake-out/extension/evalue_util/test/extension_evalue_util_test 2024-06-26T05:14:21.9127968Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:14:21.9130621Z [==========] Running 50 tests from 1 test suite. 2024-06-26T05:14:21.9132117Z [----------] Global test environment set-up. 2024-06-26T05:14:21.9133227Z [----------] 50 tests from PrintEvalueTest 2024-06-26T05:14:21.9134156Z [ RUN ] PrintEvalueTest.None 2024-06-26T05:14:21.9134987Z [ OK ] PrintEvalueTest.None (0 ms) 2024-06-26T05:14:21.9135722Z [ RUN ] PrintEvalueTest.TrueBool 2024-06-26T05:14:21.9136599Z [ OK ] PrintEvalueTest.TrueBool (0 ms) 2024-06-26T05:14:21.9137506Z [ RUN ] PrintEvalueTest.FalseBool 2024-06-26T05:14:21.9138552Z [ OK ] PrintEvalueTest.FalseBool (0 ms) 2024-06-26T05:14:21.9139586Z [ RUN ] PrintEvalueTest.ZeroInt 2024-06-26T05:14:21.9140346Z [ OK ] PrintEvalueTest.ZeroInt (0 ms) 2024-06-26T05:14:21.9141103Z [ RUN ] PrintEvalueTest.PositiveInt 2024-06-26T05:14:21.9142095Z [ OK ] PrintEvalueTest.PositiveInt (0 ms) 2024-06-26T05:14:21.9142751Z [ RUN ] PrintEvalueTest.NegativeInt 2024-06-26T05:14:21.9143762Z [ OK ] PrintEvalueTest.NegativeInt (0 ms) 2024-06-26T05:14:21.9144494Z [ RUN ] PrintEvalueTest.LargePositiveInt 2024-06-26T05:14:21.9145387Z [ OK ] PrintEvalueTest.LargePositiveInt (0 ms) 2024-06-26T05:14:21.9146307Z [ RUN ] PrintEvalueTest.LargeNegativeInt 2024-06-26T05:14:21.9147159Z [ OK ] PrintEvalueTest.LargeNegativeInt (0 ms) 2024-06-26T05:14:21.9148184Z [ RUN ] PrintEvalueTest.ZeroDouble 2024-06-26T05:14:21.9148856Z [ OK ] PrintEvalueTest.ZeroDouble (0 ms) 2024-06-26T05:14:21.9149475Z [ RUN ] PrintEvalueTest.PositiveZeroDouble 2024-06-26T05:14:21.9150653Z [ OK ] PrintEvalueTest.PositiveZeroDouble (0 ms) 2024-06-26T05:14:21.9151904Z [ RUN ] PrintEvalueTest.NegativeZeroDouble 2024-06-26T05:14:21.9153082Z [ OK ] PrintEvalueTest.NegativeZeroDouble (0 ms) 2024-06-26T05:14:21.9153878Z [ RUN ] PrintEvalueTest.PositiveIntegralDouble 2024-06-26T05:14:21.9154899Z [ OK ] PrintEvalueTest.PositiveIntegralDouble (0 ms) 2024-06-26T05:14:21.9155885Z [ RUN ] PrintEvalueTest.PositiveFractionalDouble 2024-06-26T05:14:21.9156831Z [ OK ] PrintEvalueTest.PositiveFractionalDouble (0 ms) 2024-06-26T05:14:21.9157580Z [ RUN ] PrintEvalueTest.NegativeIntegralDouble 2024-06-26T05:14:21.9158751Z [ OK ] PrintEvalueTest.NegativeIntegralDouble (0 ms) 2024-06-26T05:14:21.9160008Z [ RUN ] PrintEvalueTest.NegativeFractionalDouble 2024-06-26T05:14:21.9161279Z [ OK ] PrintEvalueTest.NegativeFractionalDouble (0 ms) 2024-06-26T05:14:21.9162369Z [ RUN ] PrintEvalueTest.PositiveInfinityDouble 2024-06-26T05:14:21.9163264Z [ OK ] PrintEvalueTest.PositiveInfinityDouble (0 ms) 2024-06-26T05:14:21.9164002Z [ RUN ] PrintEvalueTest.NegativeInfinityDouble 2024-06-26T05:14:21.9164728Z [ OK ] PrintEvalueTest.NegativeInfinityDouble (0 ms) 2024-06-26T05:14:21.9165366Z [ RUN ] PrintEvalueTest.NaNDouble 2024-06-26T05:14:21.9165946Z [ OK ] PrintEvalueTest.NaNDouble (0 ms) 2024-06-26T05:14:21.9166549Z [ RUN ] PrintEvalueTest.EmptyString 2024-06-26T05:14:21.9167140Z [ OK ] PrintEvalueTest.EmptyString (0 ms) 2024-06-26T05:14:21.9167737Z [ RUN ] PrintEvalueTest.BasicString 2024-06-26T05:14:21.9168328Z [ OK ] PrintEvalueTest.BasicString (0 ms) 2024-06-26T05:14:21.9168917Z [ RUN ] PrintEvalueTest.EscapedString 2024-06-26T05:14:21.9169544Z [ OK ] PrintEvalueTest.EscapedString (0 ms) 2024-06-26T05:14:21.9170146Z [ RUN ] PrintEvalueTest.BoolTensor 2024-06-26T05:14:21.9170819Z [ OK ] PrintEvalueTest.BoolTensor (0 ms) 2024-06-26T05:14:21.9171393Z [ RUN ] PrintEvalueTest.ByteTensor 2024-06-26T05:14:21.9171984Z [ OK ] PrintEvalueTest.ByteTensor (0 ms) 2024-06-26T05:14:21.9172568Z [ RUN ] PrintEvalueTest.CharTensor 2024-06-26T05:14:21.9173136Z [ OK ] PrintEvalueTest.CharTensor (0 ms) 2024-06-26T05:14:21.9173728Z [ RUN ] PrintEvalueTest.ShortTensor 2024-06-26T05:14:21.9174336Z [ OK ] PrintEvalueTest.ShortTensor (0 ms) 2024-06-26T05:14:21.9174914Z [ RUN ] PrintEvalueTest.IntTensor 2024-06-26T05:14:21.9175496Z [ OK ] PrintEvalueTest.IntTensor (0 ms) 2024-06-26T05:14:21.9176081Z [ RUN ] PrintEvalueTest.LongTensor 2024-06-26T05:14:21.9176658Z [ OK ] PrintEvalueTest.LongTensor (0 ms) 2024-06-26T05:14:21.9177246Z [ RUN ] PrintEvalueTest.FloatTensor 2024-06-26T05:14:21.9177855Z [ OK ] PrintEvalueTest.FloatTensor (0 ms) 2024-06-26T05:14:21.9178444Z [ RUN ] PrintEvalueTest.DoubleTensor 2024-06-26T05:14:21.9179053Z [ OK ] PrintEvalueTest.DoubleTensor (0 ms) 2024-06-26T05:14:21.9179689Z [ RUN ] PrintEvalueTest.UnelidedBoolLists 2024-06-26T05:14:21.9180433Z [ OK ] PrintEvalueTest.UnelidedBoolLists (0 ms) 2024-06-26T05:14:21.9181092Z [ RUN ] PrintEvalueTest.ElidedBoolLists 2024-06-26T05:14:21.9181745Z [ OK ] PrintEvalueTest.ElidedBoolLists (0 ms) 2024-06-26T05:14:21.9182382Z [ RUN ] PrintEvalueTest.UnelidedIntLists 2024-06-26T05:14:21.9183063Z [ OK ] PrintEvalueTest.UnelidedIntLists (0 ms) 2024-06-26T05:14:21.9183700Z [ RUN ] PrintEvalueTest.ElidedIntLists 2024-06-26T05:14:21.9184341Z [ OK ] PrintEvalueTest.ElidedIntLists (0 ms) 2024-06-26T05:14:21.9184989Z [ RUN ] PrintEvalueTest.UnelidedDoubleLists 2024-06-26T05:14:21.9185680Z [ OK ] PrintEvalueTest.UnelidedDoubleLists (0 ms) 2024-06-26T05:14:21.9186360Z [ RUN ] PrintEvalueTest.ElidedDoubleLists 2024-06-26T05:14:21.9187019Z [ OK ] PrintEvalueTest.ElidedDoubleLists (0 ms) 2024-06-26T05:14:21.9187745Z [ RUN ] PrintEvalueTest.EmptyTensorListIsOnOneLine 2024-06-26T05:14:21.9188523Z [ OK ] PrintEvalueTest.EmptyTensorListIsOnOneLine (0 ms) 2024-06-26T05:14:21.9189447Z [ RUN ] PrintEvalueTest.SingleTensorListIsOnOneLine 2024-06-26T05:14:21.9190231Z [ OK ] PrintEvalueTest.SingleTensorListIsOnOneLine (0 ms) 2024-06-26T05:14:21.9191048Z [ RUN ] PrintEvalueTest.AllTensorListEntriesArePrinted 2024-06-26T05:14:21.9191887Z [ OK ] PrintEvalueTest.AllTensorListEntriesArePrinted (0 ms) 2024-06-26T05:14:21.9192777Z [ RUN ] PrintEvalueTest.EmptyListOptionalTensorIsOnOneLine 2024-06-26T05:14:21.9193664Z [ OK ] PrintEvalueTest.EmptyListOptionalTensorIsOnOneLine (0 ms) 2024-06-26T05:14:21.9194555Z [ RUN ] PrintEvalueTest.SingleListOptionalTensorIsOnOneLine 2024-06-26T05:14:21.9195438Z [ OK ] PrintEvalueTest.SingleListOptionalTensorIsOnOneLine (0 ms) 2024-06-26T05:14:21.9196355Z [ RUN ] PrintEvalueTest.AllListOptionalTensorEntriesArePrinted 2024-06-26T05:14:21.9197319Z [ OK ] PrintEvalueTest.AllListOptionalTensorEntriesArePrinted (0 ms) 2024-06-26T05:14:21.9198579Z [ RUN ] PrintEvalueTest.UnknownTag 2024-06-26T05:14:21.9199167Z [ OK ] PrintEvalueTest.UnknownTag (0 ms) 2024-06-26T05:14:21.9199797Z [ RUN ] PrintEvalueTest.EdgeItemsOverride 2024-06-26T05:14:21.9200471Z [ OK ] PrintEvalueTest.EdgeItemsOverride (0 ms) 2024-06-26T05:14:21.9201135Z [ RUN ] PrintEvalueTest.EdgeItemsDefaults 2024-06-26T05:14:21.9201808Z [ OK ] PrintEvalueTest.EdgeItemsDefaults (0 ms) 2024-06-26T05:14:21.9202495Z [ RUN ] PrintEvalueTest.EdgeItemsSingleStream 2024-06-26T05:14:21.9203258Z [ OK ] PrintEvalueTest.EdgeItemsSingleStream (0 ms) 2024-06-26T05:14:21.9204003Z [ RUN ] PrintEvalueTest.EdgeItemsAffectsTensorData 2024-06-26T05:14:21.9204782Z [ OK ] PrintEvalueTest.EdgeItemsAffectsTensorData (0 ms) 2024-06-26T05:14:21.9205462Z [ RUN ] PrintEvalueTest.ListWrapping 2024-06-26T05:14:21.9206086Z [ OK ] PrintEvalueTest.ListWrapping (0 ms) 2024-06-26T05:14:21.9206729Z [ RUN ] PrintEvalueTest.WrappedTensorData 2024-06-26T05:14:21.9207386Z [ OK ] PrintEvalueTest.WrappedTensorData (0 ms) 2024-06-26T05:14:21.9208057Z [ RUN ] PrintEvalueTest.WrappedTensorSizes 2024-06-26T05:14:21.9208737Z [ OK ] PrintEvalueTest.WrappedTensorSizes (0 ms) 2024-06-26T05:14:21.9209411Z [ RUN ] PrintEvalueTest.WrappedTensorLists 2024-06-26T05:14:21.9210088Z [ OK ] PrintEvalueTest.WrappedTensorLists (0 ms) 2024-06-26T05:14:21.9210779Z [----------] 50 tests from PrintEvalueTest (1 ms total) 2024-06-26T05:14:21.9211165Z 2024-06-26T05:14:21.9211416Z [----------] Global test environment tear-down 2024-06-26T05:14:21.9212023Z [==========] 50 tests from 1 test suite ran. (2 ms total) 2024-06-26T05:14:21.9212556Z [ PASSED ] 50 tests. 2024-06-26T05:14:21.9214629Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test' 2024-06-26T05:14:21.9216627Z + for test_dir in $(probe_tests) 2024-06-26T05:14:21.9217041Z + build_and_run_test extension/kernel_util/test 2024-06-26T05:14:21.9217524Z + local test_dir=extension/kernel_util/test 2024-06-26T05:14:21.9217930Z ++ pwd 2024-06-26T05:14:21.9219367Z + cmake extension/kernel_util/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/extension/kernel_util/test 2024-06-26T05:14:21.9913694Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:14:22.0948855Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:14:22.1002210Z -- Detecting C compiler ABI info 2024-06-26T05:14:22.2109067Z -- Detecting C compiler ABI info - done 2024-06-26T05:14:22.2170664Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:14:22.2172704Z -- Detecting C compile features 2024-06-26T05:14:22.2176727Z -- Detecting C compile features - done 2024-06-26T05:14:22.2209309Z -- Detecting CXX compiler ABI info 2024-06-26T05:14:22.3665558Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:14:22.3731854Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:14:22.3733918Z -- Detecting CXX compile features 2024-06-26T05:14:22.3738734Z -- Detecting CXX compile features - done 2024-06-26T05:14:22.3822169Z flatccrt_d library is not found. 2024-06-26T05:14:22.3823089Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:22.3825944Z mpsdelegate library is not found. 2024-06-26T05:14:22.3826844Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:22.3829725Z qnn_executorch_backend library is not found. 2024-06-26T05:14:22.3830620Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:22.3841154Z vulkan_backend library is not found. 2024-06-26T05:14:22.3842060Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:22.3851637Z quantized_ops_aot_lib library is not found. 2024-06-26T05:14:22.3852561Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:22.3866705Z -- Looking for pthread.h 2024-06-26T05:14:22.5049491Z -- Looking for pthread.h - found 2024-06-26T05:14:22.5050482Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:14:22.6191156Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:14:22.6199178Z -- Found Threads: TRUE 2024-06-26T05:14:22.6209078Z -- Configuring done 2024-06-26T05:14:22.6240736Z -- Generating done 2024-06-26T05:14:22.6254416Z -- Build files have been written to: /executorch/cmake-out/extension/kernel_util/test 2024-06-26T05:14:22.6283003Z + cmake --build cmake-out/extension/kernel_util/test -j9 2024-06-26T05:14:22.6577942Z [ 33%] Building CXX object CMakeFiles/extension_kernel_util_test.dir/make_boxed_from_unboxed_functor_test.cpp.o 2024-06-26T05:14:22.6580403Z [ 66%] Building CXX object CMakeFiles/extension_kernel_util_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:14:22.9024825Z [100%] Linking CXX executable extension_kernel_util_test 2024-06-26T05:14:23.1386643Z [100%] Built target extension_kernel_util_test 2024-06-26T05:14:23.1447407Z + [[ extension/kernel_util/test =~ .*tokenizer.* ]] 2024-06-26T05:14:23.1449453Z ++ realpath extension/module/test/resources 2024-06-26T05:14:23.1457521Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:14:23.1458145Z + export RESOURCES_PATH 2024-06-26T05:14:23.1458652Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:14:23.1459348Z + '[' -e cmake-out/extension/kernel_util/test/extension_kernel_util_test ']' 2024-06-26T05:14:23.1461576Z ++ basename cmake-out/extension/kernel_util/test/extension_kernel_util_test 2024-06-26T05:14:23.1470015Z + LLVM_PROFILE_FILE=cmake-out/extension_kernel_util_test.profraw 2024-06-26T05:14:23.1470807Z + ./cmake-out/extension/kernel_util/test/extension_kernel_util_test 2024-06-26T05:14:23.1484153Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:14:23.1486685Z [==========] Running 5 tests from 1 test suite. 2024-06-26T05:14:23.1487282Z [----------] Global test environment set-up. 2024-06-26T05:14:23.1488183Z [----------] 5 tests from MakeBoxedFromUnboxedFunctorTest 2024-06-26T05:14:23.1488977Z [ RUN ] MakeBoxedFromUnboxedFunctorTest.Basic 2024-06-26T05:14:23.1490202Z [ OK ] MakeBoxedFromUnboxedFunctorTest.Basic (0 ms) 2024-06-26T05:14:23.1491519Z [ RUN ] MakeBoxedFromUnboxedFunctorTest.UnboxLogicWorks 2024-06-26T05:14:23.1493040Z [ OK ] MakeBoxedFromUnboxedFunctorTest.UnboxLogicWorks (0 ms) 2024-06-26T05:14:23.1493961Z [ RUN ] MakeBoxedFromUnboxedFunctorTest.UnboxArrayRef 2024-06-26T05:14:23.1494863Z [ OK ] MakeBoxedFromUnboxedFunctorTest.UnboxArrayRef (0 ms) 2024-06-26T05:14:23.1495688Z [ RUN ] MakeBoxedFromUnboxedFunctorTest.UnboxOptional 2024-06-26T05:14:23.1496587Z [ OK ] MakeBoxedFromUnboxedFunctorTest.UnboxOptional (0 ms) 2024-06-26T05:14:23.1497481Z [ RUN ] MakeBoxedFromUnboxedFunctorTest.UnboxOptionalArrayRef 2024-06-26T05:14:23.1498429Z [ OK ] MakeBoxedFromUnboxedFunctorTest.UnboxOptionalArrayRef (0 ms) 2024-06-26T05:14:23.1499332Z [----------] 5 tests from MakeBoxedFromUnboxedFunctorTest (0 ms total) 2024-06-26T05:14:23.1499886Z 2024-06-26T05:14:23.1500131Z [----------] Global test environment tear-down 2024-06-26T05:14:23.1500753Z [==========] 5 tests from 1 test suite ran. (0 ms total) 2024-06-26T05:14:23.1501283Z [ PASSED ] 5 tests. 2024-06-26T05:14:23.1503818Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test' 2024-06-26T05:14:23.1506145Z + for test_dir in $(probe_tests) 2024-06-26T05:14:23.1506596Z + build_and_run_test extension/memory_allocator/test 2024-06-26T05:14:23.1507165Z + local test_dir=extension/memory_allocator/test 2024-06-26T05:14:23.1507600Z ++ pwd 2024-06-26T05:14:23.1509125Z + cmake extension/memory_allocator/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/extension/memory_allocator/test 2024-06-26T05:14:23.2240301Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:14:23.3254117Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:14:23.3306803Z -- Detecting C compiler ABI info 2024-06-26T05:14:23.4416380Z -- Detecting C compiler ABI info - done 2024-06-26T05:14:23.4478163Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:14:23.4479958Z -- Detecting C compile features 2024-06-26T05:14:23.4483737Z -- Detecting C compile features - done 2024-06-26T05:14:23.4516098Z -- Detecting CXX compiler ABI info 2024-06-26T05:14:23.5954964Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:14:23.6020199Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:14:23.6022532Z -- Detecting CXX compile features 2024-06-26T05:14:23.6027748Z -- Detecting CXX compile features - done 2024-06-26T05:14:23.6111112Z flatccrt_d library is not found. 2024-06-26T05:14:23.6111806Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:23.6114411Z mpsdelegate library is not found. 2024-06-26T05:14:23.6115047Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:23.6117714Z qnn_executorch_backend library is not found. 2024-06-26T05:14:23.6118740Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:23.6129947Z vulkan_backend library is not found. 2024-06-26T05:14:23.6130592Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:23.6140301Z quantized_ops_aot_lib library is not found. 2024-06-26T05:14:23.6140991Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:23.6155760Z -- Looking for pthread.h 2024-06-26T05:14:23.7300670Z -- Looking for pthread.h - found 2024-06-26T05:14:23.7301891Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:14:23.8469216Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:14:23.8477471Z -- Found Threads: TRUE 2024-06-26T05:14:23.8487399Z -- Configuring done 2024-06-26T05:14:23.8518713Z -- Generating done 2024-06-26T05:14:23.8533198Z -- Build files have been written to: /executorch/cmake-out/extension/memory_allocator/test 2024-06-26T05:14:23.8562046Z + cmake --build cmake-out/extension/memory_allocator/test -j9 2024-06-26T05:14:23.8860949Z [ 33%] Building CXX object CMakeFiles/extension_memory_allocator_test.dir/malloc_memory_allocator_test.cpp.o 2024-06-26T05:14:23.8883123Z [ 66%] Building CXX object CMakeFiles/extension_memory_allocator_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:14:24.0756418Z [100%] Linking CXX executable extension_memory_allocator_test 2024-06-26T05:14:24.2672190Z [100%] Built target extension_memory_allocator_test 2024-06-26T05:14:24.2730966Z + [[ extension/memory_allocator/test =~ .*tokenizer.* ]] 2024-06-26T05:14:24.2733643Z ++ realpath extension/module/test/resources 2024-06-26T05:14:24.2742215Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:14:24.2742773Z + export RESOURCES_PATH 2024-06-26T05:14:24.2743270Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:14:24.2743987Z + '[' -e cmake-out/extension/memory_allocator/test/extension_memory_allocator_test ']' 2024-06-26T05:14:24.2745380Z ++ basename cmake-out/extension/memory_allocator/test/extension_memory_allocator_test 2024-06-26T05:14:24.2752740Z + LLVM_PROFILE_FILE=cmake-out/extension_memory_allocator_test.profraw 2024-06-26T05:14:24.2753587Z + ./cmake-out/extension/memory_allocator/test/extension_memory_allocator_test 2024-06-26T05:14:24.2767655Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:14:24.2769161Z [==========] Running 5 tests from 1 test suite. 2024-06-26T05:14:24.2769736Z [----------] Global test environment set-up. 2024-06-26T05:14:24.2770550Z [----------] 5 tests from MallocMemoryAllocatorTest 2024-06-26T05:14:24.2771729Z [ RUN ] MallocMemoryAllocatorTest.IsAlignedTest 2024-06-26T05:14:24.2772649Z [ OK ] MallocMemoryAllocatorTest.IsAlignedTest (0 ms) 2024-06-26T05:14:24.2773475Z [ RUN ] MallocMemoryAllocatorTest.SimpleAllocateSucceeds 2024-06-26T05:14:24.2774766Z [ OK ] MallocMemoryAllocatorTest.SimpleAllocateSucceeds (0 ms) 2024-06-26T05:14:24.2775907Z [ RUN ] MallocMemoryAllocatorTest.AlignmentSmokeTest 2024-06-26T05:14:24.2776732Z [ OK ] MallocMemoryAllocatorTest.AlignmentSmokeTest (0 ms) 2024-06-26T05:14:24.2777564Z [ RUN ] MallocMemoryAllocatorTest.BadAlignmentFails 2024-06-26T05:14:24.2778493Z [ OK ] MallocMemoryAllocatorTest.BadAlignmentFails (0 ms) 2024-06-26T05:14:24.2779252Z [ RUN ] MallocMemoryAllocatorTest.ResetSucceeds 2024-06-26T05:14:24.2780162Z [ OK ] MallocMemoryAllocatorTest.ResetSucceeds (0 ms) 2024-06-26T05:14:24.2781406Z [----------] 5 tests from MallocMemoryAllocatorTest (0 ms total) 2024-06-26T05:14:24.2782124Z 2024-06-26T05:14:24.2782537Z [----------] Global test environment tear-down 2024-06-26T05:14:24.2783611Z [==========] 5 tests from 1 test suite ran. (0 ms total) 2024-06-26T05:14:24.2784541Z [ PASSED ] 5 tests. 2024-06-26T05:14:24.2790344Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test' 2024-06-26T05:14:24.2795756Z + for test_dir in $(probe_tests) 2024-06-26T05:14:24.2796442Z + build_and_run_test extension/module/test 2024-06-26T05:14:24.2797217Z + local test_dir=extension/module/test 2024-06-26T05:14:24.2798178Z ++ pwd 2024-06-26T05:14:24.2800911Z + cmake extension/module/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/extension/module/test 2024-06-26T05:14:24.3535012Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:14:24.4532416Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:14:24.4585171Z -- Detecting C compiler ABI info 2024-06-26T05:14:24.5716658Z -- Detecting C compiler ABI info - done 2024-06-26T05:14:24.5777326Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:14:24.5779514Z -- Detecting C compile features 2024-06-26T05:14:24.5783749Z -- Detecting C compile features - done 2024-06-26T05:14:24.5815706Z -- Detecting CXX compiler ABI info 2024-06-26T05:14:24.7353076Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:14:24.7418628Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:14:24.7421047Z -- Detecting CXX compile features 2024-06-26T05:14:24.7425953Z -- Detecting CXX compile features - done 2024-06-26T05:14:24.7509623Z flatccrt_d library is not found. 2024-06-26T05:14:24.7510535Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:24.7513164Z mpsdelegate library is not found. 2024-06-26T05:14:24.7514061Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:24.7516748Z qnn_executorch_backend library is not found. 2024-06-26T05:14:24.7517646Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:24.7528245Z vulkan_backend library is not found. 2024-06-26T05:14:24.7529101Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:24.7538367Z quantized_ops_aot_lib library is not found. 2024-06-26T05:14:24.7539260Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:24.7553575Z -- Looking for pthread.h 2024-06-26T05:14:24.8665438Z -- Looking for pthread.h - found 2024-06-26T05:14:24.8666571Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:14:24.9789881Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:14:24.9797775Z -- Found Threads: TRUE 2024-06-26T05:14:24.9807788Z -- Configuring done 2024-06-26T05:14:24.9839759Z -- Generating done 2024-06-26T05:14:24.9854550Z -- Build files have been written to: /executorch/cmake-out/extension/module/test 2024-06-26T05:14:24.9883413Z + cmake --build cmake-out/extension/module/test -j9 2024-06-26T05:14:25.0169126Z [ 33%] Building CXX object CMakeFiles/extension_module_test.dir/module_test.cpp.o 2024-06-26T05:14:25.0170886Z [ 66%] Building CXX object CMakeFiles/extension_module_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:14:25.2738609Z [100%] Linking CXX executable extension_module_test 2024-06-26T05:14:32.2415431Z [100%] Built target extension_module_test 2024-06-26T05:14:32.2474077Z + [[ extension/module/test =~ .*tokenizer.* ]] 2024-06-26T05:14:32.2476341Z ++ realpath extension/module/test/resources 2024-06-26T05:14:32.2485053Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:14:32.2485601Z + export RESOURCES_PATH 2024-06-26T05:14:32.2486099Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:14:32.2486736Z + '[' -e cmake-out/extension/module/test/extension_module_test ']' 2024-06-26T05:14:32.2488211Z ++ basename cmake-out/extension/module/test/extension_module_test 2024-06-26T05:14:32.2495880Z + LLVM_PROFILE_FILE=cmake-out/extension_module_test.profraw 2024-06-26T05:14:32.2496584Z + ./cmake-out/extension/module/test/extension_module_test 2024-06-26T05:14:32.2511871Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:14:32.2512665Z [==========] Running 17 tests from 1 test suite. 2024-06-26T05:14:32.2513250Z [----------] Global test environment set-up. 2024-06-26T05:14:32.2514027Z [----------] 17 tests from ModuleTest 2024-06-26T05:14:32.2514520Z [ RUN ] ModuleTest.TestLoad 2024-06-26T05:14:32.2520701Z [ OK ] ModuleTest.TestLoad (0 ms) 2024-06-26T05:14:32.2521532Z [ RUN ] ModuleTest.TestLoadNonExistent 2024-06-26T05:14:32.2522384Z [ OK ] ModuleTest.TestLoadNonExistent (0 ms) 2024-06-26T05:14:32.2523419Z [ RUN ] ModuleTest.TestLoadCorruptedFile 2024-06-26T05:14:32.2524082Z [ OK ] ModuleTest.TestLoadCorruptedFile (0 ms) 2024-06-26T05:14:32.2524817Z [ RUN ] ModuleTest.TestMethodNames 2024-06-26T05:14:32.2525493Z [ OK ] ModuleTest.TestMethodNames (0 ms) 2024-06-26T05:14:32.2526605Z [ RUN ] ModuleTest.TestNonExistentMethodNames 2024-06-26T05:14:32.2527638Z [ OK ] ModuleTest.TestNonExistentMethodNames (0 ms) 2024-06-26T05:14:32.2528795Z [ RUN ] ModuleTest.TestLoadMethod 2024-06-26T05:14:32.2529735Z [ OK ] ModuleTest.TestLoadMethod (0 ms) 2024-06-26T05:14:32.2530857Z [ RUN ] ModuleTest.TestLoadNonExistentMethod 2024-06-26T05:14:32.2532107Z [ OK ] ModuleTest.TestLoadNonExistentMethod (0 ms) 2024-06-26T05:14:32.2533307Z [ RUN ] ModuleTest.TestMethodMeta 2024-06-26T05:14:32.2534309Z [ OK ] ModuleTest.TestMethodMeta (0 ms) 2024-06-26T05:14:32.2534964Z [ RUN ] ModuleTest.TestNonExistentMethodMeta 2024-06-26T05:14:32.2535644Z [ OK ] ModuleTest.TestNonExistentMethodMeta (0 ms) 2024-06-26T05:14:32.2536351Z [ RUN ] ModuleTest.TestExecute 2024-06-26T05:14:32.2536901Z [ OK ] ModuleTest.TestExecute (0 ms) 2024-06-26T05:14:32.2537476Z [ RUN ] ModuleTest.TestExecutePreload 2024-06-26T05:14:32.2538102Z [ OK ] ModuleTest.TestExecutePreload (0 ms) 2024-06-26T05:14:32.2538758Z [ RUN ] ModuleTest.TestExecutePreload_method 2024-06-26T05:14:32.2539428Z [ OK ] ModuleTest.TestExecutePreload_method (0 ms) 2024-06-26T05:14:32.2540256Z [ RUN ] ModuleTest.TestExecutePreloadProgramAndMethod 2024-06-26T05:14:32.2541077Z [ OK ] ModuleTest.TestExecutePreloadProgramAndMethod (0 ms) 2024-06-26T05:14:32.2541816Z [ RUN ] ModuleTest.TestExecuteOnNonExistent 2024-06-26T05:14:32.2542512Z [ OK ] ModuleTest.TestExecuteOnNonExistent (0 ms) 2024-06-26T05:14:32.2543186Z [ RUN ] ModuleTest.TestExecuteOnCurrupted 2024-06-26T05:14:32.2543841Z [ OK ] ModuleTest.TestExecuteOnCurrupted (0 ms) 2024-06-26T05:14:32.2544443Z [ RUN ] ModuleTest.TestForward 2024-06-26T05:14:32.2544993Z [ OK ] ModuleTest.TestForward (0 ms) 2024-06-26T05:14:32.2545632Z [ RUN ] ModuleTest.TestForwardWithInvalidInputs 2024-06-26T05:14:32.2546358Z [ OK ] ModuleTest.TestForwardWithInvalidInputs (0 ms) 2024-06-26T05:14:32.2547062Z [----------] 17 tests from ModuleTest (1 ms total) 2024-06-26T05:14:32.2547424Z 2024-06-26T05:14:32.2547678Z [----------] Global test environment tear-down 2024-06-26T05:14:32.2548281Z [==========] 17 tests from 1 test suite ran. (1 ms total) 2024-06-26T05:14:32.2548817Z [ PASSED ] 17 tests. 2024-06-26T05:14:32.2593970Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test' 2024-06-26T05:14:32.2597614Z + for test_dir in $(probe_tests) 2024-06-26T05:14:32.2598688Z + build_and_run_test extension/parallel/test 2024-06-26T05:14:32.2599340Z + local test_dir=extension/parallel/test 2024-06-26T05:14:32.2599732Z ++ pwd 2024-06-26T05:14:32.2601174Z + cmake extension/parallel/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/extension/parallel/test 2024-06-26T05:14:32.3325485Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:14:32.4301929Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:14:32.4358164Z -- Detecting C compiler ABI info 2024-06-26T05:14:32.5462540Z -- Detecting C compiler ABI info - done 2024-06-26T05:14:32.5522892Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:14:32.5525697Z -- Detecting C compile features 2024-06-26T05:14:32.5529863Z -- Detecting C compile features - done 2024-06-26T05:14:32.5561674Z -- Detecting CXX compiler ABI info 2024-06-26T05:14:32.6930260Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:14:32.6995268Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:14:32.6998393Z -- Detecting CXX compile features 2024-06-26T05:14:32.7003159Z -- Detecting CXX compile features - done 2024-06-26T05:14:32.7084896Z flatccrt_d library is not found. 2024-06-26T05:14:32.7085521Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:32.7088411Z mpsdelegate library is not found. 2024-06-26T05:14:32.7089058Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:32.7091909Z qnn_executorch_backend library is not found. 2024-06-26T05:14:32.7092736Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:32.7102932Z vulkan_backend library is not found. 2024-06-26T05:14:32.7103580Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:32.7112775Z quantized_ops_aot_lib library is not found. 2024-06-26T05:14:32.7113502Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:32.7127474Z -- Looking for pthread.h 2024-06-26T05:14:32.8219558Z -- Looking for pthread.h - found 2024-06-26T05:14:32.8220535Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:14:32.9310715Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:14:32.9317447Z -- Found Threads: TRUE 2024-06-26T05:14:32.9327769Z -- Configuring done 2024-06-26T05:14:32.9364456Z -- Generating done 2024-06-26T05:14:32.9380550Z -- Build files have been written to: /executorch/cmake-out/extension/parallel/test 2024-06-26T05:14:32.9407128Z + cmake --build cmake-out/extension/parallel/test -j9 2024-06-26T05:14:32.9683284Z [ 16%] Building CXX object CMakeFiles/extension_parallel_test.dir/thread_parallel_test.cpp.o 2024-06-26T05:14:32.9686209Z [ 33%] Building CXX object CMakeFiles/extension_parallel_test.dir/executorch/extension/parallel/thread_parallel.cpp.o 2024-06-26T05:14:32.9692522Z [ 50%] Building CXX object CMakeFiles/extension_parallel_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:14:32.9703956Z [ 83%] Building CXX object CMakeFiles/extension_parallel_test.dir/executorch/backends/xnnpack/threadpool/threadpool_guard.cpp.o 2024-06-26T05:14:32.9707077Z [ 83%] Building CXX object CMakeFiles/extension_parallel_test.dir/executorch/backends/xnnpack/threadpool/threadpool.cpp.o 2024-06-26T05:14:33.1902191Z [100%] Linking CXX executable extension_parallel_test 2024-06-26T05:14:33.3961072Z [100%] Built target extension_parallel_test 2024-06-26T05:14:33.4021205Z + [[ extension/parallel/test =~ .*tokenizer.* ]] 2024-06-26T05:14:33.4023956Z ++ realpath extension/module/test/resources 2024-06-26T05:14:33.4032567Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:14:33.4033212Z + export RESOURCES_PATH 2024-06-26T05:14:33.4033723Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:14:33.4034379Z + '[' -e cmake-out/extension/parallel/test/extension_parallel_test ']' 2024-06-26T05:14:33.4036035Z ++ basename cmake-out/extension/parallel/test/extension_parallel_test 2024-06-26T05:14:33.4044377Z + LLVM_PROFILE_FILE=cmake-out/extension_parallel_test.profraw 2024-06-26T05:14:33.4045650Z + ./cmake-out/extension/parallel/test/extension_parallel_test 2024-06-26T05:14:33.4058876Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:14:33.4059861Z [==========] Running 12 tests from 1 test suite. 2024-06-26T05:14:33.4060455Z [----------] Global test environment set-up. 2024-06-26T05:14:33.4061017Z [----------] 12 tests from ParallelTest 2024-06-26T05:14:33.4061560Z [ RUN ] ParallelTest.TestAllInvoked 2024-06-26T05:14:33.4249387Z [ OK ] ParallelTest.TestAllInvoked (18 ms) 2024-06-26T05:14:33.4250279Z [ RUN ] ParallelTest.TestAllInvokedWithMutex 2024-06-26T05:14:33.4251243Z [ OK ] ParallelTest.TestAllInvokedWithMutex (0 ms) 2024-06-26T05:14:33.4252127Z [ RUN ] ParallelTest.TestInvalidRange 2024-06-26T05:14:33.4252959Z [ OK ] ParallelTest.TestInvalidRange (0 ms) 2024-06-26T05:14:33.4253782Z [ RUN ] ParallelTest.TestInvalidRange2 2024-06-26T05:14:33.4254615Z [ OK ] ParallelTest.TestInvalidRange2 (0 ms) 2024-06-26T05:14:33.4255567Z [ RUN ] ParallelTest.TestInvokePartialFromBeginning 2024-06-26T05:14:33.4256636Z [ OK ] ParallelTest.TestInvokePartialFromBeginning (0 ms) 2024-06-26T05:14:33.4257750Z [ RUN ] ParallelTest.TestInvokePartialToEnd 2024-06-26T05:14:33.4261324Z [ OK ] ParallelTest.TestInvokePartialToEnd (0 ms) 2024-06-26T05:14:33.4262270Z [ RUN ] ParallelTest.TestInvokePartialMiddle 2024-06-26T05:14:33.4263204Z [ OK ] ParallelTest.TestInvokePartialMiddle (0 ms) 2024-06-26T05:14:33.4264048Z [ RUN ] ParallelTest.TestChunkSize2 2024-06-26T05:14:33.4264866Z [ OK ] ParallelTest.TestChunkSize2 (0 ms) 2024-06-26T05:14:33.4265705Z [ RUN ] ParallelTest.TestChunkSize2Middle 2024-06-26T05:14:33.4266585Z [ OK ] ParallelTest.TestChunkSize2Middle (0 ms) 2024-06-26T05:14:33.4267429Z [ RUN ] ParallelTest.TestChunkSize3 2024-06-26T05:14:33.4270105Z [ OK ] ParallelTest.TestChunkSize3 (0 ms) 2024-06-26T05:14:33.4270964Z [ RUN ] ParallelTest.TestChunkSize6 2024-06-26T05:14:33.4271737Z [ OK ] ParallelTest.TestChunkSize6 (0 ms) 2024-06-26T05:14:33.4272453Z [ RUN ] ParallelTest.TestChunkSizeTooLarge 2024-06-26T05:14:33.4273186Z [ OK ] ParallelTest.TestChunkSizeTooLarge (0 ms) 2024-06-26T05:14:33.4273895Z [----------] 12 tests from ParallelTest (21 ms total) 2024-06-26T05:14:33.4274297Z 2024-06-26T05:14:33.4274546Z [----------] Global test environment tear-down 2024-06-26T05:14:33.4275224Z [==========] 12 tests from 1 test suite ran. (21 ms total) 2024-06-26T05:14:33.4275820Z [ PASSED ] 12 tests. 2024-06-26T05:14:33.4285721Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test' 2024-06-26T05:14:33.4289254Z + for test_dir in $(probe_tests) 2024-06-26T05:14:33.4289680Z + build_and_run_test extension/pytree/test 2024-06-26T05:14:33.4290128Z + local test_dir=extension/pytree/test 2024-06-26T05:14:33.4290498Z ++ pwd 2024-06-26T05:14:33.4292088Z + cmake extension/pytree/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/extension/pytree/test 2024-06-26T05:14:33.5014695Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:14:33.5974948Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:14:33.6027988Z -- Detecting C compiler ABI info 2024-06-26T05:14:33.7074891Z -- Detecting C compiler ABI info - done 2024-06-26T05:14:33.7137036Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:14:33.7139328Z -- Detecting C compile features 2024-06-26T05:14:33.7143997Z -- Detecting C compile features - done 2024-06-26T05:14:33.7175822Z -- Detecting CXX compiler ABI info 2024-06-26T05:14:33.8537602Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:14:33.8603622Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:14:33.8605785Z -- Detecting CXX compile features 2024-06-26T05:14:33.8610552Z -- Detecting CXX compile features - done 2024-06-26T05:14:33.8692523Z flatccrt_d library is not found. 2024-06-26T05:14:33.8693351Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:33.8695931Z mpsdelegate library is not found. 2024-06-26T05:14:33.8696809Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:33.8699582Z qnn_executorch_backend library is not found. 2024-06-26T05:14:33.8700393Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:33.8710041Z vulkan_backend library is not found. 2024-06-26T05:14:33.8710852Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:33.8720100Z quantized_ops_aot_lib library is not found. 2024-06-26T05:14:33.8720811Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:33.8734285Z -- Looking for pthread.h 2024-06-26T05:14:33.9798012Z -- Looking for pthread.h - found 2024-06-26T05:14:33.9798936Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:14:34.0863047Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:14:34.0870087Z -- Found Threads: TRUE 2024-06-26T05:14:34.0880301Z -- Configuring done 2024-06-26T05:14:34.0911043Z -- Generating done 2024-06-26T05:14:34.0926638Z -- Build files have been written to: /executorch/cmake-out/extension/pytree/test 2024-06-26T05:14:34.0954359Z + cmake --build cmake-out/extension/pytree/test -j9 2024-06-26T05:14:34.1239976Z [ 25%] Building CXX object CMakeFiles/extension_pytree_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:14:34.1250284Z [ 75%] Building CXX object CMakeFiles/extension_pytree_test.dir/function_ref_test.cpp.o 2024-06-26T05:14:34.1251355Z [ 75%] Building CXX object CMakeFiles/extension_pytree_test.dir/test_pytree.cpp.o 2024-06-26T05:14:34.3304416Z [100%] Linking CXX executable extension_pytree_test 2024-06-26T05:14:34.5453784Z [100%] Built target extension_pytree_test 2024-06-26T05:14:34.5511523Z + [[ extension/pytree/test =~ .*tokenizer.* ]] 2024-06-26T05:14:34.5513904Z ++ realpath extension/module/test/resources 2024-06-26T05:14:34.5522647Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:14:34.5523415Z + export RESOURCES_PATH 2024-06-26T05:14:34.5524076Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:14:34.5525063Z + '[' -e cmake-out/extension/pytree/test/extension_pytree_test ']' 2024-06-26T05:14:34.5526084Z ++ basename cmake-out/extension/pytree/test/extension_pytree_test 2024-06-26T05:14:34.5532743Z + LLVM_PROFILE_FILE=cmake-out/extension_pytree_test.profraw 2024-06-26T05:14:34.5533446Z + ./cmake-out/extension/pytree/test/extension_pytree_test 2024-06-26T05:14:34.5548270Z [==========] Running 11 tests from 3 test suites. 2024-06-26T05:14:34.5549264Z [----------] Global test environment set-up. 2024-06-26T05:14:34.5550183Z [----------] 3 tests from FunctionRefTest 2024-06-26T05:14:34.5551534Z [ RUN ] FunctionRefTest.CapturingLambda 2024-06-26T05:14:34.5552783Z [ OK ] FunctionRefTest.CapturingLambda (0 ms) 2024-06-26T05:14:34.5554015Z [ RUN ] FunctionRefTest.NonCapturingLambda 2024-06-26T05:14:34.5555318Z [ OK ] FunctionRefTest.NonCapturingLambda (0 ms) 2024-06-26T05:14:34.5556387Z [ RUN ] FunctionRefTest.FunctionPointer 2024-06-26T05:14:34.5557027Z [ OK ] FunctionRefTest.FunctionPointer (0 ms) 2024-06-26T05:14:34.5557692Z [----------] 3 tests from FunctionRefTest (0 ms total) 2024-06-26T05:14:34.5558365Z 2024-06-26T05:14:34.5558725Z [----------] 6 tests from PyTreeTest 2024-06-26T05:14:34.5559551Z [ RUN ] PyTreeTest.List 2024-06-26T05:14:34.5560364Z [ OK ] PyTreeTest.List (0 ms) 2024-06-26T05:14:34.5561171Z [ RUN ] PyTreeTest.Tuple 2024-06-26T05:14:34.5561962Z [ OK ] PyTreeTest.Tuple (0 ms) 2024-06-26T05:14:34.5562495Z [ RUN ] PyTreeTest.Dict 2024-06-26T05:14:34.5562973Z [ OK ] PyTreeTest.Dict (0 ms) 2024-06-26T05:14:34.5563534Z [ RUN ] PyTreeTest.Leaf 2024-06-26T05:14:34.5564012Z [ OK ] PyTreeTest.Leaf (0 ms) 2024-06-26T05:14:34.5564529Z [ RUN ] PyTreeTest.DictWithList 2024-06-26T05:14:34.5565077Z [ OK ] PyTreeTest.DictWithList (0 ms) 2024-06-26T05:14:34.5565654Z [ RUN ] PyTreeTest.DictKeysStrInt 2024-06-26T05:14:34.5566235Z [ OK ] PyTreeTest.DictKeysStrInt (0 ms) 2024-06-26T05:14:34.5566944Z [----------] 6 tests from PyTreeTest (0 ms total) 2024-06-26T05:14:34.5567319Z 2024-06-26T05:14:34.5567497Z [----------] 2 tests from pytree 2024-06-26T05:14:34.5567969Z [ RUN ] pytree.FlattenDict 2024-06-26T05:14:34.5568461Z [ OK ] pytree.FlattenDict (0 ms) 2024-06-26T05:14:34.5569001Z [ RUN ] pytree.FlattenNestedDict 2024-06-26T05:14:34.5569583Z [ OK ] pytree.FlattenNestedDict (0 ms) 2024-06-26T05:14:34.5570169Z [----------] 2 tests from pytree (0 ms total) 2024-06-26T05:14:34.5581490Z 2024-06-26T05:14:34.5581844Z [----------] Global test environment tear-down 2024-06-26T05:14:34.5582508Z [==========] 11 tests from 3 test suites ran. (0 ms total) 2024-06-26T05:14:34.5583054Z [ PASSED ] 11 tests. 2024-06-26T05:14:34.5587236Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test' 2024-06-26T05:14:34.5591032Z + for test_dir in $(probe_tests) 2024-06-26T05:14:34.5591461Z + build_and_run_test extension/runner_util/test 2024-06-26T05:14:34.5591947Z + local test_dir=extension/runner_util/test 2024-06-26T05:14:34.5592336Z ++ pwd 2024-06-26T05:14:34.5593768Z + cmake extension/runner_util/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/extension/runner_util/test 2024-06-26T05:14:34.6290338Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:14:34.7265504Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:14:34.7317296Z -- Detecting C compiler ABI info 2024-06-26T05:14:34.8393402Z -- Detecting C compiler ABI info - done 2024-06-26T05:14:34.8454328Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:14:34.8456536Z -- Detecting C compile features 2024-06-26T05:14:34.8460675Z -- Detecting C compile features - done 2024-06-26T05:14:34.8491807Z -- Detecting CXX compiler ABI info 2024-06-26T05:14:34.9915187Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:14:34.9980967Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:14:34.9983222Z -- Detecting CXX compile features 2024-06-26T05:14:34.9987665Z -- Detecting CXX compile features - done 2024-06-26T05:14:35.0070081Z flatccrt_d library is not found. 2024-06-26T05:14:35.0070788Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:35.0073649Z mpsdelegate library is not found. 2024-06-26T05:14:35.0074326Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:35.0077278Z qnn_executorch_backend library is not found. 2024-06-26T05:14:35.0078249Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:35.0088951Z vulkan_backend library is not found. 2024-06-26T05:14:35.0089621Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:35.0099050Z quantized_ops_aot_lib library is not found. 2024-06-26T05:14:35.0099801Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:35.0113373Z -- Looking for pthread.h 2024-06-26T05:14:35.1220550Z -- Looking for pthread.h - found 2024-06-26T05:14:35.1221488Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:14:35.2321336Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:14:35.2328535Z -- Found Threads: TRUE 2024-06-26T05:14:35.2338549Z -- Configuring done 2024-06-26T05:14:35.2373707Z -- Generating done 2024-06-26T05:14:35.2390131Z -- Build files have been written to: /executorch/cmake-out/extension/runner_util/test 2024-06-26T05:14:35.2418025Z + cmake --build cmake-out/extension/runner_util/test -j9 2024-06-26T05:14:35.2701844Z [ 25%] Building CXX object CMakeFiles/extension_runner_util_test.dir/managed_tensor_test.cpp.o 2024-06-26T05:14:35.2719208Z [ 75%] Building CXX object CMakeFiles/extension_runner_util_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:14:35.2720540Z [ 75%] Building CXX object CMakeFiles/extension_runner_util_test.dir/inputs_test.cpp.o 2024-06-26T05:14:35.5241298Z [100%] Linking CXX executable extension_runner_util_test 2024-06-26T05:14:42.3877350Z [100%] Built target extension_runner_util_test 2024-06-26T05:14:42.3935364Z + [[ extension/runner_util/test =~ .*tokenizer.* ]] 2024-06-26T05:14:42.3938396Z ++ realpath extension/module/test/resources 2024-06-26T05:14:42.3946480Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:14:42.3947073Z + export RESOURCES_PATH 2024-06-26T05:14:42.3947573Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:14:42.3948244Z + '[' -e cmake-out/extension/runner_util/test/extension_runner_util_test ']' 2024-06-26T05:14:42.3951172Z ++ basename cmake-out/extension/runner_util/test/extension_runner_util_test 2024-06-26T05:14:42.3958138Z + LLVM_PROFILE_FILE=cmake-out/extension_runner_util_test.profraw 2024-06-26T05:14:42.3959033Z + ./cmake-out/extension/runner_util/test/extension_runner_util_test 2024-06-26T05:14:42.3973766Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:14:42.3975033Z [==========] Running 6 tests from 3 test suites. 2024-06-26T05:14:42.3975864Z [----------] Global test environment set-up. 2024-06-26T05:14:42.3976400Z [----------] 1 test from InputsTest 2024-06-26T05:14:42.3976872Z [ RUN ] InputsTest.Smoke 2024-06-26T05:14:42.3977368Z [ OK ] InputsTest.Smoke (0 ms) 2024-06-26T05:14:42.3977930Z [----------] 1 test from InputsTest (0 ms total) 2024-06-26T05:14:42.3978280Z 2024-06-26T05:14:42.3978518Z [----------] 1 test from BufferCleanupTest 2024-06-26T05:14:42.3979047Z [ RUN ] BufferCleanupTest.Smoke 2024-06-26T05:14:42.3982992Z [ OK ] BufferCleanupTest.Smoke (0 ms) 2024-06-26T05:14:42.3983648Z [----------] 1 test from BufferCleanupTest (0 ms total) 2024-06-26T05:14:42.3984044Z 2024-06-26T05:14:42.3984272Z [----------] 4 tests from ManagedTensorTest 2024-06-26T05:14:42.3984823Z [ RUN ] ManagedTensorTest.Smoke 2024-06-26T05:14:42.3985514Z [ OK ] ManagedTensorTest.Smoke (0 ms) 2024-06-26T05:14:42.3986151Z [ RUN ] ManagedTensorTest.ResizeWithUpdatedRank 2024-06-26T05:14:42.4064835Z [ OK ] ManagedTensorTest.ResizeWithUpdatedRank (8 ms) 2024-06-26T05:14:42.4065546Z [ RUN ] ManagedTensorTest.ResizeShrink 2024-06-26T05:14:42.4066188Z [ OK ] ManagedTensorTest.ResizeShrink (0 ms) 2024-06-26T05:14:42.4066773Z [ RUN ] ManagedTensorTest.Resize 2024-06-26T05:14:42.4067339Z [ OK ] ManagedTensorTest.Resize (0 ms) 2024-06-26T05:14:42.4067989Z [----------] 4 tests from ManagedTensorTest (8 ms total) 2024-06-26T05:14:42.4068375Z 2024-06-26T05:14:42.4068615Z [----------] Global test environment tear-down 2024-06-26T05:14:42.4069239Z [==========] 6 tests from 3 test suites ran. (9 ms total) 2024-06-26T05:14:42.4069777Z [ PASSED ] 6 tests. 2024-06-26T05:14:42.4126247Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test' 2024-06-26T05:14:42.4130686Z + for test_dir in $(probe_tests) 2024-06-26T05:14:42.4131135Z + build_and_run_test kernels/portable/cpu/util/test 2024-06-26T05:14:42.4131634Z + local test_dir=kernels/portable/cpu/util/test 2024-06-26T05:14:42.4132050Z ++ pwd 2024-06-26T05:14:42.4133565Z + cmake kernels/portable/cpu/util/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/kernels/portable/cpu/util/test 2024-06-26T05:14:42.4844475Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:14:42.5804963Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:14:42.5858682Z -- Detecting C compiler ABI info 2024-06-26T05:14:42.6953581Z -- Detecting C compiler ABI info - done 2024-06-26T05:14:42.7014440Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:14:42.7016692Z -- Detecting C compile features 2024-06-26T05:14:42.7021075Z -- Detecting C compile features - done 2024-06-26T05:14:42.7053259Z -- Detecting CXX compiler ABI info 2024-06-26T05:14:42.8433276Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:14:42.8502553Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:14:42.8505304Z -- Detecting CXX compile features 2024-06-26T05:14:42.8511238Z -- Detecting CXX compile features - done 2024-06-26T05:14:42.8593695Z flatccrt_d library is not found. 2024-06-26T05:14:42.8594358Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:42.8597188Z mpsdelegate library is not found. 2024-06-26T05:14:42.8597819Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:42.8600657Z qnn_executorch_backend library is not found. 2024-06-26T05:14:42.8601336Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:42.8611786Z vulkan_backend library is not found. 2024-06-26T05:14:42.8612635Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:42.8621615Z quantized_ops_aot_lib library is not found. 2024-06-26T05:14:42.8622346Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:42.8636429Z -- Looking for pthread.h 2024-06-26T05:14:42.9745348Z -- Looking for pthread.h - found 2024-06-26T05:14:42.9749544Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:14:43.0843742Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:14:43.0851192Z -- Found Threads: TRUE 2024-06-26T05:14:43.0860973Z -- Configuring done 2024-06-26T05:14:43.0894324Z -- Generating done 2024-06-26T05:14:43.0909574Z -- Build files have been written to: /executorch/cmake-out/kernels/portable/cpu/util/test 2024-06-26T05:14:43.0937381Z + cmake --build cmake-out/kernels/portable/cpu/util/test -j9 2024-06-26T05:14:43.1219858Z [ 25%] Building CXX object CMakeFiles/kernels_portable_cpu_util_test.dir/broadcast_test.cpp.o 2024-06-26T05:14:43.1221905Z [ 50%] Building CXX object CMakeFiles/kernels_portable_cpu_util_test.dir/reduce_test.cpp.o 2024-06-26T05:14:43.1224369Z [ 75%] Building CXX object CMakeFiles/kernels_portable_cpu_util_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:14:43.4106427Z /executorch/kernels/portable/cpu/util/test/broadcast_test.cpp:33:31: warning: 'broadcast_tensor' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:14:43.4107583Z Tensor d = torch::executor::broadcast_tensor(a, c); 2024-06-26T05:14:43.4108224Z ^ 2024-06-26T05:14:43.4109736Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/kernels/portable/cpu/util/broadcast_util.h:80:1: note: 'broadcast_tensor' has been explicitly marked deprecated here 2024-06-26T05:14:43.4111874Z __ET_DEPRECATED exec_aten::Tensor broadcast_tensor( 2024-06-26T05:14:43.4112378Z ^ 2024-06-26T05:14:43.4113728Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:14:43.4115282Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:14:43.4115681Z ^ 2024-06-26T05:14:43.4117040Z /executorch/kernels/portable/cpu/util/test/broadcast_test.cpp:35:20: warning: 'free_broadcast_tensor' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:14:43.4119047Z torch::executor::free_broadcast_tensor(d); 2024-06-26T05:14:43.4119816Z ^ 2024-06-26T05:14:43.4121749Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/kernels/portable/cpu/util/broadcast_util.h:205:1: note: 'free_broadcast_tensor' has been explicitly marked deprecated here 2024-06-26T05:14:43.4123039Z __ET_DEPRECATED void free_broadcast_tensor( 2024-06-26T05:14:43.4123441Z ^ 2024-06-26T05:14:43.4124412Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:14:43.4125434Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:14:43.4125823Z ^ 2024-06-26T05:14:43.4127448Z /executorch/kernels/portable/cpu/util/test/broadcast_test.cpp:37:24: warning: 'broadcast_tensor' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:14:43.4128713Z d = torch::executor::broadcast_tensor(b, c); 2024-06-26T05:14:43.4129131Z ^ 2024-06-26T05:14:43.4130436Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/kernels/portable/cpu/util/broadcast_util.h:80:1: note: 'broadcast_tensor' has been explicitly marked deprecated here 2024-06-26T05:14:43.4131728Z __ET_DEPRECATED exec_aten::Tensor broadcast_tensor( 2024-06-26T05:14:43.4132147Z ^ 2024-06-26T05:14:43.4133113Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:14:43.4134130Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:14:43.4134710Z ^ 2024-06-26T05:14:43.4135779Z /executorch/kernels/portable/cpu/util/test/broadcast_test.cpp:39:20: warning: 'free_broadcast_tensor' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:14:43.4136846Z torch::executor::free_broadcast_tensor(d); 2024-06-26T05:14:43.4137246Z ^ 2024-06-26T05:14:43.4138618Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/kernels/portable/cpu/util/broadcast_util.h:205:1: note: 'free_broadcast_tensor' has been explicitly marked deprecated here 2024-06-26T05:14:43.4139989Z __ET_DEPRECATED void free_broadcast_tensor( 2024-06-26T05:14:43.4140392Z ^ 2024-06-26T05:14:43.4141353Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:14:43.4142369Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:14:43.4142760Z ^ 2024-06-26T05:14:43.4143798Z /executorch/kernels/portable/cpu/util/test/broadcast_test.cpp:64:31: warning: 'broadcast_tensor' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:14:43.4144883Z Tensor d = torch::executor::broadcast_tensor(a, c); 2024-06-26T05:14:43.4145338Z ^ 2024-06-26T05:14:43.4146651Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/kernels/portable/cpu/util/broadcast_util.h:80:1: note: 'broadcast_tensor' has been explicitly marked deprecated here 2024-06-26T05:14:43.4147937Z __ET_DEPRECATED exec_aten::Tensor broadcast_tensor( 2024-06-26T05:14:43.4148428Z ^ 2024-06-26T05:14:43.4149387Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:14:43.4150394Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:14:43.4150782Z ^ 2024-06-26T05:14:43.4151850Z /executorch/kernels/portable/cpu/util/test/broadcast_test.cpp:66:20: warning: 'free_broadcast_tensor' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:14:43.4152894Z torch::executor::free_broadcast_tensor(d); 2024-06-26T05:14:43.4153305Z ^ 2024-06-26T05:14:43.4154594Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/kernels/portable/cpu/util/broadcast_util.h:205:1: note: 'free_broadcast_tensor' has been explicitly marked deprecated here 2024-06-26T05:14:43.4155865Z __ET_DEPRECATED void free_broadcast_tensor( 2024-06-26T05:14:43.4156265Z ^ 2024-06-26T05:14:43.4157228Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:14:43.4158401Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:14:43.4158778Z ^ 2024-06-26T05:14:43.4159827Z /executorch/kernels/portable/cpu/util/test/broadcast_test.cpp:69:24: warning: 'broadcast_tensor' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:14:43.4160881Z d = torch::executor::broadcast_tensor(b, c); 2024-06-26T05:14:43.4161296Z ^ 2024-06-26T05:14:43.4162586Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/kernels/portable/cpu/util/broadcast_util.h:80:1: note: 'broadcast_tensor' has been explicitly marked deprecated here 2024-06-26T05:14:43.4163869Z __ET_DEPRECATED exec_aten::Tensor broadcast_tensor( 2024-06-26T05:14:43.4164294Z ^ 2024-06-26T05:14:43.4165254Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:14:43.4166278Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:14:43.4166663Z ^ 2024-06-26T05:14:43.4167713Z /executorch/kernels/portable/cpu/util/test/broadcast_test.cpp:71:20: warning: 'free_broadcast_tensor' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:14:43.4168777Z torch::executor::free_broadcast_tensor(d); 2024-06-26T05:14:43.4169188Z ^ 2024-06-26T05:14:43.4170602Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/kernels/portable/cpu/util/broadcast_util.h:205:1: note: 'free_broadcast_tensor' has been explicitly marked deprecated here 2024-06-26T05:14:43.4171885Z __ET_DEPRECATED void free_broadcast_tensor( 2024-06-26T05:14:43.4172288Z ^ 2024-06-26T05:14:43.4173245Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:14:43.4174303Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:14:43.4174695Z ^ 2024-06-26T05:14:43.4175725Z /executorch/kernels/portable/cpu/util/test/broadcast_test.cpp:88:19: warning: 'broadcast_tensor' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:14:43.4176764Z ET_EXPECT_DEATH(broadcast_tensor(a, b), ""); 2024-06-26T05:14:43.4177178Z ^ 2024-06-26T05:14:43.4178451Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/kernels/portable/cpu/util/broadcast_util.h:80:1: note: 'broadcast_tensor' has been explicitly marked deprecated here 2024-06-26T05:14:43.4179794Z __ET_DEPRECATED exec_aten::Tensor broadcast_tensor( 2024-06-26T05:14:43.4180231Z ^ 2024-06-26T05:14:43.4181192Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:14:43.4182206Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:14:43.4182601Z ^ 2024-06-26T05:14:43.4183641Z /executorch/kernels/portable/cpu/util/test/broadcast_test.cpp:94:19: warning: 'broadcast_tensor' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:14:43.4184716Z ET_EXPECT_DEATH(broadcast_tensor(b, c), ""); 2024-06-26T05:14:43.4185133Z ^ 2024-06-26T05:14:43.4186395Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/kernels/portable/cpu/util/broadcast_util.h:80:1: note: 'broadcast_tensor' has been explicitly marked deprecated here 2024-06-26T05:14:43.4187684Z __ET_DEPRECATED exec_aten::Tensor broadcast_tensor( 2024-06-26T05:14:43.4188104Z ^ 2024-06-26T05:14:43.4189068Z /executorch/kernels/portable/cpu/util/test/../../../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:14:43.4190075Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:14:43.4190450Z ^ 2024-06-26T05:14:43.4191648Z /executorch/kernels/portable/cpu/util/test/broadcast_test.cpp:115:3: warning: ignoring return value of function declared with 'nodiscard' attribute [-Wunused-result] 2024-06-26T05:14:43.4192783Z get_broadcast_target_size( 2024-06-26T05:14:43.4193105Z ^~~~~~~~~~~~~~~~~~~~~~~~~ 2024-06-26T05:14:43.4193428Z 11 warnings generated. 2024-06-26T05:14:43.4203225Z /executorch/kernels/portable/cpu/util/test/reduce_test.cpp:470:39: warning: expression result unused [-Wunused-value] 2024-06-26T05:14:43.4204128Z _apply_over_dim_list(in, dim_list), ""; 2024-06-26T05:14:43.4204567Z ^~ 2024-06-26T05:14:43.4204949Z 1 warning generated. 2024-06-26T05:14:43.4259343Z [100%] Linking CXX executable kernels_portable_cpu_util_test 2024-06-26T05:14:50.1711237Z [100%] Built target kernels_portable_cpu_util_test 2024-06-26T05:14:50.1771064Z + [[ kernels/portable/cpu/util/test =~ .*tokenizer.* ]] 2024-06-26T05:14:50.1773525Z ++ realpath extension/module/test/resources 2024-06-26T05:14:50.1781734Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:14:50.1782306Z + export RESOURCES_PATH 2024-06-26T05:14:50.1782816Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:14:50.1783551Z + '[' -e cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test ']' 2024-06-26T05:14:50.1784796Z ++ basename cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test 2024-06-26T05:14:50.1792673Z + LLVM_PROFILE_FILE=cmake-out/kernels_portable_cpu_util_test.profraw 2024-06-26T05:14:50.1794092Z + ./cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test 2024-06-26T05:14:50.1808603Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:14:50.1809673Z [==========] Running 24 tests from 2 test suites. 2024-06-26T05:14:50.1810465Z [----------] Global test environment set-up. 2024-06-26T05:14:50.1811610Z [----------] 8 tests from BroadcastUtilTest 2024-06-26T05:14:50.1812220Z [ RUN ] BroadcastUtilTest.BroadcastTensor 2024-06-26T05:14:50.1812905Z [ OK ] BroadcastUtilTest.BroadcastTensor (0 ms) 2024-06-26T05:14:50.1813839Z [ RUN ] BroadcastUtilTest.BroadcastableBetween 2024-06-26T05:14:50.1814553Z [ OK ] BroadcastUtilTest.BroadcastableBetween (0 ms) 2024-06-26T05:14:50.1815268Z [ RUN ] BroadcastUtilTest.BroadcastableToFrom 2024-06-26T05:14:50.1815977Z [ OK ] BroadcastUtilTest.BroadcastableToFrom (0 ms) 2024-06-26T05:14:50.1816679Z [ RUN ] BroadcastUtilTest.NotBroadcastableTo 2024-06-26T05:14:50.1953397Z [ OK ] BroadcastUtilTest.NotBroadcastableTo (14 ms) 2024-06-26T05:14:50.1954775Z [ RUN ] BroadcastUtilTest.NotBroadcastableBetween 2024-06-26T05:14:50.1955907Z [ OK ] BroadcastUtilTest.NotBroadcastableBetween (0 ms) 2024-06-26T05:14:50.1957333Z [ RUN ] BroadcastUtilTest.GetBroadcastTargetSize 2024-06-26T05:14:50.1958875Z [ OK ] BroadcastUtilTest.GetBroadcastTargetSize (0 ms) 2024-06-26T05:14:50.1960342Z [ RUN ] BroadcastUtilTest.DelinearizeIndex 2024-06-26T05:14:50.1961607Z [ OK ] BroadcastUtilTest.DelinearizeIndex (0 ms) 2024-06-26T05:14:50.1962642Z [ RUN ] BroadcastUtilTest.LinearizeIndex 2024-06-26T05:14:50.1963296Z [ OK ] BroadcastUtilTest.LinearizeIndex (0 ms) 2024-06-26T05:14:50.1964029Z [----------] 8 tests from BroadcastUtilTest (14 ms total) 2024-06-26T05:14:50.1964717Z 2024-06-26T05:14:50.1965103Z [----------] 16 tests from ReduceUtilTest 2024-06-26T05:14:50.1966030Z [ RUN ] ReduceUtilTest.ApplyOverDim 2024-06-26T05:14:50.1967102Z [ OK ] ReduceUtilTest.ApplyOverDim (0 ms) 2024-06-26T05:14:50.1968168Z [ RUN ] ReduceUtilTest.ApplyOverDimListNull 2024-06-26T05:14:50.1969320Z [ OK ] ReduceUtilTest.ApplyOverDimListNull (0 ms) 2024-06-26T05:14:50.1970536Z [ RUN ] ReduceUtilTest.ApplyOverZeroDimListEmpty 2024-06-26T05:14:50.1971786Z [ OK ] ReduceUtilTest.ApplyOverZeroDimListEmpty (0 ms) 2024-06-26T05:14:50.1972960Z [ RUN ] ReduceUtilTest.ApplyOverZeroDim 2024-06-26T05:14:50.1974026Z [ OK ] ReduceUtilTest.ApplyOverZeroDim (0 ms) 2024-06-26T05:14:50.1975176Z [ RUN ] ReduceUtilTest.ApplyOverDimListEmpty 2024-06-26T05:14:50.1976363Z [ OK ] ReduceUtilTest.ApplyOverDimListEmpty (0 ms) 2024-06-26T05:14:50.1977572Z [ RUN ] ReduceUtilTest.ApplyOverDimListLength1 2024-06-26T05:14:50.1978774Z [ OK ] ReduceUtilTest.ApplyOverDimListLength1 (0 ms) 2024-06-26T05:14:50.1980050Z [ RUN ] ReduceUtilTest.ApplyOverDimListLength2 2024-06-26T05:14:50.1981278Z [ OK ] ReduceUtilTest.ApplyOverDimListLength2 (0 ms) 2024-06-26T05:14:50.1982491Z [ RUN ] ReduceUtilTest.ApplyOverDimListLength3 2024-06-26T05:14:50.1983703Z [ OK ] ReduceUtilTest.ApplyOverDimListLength3 (0 ms) 2024-06-26T05:14:50.1984898Z [ RUN ] ReduceUtilTest.ApplyOverDimListLength4 2024-06-26T05:14:50.1986115Z [ OK ] ReduceUtilTest.ApplyOverDimListLength4 (0 ms) 2024-06-26T05:14:50.1987346Z [ RUN ] ReduceUtilTest.ApplyOnZeroDimTensorOverDim 2024-06-26T05:14:50.1988642Z [ OK ] ReduceUtilTest.ApplyOnZeroDimTensorOverDim (0 ms) 2024-06-26T05:14:50.1990021Z [ RUN ] ReduceUtilTest.ApplyOnZeroDimTensorOverDimListNull 2024-06-26T05:14:50.1991710Z [ OK ] ReduceUtilTest.ApplyOnZeroDimTensorOverDimListNull (0 ms) 2024-06-26T05:14:50.1993251Z [ RUN ] ReduceUtilTest.ApplyOnZeroDimTensorOverDimListEmpty 2024-06-26T05:14:50.1994794Z [ OK ] ReduceUtilTest.ApplyOnZeroDimTensorOverDimListEmpty (0 ms) 2024-06-26T05:14:50.1996309Z [ RUN ] ReduceUtilTest.ApplyOnZeroDimTensorOverDimListNonEmpty 2024-06-26T05:14:50.1998104Z [ OK ] ReduceUtilTest.ApplyOnZeroDimTensorOverDimListNonEmpty (0 ms) 2024-06-26T05:14:50.1999557Z [ RUN ] ReduceUtilTest.ApplyOnEmptyTensorOverDim 2024-06-26T05:14:50.2040635Z [ OK ] ReduceUtilTest.ApplyOnEmptyTensorOverDim (7 ms) 2024-06-26T05:14:50.2041435Z [ RUN ] ReduceUtilTest.ApplyOnEmptyTensorOverDimList 2024-06-26T05:14:50.2104712Z [ OK ] ReduceUtilTest.ApplyOnEmptyTensorOverDimList (6 ms) 2024-06-26T05:14:50.2105512Z [ RUN ] ReduceUtilTest.ApplyOverDimListInvalid 2024-06-26T05:14:50.2376780Z [ OK ] ReduceUtilTest.ApplyOverDimListInvalid (27 ms) 2024-06-26T05:14:50.2377558Z [----------] 16 tests from ReduceUtilTest (42 ms total) 2024-06-26T05:14:50.2377952Z 2024-06-26T05:14:50.2378206Z [----------] Global test environment tear-down 2024-06-26T05:14:50.2378840Z [==========] 24 tests from 2 test suites ran. (56 ms total) 2024-06-26T05:14:50.2379381Z [ PASSED ] 24 tests. 2024-06-26T05:14:50.2435925Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test' 2024-06-26T05:14:50.2440969Z + for test_dir in $(probe_tests) 2024-06-26T05:14:50.2441394Z + build_and_run_test kernels/portable/test 2024-06-26T05:14:50.2441844Z + local test_dir=kernels/portable/test 2024-06-26T05:14:50.2442211Z ++ pwd 2024-06-26T05:14:50.2443615Z + cmake kernels/portable/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/kernels/portable/test 2024-06-26T05:14:50.3151658Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:14:50.4098223Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:14:50.4151686Z -- Detecting C compiler ABI info 2024-06-26T05:14:50.5236534Z -- Detecting C compiler ABI info - done 2024-06-26T05:14:50.5298254Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:14:50.5300786Z -- Detecting C compile features 2024-06-26T05:14:50.5304533Z -- Detecting C compile features - done 2024-06-26T05:14:50.5335866Z -- Detecting CXX compiler ABI info 2024-06-26T05:14:50.6714338Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:14:50.6780072Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:14:50.6782417Z -- Detecting CXX compile features 2024-06-26T05:14:50.6787313Z -- Detecting CXX compile features - done 2024-06-26T05:14:50.6870015Z flatccrt_d library is not found. 2024-06-26T05:14:50.6870718Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:50.6873145Z mpsdelegate library is not found. 2024-06-26T05:14:50.6873776Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:50.6876272Z qnn_executorch_backend library is not found. 2024-06-26T05:14:50.6877195Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:50.6887541Z vulkan_backend library is not found. 2024-06-26T05:14:50.6888194Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:50.6897324Z quantized_ops_aot_lib library is not found. 2024-06-26T05:14:50.6898084Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:50.6911762Z -- Looking for pthread.h 2024-06-26T05:14:50.7992594Z -- Looking for pthread.h - found 2024-06-26T05:14:50.7993469Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:14:50.9089473Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:14:50.9097689Z -- Found Threads: TRUE 2024-06-26T05:14:50.9107409Z -- Configuring done 2024-06-26T05:14:50.9140126Z -- Generating done 2024-06-26T05:14:50.9156663Z -- Build files have been written to: /executorch/cmake-out/kernels/portable/test 2024-06-26T05:14:50.9183588Z + cmake --build cmake-out/kernels/portable/test -j9 2024-06-26T05:14:50.9457569Z [ 20%] Building CXX object CMakeFiles/kernels_portable_test.dir/op_div_test.cpp.o 2024-06-26T05:14:50.9461480Z [ 40%] Building CXX object CMakeFiles/kernels_portable_test.dir/op_gelu_test.cpp.o 2024-06-26T05:14:50.9463065Z [ 60%] Building CXX object CMakeFiles/kernels_portable_test.dir/op_mul_test.cpp.o 2024-06-26T05:14:50.9465447Z [ 80%] Building CXX object CMakeFiles/kernels_portable_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:14:51.3147081Z [100%] Linking CXX executable kernels_portable_test 2024-06-26T05:14:58.0146995Z [100%] Built target kernels_portable_test 2024-06-26T05:14:58.0202976Z + [[ kernels/portable/test =~ .*tokenizer.* ]] 2024-06-26T05:14:58.0205666Z ++ realpath extension/module/test/resources 2024-06-26T05:14:58.0213415Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:14:58.0214258Z + export RESOURCES_PATH 2024-06-26T05:14:58.0215076Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:14:58.0216102Z + '[' -e cmake-out/kernels/portable/test/kernels_portable_test ']' 2024-06-26T05:14:58.0217741Z ++ basename cmake-out/kernels/portable/test/kernels_portable_test 2024-06-26T05:14:58.0226150Z + LLVM_PROFILE_FILE=cmake-out/kernels_portable_test.profraw 2024-06-26T05:14:58.0226852Z + ./cmake-out/kernels/portable/test/kernels_portable_test 2024-06-26T05:14:58.0242957Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:14:58.0243953Z [==========] Running 6 tests from 4 test suites. 2024-06-26T05:14:58.0244770Z [----------] Global test environment set-up. 2024-06-26T05:14:58.0245618Z [----------] 2 tests from OpDivScalarOutKernelTest 2024-06-26T05:14:58.0246921Z [ RUN ] OpDivScalarOutKernelTest.SanityCheckModeTrunc 2024-06-26T05:14:58.0248113Z [ OK ] OpDivScalarOutKernelTest.SanityCheckModeTrunc (0 ms) 2024-06-26T05:14:58.0248959Z [ RUN ] OpDivScalarOutKernelTest.SanityCheckModeFloor 2024-06-26T05:14:58.0249782Z [ OK ] OpDivScalarOutKernelTest.SanityCheckModeFloor (0 ms) 2024-06-26T05:14:58.0250575Z [----------] 2 tests from OpDivScalarOutKernelTest (0 ms total) 2024-06-26T05:14:58.0250996Z 2024-06-26T05:14:58.0251272Z [----------] 2 tests from OpDivScalarModeOutKernelTest 2024-06-26T05:14:58.0252033Z [ RUN ] OpDivScalarModeOutKernelTest.SanityCheckModeTrunc 2024-06-26T05:14:58.0252911Z [ OK ] OpDivScalarModeOutKernelTest.SanityCheckModeTrunc (0 ms) 2024-06-26T05:14:58.0253781Z [ RUN ] OpDivScalarModeOutKernelTest.SanityCheckModeFloor 2024-06-26T05:14:58.0254656Z [ OK ] OpDivScalarModeOutKernelTest.SanityCheckModeFloor (0 ms) 2024-06-26T05:14:58.0255506Z [----------] 2 tests from OpDivScalarModeOutKernelTest (0 ms total) 2024-06-26T05:14:58.0255946Z 2024-06-26T05:14:58.0256391Z [----------] 1 test from OpGeluKernelTest 2024-06-26T05:14:58.0257006Z [ RUN ] OpGeluKernelTest.HandleInfAndNanInput 2024-06-26T05:14:58.0257717Z [ OK ] OpGeluKernelTest.HandleInfAndNanInput (0 ms) 2024-06-26T05:14:58.0258414Z [----------] 1 test from OpGeluKernelTest (0 ms total) 2024-06-26T05:14:58.0258789Z 2024-06-26T05:14:58.0259078Z [----------] 1 test from OpMulOutKernelTest 2024-06-26T05:14:58.0259701Z [ RUN ] OpMulOutKernelTest.UnhandledDtypeDies 2024-06-26T05:14:58.0260499Z [ OK ] OpMulOutKernelTest.UnhandledDtypeDies (0 ms) 2024-06-26T05:14:58.0261201Z [----------] 1 test from OpMulOutKernelTest (0 ms total) 2024-06-26T05:14:58.0261599Z 2024-06-26T05:14:58.0261838Z [----------] Global test environment tear-down 2024-06-26T05:14:58.0262457Z [==========] 6 tests from 4 test suites ran. (0 ms total) 2024-06-26T05:14:58.0262976Z [ PASSED ] 6 tests. 2024-06-26T05:14:58.0313102Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test' 2024-06-26T05:14:58.0318394Z + for test_dir in $(probe_tests) 2024-06-26T05:14:58.0318799Z + build_and_run_test kernels/quantized/test 2024-06-26T05:14:58.0319255Z + local test_dir=kernels/quantized/test 2024-06-26T05:14:58.0319638Z ++ pwd 2024-06-26T05:14:58.0321026Z + cmake kernels/quantized/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/kernels/quantized/test 2024-06-26T05:14:58.1016024Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:14:58.1951476Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:14:58.2004353Z -- Detecting C compiler ABI info 2024-06-26T05:14:58.3124618Z -- Detecting C compiler ABI info - done 2024-06-26T05:14:58.3184816Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:14:58.3187539Z -- Detecting C compile features 2024-06-26T05:14:58.3191559Z -- Detecting C compile features - done 2024-06-26T05:14:58.3223387Z -- Detecting CXX compiler ABI info 2024-06-26T05:14:58.4600824Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:14:58.4666986Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:14:58.4669657Z -- Detecting CXX compile features 2024-06-26T05:14:58.4675459Z -- Detecting CXX compile features - done 2024-06-26T05:14:58.4759130Z flatccrt_d library is not found. 2024-06-26T05:14:58.4760274Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:58.4764386Z mpsdelegate library is not found. 2024-06-26T05:14:58.4765574Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:58.4769608Z qnn_executorch_backend library is not found. 2024-06-26T05:14:58.4770335Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:58.4780452Z vulkan_backend library is not found. 2024-06-26T05:14:58.4781361Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:58.4790608Z quantized_ops_aot_lib library is not found. 2024-06-26T05:14:58.4791715Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:14:58.4805170Z -- Looking for pthread.h 2024-06-26T05:14:58.5927067Z -- Looking for pthread.h - found 2024-06-26T05:14:58.5928053Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:14:58.7042889Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:14:58.7049681Z -- Found Threads: TRUE 2024-06-26T05:14:58.7059507Z -- Configuring done 2024-06-26T05:14:58.7099496Z -- Generating done 2024-06-26T05:14:58.7115399Z -- Build files have been written to: /executorch/cmake-out/kernels/quantized/test 2024-06-26T05:14:58.7142635Z + cmake --build cmake-out/kernels/quantized/test -j9 2024-06-26T05:14:58.7431478Z [ 10%] Building CXX object CMakeFiles/kernels_quantized_test.dir/op_add_test.cpp.o 2024-06-26T05:14:58.7433710Z [ 20%] Building CXX object CMakeFiles/kernels_quantized_test.dir/op_embedding_test.cpp.o 2024-06-26T05:14:58.7436556Z [ 30%] Building CXX object CMakeFiles/kernels_quantized_test.dir/op_choose_qparams_test.cpp.o 2024-06-26T05:14:58.7444481Z [ 40%] Building CXX object CMakeFiles/kernels_quantized_test.dir/op_embedding4b_test.cpp.o 2024-06-26T05:14:58.7448217Z [ 50%] Building CXX object CMakeFiles/kernels_quantized_test.dir/op_dequantize_test.cpp.o 2024-06-26T05:14:58.7450441Z [ 60%] Building CXX object CMakeFiles/kernels_quantized_test.dir/op_mixed_linear_test.cpp.o 2024-06-26T05:14:58.7452552Z [ 70%] Building CXX object CMakeFiles/kernels_quantized_test.dir/op_mixed_mm_test.cpp.o 2024-06-26T05:14:58.7479426Z [ 80%] Building CXX object CMakeFiles/kernels_quantized_test.dir/op_quantize_test.cpp.o 2024-06-26T05:14:58.7489636Z [ 90%] Building CXX object CMakeFiles/kernels_quantized_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:15:00.9319125Z [100%] Linking CXX executable kernels_quantized_test 2024-06-26T05:15:08.4480565Z [100%] Built target kernels_quantized_test 2024-06-26T05:15:08.4545968Z + [[ kernels/quantized/test =~ .*tokenizer.* ]] 2024-06-26T05:15:08.4548580Z ++ realpath extension/module/test/resources 2024-06-26T05:15:08.4556812Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:15:08.4557372Z + export RESOURCES_PATH 2024-06-26T05:15:08.4558058Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:08.4558693Z + '[' -e cmake-out/kernels/quantized/test/kernels_quantized_test ']' 2024-06-26T05:15:08.4560903Z ++ basename cmake-out/kernels/quantized/test/kernels_quantized_test 2024-06-26T05:15:08.4585083Z + LLVM_PROFILE_FILE=cmake-out/kernels_quantized_test.profraw 2024-06-26T05:15:08.4586193Z + ./cmake-out/kernels/quantized/test/kernels_quantized_test 2024-06-26T05:15:08.4587273Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:15:08.4588502Z [==========] Running 29 tests from 8 test suites. 2024-06-26T05:15:08.4589190Z [----------] Global test environment set-up. 2024-06-26T05:15:08.4589776Z [----------] 5 tests from OpQuantizeAddTest 2024-06-26T05:15:08.4590386Z [ RUN ] OpQuantizeAddTest.AllDtypesSupported 2024-06-26T05:15:08.4591103Z [ OK ] OpQuantizeAddTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:08.4591796Z [ RUN ] OpQuantizeAddTest.DifferentQParams 2024-06-26T05:15:08.4592479Z [ OK ] OpQuantizeAddTest.DifferentQParams (0 ms) 2024-06-26T05:15:08.4593241Z [ RUN ] OpQuantizeAddTest.ConsitencyWithReferencePattern 2024-06-26T05:15:08.4594103Z [ OK ] OpQuantizeAddTest.ConsitencyWithReferencePattern (0 ms) 2024-06-26T05:15:08.4594879Z [ RUN ] OpQuantizeAddTest.InvalidMinMaxDies 2024-06-26T05:15:08.4672121Z [ OK ] OpQuantizeAddTest.InvalidMinMaxDies (8 ms) 2024-06-26T05:15:08.4673304Z [ RUN ] OpQuantizeAddTest.TopOfRangeTest 2024-06-26T05:15:08.4674424Z [ OK ] OpQuantizeAddTest.TopOfRangeTest (0 ms) 2024-06-26T05:15:08.4675677Z [----------] 5 tests from OpQuantizeAddTest (8 ms total) 2024-06-26T05:15:08.4676364Z 2024-06-26T05:15:08.4676654Z [----------] 1 test from OpChooseQparamsTensorOutTest 2024-06-26T05:15:08.4677411Z [ RUN ] OpChooseQparamsTensorOutTest.AllDtypesSupported 2024-06-26T05:15:08.4678525Z [ OK ] OpChooseQparamsTensorOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:08.4680146Z [----------] 1 test from OpChooseQparamsTensorOutTest (0 ms total) 2024-06-26T05:15:08.4681000Z 2024-06-26T05:15:08.4681437Z [----------] 4 tests from OpDequantizeOutTest 2024-06-26T05:15:08.4682689Z [ RUN ] OpDequantizeOutTest.AllDtypesSupported 2024-06-26T05:15:08.4684061Z [ OK ] OpDequantizeOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:08.4685353Z [ RUN ] OpDequantizeOutTest.NonWholeNumbers 2024-06-26T05:15:08.4686640Z [ OK ] OpDequantizeOutTest.NonWholeNumbers (0 ms) 2024-06-26T05:15:08.4687977Z [ RUN ] OpDequantizeOutTest.TensorArgOverload 2024-06-26T05:15:08.4689305Z [ OK ] OpDequantizeOutTest.TensorArgOverload (0 ms) 2024-06-26T05:15:08.4690653Z [ RUN ] OpDequantizeOutTest.DequantizePerChannel 2024-06-26T05:15:08.4692038Z [ OK ] OpDequantizeOutTest.DequantizePerChannel (0 ms) 2024-06-26T05:15:08.4693371Z [----------] 4 tests from OpDequantizeOutTest (0 ms total) 2024-06-26T05:15:08.4694123Z 2024-06-26T05:15:08.4694613Z [----------] 3 tests from OpQuantizedEmbedding4bTest 2024-06-26T05:15:08.4696196Z [ RUN ] OpQuantizedEmbedding4bTest.TestGroupWiseQuantizedEmbedding 2024-06-26T05:15:08.4698071Z [ OK ] OpQuantizedEmbedding4bTest.TestGroupWiseQuantizedEmbedding (0 ms) 2024-06-26T05:15:08.4700146Z [ RUN ] OpQuantizedEmbedding4bTest.TestGroupWiseQuantizedEmbeddingDeath1 2024-06-26T05:15:08.4741101Z [ OK ] OpQuantizedEmbedding4bTest.TestGroupWiseQuantizedEmbeddingDeath1 (6 ms) 2024-06-26T05:15:08.4742258Z [ RUN ] OpQuantizedEmbedding4bTest.TestGroupWiseQuantizedEmbeddingDeath2 2024-06-26T05:15:08.4812272Z [ OK ] OpQuantizedEmbedding4bTest.TestGroupWiseQuantizedEmbeddingDeath2 (7 ms) 2024-06-26T05:15:08.4813699Z [----------] 3 tests from OpQuantizedEmbedding4bTest (13 ms total) 2024-06-26T05:15:08.4814157Z 2024-06-26T05:15:08.4814435Z [----------] 8 tests from OpQuantizedEmbeddingTest 2024-06-26T05:15:08.4815144Z [ RUN ] OpQuantizedEmbeddingTest.AllDtypesSupported 2024-06-26T05:15:08.4815945Z [ OK ] OpQuantizedEmbeddingTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:08.4816823Z [ RUN ] OpQuantizedEmbeddingTest.ConsitencyWithReferencePattern 2024-06-26T05:15:08.4817787Z [ OK ] OpQuantizedEmbeddingTest.ConsitencyWithReferencePattern (0 ms) 2024-06-26T05:15:08.4818749Z [ RUN ] OpQuantizedEmbeddingTest.TestGroupWiseQuantizedEmbedding 2024-06-26T05:15:08.4819817Z [ OK ] OpQuantizedEmbeddingTest.TestGroupWiseQuantizedEmbedding (0 ms) 2024-06-26T05:15:08.4820864Z [ RUN ] OpQuantizedEmbeddingTest.TestGroupWiseQuantizedEmbeddingDeath1 2024-06-26T05:15:08.4879798Z [ OK ] OpQuantizedEmbeddingTest.TestGroupWiseQuantizedEmbeddingDeath1 (6 ms) 2024-06-26T05:15:08.4880896Z [ RUN ] OpQuantizedEmbeddingTest.TestGroupWiseQuantizedEmbeddingDeath2 2024-06-26T05:15:08.4947035Z [ OK ] OpQuantizedEmbeddingTest.TestGroupWiseQuantizedEmbeddingDeath2 (6 ms) 2024-06-26T05:15:08.4948159Z [ RUN ] OpQuantizedEmbeddingTest.TestGroupWiseQuantizedEmbeddingDeath3 2024-06-26T05:15:08.5016019Z [ OK ] OpQuantizedEmbeddingTest.TestGroupWiseQuantizedEmbeddingDeath3 (6 ms) 2024-06-26T05:15:08.5017126Z [ RUN ] OpQuantizedEmbeddingTest.TestGroupWiseQuantizedEmbeddingDeath4 2024-06-26T05:15:08.5083916Z [ OK ] OpQuantizedEmbeddingTest.TestGroupWiseQuantizedEmbeddingDeath4 (6 ms) 2024-06-26T05:15:08.5085259Z [ RUN ] OpQuantizedEmbeddingTest.TestGroupWiseQuantizedEmbeddingDeath5 2024-06-26T05:15:08.5151551Z [ OK ] OpQuantizedEmbeddingTest.TestGroupWiseQuantizedEmbeddingDeath5 (6 ms) 2024-06-26T05:15:08.5152719Z [----------] 8 tests from OpQuantizedEmbeddingTest (33 ms total) 2024-06-26T05:15:08.5153285Z 2024-06-26T05:15:08.5154050Z [----------] 2 tests from OpQuantizedMixedDtypeLinearTest 2024-06-26T05:15:08.5155276Z [ RUN ] OpQuantizedMixedDtypeLinearTest.FloatInputFloatOutput 2024-06-26T05:15:08.5156230Z [ OK ] OpQuantizedMixedDtypeLinearTest.FloatInputFloatOutput (0 ms) 2024-06-26T05:15:08.5157235Z [ RUN ] OpQuantizedMixedDtypeLinearTest.FloatInputFloatOutput_Partials 2024-06-26T05:15:08.5158494Z [ OK ] OpQuantizedMixedDtypeLinearTest.FloatInputFloatOutput_Partials (0 ms) 2024-06-26T05:15:08.5159444Z [----------] 2 tests from OpQuantizedMixedDtypeLinearTest (0 ms total) 2024-06-26T05:15:08.5159949Z 2024-06-26T05:15:08.5160204Z [----------] 2 tests from OpQuantizedMixedMMTest 2024-06-26T05:15:08.5160836Z [ RUN ] OpQuantizedMixedMMTest.FloatInput 2024-06-26T05:15:08.5161507Z [ OK ] OpQuantizedMixedMMTest.FloatInput (0 ms) 2024-06-26T05:15:08.5162153Z [ RUN ] OpQuantizedMixedMMTest.HalfInput 2024-06-26T05:15:08.5162814Z [ OK ] OpQuantizedMixedMMTest.HalfInput (0 ms) 2024-06-26T05:15:08.5163537Z [----------] 2 tests from OpQuantizedMixedMMTest (0 ms total) 2024-06-26T05:15:08.5164044Z 2024-06-26T05:15:08.5164271Z [----------] 4 tests from OpQuantizeOutTest 2024-06-26T05:15:08.5164894Z [ RUN ] OpQuantizeOutTest.AllDtypesSupported 2024-06-26T05:15:08.5165602Z [ OK ] OpQuantizeOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:08.5166281Z [ RUN ] OpQuantizeOutTest.TensorArgOverload 2024-06-26T05:15:08.5166979Z [ OK ] OpQuantizeOutTest.TensorArgOverload (0 ms) 2024-06-26T05:15:08.5167658Z [ RUN ] OpQuantizeOutTest.TestOutOfBounds 2024-06-26T05:15:08.5175430Z [ OK ] OpQuantizeOutTest.TestOutOfBounds (2 ms) 2024-06-26T05:15:08.5176529Z [ RUN ] OpQuantizeOutTest.QuantizePerChannel 2024-06-26T05:15:08.5177240Z [ OK ] OpQuantizeOutTest.QuantizePerChannel (0 ms) 2024-06-26T05:15:08.5177944Z [----------] 4 tests from OpQuantizeOutTest (2 ms total) 2024-06-26T05:15:08.5178332Z 2024-06-26T05:15:08.5178568Z [----------] Global test environment tear-down 2024-06-26T05:15:08.5179210Z [==========] 29 tests from 8 test suites ran. (59 ms total) 2024-06-26T05:15:08.5179825Z [ PASSED ] 29 tests. 2024-06-26T05:15:08.5238884Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test' 2024-06-26T05:15:08.5244342Z + for test_dir in $(probe_tests) 2024-06-26T05:15:08.5244735Z + build_and_run_test kernels/test 2024-06-26T05:15:08.5245103Z + local test_dir=kernels/test 2024-06-26T05:15:08.5245436Z ++ pwd 2024-06-26T05:15:08.5246900Z + cmake kernels/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/kernels/test 2024-06-26T05:15:08.5988145Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:15:08.6991574Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:15:08.7048195Z -- Detecting C compiler ABI info 2024-06-26T05:15:08.8135809Z -- Detecting C compiler ABI info - done 2024-06-26T05:15:08.8196195Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:15:08.8198659Z -- Detecting C compile features 2024-06-26T05:15:08.8202724Z -- Detecting C compile features - done 2024-06-26T05:15:08.8234192Z -- Detecting CXX compiler ABI info 2024-06-26T05:15:08.9664552Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:15:08.9729413Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:15:08.9731566Z -- Detecting CXX compile features 2024-06-26T05:15:08.9736261Z -- Detecting CXX compile features - done 2024-06-26T05:15:08.9819233Z flatccrt_d library is not found. 2024-06-26T05:15:08.9819977Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:08.9822468Z mpsdelegate library is not found. 2024-06-26T05:15:08.9823109Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:08.9825861Z qnn_executorch_backend library is not found. 2024-06-26T05:15:08.9826548Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:08.9836802Z vulkan_backend library is not found. 2024-06-26T05:15:08.9837635Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:08.9847395Z quantized_ops_aot_lib library is not found. 2024-06-26T05:15:08.9848068Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:08.9862314Z -- Looking for pthread.h 2024-06-26T05:15:09.0980970Z -- Looking for pthread.h - found 2024-06-26T05:15:09.0982088Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:15:09.2108921Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:15:09.2116519Z -- Found Threads: TRUE 2024-06-26T05:15:09.2132888Z -- Configuring done 2024-06-26T05:15:09.2359657Z -- Generating done 2024-06-26T05:15:09.2399378Z -- Build files have been written to: /executorch/cmake-out/kernels/test 2024-06-26T05:15:09.2430667Z + cmake --build cmake-out/kernels/test -j9 2024-06-26T05:15:09.2783924Z [ 0%] Generating /executorch/cmake-out/kernels/test/include/optimized/executorch/kernels/test/FunctionHeaderWrapper.h 2024-06-26T05:15:09.2785733Z [ 0%] Generating /executorch/cmake-out/kernels/test/include/portable/executorch/kernels/test/FunctionHeaderWrapper.h 2024-06-26T05:15:09.2791361Z [ 1%] Generating /executorch/cmake-out/kernels/test/include/portable/executorch/kernels/test/supported_features.cpp and header 2024-06-26T05:15:09.2799645Z [ 2%] Generating /executorch/cmake-out/kernels/test/include/optimized/executorch/kernels/test/supported_features.cpp and header 2024-06-26T05:15:09.3689476Z /executorch/kernels/test/gen_supported_features.py:11: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-06-26T05:15:09.3691641Z import pkg_resources 2024-06-26T05:15:09.3713514Z /executorch/kernels/test/gen_supported_features.py:11: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-06-26T05:15:09.3715765Z import pkg_resources 2024-06-26T05:15:09.5275685Z /executorch/kernels/test/gen_supported_features.py:11: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-06-26T05:15:09.5276869Z import pkg_resources 2024-06-26T05:15:09.5289381Z /executorch/kernels/test/gen_supported_features.py:11: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-06-26T05:15:09.5290843Z import pkg_resources 2024-06-26T05:15:09.6035186Z [ 2%] Built target generate_wrapper 2024-06-26T05:15:09.6171504Z [ 3%] Building CXX object CMakeFiles/optimized_kernels_test.dir/op_add_test.cpp.o 2024-06-26T05:15:09.6185583Z [ 3%] Building CXX object CMakeFiles/optimized_kernels_test.dir/op_bmm_test.cpp.o 2024-06-26T05:15:09.6188281Z [ 4%] Building CXX object CMakeFiles/optimized_kernels_test.dir/op_div_test.cpp.o 2024-06-26T05:15:09.6189827Z [ 4%] Building CXX object CMakeFiles/optimized_kernels_test.dir/op_exp_test.cpp.o 2024-06-26T05:15:09.6197717Z [ 5%] Building CXX object CMakeFiles/optimized_kernels_test.dir/op_mul_test.cpp.o 2024-06-26T05:15:09.6203897Z [ 6%] Building CXX object CMakeFiles/optimized_kernels_test.dir/op_le_test.cpp.o 2024-06-26T05:15:09.6231519Z [ 7%] Building CXX object CMakeFiles/portable_kernels_test.dir/op__to_dim_order_copy_test.cpp.o 2024-06-26T05:15:09.6244797Z [ 7%] 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CMakeFiles/portable_kernels_test.dir/op_select_scatter_test.cpp.o 2024-06-26T05:15:15.5077545Z [ 81%] Building CXX object CMakeFiles/portable_kernels_test.dir/op_select_copy_test.cpp.o 2024-06-26T05:15:15.5161622Z [ 82%] Building CXX object CMakeFiles/portable_kernels_test.dir/op_sigmoid_test.cpp.o 2024-06-26T05:15:15.5632697Z [ 82%] Building CXX object CMakeFiles/portable_kernels_test.dir/op_sign_test.cpp.o 2024-06-26T05:15:15.6085990Z [ 83%] Building CXX object CMakeFiles/portable_kernels_test.dir/op_sin_test.cpp.o 2024-06-26T05:15:15.6228645Z [ 83%] Building CXX object CMakeFiles/portable_kernels_test.dir/op_sinh_test.cpp.o 2024-06-26T05:15:15.6270825Z [ 84%] Building CXX object CMakeFiles/portable_kernels_test.dir/op_slice_scatter_test.cpp.o 2024-06-26T05:15:15.6964442Z [ 85%] Building CXX object CMakeFiles/portable_kernels_test.dir/op_slice_copy_test.cpp.o 2024-06-26T05:15:15.7403881Z [ 85%] Building CXX object CMakeFiles/portable_kernels_test.dir/op_softmax_test.cpp.o 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CMakeFiles/portable_kernels_test.dir/op_tan_test.cpp.o 2024-06-26T05:15:16.3157473Z [ 91%] Building CXX object CMakeFiles/portable_kernels_test.dir/op_tanh_test.cpp.o 2024-06-26T05:15:16.3160050Z [ 92%] Building CXX object CMakeFiles/portable_kernels_test.dir/op_to_copy_test.cpp.o 2024-06-26T05:15:16.3752484Z [ 93%] Building CXX object CMakeFiles/portable_kernels_test.dir/op_transpose_copy_test.cpp.o 2024-06-26T05:15:16.4129957Z [ 93%] Building CXX object CMakeFiles/portable_kernels_test.dir/op_tril_test.cpp.o 2024-06-26T05:15:16.4446267Z [ 94%] Building CXX object CMakeFiles/portable_kernels_test.dir/op_trunc_test.cpp.o 2024-06-26T05:15:16.4458525Z [ 95%] Building CXX object CMakeFiles/portable_kernels_test.dir/op_unbind_copy_test.cpp.o 2024-06-26T05:15:16.5267992Z [ 95%] Building CXX object CMakeFiles/portable_kernels_test.dir/op_unsqueeze_copy_test.cpp.o 2024-06-26T05:15:16.5986426Z [ 96%] Building CXX object CMakeFiles/portable_kernels_test.dir/op_var_test.cpp.o 2024-06-26T05:15:16.7150145Z [ 96%] Building CXX object CMakeFiles/portable_kernels_test.dir/op_view_copy_test.cpp.o 2024-06-26T05:15:16.7436098Z [ 97%] Building CXX object CMakeFiles/portable_kernels_test.dir/op_where_test.cpp.o 2024-06-26T05:15:16.7749557Z [ 98%] Building CXX object CMakeFiles/portable_kernels_test.dir/op_zeros_test.cpp.o 2024-06-26T05:15:16.7960412Z [ 98%] Building CXX object CMakeFiles/portable_kernels_test.dir/include/portable/executorch/kernels/test/supported_features.cpp.o 2024-06-26T05:15:16.8726778Z [ 99%] Building CXX object CMakeFiles/portable_kernels_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:15:17.0909070Z [100%] Linking CXX executable portable_kernels_test 2024-06-26T05:15:23.2648998Z [100%] Built target optimized_kernels_test 2024-06-26T05:15:39.0761697Z [100%] Built target portable_kernels_test 2024-06-26T05:15:39.0845451Z + [[ kernels/test =~ .*tokenizer.* ]] 2024-06-26T05:15:39.0848168Z ++ realpath extension/module/test/resources 2024-06-26T05:15:39.0856890Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:15:39.0857788Z + export RESOURCES_PATH 2024-06-26T05:15:39.0858564Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:39.0867088Z + '[' -e cmake-out/kernels/test/optimized_kernels_test ']' 2024-06-26T05:15:39.0868153Z ++ basename cmake-out/kernels/test/optimized_kernels_test 2024-06-26T05:15:39.0868885Z + LLVM_PROFILE_FILE=cmake-out/optimized_kernels_test.profraw 2024-06-26T05:15:39.0869506Z + ./cmake-out/kernels/test/optimized_kernels_test 2024-06-26T05:15:39.0885834Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:15:39.0887305Z [==========] Running 114 tests from 14 test suites. 2024-06-26T05:15:39.0888214Z [----------] Global test environment set-up. 2024-06-26T05:15:39.0888807Z [----------] 20 tests from OpAddOutKernelTest 2024-06-26T05:15:39.0889479Z [ RUN ] OpAddOutKernelTest.AllRealDtypesSupported 2024-06-26T05:15:39.0925296Z [ OK ] OpAddOutKernelTest.AllRealDtypesSupported (3 ms) 2024-06-26T05:15:39.0926395Z [ RUN ] OpAddOutKernelTest.FloatTensors 2024-06-26T05:15:39.0927387Z [ OK ] OpAddOutKernelTest.FloatTensors (0 ms) 2024-06-26T05:15:39.0928443Z [ RUN ] OpAddOutKernelTest.DoubleTensors 2024-06-26T05:15:39.0929365Z [ OK ] OpAddOutKernelTest.DoubleTensors (0 ms) 2024-06-26T05:15:39.0930391Z [ RUN ] OpAddOutKernelTest.BoolAndIntInputTensor 2024-06-26T05:15:39.0931513Z [ OK ] OpAddOutKernelTest.BoolAndIntInputTensor (0 ms) 2024-06-26T05:15:39.0932529Z [ RUN ] OpAddOutKernelTest.BoolAndBoolInputTensor 2024-06-26T05:15:39.0933712Z [ OK ] OpAddOutKernelTest.BoolAndBoolInputTensor (0 ms) 2024-06-26T05:15:39.0934907Z [ RUN ] OpAddOutKernelTest.BroadcastDimSizeIsOneAB 2024-06-26T05:15:39.0936043Z [ OK ] OpAddOutKernelTest.BroadcastDimSizeIsOneAB (0 ms) 2024-06-26T05:15:39.0936976Z [ RUN ] OpAddOutKernelTest.BroadcastDimSizeMissingAB 2024-06-26T05:15:39.0938158Z [ OK ] OpAddOutKernelTest.BroadcastDimSizeMissingAB (0 ms) 2024-06-26T05:15:39.0939509Z [ RUN ] OpAddOutKernelTest.BroadcastDimSizeIsOneBA 2024-06-26T05:15:39.0941097Z [ OK ] OpAddOutKernelTest.BroadcastDimSizeIsOneBA (0 ms) 2024-06-26T05:15:39.0942471Z [ RUN ] OpAddOutKernelTest.BroadcastDimSizeMissingBA 2024-06-26T05:15:39.0943281Z [ OK ] OpAddOutKernelTest.BroadcastDimSizeMissingBA (0 ms) 2024-06-26T05:15:39.0944023Z [ RUN ] OpAddOutKernelTest.BroadcastSupported 2024-06-26T05:15:39.0944744Z [ OK ] OpAddOutKernelTest.BroadcastSupported (0 ms) 2024-06-26T05:15:39.0945491Z [ RUN ] OpAddOutKernelTest.IntInputsFloatAlphaDies 2024-06-26T05:15:39.0946264Z [ OK ] OpAddOutKernelTest.IntInputsFloatAlphaDies (0 ms) 2024-06-26T05:15:39.0947053Z [ RUN ] OpAddOutKernelTest.BoolInputsFloatAlphaDies 2024-06-26T05:15:39.0947856Z [ OK ] OpAddOutKernelTest.BoolInputsFloatAlphaDies (0 ms) 2024-06-26T05:15:39.0948673Z [ RUN ] OpAddOutKernelTest.IntOutputWithFloatInputDies 2024-06-26T05:15:39.0949507Z [ OK ] OpAddOutKernelTest.IntOutputWithFloatInputDies (0 ms) 2024-06-26T05:15:39.0950338Z [ RUN ] OpAddOutKernelTest.BoolOutputWithIntegralInput 2024-06-26T05:15:39.0951171Z [ OK ] OpAddOutKernelTest.BoolOutputWithIntegralInput (0 ms) 2024-06-26T05:15:39.0951977Z [ RUN ] OpAddOutKernelTest.MismatchedInputShapesDies 2024-06-26T05:15:39.0952787Z [ OK ] OpAddOutKernelTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.0953607Z [ RUN ] OpAddOutKernelTest.MismatchedOutputShapesDies 2024-06-26T05:15:39.0954424Z [ OK ] OpAddOutKernelTest.MismatchedOutputShapesDies (0 ms) 2024-06-26T05:15:39.0955193Z [ RUN ] OpAddOutKernelTest.SimpleGeneratedCase 2024-06-26T05:15:39.0955917Z [ OK ] OpAddOutKernelTest.SimpleGeneratedCase (0 ms) 2024-06-26T05:15:39.0956767Z [ RUN ] OpAddOutKernelTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.0958041Z [ OK ] OpAddOutKernelTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.0959463Z [ RUN ] OpAddOutKernelTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.0961047Z [ OK ] OpAddOutKernelTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.0962278Z [ RUN ] OpAddOutKernelTest.DynamicShapeUnbound 2024-06-26T05:15:39.0963495Z /executorch/kernels/test/op_add_test.cpp:505: Skipped 2024-06-26T05:15:39.0964254Z Dynamic shape not supported 2024-06-26T05:15:39.0964946Z [ SKIPPED ] OpAddOutKernelTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.0975287Z [----------] 20 tests from OpAddOutKernelTest (4 ms total) 2024-06-26T05:15:39.0975712Z 2024-06-26T05:15:39.0976000Z [----------] 3 tests from OpAddScalarOutKernelTest 2024-06-26T05:15:39.0976653Z [ RUN ] OpAddScalarOutKernelTest.SanityCheck 2024-06-26T05:15:39.0977493Z [ OK ] OpAddScalarOutKernelTest.SanityCheck (0 ms) 2024-06-26T05:15:39.0978312Z [ RUN ] OpAddScalarOutKernelTest.OptimizedSanityCheck 2024-06-26T05:15:39.0979129Z [ OK ] OpAddScalarOutKernelTest.OptimizedSanityCheck (0 ms) 2024-06-26T05:15:39.0980088Z [ RUN ] OpAddScalarOutKernelTest.DtypeTest_float16_bool_int_float16 2024-06-26T05:15:39.0981009Z [ OK ] OpAddScalarOutKernelTest.DtypeTest_float16_bool_int_float16 (0 ms) 2024-06-26T05:15:39.0981853Z [----------] 3 tests from OpAddScalarOutKernelTest (0 ms total) 2024-06-26T05:15:39.0982405Z 2024-06-26T05:15:39.0982611Z [----------] 10 tests from OpBmmOutTest 2024-06-26T05:15:39.0983137Z [ RUN ] OpBmmOutTest.OutputDim 2024-06-26T05:15:39.0983674Z [ OK ] OpBmmOutTest.OutputDim (0 ms) 2024-06-26T05:15:39.0984250Z [ RUN ] OpBmmOutTest.OutputDimFloat 2024-06-26T05:15:39.0984842Z [ OK ] OpBmmOutTest.OutputDimFloat (0 ms) 2024-06-26T05:15:39.0985572Z [ RUN ] OpBmmOutTest.AllDtypesSupported 2024-06-26T05:15:39.0986687Z [ OK ] OpBmmOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.0987667Z [ RUN ] OpBmmOutTest.EmptyInputWithEmptyOutTensorPasses 2024-06-26T05:15:39.0988508Z [ OK ] OpBmmOutTest.EmptyInputWithEmptyOutTensorPasses (0 ms) 2024-06-26T05:15:39.0989291Z [ RUN ] OpBmmOutTest.MismatchedDimensionsDies 2024-06-26T05:15:39.0990003Z [ OK ] OpBmmOutTest.MismatchedDimensionsDies (0 ms) 2024-06-26T05:15:39.0990721Z [ RUN ] OpBmmOutTest.MismatchedDimensionSizeDies 2024-06-26T05:15:39.0991474Z [ OK ] OpBmmOutTest.MismatchedDimensionSizeDies (0 ms) 2024-06-26T05:15:39.0992160Z [ RUN ] OpBmmOutTest.WrongOutShapeDies 2024-06-26T05:15:39.0992778Z [ OK ] OpBmmOutTest.WrongOutShapeDies (0 ms) 2024-06-26T05:15:39.0993532Z [ RUN ] OpBmmOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.0994425Z [ OK ] OpBmmOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.0995330Z [ RUN ] OpBmmOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.0996255Z [ OK ] OpBmmOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.0997048Z [ RUN ] OpBmmOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.0997617Z /executorch/kernels/test/op_bmm_test.cpp:346: Skipped 2024-06-26T05:15:39.0998676Z Dynamic shape unbound not supported 2024-06-26T05:15:39.0999404Z [ SKIPPED ] OpBmmOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.1000086Z [----------] 10 tests from OpBmmOutTest (0 ms total) 2024-06-26T05:15:39.1000454Z 2024-06-26T05:15:39.1000661Z [----------] 14 tests from OpDivOutTest 2024-06-26T05:15:39.1001264Z [ RUN ] OpDivOutTest.AllRealDtypesSupported 2024-06-26T05:15:39.1001998Z [ OK ] OpDivOutTest.AllRealDtypesSupported (1 ms) 2024-06-26T05:15:39.1002812Z [ RUN ] OpDivOutTest.BroadcastSupported1 2024-06-26T05:15:39.1003456Z [ OK ] OpDivOutTest.BroadcastSupported1 (0 ms) 2024-06-26T05:15:39.1004118Z [ RUN ] OpDivOutTest.BroadcastSupported2 2024-06-26T05:15:39.1004772Z [ OK ] OpDivOutTest.BroadcastSupported2 (0 ms) 2024-06-26T05:15:39.1005498Z [ RUN ] OpDivOutTest.BroadcastScalarSupported1 2024-06-26T05:15:39.1006228Z [ OK ] OpDivOutTest.BroadcastScalarSupported1 (0 ms) 2024-06-26T05:15:39.1006952Z [ RUN ] OpDivOutTest.BroadcastScalarSupported2 2024-06-26T05:15:39.1007684Z [ OK ] OpDivOutTest.BroadcastScalarSupported2 (0 ms) 2024-06-26T05:15:39.1008384Z [ RUN ] OpDivOutTest.BroadcastDimSizeIsOneAB 2024-06-26T05:15:39.1009080Z [ OK ] OpDivOutTest.BroadcastDimSizeIsOneAB (0 ms) 2024-06-26T05:15:39.1009784Z [ RUN ] OpDivOutTest.BroadcastDimSizeMissingAB 2024-06-26T05:15:39.1010496Z [ OK ] OpDivOutTest.BroadcastDimSizeMissingAB (0 ms) 2024-06-26T05:15:39.1011201Z [ RUN ] OpDivOutTest.BroadcastDimSizeIsOneBA 2024-06-26T05:15:39.1011894Z [ OK ] OpDivOutTest.BroadcastDimSizeIsOneBA (0 ms) 2024-06-26T05:15:39.1012583Z [ RUN ] OpDivOutTest.BroadcastDimSizeMissingBA 2024-06-26T05:15:39.1013305Z [ OK ] OpDivOutTest.BroadcastDimSizeMissingBA (0 ms) 2024-06-26T05:15:39.1013995Z [ RUN ] OpDivOutTest.MismatchedShapesDies 2024-06-26T05:15:39.1014657Z [ OK ] OpDivOutTest.MismatchedShapesDies (0 ms) 2024-06-26T05:15:39.1015401Z [ RUN ] OpDivOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.1016139Z [ OK ] OpDivOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.1016930Z [ RUN ] OpDivOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.1017814Z [ OK ] OpDivOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.1018724Z [ RUN ] OpDivOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.1019732Z [ OK ] OpDivOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.1020526Z [ RUN ] OpDivOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.1021096Z /executorch/kernels/test/op_div_test.cpp:436: Skipped 2024-06-26T05:15:39.1021583Z Dynamic shape not supported 2024-06-26T05:15:39.1022110Z [ SKIPPED ] OpDivOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.1022792Z [----------] 14 tests from OpDivOutTest (2 ms total) 2024-06-26T05:15:39.1023156Z 2024-06-26T05:15:39.1023399Z [----------] 3 tests from OpDivScalarOutTest 2024-06-26T05:15:39.1024029Z [ RUN ] OpDivScalarOutTest.SanityCheckIntScalar 2024-06-26T05:15:39.1024766Z [ OK ] OpDivScalarOutTest.SanityCheckIntScalar (0 ms) 2024-06-26T05:15:39.1025520Z [ RUN ] OpDivScalarOutTest.SanityCheckFloatScalar 2024-06-26T05:15:39.1026280Z [ OK ] OpDivScalarOutTest.SanityCheckFloatScalar (0 ms) 2024-06-26T05:15:39.1027032Z [ RUN ] OpDivScalarOutTest.OptimizedSanityCheck 2024-06-26T05:15:39.1027768Z [ OK ] OpDivScalarOutTest.OptimizedSanityCheck (0 ms) 2024-06-26T05:15:39.1028490Z [----------] 3 tests from OpDivScalarOutTest (0 ms total) 2024-06-26T05:15:39.1028885Z 2024-06-26T05:15:39.1029086Z [----------] 7 tests from OpExpOutTest 2024-06-26T05:15:39.1029737Z [ RUN ] OpExpOutTest.AllFloatInputFloatOutputSupport 2024-06-26T05:15:39.1030546Z [ OK ] OpExpOutTest.AllFloatInputFloatOutputSupport (0 ms) 2024-06-26T05:15:39.1031347Z [ RUN ] OpExpOutTest.AllFloatInputDoubleOutputSupport 2024-06-26T05:15:39.1032170Z [ OK ] OpExpOutTest.AllFloatInputDoubleOutputSupport (0 ms) 2024-06-26T05:15:39.1032883Z [ RUN ] OpExpOutTest.HandleBoolInput 2024-06-26T05:15:39.1033553Z [ OK ] OpExpOutTest.HandleBoolInput (0 ms) 2024-06-26T05:15:39.1034162Z [ RUN ] OpExpOutTest.HandleHalfInput 2024-06-26T05:15:39.1034776Z [ OK ] OpExpOutTest.HandleHalfInput (0 ms) 2024-06-26T05:15:39.1035402Z [ RUN ] OpExpOutTest.MismatchedShapesDies 2024-06-26T05:15:39.1036072Z [ OK ] OpExpOutTest.MismatchedShapesDies (0 ms) 2024-06-26T05:15:39.1036809Z [ RUN ] OpExpOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.1037550Z [ OK ] OpExpOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.1038406Z [ RUN ] OpExpOutTest.DynamicOutputShape 2024-06-26T05:15:39.1039051Z [ OK ] OpExpOutTest.DynamicOutputShape (0 ms) 2024-06-26T05:15:39.1039705Z [----------] 7 tests from OpExpOutTest (0 ms total) 2024-06-26T05:15:39.1040066Z 2024-06-26T05:15:39.1040305Z [----------] 4 tests from OpLeScalarOutTest 2024-06-26T05:15:39.1040991Z [ RUN ] OpLeScalarOutTest.AllRealInputBoolOutputSupport 2024-06-26T05:15:39.1041835Z [ OK ] OpLeScalarOutTest.AllRealInputBoolOutputSupport (0 ms) 2024-06-26T05:15:39.1042576Z [ RUN ] OpLeScalarOutTest.BoolInputDtype 2024-06-26T05:15:39.1043219Z [ OK ] OpLeScalarOutTest.BoolInputDtype (0 ms) 2024-06-26T05:15:39.1043936Z [ RUN ] OpLeScalarOutTest.MismatchedInOutShapesDies 2024-06-26T05:15:39.1044725Z [ OK ] OpLeScalarOutTest.MismatchedInOutShapesDies (0 ms) 2024-06-26T05:15:39.1045463Z [ RUN ] OpLeScalarOutTest.DynamicOutShapeTest 2024-06-26T05:15:39.1046226Z [ OK ] OpLeScalarOutTest.DynamicOutShapeTest (0 ms) 2024-06-26T05:15:39.1046930Z [----------] 4 tests from OpLeScalarOutTest (0 ms total) 2024-06-26T05:15:39.1047311Z 2024-06-26T05:15:39.1047550Z [----------] 4 tests from OpLeTensorOutTest 2024-06-26T05:15:39.1048155Z [ RUN ] OpLeTensorOutTest.AllDtypesSupported 2024-06-26T05:15:39.1048862Z [ OK ] OpLeTensorOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.1049586Z [ RUN ] OpLeTensorOutTest.MismatchedInShapesDies 2024-06-26T05:15:39.1050322Z [ OK ] OpLeTensorOutTest.MismatchedInShapesDies (0 ms) 2024-06-26T05:15:39.1051090Z [ RUN ] OpLeTensorOutTest.MismatchedInOutShapesDies 2024-06-26T05:15:39.1051878Z [ OK ] OpLeTensorOutTest.MismatchedInOutShapesDies (0 ms) 2024-06-26T05:15:39.1052614Z [ RUN ] OpLeTensorOutTest.DynamicOutShapeTest 2024-06-26T05:15:39.1053326Z [ OK ] OpLeTensorOutTest.DynamicOutShapeTest (0 ms) 2024-06-26T05:15:39.1054024Z [----------] 4 tests from OpLeTensorOutTest (0 ms total) 2024-06-26T05:15:39.1054408Z 2024-06-26T05:15:39.1054614Z [----------] 17 tests from OpMulOutTest 2024-06-26T05:15:39.1055210Z [ RUN ] OpMulOutTest.AllRealDtypesSupported 2024-06-26T05:15:39.1074722Z [ OK ] OpMulOutTest.AllRealDtypesSupported (8 ms) 2024-06-26T05:15:39.1075792Z [ RUN ] OpMulOutTest.FloatTensors 2024-06-26T05:15:39.1076702Z [ OK ] OpMulOutTest.FloatTensors (0 ms) 2024-06-26T05:15:39.1077496Z [ RUN ] OpMulOutTest.DoubleTensors 2024-06-26T05:15:39.1078491Z [ OK ] OpMulOutTest.DoubleTensors (0 ms) 2024-06-26T05:15:39.1079371Z [ RUN ] OpMulOutTest.BoolTensors 2024-06-26T05:15:39.1080278Z [ OK ] OpMulOutTest.BoolTensors (0 ms) 2024-06-26T05:15:39.1081371Z [ RUN ] OpMulOutTest.MismatchedInputShapesDies 2024-06-26T05:15:39.1082097Z [ OK ] OpMulOutTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.1082769Z [ RUN ] OpMulOutTest.BroadcastA2BTest 2024-06-26T05:15:39.1083400Z [ OK ] OpMulOutTest.BroadcastA2BTest (0 ms) 2024-06-26T05:15:39.1084015Z [ RUN ] OpMulOutTest.BroadcastB2ATest 2024-06-26T05:15:39.1084616Z [ OK ] OpMulOutTest.BroadcastB2ATest (0 ms) 2024-06-26T05:15:39.1085379Z [ RUN ] OpMulOutTest.BroadcastAB2CTest 2024-06-26T05:15:39.1086012Z [ OK ] OpMulOutTest.BroadcastAB2CTest (0 ms) 2024-06-26T05:15:39.1086661Z [ RUN ] OpMulOutTest.ScalarInputBroadcastTest 2024-06-26T05:15:39.1089240Z [ OK ] OpMulOutTest.ScalarInputBroadcastTest (0 ms) 2024-06-26T05:15:39.1090488Z [ RUN ] OpMulOutTest.MismatchedOutputShapesDies 2024-06-26T05:15:39.1091305Z [ OK ] OpMulOutTest.MismatchedOutputShapesDies (0 ms) 2024-06-26T05:15:39.1092034Z [ RUN ] OpMulOutTest.BroadcastDimSizeIsOneAB 2024-06-26T05:15:39.1092729Z [ OK ] OpMulOutTest.BroadcastDimSizeIsOneAB (0 ms) 2024-06-26T05:15:39.1093421Z [ RUN ] OpMulOutTest.BroadcastDimSizeMissingAB 2024-06-26T05:15:39.1094149Z [ OK ] OpMulOutTest.BroadcastDimSizeMissingAB (0 ms) 2024-06-26T05:15:39.1094855Z [ RUN ] OpMulOutTest.BroadcastDimSizeIsOneBA 2024-06-26T05:15:39.1095556Z [ OK ] OpMulOutTest.BroadcastDimSizeIsOneBA (0 ms) 2024-06-26T05:15:39.1100234Z [ RUN ] OpMulOutTest.BroadcastDimSizeMissingBA 2024-06-26T05:15:39.1101466Z [ OK ] OpMulOutTest.BroadcastDimSizeMissingBA (0 ms) 2024-06-26T05:15:39.1102730Z [ RUN ] OpMulOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.1104197Z [ OK ] OpMulOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.1105210Z [ RUN ] OpMulOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.1106433Z [ OK ] OpMulOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.1107637Z [ RUN ] OpMulOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.1108577Z /executorch/kernels/test/op_mul_test.cpp:446: Skipped 2024-06-26T05:15:39.1109058Z Dynamic shape not supported 2024-06-26T05:15:39.1109592Z [ SKIPPED ] OpMulOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.1110282Z [----------] 17 tests from OpMulOutTest (9 ms total) 2024-06-26T05:15:39.1110651Z 2024-06-26T05:15:39.1110895Z [----------] 2 tests from OpMulScalarOutTest 2024-06-26T05:15:39.1111474Z [ RUN ] OpMulScalarOutTest.SanityCheck 2024-06-26T05:15:39.1112103Z [ OK ] OpMulScalarOutTest.SanityCheck (0 ms) 2024-06-26T05:15:39.1112793Z [ RUN ] OpMulScalarOutTest.OptimizedSanityCheck 2024-06-26T05:15:39.1113549Z [ OK ] OpMulScalarOutTest.OptimizedSanityCheck (0 ms) 2024-06-26T05:15:39.1114269Z [----------] 2 tests from OpMulScalarOutTest (0 ms total) 2024-06-26T05:15:39.1114673Z 2024-06-26T05:15:39.1114918Z [----------] 6 tests from OpNativeLayerNormTest 2024-06-26T05:15:39.1115542Z [ RUN ] OpNativeLayerNormTest.FloatTensors 2024-06-26T05:15:39.1116207Z [ OK ] OpNativeLayerNormTest.FloatTensors (0 ms) 2024-06-26T05:15:39.1116903Z [ RUN ] OpNativeLayerNormTest.IntTensorsDies 2024-06-26T05:15:39.1117604Z [ OK ] OpNativeLayerNormTest.IntTensorsDies (0 ms) 2024-06-26T05:15:39.1118665Z [ RUN ] OpNativeLayerNormTest.WrongNomalizedShape 2024-06-26T05:15:39.1119723Z [ OK ] OpNativeLayerNormTest.WrongNomalizedShape (0 ms) 2024-06-26T05:15:39.1120606Z [ RUN ] OpNativeLayerNormTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.1121615Z [ OK ] OpNativeLayerNormTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.1122669Z [ RUN ] OpNativeLayerNormTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.1123757Z [ OK ] OpNativeLayerNormTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.1124683Z [ RUN ] OpNativeLayerNormTest.DynamicShapeUnbound 2024-06-26T05:15:39.1125374Z /executorch/kernels/test/op_native_layer_norm_test.cpp:420: Skipped 2024-06-26T05:15:39.1126118Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1126774Z [ SKIPPED ] OpNativeLayerNormTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.1127541Z [----------] 6 tests from OpNativeLayerNormTest (0 ms total) 2024-06-26T05:15:39.1127955Z 2024-06-26T05:15:39.1128140Z [----------] 1 test from OpNegTest 2024-06-26T05:15:39.1128690Z [ RUN ] OpNegTest.SanityCheck 2024-06-26T05:15:39.1129212Z [ OK ] OpNegTest.SanityCheck (0 ms) 2024-06-26T05:15:39.1129797Z [----------] 1 test from OpNegTest (0 ms total) 2024-06-26T05:15:39.1130158Z 2024-06-26T05:15:39.1130361Z [----------] 20 tests from OpSubOutTest 2024-06-26T05:15:39.1130953Z [ RUN ] OpSubOutTest.AllRealDtypesSupported 2024-06-26T05:15:39.1136730Z [ OK ] OpSubOutTest.AllRealDtypesSupported (4 ms) 2024-06-26T05:15:39.1138568Z [ RUN ] OpSubOutTest.FloatTensors 2024-06-26T05:15:39.1139785Z [ OK ] OpSubOutTest.FloatTensors (0 ms) 2024-06-26T05:15:39.1140965Z [ RUN ] OpSubOutTest.DoubleTensors 2024-06-26T05:15:39.1141998Z [ OK ] OpSubOutTest.DoubleTensors (0 ms) 2024-06-26T05:15:39.1142921Z [ RUN ] OpSubOutTest.BroadcastSupported 2024-06-26T05:15:39.1143937Z [ OK ] OpSubOutTest.BroadcastSupported (0 ms) 2024-06-26T05:15:39.1144926Z [ RUN ] OpSubOutTest.BroadcastSupported2 2024-06-26T05:15:39.1145872Z [ OK ] OpSubOutTest.BroadcastSupported2 (0 ms) 2024-06-26T05:15:39.1147223Z [ RUN ] OpSubOutTest.BroadcastScalarSupported1 2024-06-26T05:15:39.1148377Z [ OK ] OpSubOutTest.BroadcastScalarSupported1 (0 ms) 2024-06-26T05:15:39.1149103Z [ RUN ] OpSubOutTest.BroadcastScalarSupported2 2024-06-26T05:15:39.1149825Z [ OK ] OpSubOutTest.BroadcastScalarSupported2 (0 ms) 2024-06-26T05:15:39.1150526Z [ RUN ] OpSubOutTest.IntTensorFloatAlphaDies 2024-06-26T05:15:39.1151261Z [ OK ] OpSubOutTest.IntTensorFloatAlphaDies (0 ms) 2024-06-26T05:15:39.1151942Z [ RUN ] OpSubOutTest.BoolInputTensorsFail 2024-06-26T05:15:39.1152597Z [ OK ] OpSubOutTest.BoolInputTensorsFail (0 ms) 2024-06-26T05:15:39.1153303Z [ RUN ] OpSubOutTest.IntOutputWithFloatInputDies 2024-06-26T05:15:39.1154056Z [ OK ] OpSubOutTest.IntOutputWithFloatInputDies (0 ms) 2024-06-26T05:15:39.1154811Z [ RUN ] OpSubOutTest.BoolOutputWithIntegralInput 2024-06-26T05:15:39.1155566Z [ OK ] OpSubOutTest.BoolOutputWithIntegralInput (0 ms) 2024-06-26T05:15:39.1156298Z [ RUN ] OpSubOutTest.MismatchedInputShapesDies 2024-06-26T05:15:39.1157025Z [ OK ] OpSubOutTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.1157741Z [ RUN ] OpSubOutTest.MismatchedOutputShapesDies 2024-06-26T05:15:39.1158665Z [ OK ] OpSubOutTest.MismatchedOutputShapesDies (0 ms) 2024-06-26T05:15:39.1159391Z [ RUN ] OpSubOutTest.BroadcastDimSizeIsOneAB 2024-06-26T05:15:39.1160079Z [ OK ] OpSubOutTest.BroadcastDimSizeIsOneAB (0 ms) 2024-06-26T05:15:39.1160782Z [ RUN ] OpSubOutTest.BroadcastDimSizeMissingAB 2024-06-26T05:15:39.1161505Z [ OK ] OpSubOutTest.BroadcastDimSizeMissingAB (0 ms) 2024-06-26T05:15:39.1162210Z [ RUN ] OpSubOutTest.BroadcastDimSizeIsOneBA 2024-06-26T05:15:39.1162902Z [ OK ] OpSubOutTest.BroadcastDimSizeIsOneBA (0 ms) 2024-06-26T05:15:39.1163607Z [ RUN ] OpSubOutTest.BroadcastDimSizeMissingBA 2024-06-26T05:15:39.1164321Z [ OK ] OpSubOutTest.BroadcastDimSizeMissingBA (0 ms) 2024-06-26T05:15:39.1165101Z [ RUN ] OpSubOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.1165990Z [ OK ] OpSubOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.1167041Z [ RUN ] OpSubOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.1167970Z [ OK ] OpSubOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.1168770Z [ RUN ] OpSubOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.1169335Z /executorch/kernels/test/op_sub_test.cpp:478: Skipped 2024-06-26T05:15:39.1169805Z Dynamic shape not supported 2024-06-26T05:15:39.1170398Z [ SKIPPED ] OpSubOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.1171077Z [----------] 20 tests from OpSubOutTest (5 ms total) 2024-06-26T05:15:39.1171451Z 2024-06-26T05:15:39.1171684Z [----------] 3 tests from OpSubScalarOutTest 2024-06-26T05:15:39.1172277Z [ RUN ] OpSubScalarOutTest.SanityCheck 2024-06-26T05:15:39.1172912Z [ OK ] OpSubScalarOutTest.SanityCheck (0 ms) 2024-06-26T05:15:39.1173581Z [ RUN ] OpSubScalarOutTest.OptimizedSanityCheck 2024-06-26T05:15:39.1174323Z [ OK ] OpSubScalarOutTest.OptimizedSanityCheck (0 ms) 2024-06-26T05:15:39.1175127Z [ RUN ] OpSubScalarOutTest.DtypeTest_float16_float_int_float16 2024-06-26T05:15:39.1175981Z [ OK ] OpSubScalarOutTest.DtypeTest_float16_float_int_float16 (0 ms) 2024-06-26T05:15:39.1176745Z [----------] 3 tests from OpSubScalarOutTest (0 ms total) 2024-06-26T05:15:39.1177145Z 2024-06-26T05:15:39.1177387Z [----------] Global test environment tear-down 2024-06-26T05:15:39.1178022Z [==========] 114 tests from 14 test suites ran. (25 ms total) 2024-06-26T05:15:39.1178615Z [ PASSED ] 108 tests. 2024-06-26T05:15:39.1179068Z [ SKIPPED ] 6 tests, listed below: 2024-06-26T05:15:39.1179768Z [ SKIPPED ] OpAddOutKernelTest.DynamicShapeUnbound 2024-06-26T05:15:39.1180445Z [ SKIPPED ] OpBmmOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.1181078Z [ SKIPPED ] OpDivOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.1181708Z [ SKIPPED ] OpMulOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.1182390Z [ SKIPPED ] OpNativeLayerNormTest.DynamicShapeUnbound 2024-06-26T05:15:39.1183082Z [ SKIPPED ] OpSubOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.1244710Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test' 2024-06-26T05:15:39.1250916Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:39.1251473Z + '[' -e cmake-out/kernels/test/portable_kernels_test ']' 2024-06-26T05:15:39.1252105Z ++ basename cmake-out/kernels/test/portable_kernels_test 2024-06-26T05:15:39.1252754Z + LLVM_PROFILE_FILE=cmake-out/portable_kernels_test.profraw 2024-06-26T05:15:39.1253343Z + ./cmake-out/kernels/test/portable_kernels_test 2024-06-26T05:15:39.1293109Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:15:39.1304708Z [==========] Running 1183 tests from 153 test suites. 2024-06-26T05:15:39.1305302Z [----------] Global test environment set-up. 2024-06-26T05:15:39.1305900Z [----------] 13 tests from OpToDimOrderCopyTest 2024-06-26T05:15:39.1306560Z [ RUN ] OpToDimOrderCopyTest.AllDtypesSupported 2024-06-26T05:15:39.1324537Z [ OK ] OpToDimOrderCopyTest.AllDtypesSupported (1 ms) 2024-06-26T05:15:39.1325409Z [ RUN ] OpToDimOrderCopyTest.BoolTests 2024-06-26T05:15:39.1326219Z [ OK ] OpToDimOrderCopyTest.BoolTests (0 ms) 2024-06-26T05:15:39.1326994Z [ RUN ] OpToDimOrderCopyTest.NanInfSupported 2024-06-26T05:15:39.1327892Z [ OK ] OpToDimOrderCopyTest.NanInfSupported (0 ms) 2024-06-26T05:15:39.1329004Z [ RUN ] OpToDimOrderCopyTest.HardcodeFloatConvertInt 2024-06-26T05:15:39.1330439Z [ OK ] OpToDimOrderCopyTest.HardcodeFloatConvertInt (0 ms) 2024-06-26T05:15:39.1331599Z [ RUN ] OpToDimOrderCopyTest.MismatchedSizesDie 2024-06-26T05:15:39.1332622Z [ OK ] OpToDimOrderCopyTest.MismatchedSizesDie (0 ms) 2024-06-26T05:15:39.1333804Z [ RUN ] OpToDimOrderCopyTest.MismatchedMemoryFormatDies 2024-06-26T05:15:39.1334706Z [ OK ] OpToDimOrderCopyTest.MismatchedMemoryFormatDies (0 ms) 2024-06-26T05:15:39.1335541Z [ RUN ] OpToDimOrderCopyTest.MismatchedBlockingDie 2024-06-26T05:15:39.1336344Z [ OK ] OpToDimOrderCopyTest.MismatchedBlockingDie (0 ms) 2024-06-26T05:15:39.1337278Z [ RUN ] OpToDimOrderCopyTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.1338342Z [ OK ] OpToDimOrderCopyTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.1339412Z [ RUN ] OpToDimOrderCopyTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.1340682Z [ OK ] OpToDimOrderCopyTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.1341628Z [ RUN ] OpToDimOrderCopyTest.DynamicShapeUnbound 2024-06-26T05:15:39.1342353Z /executorch/kernels/test/op__to_dim_order_copy_test.cpp:540: Skipped 2024-06-26T05:15:39.1342938Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1343620Z [ SKIPPED ] OpToDimOrderCopyTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.1344420Z [ RUN ] OpToDimOrderCopyTest.ContiguousToChannelsLast 2024-06-26T05:15:39.1345235Z [ OK ] OpToDimOrderCopyTest.ContiguousToChannelsLast (0 ms) 2024-06-26T05:15:39.1346050Z [ RUN ] OpToDimOrderCopyTest.ChannelsLastToContiguous 2024-06-26T05:15:39.1346943Z [ OK ] OpToDimOrderCopyTest.ChannelsLastToContiguous (0 ms) 2024-06-26T05:15:39.1347765Z [ RUN ] OpToDimOrderCopyTest.PreserveChanneslLast 2024-06-26T05:15:39.1348536Z [ OK ] OpToDimOrderCopyTest.PreserveChanneslLast (0 ms) 2024-06-26T05:15:39.1349278Z [----------] 13 tests from OpToDimOrderCopyTest (2 ms total) 2024-06-26T05:15:39.1349695Z 2024-06-26T05:15:39.1349878Z [----------] 1 test from OpAbsTest 2024-06-26T05:15:39.1350377Z [ RUN ] OpAbsTest.SanityCheck 2024-06-26T05:15:39.1350902Z [ OK ] OpAbsTest.SanityCheck (0 ms) 2024-06-26T05:15:39.1351487Z [----------] 1 test from OpAbsTest (0 ms total) 2024-06-26T05:15:39.1351846Z 2024-06-26T05:15:39.1352052Z [----------] 11 tests from OpAcosOutTest 2024-06-26T05:15:39.1354762Z [ RUN ] OpAcosOutTest.HandleBoolInput 2024-06-26T05:15:39.1355609Z [ OK ] OpAcosOutTest.HandleBoolInput (0 ms) 2024-06-26T05:15:39.1356495Z [ RUN ] OpAcosOutTest.AllRealInputHalfOutputStaticDynamismSupport 2024-06-26T05:15:39.1357677Z [ OK ] OpAcosOutTest.AllRealInputHalfOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1359324Z [ RUN ] OpAcosOutTest.AllRealInputFloatOutputStaticDynamismSupport 2024-06-26T05:15:39.1360468Z [ OK ] OpAcosOutTest.AllRealInputFloatOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1361559Z [ RUN ] OpAcosOutTest.AllRealInputDoubleOutputStaticDynamismSupport 2024-06-26T05:15:39.1362633Z [ OK ] OpAcosOutTest.AllRealInputDoubleOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1363784Z [ RUN ] OpAcosOutTest.AllRealInputHalfOutputBoundDynamismSupport 2024-06-26T05:15:39.1364818Z [ OK ] OpAcosOutTest.AllRealInputHalfOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1365820Z [ RUN ] OpAcosOutTest.AllRealInputFloatOutputBoundDynamismSupport 2024-06-26T05:15:39.1366862Z [ OK ] OpAcosOutTest.AllRealInputFloatOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1367862Z [ RUN ] OpAcosOutTest.AllRealInputDoubleOutputBoundDynamismSupport 2024-06-26T05:15:39.1368936Z [ OK ] OpAcosOutTest.AllRealInputDoubleOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1369960Z [ RUN ] OpAcosOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.1370698Z /executorch/kernels/test/op_acos_test.cpp:132: Skipped 2024-06-26T05:15:39.1371192Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1371988Z [ SKIPPED ] OpAcosOutTest.AllRealInputFloatOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.1373045Z [ RUN ] OpAcosOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.1373792Z /executorch/kernels/test/op_acos_test.cpp:143: Skipped 2024-06-26T05:15:39.1374287Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1375075Z [ SKIPPED ] OpAcosOutTest.AllRealInputDoubleOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.1376061Z [ RUN ] OpAcosOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.1376812Z [ OK ] OpAcosOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.1377594Z [ RUN ] OpAcosOutTest.MismatchedInputShapesDies 2024-06-26T05:15:39.1378329Z [ OK ] OpAcosOutTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.1379036Z [----------] 11 tests from OpAcosOutTest (0 ms total) 2024-06-26T05:15:39.1379404Z 2024-06-26T05:15:39.1379627Z [----------] 9 tests from OpAcoshOutTest 2024-06-26T05:15:39.1380277Z [ RUN ] OpAcoshOutTest.HandleBoolInput 2024-06-26T05:15:39.1380908Z [ OK ] OpAcoshOutTest.HandleBoolInput (0 ms) 2024-06-26T05:15:39.1381737Z [ RUN ] OpAcoshOutTest.AllRealInputFloatOutputStaticDynamismSupport 2024-06-26T05:15:39.1382783Z [ OK ] OpAcoshOutTest.AllRealInputFloatOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1383824Z [ RUN ] OpAcoshOutTest.AllRealInputDoubleOutputStaticDynamismSupport 2024-06-26T05:15:39.1384874Z [ OK ] OpAcoshOutTest.AllRealInputDoubleOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1386068Z [ RUN ] OpAcoshOutTest.AllRealInputFloatOutputBoundDynamismSupport 2024-06-26T05:15:39.1387547Z [ OK ] OpAcoshOutTest.AllRealInputFloatOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1389504Z [ RUN ] OpAcoshOutTest.AllRealInputDoubleOutputBoundDynamismSupport 2024-06-26T05:15:39.1391159Z [ OK ] OpAcoshOutTest.AllRealInputDoubleOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1392957Z [ RUN ] OpAcoshOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.1394245Z /executorch/kernels/test/op_acosh_test.cpp:111: Skipped 2024-06-26T05:15:39.1395105Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1396586Z [ SKIPPED ] OpAcoshOutTest.AllRealInputFloatOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.1397824Z [ RUN ] OpAcoshOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.1398885Z /executorch/kernels/test/op_acosh_test.cpp:122: Skipped 2024-06-26T05:15:39.1399378Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1400194Z [ SKIPPED ] OpAcoshOutTest.AllRealInputDoubleOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.1401139Z [ RUN ] OpAcoshOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.1401952Z [ OK ] OpAcoshOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.1402832Z [ RUN ] OpAcoshOutTest.MismatchedInputShapesDies 2024-06-26T05:15:39.1403589Z [ OK ] OpAcoshOutTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.1404296Z [----------] 9 tests from OpAcoshOutTest (0 ms total) 2024-06-26T05:15:39.1404672Z 2024-06-26T05:15:39.1404907Z [----------] 20 tests from OpAddOutKernelTest 2024-06-26T05:15:39.1405616Z [ RUN ] OpAddOutKernelTest.AllRealDtypesSupported 2024-06-26T05:15:39.1406415Z [ OK ] OpAddOutKernelTest.AllRealDtypesSupported (3 ms) 2024-06-26T05:15:39.1407113Z [ RUN ] OpAddOutKernelTest.FloatTensors 2024-06-26T05:15:39.1407744Z [ OK ] OpAddOutKernelTest.FloatTensors (0 ms) 2024-06-26T05:15:39.1408390Z [ RUN ] OpAddOutKernelTest.DoubleTensors 2024-06-26T05:15:39.1409040Z [ OK ] OpAddOutKernelTest.DoubleTensors (0 ms) 2024-06-26T05:15:39.1409727Z [ RUN ] OpAddOutKernelTest.BoolAndIntInputTensor 2024-06-26T05:15:39.1410476Z [ OK ] OpAddOutKernelTest.BoolAndIntInputTensor (0 ms) 2024-06-26T05:15:39.1411233Z [ RUN ] OpAddOutKernelTest.BoolAndBoolInputTensor 2024-06-26T05:15:39.1411984Z [ OK ] OpAddOutKernelTest.BoolAndBoolInputTensor (0 ms) 2024-06-26T05:15:39.1412746Z [ RUN ] OpAddOutKernelTest.BroadcastDimSizeIsOneAB 2024-06-26T05:15:39.1413520Z [ OK ] OpAddOutKernelTest.BroadcastDimSizeIsOneAB (0 ms) 2024-06-26T05:15:39.1414289Z [ RUN ] OpAddOutKernelTest.BroadcastDimSizeMissingAB 2024-06-26T05:15:39.1415136Z [ OK ] OpAddOutKernelTest.BroadcastDimSizeMissingAB (0 ms) 2024-06-26T05:15:39.1415917Z [ RUN ] OpAddOutKernelTest.BroadcastDimSizeIsOneBA 2024-06-26T05:15:39.1416696Z [ OK ] OpAddOutKernelTest.BroadcastDimSizeIsOneBA (0 ms) 2024-06-26T05:15:39.1417469Z [ RUN ] OpAddOutKernelTest.BroadcastDimSizeMissingBA 2024-06-26T05:15:39.1418274Z [ OK ] OpAddOutKernelTest.BroadcastDimSizeMissingBA (0 ms) 2024-06-26T05:15:39.1419029Z [ RUN ] OpAddOutKernelTest.BroadcastSupported 2024-06-26T05:15:39.1419815Z [ OK ] OpAddOutKernelTest.BroadcastSupported (0 ms) 2024-06-26T05:15:39.1420562Z [ RUN ] OpAddOutKernelTest.IntInputsFloatAlphaDies 2024-06-26T05:15:39.1421351Z [ OK ] OpAddOutKernelTest.IntInputsFloatAlphaDies (0 ms) 2024-06-26T05:15:39.1422216Z [ RUN ] OpAddOutKernelTest.BoolInputsFloatAlphaDies 2024-06-26T05:15:39.1423242Z [ OK ] OpAddOutKernelTest.BoolInputsFloatAlphaDies (0 ms) 2024-06-26T05:15:39.1424191Z [ RUN ] OpAddOutKernelTest.IntOutputWithFloatInputDies 2024-06-26T05:15:39.1425204Z [ OK ] OpAddOutKernelTest.IntOutputWithFloatInputDies (0 ms) 2024-06-26T05:15:39.1426055Z [ RUN ] OpAddOutKernelTest.BoolOutputWithIntegralInput 2024-06-26T05:15:39.1426945Z [ OK ] OpAddOutKernelTest.BoolOutputWithIntegralInput (0 ms) 2024-06-26T05:15:39.1427968Z [ RUN ] OpAddOutKernelTest.MismatchedInputShapesDies 2024-06-26T05:15:39.1428792Z [ OK ] OpAddOutKernelTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.1429638Z [ RUN ] OpAddOutKernelTest.MismatchedOutputShapesDies 2024-06-26T05:15:39.1430501Z [ OK ] OpAddOutKernelTest.MismatchedOutputShapesDies (0 ms) 2024-06-26T05:15:39.1431293Z [ RUN ] OpAddOutKernelTest.SimpleGeneratedCase 2024-06-26T05:15:39.1432051Z [ OK ] OpAddOutKernelTest.SimpleGeneratedCase (0 ms) 2024-06-26T05:15:39.1432930Z [ RUN ] OpAddOutKernelTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.1433973Z [ OK ] OpAddOutKernelTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.1435180Z [ RUN ] OpAddOutKernelTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.1436352Z [ OK ] OpAddOutKernelTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.1437277Z [ RUN ] OpAddOutKernelTest.DynamicShapeUnbound 2024-06-26T05:15:39.1437987Z /executorch/kernels/test/op_add_test.cpp:505: Skipped 2024-06-26T05:15:39.1438604Z Dynamic shape not supported 2024-06-26T05:15:39.1439234Z [ SKIPPED ] OpAddOutKernelTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.1440623Z [----------] 20 tests from OpAddOutKernelTest (4 ms total) 2024-06-26T05:15:39.1441409Z 2024-06-26T05:15:39.1441915Z [----------] 3 tests from OpAddScalarOutKernelTest 2024-06-26T05:15:39.1443068Z [ RUN ] OpAddScalarOutKernelTest.SanityCheck 2024-06-26T05:15:39.1444396Z [ OK ] OpAddScalarOutKernelTest.SanityCheck (0 ms) 2024-06-26T05:15:39.1445678Z [ RUN ] OpAddScalarOutKernelTest.OptimizedSanityCheck 2024-06-26T05:15:39.1447264Z [ OK ] OpAddScalarOutKernelTest.OptimizedSanityCheck (0 ms) 2024-06-26T05:15:39.1448919Z [ RUN ] OpAddScalarOutKernelTest.DtypeTest_float16_bool_int_float16 2024-06-26T05:15:39.1450582Z [ OK ] OpAddScalarOutKernelTest.DtypeTest_float16_bool_int_float16 (0 ms) 2024-06-26T05:15:39.1452111Z [----------] 3 tests from OpAddScalarOutKernelTest (0 ms total) 2024-06-26T05:15:39.1452862Z 2024-06-26T05:15:39.1453267Z [----------] 16 tests from OpAddmmOutTest 2024-06-26T05:15:39.1454196Z [ RUN ] OpAddmmOutTest.OutputDim 2024-06-26T05:15:39.1455271Z [ OK ] OpAddmmOutTest.OutputDim (0 ms) 2024-06-26T05:15:39.1456478Z [ RUN ] OpAddmmOutTest.AllDtypesSupported 2024-06-26T05:15:39.1457694Z [ OK ] OpAddmmOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.1459124Z [ RUN ] OpAddmmOutTest.EmptyInputWithEmptyOutTensorPasses 2024-06-26T05:15:39.1460857Z [ OK ] OpAddmmOutTest.EmptyInputWithEmptyOutTensorPasses (0 ms) 2024-06-26T05:15:39.1462568Z [ RUN ] OpAddmmOutTest.FloatTensorDtypeAndIntScalarTypePasses 2024-06-26T05:15:39.1464308Z [ OK ] OpAddmmOutTest.FloatTensorDtypeAndIntScalarTypePasses (0 ms) 2024-06-26T05:15:39.1466079Z [ RUN ] OpAddmmOutTest.IntTensorDtypeAndFloatScalarTypePasses 2024-06-26T05:15:39.1467610Z [ OK ] OpAddmmOutTest.IntTensorDtypeAndFloatScalarTypePasses (0 ms) 2024-06-26T05:15:39.1469274Z [ RUN ] OpAddmmOutTest.InfinityTensorAndFloatScalarTypePasses 2024-06-26T05:15:39.1471076Z [ OK ] OpAddmmOutTest.InfinityTensorAndFloatScalarTypePasses (0 ms) 2024-06-26T05:15:39.1472659Z [ RUN ] OpAddmmOutTest.MismatchedDimensionsDies 2024-06-26T05:15:39.1473677Z [ OK ] OpAddmmOutTest.MismatchedDimensionsDies (0 ms) 2024-06-26T05:15:39.1474849Z [ RUN ] OpAddmmOutTest.MismatchedDimensionSizeDies 2024-06-26T05:15:39.1475768Z [ OK ] OpAddmmOutTest.MismatchedDimensionSizeDies (0 ms) 2024-06-26T05:15:39.1476590Z [ RUN ] OpAddmmOutTest.WrongOutShapeDies 2024-06-26T05:15:39.1477548Z [ OK ] OpAddmmOutTest.WrongOutShapeDies (0 ms) 2024-06-26T05:15:39.1478607Z [ RUN ] OpAddmmOutTest.BroadcastTest 2024-06-26T05:15:39.1479408Z [ OK ] OpAddmmOutTest.BroadcastTest (0 ms) 2024-06-26T05:15:39.1480418Z [ RUN ] OpAddmmOutTest.BroadcastDimSize1 2024-06-26T05:15:39.1481207Z [ OK ] OpAddmmOutTest.BroadcastDimSize1 (0 ms) 2024-06-26T05:15:39.1481906Z [ RUN ] OpAddmmOutTest.BroadcastDimSizeMissing 2024-06-26T05:15:39.1482823Z [ OK ] OpAddmmOutTest.BroadcastDimSizeMissing (0 ms) 2024-06-26T05:15:39.1483941Z [ RUN ] OpAddmmOutTest.BroadcastDimSizeIsOne 2024-06-26T05:15:39.1485081Z [ OK ] OpAddmmOutTest.BroadcastDimSizeIsOne (0 ms) 2024-06-26T05:15:39.1486288Z [ RUN ] OpAddmmOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.1487586Z [ OK ] OpAddmmOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.1488961Z [ RUN ] OpAddmmOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.1490564Z [ OK ] OpAddmmOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.1491523Z [ RUN ] OpAddmmOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.1492238Z /executorch/kernels/test/op_addmm_test.cpp:533: Skipped 2024-06-26T05:15:39.1492794Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1493475Z [ SKIPPED ] OpAddmmOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.1494296Z [----------] 16 tests from OpAddmmOutTest (0 ms total) 2024-06-26T05:15:39.1494790Z 2024-06-26T05:15:39.1495077Z [----------] 5 tests from OpAmaxOutTest 2024-06-26T05:15:39.1495736Z [ RUN ] OpAmaxOutTest.InvalidDimensionListDies 2024-06-26T05:15:39.1496649Z [ OK ] OpAmaxOutTest.InvalidDimensionListDies (0 ms) 2024-06-26T05:15:39.1497327Z [ RUN ] OpAmaxOutTest.InvalidShapeDies 2024-06-26T05:15:39.1497942Z [ OK ] OpAmaxOutTest.InvalidShapeDies (0 ms) 2024-06-26T05:15:39.1498593Z [ RUN ] OpAmaxOutTest.MismatchedDTypesDies 2024-06-26T05:15:39.1499411Z [ OK ] OpAmaxOutTest.MismatchedDTypesDies (0 ms) 2024-06-26T05:15:39.1500376Z [ RUN ] OpAmaxOutTest.AllRealInputOutputPasses 2024-06-26T05:15:39.1501089Z [ OK ] OpAmaxOutTest.AllRealInputOutputPasses (0 ms) 2024-06-26T05:15:39.1502056Z [ RUN ] OpAmaxOutTest.InfinityAndNANTest 2024-06-26T05:15:39.1502805Z [ OK ] OpAmaxOutTest.InfinityAndNANTest (0 ms) 2024-06-26T05:15:39.1503452Z [----------] 5 tests from OpAmaxOutTest (0 ms total) 2024-06-26T05:15:39.1504003Z 2024-06-26T05:15:39.1504340Z [----------] 5 tests from OpAminOutTest 2024-06-26T05:15:39.1505340Z [ RUN ] OpAminOutTest.InvalidDimensionListDies 2024-06-26T05:15:39.1506535Z [ OK ] OpAminOutTest.InvalidDimensionListDies (0 ms) 2024-06-26T05:15:39.1507811Z [ RUN ] OpAminOutTest.InvalidShapeDies 2024-06-26T05:15:39.1508887Z [ OK ] OpAminOutTest.InvalidShapeDies (0 ms) 2024-06-26T05:15:39.1510054Z [ RUN ] OpAminOutTest.MismatchedDTypesDies 2024-06-26T05:15:39.1511100Z [ OK ] OpAminOutTest.MismatchedDTypesDies (0 ms) 2024-06-26T05:15:39.1511865Z [ RUN ] OpAminOutTest.AllRealInputOutputPasses 2024-06-26T05:15:39.1513008Z [ OK ] OpAminOutTest.AllRealInputOutputPasses (0 ms) 2024-06-26T05:15:39.1514107Z [ RUN ] OpAminOutTest.InfinityAndNANTest 2024-06-26T05:15:39.1515278Z [ OK ] OpAminOutTest.InfinityAndNANTest (0 ms) 2024-06-26T05:15:39.1516165Z [----------] 5 tests from OpAminOutTest (0 ms total) 2024-06-26T05:15:39.1516800Z 2024-06-26T05:15:39.1517162Z [----------] 5 tests from OpAnyOutTest 2024-06-26T05:15:39.1518305Z [ RUN ] OpAnyOutTest.MismatchedDimensionsDies 2024-06-26T05:15:39.1519080Z [ OK ] OpAnyOutTest.MismatchedDimensionsDies (0 ms) 2024-06-26T05:15:39.1519835Z [ RUN ] OpAnyOutTest.InvalidDtypeDies 2024-06-26T05:15:39.1520570Z [ OK ] OpAnyOutTest.InvalidDtypeDies (0 ms) 2024-06-26T05:15:39.1521324Z [ RUN ] OpAnyOutTest.AllRealInputTypePasses 2024-06-26T05:15:39.1522174Z [ OK ] OpAnyOutTest.AllRealInputTypePasses (0 ms) 2024-06-26T05:15:39.1523006Z [ RUN ] OpAnyOutTest.SmokeTestDims 2024-06-26T05:15:39.1523697Z [ OK ] OpAnyOutTest.SmokeTestDims (0 ms) 2024-06-26T05:15:39.1524379Z [ RUN ] OpAnyOutTest.SmokeTest 2024-06-26T05:15:39.1525153Z [ OK ] OpAnyOutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.1526087Z [----------] 5 tests from OpAnyOutTest (0 ms total) 2024-06-26T05:15:39.1526799Z 2024-06-26T05:15:39.1527194Z [----------] 6 tests from OpArangeOutTest 2024-06-26T05:15:39.1527956Z [ RUN ] OpArangeOutTest.AllRealDtypesSupported 2024-06-26T05:15:39.1529065Z [ OK ] OpArangeOutTest.AllRealDtypesSupported (0 ms) 2024-06-26T05:15:39.1530278Z [ RUN ] OpArangeOutTest.FloatNumberNotEqualIntSupport 2024-06-26T05:15:39.1531088Z [ OK ] OpArangeOutTest.FloatNumberNotEqualIntSupport (0 ms) 2024-06-26T05:15:39.1531896Z [ RUN ] OpArangeOutTest.OutDimUnsupportedDie 2024-06-26T05:15:39.1532599Z [ OK ] OpArangeOutTest.OutDimUnsupportedDie (0 ms) 2024-06-26T05:15:39.1533392Z [ RUN ] OpArangeOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.1534316Z [ OK ] OpArangeOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.1535270Z [ RUN ] OpArangeOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.1536254Z [ OK ] OpArangeOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.1537087Z [ RUN ] OpArangeOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.1537690Z /executorch/kernels/test/op_arange_test.cpp:154: Skipped 2024-06-26T05:15:39.1538189Z Dynamic Unbound not supported 2024-06-26T05:15:39.1538745Z [ SKIPPED ] OpArangeOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.1539453Z [----------] 6 tests from OpArangeOutTest (0 ms total) 2024-06-26T05:15:39.1539929Z 2024-06-26T05:15:39.1540185Z [----------] 8 tests from OpArangeStartOutTest 2024-06-26T05:15:39.1540907Z [ RUN ] OpArangeStartOutTest.AllRealDtypesSupported 2024-06-26T05:15:39.1541705Z [ OK ] OpArangeStartOutTest.AllRealDtypesSupported (0 ms) 2024-06-26T05:15:39.1542539Z [ RUN ] OpArangeStartOutTest.FloatNumberNotEqualIntSupport 2024-06-26T05:15:39.1543417Z [ OK ] OpArangeStartOutTest.FloatNumberNotEqualIntSupport (0 ms) 2024-06-26T05:15:39.1544248Z [ RUN ] OpArangeStartOutTest.OutDimUnsupportedDie 2024-06-26T05:15:39.1545020Z [ OK ] OpArangeStartOutTest.OutDimUnsupportedDie (0 ms) 2024-06-26T05:15:39.1545894Z [ RUN ] OpArangeStartOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.1546889Z [ OK ] OpArangeStartOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.1547919Z [ RUN ] OpArangeStartOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.1548985Z [ OK ] OpArangeStartOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.1549884Z [ RUN ] OpArangeStartOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.1550515Z /executorch/kernels/test/op_arange_test.cpp:239: Skipped 2024-06-26T05:15:39.1551013Z Dynamic Unbound not supported 2024-06-26T05:15:39.1551606Z [ SKIPPED ] OpArangeStartOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.1552316Z [ RUN ] OpArangeStartOutTest.StartOut 2024-06-26T05:15:39.1552940Z [ OK ] OpArangeStartOutTest.StartOut (0 ms) 2024-06-26T05:15:39.1553620Z [ RUN ] OpArangeStartOutTest.StartOutNegativeStep 2024-06-26T05:15:39.1554385Z [ OK ] OpArangeStartOutTest.StartOutNegativeStep (0 ms) 2024-06-26T05:15:39.1555128Z [----------] 8 tests from OpArangeStartOutTest (0 ms total) 2024-06-26T05:15:39.1555527Z 2024-06-26T05:15:39.1555734Z [----------] 3 tests from OpArgmaxTest 2024-06-26T05:15:39.1556268Z [ RUN ] OpArgmaxTest.SanityCheckLong 2024-06-26T05:15:39.1556876Z [ OK ] OpArgmaxTest.SanityCheckLong (0 ms) 2024-06-26T05:15:39.1557478Z [ RUN ] OpArgmaxTest.SanityCheckShort 2024-06-26T05:15:39.1558254Z [ OK ] OpArgmaxTest.SanityCheckShort (0 ms) 2024-06-26T05:15:39.1559097Z [ RUN ] OpArgmaxTest.SanityCheckNullDim 2024-06-26T05:15:39.1559973Z [ OK ] OpArgmaxTest.SanityCheckNullDim (0 ms) 2024-06-26T05:15:39.1561240Z [----------] 3 tests from OpArgmaxTest (0 ms total) 2024-06-26T05:15:39.1561953Z 2024-06-26T05:15:39.1562244Z [----------] 3 tests from OpArgminTest 2024-06-26T05:15:39.1563188Z [ RUN ] OpArgminTest.SanityCheckLong 2024-06-26T05:15:39.1564311Z [ OK ] OpArgminTest.SanityCheckLong (0 ms) 2024-06-26T05:15:39.1565519Z [ RUN ] OpArgminTest.SanityCheckShort 2024-06-26T05:15:39.1566304Z [ OK ] OpArgminTest.SanityCheckShort (0 ms) 2024-06-26T05:15:39.1567275Z [ RUN ] OpArgminTest.SanityCheckNullDim 2024-06-26T05:15:39.1568047Z [ OK ] OpArgminTest.SanityCheckNullDim (0 ms) 2024-06-26T05:15:39.1568959Z [----------] 3 tests from OpArgminTest (0 ms total) 2024-06-26T05:15:39.1569358Z 2024-06-26T05:15:39.1569808Z [----------] 6 tests from OpAsStridedCopyOutTest 2024-06-26T05:15:39.1571164Z [ RUN ] OpAsStridedCopyOutTest.AllScalarInputOutputSupport 2024-06-26T05:15:39.1572275Z [ OK ] OpAsStridedCopyOutTest.AllScalarInputOutputSupport (0 ms) 2024-06-26T05:15:39.1573126Z [ RUN ] OpAsStridedCopyOutTest.InvalidParametersDies 2024-06-26T05:15:39.1573920Z [ OK ] OpAsStridedCopyOutTest.InvalidParametersDies (0 ms) 2024-06-26T05:15:39.1574748Z [ RUN ] OpAsStridedCopyOutTest.MismatchedInputDtypesDies 2024-06-26T05:15:39.1575610Z [ OK ] OpAsStridedCopyOutTest.MismatchedInputDtypesDies (0 ms) 2024-06-26T05:15:39.1576532Z [ RUN ] OpAsStridedCopyOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.1577661Z [ OK ] OpAsStridedCopyOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.1578725Z [ RUN ] OpAsStridedCopyOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.1579896Z [ OK ] OpAsStridedCopyOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.1580832Z [ RUN ] OpAsStridedCopyOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.1581528Z /executorch/kernels/test/op_as_strided_copy_test.cpp:330: Skipped 2024-06-26T05:15:39.1582088Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1582731Z [ SKIPPED ] OpAsStridedCopyOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.1583517Z [----------] 6 tests from OpAsStridedCopyOutTest (0 ms total) 2024-06-26T05:15:39.1583925Z 2024-06-26T05:15:39.1584146Z [----------] 11 tests from OpAsinOutTest 2024-06-26T05:15:39.1584698Z [ RUN ] OpAsinOutTest.HandleBoolInput 2024-06-26T05:15:39.1585404Z [ OK ] OpAsinOutTest.HandleBoolInput (0 ms) 2024-06-26T05:15:39.1586597Z [ RUN ] OpAsinOutTest.AllRealInputHalfOutputStaticDynamismSupport 2024-06-26T05:15:39.1588346Z [ OK ] OpAsinOutTest.AllRealInputHalfOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1589644Z [ RUN ] OpAsinOutTest.AllRealInputFloatOutputStaticDynamismSupport 2024-06-26T05:15:39.1591066Z [ OK ] OpAsinOutTest.AllRealInputFloatOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1592661Z [ RUN ] OpAsinOutTest.AllRealInputDoubleOutputStaticDynamismSupport 2024-06-26T05:15:39.1594598Z [ OK ] OpAsinOutTest.AllRealInputDoubleOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1596216Z [ RUN ] OpAsinOutTest.AllRealInputHalfOutputBoundDynamismSupport 2024-06-26T05:15:39.1597735Z [ OK ] OpAsinOutTest.AllRealInputHalfOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1599114Z [ RUN ] OpAsinOutTest.AllRealInputFloatOutputBoundDynamismSupport 2024-06-26T05:15:39.1600645Z [ OK ] OpAsinOutTest.AllRealInputFloatOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1602125Z [ RUN ] OpAsinOutTest.AllRealInputDoubleOutputBoundDynamismSupport 2024-06-26T05:15:39.1603835Z [ OK ] OpAsinOutTest.AllRealInputDoubleOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1605515Z [ RUN ] OpAsinOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.1606533Z /executorch/kernels/test/op_asin_test.cpp:132: Skipped 2024-06-26T05:15:39.1607039Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1607945Z [ SKIPPED ] OpAsinOutTest.AllRealInputFloatOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.1609860Z [ RUN ] OpAsinOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.1611223Z /executorch/kernels/test/op_asin_test.cpp:143: Skipped 2024-06-26T05:15:39.1611965Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1613126Z [ SKIPPED ] OpAsinOutTest.AllRealInputDoubleOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.1614485Z [ RUN ] OpAsinOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.1615679Z [ OK ] OpAsinOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.1616958Z [ RUN ] OpAsinOutTest.MismatchedInputShapesDies 2024-06-26T05:15:39.1618203Z [ OK ] OpAsinOutTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.1619217Z [----------] 11 tests from OpAsinOutTest (0 ms total) 2024-06-26T05:15:39.1619928Z 2024-06-26T05:15:39.1620310Z [----------] 11 tests from OpAsinhOutTest 2024-06-26T05:15:39.1621187Z [ RUN ] OpAsinhOutTest.HandleBoolInput 2024-06-26T05:15:39.1621825Z [ OK ] OpAsinhOutTest.HandleBoolInput (0 ms) 2024-06-26T05:15:39.1622636Z [ RUN ] OpAsinhOutTest.AllRealInputHalfOutputStaticDynamismSupport 2024-06-26T05:15:39.1624718Z [ OK ] OpAsinhOutTest.AllRealInputHalfOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1625747Z [ RUN ] OpAsinhOutTest.AllRealInputFloatOutputStaticDynamismSupport 2024-06-26T05:15:39.1626770Z [ OK ] OpAsinhOutTest.AllRealInputFloatOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1627823Z [ RUN ] OpAsinhOutTest.AllRealInputDoubleOutputStaticDynamismSupport 2024-06-26T05:15:39.1629003Z [ OK ] OpAsinhOutTest.AllRealInputDoubleOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1630019Z [ RUN ] OpAsinhOutTest.AllRealInputHalfOutputBoundDynamismSupport 2024-06-26T05:15:39.1631001Z [ OK ] OpAsinhOutTest.AllRealInputHalfOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1632010Z [ RUN ] OpAsinhOutTest.AllRealInputFloatOutputBoundDynamismSupport 2024-06-26T05:15:39.1633020Z [ OK ] OpAsinhOutTest.AllRealInputFloatOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1634032Z [ RUN ] OpAsinhOutTest.AllRealInputDoubleOutputBoundDynamismSupport 2024-06-26T05:15:39.1635064Z [ OK ] OpAsinhOutTest.AllRealInputDoubleOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1636101Z [ RUN ] OpAsinhOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.1636858Z /executorch/kernels/test/op_asinh_test.cpp:132: Skipped 2024-06-26T05:15:39.1637366Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1638281Z [ SKIPPED ] OpAsinhOutTest.AllRealInputFloatOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.1639893Z [ RUN ] OpAsinhOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.1641164Z /executorch/kernels/test/op_asinh_test.cpp:143: Skipped 2024-06-26T05:15:39.1641997Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1643475Z [ SKIPPED ] OpAsinhOutTest.AllRealInputDoubleOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.1645310Z [ RUN ] OpAsinhOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.1646569Z [ OK ] OpAsinhOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.1647693Z [ RUN ] OpAsinhOutTest.MismatchedInputShapesDies 2024-06-26T05:15:39.1649022Z [ OK ] OpAsinhOutTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.1650152Z [----------] 11 tests from OpAsinhOutTest (0 ms total) 2024-06-26T05:15:39.1650602Z 2024-06-26T05:15:39.1650892Z [----------] 11 tests from OpAtanOutTest 2024-06-26T05:15:39.1651632Z [ RUN ] OpAtanOutTest.HandleBoolInput 2024-06-26T05:15:39.1652497Z [ OK ] OpAtanOutTest.HandleBoolInput (0 ms) 2024-06-26T05:15:39.1653695Z [ RUN ] OpAtanOutTest.AllRealInputHalfOutputStaticDynamismSupport 2024-06-26T05:15:39.1654762Z [ OK ] OpAtanOutTest.AllRealInputHalfOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1655756Z [ RUN ] OpAtanOutTest.AllRealInputFloatOutputStaticDynamismSupport 2024-06-26T05:15:39.1656779Z [ OK ] OpAtanOutTest.AllRealInputFloatOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1657801Z [ RUN ] OpAtanOutTest.AllRealInputDoubleOutputStaticDynamismSupport 2024-06-26T05:15:39.1658819Z [ OK ] OpAtanOutTest.AllRealInputDoubleOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1659912Z [ RUN ] OpAtanOutTest.AllRealInputHalfOutputBoundDynamismSupport 2024-06-26T05:15:39.1661100Z [ OK ] OpAtanOutTest.AllRealInputHalfOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1662725Z [ RUN ] OpAtanOutTest.AllRealInputFloatOutputBoundDynamismSupport 2024-06-26T05:15:39.1663972Z [ OK ] OpAtanOutTest.AllRealInputFloatOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1664979Z [ RUN ] OpAtanOutTest.AllRealInputDoubleOutputBoundDynamismSupport 2024-06-26T05:15:39.1666067Z [ OK ] OpAtanOutTest.AllRealInputDoubleOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1667077Z [ RUN ] OpAtanOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.1667827Z /executorch/kernels/test/op_atan_test.cpp:132: Skipped 2024-06-26T05:15:39.1668327Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1669111Z [ SKIPPED ] OpAtanOutTest.AllRealInputFloatOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.1670179Z [ RUN ] OpAtanOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.1670938Z /executorch/kernels/test/op_atan_test.cpp:143: Skipped 2024-06-26T05:15:39.1671423Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1672288Z [ SKIPPED ] OpAtanOutTest.AllRealInputDoubleOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.1673691Z [ RUN ] OpAtanOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.1674878Z [ OK ] OpAtanOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.1676247Z [ RUN ] OpAtanOutTest.MismatchedInputShapesDies 2024-06-26T05:15:39.1677609Z [ OK ] OpAtanOutTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.1678967Z [----------] 11 tests from OpAtanOutTest (1 ms total) 2024-06-26T05:15:39.1679686Z 2024-06-26T05:15:39.1680053Z [----------] 1 test from OpAtan2OutTest 2024-06-26T05:15:39.1681078Z [ RUN ] OpAtan2OutTest.SmokeTest 2024-06-26T05:15:39.1682131Z [ OK ] OpAtan2OutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.1683206Z [----------] 1 test from OpAtan2OutTest (0 ms total) 2024-06-26T05:15:39.1683933Z 2024-06-26T05:15:39.1684340Z [----------] 11 tests from OpAtanhOutTest 2024-06-26T05:15:39.1685443Z [ RUN ] OpAtanhOutTest.HandleBoolInput 2024-06-26T05:15:39.1686612Z [ OK ] OpAtanhOutTest.HandleBoolInput (0 ms) 2024-06-26T05:15:39.1688178Z [ RUN ] OpAtanhOutTest.AllRealInputHalfOutputStaticDynamismSupport 2024-06-26T05:15:39.1689268Z [ OK ] OpAtanhOutTest.AllRealInputHalfOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1690286Z [ RUN ] OpAtanhOutTest.AllRealInputFloatOutputStaticDynamismSupport 2024-06-26T05:15:39.1691613Z [ OK ] OpAtanhOutTest.AllRealInputFloatOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1693746Z [ RUN ] OpAtanhOutTest.AllRealInputDoubleOutputStaticDynamismSupport 2024-06-26T05:15:39.1694882Z [ OK ] OpAtanhOutTest.AllRealInputDoubleOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1695890Z [ RUN ] OpAtanhOutTest.AllRealInputHalfOutputBoundDynamismSupport 2024-06-26T05:15:39.1696885Z [ OK ] OpAtanhOutTest.AllRealInputHalfOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1697937Z [ RUN ] OpAtanhOutTest.AllRealInputFloatOutputBoundDynamismSupport 2024-06-26T05:15:39.1698942Z [ OK ] OpAtanhOutTest.AllRealInputFloatOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1700046Z [ RUN ] OpAtanhOutTest.AllRealInputDoubleOutputBoundDynamismSupport 2024-06-26T05:15:39.1701085Z [ OK ] OpAtanhOutTest.AllRealInputDoubleOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1702753Z [ RUN ] OpAtanhOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.1703990Z /executorch/kernels/test/op_atanh_test.cpp:132: Skipped 2024-06-26T05:15:39.1704859Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1706108Z [ SKIPPED ] OpAtanhOutTest.AllRealInputFloatOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.1707883Z [ RUN ] OpAtanhOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.1708724Z /executorch/kernels/test/op_atanh_test.cpp:143: Skipped 2024-06-26T05:15:39.1709640Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1710489Z [ SKIPPED ] OpAtanhOutTest.AllRealInputDoubleOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.1711530Z [ RUN ] OpAtanhOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.1712308Z [ OK ] OpAtanhOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.1713067Z [ RUN ] OpAtanhOutTest.MismatchedInputShapesDies 2024-06-26T05:15:39.1713812Z [ OK ] OpAtanhOutTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.1714530Z [----------] 11 tests from OpAtanhOutTest (0 ms total) 2024-06-26T05:15:39.1714925Z 2024-06-26T05:15:39.1715221Z [----------] 3 tests from OpAvgPool2DOutTest 2024-06-26T05:15:39.1715999Z [ RUN ] OpAvgPool2DOutTest.SanityCheck4D 2024-06-26T05:15:39.1717068Z [ OK ] OpAvgPool2DOutTest.SanityCheck4D (0 ms) 2024-06-26T05:15:39.1718341Z [ RUN ] OpAvgPool2DOutTest.SanityCheck4DDivisorOverride 2024-06-26T05:15:39.1719815Z [ OK ] OpAvgPool2DOutTest.SanityCheck4DDivisorOverride (0 ms) 2024-06-26T05:15:39.1721496Z [ RUN ] OpAvgPool2DOutTest.SanityCheck4DCeilModeNoIncludePadding 2024-06-26T05:15:39.1723261Z [ OK ] OpAvgPool2DOutTest.SanityCheck4DCeilModeNoIncludePadding (0 ms) 2024-06-26T05:15:39.1724417Z [----------] 3 tests from OpAvgPool2DOutTest (0 ms total) 2024-06-26T05:15:39.1724989Z 2024-06-26T05:15:39.1725229Z [----------] 7 tests from OpBitwiseNotOutTest 2024-06-26T05:15:39.1726018Z [ RUN ] OpBitwiseNotOutTest.AllIntInputOutputSupport 2024-06-26T05:15:39.1726871Z [ OK ] OpBitwiseNotOutTest.AllIntInputOutputSupport (0 ms) 2024-06-26T05:15:39.1728164Z [ RUN ] OpBitwiseNotOutTest.BoolInputOutputSupport 2024-06-26T05:15:39.1728967Z [ OK ] OpBitwiseNotOutTest.BoolInputOutputSupport (0 ms) 2024-06-26T05:15:39.1729990Z [ RUN ] OpBitwiseNotOutTest.MismatchedShapesDies 2024-06-26T05:15:39.1731147Z [ OK ] OpBitwiseNotOutTest.MismatchedShapesDies (0 ms) 2024-06-26T05:15:39.1732199Z [ RUN ] OpBitwiseNotOutTest.AllFloatInputDTypeDies 2024-06-26T05:15:39.1733354Z [ OK ] OpBitwiseNotOutTest.AllFloatInputDTypeDies (0 ms) 2024-06-26T05:15:39.1734882Z [ RUN ] OpBitwiseNotOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.1736696Z [ OK ] OpBitwiseNotOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.1738692Z [ RUN ] OpBitwiseNotOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.1739991Z [ OK ] OpBitwiseNotOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.1740884Z [ RUN ] OpBitwiseNotOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.1741538Z /executorch/kernels/test/op_bitwise_not_test.cpp:159: Skipped 2024-06-26T05:15:39.1742147Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1742773Z [ SKIPPED ] OpBitwiseNotOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.1743539Z [----------] 7 tests from OpBitwiseNotOutTest (0 ms total) 2024-06-26T05:15:39.1743936Z 2024-06-26T05:15:39.1744156Z [----------] 10 tests from OpBmmOutTest 2024-06-26T05:15:39.1745088Z [ RUN ] OpBmmOutTest.OutputDim 2024-06-26T05:15:39.1745894Z [ OK ] OpBmmOutTest.OutputDim (0 ms) 2024-06-26T05:15:39.1746937Z [ RUN ] OpBmmOutTest.OutputDimFloat 2024-06-26T05:15:39.1747830Z [ OK ] OpBmmOutTest.OutputDimFloat (0 ms) 2024-06-26T05:15:39.1748566Z [ RUN ] OpBmmOutTest.AllDtypesSupported 2024-06-26T05:15:39.1749364Z [ OK ] OpBmmOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.1750311Z [ RUN ] OpBmmOutTest.EmptyInputWithEmptyOutTensorPasses 2024-06-26T05:15:39.1751480Z [ OK ] OpBmmOutTest.EmptyInputWithEmptyOutTensorPasses (0 ms) 2024-06-26T05:15:39.1752590Z [ RUN ] OpBmmOutTest.MismatchedDimensionsDies 2024-06-26T05:15:39.1753422Z [ OK ] OpBmmOutTest.MismatchedDimensionsDies (0 ms) 2024-06-26T05:15:39.1754362Z [ RUN ] OpBmmOutTest.MismatchedDimensionSizeDies 2024-06-26T05:15:39.1755666Z [ OK ] OpBmmOutTest.MismatchedDimensionSizeDies (0 ms) 2024-06-26T05:15:39.1756962Z [ RUN ] OpBmmOutTest.WrongOutShapeDies 2024-06-26T05:15:39.1758242Z [ OK ] OpBmmOutTest.WrongOutShapeDies (0 ms) 2024-06-26T05:15:39.1759030Z [ RUN ] OpBmmOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.1759916Z [ OK ] OpBmmOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.1760850Z [ RUN ] OpBmmOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.1762059Z [ OK ] OpBmmOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.1763511Z [ RUN ] OpBmmOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.1764583Z /executorch/kernels/test/op_bmm_test.cpp:346: Skipped 2024-06-26T05:15:39.1765368Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1765951Z [ SKIPPED ] OpBmmOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.1766627Z [----------] 10 tests from OpBmmOutTest (0 ms total) 2024-06-26T05:15:39.1766997Z 2024-06-26T05:15:39.1767201Z [----------] 15 tests from OpCatOutTest 2024-06-26T05:15:39.1767719Z [ RUN ] OpCatOutTest.SmokeDim1 2024-06-26T05:15:39.1768272Z [ OK ] OpCatOutTest.SmokeDim1 (0 ms) 2024-06-26T05:15:39.1768813Z [ RUN ] OpCatOutTest.HalfSupport 2024-06-26T05:15:39.1769377Z [ OK ] OpCatOutTest.HalfSupport (0 ms) 2024-06-26T05:15:39.1769940Z [ RUN ] OpCatOutTest.NegativeDims 2024-06-26T05:15:39.1770503Z [ OK ] OpCatOutTest.NegativeDims (0 ms) 2024-06-26T05:15:39.1771110Z [ RUN ] OpCatOutTest.AllDtypesSupported 2024-06-26T05:15:39.1771753Z [ OK ] OpCatOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.1772750Z [ RUN ] OpCatOutTest.EmptyInputTensorShapeIgnored 2024-06-26T05:15:39.1774161Z [ OK ] OpCatOutTest.EmptyInputTensorShapeIgnored (0 ms) 2024-06-26T05:15:39.1775413Z [ RUN ] OpCatOutTest.DimBounds 2024-06-26T05:15:39.1776421Z [ OK ] OpCatOutTest.DimBounds (0 ms) 2024-06-26T05:15:39.1777703Z [ RUN ] OpCatOutTest.NoInputTensorsWithNonEmptyOutputDies 2024-06-26T05:15:39.1779478Z [ OK ] OpCatOutTest.NoInputTensorsWithNonEmptyOutputDies (0 ms) 2024-06-26T05:15:39.1781203Z [ RUN ] OpCatOutTest.NoInputTensorsWithEmptyOutputDies 2024-06-26T05:15:39.1782684Z [ OK ] OpCatOutTest.NoInputTensorsWithEmptyOutputDies (0 ms) 2024-06-26T05:15:39.1784108Z [ RUN ] OpCatOutTest.MismatchedDtypesDies 2024-06-26T05:15:39.1785413Z [ OK ] OpCatOutTest.MismatchedDtypesDies (0 ms) 2024-06-26T05:15:39.1786572Z [ RUN ] OpCatOutTest.MismatchedDimensionsDies 2024-06-26T05:15:39.1787719Z [ OK ] OpCatOutTest.MismatchedDimensionsDies (0 ms) 2024-06-26T05:15:39.1788980Z [ RUN ] OpCatOutTest.MismatchedDimensionSizeDies 2024-06-26T05:15:39.1790320Z [ OK ] OpCatOutTest.MismatchedDimensionSizeDies (0 ms) 2024-06-26T05:15:39.1791788Z [ RUN ] OpCatOutTest.WrongOutShapeDies 2024-06-26T05:15:39.1792517Z [ OK ] OpCatOutTest.WrongOutShapeDies (0 ms) 2024-06-26T05:15:39.1793261Z [ RUN ] OpCatOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.1794148Z [ OK ] OpCatOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.1795055Z [ RUN ] OpCatOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.1795986Z [ OK ] OpCatOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.1796775Z [ RUN ] OpCatOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.1797344Z /executorch/kernels/test/op_cat_test.cpp:379: Skipped 2024-06-26T05:15:39.1798027Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1798602Z [ SKIPPED ] OpCatOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.1799281Z [----------] 15 tests from OpCatOutTest (0 ms total) 2024-06-26T05:15:39.1799647Z 2024-06-26T05:15:39.1799905Z [----------] 1 test from OpCdistForwardOutTest 2024-06-26T05:15:39.1800501Z [ RUN ] OpCdistForwardOutTest.SmokeTest 2024-06-26T05:15:39.1801145Z [ OK ] OpCdistForwardOutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.1801840Z [----------] 1 test from OpCdistForwardOutTest (0 ms total) 2024-06-26T05:15:39.1802240Z 2024-06-26T05:15:39.1802434Z [----------] 2 tests from OpCeilTest 2024-06-26T05:15:39.1803052Z [ RUN ] OpCeilTest.SanityCheck 2024-06-26T05:15:39.1803673Z [ OK ] OpCeilTest.SanityCheck (0 ms) 2024-06-26T05:15:39.1804268Z [ RUN ] OpCeilTest.HalfSupport 2024-06-26T05:15:39.1804935Z [ OK ] OpCeilTest.HalfSupport (0 ms) 2024-06-26T05:15:39.1805598Z [----------] 2 tests from OpCeilTest (0 ms total) 2024-06-26T05:15:39.1806020Z 2024-06-26T05:15:39.1806331Z [----------] 20 tests from OpClampOutTest 2024-06-26T05:15:39.1807022Z [ RUN ] OpClampOutTest.ByteTensors 2024-06-26T05:15:39.1807814Z [ OK ] OpClampOutTest.ByteTensors (0 ms) 2024-06-26T05:15:39.1808526Z [ RUN ] OpClampOutTest.CharTensors 2024-06-26T05:15:39.1809429Z [ OK ] OpClampOutTest.CharTensors (0 ms) 2024-06-26T05:15:39.1810384Z [ RUN ] OpClampOutTest.ShortTensors 2024-06-26T05:15:39.1811364Z [ OK ] OpClampOutTest.ShortTensors (0 ms) 2024-06-26T05:15:39.1812235Z [ RUN ] OpClampOutTest.IntTensors 2024-06-26T05:15:39.1813099Z [ OK ] OpClampOutTest.IntTensors (0 ms) 2024-06-26T05:15:39.1814098Z [ RUN ] OpClampOutTest.LongTensors 2024-06-26T05:15:39.1814683Z [ OK ] OpClampOutTest.LongTensors (0 ms) 2024-06-26T05:15:39.1815264Z [ RUN ] OpClampOutTest.HalfTensors 2024-06-26T05:15:39.1815855Z [ OK ] OpClampOutTest.HalfTensors (0 ms) 2024-06-26T05:15:39.1816426Z [ RUN ] OpClampOutTest.FloatTensors 2024-06-26T05:15:39.1817021Z [ OK ] OpClampOutTest.FloatTensors (0 ms) 2024-06-26T05:15:39.1817750Z [ RUN ] OpClampOutTest.DoubleTensors 2024-06-26T05:15:39.1818347Z [ OK ] OpClampOutTest.DoubleTensors (0 ms) 2024-06-26T05:15:39.1819037Z [ RUN ] OpClampOutTest.ByteTensorNegativeClampDies 2024-06-26T05:15:39.1819937Z [ OK ] OpClampOutTest.ByteTensorNegativeClampDies (0 ms) 2024-06-26T05:15:39.1821001Z [ RUN ] OpClampOutTest.ByteTensorTooLargeClampDies 2024-06-26T05:15:39.1822213Z [ OK ] OpClampOutTest.ByteTensorTooLargeClampDies (0 ms) 2024-06-26T05:15:39.1823015Z [ RUN ] OpClampOutTest.ByteTensorFloatingPointClampDies 2024-06-26T05:15:39.1823864Z [ OK ] OpClampOutTest.ByteTensorFloatingPointClampDies (0 ms) 2024-06-26T05:15:39.1824653Z [ RUN ] OpClampOutTest.IntTensorTooSmallClampDies 2024-06-26T05:15:39.1825419Z [ OK ] OpClampOutTest.IntTensorTooSmallClampDies (0 ms) 2024-06-26T05:15:39.1826175Z [ RUN ] OpClampOutTest.IntTensorTooLargeClampDies 2024-06-26T05:15:39.1826931Z [ OK ] OpClampOutTest.IntTensorTooLargeClampDies (0 ms) 2024-06-26T05:15:39.1827724Z [ RUN ] OpClampOutTest.IntTensorFloatingPointClampDies 2024-06-26T05:15:39.1828555Z [ OK ] OpClampOutTest.IntTensorFloatingPointClampDies (0 ms) 2024-06-26T05:15:39.1829347Z [ RUN ] OpClampOutTest.FloatTensorTooSmallClampDies 2024-06-26T05:15:39.1830195Z [ OK ] OpClampOutTest.FloatTensorTooSmallClampDies (0 ms) 2024-06-26T05:15:39.1831324Z [ RUN ] OpClampOutTest.FloatTensorTooLargeClampDies 2024-06-26T05:15:39.1832737Z [ OK ] OpClampOutTest.FloatTensorTooLargeClampDies (0 ms) 2024-06-26T05:15:39.1834147Z [ RUN ] OpClampOutTest.SimpleGeneratedCase 2024-06-26T05:15:39.1835399Z [ OK ] OpClampOutTest.SimpleGeneratedCase (0 ms) 2024-06-26T05:15:39.1836662Z [ RUN ] OpClampOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.1838353Z [ OK ] OpClampOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.1840080Z [ RUN ] OpClampOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.1841443Z /executorch/kernels/test/op_clamp_test.cpp:427: Skipped 2024-06-26T05:15:39.1842371Z Dynamic shape not supported 2024-06-26T05:15:39.1843243Z [ SKIPPED ] OpClampOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.1844450Z [ RUN ] OpClampOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.1845215Z /executorch/kernels/test/op_clamp_test.cpp:450: Skipped 2024-06-26T05:15:39.1845714Z Dynamic shape not supported 2024-06-26T05:15:39.1846269Z [ SKIPPED ] OpClampOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.1846966Z [----------] 20 tests from OpClampOutTest (1 ms total) 2024-06-26T05:15:39.1847401Z 2024-06-26T05:15:39.1847720Z [----------] 1 test from OpClampTensorOutTest 2024-06-26T05:15:39.1848639Z [ RUN ] OpClampTensorOutTest.SmokeTest 2024-06-26T05:15:39.1849692Z [ OK ] OpClampTensorOutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.1850962Z [----------] 1 test from OpClampTensorOutTest (0 ms total) 2024-06-26T05:15:39.1851712Z 2024-06-26T05:15:39.1852050Z [----------] 9 tests from OpCloneTest 2024-06-26T05:15:39.1852907Z [ RUN ] OpCloneTest.AllDtypesSupported 2024-06-26T05:15:39.1853651Z [ OK ] OpCloneTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.1854441Z [ RUN ] OpCloneTest.EmptyInputSupported 2024-06-26T05:15:39.1855663Z [ OK ] OpCloneTest.EmptyInputSupported (0 ms) 2024-06-26T05:15:39.1856504Z [ RUN ] OpCloneTest.MismatchedSizesDie 2024-06-26T05:15:39.1857255Z [ OK ] OpCloneTest.MismatchedSizesDie (0 ms) 2024-06-26T05:15:39.1857877Z [ RUN ] OpCloneTest.MismatchedTypesDie 2024-06-26T05:15:39.1858504Z [ OK ] OpCloneTest.MismatchedTypesDie (0 ms) 2024-06-26T05:15:39.1859316Z [ RUN ] OpCloneTest.MismatchedMemoryFormatDie 2024-06-26T05:15:39.1860100Z [ OK ] OpCloneTest.MismatchedMemoryFormatDie (0 ms) 2024-06-26T05:15:39.1860774Z [ RUN ] OpCloneTest.SimpleGeneratedCase 2024-06-26T05:15:39.1861404Z [ OK ] OpCloneTest.SimpleGeneratedCase (0 ms) 2024-06-26T05:15:39.1862204Z [ RUN ] OpCloneTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.1863071Z [ OK ] OpCloneTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.1863947Z [ RUN ] OpCloneTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.1864871Z [ OK ] OpCloneTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.1865649Z [ RUN ] OpCloneTest.DynamicShapeUnbound 2024-06-26T05:15:39.1866212Z /executorch/kernels/test/op_clone_test.cpp:210: Skipped 2024-06-26T05:15:39.1866777Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1867498Z [ SKIPPED ] OpCloneTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.1868251Z [----------] 9 tests from OpCloneTest (0 ms total) 2024-06-26T05:15:39.1868610Z 2024-06-26T05:15:39.1868867Z [----------] 10 tests from OpConstantPadNDOutTest 2024-06-26T05:15:39.1869503Z [ RUN ] OpConstantPadNDOutTest.TestPadDim2 2024-06-26T05:15:39.1870188Z [ OK ] OpConstantPadNDOutTest.TestPadDim2 (0 ms) 2024-06-26T05:15:39.1870855Z [ RUN ] OpConstantPadNDOutTest.TestPadDim1 2024-06-26T05:15:39.1871615Z [ OK ] OpConstantPadNDOutTest.TestPadDim1 (0 ms) 2024-06-26T05:15:39.1872295Z [ RUN ] OpConstantPadNDOutTest.TestPadDim0 2024-06-26T05:15:39.1872963Z [ OK ] OpConstantPadNDOutTest.TestPadDim0 (0 ms) 2024-06-26T05:15:39.1873667Z [ RUN ] OpConstantPadNDOutTest.TestPadDim1And2 2024-06-26T05:15:39.1874390Z [ OK ] OpConstantPadNDOutTest.TestPadDim1And2 (0 ms) 2024-06-26T05:15:39.1875207Z [ RUN ] OpConstantPadNDOutTest.TestPadDim0And2 2024-06-26T05:15:39.1876173Z [ OK ] OpConstantPadNDOutTest.TestPadDim0And2 (0 ms) 2024-06-26T05:15:39.1877407Z [ RUN ] OpConstantPadNDOutTest.TestPadDim0And1And2 2024-06-26T05:15:39.1878984Z [ OK ] OpConstantPadNDOutTest.TestPadDim0And1And2 (0 ms) 2024-06-26T05:15:39.1880209Z [ RUN ] OpConstantPadNDOutTest.DifferentInputOutputTypesFail 2024-06-26T05:15:39.1881337Z [ OK ] OpConstantPadNDOutTest.DifferentInputOutputTypesFail (0 ms) 2024-06-26T05:15:39.1900103Z [ RUN ] OpConstantPadNDOutTest.OddNumberOfPaddingElementsFail 2024-06-26T05:15:39.1901173Z [ OK ] OpConstantPadNDOutTest.OddNumberOfPaddingElementsFail (0 ms) 2024-06-26T05:15:39.1902096Z [ RUN ] OpConstantPadNDOutTest.TooManyPaddingElementsFail 2024-06-26T05:15:39.1902977Z [ OK ] OpConstantPadNDOutTest.TooManyPaddingElementsFail (0 ms) 2024-06-26T05:15:39.1903854Z [ RUN ] OpConstantPadNDOutTest.IncorrectOutputShapeFail 2024-06-26T05:15:39.1904696Z [ OK ] OpConstantPadNDOutTest.IncorrectOutputShapeFail (0 ms) 2024-06-26T05:15:39.1905508Z [----------] 10 tests from OpConstantPadNDOutTest (1 ms total) 2024-06-26T05:15:39.1905928Z 2024-06-26T05:15:39.1906192Z [----------] 5 tests from OpConvCorrectnessTest 2024-06-26T05:15:39.1906830Z [ RUN ] OpConvCorrectnessTest.GenericSmokeTest 2024-06-26T05:15:39.1907557Z [ OK ] OpConvCorrectnessTest.GenericSmokeTest (0 ms) 2024-06-26T05:15:39.1908273Z [ RUN ] OpConvCorrectnessTest.NonZeroPadding 2024-06-26T05:15:39.1908963Z [ OK ] OpConvCorrectnessTest.NonZeroPadding (0 ms) 2024-06-26T05:15:39.1909701Z [ RUN ] OpConvCorrectnessTest.MultipleInputBatches 2024-06-26T05:15:39.1910485Z [ OK ] OpConvCorrectnessTest.MultipleInputBatches (0 ms) 2024-06-26T05:15:39.1911349Z [ RUN ] OpConvCorrectnessTest.2DSanityCheck 2024-06-26T05:15:39.1912041Z [ OK ] OpConvCorrectnessTest.2DSanityCheck (0 ms) 2024-06-26T05:15:39.1912801Z [ RUN ] OpConvCorrectnessTest.2DSanityCheckChannelsLast 2024-06-26T05:15:39.1913644Z [ OK ] OpConvCorrectnessTest.2DSanityCheckChannelsLast (0 ms) 2024-06-26T05:15:39.1914464Z [----------] 5 tests from OpConvCorrectnessTest (0 ms total) 2024-06-26T05:15:39.1914876Z 2024-06-26T05:15:39.1915083Z [----------] 3 tests from OpConvOutTest 2024-06-26T05:15:39.1915779Z [ RUN ] OpConvOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.1916666Z [ OK ] OpConvOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.1917581Z [ RUN ] OpConvOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.1918924Z [ OK ] OpConvOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.1920318Z [ RUN ] OpConvOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.1921343Z /executorch/kernels/test/op_convolution_test.cpp:470: Skipped 2024-06-26T05:15:39.1921895Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1922490Z [ SKIPPED ] OpConvOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.1923166Z [----------] 3 tests from OpConvOutTest (0 ms total) 2024-06-26T05:15:39.1923551Z 2024-06-26T05:15:39.1923752Z [----------] 14 tests from OpCopyTest 2024-06-26T05:15:39.1924331Z [ RUN ] OpCopyTest.AllRealDtypesSupported 2024-06-26T05:15:39.1925071Z [ OK ] OpCopyTest.AllRealDtypesSupported (0 ms) 2024-06-26T05:15:39.1925722Z [ RUN ] OpCopyTest.EmptyInputSupported 2024-06-26T05:15:39.1926358Z [ OK ] OpCopyTest.EmptyInputSupported (0 ms) 2024-06-26T05:15:39.1926989Z [ RUN ] OpCopyTest.BroadCastSrcSupported 2024-06-26T05:15:39.1927650Z [ OK ] OpCopyTest.BroadCastSrcSupported (0 ms) 2024-06-26T05:15:39.1928364Z [ RUN ] OpCopyTest.BroadCastSrcMissingDimSupported 2024-06-26T05:15:39.1929127Z [ OK ] OpCopyTest.BroadCastSrcMissingDimSupported (0 ms) 2024-06-26T05:15:39.1929871Z [ RUN ] OpCopyTest.BroadCastSelfcSupportedDie 2024-06-26T05:15:39.1930586Z [ OK ] OpCopyTest.BroadCastSelfcSupportedDie (0 ms) 2024-06-26T05:15:39.1931296Z [ RUN ] OpCopyTest.MismatchSelfSrcTypeSupported 2024-06-26T05:15:39.1932037Z [ OK ] OpCopyTest.MismatchSelfSrcTypeSupported (0 ms) 2024-06-26T05:15:39.1932723Z [ RUN ] OpCopyTest.ResizeOutSupported 2024-06-26T05:15:39.1933348Z [ OK ] OpCopyTest.ResizeOutSupported (0 ms) 2024-06-26T05:15:39.1933921Z [ RUN ] OpCopyTest.ResizeOutDie 2024-06-26T05:15:39.1934478Z [ OK ] OpCopyTest.ResizeOutDie (0 ms) 2024-06-26T05:15:39.1935066Z [ RUN ] OpCopyTest.MismatchedSizesDie 2024-06-26T05:15:39.1935676Z [ OK ] OpCopyTest.MismatchedSizesDie (0 ms) 2024-06-26T05:15:39.1936333Z [ RUN ] OpCopyTest.MismatchedSrcOutTypesDie 2024-06-26T05:15:39.1937018Z [ OK ] OpCopyTest.MismatchedSrcOutTypesDie (0 ms) 2024-06-26T05:15:39.1937619Z [ RUN ] OpCopyTest.BlockingDie 2024-06-26T05:15:39.1938168Z [ OK ] OpCopyTest.BlockingDie (0 ms) 2024-06-26T05:15:39.1938872Z [ RUN ] OpCopyTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.1939784Z [ OK ] OpCopyTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.1940663Z [ RUN ] OpCopyTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.1941355Z /executorch/kernels/test/op_copy_test.cpp:252: Skipped 2024-06-26T05:15:39.1941833Z Dynamic shape not supported 2024-06-26T05:15:39.1942515Z [ SKIPPED ] OpCopyTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.1943408Z [ RUN ] OpCopyTest.DynamicShapeUnbound 2024-06-26T05:15:39.1943971Z /executorch/kernels/test/op_copy_test.cpp:260: Skipped 2024-06-26T05:15:39.1944444Z Dynamic shape not supported 2024-06-26T05:15:39.1944977Z [ SKIPPED ] OpCopyTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.1945634Z [----------] 14 tests from OpCopyTest (0 ms total) 2024-06-26T05:15:39.1946036Z 2024-06-26T05:15:39.1946265Z [----------] 2 tests from OpCopyInplaceTest 2024-06-26T05:15:39.1946837Z [ RUN ] OpCopyInplaceTest.SmokeTest 2024-06-26T05:15:39.1947442Z [ OK ] OpCopyInplaceTest.SmokeTest (0 ms) 2024-06-26T05:15:39.1948098Z [ RUN ] OpCopyInplaceTest.BroadCastSrcSupported 2024-06-26T05:15:39.1948843Z [ OK ] OpCopyInplaceTest.BroadCastSrcSupported (0 ms) 2024-06-26T05:15:39.1949564Z [----------] 2 tests from OpCopyInplaceTest (0 ms total) 2024-06-26T05:15:39.1949950Z 2024-06-26T05:15:39.1950150Z [----------] 11 tests from OpCosOutTest 2024-06-26T05:15:39.1950712Z [ RUN ] OpCosOutTest.HandleBoolInput 2024-06-26T05:15:39.1951321Z [ OK ] OpCosOutTest.HandleBoolInput (0 ms) 2024-06-26T05:15:39.1952103Z [ RUN ] OpCosOutTest.AllRealInputHalfOutputStaticDynamismSupport 2024-06-26T05:15:39.1953088Z [ OK ] OpCosOutTest.AllRealInputHalfOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1954083Z [ RUN ] OpCosOutTest.AllRealInputFloatOutputStaticDynamismSupport 2024-06-26T05:15:39.1955089Z [ OK ] OpCosOutTest.AllRealInputFloatOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1956124Z [ RUN ] OpCosOutTest.AllRealInputDoubleOutputStaticDynamismSupport 2024-06-26T05:15:39.1957145Z [ OK ] OpCosOutTest.AllRealInputDoubleOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1958244Z [ RUN ] OpCosOutTest.AllRealInputHalfOutputBoundDynamismSupport 2024-06-26T05:15:39.1959204Z [ OK ] OpCosOutTest.AllRealInputHalfOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1960177Z [ RUN ] OpCosOutTest.AllRealInputFloatOutputBoundDynamismSupport 2024-06-26T05:15:39.1961158Z [ OK ] OpCosOutTest.AllRealInputFloatOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1962143Z [ RUN ] OpCosOutTest.AllRealInputDoubleOutputBoundDynamismSupport 2024-06-26T05:15:39.1965332Z [ OK ] OpCosOutTest.AllRealInputDoubleOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1966375Z [ RUN ] OpCosOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.1967108Z /executorch/kernels/test/op_cos_test.cpp:132: Skipped 2024-06-26T05:15:39.1967605Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1968397Z [ SKIPPED ] OpCosOutTest.AllRealInputFloatOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.1969441Z [ RUN ] OpCosOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.1970176Z /executorch/kernels/test/op_cos_test.cpp:143: Skipped 2024-06-26T05:15:39.1970669Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1971459Z [ SKIPPED ] OpCosOutTest.AllRealInputDoubleOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.1972358Z [ RUN ] OpCosOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.1973100Z [ OK ] OpCosOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.1973981Z [ RUN ] OpCosOutTest.MismatchedInputShapesDies 2024-06-26T05:15:39.1974694Z [ OK ] OpCosOutTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.1975392Z [----------] 11 tests from OpCosOutTest (0 ms total) 2024-06-26T05:15:39.1975761Z 2024-06-26T05:15:39.1975981Z [----------] 11 tests from OpCoshOutTest 2024-06-26T05:15:39.1976534Z [ RUN ] OpCoshOutTest.HandleBoolInput 2024-06-26T05:15:39.1977153Z [ OK ] OpCoshOutTest.HandleBoolInput (0 ms) 2024-06-26T05:15:39.1978020Z [ RUN ] OpCoshOutTest.AllRealInputHalfOutputStaticDynamismSupport 2024-06-26T05:15:39.1979012Z [ OK ] OpCoshOutTest.AllRealInputHalfOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1980082Z [ RUN ] OpCoshOutTest.AllRealInputFloatOutputStaticDynamismSupport 2024-06-26T05:15:39.1981107Z [ OK ] OpCoshOutTest.AllRealInputFloatOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1982175Z [ RUN ] OpCoshOutTest.AllRealInputDoubleOutputStaticDynamismSupport 2024-06-26T05:15:39.1983197Z [ OK ] OpCoshOutTest.AllRealInputDoubleOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.1984187Z [ RUN ] OpCoshOutTest.AllRealInputHalfOutputBoundDynamismSupport 2024-06-26T05:15:39.1985161Z [ OK ] OpCoshOutTest.AllRealInputHalfOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1986137Z [ RUN ] OpCoshOutTest.AllRealInputFloatOutputBoundDynamismSupport 2024-06-26T05:15:39.1987437Z [ OK ] OpCoshOutTest.AllRealInputFloatOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1989014Z [ RUN ] OpCoshOutTest.AllRealInputDoubleOutputBoundDynamismSupport 2024-06-26T05:15:39.1990608Z [ OK ] OpCoshOutTest.AllRealInputDoubleOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.1992248Z [ RUN ] OpCoshOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.1993382Z /executorch/kernels/test/op_cosh_test.cpp:132: Skipped 2024-06-26T05:15:39.1994112Z Dynamic shape unbound not supported 2024-06-26T05:15:39.1995486Z [ SKIPPED ] OpCoshOutTest.AllRealInputFloatOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.1997302Z [ RUN ] OpCoshOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.1998595Z /executorch/kernels/test/op_cosh_test.cpp:143: Skipped 2024-06-26T05:15:39.1999253Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2000352Z [ SKIPPED ] OpCoshOutTest.AllRealInputDoubleOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.2001648Z [ RUN ] OpCoshOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.2002751Z [ OK ] OpCoshOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.2003849Z [ RUN ] OpCoshOutTest.MismatchedInputShapesDies 2024-06-26T05:15:39.2004829Z [ OK ] OpCoshOutTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.2005741Z [----------] 11 tests from OpCoshOutTest (0 ms total) 2024-06-26T05:15:39.2006147Z 2024-06-26T05:15:39.2006454Z [----------] 8 tests from OpCumSumOutTest 2024-06-26T05:15:39.2007100Z [ RUN ] OpCumSumOutTest.MismatchedDimensionsDies 2024-06-26T05:15:39.2007848Z [ OK ] OpCumSumOutTest.MismatchedDimensionsDies (0 ms) 2024-06-26T05:15:39.2008555Z [ RUN ] OpCumSumOutTest.EnforcedDtypePasses 2024-06-26T05:15:39.2009243Z [ OK ] OpCumSumOutTest.EnforcedDtypePasses (0 ms) 2024-06-26T05:15:39.2009933Z [ RUN ] OpCumSumOutTest.TypeCastCornerCases 2024-06-26T05:15:39.2010666Z [ OK ] OpCumSumOutTest.TypeCastCornerCases (0 ms) 2024-06-26T05:15:39.2011727Z [ RUN ] OpCumSumOutTest.FloatSpecificTest 2024-06-26T05:15:39.2012697Z [ OK ] OpCumSumOutTest.FloatSpecificTest (0 ms) 2024-06-26T05:15:39.2013849Z [ RUN ] OpCumSumOutTest.SimpleGeneratedCase 2024-06-26T05:15:39.2015077Z [ OK ] OpCumSumOutTest.SimpleGeneratedCase (0 ms) 2024-06-26T05:15:39.2016403Z [ RUN ] OpCumSumOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2017637Z [ OK ] OpCumSumOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2019280Z [ RUN ] OpCumSumOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2021160Z [ OK ] OpCumSumOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2022819Z [ RUN ] OpCumSumOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2023910Z /executorch/kernels/test/op_cumsum_test.cpp:264: Skipped 2024-06-26T05:15:39.2024865Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2025980Z [ SKIPPED ] OpCumSumOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2027294Z [----------] 8 tests from OpCumSumOutTest (1 ms total) 2024-06-26T05:15:39.2028073Z 2024-06-26T05:15:39.2028526Z [----------] 7 tests from OpDetachCopyOutTest 2024-06-26T05:15:39.2029809Z [ RUN ] OpDetachCopyOutTest.AllScalarInputOutputSupport 2024-06-26T05:15:39.2031407Z [ OK ] OpDetachCopyOutTest.AllScalarInputOutputSupport (0 ms) 2024-06-26T05:15:39.2032861Z [ RUN ] OpDetachCopyOutTest.MismatchedShapesDies 2024-06-26T05:15:39.2034262Z [ OK ] OpDetachCopyOutTest.MismatchedShapesDies (0 ms) 2024-06-26T05:15:39.2034880Z [ RUN ] OpDetachCopyOutTest.MismatchedInputDtypesDies 2024-06-26T05:15:39.2035603Z [ OK ] OpDetachCopyOutTest.MismatchedInputDtypesDies (0 ms) 2024-06-26T05:15:39.2036147Z [ RUN ] OpDetachCopyOutTest.SimpleGeneratedCase 2024-06-26T05:15:39.2036730Z [ OK ] OpDetachCopyOutTest.SimpleGeneratedCase (0 ms) 2024-06-26T05:15:39.2037514Z [ RUN ] OpDetachCopyOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2038506Z [ OK ] OpDetachCopyOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2039291Z [ RUN ] OpDetachCopyOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2040295Z [ OK ] OpDetachCopyOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2040848Z [ RUN ] OpDetachCopyOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2041300Z /executorch/kernels/test/op_detach_copy_test.cpp:194: Skipped 2024-06-26T05:15:39.2041542Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2042224Z [ SKIPPED ] OpDetachCopyOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2042748Z [----------] 7 tests from OpDetachCopyOutTest (0 ms total) 2024-06-26T05:15:39.2042760Z 2024-06-26T05:15:39.2043227Z [----------] 3 tests from OpDiagonalCopyOutTest 2024-06-26T05:15:39.2043730Z [ RUN ] OpDiagonalCopyOutTest.SmokeTest2D 2024-06-26T05:15:39.2044260Z [ OK ] OpDiagonalCopyOutTest.SmokeTest2D (0 ms) 2024-06-26T05:15:39.2044799Z [ RUN ] OpDiagonalCopyOutTest.SmokeTest3D 2024-06-26T05:15:39.2045331Z [ OK ] OpDiagonalCopyOutTest.SmokeTest3D (0 ms) 2024-06-26T05:15:39.2045818Z [ RUN ] OpDiagonalCopyOutTest.SmokeTest4D 2024-06-26T05:15:39.2046369Z [ OK ] OpDiagonalCopyOutTest.SmokeTest4D (0 ms) 2024-06-26T05:15:39.2046966Z [----------] 3 tests from OpDiagonalCopyOutTest (0 ms total) 2024-06-26T05:15:39.2046977Z 2024-06-26T05:15:39.2047333Z [----------] 14 tests from OpDivOutTest 2024-06-26T05:15:39.2047815Z [ RUN ] OpDivOutTest.AllRealDtypesSupported 2024-06-26T05:15:39.2048389Z [ OK ] OpDivOutTest.AllRealDtypesSupported (1 ms) 2024-06-26T05:15:39.2048832Z [ RUN ] OpDivOutTest.BroadcastSupported1 2024-06-26T05:15:39.2049365Z [ OK ] OpDivOutTest.BroadcastSupported1 (0 ms) 2024-06-26T05:15:39.2049826Z [ RUN ] OpDivOutTest.BroadcastSupported2 2024-06-26T05:15:39.2050367Z [ OK ] OpDivOutTest.BroadcastSupported2 (0 ms) 2024-06-26T05:15:39.2050892Z [ RUN ] OpDivOutTest.BroadcastScalarSupported1 2024-06-26T05:15:39.2051484Z [ OK ] OpDivOutTest.BroadcastScalarSupported1 (0 ms) 2024-06-26T05:15:39.2052004Z [ RUN ] OpDivOutTest.BroadcastScalarSupported2 2024-06-26T05:15:39.2052581Z [ OK ] OpDivOutTest.BroadcastScalarSupported2 (0 ms) 2024-06-26T05:15:39.2053101Z [ RUN ] OpDivOutTest.BroadcastDimSizeIsOneAB 2024-06-26T05:15:39.2053733Z [ OK ] OpDivOutTest.BroadcastDimSizeIsOneAB (0 ms) 2024-06-26T05:15:39.2054292Z [ RUN ] OpDivOutTest.BroadcastDimSizeMissingAB 2024-06-26T05:15:39.2054885Z [ OK ] OpDivOutTest.BroadcastDimSizeMissingAB (0 ms) 2024-06-26T05:15:39.2055348Z [ RUN ] OpDivOutTest.BroadcastDimSizeIsOneBA 2024-06-26T05:15:39.2055926Z [ OK ] OpDivOutTest.BroadcastDimSizeIsOneBA (0 ms) 2024-06-26T05:15:39.2056405Z [ RUN ] OpDivOutTest.BroadcastDimSizeMissingBA 2024-06-26T05:15:39.2057013Z [ OK ] OpDivOutTest.BroadcastDimSizeMissingBA (0 ms) 2024-06-26T05:15:39.2057519Z [ RUN ] OpDivOutTest.MismatchedShapesDies 2024-06-26T05:15:39.2058043Z [ OK ] OpDivOutTest.MismatchedShapesDies (0 ms) 2024-06-26T05:15:39.2058601Z [ RUN ] OpDivOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.2059162Z [ OK ] OpDivOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.2059924Z [ RUN ] OpDivOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2060686Z [ OK ] OpDivOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2061418Z [ RUN ] OpDivOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2062195Z [ OK ] OpDivOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2062691Z [ RUN ] OpDivOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2063061Z /executorch/kernels/test/op_div_test.cpp:436: Skipped 2024-06-26T05:15:39.2063365Z Dynamic shape not supported 2024-06-26T05:15:39.2063887Z [ SKIPPED ] OpDivOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2064362Z [----------] 14 tests from OpDivOutTest (2 ms total) 2024-06-26T05:15:39.2064372Z 2024-06-26T05:15:39.2064782Z [----------] 3 tests from OpDivScalarOutTest 2024-06-26T05:15:39.2065329Z [ RUN ] OpDivScalarOutTest.SanityCheckIntScalar 2024-06-26T05:15:39.2065928Z [ OK ] OpDivScalarOutTest.SanityCheckIntScalar (0 ms) 2024-06-26T05:15:39.2066528Z [ RUN ] OpDivScalarOutTest.SanityCheckFloatScalar 2024-06-26T05:15:39.2067162Z [ OK ] OpDivScalarOutTest.SanityCheckFloatScalar (0 ms) 2024-06-26T05:15:39.2067700Z [ RUN ] OpDivScalarOutTest.OptimizedSanityCheck 2024-06-26T05:15:39.2068300Z [ OK ] OpDivScalarOutTest.OptimizedSanityCheck (0 ms) 2024-06-26T05:15:39.2068883Z [----------] 3 tests from OpDivScalarOutTest (0 ms total) 2024-06-26T05:15:39.2068896Z 2024-06-26T05:15:39.2069315Z [----------] 13 tests from OpEmbeddingOutTest 2024-06-26T05:15:39.2069697Z [ RUN ] OpEmbeddingOutTest.Smoke 2024-06-26T05:15:39.2070115Z [ OK ] OpEmbeddingOutTest.Smoke (0 ms) 2024-06-26T05:15:39.2070658Z [ RUN ] OpEmbeddingOutTest.AllDtypesSupported 2024-06-26T05:15:39.2071226Z [ OK ] OpEmbeddingOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.2071742Z [ RUN ] OpEmbeddingOutTest.IndicesMultiDims 2024-06-26T05:15:39.2072272Z [ OK ] OpEmbeddingOutTest.IndicesMultiDims (0 ms) 2024-06-26T05:15:39.2072885Z [ RUN ] OpEmbeddingOutTest.WeightWrongDimensionsDies 2024-06-26T05:15:39.2073556Z [ OK ] OpEmbeddingOutTest.WeightWrongDimensionsDies (0 ms) 2024-06-26T05:15:39.2074093Z [ RUN ] OpEmbeddingOutTest.WrongOutShapeDies 2024-06-26T05:15:39.2074675Z [ OK ] OpEmbeddingOutTest.WrongOutShapeDies (0 ms) 2024-06-26T05:15:39.2075217Z [ RUN ] OpEmbeddingOutTest.UnmatchedOutTypeDie 2024-06-26T05:15:39.2075796Z [ OK ] OpEmbeddingOutTest.UnmatchedOutTypeDie (0 ms) 2024-06-26T05:15:39.2076339Z [ RUN ] OpEmbeddingOutTest.OutOfBoundIndicesDies 2024-06-26T05:15:39.2076950Z [ OK ] OpEmbeddingOutTest.OutOfBoundIndicesDies (0 ms) 2024-06-26T05:15:39.2077539Z [ RUN ] OpEmbeddingOutTest.EmptyWeightSupported 2024-06-26T05:15:39.2078265Z [ OK ] OpEmbeddingOutTest.EmptyWeightSupported (0 ms) 2024-06-26T05:15:39.2078895Z [ RUN ] OpEmbeddingOutTest.ZeroDimIndicesSupported 2024-06-26T05:15:39.2079550Z [ OK ] OpEmbeddingOutTest.ZeroDimIndicesSupported (0 ms) 2024-06-26T05:15:39.2080161Z [ RUN ] OpEmbeddingOutTest.EmptyDimIndicesSupported 2024-06-26T05:15:39.2080699Z [ OK ] OpEmbeddingOutTest.EmptyDimIndicesSupported (0 ms) 2024-06-26T05:15:39.2081111Z [ RUN ] OpEmbeddingOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2081582Z [ OK ] OpEmbeddingOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2082226Z [ RUN ] OpEmbeddingOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2083098Z [ OK ] OpEmbeddingOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2083668Z [ RUN ] OpEmbeddingOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2084110Z /executorch/kernels/test/op_embedding_test.cpp:459: Skipped 2024-06-26T05:15:39.2084365Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2084955Z [ SKIPPED ] OpEmbeddingOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2085350Z [----------] 13 tests from OpEmbeddingOutTest (0 ms total) 2024-06-26T05:15:39.2085365Z 2024-06-26T05:15:39.2085755Z [----------] 11 tests from OpEmptyOutTest 2024-06-26T05:15:39.2086174Z [ RUN ] OpEmptyOutTest.ByteTensors 2024-06-26T05:15:39.2086668Z [ OK ] OpEmptyOutTest.ByteTensors (0 ms) 2024-06-26T05:15:39.2087022Z [ RUN ] OpEmptyOutTest.CharTensors 2024-06-26T05:15:39.2087420Z [ OK ] OpEmptyOutTest.CharTensors (0 ms) 2024-06-26T05:15:39.2087853Z [ RUN ] OpEmptyOutTest.ShortTensors 2024-06-26T05:15:39.2088310Z [ OK ] OpEmptyOutTest.ShortTensors (0 ms) 2024-06-26T05:15:39.2088695Z [ RUN ] OpEmptyOutTest.IntTensors 2024-06-26T05:15:39.2089148Z [ OK ] OpEmptyOutTest.IntTensors (0 ms) 2024-06-26T05:15:39.2089554Z [ RUN ] OpEmptyOutTest.LongTensors 2024-06-26T05:15:39.2090001Z [ OK ] OpEmptyOutTest.LongTensors (0 ms) 2024-06-26T05:15:39.2090422Z [ RUN ] OpEmptyOutTest.FloatTensors 2024-06-26T05:15:39.2090903Z [ OK ] OpEmptyOutTest.FloatTensors (0 ms) 2024-06-26T05:15:39.2091419Z [ RUN ] OpEmptyOutTest.DoubleTensors 2024-06-26T05:15:39.2091911Z [ OK ] OpEmptyOutTest.DoubleTensors (0 ms) 2024-06-26T05:15:39.2092324Z [ RUN ] OpEmptyOutTest.BoolTensors 2024-06-26T05:15:39.2092790Z [ OK ] OpEmptyOutTest.BoolTensors (0 ms) 2024-06-26T05:15:39.2093517Z [ RUN ] OpEmptyOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2094306Z [ OK ] OpEmptyOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2095094Z [ RUN ] OpEmptyOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2095883Z [ OK ] OpEmptyOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2096391Z [ RUN ] OpEmptyOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2096771Z /executorch/kernels/test/op_empty_test.cpp:82: Skipped 2024-06-26T05:15:39.2097009Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2097563Z [ SKIPPED ] OpEmptyOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2098098Z [----------] 11 tests from OpEmptyOutTest (0 ms total) 2024-06-26T05:15:39.2098108Z 2024-06-26T05:15:39.2098531Z [----------] 7 tests from OpEqScalarOutTest 2024-06-26T05:15:39.2099146Z [ RUN ] OpEqScalarOutTest.AllRealInputBoolOutputSupport 2024-06-26T05:15:39.2099969Z [ OK ] OpEqScalarOutTest.AllRealInputBoolOutputSupport (0 ms) 2024-06-26T05:15:39.2100512Z [ RUN ] OpEqScalarOutTest.BoolInputDtype 2024-06-26T05:15:39.2101042Z [ OK ] OpEqScalarOutTest.BoolInputDtype (0 ms) 2024-06-26T05:15:39.2101571Z [ RUN ] OpEqScalarOutTest.MismatchedShapesDies 2024-06-26T05:15:39.2102180Z [ OK ] OpEqScalarOutTest.MismatchedShapesDies (0 ms) 2024-06-26T05:15:39.2102724Z [ RUN ] OpEqScalarOutTest.AllRealOutputDTypes 2024-06-26T05:15:39.2103377Z [ OK ] OpEqScalarOutTest.AllRealOutputDTypes (0 ms) 2024-06-26T05:15:39.2104071Z [ RUN ] OpEqScalarOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2104871Z [ OK ] OpEqScalarOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2105669Z [ RUN ] OpEqScalarOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2106511Z [ OK ] OpEqScalarOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2107065Z [ RUN ] OpEqScalarOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2107431Z /executorch/kernels/test/op_eq_test.cpp:163: Skipped 2024-06-26T05:15:39.2107685Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2108317Z [ SKIPPED ] OpEqScalarOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2108851Z [----------] 7 tests from OpEqScalarOutTest (0 ms total) 2024-06-26T05:15:39.2108866Z 2024-06-26T05:15:39.2109205Z [----------] 3 tests from OpErfTest 2024-06-26T05:15:39.2109589Z [ RUN ] OpErfTest.SanityCheck 2024-06-26T05:15:39.2110075Z [ OK ] OpErfTest.SanityCheck (0 ms) 2024-06-26T05:15:39.2110470Z [ RUN ] OpErfTest.HandleBoolInput 2024-06-26T05:15:39.2110929Z [ OK ] OpErfTest.HandleBoolInput (0 ms) 2024-06-26T05:15:39.2111287Z [ RUN ] OpErfTest.HalfSupport 2024-06-26T05:15:39.2111697Z [ OK ] OpErfTest.HalfSupport (0 ms) 2024-06-26T05:15:39.2112118Z [----------] 3 tests from OpErfTest (0 ms total) 2024-06-26T05:15:39.2112134Z 2024-06-26T05:15:39.2112505Z [----------] 7 tests from OpExpOutTest 2024-06-26T05:15:39.2113096Z [ RUN ] OpExpOutTest.AllFloatInputFloatOutputSupport 2024-06-26T05:15:39.2113788Z [ OK ] OpExpOutTest.AllFloatInputFloatOutputSupport (0 ms) 2024-06-26T05:15:39.2114434Z [ RUN ] OpExpOutTest.AllFloatInputDoubleOutputSupport 2024-06-26T05:15:39.2115136Z [ OK ] OpExpOutTest.AllFloatInputDoubleOutputSupport (0 ms) 2024-06-26T05:15:39.2115636Z [ RUN ] OpExpOutTest.HandleBoolInput 2024-06-26T05:15:39.2116123Z [ OK ] OpExpOutTest.HandleBoolInput (0 ms) 2024-06-26T05:15:39.2116553Z [ RUN ] OpExpOutTest.HandleHalfInput 2024-06-26T05:15:39.2117026Z [ OK ] OpExpOutTest.HandleHalfInput (0 ms) 2024-06-26T05:15:39.2117532Z [ RUN ] OpExpOutTest.MismatchedShapesDies 2024-06-26T05:15:39.2118185Z [ OK ] OpExpOutTest.MismatchedShapesDies (0 ms) 2024-06-26T05:15:39.2118736Z [ RUN ] OpExpOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.2119377Z [ OK ] OpExpOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.2119819Z [ RUN ] OpExpOutTest.DynamicOutputShape 2024-06-26T05:15:39.2120347Z [ OK ] OpExpOutTest.DynamicOutputShape (0 ms) 2024-06-26T05:15:39.2120859Z [----------] 7 tests from OpExpOutTest (0 ms total) 2024-06-26T05:15:39.2120866Z 2024-06-26T05:15:39.2121226Z [----------] 24 tests from OpExpandOutTest 2024-06-26T05:15:39.2121572Z [ RUN ] OpExpandOutTest.NoOp 2024-06-26T05:15:39.2121983Z [ OK ] OpExpandOutTest.NoOp (0 ms) 2024-06-26T05:15:39.2122391Z [ RUN ] OpExpandOutTest.PrependDims 2024-06-26T05:15:39.2122864Z [ OK ] OpExpandOutTest.PrependDims (0 ms) 2024-06-26T05:15:39.2123332Z [ RUN ] OpExpandOutTest.GrowExistingDim 2024-06-26T05:15:39.2123939Z [ OK ] OpExpandOutTest.GrowExistingDim (0 ms) 2024-06-26T05:15:39.2124405Z [ RUN ] OpExpandOutTest.AllNegativeOnes 2024-06-26T05:15:39.2124927Z [ OK ] OpExpandOutTest.AllNegativeOnes (0 ms) 2024-06-26T05:15:39.2125406Z [ RUN ] OpExpandOutTest.AllNegativeOnes2 2024-06-26T05:15:39.2125940Z [ OK ] OpExpandOutTest.AllNegativeOnes2 (0 ms) 2024-06-26T05:15:39.2126472Z [ RUN ] OpExpandOutTest.EndsNegativeOnes 2024-06-26T05:15:39.2127013Z [ OK ] OpExpandOutTest.EndsNegativeOnes (0 ms) 2024-06-26T05:15:39.2127489Z [ RUN ] OpExpandOutTest.MoreNegativeOnes 2024-06-26T05:15:39.2128030Z [ OK ] OpExpandOutTest.MoreNegativeOnes (0 ms) 2024-06-26T05:15:39.2128571Z [ RUN ] OpExpandOutTest.BadExpandDimsTooSmall 2024-06-26T05:15:39.2129153Z [ OK ] OpExpandOutTest.BadExpandDimsTooSmall (0 ms) 2024-06-26T05:15:39.2129693Z [ RUN ] OpExpandOutTest.BadLeadingNegativeOnes 2024-06-26T05:15:39.2130311Z [ OK ] OpExpandOutTest.BadLeadingNegativeOnes (0 ms) 2024-06-26T05:15:39.2130747Z [ RUN ] OpExpandOutTest.ExpandDimsOneToN 2024-06-26T05:15:39.2131267Z [ OK ] OpExpandOutTest.ExpandDimsOneToN (0 ms) 2024-06-26T05:15:39.2131872Z [ RUN ] OpExpandOutTest.ExpandOneToNPlusNewDimUniform 2024-06-26T05:15:39.2132579Z [ OK ] OpExpandOutTest.ExpandOneToNPlusNewDimUniform (0 ms) 2024-06-26T05:15:39.2133245Z [ RUN ] OpExpandOutTest.ExpandOneToNPlusNewDimDifferent 2024-06-26T05:15:39.2134061Z [ OK ] OpExpandOutTest.ExpandOneToNPlusNewDimDifferent (0 ms) 2024-06-26T05:15:39.2134745Z [ RUN ] OpExpandOutTest.ExpandOneToNPlusNewDimDifferentTwo 2024-06-26T05:15:39.2135532Z [ OK ] OpExpandOutTest.ExpandOneToNPlusNewDimDifferentTwo (0 ms) 2024-06-26T05:15:39.2136151Z [ RUN ] OpExpandOutTest.BadOutDataTypeGoodShapeDeath 2024-06-26T05:15:39.2136837Z [ OK ] OpExpandOutTest.BadOutDataTypeGoodShapeDeath (0 ms) 2024-06-26T05:15:39.2137476Z [ RUN ] OpExpandOutTest.BadOutShapeGoodDataTypeDeath 2024-06-26T05:15:39.2138161Z [ OK ] OpExpandOutTest.BadOutShapeGoodDataTypeDeath (0 ms) 2024-06-26T05:15:39.2138500Z [ RUN ] OpExpandOutTest.SingleToMany 2024-06-26T05:15:39.2138829Z [ OK ] OpExpandOutTest.SingleToMany (0 ms) 2024-06-26T05:15:39.2139384Z [ RUN ] OpExpandOutTest.ZeroDimInputExpand_1 2024-06-26T05:15:39.2140031Z [ OK ] OpExpandOutTest.ZeroDimInputExpand_1 (0 ms) 2024-06-26T05:15:39.2140571Z [ RUN ] OpExpandOutTest.ZeroDimInputExpand_2 2024-06-26T05:15:39.2141120Z [ OK ] OpExpandOutTest.ZeroDimInputExpand_2 (0 ms) 2024-06-26T05:15:39.2141767Z [ RUN ] OpExpandOutTest.ZeroDimInputZeroDimOutputExpand 2024-06-26T05:15:39.2142505Z [ OK ] OpExpandOutTest.ZeroDimInputZeroDimOutputExpand (0 ms) 2024-06-26T05:15:39.2142944Z [ RUN ] OpExpandOutTest.ResizedOutput 2024-06-26T05:15:39.2143463Z [ OK ] OpExpandOutTest.ResizedOutput (0 ms) 2024-06-26T05:15:39.2143877Z [ RUN ] OpExpandOutTest.ImplicitTrue 2024-06-26T05:15:39.2144362Z [ OK ] OpExpandOutTest.ImplicitTrue (0 ms) 2024-06-26T05:15:39.2145083Z [ RUN ] OpExpandOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2145918Z [ OK ] OpExpandOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2146717Z [ RUN ] OpExpandOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2147157Z /executorch/kernels/test/op_expand_copy_test.cpp:381: Skipped 2024-06-26T05:15:39.2147375Z Dynamic shape not supported 2024-06-26T05:15:39.2148293Z [ SKIPPED ] OpExpandOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2148784Z [ RUN ] OpExpandOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2149298Z /executorch/kernels/test/op_expand_copy_test.cpp:421: Skipped 2024-06-26T05:15:39.2149530Z Dynamic shape not supported 2024-06-26T05:15:39.2150090Z [ SKIPPED ] OpExpandOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2150573Z [----------] 24 tests from OpExpandOutTest (0 ms total) 2024-06-26T05:15:39.2150585Z 2024-06-26T05:15:39.2151037Z [----------] 1 test from OpExpm1OutTest 2024-06-26T05:15:39.2151412Z [ RUN ] OpExpm1OutTest.SmokeTest 2024-06-26T05:15:39.2151852Z [ OK ] OpExpm1OutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2152331Z [----------] 1 test from OpExpm1OutTest (0 ms total) 2024-06-26T05:15:39.2152343Z 2024-06-26T05:15:39.2152706Z [----------] 19 tests from OpFillTest 2024-06-26T05:15:39.2153196Z [ RUN ] OpFillTest.ByteScalarInputSupport 2024-06-26T05:15:39.2153725Z [ OK ] OpFillTest.ByteScalarInputSupport (0 ms) 2024-06-26T05:15:39.2154216Z [ RUN ] OpFillTest.CharScalarInputSupport 2024-06-26T05:15:39.2154754Z [ OK ] OpFillTest.CharScalarInputSupport (0 ms) 2024-06-26T05:15:39.2155239Z [ RUN ] OpFillTest.ShortScalarInputSupport 2024-06-26T05:15:39.2155781Z [ OK ] OpFillTest.ShortScalarInputSupport (0 ms) 2024-06-26T05:15:39.2156266Z [ RUN ] OpFillTest.IntScalarInputSupport 2024-06-26T05:15:39.2156792Z [ OK ] OpFillTest.IntScalarInputSupport (0 ms) 2024-06-26T05:15:39.2157304Z [ RUN ] OpFillTest.LongScalarInputSupport 2024-06-26T05:15:39.2158008Z [ OK ] OpFillTest.LongScalarInputSupport (0 ms) 2024-06-26T05:15:39.2158519Z [ RUN ] OpFillTest.FloatScalarInputSupport 2024-06-26T05:15:39.2159048Z [ OK ] OpFillTest.FloatScalarInputSupport (0 ms) 2024-06-26T05:15:39.2159505Z [ RUN ] OpFillTest.DoubleScalarInputSupport 2024-06-26T05:15:39.2160063Z [ OK ] OpFillTest.DoubleScalarInputSupport (0 ms) 2024-06-26T05:15:39.2160573Z [ RUN ] OpFillTest.BoolScalarInputSupport 2024-06-26T05:15:39.2161090Z [ OK ] OpFillTest.BoolScalarInputSupport (0 ms) 2024-06-26T05:15:39.2161583Z [ RUN ] OpFillTest.ByteTensorInputSupport 2024-06-26T05:15:39.2162122Z [ OK ] OpFillTest.ByteTensorInputSupport (0 ms) 2024-06-26T05:15:39.2162616Z [ RUN ] OpFillTest.CharTensorInputSupport 2024-06-26T05:15:39.2163255Z [ OK ] OpFillTest.CharTensorInputSupport (0 ms) 2024-06-26T05:15:39.2163729Z [ RUN ] OpFillTest.ShortTensorInputSupport 2024-06-26T05:15:39.2164272Z [ OK ] OpFillTest.ShortTensorInputSupport (0 ms) 2024-06-26T05:15:39.2164752Z [ RUN ] OpFillTest.IntTensorInputSupport 2024-06-26T05:15:39.2165293Z [ OK ] OpFillTest.IntTensorInputSupport (0 ms) 2024-06-26T05:15:39.2165799Z [ RUN ] OpFillTest.LongTensorInputSupport 2024-06-26T05:15:39.2166342Z [ OK ] OpFillTest.LongTensorInputSupport (0 ms) 2024-06-26T05:15:39.2166807Z [ RUN ] OpFillTest.FloatTensorInputSupport 2024-06-26T05:15:39.2167355Z [ OK ] OpFillTest.FloatTensorInputSupport (0 ms) 2024-06-26T05:15:39.2167804Z [ RUN ] OpFillTest.DoubleTensorInputSupport 2024-06-26T05:15:39.2168345Z [ OK ] OpFillTest.DoubleTensorInputSupport (0 ms) 2024-06-26T05:15:39.2168827Z [ RUN ] OpFillTest.BoolTensorInputSupport 2024-06-26T05:15:39.2169392Z [ OK ] OpFillTest.BoolTensorInputSupport (0 ms) 2024-06-26T05:15:39.2169939Z [ RUN ] OpFillTest.MismatchedOtherPropertiesDies 2024-06-26T05:15:39.2170566Z [ OK ] OpFillTest.MismatchedOtherPropertiesDies (0 ms) 2024-06-26T05:15:39.2171097Z [ RUN ] OpFillTest.MismatchedOutputShapesDies 2024-06-26T05:15:39.2171692Z [ OK ] OpFillTest.MismatchedOutputShapesDies (0 ms) 2024-06-26T05:15:39.2172301Z [ RUN ] OpFillTest.MismatchedOutputDtypeDies 2024-06-26T05:15:39.2172860Z [ OK ] OpFillTest.MismatchedOutputDtypeDies (0 ms) 2024-06-26T05:15:39.2173292Z [----------] 19 tests from OpFillTest (1 ms total) 2024-06-26T05:15:39.2173304Z 2024-06-26T05:15:39.2173686Z [----------] 2 tests from OpFlipOutTest 2024-06-26T05:15:39.2174168Z [ RUN ] OpFlipOutTest.SmokeTest1Dim 2024-06-26T05:15:39.2174644Z [ OK ] OpFlipOutTest.SmokeTest1Dim (0 ms) 2024-06-26T05:15:39.2175076Z [ RUN ] OpFlipOutTest.SmokeTest2Dims 2024-06-26T05:15:39.2175565Z [ OK ] OpFlipOutTest.SmokeTest2Dims (0 ms) 2024-06-26T05:15:39.2176072Z [----------] 2 tests from OpFlipOutTest (0 ms total) 2024-06-26T05:15:39.2176083Z 2024-06-26T05:15:39.2176510Z [----------] 17 tests from OpFloorDivideTest 2024-06-26T05:15:39.2176918Z [ RUN ] OpFloorDivideTest.ByteTensors 2024-06-26T05:15:39.2177401Z [ OK ] OpFloorDivideTest.ByteTensors (0 ms) 2024-06-26T05:15:39.2177803Z [ RUN ] OpFloorDivideTest.CharTensors 2024-06-26T05:15:39.2178297Z [ OK ] OpFloorDivideTest.CharTensors (0 ms) 2024-06-26T05:15:39.2178759Z [ RUN ] OpFloorDivideTest.ShortTensors 2024-06-26T05:15:39.2179266Z [ OK ] OpFloorDivideTest.ShortTensors (0 ms) 2024-06-26T05:15:39.2179744Z [ RUN ] OpFloorDivideTest.IntTensors 2024-06-26T05:15:39.2180241Z [ OK ] OpFloorDivideTest.IntTensors (0 ms) 2024-06-26T05:15:39.2180783Z [ RUN ] OpFloorDivideTest.LongTensors 2024-06-26T05:15:39.2181290Z [ OK ] OpFloorDivideTest.LongTensors (0 ms) 2024-06-26T05:15:39.2181737Z [ RUN ] OpFloorDivideTest.FloatTensors 2024-06-26T05:15:39.2182226Z [ OK ] OpFloorDivideTest.FloatTensors (0 ms) 2024-06-26T05:15:39.2182700Z [ RUN ] OpFloorDivideTest.DoubleTensors 2024-06-26T05:15:39.2183237Z [ OK ] OpFloorDivideTest.DoubleTensors (0 ms) 2024-06-26T05:15:39.2183758Z [ RUN ] OpFloorDivideTest.UnhandledDtypeDies 2024-06-26T05:15:39.2184348Z [ OK ] OpFloorDivideTest.UnhandledDtypeDies (0 ms) 2024-06-26T05:15:39.2184964Z [ RUN ] OpFloorDivideTest.MismatchedInputShapesDies 2024-06-26T05:15:39.2185645Z [ OK ] OpFloorDivideTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.2186350Z [ RUN ] OpFloorDivideTest.MismatchedOutputShapesDies 2024-06-26T05:15:39.2186970Z [ OK ] OpFloorDivideTest.MismatchedOutputShapesDies (0 ms) 2024-06-26T05:15:39.2187297Z [ RUN ] OpFloorDivideTest.BroadcastDimSizeIsOneAB 2024-06-26T05:15:39.2187541Z /executorch/kernels/test/op_floor_divide_test.cpp:172: Skipped 2024-06-26T05:15:39.2187662Z Dynamic shape not supported 2024-06-26T05:15:39.2188041Z [ SKIPPED ] OpFloorDivideTest.BroadcastDimSizeIsOneAB (0 ms) 2024-06-26T05:15:39.2188360Z [ RUN ] OpFloorDivideTest.BroadcastDimSizeMissingAB 2024-06-26T05:15:39.2188601Z /executorch/kernels/test/op_floor_divide_test.cpp:192: Skipped 2024-06-26T05:15:39.2188731Z Dynamic shape not supported 2024-06-26T05:15:39.2189103Z [ SKIPPED ] OpFloorDivideTest.BroadcastDimSizeMissingAB (0 ms) 2024-06-26T05:15:39.2189410Z [ RUN ] OpFloorDivideTest.BroadcastDimSizeIsOneBA 2024-06-26T05:15:39.2189666Z /executorch/kernels/test/op_floor_divide_test.cpp:212: Skipped 2024-06-26T05:15:39.2189787Z Dynamic shape not supported 2024-06-26T05:15:39.2190160Z [ SKIPPED ] OpFloorDivideTest.BroadcastDimSizeIsOneBA (0 ms) 2024-06-26T05:15:39.2190478Z [ RUN ] OpFloorDivideTest.BroadcastDimSizeMissingBA 2024-06-26T05:15:39.2190716Z /executorch/kernels/test/op_floor_divide_test.cpp:232: Skipped 2024-06-26T05:15:39.2190844Z Dynamic shape not supported 2024-06-26T05:15:39.2191221Z [ SKIPPED ] OpFloorDivideTest.BroadcastDimSizeMissingBA (0 ms) 2024-06-26T05:15:39.2191659Z [ RUN ] OpFloorDivideTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2191908Z /executorch/kernels/test/op_floor_divide_test.cpp:252: Skipped 2024-06-26T05:15:39.2192026Z Dynamic shape not supported 2024-06-26T05:15:39.2192496Z [ SKIPPED ] OpFloorDivideTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2192935Z [ RUN ] OpFloorDivideTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2193213Z /executorch/kernels/test/op_floor_divide_test.cpp:280: Skipped 2024-06-26T05:15:39.2193336Z Dynamic shape not supported 2024-06-26T05:15:39.2193852Z [ SKIPPED ] OpFloorDivideTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2194135Z [ RUN ] OpFloorDivideTest.DynamicShapeUnbound 2024-06-26T05:15:39.2194388Z /executorch/kernels/test/op_floor_divide_test.cpp:308: Skipped 2024-06-26T05:15:39.2194507Z Dynamic shape not supported 2024-06-26T05:15:39.2194836Z [ SKIPPED ] OpFloorDivideTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2195127Z [----------] 17 tests from OpFloorDivideTest (0 ms total) 2024-06-26T05:15:39.2195134Z 2024-06-26T05:15:39.2195329Z [----------] 2 tests from OpFloorTest 2024-06-26T05:15:39.2195532Z [ RUN ] OpFloorTest.SanityCheck 2024-06-26T05:15:39.2195777Z [ OK ] OpFloorTest.SanityCheck (0 ms) 2024-06-26T05:15:39.2195980Z [ RUN ] OpFloorTest.HalfSupport 2024-06-26T05:15:39.2196215Z [ OK ] OpFloorTest.HalfSupport (0 ms) 2024-06-26T05:15:39.2196518Z [----------] 2 tests from OpFloorTest (0 ms total) 2024-06-26T05:15:39.2196523Z 2024-06-26T05:15:39.2196705Z [----------] 1 test from OpFmodTest 2024-06-26T05:15:39.2196907Z [ RUN ] OpFmodTest.SmokeTest 2024-06-26T05:15:39.2197122Z [ OK ] OpFmodTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2197361Z [----------] 1 test from OpFmodTest (0 ms total) 2024-06-26T05:15:39.2197366Z 2024-06-26T05:15:39.2197584Z [----------] 7 tests from OpFullLikeTest 2024-06-26T05:15:39.2197953Z [ RUN ] OpFullLikeTest.AllRealOutputPasses 2024-06-26T05:15:39.2198248Z [ OK ] OpFullLikeTest.AllRealOutputPasses (0 ms) 2024-06-26T05:15:39.2198522Z [ RUN ] OpFullLikeTest.MismatchedShapeDies 2024-06-26T05:15:39.2198809Z [ OK ] OpFullLikeTest.MismatchedShapeDies (0 ms) 2024-06-26T05:15:39.2199138Z [ RUN ] OpFullLikeTest.SimpleGeneratedCase 2024-06-26T05:15:39.2199428Z [ OK ] OpFullLikeTest.SimpleGeneratedCase (0 ms) 2024-06-26T05:15:39.2199804Z [ RUN ] OpFullLikeTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2200236Z [ OK ] OpFullLikeTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2200636Z [ RUN ] OpFullLikeTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2201085Z [ OK ] OpFullLikeTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2201360Z [ RUN ] OpFullLikeTest.DynamicShapeUnbound 2024-06-26T05:15:39.2201588Z /executorch/kernels/test/op_full_like_test.cpp:172: Skipped 2024-06-26T05:15:39.2201720Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2202045Z [ SKIPPED ] OpFullLikeTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2202268Z [ RUN ] OpFullLikeTest.HalfSupport 2024-06-26T05:15:39.2202528Z [ OK ] OpFullLikeTest.HalfSupport (0 ms) 2024-06-26T05:15:39.2202793Z [----------] 7 tests from OpFullLikeTest (0 ms total) 2024-06-26T05:15:39.2202801Z 2024-06-26T05:15:39.2203001Z [----------] 7 tests from OpFullOutTest 2024-06-26T05:15:39.2203223Z [ RUN ] OpFullOutTest.ByteTensors 2024-06-26T05:15:39.2203465Z [ OK ] OpFullOutTest.ByteTensors (0 ms) 2024-06-26T05:15:39.2203673Z [ RUN ] OpFullOutTest.CharTensors 2024-06-26T05:15:39.2203959Z [ OK ] OpFullOutTest.CharTensors (0 ms) 2024-06-26T05:15:39.2204179Z [ RUN ] OpFullOutTest.ShortTensors 2024-06-26T05:15:39.2204420Z [ OK ] OpFullOutTest.ShortTensors (0 ms) 2024-06-26T05:15:39.2204636Z [ RUN ] OpFullOutTest.IntTensors 2024-06-26T05:15:39.2204871Z [ OK ] OpFullOutTest.IntTensors (0 ms) 2024-06-26T05:15:39.2205115Z [ RUN ] OpFullOutTest.LongTensors 2024-06-26T05:15:39.2205368Z [ OK ] OpFullOutTest.LongTensors (0 ms) 2024-06-26T05:15:39.2205584Z [ RUN ] OpFullOutTest.FloatTensors 2024-06-26T05:15:39.2205843Z [ OK ] OpFullOutTest.FloatTensors (0 ms) 2024-06-26T05:15:39.2206065Z [ RUN ] OpFullOutTest.DoubleTensors 2024-06-26T05:15:39.2206312Z [ OK ] OpFullOutTest.DoubleTensors (0 ms) 2024-06-26T05:15:39.2206580Z [----------] 7 tests from OpFullOutTest (0 ms total) 2024-06-26T05:15:39.2206585Z 2024-06-26T05:15:39.2206809Z [----------] 4 tests from OpGeScalarOutTest 2024-06-26T05:15:39.2207161Z [ RUN ] OpGeScalarOutTest.AllRealInputBoolOutputSupport 2024-06-26T05:15:39.2207553Z [ OK ] OpGeScalarOutTest.AllRealInputBoolOutputSupport (0 ms) 2024-06-26T05:15:39.2207803Z [ RUN ] OpGeScalarOutTest.BoolInputDtype 2024-06-26T05:15:39.2208083Z [ OK ] OpGeScalarOutTest.BoolInputDtype (0 ms) 2024-06-26T05:15:39.2208411Z [ RUN ] OpGeScalarOutTest.MismatchedInOutShapesDies 2024-06-26T05:15:39.2208761Z [ OK ] OpGeScalarOutTest.MismatchedInOutShapesDies (0 ms) 2024-06-26T05:15:39.2209100Z [ RUN ] OpGeScalarOutTest.DynamicOutShapeTest 2024-06-26T05:15:39.2209408Z [ OK ] OpGeScalarOutTest.DynamicOutShapeTest (0 ms) 2024-06-26T05:15:39.2209684Z [----------] 4 tests from OpGeScalarOutTest (0 ms total) 2024-06-26T05:15:39.2209689Z 2024-06-26T05:15:39.2209922Z [----------] 4 tests from OpGeTensorOutTest 2024-06-26T05:15:39.2210202Z [ RUN ] OpGeTensorOutTest.AllDtypesSupported 2024-06-26T05:15:39.2210503Z [ OK ] OpGeTensorOutTest.AllDtypesSupported (1 ms) 2024-06-26T05:15:39.2210811Z [ RUN ] OpGeTensorOutTest.MismatchedInShapesDies 2024-06-26T05:15:39.2211141Z [ OK ] OpGeTensorOutTest.MismatchedInShapesDies (0 ms) 2024-06-26T05:15:39.2211473Z [ RUN ] OpGeTensorOutTest.MismatchedInOutShapesDies 2024-06-26T05:15:39.2211852Z [ OK ] OpGeTensorOutTest.MismatchedInOutShapesDies (0 ms) 2024-06-26T05:15:39.2212137Z [ RUN ] OpGeTensorOutTest.DynamicOutShapeTest 2024-06-26T05:15:39.2212456Z [ OK ] OpGeTensorOutTest.DynamicOutShapeTest (0 ms) 2024-06-26T05:15:39.2212733Z [----------] 4 tests from OpGeTensorOutTest (1 ms total) 2024-06-26T05:15:39.2212739Z 2024-06-26T05:15:39.2212930Z [----------] 9 tests from OpGeluTest 2024-06-26T05:15:39.2213146Z [ RUN ] OpGeluTest.FloatTensors 2024-06-26T05:15:39.2213381Z [ OK ] OpGeluTest.FloatTensors (0 ms) 2024-06-26T05:15:39.2213586Z [ RUN ] OpGeluTest.DoubleTensors 2024-06-26T05:15:39.2213833Z [ OK ] OpGeluTest.DoubleTensors (0 ms) 2024-06-26T05:15:39.2214066Z [ RUN ] OpGeluTest.UnhandledDtypeDies 2024-06-26T05:15:39.2214336Z [ OK ] OpGeluTest.UnhandledDtypeDies (0 ms) 2024-06-26T05:15:39.2214610Z [ RUN ] OpGeluTest.MismatchedOutputDtypeDies 2024-06-26T05:15:39.2214912Z [ OK ] OpGeluTest.MismatchedOutputDtypeDies (0 ms) 2024-06-26T05:15:39.2215178Z [ RUN ] OpGeluTest.InvalidAppxStringDies 2024-06-26T05:15:39.2215457Z [ OK ] OpGeluTest.InvalidAppxStringDies (0 ms) 2024-06-26T05:15:39.2215695Z [ RUN ] OpGeluTest.SimpleGeneratedCase 2024-06-26T05:15:39.2215973Z [ OK ] OpGeluTest.SimpleGeneratedCase (0 ms) 2024-06-26T05:15:39.2216425Z [ RUN ] OpGeluTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2216929Z [ OK ] OpGeluTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2217530Z [ RUN ] OpGeluTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2217872Z /executorch/kernels/test/op_gelu_test.cpp:209: Skipped 2024-06-26T05:15:39.2218116Z Dynamic shape not supported 2024-06-26T05:15:39.2218959Z [ SKIPPED ] OpGeluTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2219430Z [ RUN ] OpGeluTest.DynamicShapeUnbound 2024-06-26T05:15:39.2219883Z /executorch/kernels/test/op_gelu_test.cpp:236: Skipped 2024-06-26T05:15:39.2220096Z Dynamic shape not supported 2024-06-26T05:15:39.2220663Z [ SKIPPED ] OpGeluTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2221126Z [----------] 9 tests from OpGeluTest (0 ms total) 2024-06-26T05:15:39.2221136Z 2024-06-26T05:15:39.2221515Z [----------] 10 tests from OpGluOutTest 2024-06-26T05:15:39.2222024Z [ RUN ] OpGluOutTest.AllInputFloatOutputSupport 2024-06-26T05:15:39.2222632Z [ OK ] OpGluOutTest.AllInputFloatOutputSupport (0 ms) 2024-06-26T05:15:39.2223159Z [ RUN ] OpGluOutTest.AllInputDoubleOutputSupport 2024-06-26T05:15:39.2223762Z [ OK ] OpGluOutTest.AllInputDoubleOutputSupport (0 ms) 2024-06-26T05:15:39.2224230Z [ RUN ] OpGluOutTest.InfinityAndNANTest 2024-06-26T05:15:39.2224705Z [ OK ] OpGluOutTest.InfinityAndNANTest (0 ms) 2024-06-26T05:15:39.2225267Z [ RUN ] OpGluOutTest.MismatchedShapesDies 2024-06-26T05:15:39.2225791Z [ OK ] OpGluOutTest.MismatchedShapesDies (0 ms) 2024-06-26T05:15:39.2226210Z [ RUN ] OpGluOutTest.InvalidDimDies 2024-06-26T05:15:39.2226700Z [ OK ] OpGluOutTest.InvalidDimDies (0 ms) 2024-06-26T05:15:39.2227243Z [ RUN ] OpGluOutTest.AllNonFloatInputDTypeDies 2024-06-26T05:15:39.2227826Z [ OK ] OpGluOutTest.AllNonFloatInputDTypeDies (0 ms) 2024-06-26T05:15:39.2228395Z [ RUN ] OpGluOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.2229018Z [ OK ] OpGluOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.2229710Z [ RUN ] OpGluOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2230075Z /executorch/kernels/test/op_glu_test.cpp:176: Skipped 2024-06-26T05:15:39.2230306Z Dynamic shape not supported 2024-06-26T05:15:39.2231201Z [ SKIPPED ] OpGluOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2231927Z [ RUN ] OpGluOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2232760Z [ OK ] OpGluOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2233248Z [ RUN ] OpGluOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2233600Z /executorch/kernels/test/op_glu_test.cpp:229: Skipped 2024-06-26T05:15:39.2233747Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2234062Z [ SKIPPED ] OpGluOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2234318Z [----------] 10 tests from OpGluOutTest (0 ms total) 2024-06-26T05:15:39.2234324Z 2024-06-26T05:15:39.2234548Z [----------] 4 tests from OpGtScalarOutTest 2024-06-26T05:15:39.2234909Z [ RUN ] OpGtScalarOutTest.AllRealInputBoolOutputSupport 2024-06-26T05:15:39.2235297Z [ OK ] OpGtScalarOutTest.AllRealInputBoolOutputSupport (0 ms) 2024-06-26T05:15:39.2235557Z [ RUN ] OpGtScalarOutTest.BoolInputDtype 2024-06-26T05:15:39.2235836Z [ OK ] OpGtScalarOutTest.BoolInputDtype (0 ms) 2024-06-26T05:15:39.2236153Z [ RUN ] OpGtScalarOutTest.MismatchedInOutShapesDies 2024-06-26T05:15:39.2236510Z [ OK ] OpGtScalarOutTest.MismatchedInOutShapesDies (0 ms) 2024-06-26T05:15:39.2236788Z [ RUN ] OpGtScalarOutTest.DynamicOutShapeTest 2024-06-26T05:15:39.2237146Z [ OK ] OpGtScalarOutTest.DynamicOutShapeTest (0 ms) 2024-06-26T05:15:39.2237580Z [----------] 4 tests from OpGtScalarOutTest (0 ms total) 2024-06-26T05:15:39.2237590Z 2024-06-26T05:15:39.2238115Z [----------] 4 tests from OpGtTensorOutTest 2024-06-26T05:15:39.2238551Z [ RUN ] OpGtTensorOutTest.AllDtypesSupported 2024-06-26T05:15:39.2238918Z [ OK ] OpGtTensorOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.2239216Z [ RUN ] OpGtTensorOutTest.MismatchedInShapesDies 2024-06-26T05:15:39.2239557Z [ OK ] OpGtTensorOutTest.MismatchedInShapesDies (0 ms) 2024-06-26T05:15:39.2239873Z [ RUN ] OpGtTensorOutTest.MismatchedInOutShapesDies 2024-06-26T05:15:39.2240224Z [ OK ] OpGtTensorOutTest.MismatchedInOutShapesDies (0 ms) 2024-06-26T05:15:39.2240521Z [ RUN ] OpGtTensorOutTest.DynamicOutShapeTest 2024-06-26T05:15:39.2240825Z [ OK ] OpGtTensorOutTest.DynamicOutShapeTest (0 ms) 2024-06-26T05:15:39.2241101Z [----------] 4 tests from OpGtTensorOutTest (1 ms total) 2024-06-26T05:15:39.2241120Z 2024-06-26T05:15:39.2241322Z [----------] 1 test from OpHardTanhTest 2024-06-26T05:15:39.2241540Z [ RUN ] OpHardTanhTest.SanityCheck 2024-06-26T05:15:39.2241797Z [ OK ] OpHardTanhTest.SanityCheck (0 ms) 2024-06-26T05:15:39.2242058Z [----------] 1 test from OpHardTanhTest (0 ms total) 2024-06-26T05:15:39.2242063Z 2024-06-26T05:15:39.2242288Z [----------] 22 tests from OpIndexPutOutTest 2024-06-26T05:15:39.2242582Z [ RUN ] OpIndexPutOutTest.IndexPutMask 2024-06-26T05:15:39.2242849Z [ OK ] OpIndexPutOutTest.IndexPutMask (0 ms) 2024-06-26T05:15:39.2243137Z [ RUN ] OpIndexPutOutTest.IndexPutMaskBroadcast 2024-06-26T05:15:39.2243475Z [ OK ] OpIndexPutOutTest.IndexPutMaskBroadcast (0 ms) 2024-06-26T05:15:39.2243767Z [ RUN ] OpIndexPutOutTest.PutFrontDimAllIndexes 2024-06-26T05:15:39.2244106Z [ OK ] OpIndexPutOutTest.PutFrontDimAllIndexes (0 ms) 2024-06-26T05:15:39.2244414Z [ RUN ] OpIndexPutOutTest.PutTwoValuesAtSameIndex 2024-06-26T05:15:39.2244752Z [ OK ] OpIndexPutOutTest.PutTwoValuesAtSameIndex (0 ms) 2024-06-26T05:15:39.2245136Z [ RUN ] OpIndexPutOutTest.IndicesFewerThanInputDimSupported 2024-06-26T05:15:39.2245591Z [ OK ] OpIndexPutOutTest.IndicesFewerThanInputDimSupported (0 ms) 2024-06-26T05:15:39.2246041Z [ RUN ] OpIndexPutOutTest.IndicesFewerThanInputDimSupportedSameValue 2024-06-26T05:15:39.2246541Z [ OK ] OpIndexPutOutTest.IndicesFewerThanInputDimSupportedSameValue (0 ms) 2024-06-26T05:15:39.2246867Z [ RUN ] OpIndexPutOutTest.AllDtypesSupportedForInput 2024-06-26T05:15:39.2247223Z [ OK ] OpIndexPutOutTest.AllDtypesSupportedForInput (0 ms) 2024-06-26T05:15:39.2247600Z [ RUN ] OpIndexPutOutTest.AllDtypesSupportedForIndicesList 2024-06-26T05:15:39.2248005Z [ OK ] OpIndexPutOutTest.AllDtypesSupportedForIndicesList (0 ms) 2024-06-26T05:15:39.2248300Z [ RUN ] OpIndexPutOutTest.IndexOutOfBoundDies 2024-06-26T05:15:39.2248605Z [ OK ] OpIndexPutOutTest.IndexOutOfBoundDies (0 ms) 2024-06-26T05:15:39.2248935Z [ RUN ] OpIndexPutOutTest.NegativeIndexOutOfBoundDies 2024-06-26T05:15:39.2249312Z [ OK ] OpIndexPutOutTest.NegativeIndexOutOfBoundDies (0 ms) 2024-06-26T05:15:39.2249655Z [ RUN ] OpIndexPutOutTest.TooManyBooleanIndexCountDies 2024-06-26T05:15:39.2250022Z [ OK ] OpIndexPutOutTest.TooManyBooleanIndexCountDies (0 ms) 2024-06-26T05:15:39.2250367Z [ RUN ] OpIndexPutOutTest.TooFewBooleanIndexCountDies 2024-06-26T05:15:39.2250726Z [ OK ] OpIndexPutOutTest.TooFewBooleanIndexCountDies (0 ms) 2024-06-26T05:15:39.2251033Z [ RUN ] OpIndexPutOutTest.MismatchedIndexMaskDies 2024-06-26T05:15:39.2251420Z [ OK ] OpIndexPutOutTest.MismatchedIndexMaskDies (0 ms) 2024-06-26T05:15:39.2251749Z [ RUN ] OpIndexPutOutTest.MismatchedOutputDtypesDies 2024-06-26T05:15:39.2252118Z [ OK ] OpIndexPutOutTest.MismatchedOutputDtypesDies (0 ms) 2024-06-26T05:15:39.2252443Z [ RUN ] OpIndexPutOutTest.MismatchedValuesDtypesDies 2024-06-26T05:15:39.2252837Z [ OK ] OpIndexPutOutTest.MismatchedValuesDtypesDies (0 ms) 2024-06-26T05:15:39.2253167Z [ RUN ] OpIndexPutOutTest.ValuesSizeMismatchDimDies 2024-06-26T05:15:39.2253516Z [ OK ] OpIndexPutOutTest.ValuesSizeMismatchDimDies (0 ms) 2024-06-26T05:15:39.2253825Z [ RUN ] OpIndexPutOutTest.InvalidIndicesDtypeDies 2024-06-26T05:15:39.2254172Z [ OK ] OpIndexPutOutTest.InvalidIndicesDtypeDies (0 ms) 2024-06-26T05:15:39.2254486Z [ RUN ] OpIndexPutOutTest.InvalidIndicesShapesDies 2024-06-26T05:15:39.2254834Z [ OK ] OpIndexPutOutTest.InvalidIndicesShapesDies (0 ms) 2024-06-26T05:15:39.2255097Z [ RUN ] OpIndexPutOutTest.NonLinearIndices 2024-06-26T05:15:39.2255389Z [ OK ] OpIndexPutOutTest.NonLinearIndices (0 ms) 2024-06-26T05:15:39.2255796Z [ RUN ] OpIndexPutOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2256241Z [ OK ] OpIndexPutOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2256667Z [ RUN ] OpIndexPutOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2256950Z /executorch/kernels/test/op_index_put_test.cpp:1001: Skipped 2024-06-26T05:15:39.2257071Z Dynamic shape not supported 2024-06-26T05:15:39.2257577Z [ SKIPPED ] OpIndexPutOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2257867Z [ RUN ] OpIndexPutOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2258099Z /executorch/kernels/test/op_index_put_test.cpp:1009: Skipped 2024-06-26T05:15:39.2258219Z Dynamic shape not supported 2024-06-26T05:15:39.2258565Z [ SKIPPED ] OpIndexPutOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2258843Z [----------] 22 tests from OpIndexPutOutTest (2 ms total) 2024-06-26T05:15:39.2258848Z 2024-06-26T05:15:39.2259100Z [----------] 17 tests from OpIndexSelectOutTest 2024-06-26T05:15:39.2259437Z [ RUN ] OpIndexSelectOutTest.SelectFrontDimAllIndexes 2024-06-26T05:15:39.2259924Z [ OK ] OpIndexSelectOutTest.SelectFrontDimAllIndexes (0 ms) 2024-06-26T05:15:39.2260285Z [ RUN ] OpIndexSelectOutTest.SelectMiddleDimAllIndexes 2024-06-26T05:15:39.2260655Z [ OK ] OpIndexSelectOutTest.SelectMiddleDimAllIndexes (0 ms) 2024-06-26T05:15:39.2260975Z [ RUN ] OpIndexSelectOutTest.SelectEndDimAllIndexes 2024-06-26T05:15:39.2261338Z [ OK ] OpIndexSelectOutTest.SelectEndDimAllIndexes (0 ms) 2024-06-26T05:15:39.2261634Z [ RUN ] OpIndexSelectOutTest.AllDtypesSupported 2024-06-26T05:15:39.2261971Z [ OK ] OpIndexSelectOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.2262451Z [ RUN ] OpIndexSelectOutTest.NonEmptyInputEmptyOutputWithMismatchDimDies 2024-06-26T05:15:39.2262977Z [ OK ] OpIndexSelectOutTest.NonEmptyInputEmptyOutputWithMismatchDimDies (0 ms) 2024-06-26T05:15:39.2263494Z [ RUN ] OpIndexSelectOutTest.EmptyInputEmptyOutputWithMatchingDimSupported 2024-06-26T05:15:39.2264041Z [ OK ] OpIndexSelectOutTest.EmptyInputEmptyOutputWithMatchingDimSupported (0 ms) 2024-06-26T05:15:39.2264332Z [ RUN ] OpIndexSelectOutTest.DimOutOfBoundDies 2024-06-26T05:15:39.2264657Z [ OK ] OpIndexSelectOutTest.DimOutOfBoundDies (0 ms) 2024-06-26T05:15:39.2264964Z [ RUN ] OpIndexSelectOutTest.MismatchedDtypesDies 2024-06-26T05:15:39.2265312Z [ OK ] OpIndexSelectOutTest.MismatchedDtypesDies (0 ms) 2024-06-26T05:15:39.2265707Z [ RUN ] OpIndexSelectOutTest.OutMatchNumelLackDimAtEndDies 2024-06-26T05:15:39.2266107Z [ OK ] OpIndexSelectOutTest.OutMatchNumelLackDimAtEndDies (0 ms) 2024-06-26T05:15:39.2266503Z [ RUN ] OpIndexSelectOutTest.OutMatchNumelExtraDimAtFrontDies 2024-06-26T05:15:39.2266932Z [ OK ] OpIndexSelectOutTest.OutMatchNumelExtraDimAtFrontDies (0 ms) 2024-06-26T05:15:39.2267283Z [ RUN ] OpIndexSelectOutTest.OutSizeMismatchDimDies 2024-06-26T05:15:39.2267649Z [ OK ] OpIndexSelectOutTest.OutSizeMismatchDimDies (0 ms) 2024-06-26T05:15:39.2267990Z [ RUN ] OpIndexSelectOutTest.IndexWithInvalidDtypeDies 2024-06-26T05:15:39.2268364Z [ OK ] OpIndexSelectOutTest.IndexWithInvalidDtypeDies (0 ms) 2024-06-26T05:15:39.2268700Z [ RUN ] OpIndexSelectOutTest.IndexWithInvalidDimDies 2024-06-26T05:15:39.2269059Z [ OK ] OpIndexSelectOutTest.IndexWithInvalidDimDies (0 ms) 2024-06-26T05:15:39.2269369Z [ RUN ] OpIndexSelectOutTest.UpperBoundOutTensor 2024-06-26T05:15:39.2269698Z [ OK ] OpIndexSelectOutTest.UpperBoundOutTensor (0 ms) 2024-06-26T05:15:39.2270118Z [ RUN ] OpIndexSelectOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2270597Z [ OK ] OpIndexSelectOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2271053Z [ RUN ] OpIndexSelectOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2271333Z /executorch/kernels/test/op_index_select_test.cpp:509: Skipped 2024-06-26T05:15:39.2271469Z Dynamic shape not supported 2024-06-26T05:15:39.2271992Z [ SKIPPED ] OpIndexSelectOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2272293Z [ RUN ] OpIndexSelectOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2272549Z /executorch/kernels/test/op_index_select_test.cpp:517: Skipped 2024-06-26T05:15:39.2272671Z Dynamic shape not supported 2024-06-26T05:15:39.2273038Z [ SKIPPED ] OpIndexSelectOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2273335Z [----------] 17 tests from OpIndexSelectOutTest (1 ms total) 2024-06-26T05:15:39.2273341Z 2024-06-26T05:15:39.2273580Z [----------] 19 tests from OpIndexTensorOutTest 2024-06-26T05:15:39.2273833Z [ RUN ] OpIndexTensorOutTest.IndexMask 2024-06-26T05:15:39.2274130Z [ OK ] OpIndexTensorOutTest.IndexMask (0 ms) 2024-06-26T05:15:39.2274467Z [ RUN ] OpIndexTensorOutTest.SelectFrontDimAllIndexes 2024-06-26T05:15:39.2274845Z [ OK ] OpIndexTensorOutTest.SelectFrontDimAllIndexes (0 ms) 2024-06-26T05:15:39.2275191Z [ RUN ] OpIndexTensorOutTest.SelectTwoValuesAtSameIndex 2024-06-26T05:15:39.2275578Z [ OK ] OpIndexTensorOutTest.SelectTwoValuesAtSameIndex (0 ms) 2024-06-26T05:15:39.2275973Z [ RUN ] OpIndexTensorOutTest.IndicesFewerThanInputDimSupported 2024-06-26T05:15:39.2276411Z [ OK ] OpIndexTensorOutTest.IndicesFewerThanInputDimSupported (0 ms) 2024-06-26T05:15:39.2276800Z [ RUN ] OpIndexTensorOutTest.IndicesWithNullTensorsSupported 2024-06-26T05:15:39.2277219Z [ OK ] OpIndexTensorOutTest.IndicesWithNullTensorsSupported (0 ms) 2024-06-26T05:15:39.2277627Z [ RUN ] OpIndexTensorOutTest.IndicesWithOnlyNullTensorsSupported 2024-06-26T05:15:39.2278246Z [ OK ] OpIndexTensorOutTest.IndicesWithOnlyNullTensorsSupported (0 ms) 2024-06-26T05:15:39.2278568Z [ RUN ] OpIndexTensorOutTest.EmptyIndicesSupported 2024-06-26T05:15:39.2278912Z [ OK ] OpIndexTensorOutTest.EmptyIndicesSupported (0 ms) 2024-06-26T05:15:39.2279276Z [ RUN ] OpIndexTensorOutTest.AllDtypesSupportedForInput 2024-06-26T05:15:39.2279654Z [ OK ] OpIndexTensorOutTest.AllDtypesSupportedForInput (0 ms) 2024-06-26T05:15:39.2280060Z [ RUN ] OpIndexTensorOutTest.AllDtypesSupportedForIndex 2024-06-26T05:15:39.2280444Z [ OK ] OpIndexTensorOutTest.AllDtypesSupportedForIndex (0 ms) 2024-06-26T05:15:39.2280743Z [ RUN ] OpIndexTensorOutTest.IndexOutOfBoundDies 2024-06-26T05:15:39.2281084Z [ OK ] OpIndexTensorOutTest.IndexOutOfBoundDies (0 ms) 2024-06-26T05:15:39.2281476Z [ RUN ] OpIndexTensorOutTest.NegativeIndexOutOfBoundDies 2024-06-26T05:15:39.2281953Z [ OK ] OpIndexTensorOutTest.NegativeIndexOutOfBoundDies (0 ms) 2024-06-26T05:15:39.2282465Z [ RUN ] OpIndexTensorOutTest.TooManyBooleanIndexCountDies 2024-06-26T05:15:39.2283091Z [ OK ] OpIndexTensorOutTest.TooManyBooleanIndexCountDies (0 ms) 2024-06-26T05:15:39.2283705Z [ RUN ] OpIndexTensorOutTest.TooFewBooleanIndexCountDies 2024-06-26T05:15:39.2284388Z [ OK ] OpIndexTensorOutTest.TooFewBooleanIndexCountDies (0 ms) 2024-06-26T05:15:39.2285018Z [ RUN ] OpIndexTensorOutTest.MismatchedIndexMaskDies 2024-06-26T05:15:39.2285710Z [ OK ] OpIndexTensorOutTest.MismatchedIndexMaskDies (0 ms) 2024-06-26T05:15:39.2286251Z [ RUN ] OpIndexTensorOutTest.MismatchedOutputDimDies 2024-06-26T05:15:39.2286906Z [ OK ] OpIndexTensorOutTest.MismatchedOutputDimDies (0 ms) 2024-06-26T05:15:39.2287546Z [ RUN ] OpIndexTensorOutTest.InvalidIndicesDtypeDies 2024-06-26T05:15:39.2288210Z [ OK ] OpIndexTensorOutTest.InvalidIndicesDtypeDies (0 ms) 2024-06-26T05:15:39.2288982Z [ RUN ] OpIndexTensorOutTest.InvalidIndicesShapesDies 2024-06-26T05:15:39.2289673Z [ OK ] OpIndexTensorOutTest.InvalidIndicesShapesDies (0 ms) 2024-06-26T05:15:39.2290323Z [ RUN ] OpIndexTensorOutTest.InvalidIndicesShapeDies2 2024-06-26T05:15:39.2291021Z [ OK ] OpIndexTensorOutTest.InvalidIndicesShapeDies2 (0 ms) 2024-06-26T05:15:39.2291609Z [ RUN ] OpIndexTensorOutTest.UpperBoundOutTensor 2024-06-26T05:15:39.2292249Z [ OK ] OpIndexTensorOutTest.UpperBoundOutTensor (0 ms) 2024-06-26T05:15:39.2292804Z [----------] 19 tests from OpIndexTensorOutTest (1 ms total) 2024-06-26T05:15:39.2292814Z 2024-06-26T05:15:39.2293182Z [----------] 5 tests from OpIsInfTest 2024-06-26T05:15:39.2293589Z [ RUN ] OpIsInfTest.SanityCheckFloat 2024-06-26T05:15:39.2294148Z [ OK ] OpIsInfTest.SanityCheckFloat (0 ms) 2024-06-26T05:15:39.2294585Z [ RUN ] OpIsInfTest.SanityCheckHalf 2024-06-26T05:15:39.2295032Z [ OK ] OpIsInfTest.SanityCheckHalf (0 ms) 2024-06-26T05:15:39.2295424Z [ RUN ] OpIsInfTest.SanityCheckByte 2024-06-26T05:15:39.2295849Z [ OK ] OpIsInfTest.SanityCheckByte (0 ms) 2024-06-26T05:15:39.2296283Z [ RUN ] OpIsInfTest.SanityCheckBool 2024-06-26T05:15:39.2296700Z [ OK ] OpIsInfTest.SanityCheckBool (0 ms) 2024-06-26T05:15:39.2297172Z [ RUN ] OpIsInfTest.SanityCheckOutDtype 2024-06-26T05:15:39.2297700Z [ OK ] OpIsInfTest.SanityCheckOutDtype (0 ms) 2024-06-26T05:15:39.2298170Z [----------] 5 tests from OpIsInfTest (0 ms total) 2024-06-26T05:15:39.2298181Z 2024-06-26T05:15:39.2298565Z [----------] 5 tests from OpIsNanTest 2024-06-26T05:15:39.2298921Z [ RUN ] OpIsNanTest.SanityCheckFloat 2024-06-26T05:15:39.2299228Z [ OK ] OpIsNanTest.SanityCheckFloat (0 ms) 2024-06-26T05:15:39.2299511Z [ RUN ] OpIsNanTest.SanityCheckHalf 2024-06-26T05:15:39.2299996Z [ OK ] OpIsNanTest.SanityCheckHalf (0 ms) 2024-06-26T05:15:39.2300324Z [ RUN ] OpIsNanTest.SanityCheckByte 2024-06-26T05:15:39.2300636Z [ OK ] OpIsNanTest.SanityCheckByte (0 ms) 2024-06-26T05:15:39.2300931Z [ RUN ] OpIsNanTest.SanityCheckBool 2024-06-26T05:15:39.2301275Z [ OK ] OpIsNanTest.SanityCheckBool (0 ms) 2024-06-26T05:15:39.2301640Z [ RUN ] OpIsNanTest.SanityCheckOutDtype 2024-06-26T05:15:39.2302083Z [ OK ] OpIsNanTest.SanityCheckOutDtype (0 ms) 2024-06-26T05:15:39.2302507Z [----------] 5 tests from OpIsNanTest (0 ms total) 2024-06-26T05:15:39.2302514Z 2024-06-26T05:15:39.2302895Z [----------] 4 tests from OpLeScalarOutTest 2024-06-26T05:15:39.2303549Z [ RUN ] OpLeScalarOutTest.AllRealInputBoolOutputSupport 2024-06-26T05:15:39.2303958Z [ OK ] OpLeScalarOutTest.AllRealInputBoolOutputSupport (0 ms) 2024-06-26T05:15:39.2304227Z [ RUN ] OpLeScalarOutTest.BoolInputDtype 2024-06-26T05:15:39.2304507Z [ OK ] OpLeScalarOutTest.BoolInputDtype (0 ms) 2024-06-26T05:15:39.2304837Z [ RUN ] OpLeScalarOutTest.MismatchedInOutShapesDies 2024-06-26T05:15:39.2305186Z [ OK ] OpLeScalarOutTest.MismatchedInOutShapesDies (0 ms) 2024-06-26T05:15:39.2305468Z [ RUN ] OpLeScalarOutTest.DynamicOutShapeTest 2024-06-26T05:15:39.2305788Z [ OK ] OpLeScalarOutTest.DynamicOutShapeTest (0 ms) 2024-06-26T05:15:39.2306065Z [----------] 4 tests from OpLeScalarOutTest (0 ms total) 2024-06-26T05:15:39.2306071Z 2024-06-26T05:15:39.2306292Z [----------] 4 tests from OpLeTensorOutTest 2024-06-26T05:15:39.2306584Z [ RUN ] OpLeTensorOutTest.AllDtypesSupported 2024-06-26T05:15:39.2306882Z [ OK ] OpLeTensorOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.2307240Z [ RUN ] OpLeTensorOutTest.MismatchedInShapesDies 2024-06-26T05:15:39.2307570Z [ OK ] OpLeTensorOutTest.MismatchedInShapesDies (0 ms) 2024-06-26T05:15:39.2307886Z [ RUN ] OpLeTensorOutTest.MismatchedInOutShapesDies 2024-06-26T05:15:39.2308251Z [ OK ] OpLeTensorOutTest.MismatchedInOutShapesDies (0 ms) 2024-06-26T05:15:39.2308532Z [ RUN ] OpLeTensorOutTest.DynamicOutShapeTest 2024-06-26T05:15:39.2308839Z [ OK ] OpLeTensorOutTest.DynamicOutShapeTest (0 ms) 2024-06-26T05:15:39.2309126Z [----------] 4 tests from OpLeTensorOutTest (1 ms total) 2024-06-26T05:15:39.2309132Z 2024-06-26T05:15:39.2309338Z [----------] 1 test from OpLeakyReluTest 2024-06-26T05:15:39.2309559Z [ RUN ] OpLeakyReluTest.SanityCheck 2024-06-26T05:15:39.2309825Z [ OK ] OpLeakyReluTest.SanityCheck (0 ms) 2024-06-26T05:15:39.2310123Z [----------] 1 test from OpLeakyReluTest (0 ms total) 2024-06-26T05:15:39.2310131Z 2024-06-26T05:15:39.2310376Z [----------] 4 tests from OpLiftFreshCopyTest 2024-06-26T05:15:39.2310665Z [ RUN ] OpLiftFreshCopyTest.AllDtypesSupported 2024-06-26T05:15:39.2310979Z [ OK ] OpLiftFreshCopyTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.2311284Z [ RUN ] OpLiftFreshCopyTest.EmptyInputSupported 2024-06-26T05:15:39.2311611Z [ OK ] OpLiftFreshCopyTest.EmptyInputSupported (0 ms) 2024-06-26T05:15:39.2311893Z [ RUN ] OpLiftFreshCopyTest.MismatchedSizesDie 2024-06-26T05:15:39.2312216Z [ OK ] OpLiftFreshCopyTest.MismatchedSizesDie (0 ms) 2024-06-26T05:15:39.2312498Z [ RUN ] OpLiftFreshCopyTest.MismatchedDTypeDie 2024-06-26T05:15:39.2312813Z [ OK ] OpLiftFreshCopyTest.MismatchedDTypeDie (0 ms) 2024-06-26T05:15:39.2313114Z [----------] 4 tests from OpLiftFreshCopyTest (0 ms total) 2024-06-26T05:15:39.2313121Z 2024-06-26T05:15:39.2313359Z [----------] 11 tests from OpLogSoftmaxOutTest 2024-06-26T05:15:39.2313588Z [ RUN ] OpLogSoftmaxOutTest.Smoke 2024-06-26T05:15:39.2313830Z [ OK ] OpLogSoftmaxOutTest.Smoke (0 ms) 2024-06-26T05:15:39.2314114Z [ RUN ] OpLogSoftmaxOutTest.AllDtypesSupported 2024-06-26T05:15:39.2314441Z [ OK ] OpLogSoftmaxOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.2314801Z [ RUN ] OpLogSoftmaxOutTest.MismatchedDimensionsDies 2024-06-26T05:15:39.2315160Z [ OK ] OpLogSoftmaxOutTest.MismatchedDimensionsDies (0 ms) 2024-06-26T05:15:39.2315519Z [ RUN ] OpLogSoftmaxOutTest.MismatchedDimensionSizeDies 2024-06-26T05:15:39.2315897Z [ OK ] OpLogSoftmaxOutTest.MismatchedDimensionSizeDies (0 ms) 2024-06-26T05:15:39.2316232Z [ RUN ] OpLogSoftmaxOutTest.TestWithLargeNumber 2024-06-26T05:15:39.2316563Z [ OK ] OpLogSoftmaxOutTest.TestWithLargeNumber (0 ms) 2024-06-26T05:15:39.2316809Z [ RUN ] OpLogSoftmaxOutTest.NegativeDim 2024-06-26T05:15:39.2317098Z [ OK ] OpLogSoftmaxOutTest.NegativeDim (0 ms) 2024-06-26T05:15:39.2317389Z [ RUN ] OpLogSoftmaxOutTest.UpperBoundOutTensor 2024-06-26T05:15:39.2317710Z [ OK ] OpLogSoftmaxOutTest.UpperBoundOutTensor (0 ms) 2024-06-26T05:15:39.2318125Z [ RUN ] OpLogSoftmaxOutTest.SimpleGeneratedCase 2024-06-26T05:15:39.2318452Z [ OK ] OpLogSoftmaxOutTest.SimpleGeneratedCase (0 ms) 2024-06-26T05:15:39.2318863Z [ RUN ] OpLogSoftmaxOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2319331Z [ OK ] OpLogSoftmaxOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2319775Z [ RUN ] OpLogSoftmaxOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2320282Z [ OK ] OpLogSoftmaxOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2320633Z [ RUN ] OpLogSoftmaxOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2320944Z /executorch/kernels/test/op_log_softmax_test.cpp:362: Skipped 2024-06-26T05:15:39.2321145Z Dynamic shape not supported 2024-06-26T05:15:39.2321612Z [ SKIPPED ] OpLogSoftmaxOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2321902Z [----------] 11 tests from OpLogSoftmaxOutTest (0 ms total) 2024-06-26T05:15:39.2321907Z 2024-06-26T05:15:39.2322188Z [----------] 10 tests from OpLogOutTest 2024-06-26T05:15:39.2322510Z [ RUN ] OpLogOutTest.AllRealInputHalfOutputSupport 2024-06-26T05:15:39.2322992Z [ OK ] OpLogOutTest.AllRealInputHalfOutputSupport (0 ms) 2024-06-26T05:15:39.2323441Z [ RUN ] OpLogOutTest.AllRealInputFloatOutputSupport 2024-06-26T05:15:39.2323992Z [ OK ] OpLogOutTest.AllRealInputFloatOutputSupport (0 ms) 2024-06-26T05:15:39.2324738Z [ RUN ] OpLogOutTest.AllRealInputDoubleOutputSupport 2024-06-26T05:15:39.2325291Z [ OK ] OpLogOutTest.AllRealInputDoubleOutputSupport (0 ms) 2024-06-26T05:15:39.2325525Z [ RUN ] OpLogOutTest.HandleBoolInput 2024-06-26T05:15:39.2325792Z [ OK ] OpLogOutTest.HandleBoolInput (0 ms) 2024-06-26T05:15:39.2326061Z [ RUN ] OpLogOutTest.MismatchedShapesDies 2024-06-26T05:15:39.2326469Z [ OK ] OpLogOutTest.MismatchedShapesDies (0 ms) 2024-06-26T05:15:39.2326862Z [ RUN ] OpLogOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.2327356Z [ OK ] OpLogOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.2327766Z [ RUN ] OpLogOutTest.SimpleGeneratedCase 2024-06-26T05:15:39.2328281Z [ OK ] OpLogOutTest.SimpleGeneratedCase (0 ms) 2024-06-26T05:15:39.2328892Z [ RUN ] OpLogOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2329658Z [ OK ] OpLogOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2330417Z [ RUN ] OpLogOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2331250Z [ OK ] OpLogOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2331704Z [ RUN ] OpLogOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2332017Z /executorch/kernels/test/op_log_test.cpp:204: Skipped 2024-06-26T05:15:39.2332250Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2332861Z [ SKIPPED ] OpLogOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2333356Z [----------] 10 tests from OpLogOutTest (0 ms total) 2024-06-26T05:15:39.2333366Z 2024-06-26T05:15:39.2333758Z [----------] 1 test from OpLog10OutTest 2024-06-26T05:15:39.2334150Z [ RUN ] OpLog10OutTest.SmokeTest 2024-06-26T05:15:39.2334967Z [ OK ] OpLog10OutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2335468Z [----------] 1 test from OpLog10OutTest (0 ms total) 2024-06-26T05:15:39.2335485Z 2024-06-26T05:15:39.2335869Z [----------] 1 test from OpLog1pOutTest 2024-06-26T05:15:39.2336264Z [ RUN ] OpLog1pOutTest.SmokeTest 2024-06-26T05:15:39.2336731Z [ OK ] OpLog1pOutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2337203Z [----------] 1 test from OpLog1pOutTest (0 ms total) 2024-06-26T05:15:39.2337213Z 2024-06-26T05:15:39.2337586Z [----------] 1 test from OpLog2OutTest 2024-06-26T05:15:39.2337989Z [ RUN ] OpLog2OutTest.SmokeTest 2024-06-26T05:15:39.2338405Z [ OK ] OpLog2OutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2338908Z [----------] 1 test from OpLog2OutTest (0 ms total) 2024-06-26T05:15:39.2338918Z 2024-06-26T05:15:39.2339365Z [----------] 3 tests from OpLogicalNotOutTest 2024-06-26T05:15:39.2340042Z [ RUN ] OpLogicalNotOutTest.MismatchedDimensionsDies 2024-06-26T05:15:39.2340755Z [ OK ] OpLogicalNotOutTest.MismatchedDimensionsDies (0 ms) 2024-06-26T05:15:39.2341300Z [ RUN ] OpLogicalNotOutTest.AllTypePasses 2024-06-26T05:15:39.2341856Z [ OK ] OpLogicalNotOutTest.AllTypePasses (1 ms) 2024-06-26T05:15:39.2342403Z [ RUN ] OpLogicalNotOutTest.FloatSpecificTest 2024-06-26T05:15:39.2342975Z [ OK ] OpLogicalNotOutTest.FloatSpecificTest (0 ms) 2024-06-26T05:15:39.2343531Z [----------] 3 tests from OpLogicalNotOutTest (1 ms total) 2024-06-26T05:15:39.2343555Z 2024-06-26T05:15:39.2343941Z [----------] 10 tests from OpLogitOutTest 2024-06-26T05:15:39.2344583Z [ RUN ] OpLogitOutTest.AllRealInputFloatOutputSupport 2024-06-26T05:15:39.2345280Z [ OK ] OpLogitOutTest.AllRealInputFloatOutputSupport (0 ms) 2024-06-26T05:15:39.2345944Z [ RUN ] OpLogitOutTest.AllRealInputDoubleOutputSupport 2024-06-26T05:15:39.2346657Z [ OK ] OpLogitOutTest.AllRealInputDoubleOutputSupport (0 ms) 2024-06-26T05:15:39.2347415Z [ RUN ] OpLogitOutTest.AllRealInputFloatOutputSupportEpsSet 2024-06-26T05:15:39.2348209Z [ OK ] OpLogitOutTest.AllRealInputFloatOutputSupportEpsSet (0 ms) 2024-06-26T05:15:39.2348945Z [ RUN ] OpLogitOutTest.AllRealInputDoubleOutputSupportEpsSet 2024-06-26T05:15:39.2349759Z [ OK ] OpLogitOutTest.AllRealInputDoubleOutputSupportEpsSet (0 ms) 2024-06-26T05:15:39.2350274Z [ RUN ] OpLogitOutTest.MismatchedShapesDies 2024-06-26T05:15:39.2350845Z [ OK ] OpLogitOutTest.MismatchedShapesDies (0 ms) 2024-06-26T05:15:39.2351422Z [ RUN ] OpLogitOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.2352034Z [ OK ] OpLogitOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.2352556Z [ RUN ] OpLogitOutTest.SimpleGeneratedCase 2024-06-26T05:15:39.2353084Z [ OK ] OpLogitOutTest.SimpleGeneratedCase (0 ms) 2024-06-26T05:15:39.2353805Z [ RUN ] OpLogitOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2354590Z [ OK ] OpLogitOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2355351Z [ RUN ] OpLogitOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2356223Z [ OK ] OpLogitOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2356741Z [ RUN ] OpLogitOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2357215Z /executorch/kernels/test/op_logit_test.cpp:255: Skipped 2024-06-26T05:15:39.2357452Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2357831Z [ SKIPPED ] OpLogitOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2358447Z [----------] 10 tests from OpLogitOutTest (0 ms total) 2024-06-26T05:15:39.2358458Z 2024-06-26T05:15:39.2358886Z [----------] 4 tests from OpLtScalarOutTest 2024-06-26T05:15:39.2359243Z [ RUN ] OpLtScalarOutTest.AllRealInputBoolOutputSupport 2024-06-26T05:15:39.2359751Z [ OK ] OpLtScalarOutTest.AllRealInputBoolOutputSupport (0 ms) 2024-06-26T05:15:39.2360017Z [ RUN ] OpLtScalarOutTest.BoolInputDtype 2024-06-26T05:15:39.2360299Z [ OK ] OpLtScalarOutTest.BoolInputDtype (0 ms) 2024-06-26T05:15:39.2360687Z [ RUN ] OpLtScalarOutTest.MismatchedInOutShapesDies 2024-06-26T05:15:39.2361100Z [ OK ] OpLtScalarOutTest.MismatchedInOutShapesDies (0 ms) 2024-06-26T05:15:39.2361565Z [ RUN ] OpLtScalarOutTest.DynamicOutShapeTest 2024-06-26T05:15:39.2362070Z [ OK ] OpLtScalarOutTest.DynamicOutShapeTest (0 ms) 2024-06-26T05:15:39.2362565Z [----------] 4 tests from OpLtScalarOutTest (0 ms total) 2024-06-26T05:15:39.2362576Z 2024-06-26T05:15:39.2362968Z [----------] 4 tests from OpLtTensorOutTest 2024-06-26T05:15:39.2363450Z [ RUN ] OpLtTensorOutTest.AllDtypesSupported 2024-06-26T05:15:39.2363961Z [ OK ] OpLtTensorOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.2364566Z [ RUN ] OpLtTensorOutTest.MismatchedInShapesDies 2024-06-26T05:15:39.2365149Z [ OK ] OpLtTensorOutTest.MismatchedInShapesDies (0 ms) 2024-06-26T05:15:39.2365763Z [ RUN ] OpLtTensorOutTest.MismatchedInOutShapesDies 2024-06-26T05:15:39.2366455Z [ OK ] OpLtTensorOutTest.MismatchedInOutShapesDies (0 ms) 2024-06-26T05:15:39.2367003Z [ RUN ] OpLtTensorOutTest.DynamicOutShapeTest 2024-06-26T05:15:39.2367397Z [ OK ] OpLtTensorOutTest.DynamicOutShapeTest (0 ms) 2024-06-26T05:15:39.2367686Z [----------] 4 tests from OpLtTensorOutTest (1 ms total) 2024-06-26T05:15:39.2367691Z 2024-06-26T05:15:39.2368029Z [----------] 22 tests from OpMaskedFillTest 2024-06-26T05:15:39.2368366Z [ RUN ] OpMaskedFillTest.ByteTensors 2024-06-26T05:15:39.2368849Z [ OK ] OpMaskedFillTest.ByteTensors (0 ms) 2024-06-26T05:15:39.2369358Z [ RUN ] OpMaskedFillTest.CharTensors 2024-06-26T05:15:39.2369620Z [ OK ] OpMaskedFillTest.CharTensors (0 ms) 2024-06-26T05:15:39.2369867Z [ RUN ] OpMaskedFillTest.ShortTensors 2024-06-26T05:15:39.2370121Z [ OK ] OpMaskedFillTest.ShortTensors (0 ms) 2024-06-26T05:15:39.2370358Z [ RUN ] OpMaskedFillTest.IntTensors 2024-06-26T05:15:39.2370607Z [ OK ] OpMaskedFillTest.IntTensors (0 ms) 2024-06-26T05:15:39.2370834Z [ RUN ] OpMaskedFillTest.LongTensors 2024-06-26T05:15:39.2371099Z [ OK ] OpMaskedFillTest.LongTensors (0 ms) 2024-06-26T05:15:39.2371397Z [ RUN ] OpMaskedFillTest.IntTensorFloatAlphaDies 2024-06-26T05:15:39.2371727Z [ OK ] OpMaskedFillTest.IntTensorFloatAlphaDies (0 ms) 2024-06-26T05:15:39.2371974Z [ RUN ] OpMaskedFillTest.FloatTensors 2024-06-26T05:15:39.2372234Z [ OK ] OpMaskedFillTest.FloatTensors (0 ms) 2024-06-26T05:15:39.2372471Z [ RUN ] OpMaskedFillTest.DoubleTensors 2024-06-26T05:15:39.2372866Z [ OK ] OpMaskedFillTest.DoubleTensors (0 ms) 2024-06-26T05:15:39.2373246Z [ RUN ] OpMaskedFillTest.BoolTensors 2024-06-26T05:15:39.2373671Z [ OK ] OpMaskedFillTest.BoolTensors (0 ms) 2024-06-26T05:15:39.2374267Z [ RUN ] OpMaskedFillTest.MismatchedInputAndValueDtypesDies 2024-06-26T05:15:39.2375081Z [ OK ] OpMaskedFillTest.MismatchedInputAndValueDtypesDies (0 ms) 2024-06-26T05:15:39.2375620Z [ RUN ] OpMaskedFillTest.MismatchedOutputDtypeDies 2024-06-26T05:15:39.2376210Z [ OK ] OpMaskedFillTest.MismatchedOutputDtypeDies (0 ms) 2024-06-26T05:15:39.2376724Z [ RUN ] OpMaskedFillTest.MismatchedMaskDtypeDies 2024-06-26T05:15:39.2377400Z [ OK ] OpMaskedFillTest.MismatchedMaskDtypeDies (0 ms) 2024-06-26T05:15:39.2377969Z [ RUN ] OpMaskedFillTest.MismatchedInputShapesDies 2024-06-26T05:15:39.2378609Z [ OK ] OpMaskedFillTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.2379080Z [ RUN ] OpMaskedFillTest.BroadcastTest 2024-06-26T05:15:39.2379591Z [ OK ] OpMaskedFillTest.BroadcastTest (0 ms) 2024-06-26T05:15:39.2380058Z [ RUN ] OpMaskedFillTest.MismatchedOutputShapesDies 2024-06-26T05:15:39.2380410Z [ OK ] OpMaskedFillTest.MismatchedOutputShapesDies (0 ms) 2024-06-26T05:15:39.2380716Z [ RUN ] OpMaskedFillTest.BroadcastDimSizeIsOneAB 2024-06-26T05:15:39.2381181Z [ OK ] OpMaskedFillTest.BroadcastDimSizeIsOneAB (0 ms) 2024-06-26T05:15:39.2381616Z [ RUN ] OpMaskedFillTest.BroadcastDimSizeMissingAB 2024-06-26T05:15:39.2382155Z [ OK ] OpMaskedFillTest.BroadcastDimSizeMissingAB (0 ms) 2024-06-26T05:15:39.2382832Z [ RUN ] OpMaskedFillTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2383596Z [ OK ] OpMaskedFillTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2384380Z [ RUN ] OpMaskedFillTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2384860Z [ OK ] OpMaskedFillTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2385139Z [ RUN ] OpMaskedFillTest.DynamicShapeUnbound 2024-06-26T05:15:39.2385394Z /executorch/kernels/test/op_masked_fill_test.cpp:378: Skipped 2024-06-26T05:15:39.2385531Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2385858Z [ SKIPPED ] OpMaskedFillTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2386173Z [ RUN ] OpMaskedFillTest.BroadcastDimSizeIsOneBA 2024-06-26T05:15:39.2386506Z [ OK ] OpMaskedFillTest.BroadcastDimSizeIsOneBA (0 ms) 2024-06-26T05:15:39.2386818Z [ RUN ] OpMaskedFillTest.BroadcastDimSizeMissingBA 2024-06-26T05:15:39.2387401Z [ OK ] OpMaskedFillTest.BroadcastDimSizeMissingBA (0 ms) 2024-06-26T05:15:39.2387796Z [----------] 22 tests from OpMaskedFillTest (0 ms total) 2024-06-26T05:15:39.2387812Z 2024-06-26T05:15:39.2388039Z [----------] 7 tests from OpMaxOutTest 2024-06-26T05:15:39.2388320Z [ RUN ] OpMaxOutTest.MismatchedDimensionsDies 2024-06-26T05:15:39.2388628Z [ OK ] OpMaxOutTest.MismatchedDimensionsDies (0 ms) 2024-06-26T05:15:39.2388898Z [ RUN ] OpMaxOutTest.MismatchedDTypesDies 2024-06-26T05:15:39.2389238Z [ OK ] OpMaxOutTest.MismatchedDTypesDies (0 ms) 2024-06-26T05:15:39.2389673Z [ RUN ] OpMaxOutTest.AllRealInputLongOutputPasses 2024-06-26T05:15:39.2390235Z [ OK ] OpMaxOutTest.AllRealInputLongOutputPasses (0 ms) 2024-06-26T05:15:39.2390631Z [ RUN ] OpMaxOutTest.InfinityAndNANTest 2024-06-26T05:15:39.2391087Z [ OK ] OpMaxOutTest.InfinityAndNANTest (0 ms) 2024-06-26T05:15:39.2391699Z [ RUN ] OpMaxOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2392448Z [ OK ] OpMaxOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2393189Z [ RUN ] OpMaxOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2394043Z [ OK ] OpMaxOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2394469Z [ RUN ] OpMaxOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2394850Z /executorch/kernels/test/op_max_test.cpp:338: Skipped 2024-06-26T05:15:39.2395168Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2395715Z [ SKIPPED ] OpMaxOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2396199Z [----------] 7 tests from OpMaxOutTest (0 ms total) 2024-06-26T05:15:39.2396209Z 2024-06-26T05:15:39.2396745Z [----------] 3 tests from OpMaxPool2DWithIndicesOutTest 2024-06-26T05:15:39.2397406Z [ RUN ] OpMaxPool2DWithIndicesOutTest.SanityTest4D 2024-06-26T05:15:39.2398150Z [ OK ] OpMaxPool2DWithIndicesOutTest.SanityTest4D (0 ms) 2024-06-26T05:15:39.2398531Z [ RUN ] OpMaxPool2DWithIndicesOutTest.SanityTest4D_2 2024-06-26T05:15:39.2398955Z [ OK ] OpMaxPool2DWithIndicesOutTest.SanityTest4D_2 (0 ms) 2024-06-26T05:15:39.2399324Z [ RUN ] OpMaxPool2DWithIndicesOutTest.SanityTest3D 2024-06-26T05:15:39.2399811Z [ OK ] OpMaxPool2DWithIndicesOutTest.SanityTest3D (0 ms) 2024-06-26T05:15:39.2400346Z [----------] 3 tests from OpMaxPool2DWithIndicesOutTest (0 ms total) 2024-06-26T05:15:39.2400356Z 2024-06-26T05:15:39.2400684Z [----------] 1 test from OpMaximumOutTest 2024-06-26T05:15:39.2401037Z [ RUN ] OpMaximumOutTest.SmokeTest 2024-06-26T05:15:39.2401464Z [ OK ] OpMaximumOutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2401908Z [----------] 1 test from OpMaximumOutTest (0 ms total) 2024-06-26T05:15:39.2401916Z 2024-06-26T05:15:39.2402286Z [----------] 10 tests from OpMeanOutTest 2024-06-26T05:15:39.2402842Z [ RUN ] OpMeanOutTest.InvalidDimensionListDies 2024-06-26T05:15:39.2403355Z [ OK ] OpMeanOutTest.InvalidDimensionListDies (0 ms) 2024-06-26T05:15:39.2403826Z [ RUN ] OpMeanOutTest.InvalidShapeDies 2024-06-26T05:15:39.2405503Z [ OK ] OpMeanOutTest.InvalidShapeDies (0 ms) 2024-06-26T05:15:39.2405951Z [ RUN ] OpMeanOutTest.MismatchedDTypesDies 2024-06-26T05:15:39.2406516Z [ OK ] OpMeanOutTest.MismatchedDTypesDies (0 ms) 2024-06-26T05:15:39.2407137Z [ RUN ] OpMeanOutTest.AllRealInputFloatOutputPasses 2024-06-26T05:15:39.2407818Z [ OK ] OpMeanOutTest.AllRealInputFloatOutputPasses (1 ms) 2024-06-26T05:15:39.2408220Z [ RUN ] OpMeanOutTest.HalfSupport 2024-06-26T05:15:39.2408622Z [ OK ] OpMeanOutTest.HalfSupport (0 ms) 2024-06-26T05:15:39.2409201Z [ RUN ] OpMeanOutTest.InfinityAndNANTest 2024-06-26T05:15:39.2409738Z [ OK ] OpMeanOutTest.InfinityAndNANTest (0 ms) 2024-06-26T05:15:39.2410241Z [ RUN ] OpMeanOutTest.SimpleGeneratedCase 2024-06-26T05:15:39.2410790Z [ OK ] OpMeanOutTest.SimpleGeneratedCase (0 ms) 2024-06-26T05:15:39.2411447Z [ RUN ] OpMeanOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2412240Z [ OK ] OpMeanOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2413023Z [ RUN ] OpMeanOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2413828Z [ OK ] OpMeanOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2414327Z [ RUN ] OpMeanOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2414718Z /executorch/kernels/test/op_mean_test.cpp:449: Skipped 2024-06-26T05:15:39.2414981Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2415590Z [ SKIPPED ] OpMeanOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2416043Z [----------] 10 tests from OpMeanOutTest (2 ms total) 2024-06-26T05:15:39.2416056Z 2024-06-26T05:15:39.2416415Z [----------] 7 tests from OpMinOutTest 2024-06-26T05:15:39.2416984Z [ RUN ] OpMinOutTest.MismatchedDimensionsDies 2024-06-26T05:15:39.2417515Z [ OK ] OpMinOutTest.MismatchedDimensionsDies (0 ms) 2024-06-26T05:15:39.2418015Z [ RUN ] OpMinOutTest.MismatchedDTypesDies 2024-06-26T05:15:39.2418660Z [ OK ] OpMinOutTest.MismatchedDTypesDies (0 ms) 2024-06-26T05:15:39.2419261Z [ RUN ] OpMinOutTest.AllRealInputLongOutputPasses 2024-06-26T05:15:39.2419920Z [ OK ] OpMinOutTest.AllRealInputLongOutputPasses (0 ms) 2024-06-26T05:15:39.2420352Z [ RUN ] OpMinOutTest.InfinityAndNANTest 2024-06-26T05:15:39.2420950Z [ OK ] OpMinOutTest.InfinityAndNANTest (0 ms) 2024-06-26T05:15:39.2421663Z [ RUN ] OpMinOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2422449Z [ OK ] OpMinOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2423087Z [ RUN ] OpMinOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2423871Z [ OK ] OpMinOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2424315Z [ RUN ] OpMinOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2424630Z /executorch/kernels/test/op_min_test.cpp:312: Skipped 2024-06-26T05:15:39.2424871Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2425456Z [ SKIPPED ] OpMinOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2425836Z [----------] 7 tests from OpMinOutTest (0 ms total) 2024-06-26T05:15:39.2425854Z 2024-06-26T05:15:39.2426079Z [----------] 16 tests from OpMinimumOutTest 2024-06-26T05:15:39.2426310Z [ RUN ] OpMinimumOutTest.ByteTensors 2024-06-26T05:15:39.2426578Z [ OK ] OpMinimumOutTest.ByteTensors (0 ms) 2024-06-26T05:15:39.2426876Z [ RUN ] OpMinimumOutTest.CharTensors 2024-06-26T05:15:39.2427128Z [ OK ] OpMinimumOutTest.CharTensors (0 ms) 2024-06-26T05:15:39.2427376Z [ RUN ] OpMinimumOutTest.ShortTensors 2024-06-26T05:15:39.2427634Z [ OK ] OpMinimumOutTest.ShortTensors (0 ms) 2024-06-26T05:15:39.2427855Z [ RUN ] OpMinimumOutTest.IntTensors 2024-06-26T05:15:39.2428115Z [ OK ] OpMinimumOutTest.IntTensors (0 ms) 2024-06-26T05:15:39.2428346Z [ RUN ] OpMinimumOutTest.LongTensors 2024-06-26T05:15:39.2428602Z [ OK ] OpMinimumOutTest.LongTensors (0 ms) 2024-06-26T05:15:39.2428839Z [ RUN ] OpMinimumOutTest.HalfTensors 2024-06-26T05:15:39.2429094Z [ OK ] OpMinimumOutTest.HalfTensors (0 ms) 2024-06-26T05:15:39.2429343Z [ RUN ] OpMinimumOutTest.FloatTensors 2024-06-26T05:15:39.2429639Z [ OK ] OpMinimumOutTest.FloatTensors (0 ms) 2024-06-26T05:15:39.2429881Z [ RUN ] OpMinimumOutTest.DoubleTensors 2024-06-26T05:15:39.2430161Z [ OK ] OpMinimumOutTest.DoubleTensors (0 ms) 2024-06-26T05:15:39.2430423Z [ RUN ] OpMinimumOutTest.BothScalarTensors 2024-06-26T05:15:39.2430712Z [ OK ] OpMinimumOutTest.BothScalarTensors (0 ms) 2024-06-26T05:15:39.2430980Z [ RUN ] OpMinimumOutTest.LeftScalarTensor 2024-06-26T05:15:39.2431263Z [ OK ] OpMinimumOutTest.LeftScalarTensor (0 ms) 2024-06-26T05:15:39.2431577Z [ RUN ] OpMinimumOutTest.MismatchedInputShapesDies 2024-06-26T05:15:39.2431930Z [ OK ] OpMinimumOutTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.2432246Z [ RUN ] OpMinimumOutTest.MismatchedOutputShapesDies 2024-06-26T05:15:39.2432608Z [ OK ] OpMinimumOutTest.MismatchedOutputShapesDies (0 ms) 2024-06-26T05:15:39.2433017Z [ RUN ] OpMinimumOutTest.MismatchedOutputShapeWithSingletonDies 2024-06-26T05:15:39.2433464Z [ OK ] OpMinimumOutTest.MismatchedOutputShapeWithSingletonDies (0 ms) 2024-06-26T05:15:39.2433860Z [ RUN ] OpMinimumOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2434294Z [ OK ] OpMinimumOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2434708Z [ RUN ] OpMinimumOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2434971Z /executorch/kernels/test/op_minimum_test.cpp:190: Skipped 2024-06-26T05:15:39.2435094Z Dynamic shape not supported 2024-06-26T05:15:39.2435587Z [ SKIPPED ] OpMinimumOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2435876Z [ RUN ] OpMinimumOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2436092Z /executorch/kernels/test/op_minimum_test.cpp:231: Skipped 2024-06-26T05:15:39.2436262Z Dynamic shape not supported 2024-06-26T05:15:39.2436594Z [ SKIPPED ] OpMinimumOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2436871Z [----------] 16 tests from OpMinimumOutTest (0 ms total) 2024-06-26T05:15:39.2436878Z 2024-06-26T05:15:39.2437095Z [----------] 10 tests from OpMmOutTest 2024-06-26T05:15:39.2437288Z [ RUN ] OpMmOutTest.OutputDim 2024-06-26T05:15:39.2437510Z [ OK ] OpMmOutTest.OutputDim (0 ms) 2024-06-26T05:15:39.2437761Z [ RUN ] OpMmOutTest.AllDtypesSupported 2024-06-26T05:15:39.2438168Z [ OK ] OpMmOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.2438509Z [ RUN ] OpMmOutTest.EmptyInputWithEmptyOutTensorPasses 2024-06-26T05:15:39.2438896Z [ OK ] OpMmOutTest.EmptyInputWithEmptyOutTensorPasses (0 ms) 2024-06-26T05:15:39.2439146Z [ RUN ] OpMmOutTest.InfinityTensorPasses 2024-06-26T05:15:39.2439441Z [ OK ] OpMmOutTest.InfinityTensorPasses (0 ms) 2024-06-26T05:15:39.2439715Z [ RUN ] OpMmOutTest.MismatchedDimensionsDies 2024-06-26T05:15:39.2440071Z [ OK ] OpMmOutTest.MismatchedDimensionsDies (0 ms) 2024-06-26T05:15:39.2440371Z [ RUN ] OpMmOutTest.MismatchedDimensionSizeDies 2024-06-26T05:15:39.2440693Z [ OK ] OpMmOutTest.MismatchedDimensionSizeDies (0 ms) 2024-06-26T05:15:39.2440929Z [ RUN ] OpMmOutTest.WrongOutShapeDies 2024-06-26T05:15:39.2441201Z [ OK ] OpMmOutTest.WrongOutShapeDies (0 ms) 2024-06-26T05:15:39.2441555Z [ RUN ] OpMmOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2441946Z [ OK ] OpMmOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2442337Z [ RUN ] OpMmOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2442760Z [ OK ] OpMmOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2443024Z [ RUN ] OpMmOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2443286Z /executorch/kernels/test/op_mm_test.cpp:259: Skipped 2024-06-26T05:15:39.2443411Z Dynamic shape not supported 2024-06-26T05:15:39.2443723Z [ SKIPPED ] OpMmOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2443975Z [----------] 10 tests from OpMmOutTest (0 ms total) 2024-06-26T05:15:39.2443981Z 2024-06-26T05:15:39.2444181Z [----------] 17 tests from OpMulOutTest 2024-06-26T05:15:39.2444465Z [ RUN ] OpMulOutTest.AllRealDtypesSupported 2024-06-26T05:15:39.2444764Z [ OK ] OpMulOutTest.AllRealDtypesSupported (8 ms) 2024-06-26T05:15:39.2444973Z [ RUN ] OpMulOutTest.FloatTensors 2024-06-26T05:15:39.2445228Z [ OK ] OpMulOutTest.FloatTensors (0 ms) 2024-06-26T05:15:39.2445446Z [ RUN ] OpMulOutTest.DoubleTensors 2024-06-26T05:15:39.2445706Z [ OK ] OpMulOutTest.DoubleTensors (0 ms) 2024-06-26T05:15:39.2445914Z [ RUN ] OpMulOutTest.BoolTensors 2024-06-26T05:15:39.2446150Z [ OK ] OpMulOutTest.BoolTensors (0 ms) 2024-06-26T05:15:39.2446450Z [ RUN ] OpMulOutTest.MismatchedInputShapesDies 2024-06-26T05:15:39.2446764Z [ OK ] OpMulOutTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.2446998Z [ RUN ] OpMulOutTest.BroadcastA2BTest 2024-06-26T05:15:39.2447270Z [ OK ] OpMulOutTest.BroadcastA2BTest (0 ms) 2024-06-26T05:15:39.2447507Z [ RUN ] OpMulOutTest.BroadcastB2ATest 2024-06-26T05:15:39.2447803Z [ OK ] OpMulOutTest.BroadcastB2ATest (0 ms) 2024-06-26T05:15:39.2448056Z [ RUN ] OpMulOutTest.BroadcastAB2CTest 2024-06-26T05:15:39.2448321Z [ OK ] OpMulOutTest.BroadcastAB2CTest (0 ms) 2024-06-26T05:15:39.2448597Z [ RUN ] OpMulOutTest.ScalarInputBroadcastTest 2024-06-26T05:15:39.2448917Z [ OK ] OpMulOutTest.ScalarInputBroadcastTest (0 ms) 2024-06-26T05:15:39.2449254Z [ RUN ] OpMulOutTest.MismatchedOutputShapesDies 2024-06-26T05:15:39.2449590Z [ OK ] OpMulOutTest.MismatchedOutputShapesDies (0 ms) 2024-06-26T05:15:39.2449865Z [ RUN ] OpMulOutTest.BroadcastDimSizeIsOneAB 2024-06-26T05:15:39.2450164Z [ OK ] OpMulOutTest.BroadcastDimSizeIsOneAB (0 ms) 2024-06-26T05:15:39.2450460Z [ RUN ] OpMulOutTest.BroadcastDimSizeMissingAB 2024-06-26T05:15:39.2450775Z [ OK ] OpMulOutTest.BroadcastDimSizeMissingAB (0 ms) 2024-06-26T05:15:39.2451051Z [ RUN ] OpMulOutTest.BroadcastDimSizeIsOneBA 2024-06-26T05:15:39.2451360Z [ OK ] OpMulOutTest.BroadcastDimSizeIsOneBA (0 ms) 2024-06-26T05:15:39.2451644Z [ RUN ] OpMulOutTest.BroadcastDimSizeMissingBA 2024-06-26T05:15:39.2451954Z [ OK ] OpMulOutTest.BroadcastDimSizeMissingBA (0 ms) 2024-06-26T05:15:39.2452329Z [ RUN ] OpMulOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2452731Z [ OK ] OpMulOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2453168Z [ RUN ] OpMulOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2453597Z [ OK ] OpMulOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2453847Z [ RUN ] OpMulOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2454053Z /executorch/kernels/test/op_mul_test.cpp:446: Skipped 2024-06-26T05:15:39.2454175Z Dynamic shape not supported 2024-06-26T05:15:39.2454474Z [ SKIPPED ] OpMulOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2454742Z [----------] 17 tests from OpMulOutTest (9 ms total) 2024-06-26T05:15:39.2454747Z 2024-06-26T05:15:39.2454975Z [----------] 2 tests from OpMulScalarOutTest 2024-06-26T05:15:39.2455214Z [ RUN ] OpMulScalarOutTest.SanityCheck 2024-06-26T05:15:39.2455496Z [ OK ] OpMulScalarOutTest.SanityCheck (0 ms) 2024-06-26T05:15:39.2455816Z [ RUN ] OpMulScalarOutTest.OptimizedSanityCheck 2024-06-26T05:15:39.2456158Z [ OK ] OpMulScalarOutTest.OptimizedSanityCheck (0 ms) 2024-06-26T05:15:39.2456446Z [----------] 2 tests from OpMulScalarOutTest (0 ms total) 2024-06-26T05:15:39.2456452Z 2024-06-26T05:15:39.2456636Z [----------] 7 tests from OpPowTest 2024-06-26T05:15:39.2456908Z [ RUN ] OpPowTest.TensorTensorSanityCheck 2024-06-26T05:15:39.2457191Z [ OK ] OpPowTest.TensorTensorSanityCheck (0 ms) 2024-06-26T05:15:39.2457455Z [ RUN ] OpPowTest.TensorTensorSanityCheck2 2024-06-26T05:15:39.2457758Z [ OK ] OpPowTest.TensorTensorSanityCheck2 (0 ms) 2024-06-26T05:15:39.2458015Z [ RUN ] OpPowTest.TensorTensorHalfSupport 2024-06-26T05:15:39.2458296Z [ OK ] OpPowTest.TensorTensorHalfSupport (0 ms) 2024-06-26T05:15:39.2458563Z [ RUN ] OpPowTest.TensorScalarSanityCheck 2024-06-26T05:15:39.2458847Z [ OK ] OpPowTest.TensorScalarSanityCheck (0 ms) 2024-06-26T05:15:39.2459115Z [ RUN ] OpPowTest.TensorScalarHalfSupport 2024-06-26T05:15:39.2459404Z [ OK ] OpPowTest.TensorScalarHalfSupport (0 ms) 2024-06-26T05:15:39.2459625Z [ RUN ] OpPowTest.ScalarSanityCheck 2024-06-26T05:15:39.2459976Z [ OK ] OpPowTest.ScalarSanityCheck (0 ms) 2024-06-26T05:15:39.2460198Z [ RUN ] OpPowTest.ScalarHalfSupport 2024-06-26T05:15:39.2460445Z [ OK ] OpPowTest.ScalarHalfSupport (0 ms) 2024-06-26T05:15:39.2460733Z [----------] 7 tests from OpPowTest (0 ms total) 2024-06-26T05:15:39.2460739Z 2024-06-26T05:15:39.2461088Z [----------] 6 tests from OpNativeBatchNormLegitNoTrainingOutTest 2024-06-26T05:15:39.2461536Z [ RUN ] OpNativeBatchNormLegitNoTrainingOutTest.SampleAtomicTest2D 2024-06-26T05:15:39.2462043Z [ OK ] OpNativeBatchNormLegitNoTrainingOutTest.SampleAtomicTest2D (0 ms) 2024-06-26T05:15:39.2462475Z [ RUN ] OpNativeBatchNormLegitNoTrainingOutTest.SampleAtomicTest3D 2024-06-26T05:15:39.2462962Z [ OK ] OpNativeBatchNormLegitNoTrainingOutTest.SampleAtomicTest3D (0 ms) 2024-06-26T05:15:39.2463389Z [ RUN ] OpNativeBatchNormLegitNoTrainingOutTest.SampleAtomicTest4D 2024-06-26T05:15:39.2463860Z [ OK ] OpNativeBatchNormLegitNoTrainingOutTest.SampleAtomicTest4D (0 ms) 2024-06-26T05:15:39.2464337Z [ RUN ] OpNativeBatchNormLegitNoTrainingOutTest.SampleAtomicTestDouble 2024-06-26T05:15:39.2464842Z [ OK ] OpNativeBatchNormLegitNoTrainingOutTest.SampleAtomicTestDouble (0 ms) 2024-06-26T05:15:39.2465325Z [ RUN ] OpNativeBatchNormLegitNoTrainingOutTest.SampleAtomicTestNoWeight 2024-06-26T05:15:39.2465866Z [ OK ] OpNativeBatchNormLegitNoTrainingOutTest.SampleAtomicTestNoWeight (0 ms) 2024-06-26T05:15:39.2466400Z [ RUN ] OpNativeBatchNormLegitNoTrainingOutTest.SampleAtomicTestNoWeightNoBias 2024-06-26T05:15:39.2466994Z [ OK ] OpNativeBatchNormLegitNoTrainingOutTest.SampleAtomicTestNoWeightNoBias (0 ms) 2024-06-26T05:15:39.2467457Z [----------] 6 tests from OpNativeBatchNormLegitNoTrainingOutTest (0 ms total) 2024-06-26T05:15:39.2467462Z 2024-06-26T05:15:39.2467742Z [----------] 1 test from OpNativeBatchNormLegitOutTest 2024-06-26T05:15:39.2468116Z [ RUN ] OpNativeBatchNormLegitOutTest.SampleAtomicTest2D 2024-06-26T05:15:39.2468509Z [ OK ] OpNativeBatchNormLegitOutTest.SampleAtomicTest2D (0 ms) 2024-06-26T05:15:39.2468862Z [----------] 1 test from OpNativeBatchNormLegitOutTest (0 ms total) 2024-06-26T05:15:39.2468869Z 2024-06-26T05:15:39.2469121Z [----------] 1 test from OpNativeGroupNormOutTest 2024-06-26T05:15:39.2469388Z [ RUN ] OpNativeGroupNormOutTest.SmokeTest 2024-06-26T05:15:39.2469696Z [ OK ] OpNativeGroupNormOutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2470033Z [----------] 1 test from OpNativeGroupNormOutTest (0 ms total) 2024-06-26T05:15:39.2470042Z 2024-06-26T05:15:39.2470285Z [----------] 6 tests from OpNativeLayerNormTest 2024-06-26T05:15:39.2470559Z [ RUN ] OpNativeLayerNormTest.FloatTensors 2024-06-26T05:15:39.2470850Z [ OK ] OpNativeLayerNormTest.FloatTensors (0 ms) 2024-06-26T05:15:39.2471125Z [ RUN ] OpNativeLayerNormTest.IntTensorsDies 2024-06-26T05:15:39.2471443Z [ OK ] OpNativeLayerNormTest.IntTensorsDies (0 ms) 2024-06-26T05:15:39.2471751Z [ RUN ] OpNativeLayerNormTest.WrongNomalizedShape 2024-06-26T05:15:39.2472099Z [ OK ] OpNativeLayerNormTest.WrongNomalizedShape (0 ms) 2024-06-26T05:15:39.2472527Z [ RUN ] OpNativeLayerNormTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2473003Z [ OK ] OpNativeLayerNormTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2473481Z [ RUN ] OpNativeLayerNormTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2473991Z [ OK ] OpNativeLayerNormTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2474302Z [ RUN ] OpNativeLayerNormTest.DynamicShapeUnbound 2024-06-26T05:15:39.2474590Z /executorch/kernels/test/op_native_layer_norm_test.cpp:420: Skipped 2024-06-26T05:15:39.2474724Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2475104Z [ SKIPPED ] OpNativeLayerNormTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2475445Z [----------] 6 tests from OpNativeLayerNormTest (0 ms total) 2024-06-26T05:15:39.2475451Z 2024-06-26T05:15:39.2475677Z [----------] 7 tests from OpNeScalarOutTest 2024-06-26T05:15:39.2476040Z [ RUN ] OpNeScalarOutTest.AllRealInputBoolOutputSupport 2024-06-26T05:15:39.2476425Z [ OK ] OpNeScalarOutTest.AllRealInputBoolOutputSupport (0 ms) 2024-06-26T05:15:39.2476712Z [ RUN ] OpNeScalarOutTest.BoolInputDtype 2024-06-26T05:15:39.2477008Z [ OK ] OpNeScalarOutTest.BoolInputDtype (0 ms) 2024-06-26T05:15:39.2477295Z [ RUN ] OpNeScalarOutTest.MismatchedShapesDies 2024-06-26T05:15:39.2477610Z [ OK ] OpNeScalarOutTest.MismatchedShapesDies (0 ms) 2024-06-26T05:15:39.2478071Z [ RUN ] OpNeScalarOutTest.AllRealOutputDTypesSupported 2024-06-26T05:15:39.2478446Z [ OK ] OpNeScalarOutTest.AllRealOutputDTypesSupported (0 ms) 2024-06-26T05:15:39.2478858Z [ RUN ] OpNeScalarOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2479303Z [ OK ] OpNeScalarOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2479730Z [ RUN ] OpNeScalarOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2480215Z [ OK ] OpNeScalarOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2480499Z [ RUN ] OpNeScalarOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2480742Z /executorch/kernels/test/op_ne_test.cpp:184: Skipped 2024-06-26T05:15:39.2480890Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2481224Z [ SKIPPED ] OpNeScalarOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2481498Z [----------] 7 tests from OpNeScalarOutTest (0 ms total) 2024-06-26T05:15:39.2481518Z 2024-06-26T05:15:39.2481692Z [----------] 1 test from OpNeTest 2024-06-26T05:15:39.2481919Z [ RUN ] OpNeTest.AllDtypesSupported 2024-06-26T05:15:39.2482183Z [ OK ] OpNeTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.2482414Z [----------] 1 test from OpNeTest (0 ms total) 2024-06-26T05:15:39.2482419Z 2024-06-26T05:15:39.2482598Z [----------] 1 test from OpNegTest 2024-06-26T05:15:39.2482804Z [ RUN ] OpNegTest.SanityCheck 2024-06-26T05:15:39.2483027Z [ OK ] OpNegTest.SanityCheck (0 ms) 2024-06-26T05:15:39.2483295Z [----------] 1 test from OpNegTest (0 ms total) 2024-06-26T05:15:39.2483304Z 2024-06-26T05:15:39.2483520Z [----------] 4 tests from OpNonzeroTest 2024-06-26T05:15:39.2483773Z [ RUN ] OpNonzeroTest.AllDtypesSupported 2024-06-26T05:15:39.2484068Z [ OK ] OpNonzeroTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.2484377Z [ RUN ] OpNonzeroTest.StaticShapeInconsistentSize 2024-06-26T05:15:39.2484713Z [ OK ] OpNonzeroTest.StaticShapeInconsistentSize (0 ms) 2024-06-26T05:15:39.2484946Z [ RUN ] OpNonzeroTest.DynamicShape 2024-06-26T05:15:39.2485194Z [ OK ] OpNonzeroTest.DynamicShape (0 ms) 2024-06-26T05:15:39.2485519Z [ RUN ] OpNonzeroTest.DynamicShapeInsufficientBuffer 2024-06-26T05:15:39.2485887Z [ OK ] OpNonzeroTest.DynamicShapeInsufficientBuffer (0 ms) 2024-06-26T05:15:39.2486147Z [----------] 4 tests from OpNonzeroTest (0 ms total) 2024-06-26T05:15:39.2486153Z 2024-06-26T05:15:39.2486356Z [----------] 8 tests from OpOnesOutTest 2024-06-26T05:15:39.2486589Z [ RUN ] OpOnesOutTest.ByteTensors 2024-06-26T05:15:39.2486831Z [ OK ] OpOnesOutTest.ByteTensors (0 ms) 2024-06-26T05:15:39.2487051Z [ RUN ] OpOnesOutTest.CharTensors 2024-06-26T05:15:39.2487292Z [ OK ] OpOnesOutTest.CharTensors (0 ms) 2024-06-26T05:15:39.2487509Z [ RUN ] OpOnesOutTest.ShortTensors 2024-06-26T05:15:39.2487801Z [ OK ] OpOnesOutTest.ShortTensors (0 ms) 2024-06-26T05:15:39.2488008Z [ RUN ] OpOnesOutTest.IntTensors 2024-06-26T05:15:39.2488244Z [ OK ] OpOnesOutTest.IntTensors (0 ms) 2024-06-26T05:15:39.2488465Z [ RUN ] OpOnesOutTest.LongTensors 2024-06-26T05:15:39.2488705Z [ OK ] OpOnesOutTest.LongTensors (0 ms) 2024-06-26T05:15:39.2488958Z [ RUN ] OpOnesOutTest.FloatTensors 2024-06-26T05:15:39.2489216Z [ OK ] OpOnesOutTest.FloatTensors (0 ms) 2024-06-26T05:15:39.2489437Z [ RUN ] OpOnesOutTest.DoubleTensors 2024-06-26T05:15:39.2489688Z [ OK ] OpOnesOutTest.DoubleTensors (0 ms) 2024-06-26T05:15:39.2489912Z [ RUN ] OpOnesOutTest.BoolTensors 2024-06-26T05:15:39.2490151Z [ OK ] OpOnesOutTest.BoolTensors (0 ms) 2024-06-26T05:15:39.2490420Z [----------] 8 tests from OpOnesOutTest (0 ms total) 2024-06-26T05:15:39.2490425Z 2024-06-26T05:15:39.2490666Z [----------] 1 test from OpPdistForwardOutTest 2024-06-26T05:15:39.2490912Z [ RUN ] OpPdistForwardOutTest.SmokeTest 2024-06-26T05:15:39.2491203Z [ OK ] OpPdistForwardOutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2491498Z [----------] 1 test from OpPdistForwardOutTest (0 ms total) 2024-06-26T05:15:39.2491503Z 2024-06-26T05:15:39.2491731Z [----------] 15 tests from OpPermuteCopyTest 2024-06-26T05:15:39.2491980Z [ RUN ] OpPermuteCopyTest.OneDPermute 2024-06-26T05:15:39.2492242Z [ OK ] OpPermuteCopyTest.OneDPermute (0 ms) 2024-06-26T05:15:39.2492610Z [ RUN ] OpPermuteCopyTest.PermuteWithNoDataReorder 2024-06-26T05:15:39.2492958Z [ OK ] OpPermuteCopyTest.PermuteWithNoDataReorder (0 ms) 2024-06-26T05:15:39.2493192Z [ RUN ] OpPermuteCopyTest.TwoDPermute 2024-06-26T05:15:39.2493469Z [ OK ] OpPermuteCopyTest.TwoDPermute (0 ms) 2024-06-26T05:15:39.2493716Z [ RUN ] OpPermuteCopyTest.ThreeDPermute 2024-06-26T05:15:39.2493992Z [ OK ] OpPermuteCopyTest.ThreeDPermute (0 ms) 2024-06-26T05:15:39.2494251Z [ RUN ] OpPermuteCopyTest.FourDPermute 2024-06-26T05:15:39.2494520Z [ OK ] OpPermuteCopyTest.FourDPermute (0 ms) 2024-06-26T05:15:39.2494756Z [ RUN ] OpPermuteCopyTest.FiveDPermute 2024-06-26T05:15:39.2495035Z [ OK ] OpPermuteCopyTest.FiveDPermute (0 ms) 2024-06-26T05:15:39.2495352Z [ RUN ] OpPermuteCopyTest.AllDimensionsSizeOne 2024-06-26T05:15:39.2495685Z [ OK ] OpPermuteCopyTest.AllDimensionsSizeOne (0 ms) 2024-06-26T05:15:39.2495951Z [ RUN ] OpPermuteCopyTest.DupeDimensionPos 2024-06-26T05:15:39.2496240Z [ OK ] OpPermuteCopyTest.DupeDimensionPos (0 ms) 2024-06-26T05:15:39.2496524Z [ RUN ] OpPermuteCopyTest.DupeDimensionPos2 2024-06-26T05:15:39.2496821Z [ OK ] OpPermuteCopyTest.DupeDimensionPos2 (0 ms) 2024-06-26T05:15:39.2497087Z [ RUN ] OpPermuteCopyTest.DupeDimensionNeg 2024-06-26T05:15:39.2497391Z [ OK ] OpPermuteCopyTest.DupeDimensionNeg (0 ms) 2024-06-26T05:15:39.2497662Z [ RUN ] OpPermuteCopyTest.DupeDimensionNeg2 2024-06-26T05:15:39.2497957Z [ OK ] OpPermuteCopyTest.DupeDimensionNeg2 (0 ms) 2024-06-26T05:15:39.2498210Z [ RUN ] OpPermuteCopyTest.MismatchDim 2024-06-26T05:15:39.2498472Z [ OK ] OpPermuteCopyTest.MismatchDim (0 ms) 2024-06-26T05:15:39.2498869Z [ RUN ] OpPermuteCopyTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2499322Z [ OK ] OpPermuteCopyTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2499821Z [ RUN ] OpPermuteCopyTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2500314Z [ OK ] OpPermuteCopyTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2500645Z [ RUN ] OpPermuteCopyTest.DynamicShapeUnbound 2024-06-26T05:15:39.2500894Z /executorch/kernels/test/op_permute_copy_test.cpp:456: Skipped 2024-06-26T05:15:39.2501042Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2501376Z [ SKIPPED ] OpPermuteCopyTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2501660Z [----------] 15 tests from OpPermuteCopyTest (0 ms total) 2024-06-26T05:15:39.2501699Z 2024-06-26T05:15:39.2501957Z [----------] 6 tests from OpPixelShuffleOutTest 2024-06-26T05:15:39.2502283Z [ RUN ] OpPixelShuffleOutTest.AllRealDtypesSupported 2024-06-26T05:15:39.2502661Z [ OK ] OpPixelShuffleOutTest.AllRealDtypesSupported (0 ms) 2024-06-26T05:15:39.2502942Z [ RUN ] OpPixelShuffleOutTest.LargerInputRank 2024-06-26T05:15:39.2503251Z [ OK ] OpPixelShuffleOutTest.LargerInputRank (0 ms) 2024-06-26T05:15:39.2503604Z [ RUN ] OpPixelShuffleOutTest.InvalidInputChannelsDies 2024-06-26T05:15:39.2503980Z [ OK ] OpPixelShuffleOutTest.InvalidInputChannelsDies (0 ms) 2024-06-26T05:15:39.2504282Z [ RUN ] OpPixelShuffleOutTest.WrongInputRankDies 2024-06-26T05:15:39.2504627Z [ OK ] OpPixelShuffleOutTest.WrongInputRankDies (0 ms) 2024-06-26T05:15:39.2504929Z [ RUN ] OpPixelShuffleOutTest.DifferentDtypeDies 2024-06-26T05:15:39.2505258Z [ OK ] OpPixelShuffleOutTest.DifferentDtypeDies (0 ms) 2024-06-26T05:15:39.2505617Z [ RUN ] OpPixelShuffleOutTest.NegativeUpscaleFactorDies 2024-06-26T05:15:39.2506128Z [ OK ] OpPixelShuffleOutTest.NegativeUpscaleFactorDies (0 ms) 2024-06-26T05:15:39.2506486Z [----------] 6 tests from OpPixelShuffleOutTest (0 ms total) 2024-06-26T05:15:39.2506494Z 2024-06-26T05:15:39.2506803Z [----------] 1 test from OpProdOutTest 2024-06-26T05:15:39.2510637Z [ RUN ] OpProdOutTest.SmokeTest 2024-06-26T05:15:39.2510971Z [ OK ] OpProdOutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2511330Z [----------] 1 test from OpProdOutTest (0 ms total) 2024-06-26T05:15:39.2511337Z 2024-06-26T05:15:39.2511561Z [----------] 2 tests from OpProdIntOutTest 2024-06-26T05:15:39.2511822Z [ RUN ] OpProdIntOutTest.SmokeTest 2024-06-26T05:15:39.2512140Z [ OK ] OpProdIntOutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2512420Z [ RUN ] OpProdIntOutTest.SmokeTestKeepdim 2024-06-26T05:15:39.2512780Z [ OK ] OpProdIntOutTest.SmokeTestKeepdim (0 ms) 2024-06-26T05:15:39.2513057Z [----------] 2 tests from OpProdIntOutTest (0 ms total) 2024-06-26T05:15:39.2513063Z 2024-06-26T05:15:39.2513296Z [----------] 3 tests from OpReciprocalTest 2024-06-26T05:15:39.2513526Z [ RUN ] OpReciprocalTest.SanityCheck 2024-06-26T05:15:39.2513784Z [ OK ] OpReciprocalTest.SanityCheck (0 ms) 2024-06-26T05:15:39.2514051Z [ RUN ] OpReciprocalTest.HandleBoolInput 2024-06-26T05:15:39.2514333Z [ OK ] OpReciprocalTest.HandleBoolInput (0 ms) 2024-06-26T05:15:39.2514581Z [ RUN ] OpReciprocalTest.HandleHalfInput 2024-06-26T05:15:39.2514875Z [ OK ] OpReciprocalTest.HandleHalfInput (0 ms) 2024-06-26T05:15:39.2515146Z [----------] 3 tests from OpReciprocalTest (0 ms total) 2024-06-26T05:15:39.2515154Z 2024-06-26T05:15:39.2515361Z [----------] 14 tests from OpReluTest 2024-06-26T05:15:39.2515565Z [ RUN ] OpReluTest.FloatTensors 2024-06-26T05:15:39.2515798Z [ OK ] OpReluTest.FloatTensors (0 ms) 2024-06-26T05:15:39.2516019Z [ RUN ] OpReluTest.DoubleTensors 2024-06-26T05:15:39.2516253Z [ OK ] OpReluTest.DoubleTensors (0 ms) 2024-06-26T05:15:39.2516447Z [ RUN ] OpReluTest.ByteTensors 2024-06-26T05:15:39.2516683Z [ OK ] OpReluTest.ByteTensors (0 ms) 2024-06-26T05:15:39.2516875Z [ RUN ] OpReluTest.CharTensors 2024-06-26T05:15:39.2517131Z [ OK ] OpReluTest.CharTensors (0 ms) 2024-06-26T05:15:39.2517344Z [ RUN ] OpReluTest.ShortTensors 2024-06-26T05:15:39.2517572Z [ OK ] OpReluTest.ShortTensors (0 ms) 2024-06-26T05:15:39.2517763Z [ RUN ] OpReluTest.IntTensors 2024-06-26T05:15:39.2518130Z [ OK ] OpReluTest.IntTensors (0 ms) 2024-06-26T05:15:39.2518385Z [ RUN ] OpReluTest.LongTensors 2024-06-26T05:15:39.2518627Z [ OK ] OpReluTest.LongTensors (0 ms) 2024-06-26T05:15:39.2518865Z [ RUN ] OpReluTest.InfAndNanPreserved 2024-06-26T05:15:39.2519125Z [ OK ] OpReluTest.InfAndNanPreserved (0 ms) 2024-06-26T05:15:39.2519371Z [ RUN ] OpReluTest.UnhandledDtypeDies 2024-06-26T05:15:39.2519630Z [ OK ] OpReluTest.UnhandledDtypeDies (0 ms) 2024-06-26T05:15:39.2519870Z [ RUN ] OpReluTest.UpperBoundOutTensor 2024-06-26T05:15:39.2520154Z [ OK ] OpReluTest.UpperBoundOutTensor (0 ms) 2024-06-26T05:15:39.2520390Z [ RUN ] OpReluTest.SimpleGeneratedCase 2024-06-26T05:15:39.2520655Z [ OK ] OpReluTest.SimpleGeneratedCase (0 ms) 2024-06-26T05:15:39.2521019Z [ RUN ] OpReluTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2521408Z [ OK ] OpReluTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2521796Z [ RUN ] OpReluTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2522262Z [ OK ] OpReluTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2522499Z [ RUN ] OpReluTest.DynamicShapeUnbound 2024-06-26T05:15:39.2522715Z /executorch/kernels/test/op_relu_test.cpp:284: Skipped 2024-06-26T05:15:39.2522851Z Unbound dynamic shape not supported 2024-06-26T05:15:39.2523138Z [ SKIPPED ] OpReluTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2523402Z [----------] 14 tests from OpReluTest (0 ms total) 2024-06-26T05:15:39.2523408Z 2024-06-26T05:15:39.2523628Z [----------] 1 test from OpRemainderOutTest 2024-06-26T05:15:39.2523858Z [ RUN ] OpRemainderOutTest.SmokeTest 2024-06-26T05:15:39.2524127Z [ OK ] OpRemainderOutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2524405Z [----------] 1 test from OpRemainderOutTest (0 ms total) 2024-06-26T05:15:39.2524412Z 2024-06-26T05:15:39.2524670Z [----------] 14 tests from OpRepeatOutTest 2024-06-26T05:15:39.2524941Z [ RUN ] OpRepeatOutTest.AllDtypesSupported 2024-06-26T05:15:39.2525238Z [ OK ] OpRepeatOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.2525520Z [ RUN ] OpRepeatOutTest.EmptyInputSupported 2024-06-26T05:15:39.2525820Z [ OK ] OpRepeatOutTest.EmptyInputSupported (0 ms) 2024-06-26T05:15:39.2526103Z [ RUN ] OpRepeatOutTest.ZeroDimInputSupported 2024-06-26T05:15:39.2526427Z [ OK ] OpRepeatOutTest.ZeroDimInputSupported (0 ms) 2024-06-26T05:15:39.2526776Z [ RUN ] OpRepeatOutTest.ZeroRepeatRegularInputSupported 2024-06-26T05:15:39.2527159Z [ OK ] OpRepeatOutTest.ZeroRepeatRegularInputSupported (0 ms) 2024-06-26T05:15:39.2527517Z [ RUN ] OpRepeatOutTest.ZeroRepeatZeroDimInputSupported 2024-06-26T05:15:39.2527899Z [ OK ] OpRepeatOutTest.ZeroRepeatZeroDimInputSupported (0 ms) 2024-06-26T05:15:39.2528173Z [ RUN ] OpRepeatOutTest.RepeatTooShortDie 2024-06-26T05:15:39.2528462Z [ OK ] OpRepeatOutTest.RepeatTooShortDie (0 ms) 2024-06-26T05:15:39.2528722Z [ RUN ] OpRepeatOutTest.NegativeRepeatDie 2024-06-26T05:15:39.2529020Z [ OK ] OpRepeatOutTest.NegativeRepeatDie (0 ms) 2024-06-26T05:15:39.2529291Z [ RUN ] OpRepeatOutTest.WrongOutputShapeDie 2024-06-26T05:15:39.2529589Z [ OK ] OpRepeatOutTest.WrongOutputShapeDie (0 ms) 2024-06-26T05:15:39.2529934Z [ RUN ] OpRepeatOutTest.OutputDtypeMismatchedDie 2024-06-26T05:15:39.2530267Z [ OK ] OpRepeatOutTest.OutputDtypeMismatchedDie (0 ms) 2024-06-26T05:15:39.2530547Z [ RUN ] OpRepeatOutTest.TooManyDimensionsDies 2024-06-26T05:15:39.2530866Z [ OK ] OpRepeatOutTest.TooManyDimensionsDies (0 ms) 2024-06-26T05:15:39.2531161Z [ RUN ] OpRepeatOutTest.UpperBoundOutTensor 2024-06-26T05:15:39.2531472Z [ OK ] OpRepeatOutTest.UpperBoundOutTensor (0 ms) 2024-06-26T05:15:39.2531855Z [ RUN ] OpRepeatOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2532277Z [ OK ] OpRepeatOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2532699Z [ RUN ] OpRepeatOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2532914Z /executorch/kernels/test/op_repeat_test.cpp:365: Skipped 2024-06-26T05:15:39.2533037Z Dynamic shape not supported 2024-06-26T05:15:39.2533537Z [ SKIPPED ] OpRepeatOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2533806Z [ RUN ] OpRepeatOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2534020Z /executorch/kernels/test/op_repeat_test.cpp:388: Skipped 2024-06-26T05:15:39.2534153Z Dynamic shape not supported 2024-06-26T05:15:39.2534470Z [ SKIPPED ] OpRepeatOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2534756Z [----------] 14 tests from OpRepeatOutTest (0 ms total) 2024-06-26T05:15:39.2534762Z 2024-06-26T05:15:39.2535053Z [----------] 3 tests from OpReflectionPad1DOutTest 2024-06-26T05:15:39.2535317Z [ RUN ] OpReflectionPad1DOutTest.SmokeTest 2024-06-26T05:15:39.2535625Z [ OK ] OpReflectionPad1DOutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2535950Z [ RUN ] OpReflectionPad1DOutTest.SmokeTestNegLeftPad 2024-06-26T05:15:39.2536311Z [ OK ] OpReflectionPad1DOutTest.SmokeTestNegLeftPad (0 ms) 2024-06-26T05:15:39.2536666Z [ RUN ] OpReflectionPad1DOutTest.SmokeTestNegRightPad 2024-06-26T05:15:39.2537034Z [ OK ] OpReflectionPad1DOutTest.SmokeTestNegRightPad (0 ms) 2024-06-26T05:15:39.2537348Z [----------] 3 tests from OpReflectionPad1DOutTest (0 ms total) 2024-06-26T05:15:39.2537365Z 2024-06-26T05:15:39.2537623Z [----------] 3 tests from OpReflectionPad2DOutTest 2024-06-26T05:15:39.2537919Z [ RUN ] OpReflectionPad2DOutTest.SmokeTest 2024-06-26T05:15:39.2538224Z [ OK ] OpReflectionPad2DOutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2538546Z [ RUN ] OpReflectionPad2DOutTest.SmokeTestNegTopPad 2024-06-26T05:15:39.2538903Z [ OK ] OpReflectionPad2DOutTest.SmokeTestNegTopPad (0 ms) 2024-06-26T05:15:39.2539257Z [ RUN ] OpReflectionPad2DOutTest.SmokeTestNegBottomPad 2024-06-26T05:15:39.2539630Z [ OK ] OpReflectionPad2DOutTest.SmokeTestNegBottomPad (0 ms) 2024-06-26T05:15:39.2540030Z [----------] 3 tests from OpReflectionPad2DOutTest (0 ms total) 2024-06-26T05:15:39.2540036Z 2024-06-26T05:15:39.2540304Z [----------] 3 tests from OpReflectionPad3DOutTest 2024-06-26T05:15:39.2540569Z [ RUN ] OpReflectionPad3DOutTest.SmokeTest 2024-06-26T05:15:39.2540874Z [ OK ] OpReflectionPad3DOutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2541213Z [ RUN ] OpReflectionPad3DOutTest.SmokeTestNegFrontPad 2024-06-26T05:15:39.2541581Z [ OK ] OpReflectionPad3DOutTest.SmokeTestNegFrontPad (0 ms) 2024-06-26T05:15:39.2541926Z [ RUN ] OpReflectionPad3DOutTest.SmokeTestNegBackPad 2024-06-26T05:15:39.2542284Z [ OK ] OpReflectionPad3DOutTest.SmokeTestNegBackPad (0 ms) 2024-06-26T05:15:39.2542600Z [----------] 3 tests from OpReflectionPad3DOutTest (0 ms total) 2024-06-26T05:15:39.2542606Z 2024-06-26T05:15:39.2542880Z [----------] 3 tests from OpReplicationPad1DOutTest 2024-06-26T05:15:39.2543180Z [ RUN ] OpReplicationPad1DOutTest.SmokeTest 2024-06-26T05:15:39.2543493Z [ OK ] OpReplicationPad1DOutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2543827Z [ RUN ] OpReplicationPad1DOutTest.SmokeTestNegLeftPad 2024-06-26T05:15:39.2544194Z [ OK ] OpReplicationPad1DOutTest.SmokeTestNegLeftPad (0 ms) 2024-06-26T05:15:39.2544584Z [ RUN ] OpReplicationPad1DOutTest.SmokeTestNegRightPad 2024-06-26T05:15:39.2544960Z [ OK ] OpReplicationPad1DOutTest.SmokeTestNegRightPad (0 ms) 2024-06-26T05:15:39.2545287Z [----------] 3 tests from OpReplicationPad1DOutTest (0 ms total) 2024-06-26T05:15:39.2545292Z 2024-06-26T05:15:39.2545567Z [----------] 3 tests from OpReplicationPad2DOutTest 2024-06-26T05:15:39.2545837Z [ RUN ] OpReplicationPad2DOutTest.SmokeTest 2024-06-26T05:15:39.2546134Z [ OK ] OpReplicationPad2DOutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2546475Z [ RUN ] OpReplicationPad2DOutTest.SmokeTestNegTopPad 2024-06-26T05:15:39.2546834Z [ OK ] OpReplicationPad2DOutTest.SmokeTestNegTopPad (0 ms) 2024-06-26T05:15:39.2547196Z [ RUN ] OpReplicationPad2DOutTest.SmokeTestNegBottomPad 2024-06-26T05:15:39.2547580Z [ OK ] OpReplicationPad2DOutTest.SmokeTestNegBottomPad (0 ms) 2024-06-26T05:15:39.2547902Z [----------] 3 tests from OpReplicationPad2DOutTest (0 ms total) 2024-06-26T05:15:39.2547907Z 2024-06-26T05:15:39.2548182Z [----------] 3 tests from OpReplicationPad3DOutTest 2024-06-26T05:15:39.2548485Z [ RUN ] OpReplicationPad3DOutTest.SmokeTest 2024-06-26T05:15:39.2548784Z [ OK ] OpReplicationPad3DOutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2549136Z [ RUN ] OpReplicationPad3DOutTest.SmokeTestNegFrontPad 2024-06-26T05:15:39.2549513Z [ OK ] OpReplicationPad3DOutTest.SmokeTestNegFrontPad (0 ms) 2024-06-26T05:15:39.2549865Z [ RUN ] OpReplicationPad3DOutTest.SmokeTestNegBackPad 2024-06-26T05:15:39.2550233Z [ OK ] OpReplicationPad3DOutTest.SmokeTestNegBackPad (0 ms) 2024-06-26T05:15:39.2550556Z [----------] 3 tests from OpReplicationPad3DOutTest (0 ms total) 2024-06-26T05:15:39.2550562Z 2024-06-26T05:15:39.2550774Z [----------] 1 test from OpRollOutTest 2024-06-26T05:15:39.2550977Z [ RUN ] OpRollOutTest.SmokeTest 2024-06-26T05:15:39.2551234Z [ OK ] OpRollOutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2551507Z [----------] 1 test from OpRollOutTest (0 ms total) 2024-06-26T05:15:39.2551512Z 2024-06-26T05:15:39.2551709Z [----------] 12 tests from OpRoundTest 2024-06-26T05:15:39.2551928Z [ RUN ] OpRoundTest.FloatTensors 2024-06-26T05:15:39.2552164Z [ OK ] OpRoundTest.FloatTensors (0 ms) 2024-06-26T05:15:39.2552374Z [ RUN ] OpRoundTest.DoubleTensors 2024-06-26T05:15:39.2552630Z [ OK ] OpRoundTest.DoubleTensors (0 ms) 2024-06-26T05:15:39.2552832Z [ RUN ] OpRoundTest.ByteTensors 2024-06-26T05:15:39.2553064Z [ OK ] OpRoundTest.ByteTensors (0 ms) 2024-06-26T05:15:39.2553276Z [ RUN ] OpRoundTest.CharTensors 2024-06-26T05:15:39.2553502Z [ OK ] OpRoundTest.CharTensors (0 ms) 2024-06-26T05:15:39.2553711Z [ RUN ] OpRoundTest.ShortTensors 2024-06-26T05:15:39.2553962Z [ OK ] OpRoundTest.ShortTensors (0 ms) 2024-06-26T05:15:39.2554158Z [ RUN ] OpRoundTest.IntTensors 2024-06-26T05:15:39.2554388Z [ OK ] OpRoundTest.IntTensors (0 ms) 2024-06-26T05:15:39.2554600Z [ RUN ] OpRoundTest.LongTensors 2024-06-26T05:15:39.2554825Z [ OK ] OpRoundTest.LongTensors (0 ms) 2024-06-26T05:15:39.2555072Z [ RUN ] OpRoundTest.InfAndNanPreserved 2024-06-26T05:15:39.2555343Z [ OK ] OpRoundTest.InfAndNanPreserved (0 ms) 2024-06-26T05:15:39.2555615Z [ RUN ] OpRoundTest.UnhandledDtypeDies 2024-06-26T05:15:39.2555895Z [ OK ] OpRoundTest.UnhandledDtypeDies (0 ms) 2024-06-26T05:15:39.2556257Z [ RUN ] OpRoundTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2556651Z [ OK ] OpRoundTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2557073Z [ RUN ] OpRoundTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2557498Z [ OK ] OpRoundTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2557743Z [ RUN ] OpRoundTest.DynamicShapeUnbound 2024-06-26T05:15:39.2558089Z /executorch/kernels/test/op_round_test.cpp:226: Skipped 2024-06-26T05:15:39.2558225Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2558523Z [ SKIPPED ] OpRoundTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2558791Z [----------] 12 tests from OpRoundTest (0 ms total) 2024-06-26T05:15:39.2558796Z 2024-06-26T05:15:39.2558992Z [----------] 3 tests from OpRsqrtTest 2024-06-26T05:15:39.2559205Z [ RUN ] OpRsqrtTest.SanityCheck 2024-06-26T05:15:39.2559439Z [ OK ] OpRsqrtTest.SanityCheck (0 ms) 2024-06-26T05:15:39.2559664Z [ RUN ] OpRsqrtTest.HandleBoolInput 2024-06-26T05:15:39.2559925Z [ OK ] OpRsqrtTest.HandleBoolInput (0 ms) 2024-06-26T05:15:39.2560149Z [ RUN ] OpRsqrtTest.HandleHalfInput 2024-06-26T05:15:39.2560401Z [ OK ] OpRsqrtTest.HandleHalfInput (0 ms) 2024-06-26T05:15:39.2560723Z [----------] 3 tests from OpRsqrtTest (0 ms total) 2024-06-26T05:15:39.2560728Z 2024-06-26T05:15:39.2560964Z [----------] 14 tests from OpRSubScalarOutTest 2024-06-26T05:15:39.2561220Z [ RUN ] OpRSubScalarOutTest.ByteTensors 2024-06-26T05:15:39.2561497Z [ OK ] OpRSubScalarOutTest.ByteTensors (0 ms) 2024-06-26T05:15:39.2561739Z [ RUN ] OpRSubScalarOutTest.CharTensors 2024-06-26T05:15:39.2562031Z [ OK ] OpRSubScalarOutTest.CharTensors (0 ms) 2024-06-26T05:15:39.2562280Z [ RUN ] OpRSubScalarOutTest.ShortTensors 2024-06-26T05:15:39.2562560Z [ OK ] OpRSubScalarOutTest.ShortTensors (0 ms) 2024-06-26T05:15:39.2562813Z [ RUN ] OpRSubScalarOutTest.IntTensors 2024-06-26T05:15:39.2563080Z [ OK ] OpRSubScalarOutTest.IntTensors (0 ms) 2024-06-26T05:15:39.2563354Z [ RUN ] OpRSubScalarOutTest.LongTensors 2024-06-26T05:15:39.2563646Z [ OK ] OpRSubScalarOutTest.LongTensors (0 ms) 2024-06-26T05:15:39.2563966Z [ RUN ] OpRSubScalarOutTest.IntTensorFloatAlphaDies 2024-06-26T05:15:39.2564318Z [ OK ] OpRSubScalarOutTest.IntTensorFloatAlphaDies (0 ms) 2024-06-26T05:15:39.2564582Z [ RUN ] OpRSubScalarOutTest.FloatTensors 2024-06-26T05:15:39.2564861Z [ OK ] OpRSubScalarOutTest.FloatTensors (0 ms) 2024-06-26T05:15:39.2565133Z [ RUN ] OpRSubScalarOutTest.DoubleTensors 2024-06-26T05:15:39.2565520Z [ OK ] OpRSubScalarOutTest.DoubleTensors (0 ms) 2024-06-26T05:15:39.2565808Z [ RUN ] OpRSubScalarOutTest.UnhandledDtypeDies 2024-06-26T05:15:39.2566138Z [ OK ] OpRSubScalarOutTest.UnhandledDtypeDies (0 ms) 2024-06-26T05:15:39.2566475Z [ RUN ] OpRSubScalarOutTest.MismatchedOutputDtypeDies 2024-06-26T05:15:39.2566843Z [ OK ] OpRSubScalarOutTest.MismatchedOutputDtypeDies (0 ms) 2024-06-26T05:15:39.2567203Z [ RUN ] OpRSubScalarOutTest.MismatchedOutputShapesDies 2024-06-26T05:15:39.2567580Z [ OK ] OpRSubScalarOutTest.MismatchedOutputShapesDies (0 ms) 2024-06-26T05:15:39.2568008Z [ RUN ] OpRSubScalarOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2568467Z [ OK ] OpRSubScalarOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2568946Z [ RUN ] OpRSubScalarOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2569160Z /executorch/kernels/test/op_rsub_test.cpp:241: Skipped 2024-06-26T05:15:39.2569282Z Dynamic shape not supported 2024-06-26T05:15:39.2569802Z [ SKIPPED ] OpRSubScalarOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2581408Z [ RUN ] OpRSubScalarOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2581830Z /executorch/kernels/test/op_rsub_test.cpp:249: Skipped 2024-06-26T05:15:39.2581960Z Dynamic shape not supported 2024-06-26T05:15:39.2582387Z [ SKIPPED ] OpRSubScalarOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2582686Z [----------] 14 tests from OpRSubScalarOutTest (0 ms total) 2024-06-26T05:15:39.2582694Z 2024-06-26T05:15:39.2582959Z [----------] 16 tests from OpScalarTensorOutTest 2024-06-26T05:15:39.2583248Z [ RUN ] OpScalarTensorOutTest.ByteTensorsDim0 2024-06-26T05:15:39.2583565Z [ OK ] OpScalarTensorOutTest.ByteTensorsDim0 (0 ms) 2024-06-26T05:15:39.2583861Z [ RUN ] OpScalarTensorOutTest.CharTensorsDim0 2024-06-26T05:15:39.2584170Z [ OK ] OpScalarTensorOutTest.CharTensorsDim0 (0 ms) 2024-06-26T05:15:39.2584457Z [ RUN ] OpScalarTensorOutTest.ShortTensorsDim0 2024-06-26T05:15:39.2584783Z [ OK ] OpScalarTensorOutTest.ShortTensorsDim0 (0 ms) 2024-06-26T05:15:39.2585060Z [ RUN ] OpScalarTensorOutTest.IntTensorsDim0 2024-06-26T05:15:39.2585362Z [ OK ] OpScalarTensorOutTest.IntTensorsDim0 (0 ms) 2024-06-26T05:15:39.2585703Z [ RUN ] OpScalarTensorOutTest.LongTensorsDim0 2024-06-26T05:15:39.2586010Z [ OK ] OpScalarTensorOutTest.LongTensorsDim0 (0 ms) 2024-06-26T05:15:39.2586310Z [ RUN ] OpScalarTensorOutTest.FloatTensorsDim0 2024-06-26T05:15:39.2586624Z [ OK ] OpScalarTensorOutTest.FloatTensorsDim0 (0 ms) 2024-06-26T05:15:39.2586917Z [ RUN ] OpScalarTensorOutTest.DoubleTensorsDim0 2024-06-26T05:15:39.2587256Z [ OK ] OpScalarTensorOutTest.DoubleTensorsDim0 (0 ms) 2024-06-26T05:15:39.2587516Z [ RUN ] OpScalarTensorOutTest.ByteTensors 2024-06-26T05:15:39.2587800Z [ OK ] OpScalarTensorOutTest.ByteTensors (0 ms) 2024-06-26T05:15:39.2588074Z [ RUN ] OpScalarTensorOutTest.CharTensors 2024-06-26T05:15:39.2588352Z [ OK ] OpScalarTensorOutTest.CharTensors (0 ms) 2024-06-26T05:15:39.2588650Z [ RUN ] OpScalarTensorOutTest.ShortTensors 2024-06-26T05:15:39.2588958Z [ OK ] OpScalarTensorOutTest.ShortTensors (0 ms) 2024-06-26T05:15:39.2589201Z [ RUN ] OpScalarTensorOutTest.IntTensors 2024-06-26T05:15:39.2589493Z [ OK ] OpScalarTensorOutTest.IntTensors (0 ms) 2024-06-26T05:15:39.2589749Z [ RUN ] OpScalarTensorOutTest.LongTensors 2024-06-26T05:15:39.2590026Z [ OK ] OpScalarTensorOutTest.LongTensors (0 ms) 2024-06-26T05:15:39.2590303Z [ RUN ] OpScalarTensorOutTest.FloatTensors 2024-06-26T05:15:39.2590593Z [ OK ] OpScalarTensorOutTest.FloatTensors (0 ms) 2024-06-26T05:15:39.2590861Z [ RUN ] OpScalarTensorOutTest.DoubleTensors 2024-06-26T05:15:39.2591166Z [ OK ] OpScalarTensorOutTest.DoubleTensors (0 ms) 2024-06-26T05:15:39.2591485Z [ RUN ] OpScalarTensorOutTest.InvalidOutShapeFails 2024-06-26T05:15:39.2591830Z [ OK ] OpScalarTensorOutTest.InvalidOutShapeFails (0 ms) 2024-06-26T05:15:39.2592105Z [ RUN ] OpScalarTensorOutTest.HalfSupport 2024-06-26T05:15:39.2592390Z [ OK ] OpScalarTensorOutTest.HalfSupport (0 ms) 2024-06-26T05:15:39.2592695Z [----------] 16 tests from OpScalarTensorOutTest (0 ms total) 2024-06-26T05:15:39.2592714Z 2024-06-26T05:15:39.2592948Z [----------] 8 tests from OpScatterAddOutTest 2024-06-26T05:15:39.2593322Z [ RUN ] OpScatterAddOutTest.AllValidInputOutputSupport 2024-06-26T05:15:39.2593715Z [ OK ] OpScatterAddOutTest.AllValidInputOutputSupport (0 ms) 2024-06-26T05:15:39.2594003Z [ RUN ] OpScatterAddOutTest.InfinityAndNANTest 2024-06-26T05:15:39.2594321Z [ OK ] OpScatterAddOutTest.InfinityAndNANTest (0 ms) 2024-06-26T05:15:39.2594671Z [ RUN ] OpScatterAddOutTest.InvalidDimensionsDies 2024-06-26T05:15:39.2595009Z [ OK ] OpScatterAddOutTest.InvalidDimensionsDies (0 ms) 2024-06-26T05:15:39.2595307Z [ RUN ] OpScatterAddOutTest.MismatchedShapeDies 2024-06-26T05:15:39.2595646Z [ OK ] OpScatterAddOutTest.MismatchedShapeDies (0 ms) 2024-06-26T05:15:39.2595979Z [ RUN ] OpScatterAddOutTest.MismatchedInputDtypesDies 2024-06-26T05:15:39.2596358Z [ OK ] OpScatterAddOutTest.MismatchedInputDtypesDies (0 ms) 2024-06-26T05:15:39.2596772Z [ RUN ] OpScatterAddOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2597375Z [ OK ] OpScatterAddOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2597838Z [ RUN ] OpScatterAddOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2598266Z /executorch/kernels/test/op_scatter_add_test.cpp:392: Skipped 2024-06-26T05:15:39.2598393Z Dynamic shape not supported 2024-06-26T05:15:39.2598936Z [ SKIPPED ] OpScatterAddOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2599232Z [ RUN ] OpScatterAddOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2599527Z /executorch/kernels/test/op_scatter_add_test.cpp:400: Skipped 2024-06-26T05:15:39.2599663Z Dynamic shape not supported 2024-06-26T05:15:39.2600017Z [ SKIPPED ] OpScatterAddOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2600324Z [----------] 8 tests from OpScatterAddOutTest (1 ms total) 2024-06-26T05:15:39.2600331Z 2024-06-26T05:15:39.2600589Z [----------] 16 tests from OpSelectScatterOutTest 2024-06-26T05:15:39.2600938Z [ RUN ] OpSelectScatterOutTest.SelectFrontDimAllIndexes 2024-06-26T05:15:39.2601334Z [ OK ] OpSelectScatterOutTest.SelectFrontDimAllIndexes (0 ms) 2024-06-26T05:15:39.2601690Z [ RUN ] OpSelectScatterOutTest.SelectMiddleDimAllIndexes 2024-06-26T05:15:39.2602078Z [ OK ] OpSelectScatterOutTest.SelectMiddleDimAllIndexes (0 ms) 2024-06-26T05:15:39.2602467Z [ RUN ] OpSelectScatterOutTest.SelectEndDimAllIndexes 2024-06-26T05:15:39.2602839Z [ OK ] OpSelectScatterOutTest.SelectEndDimAllIndexes (0 ms) 2024-06-26T05:15:39.2603164Z [ RUN ] OpSelectScatterOutTest.OutputDynamicShape 2024-06-26T05:15:39.2603502Z [ OK ] OpSelectScatterOutTest.OutputDynamicShape (0 ms) 2024-06-26T05:15:39.2603811Z [ RUN ] OpSelectScatterOutTest.AllDtypesSupported 2024-06-26T05:15:39.2604166Z [ OK ] OpSelectScatterOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.2604613Z [ RUN ] OpSelectScatterOutTest.EmptyTensorNonZeroNDimsInputSupported 2024-06-26T05:15:39.2605103Z [ OK ] OpSelectScatterOutTest.EmptyTensorNonZeroNDimsInputSupported (0 ms) 2024-06-26T05:15:39.2605498Z [ RUN ] OpSelectScatterOutTest.EmptyTensorZeroNDimsInputDies 2024-06-26T05:15:39.2605923Z [ OK ] OpSelectScatterOutTest.EmptyTensorZeroNDimsInputDies (0 ms) 2024-06-26T05:15:39.2606226Z [ RUN ] OpSelectScatterOutTest.DimOutOfBoundDies 2024-06-26T05:15:39.2606573Z [ OK ] OpSelectScatterOutTest.DimOutOfBoundDies (0 ms) 2024-06-26T05:15:39.2606888Z [ RUN ] OpSelectScatterOutTest.IndexOutOfBoundDies 2024-06-26T05:15:39.2607249Z [ OK ] OpSelectScatterOutTest.IndexOutOfBoundDies (0 ms) 2024-06-26T05:15:39.2607567Z [ RUN ] OpSelectScatterOutTest.MismatchedDtypesDies 2024-06-26T05:15:39.2607954Z [ OK ] OpSelectScatterOutTest.MismatchedDtypesDies (0 ms) 2024-06-26T05:15:39.2608350Z [ RUN ] OpSelectScatterOutTest.SrcMatchNumelLackDimAtEndDies 2024-06-26T05:15:39.2608769Z [ OK ] OpSelectScatterOutTest.SrcMatchNumelLackDimAtEndDies (0 ms) 2024-06-26T05:15:39.2609172Z [ RUN ] OpSelectScatterOutTest.SrcMatchNumelExtraDimAtFrontDies 2024-06-26T05:15:39.2609665Z [ OK ] OpSelectScatterOutTest.SrcMatchNumelExtraDimAtFrontDies (0 ms) 2024-06-26T05:15:39.2610006Z [ RUN ] OpSelectScatterOutTest.SrcSizeMismatchDimDies 2024-06-26T05:15:39.2610387Z [ OK ] OpSelectScatterOutTest.SrcSizeMismatchDimDies (0 ms) 2024-06-26T05:15:39.2610823Z [ RUN ] OpSelectScatterOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2611308Z [ OK ] OpSelectScatterOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2611791Z [ RUN ] OpSelectScatterOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2612054Z /executorch/kernels/test/op_select_scatter_test.cpp:655: Skipped 2024-06-26T05:15:39.2612177Z Dynamic shape not supported 2024-06-26T05:15:39.2612741Z [ SKIPPED ] OpSelectScatterOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2613057Z [ RUN ] OpSelectScatterOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2613321Z /executorch/kernels/test/op_select_scatter_test.cpp:663: Skipped 2024-06-26T05:15:39.2613459Z Dynamic shape not supported 2024-06-26T05:15:39.2613877Z [ SKIPPED ] OpSelectScatterOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2614196Z [----------] 16 tests from OpSelectScatterOutTest (1 ms total) 2024-06-26T05:15:39.2614202Z 2024-06-26T05:15:39.2614455Z [----------] 15 tests from OpSelectCopyIntOutTest 2024-06-26T05:15:39.2614805Z [ RUN ] OpSelectCopyIntOutTest.SelectFrontDimAllIndexes 2024-06-26T05:15:39.2615204Z [ OK ] OpSelectCopyIntOutTest.SelectFrontDimAllIndexes (0 ms) 2024-06-26T05:15:39.2615561Z [ RUN ] OpSelectCopyIntOutTest.SelectMiddleDimAllIndexes 2024-06-26T05:15:39.2615945Z [ OK ] OpSelectCopyIntOutTest.SelectMiddleDimAllIndexes (0 ms) 2024-06-26T05:15:39.2616299Z [ RUN ] OpSelectCopyIntOutTest.SelectEndDimAllIndexes 2024-06-26T05:15:39.2616665Z [ OK ] OpSelectCopyIntOutTest.SelectEndDimAllIndexes (0 ms) 2024-06-26T05:15:39.2617008Z [ RUN ] OpSelectCopyIntOutTest.AllDtypesSupported 2024-06-26T05:15:39.2617366Z [ OK ] OpSelectCopyIntOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.2617690Z [ RUN ] OpSelectCopyIntOutTest.VectorInputSupported 2024-06-26T05:15:39.2618059Z [ OK ] OpSelectCopyIntOutTest.VectorInputSupported (0 ms) 2024-06-26T05:15:39.2618507Z [ RUN ] OpSelectCopyIntOutTest.EmptyTensorNonZeroNDimsInputSupported 2024-06-26T05:15:39.2618999Z [ OK ] OpSelectCopyIntOutTest.EmptyTensorNonZeroNDimsInputSupported (0 ms) 2024-06-26T05:15:39.2619392Z [ RUN ] OpSelectCopyIntOutTest.EmptyTensorZeroNDimsInputDies 2024-06-26T05:15:39.2619876Z [ OK ] OpSelectCopyIntOutTest.EmptyTensorZeroNDimsInputDies (0 ms) 2024-06-26T05:15:39.2620185Z [ RUN ] OpSelectCopyIntOutTest.DimOutOfBoundDies 2024-06-26T05:15:39.2620540Z [ OK ] OpSelectCopyIntOutTest.DimOutOfBoundDies (0 ms) 2024-06-26T05:15:39.2620860Z [ RUN ] OpSelectCopyIntOutTest.MismatchedDtypesDies 2024-06-26T05:15:39.2621236Z [ OK ] OpSelectCopyIntOutTest.MismatchedDtypesDies (0 ms) 2024-06-26T05:15:39.2621613Z [ RUN ] OpSelectCopyIntOutTest.OutMatchNumelLackDimAtEndDies 2024-06-26T05:15:39.2622028Z [ OK ] OpSelectCopyIntOutTest.OutMatchNumelLackDimAtEndDies (0 ms) 2024-06-26T05:15:39.2622438Z [ RUN ] OpSelectCopyIntOutTest.OutMatchNumelExtraDimAtFrontDies 2024-06-26T05:15:39.2622909Z [ OK ] OpSelectCopyIntOutTest.OutMatchNumelExtraDimAtFrontDies (0 ms) 2024-06-26T05:15:39.2623248Z [ RUN ] OpSelectCopyIntOutTest.OutSizeMismatchDimDies 2024-06-26T05:15:39.2623621Z [ OK ] OpSelectCopyIntOutTest.OutSizeMismatchDimDies (0 ms) 2024-06-26T05:15:39.2624054Z [ RUN ] OpSelectCopyIntOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2624586Z [ OK ] OpSelectCopyIntOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2625058Z [ RUN ] OpSelectCopyIntOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2625301Z /executorch/kernels/test/op_select_copy_test.cpp:488: Skipped 2024-06-26T05:15:39.2625434Z Dynamic shape not supported 2024-06-26T05:15:39.2625979Z [ SKIPPED ] OpSelectCopyIntOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2626294Z [ RUN ] OpSelectCopyIntOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2626547Z /executorch/kernels/test/op_select_copy_test.cpp:525: Skipped 2024-06-26T05:15:39.2626667Z Dynamic shape not supported 2024-06-26T05:15:39.2627039Z [ SKIPPED ] OpSelectCopyIntOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2627356Z [----------] 15 tests from OpSelectCopyIntOutTest (0 ms total) 2024-06-26T05:15:39.2627362Z 2024-06-26T05:15:39.2627582Z [----------] 5 tests from OpSigmoidOutTest 2024-06-26T05:15:39.2627938Z [ RUN ] OpSigmoidOutTest.AllRealInputHalfOutputSupport 2024-06-26T05:15:39.2628349Z [ OK ] OpSigmoidOutTest.AllRealInputHalfOutputSupport (0 ms) 2024-06-26T05:15:39.2628699Z [ RUN ] OpSigmoidOutTest.AllRealInputFloatOutputSupport 2024-06-26T05:15:39.2629091Z [ OK ] OpSigmoidOutTest.AllRealInputFloatOutputSupport (0 ms) 2024-06-26T05:15:39.2629443Z [ RUN ] OpSigmoidOutTest.AllRealInputDoubleOutputSupport 2024-06-26T05:15:39.2629836Z [ OK ] OpSigmoidOutTest.AllRealInputDoubleOutputSupport (0 ms) 2024-06-26T05:15:39.2630128Z [ RUN ] OpSigmoidOutTest.MismatchedShapesDies 2024-06-26T05:15:39.2630435Z [ OK ] OpSigmoidOutTest.MismatchedShapesDies (0 ms) 2024-06-26T05:15:39.2630769Z [ RUN ] OpSigmoidOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.2631118Z [ OK ] OpSigmoidOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.2631425Z [----------] 5 tests from OpSigmoidOutTest (0 ms total) 2024-06-26T05:15:39.2631432Z 2024-06-26T05:15:39.2631640Z [----------] 3 tests from OpSignTest 2024-06-26T05:15:39.2631877Z [ RUN ] OpSignTest.ETSanityCheckFloat 2024-06-26T05:15:39.2632144Z [ OK ] OpSignTest.ETSanityCheckFloat (0 ms) 2024-06-26T05:15:39.2632400Z [ RUN ] OpSignTest.ATenSanityCheckFloat 2024-06-26T05:15:39.2632598Z /executorch/kernels/test/op_sign_test.cpp:48: Skipped 2024-06-26T05:15:39.2632717Z ET returns NAN on NAN input 2024-06-26T05:15:39.2633025Z [ SKIPPED ] OpSignTest.ATenSanityCheckFloat (0 ms) 2024-06-26T05:15:39.2633240Z [ RUN ] OpSignTest.SanityCheckBool 2024-06-26T05:15:39.2633494Z [ OK ] OpSignTest.SanityCheckBool (0 ms) 2024-06-26T05:15:39.2633739Z [----------] 3 tests from OpSignTest (0 ms total) 2024-06-26T05:15:39.2633747Z 2024-06-26T05:15:39.2633946Z [----------] 11 tests from OpSinOutTest 2024-06-26T05:15:39.2634189Z [ RUN ] OpSinOutTest.HandleBoolInput 2024-06-26T05:15:39.2634443Z [ OK ] OpSinOutTest.HandleBoolInput (0 ms) 2024-06-26T05:15:39.2634860Z [ RUN ] OpSinOutTest.AllRealInputHalfOutputStaticDynamismSupport 2024-06-26T05:15:39.2635325Z [ OK ] OpSinOutTest.AllRealInputHalfOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.2635745Z [ RUN ] OpSinOutTest.AllRealInputFloatOutputStaticDynamismSupport 2024-06-26T05:15:39.2636236Z [ OK ] OpSinOutTest.AllRealInputFloatOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.2636677Z [ RUN ] OpSinOutTest.AllRealInputDoubleOutputStaticDynamismSupport 2024-06-26T05:15:39.2637155Z [ OK ] OpSinOutTest.AllRealInputDoubleOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.2637567Z [ RUN ] OpSinOutTest.AllRealInputHalfOutputBoundDynamismSupport 2024-06-26T05:15:39.2638167Z [ OK ] OpSinOutTest.AllRealInputHalfOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.2638586Z [ RUN ] OpSinOutTest.AllRealInputFloatOutputBoundDynamismSupport 2024-06-26T05:15:39.2639055Z [ OK ] OpSinOutTest.AllRealInputFloatOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.2639476Z [ RUN ] OpSinOutTest.AllRealInputDoubleOutputBoundDynamismSupport 2024-06-26T05:15:39.2639943Z [ OK ] OpSinOutTest.AllRealInputDoubleOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.2640390Z [ RUN ] OpSinOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.2640585Z /executorch/kernels/test/op_sin_test.cpp:132: Skipped 2024-06-26T05:15:39.2640732Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2641234Z [ SKIPPED ] OpSinOutTest.AllRealInputFloatOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.2641673Z [ RUN ] OpSinOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.2641881Z /executorch/kernels/test/op_sin_test.cpp:143: Skipped 2024-06-26T05:15:39.2642016Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2642577Z [ SKIPPED ] OpSinOutTest.AllRealInputDoubleOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.2642883Z [ RUN ] OpSinOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.2643207Z [ OK ] OpSinOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.2643494Z [ RUN ] OpSinOutTest.MismatchedInputShapesDies 2024-06-26T05:15:39.2643828Z [ OK ] OpSinOutTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.2644087Z [----------] 11 tests from OpSinOutTest (0 ms total) 2024-06-26T05:15:39.2644092Z 2024-06-26T05:15:39.2644310Z [----------] 11 tests from OpSinhOutTest 2024-06-26T05:15:39.2644545Z [ RUN ] OpSinhOutTest.HandleBoolInput 2024-06-26T05:15:39.2644807Z [ OK ] OpSinhOutTest.HandleBoolInput (0 ms) 2024-06-26T05:15:39.2645283Z [ RUN ] OpSinhOutTest.AllRealInputHalfOutputStaticDynamismSupport 2024-06-26T05:15:39.2645748Z [ OK ] OpSinhOutTest.AllRealInputHalfOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.2646178Z [ RUN ] OpSinhOutTest.AllRealInputFloatOutputStaticDynamismSupport 2024-06-26T05:15:39.2646667Z [ OK ] OpSinhOutTest.AllRealInputFloatOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.2647104Z [ RUN ] OpSinhOutTest.AllRealInputDoubleOutputStaticDynamismSupport 2024-06-26T05:15:39.2647602Z [ OK ] OpSinhOutTest.AllRealInputDoubleOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.2648012Z [ RUN ] OpSinhOutTest.AllRealInputHalfOutputBoundDynamismSupport 2024-06-26T05:15:39.2648469Z [ OK ] OpSinhOutTest.AllRealInputHalfOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.2648901Z [ RUN ] OpSinhOutTest.AllRealInputFloatOutputBoundDynamismSupport 2024-06-26T05:15:39.2649365Z [ OK ] OpSinhOutTest.AllRealInputFloatOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.2649796Z [ RUN ] OpSinhOutTest.AllRealInputDoubleOutputBoundDynamismSupport 2024-06-26T05:15:39.2650286Z [ OK ] OpSinhOutTest.AllRealInputDoubleOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.2650724Z [ RUN ] OpSinhOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.2650934Z /executorch/kernels/test/op_sinh_test.cpp:132: Skipped 2024-06-26T05:15:39.2651067Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2651609Z [ SKIPPED ] OpSinhOutTest.AllRealInputFloatOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.2652068Z [ RUN ] OpSinhOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.2652266Z /executorch/kernels/test/op_sinh_test.cpp:143: Skipped 2024-06-26T05:15:39.2652398Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2652966Z [ SKIPPED ] OpSinhOutTest.AllRealInputDoubleOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.2653268Z [ RUN ] OpSinhOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.2653602Z [ OK ] OpSinhOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.2653902Z [ RUN ] OpSinhOutTest.MismatchedInputShapesDies 2024-06-26T05:15:39.2654228Z [ OK ] OpSinhOutTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.2654499Z [----------] 11 tests from OpSinhOutTest (0 ms total) 2024-06-26T05:15:39.2654505Z 2024-06-26T05:15:39.2654782Z [----------] 15 tests from OpSliceScatterTensorOutTest 2024-06-26T05:15:39.2655123Z [ RUN ] OpSliceScatterTensorOutTest.LegalDimSupported 2024-06-26T05:15:39.2655505Z [ OK ] OpSliceScatterTensorOutTest.LegalDimSupported (0 ms) 2024-06-26T05:15:39.2655867Z [ RUN ] OpSliceScatterTensorOutTest.AllStartValsSupported 2024-06-26T05:15:39.2656268Z [ OK ] OpSliceScatterTensorOutTest.AllStartValsSupported (0 ms) 2024-06-26T05:15:39.2656635Z [ RUN ] OpSliceScatterTensorOutTest.AllEndValsSupported 2024-06-26T05:15:39.2657046Z [ OK ] OpSliceScatterTensorOutTest.AllEndValsSupported (0 ms) 2024-06-26T05:15:39.2657397Z [ RUN ] OpSliceScatterTensorOutTest.LegalStepsSupported 2024-06-26T05:15:39.2657790Z [ OK ] OpSliceScatterTensorOutTest.LegalStepsSupported (0 ms) 2024-06-26T05:15:39.2658160Z [ RUN ] OpSliceScatterTensorOutTest.AllRealDtypesSupported 2024-06-26T05:15:39.2658569Z [ OK ] OpSliceScatterTensorOutTest.AllRealDtypesSupported (0 ms) 2024-06-26T05:15:39.2658922Z [ RUN ] OpSliceScatterTensorOutTest.EmptyInputSupported 2024-06-26T05:15:39.2659304Z [ OK ] OpSliceScatterTensorOutTest.EmptyInputSupported (0 ms) 2024-06-26T05:15:39.2659728Z [ RUN ] OpSliceScatterTensorOutTest.EmptySizeInputDies 2024-06-26T05:15:39.2660119Z [ OK ] OpSliceScatterTensorOutTest.EmptySizeInputDies (0 ms) 2024-06-26T05:15:39.2660499Z [ RUN ] OpSliceScatterTensorOutTest.NonPostiveStepsDies 2024-06-26T05:15:39.2660898Z [ OK ] OpSliceScatterTensorOutTest.NonPostiveStepsDies (0 ms) 2024-06-26T05:15:39.2661234Z [ RUN ] OpSliceScatterTensorOutTest.DimOutOfBoundDies 2024-06-26T05:15:39.2661613Z [ OK ] OpSliceScatterTensorOutTest.DimOutOfBoundDies (0 ms) 2024-06-26T05:15:39.2661986Z [ RUN ] OpSliceScatterTensorOutTest.MismatchedOutDtypesDies 2024-06-26T05:15:39.2662396Z [ OK ] OpSliceScatterTensorOutTest.MismatchedOutDtypesDies (0 ms) 2024-06-26T05:15:39.2662777Z [ RUN ] OpSliceScatterTensorOutTest.OutSizeMismatchDimDies 2024-06-26T05:15:39.2663181Z [ OK ] OpSliceScatterTensorOutTest.OutSizeMismatchDimDies (0 ms) 2024-06-26T05:15:39.2663544Z [ RUN ] OpSliceScatterTensorOutTest.SrcSizeMismatchDimDies 2024-06-26T05:15:39.2663960Z [ OK ] OpSliceScatterTensorOutTest.SrcSizeMismatchDimDies (0 ms) 2024-06-26T05:15:39.2664343Z [ RUN ] OpSliceScatterTensorOutTest.DefaultStartValSupported 2024-06-26T05:15:39.2664765Z [ OK ] OpSliceScatterTensorOutTest.DefaultStartValSupported (0 ms) 2024-06-26T05:15:39.2665147Z [ RUN ] OpSliceScatterTensorOutTest.DefaultEndValSupported 2024-06-26T05:15:39.2665550Z [ OK ] OpSliceScatterTensorOutTest.DefaultEndValSupported (0 ms) 2024-06-26T05:15:39.2665928Z [ RUN ] OpSliceScatterTensorOutTest.DynamicShapeTest 2024-06-26T05:15:39.2666293Z [ OK ] OpSliceScatterTensorOutTest.DynamicShapeTest (0 ms) 2024-06-26T05:15:39.2666632Z [----------] 15 tests from OpSliceScatterTensorOutTest (0 ms total) 2024-06-26T05:15:39.2666638Z 2024-06-26T05:15:39.2666912Z [----------] 16 tests from OpSliceCopyTensorOutTest 2024-06-26T05:15:39.2667258Z [ RUN ] OpSliceCopyTensorOutTest.LegalDimSupported 2024-06-26T05:15:39.2667606Z [ OK ] OpSliceCopyTensorOutTest.LegalDimSupported (0 ms) 2024-06-26T05:15:39.2667962Z [ RUN ] OpSliceCopyTensorOutTest.AllStartValsSupported 2024-06-26T05:15:39.2668334Z [ OK ] OpSliceCopyTensorOutTest.AllStartValsSupported (0 ms) 2024-06-26T05:15:39.2668672Z [ RUN ] OpSliceCopyTensorOutTest.AllEndValsSupported 2024-06-26T05:15:39.2669025Z [ OK ] OpSliceCopyTensorOutTest.AllEndValsSupported (0 ms) 2024-06-26T05:15:39.2669357Z [ RUN ] OpSliceCopyTensorOutTest.LegalStepsSupported 2024-06-26T05:15:39.2669728Z [ OK ] OpSliceCopyTensorOutTest.LegalStepsSupported (0 ms) 2024-06-26T05:15:39.2670050Z [ RUN ] OpSliceCopyTensorOutTest.AllDtypesSupported 2024-06-26T05:15:39.2670402Z [ OK ] OpSliceCopyTensorOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.2670742Z [ RUN ] OpSliceCopyTensorOutTest.EmptyInputSupported 2024-06-26T05:15:39.2671103Z [ OK ] OpSliceCopyTensorOutTest.EmptyInputSupported (0 ms) 2024-06-26T05:15:39.2671459Z [ RUN ] OpSliceCopyTensorOutTest.EmptySizeInputDies 2024-06-26T05:15:39.2671826Z [ OK ] OpSliceCopyTensorOutTest.EmptySizeInputDies (0 ms) 2024-06-26T05:15:39.2672154Z [ RUN ] OpSliceCopyTensorOutTest.NonPostiveStepsDies 2024-06-26T05:15:39.2672526Z [ OK ] OpSliceCopyTensorOutTest.NonPostiveStepsDies (0 ms) 2024-06-26T05:15:39.2672840Z [ RUN ] OpSliceCopyTensorOutTest.DimOutOfBoundDies 2024-06-26T05:15:39.2673188Z [ OK ] OpSliceCopyTensorOutTest.DimOutOfBoundDies (0 ms) 2024-06-26T05:15:39.2673531Z [ RUN ] OpSliceCopyTensorOutTest.MismatchedDtypesDies 2024-06-26T05:15:39.2673899Z [ OK ] OpSliceCopyTensorOutTest.MismatchedDtypesDies (0 ms) 2024-06-26T05:15:39.2674247Z [ RUN ] OpSliceCopyTensorOutTest.OutSizeMismatchDimDies 2024-06-26T05:15:39.2674668Z [ OK ] OpSliceCopyTensorOutTest.OutSizeMismatchDimDies (0 ms) 2024-06-26T05:15:39.2675033Z [ RUN ] OpSliceCopyTensorOutTest.DefaultStartValSupported 2024-06-26T05:15:39.2675443Z [ OK ] OpSliceCopyTensorOutTest.DefaultStartValSupported (0 ms) 2024-06-26T05:15:39.2675793Z [ RUN ] OpSliceCopyTensorOutTest.DefaultEndValSupported 2024-06-26T05:15:39.2676175Z [ OK ] OpSliceCopyTensorOutTest.DefaultEndValSupported (0 ms) 2024-06-26T05:15:39.2676642Z [ RUN ] OpSliceCopyTensorOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2677146Z [ OK ] OpSliceCopyTensorOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2677632Z [ RUN ] OpSliceCopyTensorOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2677976Z /executorch/kernels/test/op_slice_copy_test.cpp:634: Skipped 2024-06-26T05:15:39.2678101Z Dynamic shape not supported 2024-06-26T05:15:39.2678669Z [ SKIPPED ] OpSliceCopyTensorOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2679014Z [ RUN ] OpSliceCopyTensorOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2679248Z /executorch/kernels/test/op_slice_copy_test.cpp:679: Skipped 2024-06-26T05:15:39.2679383Z Dynamic shape not supported 2024-06-26T05:15:39.2679770Z [ SKIPPED ] OpSliceCopyTensorOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2680091Z [----------] 16 tests from OpSliceCopyTensorOutTest (0 ms total) 2024-06-26T05:15:39.2680096Z 2024-06-26T05:15:39.2680374Z [----------] 10 tests from OpSoftmaxOutTest 2024-06-26T05:15:39.2680576Z [ RUN ] OpSoftmaxOutTest.Smoke 2024-06-26T05:15:39.2680804Z [ OK ] OpSoftmaxOutTest.Smoke (0 ms) 2024-06-26T05:15:39.2681048Z [ RUN ] OpSoftmaxOutTest.HalfSupport 2024-06-26T05:15:39.2681303Z [ OK ] OpSoftmaxOutTest.HalfSupport (0 ms) 2024-06-26T05:15:39.2681607Z [ RUN ] OpSoftmaxOutTest.AllDtypesSupported 2024-06-26T05:15:39.2681917Z [ OK ] OpSoftmaxOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.2682228Z [ RUN ] OpSoftmaxOutTest.MismatchedDimensionsDies 2024-06-26T05:15:39.2682580Z [ OK ] OpSoftmaxOutTest.MismatchedDimensionsDies (0 ms) 2024-06-26T05:15:39.2682905Z [ RUN ] OpSoftmaxOutTest.MismatchedDimensionSizeDies 2024-06-26T05:15:39.2683257Z [ OK ] OpSoftmaxOutTest.MismatchedDimensionSizeDies (0 ms) 2024-06-26T05:15:39.2683501Z [ RUN ] OpSoftmaxOutTest.NegativeDim 2024-06-26T05:15:39.2683754Z [ OK ] OpSoftmaxOutTest.NegativeDim (0 ms) 2024-06-26T05:15:39.2684029Z [ RUN ] OpSoftmaxOutTest.SimpleGeneratedCase 2024-06-26T05:15:39.2684340Z [ OK ] OpSoftmaxOutTest.SimpleGeneratedCase (0 ms) 2024-06-26T05:15:39.2684729Z [ RUN ] OpSoftmaxOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2685165Z [ OK ] OpSoftmaxOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2685641Z [ RUN ] OpSoftmaxOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2686103Z [ OK ] OpSoftmaxOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2686392Z [ RUN ] OpSoftmaxOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2686610Z /executorch/kernels/test/op_softmax_test.cpp:297: Skipped 2024-06-26T05:15:39.2686743Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2687079Z [ SKIPPED ] OpSoftmaxOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2687350Z [----------] 10 tests from OpSoftmaxOutTest (0 ms total) 2024-06-26T05:15:39.2687356Z 2024-06-26T05:15:39.2687617Z [----------] 16 tests from OpSplitCopyTensorOutTest 2024-06-26T05:15:39.2687945Z [ RUN ] OpSplitCopyTensorOutTest.Split3x3x3OnDim0 2024-06-26T05:15:39.2688287Z [ OK ] OpSplitCopyTensorOutTest.Split3x3x3OnDim0 (0 ms) 2024-06-26T05:15:39.2688647Z [ RUN ] OpSplitCopyTensorOutTest.Split3x3x3OnDim1 2024-06-26T05:15:39.2688987Z [ OK ] OpSplitCopyTensorOutTest.Split3x3x3OnDim1 (0 ms) 2024-06-26T05:15:39.2689296Z [ RUN ] OpSplitCopyTensorOutTest.Split3x3x3OnDim2 2024-06-26T05:15:39.2689640Z [ OK ] OpSplitCopyTensorOutTest.Split3x3x3OnDim2 (0 ms) 2024-06-26T05:15:39.2690015Z [ RUN ] OpSplitCopyTensorOutTest.LargerSplitSizeDoesNothing 2024-06-26T05:15:39.2690427Z [ OK ] OpSplitCopyTensorOutTest.LargerSplitSizeDoesNothing (0 ms) 2024-06-26T05:15:39.2690764Z [ RUN ] OpSplitCopyTensorOutTest.AllDtypesSupported 2024-06-26T05:15:39.2691120Z [ OK ] OpSplitCopyTensorOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.2691433Z [ RUN ] OpSplitCopyTensorOutTest.EmptyInputTensor 2024-06-26T05:15:39.2691784Z [ OK ] OpSplitCopyTensorOutTest.EmptyInputTensor (0 ms) 2024-06-26T05:15:39.2692191Z [ RUN ] OpSplitCopyTensorOutTest.ZeroDimensionalInputTensorDies 2024-06-26T05:15:39.2692644Z [ OK ] OpSplitCopyTensorOutTest.ZeroDimensionalInputTensorDies (0 ms) 2024-06-26T05:15:39.2693098Z [ RUN ] OpSplitCopyTensorOutTest.ZeroSplitSizeOnlyWorksForZeroSizeDims 2024-06-26T05:15:39.2693609Z [ OK ] OpSplitCopyTensorOutTest.ZeroSplitSizeOnlyWorksForZeroSizeDims (0 ms) 2024-06-26T05:15:39.2693972Z [ RUN ] OpSplitCopyTensorOutTest.NegativeSplitSizeFails 2024-06-26T05:15:39.2694378Z [ OK ] OpSplitCopyTensorOutTest.NegativeSplitSizeFails (0 ms) 2024-06-26T05:15:39.2694697Z [ RUN ] OpSplitCopyTensorOutTest.OutOfRangeDimsDie 2024-06-26T05:15:39.2695056Z [ OK ] OpSplitCopyTensorOutTest.OutOfRangeDimsDie (0 ms) 2024-06-26T05:15:39.2695371Z [ RUN ] OpSplitCopyTensorOutTest.DtypeMismatchDies 2024-06-26T05:15:39.2695679Z /executorch/kernels/test/op_split_copy_test.cpp:405: Skipped 2024-06-26T05:15:39.2695815Z ATen kernel can handle dtype mismatch 2024-06-26T05:15:39.2696192Z [ SKIPPED ] OpSplitCopyTensorOutTest.DtypeMismatchDies (0 ms) 2024-06-26T05:15:39.2696573Z [ RUN ] OpSplitCopyTensorOutTest.WrongNumOutputEntriesDies 2024-06-26T05:15:39.2696979Z [ OK ] OpSplitCopyTensorOutTest.WrongNumOutputEntriesDies (0 ms) 2024-06-26T05:15:39.2697320Z [ RUN ] OpSplitCopyTensorOutTest.WrongOutputShapeDies 2024-06-26T05:15:39.2697702Z [ OK ] OpSplitCopyTensorOutTest.WrongOutputShapeDies (0 ms) 2024-06-26T05:15:39.2698156Z [ RUN ] OpSplitCopyTensorOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2698655Z [ OK ] OpSplitCopyTensorOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2699154Z [ RUN ] OpSplitCopyTensorOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2699393Z /executorch/kernels/test/op_split_copy_test.cpp:567: Skipped 2024-06-26T05:15:39.2699529Z Dynamic shape not supported 2024-06-26T05:15:39.2700213Z [ SKIPPED ] OpSplitCopyTensorOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2700552Z [ RUN ] OpSplitCopyTensorOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2700793Z /executorch/kernels/test/op_split_copy_test.cpp:573: Skipped 2024-06-26T05:15:39.2700914Z Dynamic shape not supported 2024-06-26T05:15:39.2701298Z [ SKIPPED ] OpSplitCopyTensorOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2701638Z [----------] 16 tests from OpSplitCopyTensorOutTest (1 ms total) 2024-06-26T05:15:39.2701645Z 2024-06-26T05:15:39.2701918Z [----------] 2 tests from OpSplitWithSizesCopyOutTest 2024-06-26T05:15:39.2702243Z [ RUN ] OpSplitWithSizesCopyOutTest.SanityCheckDim1 2024-06-26T05:15:39.2702612Z [ OK ] OpSplitWithSizesCopyOutTest.SanityCheckDim1 (0 ms) 2024-06-26T05:15:39.2702950Z [ RUN ] OpSplitWithSizesCopyOutTest.DynamicShape 2024-06-26T05:15:39.2703301Z [ OK ] OpSplitWithSizesCopyOutTest.DynamicShape (0 ms) 2024-06-26T05:15:39.2703636Z [----------] 2 tests from OpSplitWithSizesCopyOutTest (0 ms total) 2024-06-26T05:15:39.2703642Z 2024-06-26T05:15:39.2703830Z [----------] 3 tests from OpSqrtTest 2024-06-26T05:15:39.2704040Z [ RUN ] OpSqrtTest.SanityCheck 2024-06-26T05:15:39.2704268Z [ OK ] OpSqrtTest.SanityCheck (0 ms) 2024-06-26T05:15:39.2704489Z [ RUN ] OpSqrtTest.HandleBoolInput 2024-06-26T05:15:39.2704746Z [ OK ] OpSqrtTest.HandleBoolInput (0 ms) 2024-06-26T05:15:39.2704961Z [ RUN ] OpSqrtTest.HandleHalfInput 2024-06-26T05:15:39.2705201Z [ OK ] OpSqrtTest.HandleHalfInput (0 ms) 2024-06-26T05:15:39.2705460Z [----------] 3 tests from OpSqrtTest (0 ms total) 2024-06-26T05:15:39.2705468Z 2024-06-26T05:15:39.2705672Z [----------] 16 tests from OpSqueezeTest 2024-06-26T05:15:39.2705935Z [ RUN ] OpSqueezeTest.DTypesMismatchDies 2024-06-26T05:15:39.2706219Z [ OK ] OpSqueezeTest.DTypesMismatchDies (0 ms) 2024-06-26T05:15:39.2706453Z [ RUN ] OpSqueezeTest.0DTensorSqueeze 2024-06-26T05:15:39.2706721Z [ OK ] OpSqueezeTest.0DTensorSqueeze (0 ms) 2024-06-26T05:15:39.2707046Z [ RUN ] OpSqueezeTest.0DTensorSqueezeInvalidDim1Dies 2024-06-26T05:15:39.2707401Z [ OK ] OpSqueezeTest.0DTensorSqueezeInvalidDim1Dies (0 ms) 2024-06-26T05:15:39.2707701Z [ RUN ] OpSqueezeTest.1DTensorSqueezeTo0D 2024-06-26T05:15:39.2707987Z [ OK ] OpSqueezeTest.1DTensorSqueezeTo0D (0 ms) 2024-06-26T05:15:39.2708265Z [ RUN ] OpSqueezeTest.2DTensorSqueezeUnchange 2024-06-26T05:15:39.2708580Z [ OK ] OpSqueezeTest.2DTensorSqueezeUnchange (0 ms) 2024-06-26T05:15:39.2708868Z [ RUN ] OpSqueezeTest.2DTensorSqueezeTo1D 2024-06-26T05:15:39.2709163Z [ OK ] OpSqueezeTest.2DTensorSqueezeTo1D (0 ms) 2024-06-26T05:15:39.2709524Z [ RUN ] OpSqueezeTest.2DTensorSqueezeDownwardDimResizeOut 2024-06-26T05:15:39.2709913Z [ OK ] OpSqueezeTest.2DTensorSqueezeDownwardDimResizeOut (0 ms) 2024-06-26T05:15:39.2710287Z [ RUN ] OpSqueezeTest.2DTensorSqueezeUpwardDimResizeOutDie 2024-06-26T05:15:39.2710690Z [ OK ] OpSqueezeTest.2DTensorSqueezeUpwardDimResizeOutDie (0 ms) 2024-06-26T05:15:39.2711060Z [ RUN ] OpSqueezeTest.2DTensorSqueezeRemoveADimResizeOutDie 2024-06-26T05:15:39.2711485Z [ OK ] OpSqueezeTest.2DTensorSqueezeRemoveADimResizeOutDie (0 ms) 2024-06-26T05:15:39.2711833Z [ RUN ] OpSqueezeTest.2DTensorSqueezeAddDimsResizeOutDie 2024-06-26T05:15:39.2712227Z [ OK ] OpSqueezeTest.2DTensorSqueezeAddDimsResizeOutDie (0 ms) 2024-06-26T05:15:39.2712452Z [ RUN ] OpSqueezeTest.TensorSqueeze 2024-06-26T05:15:39.2712701Z [ OK ] OpSqueezeTest.TensorSqueeze (0 ms) 2024-06-26T05:15:39.2713043Z [ RUN ] OpSqueezeTest.TensorSqueezeNegativeDim 2024-06-26T05:15:39.2713355Z [ OK ] OpSqueezeTest.TensorSqueezeNegativeDim (0 ms) 2024-06-26T05:15:39.2713629Z [ RUN ] OpSqueezeTest.TensorSqueezeInvaidDim 2024-06-26T05:15:39.2713941Z [ OK ] OpSqueezeTest.TensorSqueezeInvaidDim (0 ms) 2024-06-26T05:15:39.2714305Z [ RUN ] OpSqueezeTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2714717Z [ OK ] OpSqueezeTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2715120Z [ RUN ] OpSqueezeTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2715364Z /executorch/kernels/test/op_squeeze_copy_test.cpp:250: Skipped 2024-06-26T05:15:39.2715498Z Dynamic shape not supported 2024-06-26T05:15:39.2715966Z [ SKIPPED ] OpSqueezeTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2716255Z [ RUN ] OpSqueezeTest.DynamicShapeUnbound 2024-06-26T05:15:39.2716514Z /executorch/kernels/test/op_squeeze_copy_test.cpp:287: Skipped 2024-06-26T05:15:39.2716633Z Dynamic shape not supported 2024-06-26T05:15:39.2716940Z [ SKIPPED ] OpSqueezeTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2717211Z [----------] 16 tests from OpSqueezeTest (0 ms total) 2024-06-26T05:15:39.2717216Z 2024-06-26T05:15:39.2717473Z [----------] 3 tests from OpSqueezeCopyDimsOutTest 2024-06-26T05:15:39.2717759Z [ RUN ] OpSqueezeCopyDimsOutTest.SanityTest4D 2024-06-26T05:15:39.2718230Z [ OK ] OpSqueezeCopyDimsOutTest.SanityTest4D (0 ms) 2024-06-26T05:15:39.2718520Z [ RUN ] OpSqueezeCopyDimsOutTest.SanityCheck5D 2024-06-26T05:15:39.2718852Z [ OK ] OpSqueezeCopyDimsOutTest.SanityCheck5D (0 ms) 2024-06-26T05:15:39.2719204Z [ RUN ] OpSqueezeCopyDimsOutTest.SanityCheck5DUnchanged 2024-06-26T05:15:39.2719585Z [ OK ] OpSqueezeCopyDimsOutTest.SanityCheck5DUnchanged (0 ms) 2024-06-26T05:15:39.2719914Z [----------] 3 tests from OpSqueezeCopyDimsOutTest (0 ms total) 2024-06-26T05:15:39.2719921Z 2024-06-26T05:15:39.2720132Z [----------] 14 tests from OpStackOutTest 2024-06-26T05:15:39.2720350Z [ RUN ] OpStackOutTest.InsertFront 2024-06-26T05:15:39.2720608Z [ OK ] OpStackOutTest.InsertFront (0 ms) 2024-06-26T05:15:39.2720828Z [ RUN ] OpStackOutTest.InsertMiddle 2024-06-26T05:15:39.2721123Z [ OK ] OpStackOutTest.InsertMiddle (0 ms) 2024-06-26T05:15:39.2721347Z [ RUN ] OpStackOutTest.InsertEnd 2024-06-26T05:15:39.2721581Z [ OK ] OpStackOutTest.InsertEnd (0 ms) 2024-06-26T05:15:39.2721855Z [ RUN ] OpStackOutTest.AllDtypesSupported 2024-06-26T05:15:39.2722180Z [ OK ] OpStackOutTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.2722558Z [ RUN ] OpStackOutTest.NoInputTensorsWithEmptyOutTensorFails 2024-06-26T05:15:39.2722996Z [ OK ] OpStackOutTest.NoInputTensorsWithEmptyOutTensorFails (0 ms) 2024-06-26T05:15:39.2723264Z [ RUN ] OpStackOutTest.AllEmptyInputTensors 2024-06-26T05:15:39.2723557Z [ OK ] OpStackOutTest.AllEmptyInputTensors (0 ms) 2024-06-26T05:15:39.2723818Z [ RUN ] OpStackOutTest.DimOutOfBoundDies 2024-06-26T05:15:39.2724095Z [ OK ] OpStackOutTest.DimOutOfBoundDies (0 ms) 2024-06-26T05:15:39.2724365Z [ RUN ] OpStackOutTest.MismatchedDtypesDies 2024-06-26T05:15:39.2724671Z [ OK ] OpStackOutTest.MismatchedDtypesDies (0 ms) 2024-06-26T05:15:39.2725029Z [ RUN ] OpStackOutTest.OutMatchNumelWithExtraDimAtEndDies 2024-06-26T05:15:39.2725433Z [ OK ] OpStackOutTest.OutMatchNumelWithExtraDimAtEndDies (0 ms) 2024-06-26T05:15:39.2725772Z [ RUN ] OpStackOutTest.OutMatchNumelLackDimAtFrontDies 2024-06-26T05:15:39.2726145Z [ OK ] OpStackOutTest.OutMatchNumelLackDimAtFrontDies (0 ms) 2024-06-26T05:15:39.2726495Z [ RUN ] OpStackOutTest.OutRegularMismatchDimDies 2024-06-26T05:15:39.2726821Z [ OK ] OpStackOutTest.OutRegularMismatchDimDies (0 ms) 2024-06-26T05:15:39.2727191Z [ RUN ] OpStackOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2727619Z [ OK ] OpStackOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2728026Z [ RUN ] OpStackOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2728231Z /executorch/kernels/test/op_stack_test.cpp:441: Skipped 2024-06-26T05:15:39.2728367Z Dynamic shape not supported 2024-06-26T05:15:39.2728838Z [ SKIPPED ] OpStackOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2729118Z [ RUN ] OpStackOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2729358Z /executorch/kernels/test/op_stack_test.cpp:466: Skipped 2024-06-26T05:15:39.2729478Z Dynamic shape not supported 2024-06-26T05:15:39.2729807Z [ SKIPPED ] OpStackOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2730072Z [----------] 14 tests from OpStackOutTest (0 ms total) 2024-06-26T05:15:39.2730078Z 2024-06-26T05:15:39.2730280Z [----------] 20 tests from OpSubOutTest 2024-06-26T05:15:39.2730563Z [ RUN ] OpSubOutTest.AllRealDtypesSupported 2024-06-26T05:15:39.2730863Z [ OK ] OpSubOutTest.AllRealDtypesSupported (3 ms) 2024-06-26T05:15:39.2731077Z [ RUN ] OpSubOutTest.FloatTensors 2024-06-26T05:15:39.2731329Z [ OK ] OpSubOutTest.FloatTensors (0 ms) 2024-06-26T05:15:39.2731548Z [ RUN ] OpSubOutTest.DoubleTensors 2024-06-26T05:15:39.2731805Z [ OK ] OpSubOutTest.DoubleTensors (0 ms) 2024-06-26T05:15:39.2732050Z [ RUN ] OpSubOutTest.BroadcastSupported 2024-06-26T05:15:39.2732326Z [ OK ] OpSubOutTest.BroadcastSupported (0 ms) 2024-06-26T05:15:39.2732589Z [ RUN ] OpSubOutTest.BroadcastSupported2 2024-06-26T05:15:39.2732868Z [ OK ] OpSubOutTest.BroadcastSupported2 (0 ms) 2024-06-26T05:15:39.2733154Z [ RUN ] OpSubOutTest.BroadcastScalarSupported1 2024-06-26T05:15:39.2733481Z [ OK ] OpSubOutTest.BroadcastScalarSupported1 (0 ms) 2024-06-26T05:15:39.2733765Z [ RUN ] OpSubOutTest.BroadcastScalarSupported2 2024-06-26T05:15:39.2734110Z [ OK ] OpSubOutTest.BroadcastScalarSupported2 (0 ms) 2024-06-26T05:15:39.2734397Z [ RUN ] OpSubOutTest.IntTensorFloatAlphaDies 2024-06-26T05:15:39.2734699Z [ OK ] OpSubOutTest.IntTensorFloatAlphaDies (0 ms) 2024-06-26T05:15:39.2734970Z [ RUN ] OpSubOutTest.BoolInputTensorsFail 2024-06-26T05:15:39.2735289Z [ OK ] OpSubOutTest.BoolInputTensorsFail (0 ms) 2024-06-26T05:15:39.2735591Z [ RUN ] OpSubOutTest.IntOutputWithFloatInputDies 2024-06-26T05:15:39.2735935Z [ OK ] OpSubOutTest.IntOutputWithFloatInputDies (0 ms) 2024-06-26T05:15:39.2736233Z [ RUN ] OpSubOutTest.BoolOutputWithIntegralInput 2024-06-26T05:15:39.2736560Z [ OK ] OpSubOutTest.BoolOutputWithIntegralInput (0 ms) 2024-06-26T05:15:39.2736857Z [ RUN ] OpSubOutTest.MismatchedInputShapesDies 2024-06-26T05:15:39.2737173Z [ OK ] OpSubOutTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.2737467Z [ RUN ] OpSubOutTest.MismatchedOutputShapesDies 2024-06-26T05:15:39.2737803Z [ OK ] OpSubOutTest.MismatchedOutputShapesDies (0 ms) 2024-06-26T05:15:39.2738075Z [ RUN ] OpSubOutTest.BroadcastDimSizeIsOneAB 2024-06-26T05:15:39.2738387Z [ OK ] OpSubOutTest.BroadcastDimSizeIsOneAB (0 ms) 2024-06-26T05:15:39.2738673Z [ RUN ] OpSubOutTest.BroadcastDimSizeMissingAB 2024-06-26T05:15:39.2738986Z [ OK ] OpSubOutTest.BroadcastDimSizeMissingAB (0 ms) 2024-06-26T05:15:39.2739303Z [ RUN ] OpSubOutTest.BroadcastDimSizeIsOneBA 2024-06-26T05:15:39.2739603Z [ OK ] OpSubOutTest.BroadcastDimSizeIsOneBA (0 ms) 2024-06-26T05:15:39.2739996Z [ RUN ] OpSubOutTest.BroadcastDimSizeMissingBA 2024-06-26T05:15:39.2740321Z [ OK ] OpSubOutTest.BroadcastDimSizeMissingBA (0 ms) 2024-06-26T05:15:39.2740681Z [ RUN ] OpSubOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2741085Z [ OK ] OpSubOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2741486Z [ RUN ] OpSubOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2741914Z [ OK ] OpSubOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2742174Z [ RUN ] OpSubOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2742369Z /executorch/kernels/test/op_sub_test.cpp:478: Skipped 2024-06-26T05:15:39.2742527Z Dynamic shape not supported 2024-06-26T05:15:39.2742844Z [ SKIPPED ] OpSubOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2743102Z [----------] 20 tests from OpSubOutTest (4 ms total) 2024-06-26T05:15:39.2743108Z 2024-06-26T05:15:39.2743333Z [----------] 3 tests from OpSubScalarOutTest 2024-06-26T05:15:39.2743585Z [ RUN ] OpSubScalarOutTest.SanityCheck 2024-06-26T05:15:39.2743853Z [ OK ] OpSubScalarOutTest.SanityCheck (0 ms) 2024-06-26T05:15:39.2744148Z [ RUN ] OpSubScalarOutTest.OptimizedSanityCheck 2024-06-26T05:15:39.2744485Z [ OK ] OpSubScalarOutTest.OptimizedSanityCheck (0 ms) 2024-06-26T05:15:39.2744830Z [ RUN ] OpSubScalarOutTest.DtypeTest_float16_float_int_float16 2024-06-26T05:15:39.2745225Z [ OK ] OpSubScalarOutTest.DtypeTest_float16_float_int_float16 (0 ms) 2024-06-26T05:15:39.2745510Z [----------] 3 tests from OpSubScalarOutTest (0 ms total) 2024-06-26T05:15:39.2745518Z 2024-06-26T05:15:39.2745717Z [----------] 6 tests from OpSumOutTest 2024-06-26T05:15:39.2746011Z [ RUN ] OpSumOutTest.InvalidDimensionListDies 2024-06-26T05:15:39.2746313Z [ OK ] OpSumOutTest.InvalidDimensionListDies (0 ms) 2024-06-26T05:15:39.2746549Z [ RUN ] OpSumOutTest.InvalidShapeDies 2024-06-26T05:15:39.2746820Z [ OK ] OpSumOutTest.InvalidShapeDies (0 ms) 2024-06-26T05:15:39.2747108Z [ RUN ] OpSumOutTest.MismatchedDTypesDies 2024-06-26T05:15:39.2747396Z [ OK ] OpSumOutTest.MismatchedDTypesDies (0 ms) 2024-06-26T05:15:39.2747715Z [ RUN ] OpSumOutTest.AllRealInputRealOutputPasses 2024-06-26T05:15:39.2748047Z [ OK ] OpSumOutTest.AllRealInputRealOutputPasses (4 ms) 2024-06-26T05:15:39.2748302Z [ RUN ] OpSumOutTest.TypeConversionTest 2024-06-26T05:15:39.2748607Z [ OK ] OpSumOutTest.TypeConversionTest (0 ms) 2024-06-26T05:15:39.2748849Z [ RUN ] OpSumOutTest.InfinityAndNANTest 2024-06-26T05:15:39.2749135Z [ OK ] OpSumOutTest.InfinityAndNANTest (0 ms) 2024-06-26T05:15:39.2749387Z [----------] 6 tests from OpSumOutTest (5 ms total) 2024-06-26T05:15:39.2749392Z 2024-06-26T05:15:39.2749587Z [----------] 8 tests from OpTCopyTest 2024-06-26T05:15:39.2749801Z [ RUN ] OpTCopyTest.1DTranspose 2024-06-26T05:15:39.2750032Z [ OK ] OpTCopyTest.1DTranspose (0 ms) 2024-06-26T05:15:39.2750326Z [ RUN ] OpTCopyTest.1DTransposeMismatchShapeDie 2024-06-26T05:15:39.2750660Z [ OK ] OpTCopyTest.1DTransposeMismatchShapeDie (0 ms) 2024-06-26T05:15:39.2750859Z [ RUN ] OpTCopyTest.2DTranspose 2024-06-26T05:15:39.2751101Z [ OK ] OpTCopyTest.2DTranspose (0 ms) 2024-06-26T05:15:39.2751394Z [ RUN ] OpTCopyTest.2DTransposeMismatchShapeDie 2024-06-26T05:15:39.2751715Z [ OK ] OpTCopyTest.2DTransposeMismatchShapeDie (0 ms) 2024-06-26T05:15:39.2751978Z [ RUN ] OpTCopyTest.3DTransposeDie 2024-06-26T05:15:39.2752224Z [ OK ] OpTCopyTest.3DTransposeDie (0 ms) 2024-06-26T05:15:39.2752575Z [ RUN ] OpTCopyTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2752982Z [ OK ] OpTCopyTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2753361Z [ RUN ] OpTCopyTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2753581Z /executorch/kernels/test/op_t_copy_test.cpp:126: Skipped 2024-06-26T05:15:39.2753711Z Dynamic shape not supported 2024-06-26T05:15:39.2754158Z [ SKIPPED ] OpTCopyTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2754415Z [ RUN ] OpTCopyTest.DynamicShapeUnbound 2024-06-26T05:15:39.2754631Z /executorch/kernels/test/op_t_copy_test.cpp:159: Skipped 2024-06-26T05:15:39.2754751Z Dynamic shape not supported 2024-06-26T05:15:39.2755086Z [ SKIPPED ] OpTCopyTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2755342Z [----------] 8 tests from OpTCopyTest (0 ms total) 2024-06-26T05:15:39.2755348Z 2024-06-26T05:15:39.2755549Z [----------] 11 tests from OpTanOutTest 2024-06-26T05:15:39.2755792Z [ RUN ] OpTanOutTest.HandleBoolInput 2024-06-26T05:15:39.2756048Z [ OK ] OpTanOutTest.HandleBoolInput (0 ms) 2024-06-26T05:15:39.2756462Z [ RUN ] OpTanOutTest.AllRealInputHalfOutputStaticDynamismSupport 2024-06-26T05:15:39.2756927Z [ OK ] OpTanOutTest.AllRealInputHalfOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.2757345Z [ RUN ] OpTanOutTest.AllRealInputFloatOutputStaticDynamismSupport 2024-06-26T05:15:39.2757822Z [ OK ] OpTanOutTest.AllRealInputFloatOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.2758356Z [ RUN ] OpTanOutTest.AllRealInputDoubleOutputStaticDynamismSupport 2024-06-26T05:15:39.2758831Z [ OK ] OpTanOutTest.AllRealInputDoubleOutputStaticDynamismSupport (0 ms) 2024-06-26T05:15:39.2759244Z [ RUN ] OpTanOutTest.AllRealInputHalfOutputBoundDynamismSupport 2024-06-26T05:15:39.2759689Z [ OK ] OpTanOutTest.AllRealInputHalfOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.2760102Z [ RUN ] OpTanOutTest.AllRealInputFloatOutputBoundDynamismSupport 2024-06-26T05:15:39.2760621Z [ OK ] OpTanOutTest.AllRealInputFloatOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.2761049Z [ RUN ] OpTanOutTest.AllRealInputDoubleOutputBoundDynamismSupport 2024-06-26T05:15:39.2761530Z [ OK ] OpTanOutTest.AllRealInputDoubleOutputBoundDynamismSupport (0 ms) 2024-06-26T05:15:39.2761961Z [ RUN ] OpTanOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.2762194Z /executorch/kernels/test/op_tan_test.cpp:132: Skipped 2024-06-26T05:15:39.2762341Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2762846Z [ SKIPPED ] OpTanOutTest.AllRealInputFloatOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.2763287Z [ RUN ] OpTanOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.2763489Z /executorch/kernels/test/op_tan_test.cpp:143: Skipped 2024-06-26T05:15:39.2763621Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2764131Z [ SKIPPED ] OpTanOutTest.AllRealInputDoubleOutputUnboundDynamismSupport (0 ms) 2024-06-26T05:15:39.2764440Z [ RUN ] OpTanOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.2764763Z [ OK ] OpTanOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.2765061Z [ RUN ] OpTanOutTest.MismatchedInputShapesDies 2024-06-26T05:15:39.2765378Z [ OK ] OpTanOutTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.2765639Z [----------] 11 tests from OpTanOutTest (1 ms total) 2024-06-26T05:15:39.2765645Z 2024-06-26T05:15:39.2765863Z [----------] 10 tests from OpTanhOutTest 2024-06-26T05:15:39.2766140Z [ RUN ] OpTanhOutTest.HandleBoolInput 2024-06-26T05:15:39.2766402Z [ OK ] OpTanhOutTest.HandleBoolInput (0 ms) 2024-06-26T05:15:39.2766731Z [ RUN ] OpTanhOutTest.AllRealInputHalfOutputSupport 2024-06-26T05:15:39.2767083Z [ OK ] OpTanhOutTest.AllRealInputHalfOutputSupport (0 ms) 2024-06-26T05:15:39.2767408Z [ RUN ] OpTanhOutTest.AllRealInputFloatOutputSupport 2024-06-26T05:15:39.2767780Z [ OK ] OpTanhOutTest.AllRealInputFloatOutputSupport (0 ms) 2024-06-26T05:15:39.2768107Z [ RUN ] OpTanhOutTest.AllRealInputDoubleOutputSupport 2024-06-26T05:15:39.2768482Z [ OK ] OpTanhOutTest.AllRealInputDoubleOutputSupport (0 ms) 2024-06-26T05:15:39.2768780Z [ RUN ] OpTanhOutTest.AllNonFloatOutputDTypeDies 2024-06-26T05:15:39.2769111Z [ OK ] OpTanhOutTest.AllNonFloatOutputDTypeDies (0 ms) 2024-06-26T05:15:39.2769447Z [ RUN ] OpTanhOutTest.MismatchedInputShapesDies 2024-06-26T05:15:39.2769774Z [ OK ] OpTanhOutTest.MismatchedInputShapesDies (0 ms) 2024-06-26T05:15:39.2770034Z [ RUN ] OpTanhOutTest.SimpleGeneratedCase 2024-06-26T05:15:39.2770332Z [ OK ] OpTanhOutTest.SimpleGeneratedCase (0 ms) 2024-06-26T05:15:39.2770699Z [ RUN ] OpTanhOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2771115Z [ OK ] OpTanhOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2771521Z [ RUN ] OpTanhOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2771960Z [ OK ] OpTanhOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2772233Z [ RUN ] OpTanhOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2772437Z /executorch/kernels/test/op_tanh_test.cpp:236: Skipped 2024-06-26T05:15:39.2772573Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2772894Z [ SKIPPED ] OpTanhOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2773155Z [----------] 10 tests from OpTanhOutTest (0 ms total) 2024-06-26T05:15:39.2773161Z 2024-06-26T05:15:39.2773345Z [----------] 10 tests from OpToTest 2024-06-26T05:15:39.2773581Z [ RUN ] OpToTest.AllDtypesSupported 2024-06-26T05:15:39.2773833Z [ OK ] OpToTest.AllDtypesSupported (1 ms) 2024-06-26T05:15:39.2774051Z [ RUN ] OpToTest.BoolTests 2024-06-26T05:15:39.2774260Z [ OK ] OpToTest.BoolTests (0 ms) 2024-06-26T05:15:39.2774467Z [ RUN ] OpToTest.NanInfSupported 2024-06-26T05:15:39.2774715Z [ OK ] OpToTest.NanInfSupported (0 ms) 2024-06-26T05:15:39.2774965Z [ RUN ] OpToTest.HardcodeFloatConvertInt 2024-06-26T05:15:39.2775275Z [ OK ] OpToTest.HardcodeFloatConvertInt (0 ms) 2024-06-26T05:15:39.2775509Z [ RUN ] OpToTest.MismatchedSizesDie 2024-06-26T05:15:39.2775757Z [ OK ] OpToTest.MismatchedSizesDie (0 ms) 2024-06-26T05:15:39.2776027Z [ RUN ] OpToTest.MismatchedMemoryFormatDies 2024-06-26T05:15:39.2776333Z [ OK ] OpToTest.MismatchedMemoryFormatDies (0 ms) 2024-06-26T05:15:39.2776571Z [ RUN ] OpToTest.MismatchedBlockingDie 2024-06-26T05:15:39.2776838Z [ OK ] OpToTest.MismatchedBlockingDie (0 ms) 2024-06-26T05:15:39.2777183Z [ RUN ] OpToTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2777555Z [ OK ] OpToTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2777925Z [ RUN ] OpToTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2778324Z [ OK ] OpToTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2778554Z [ RUN ] OpToTest.DynamicShapeUnbound 2024-06-26T05:15:39.2778788Z /executorch/kernels/test/op_to_copy_test.cpp:493: Skipped 2024-06-26T05:15:39.2778925Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2779232Z [ SKIPPED ] OpToTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2779484Z [----------] 10 tests from OpToTest (2 ms total) 2024-06-26T05:15:39.2779489Z 2024-06-26T05:15:39.2779823Z [----------] 9 tests from OpTransposeIntCopyTest 2024-06-26T05:15:39.2780106Z [ RUN ] OpTransposeIntCopyTest.TwoDTranspose 2024-06-26T05:15:39.2780428Z [ OK ] OpTransposeIntCopyTest.TwoDTranspose (0 ms) 2024-06-26T05:15:39.2780743Z [ RUN ] OpTransposeIntCopyTest.TwoDNegativeIndices 2024-06-26T05:15:39.2781103Z [ OK ] OpTransposeIntCopyTest.TwoDNegativeIndices (0 ms) 2024-06-26T05:15:39.2781431Z [ RUN ] OpTransposeIntCopyTest.TransposeNoDatachange 2024-06-26T05:15:39.2781794Z [ OK ] OpTransposeIntCopyTest.TransposeNoDatachange (0 ms) 2024-06-26T05:15:39.2782133Z [ RUN ] OpTransposeIntCopyTest.ThreeDTranspose 2024-06-26T05:15:39.2782454Z [ OK ] OpTransposeIntCopyTest.ThreeDTranspose (0 ms) 2024-06-26T05:15:39.2782754Z [ RUN ] OpTransposeIntCopyTest.OutOfBoundDimDies 2024-06-26T05:15:39.2783100Z [ OK ] OpTransposeIntCopyTest.OutOfBoundDimDies (0 ms) 2024-06-26T05:15:39.2783398Z [ RUN ] OpTransposeIntCopyTest.MismatchedDimDies 2024-06-26T05:15:39.2783728Z [ OK ] OpTransposeIntCopyTest.MismatchedDimDies (0 ms) 2024-06-26T05:15:39.2784179Z [ RUN ] OpTransposeIntCopyTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2784661Z [ OK ] OpTransposeIntCopyTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2785145Z [ RUN ] OpTransposeIntCopyTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2785412Z /executorch/kernels/test/op_transpose_copy_test.cpp:200: Skipped 2024-06-26T05:15:39.2785535Z Dynamic shape not supported 2024-06-26T05:15:39.2786093Z [ SKIPPED ] OpTransposeIntCopyTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2786414Z [ RUN ] OpTransposeIntCopyTest.DynamicShapeUnbound 2024-06-26T05:15:39.2786677Z /executorch/kernels/test/op_transpose_copy_test.cpp:219: Skipped 2024-06-26T05:15:39.2786811Z Dynamic shape not supported 2024-06-26T05:15:39.2787180Z [ SKIPPED ] OpTransposeIntCopyTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2787516Z [----------] 9 tests from OpTransposeIntCopyTest (0 ms total) 2024-06-26T05:15:39.2787535Z 2024-06-26T05:15:39.2787735Z [----------] 19 tests from OpTrilTest 2024-06-26T05:15:39.2787954Z [ RUN ] OpTrilTest.ByteGenericTest 2024-06-26T05:15:39.2788216Z [ OK ] OpTrilTest.ByteGenericTest (0 ms) 2024-06-26T05:15:39.2788434Z [ RUN ] OpTrilTest.CharGenericTest 2024-06-26T05:15:39.2788771Z [ OK ] OpTrilTest.CharGenericTest (0 ms) 2024-06-26T05:15:39.2789039Z [ RUN ] OpTrilTest.ShortGenericTest 2024-06-26T05:15:39.2789292Z [ OK ] OpTrilTest.ShortGenericTest (0 ms) 2024-06-26T05:15:39.2789506Z [ RUN ] OpTrilTest.IntGenericTest 2024-06-26T05:15:39.2789761Z [ OK ] OpTrilTest.IntGenericTest (0 ms) 2024-06-26T05:15:39.2789977Z [ RUN ] OpTrilTest.LongGenericTest 2024-06-26T05:15:39.2790223Z [ OK ] OpTrilTest.LongGenericTest (0 ms) 2024-06-26T05:15:39.2790464Z [ RUN ] OpTrilTest.FloatGenericTest 2024-06-26T05:15:39.2790712Z [ OK ] OpTrilTest.FloatGenericTest (0 ms) 2024-06-26T05:15:39.2790954Z [ RUN ] OpTrilTest.DoubleGenericTest 2024-06-26T05:15:39.2791206Z [ OK ] OpTrilTest.DoubleGenericTest (0 ms) 2024-06-26T05:15:39.2791422Z [ RUN ] OpTrilTest.BoolGenericTest 2024-06-26T05:15:39.2791679Z [ OK ] OpTrilTest.BoolGenericTest (0 ms) 2024-06-26T05:15:39.2791881Z [ RUN ] OpTrilTest.ByteRealTest 2024-06-26T05:15:39.2792110Z [ OK ] OpTrilTest.ByteRealTest (0 ms) 2024-06-26T05:15:39.2792368Z [ RUN ] OpTrilTest.CharRealTest 2024-06-26T05:15:39.2792597Z [ OK ] OpTrilTest.CharRealTest (0 ms) 2024-06-26T05:15:39.2792803Z [ RUN ] OpTrilTest.ShortRealTest 2024-06-26T05:15:39.2793048Z [ OK ] OpTrilTest.ShortRealTest (0 ms) 2024-06-26T05:15:39.2793244Z [ RUN ] OpTrilTest.IntRealTest 2024-06-26T05:15:39.2793472Z [ OK ] OpTrilTest.IntRealTest (0 ms) 2024-06-26T05:15:39.2793683Z [ RUN ] OpTrilTest.LongRealTest 2024-06-26T05:15:39.2793909Z [ OK ] OpTrilTest.LongRealTest (0 ms) 2024-06-26T05:15:39.2794129Z [ RUN ] OpTrilTest.FloatRealTest 2024-06-26T05:15:39.2794360Z [ OK ] OpTrilTest.FloatRealTest (0 ms) 2024-06-26T05:15:39.2794572Z [ RUN ] OpTrilTest.DoubleRealTest 2024-06-26T05:15:39.2794854Z [ OK ] OpTrilTest.DoubleRealTest (0 ms) 2024-06-26T05:15:39.2795120Z [ RUN ] OpTrilTest.InvalidInputShapesDies 2024-06-26T05:15:39.2795408Z [ OK ] OpTrilTest.InvalidInputShapesDies (0 ms) 2024-06-26T05:15:39.2795702Z [ RUN ] OpTrilTest.MismatchedOutputShapesDies 2024-06-26T05:15:39.2796007Z [ OK ] OpTrilTest.MismatchedOutputShapesDies (0 ms) 2024-06-26T05:15:39.2796282Z [ RUN ] OpTrilTest.MismatchedOutputDtypeDies 2024-06-26T05:15:39.2796596Z [ OK ] OpTrilTest.MismatchedOutputDtypeDies (0 ms) 2024-06-26T05:15:39.2796822Z [ RUN ] OpTrilTest.InvalidTensorDims 2024-06-26T05:15:39.2797072Z [ OK ] OpTrilTest.InvalidTensorDims (0 ms) 2024-06-26T05:15:39.2797334Z [----------] 19 tests from OpTrilTest (2 ms total) 2024-06-26T05:15:39.2797341Z 2024-06-26T05:15:39.2797546Z [----------] 1 test from OpTruncOutTest 2024-06-26T05:15:39.2797770Z [ RUN ] OpTruncOutTest.SmokeTest 2024-06-26T05:15:39.2798120Z [ OK ] OpTruncOutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2798381Z [----------] 1 test from OpTruncOutTest (0 ms total) 2024-06-26T05:15:39.2798386Z 2024-06-26T05:15:39.2798652Z [----------] 11 tests from OpUnbindCopyIntOutTest 2024-06-26T05:15:39.2799039Z [ RUN ] OpUnbindCopyIntOutTest.Unbind1x2x3OnDim0AllRealDtypes 2024-06-26T05:15:39.2799467Z [ OK ] OpUnbindCopyIntOutTest.Unbind1x2x3OnDim0AllRealDtypes (0 ms) 2024-06-26T05:15:39.2799949Z [ RUN ] OpUnbindCopyIntOutTest.Unbind1x2x3OnDim1AllRealDTypes 2024-06-26T05:15:39.2800377Z [ OK ] OpUnbindCopyIntOutTest.Unbind1x2x3OnDim1AllRealDTypes (0 ms) 2024-06-26T05:15:39.2800774Z [ RUN ] OpUnbindCopyIntOutTest.Unbind1x2x3OnDim2AllRealDTypes 2024-06-26T05:15:39.2801197Z [ OK ] OpUnbindCopyIntOutTest.Unbind1x2x3OnDim2AllRealDTypes (0 ms) 2024-06-26T05:15:39.2801631Z [ RUN ] OpUnbindCopyIntOutTest.ZeroDimensionalInputTensorDies 2024-06-26T05:15:39.2802077Z [ OK ] OpUnbindCopyIntOutTest.ZeroDimensionalInputTensorDies (0 ms) 2024-06-26T05:15:39.2802473Z [ RUN ] OpUnbindCopyIntOutTest.UnbindWorksWithZeroSizedTensors 2024-06-26T05:15:39.2802910Z [ OK ] OpUnbindCopyIntOutTest.UnbindWorksWithZeroSizedTensors (0 ms) 2024-06-26T05:15:39.2803366Z [ RUN ] OpUnbindCopyIntOutTest.UnbindFailsWithWronglyAllocatedOutput 2024-06-26T05:15:39.2803860Z [ OK ] OpUnbindCopyIntOutTest.UnbindFailsWithWronglyAllocatedOutput (0 ms) 2024-06-26T05:15:39.2804237Z [ RUN ] OpUnbindCopyIntOutTest.UnbindProduceScalarTensors 2024-06-26T05:15:39.2804633Z [ OK ] OpUnbindCopyIntOutTest.UnbindProduceScalarTensors (0 ms) 2024-06-26T05:15:39.2805023Z [ RUN ] OpUnbindCopyIntOutTest.UnbindProduceScalarLikeTensors 2024-06-26T05:15:39.2805466Z [ OK ] OpUnbindCopyIntOutTest.UnbindProduceScalarLikeTensors (0 ms) 2024-06-26T05:15:39.2805905Z [ RUN ] OpUnbindCopyIntOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2806444Z [ OK ] OpUnbindCopyIntOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2806923Z [ RUN ] OpUnbindCopyIntOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2807163Z /executorch/kernels/test/op_unbind_copy_test.cpp:364: Skipped 2024-06-26T05:15:39.2807285Z Dynamic shape not supported 2024-06-26T05:15:39.2807839Z [ SKIPPED ] OpUnbindCopyIntOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2808156Z [ RUN ] OpUnbindCopyIntOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2808410Z /executorch/kernels/test/op_unbind_copy_test.cpp:370: Skipped 2024-06-26T05:15:39.2808524Z Dynamic shape not supported 2024-06-26T05:15:39.2808900Z [ SKIPPED ] OpUnbindCopyIntOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2809271Z [----------] 11 tests from OpUnbindCopyIntOutTest (1 ms total) 2024-06-26T05:15:39.2809280Z 2024-06-26T05:15:39.2809500Z [----------] 10 tests from OpUnsqueezeTest 2024-06-26T05:15:39.2809768Z [ RUN ] OpUnsqueezeTest.AllDtypesSupported 2024-06-26T05:15:39.2810072Z [ OK ] OpUnsqueezeTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.2810342Z [ RUN ] OpUnsqueezeTest.EmptyInputSupported 2024-06-26T05:15:39.2810648Z [ OK ] OpUnsqueezeTest.EmptyInputSupported (0 ms) 2024-06-26T05:15:39.2810987Z [ RUN ] OpUnsqueezeTest.InputOutputMismatchedSizesDie 2024-06-26T05:15:39.2811351Z [ OK ] OpUnsqueezeTest.InputOutputMismatchedSizesDie (0 ms) 2024-06-26T05:15:39.2811681Z [ RUN ] OpUnsqueezeTest.DimOutputMismatchedSizesDie 2024-06-26T05:15:39.2812028Z [ OK ] OpUnsqueezeTest.DimOutputMismatchedSizesDie (0 ms) 2024-06-26T05:15:39.2812294Z [ RUN ] OpUnsqueezeTest.MismatchedTypesDie 2024-06-26T05:15:39.2812605Z [ OK ] OpUnsqueezeTest.MismatchedTypesDie (0 ms) 2024-06-26T05:15:39.2812863Z [ RUN ] OpUnsqueezeTest.DimOutOfRangeDies 2024-06-26T05:15:39.2813149Z [ OK ] OpUnsqueezeTest.DimOutOfRangeDies (0 ms) 2024-06-26T05:15:39.2813428Z [ RUN ] OpUnsqueezeTest.UpperBoundOutTensor 2024-06-26T05:15:39.2813722Z [ OK ] OpUnsqueezeTest.UpperBoundOutTensor (0 ms) 2024-06-26T05:15:39.2814150Z [ RUN ] OpUnsqueezeTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2814575Z [ OK ] OpUnsqueezeTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2814984Z [ RUN ] OpUnsqueezeTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2815259Z /executorch/kernels/test/op_unsqueeze_copy_test.cpp:268: Skipped 2024-06-26T05:15:39.2815412Z Dynamic shape not supported 2024-06-26T05:15:39.2815893Z [ SKIPPED ] OpUnsqueezeTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2816177Z [ RUN ] OpUnsqueezeTest.DynamicShapeUnbound 2024-06-26T05:15:39.2816438Z /executorch/kernels/test/op_unsqueeze_copy_test.cpp:305: Skipped 2024-06-26T05:15:39.2816561Z Dynamic shape not supported 2024-06-26T05:15:39.2816893Z [ SKIPPED ] OpUnsqueezeTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2817161Z [----------] 10 tests from OpUnsqueezeTest (1 ms total) 2024-06-26T05:15:39.2817167Z 2024-06-26T05:15:39.2817380Z [----------] 8 tests from OpVarOutTest 2024-06-26T05:15:39.2817660Z [ RUN ] OpVarOutTest.InvalidDimensionListDies 2024-06-26T05:15:39.2817965Z [ OK ] OpVarOutTest.InvalidDimensionListDies (0 ms) 2024-06-26T05:15:39.2818213Z [ RUN ] OpVarOutTest.InvalidShapeDies 2024-06-26T05:15:39.2818473Z [ OK ] OpVarOutTest.InvalidShapeDies (0 ms) 2024-06-26T05:15:39.2818710Z [ RUN ] OpVarOutTest.InvalidDTypeDies 2024-06-26T05:15:39.2818984Z [ OK ] OpVarOutTest.InvalidDTypeDies (0 ms) 2024-06-26T05:15:39.2819339Z [ RUN ] OpVarOutTest.AllFloatInputFloatOutputPasses 2024-06-26T05:15:39.2819763Z [ OK ] OpVarOutTest.AllFloatInputFloatOutputPasses (0 ms) 2024-06-26T05:15:39.2820024Z [ RUN ] OpVarOutTest.InfinityAndNANTest 2024-06-26T05:15:39.2820300Z [ OK ] OpVarOutTest.InfinityAndNANTest (0 ms) 2024-06-26T05:15:39.2820675Z [ RUN ] OpVarOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2821075Z [ OK ] OpVarOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2821460Z [ RUN ] OpVarOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2821904Z [ OK ] OpVarOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2822154Z [ RUN ] OpVarOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2822382Z /executorch/kernels/test/op_var_test.cpp:376: Skipped 2024-06-26T05:15:39.2822531Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2822836Z [ SKIPPED ] OpVarOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2823091Z [----------] 8 tests from OpVarOutTest (0 ms total) 2024-06-26T05:15:39.2823096Z 2024-06-26T05:15:39.2823351Z [----------] 1 test from OpVarCorrectionOutTest 2024-06-26T05:15:39.2823600Z [ RUN ] OpVarCorrectionOutTest.SmokeTest 2024-06-26T05:15:39.2823895Z [ OK ] OpVarCorrectionOutTest.SmokeTest (0 ms) 2024-06-26T05:15:39.2824194Z [----------] 1 test from OpVarCorrectionOutTest (0 ms total) 2024-06-26T05:15:39.2824199Z 2024-06-26T05:15:39.2824392Z [----------] 10 tests from OpViewTest 2024-06-26T05:15:39.2824641Z [ RUN ] OpViewTest.AllDtypesSupported 2024-06-26T05:15:39.2824906Z [ OK ] OpViewTest.AllDtypesSupported (0 ms) 2024-06-26T05:15:39.2825147Z [ RUN ] OpViewTest.EmptyInputSupported 2024-06-26T05:15:39.2825429Z [ OK ] OpViewTest.EmptyInputSupported (0 ms) 2024-06-26T05:15:39.2825730Z [ RUN ] OpViewTest.InputOutputMismatchedSizesDie 2024-06-26T05:15:39.2826059Z [ OK ] OpViewTest.InputOutputMismatchedSizesDie (0 ms) 2024-06-26T05:15:39.2826364Z [ RUN ] OpViewTest.SizeOutputMismatchedSizesDie 2024-06-26T05:15:39.2826688Z [ OK ] OpViewTest.SizeOutputMismatchedSizesDie (0 ms) 2024-06-26T05:15:39.2826966Z [ RUN ] OpViewTest.MismatchedTypesDie 2024-06-26T05:15:39.2827230Z [ OK ] OpViewTest.MismatchedTypesDie (0 ms) 2024-06-26T05:15:39.2827416Z [ RUN ] OpViewTest.SizeInfer 2024-06-26T05:15:39.2827642Z [ OK ] OpViewTest.SizeInfer (0 ms) 2024-06-26T05:15:39.2827880Z [ RUN ] OpViewTest.UpperBoundOutTensor 2024-06-26T05:15:39.2828175Z [ OK ] OpViewTest.UpperBoundOutTensor (0 ms) 2024-06-26T05:15:39.2828535Z [ RUN ] OpViewTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2828923Z [ OK ] OpViewTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2829295Z [ RUN ] OpViewTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2829537Z /executorch/kernels/test/op_view_copy_test.cpp:295: Skipped 2024-06-26T05:15:39.2829662Z Dynamic shape not supported 2024-06-26T05:15:39.2830113Z [ SKIPPED ] OpViewTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2830355Z [ RUN ] OpViewTest.DynamicShapeUnbound 2024-06-26T05:15:39.2830584Z /executorch/kernels/test/op_view_copy_test.cpp:303: Skipped 2024-06-26T05:15:39.2830716Z Dynamic shape not supported 2024-06-26T05:15:39.2830999Z [ SKIPPED ] OpViewTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2831247Z [----------] 10 tests from OpViewTest (0 ms total) 2024-06-26T05:15:39.2831255Z 2024-06-26T05:15:39.2831479Z [----------] 12 tests from OpWhereOutTest 2024-06-26T05:15:39.2831762Z [ RUN ] OpWhereOutTest.AllRealDtypesSupported 2024-06-26T05:15:39.2832115Z [ OK ] OpWhereOutTest.AllRealDtypesSupported (0 ms) 2024-06-26T05:15:39.2832347Z [ RUN ] OpWhereOutTest.AllTrueTest 2024-06-26T05:15:39.2832596Z [ OK ] OpWhereOutTest.AllTrueTest (0 ms) 2024-06-26T05:15:39.2832821Z [ RUN ] OpWhereOutTest.AllFalseTest 2024-06-26T05:15:39.2833085Z [ OK ] OpWhereOutTest.AllFalseTest (0 ms) 2024-06-26T05:15:39.2833345Z [ RUN ] OpWhereOutTest.MixedTrueFalseTest 2024-06-26T05:15:39.2833643Z [ OK ] OpWhereOutTest.MixedTrueFalseTest (0 ms) 2024-06-26T05:15:39.2833921Z [ RUN ] OpWhereOutTest.BroadcastConditionTest 2024-06-26T05:15:39.2834226Z [ OK ] OpWhereOutTest.BroadcastConditionTest (0 ms) 2024-06-26T05:15:39.2834610Z [ RUN ] OpWhereOutTest.BroadcastConditionAndBroadCastYTest 2024-06-26T05:15:39.2835047Z [ OK ] OpWhereOutTest.BroadcastConditionAndBroadCastYTest (0 ms) 2024-06-26T05:15:39.2835288Z [ RUN ] OpWhereOutTest.DoubleTypeTest 2024-06-26T05:15:39.2835567Z [ OK ] OpWhereOutTest.DoubleTypeTest (0 ms) 2024-06-26T05:15:39.2835830Z [ RUN ] OpWhereOutTest.MismatchedShapeTest 2024-06-26T05:15:39.2836121Z [ OK ] OpWhereOutTest.MismatchedShapeTest (0 ms) 2024-06-26T05:15:39.2836505Z [ RUN ] OpWhereOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2836921Z [ OK ] OpWhereOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2837340Z [ RUN ] OpWhereOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2837547Z /executorch/kernels/test/op_where_test.cpp:451: Skipped 2024-06-26T05:15:39.2837667Z Dynamic shape not supported 2024-06-26T05:15:39.2838304Z [ SKIPPED ] OpWhereOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2838574Z [ RUN ] OpWhereOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2838785Z /executorch/kernels/test/op_where_test.cpp:459: Skipped 2024-06-26T05:15:39.2838919Z Dynamic shape not supported 2024-06-26T05:15:39.2839233Z [ SKIPPED ] OpWhereOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2839454Z [ RUN ] OpWhereOutTest.HalfSupport 2024-06-26T05:15:39.2839733Z [ OK ] OpWhereOutTest.HalfSupport (0 ms) 2024-06-26T05:15:39.2840125Z [----------] 12 tests from OpWhereOutTest (0 ms total) 2024-06-26T05:15:39.2840134Z 2024-06-26T05:15:39.2840364Z [----------] 11 tests from OpZerosOutTest 2024-06-26T05:15:39.2840583Z [ RUN ] OpZerosOutTest.ByteTensors 2024-06-26T05:15:39.2840828Z [ OK ] OpZerosOutTest.ByteTensors (0 ms) 2024-06-26T05:15:39.2841057Z [ RUN ] OpZerosOutTest.CharTensors 2024-06-26T05:15:39.2841344Z [ OK ] OpZerosOutTest.CharTensors (0 ms) 2024-06-26T05:15:39.2841567Z [ RUN ] OpZerosOutTest.ShortTensors 2024-06-26T05:15:39.2841828Z [ OK ] OpZerosOutTest.ShortTensors (0 ms) 2024-06-26T05:15:39.2842038Z [ RUN ] OpZerosOutTest.IntTensors 2024-06-26T05:15:39.2842403Z [ OK ] OpZerosOutTest.IntTensors (0 ms) 2024-06-26T05:15:39.2842621Z [ RUN ] OpZerosOutTest.LongTensors 2024-06-26T05:15:39.2842879Z [ OK ] OpZerosOutTest.LongTensors (0 ms) 2024-06-26T05:15:39.2843101Z [ RUN ] OpZerosOutTest.FloatTensors 2024-06-26T05:15:39.2843350Z [ OK ] OpZerosOutTest.FloatTensors (0 ms) 2024-06-26T05:15:39.2843592Z [ RUN ] OpZerosOutTest.DoubleTensors 2024-06-26T05:15:39.2843846Z [ OK ] OpZerosOutTest.DoubleTensors (0 ms) 2024-06-26T05:15:39.2844060Z [ RUN ] OpZerosOutTest.BoolTensors 2024-06-26T05:15:39.2844321Z [ OK ] OpZerosOutTest.BoolTensors (0 ms) 2024-06-26T05:15:39.2844695Z [ RUN ] OpZerosOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2845167Z [ OK ] OpZerosOutTest.DynamicShapeUpperBoundSameAsExpected (0 ms) 2024-06-26T05:15:39.2845569Z [ RUN ] OpZerosOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2846017Z [ OK ] OpZerosOutTest.DynamicShapeUpperBoundLargerThanExpected (0 ms) 2024-06-26T05:15:39.2846296Z [ RUN ] OpZerosOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2846501Z /executorch/kernels/test/op_zeros_test.cpp:79: Skipped 2024-06-26T05:15:39.2846635Z Dynamic shape unbound not supported 2024-06-26T05:15:39.2846960Z [ SKIPPED ] OpZerosOutTest.DynamicShapeUnbound (0 ms) 2024-06-26T05:15:39.2847225Z [----------] 11 tests from OpZerosOutTest (0 ms total) 2024-06-26T05:15:39.2847231Z 2024-06-26T05:15:39.2847478Z [----------] Global test environment tear-down 2024-06-26T05:15:39.2847824Z [==========] 1183 tests from 153 test suites ran. (110 ms total) 2024-06-26T05:15:39.2847988Z [ PASSED ] 1068 tests. 2024-06-26T05:15:39.2848213Z [ SKIPPED ] 115 tests, listed below: 2024-06-26T05:15:39.2848529Z [ SKIPPED ] OpToDimOrderCopyTest.DynamicShapeUnbound 2024-06-26T05:15:39.2848989Z [ SKIPPED ] OpAcosOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.2849470Z [ SKIPPED ] OpAcosOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.2849933Z [ SKIPPED ] OpAcoshOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.2850408Z [ SKIPPED ] OpAcoshOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.2850719Z [ SKIPPED ] OpAddOutKernelTest.DynamicShapeUnbound 2024-06-26T05:15:39.2850987Z [ SKIPPED ] OpAddmmOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2851279Z [ SKIPPED ] OpArangeOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2851592Z [ SKIPPED ] OpArangeStartOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2851920Z [ SKIPPED ] OpAsStridedCopyOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2852389Z [ SKIPPED ] OpAsinOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.2852855Z [ SKIPPED ] OpAsinOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.2853318Z [ SKIPPED ] OpAsinhOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.2853853Z [ SKIPPED ] OpAsinhOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.2854310Z [ SKIPPED ] OpAtanOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.2854772Z [ SKIPPED ] OpAtanOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.2855240Z [ SKIPPED ] OpAtanhOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.2855744Z [ SKIPPED ] OpAtanhOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.2856062Z [ SKIPPED ] OpBitwiseNotOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2856322Z [ SKIPPED ] OpBmmOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2856575Z [ SKIPPED ] OpCatOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2857013Z [ SKIPPED ] OpClampOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2857281Z [ SKIPPED ] OpClampOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2857534Z [ SKIPPED ] OpCloneTest.DynamicShapeUnbound 2024-06-26T05:15:39.2857808Z [ SKIPPED ] OpConvOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2858199Z [ SKIPPED ] OpCopyTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2858448Z [ SKIPPED ] OpCopyTest.DynamicShapeUnbound 2024-06-26T05:15:39.2858911Z [ SKIPPED ] OpCosOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.2859374Z [ SKIPPED ] OpCosOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.2859943Z [ SKIPPED ] OpCoshOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.2860412Z [ SKIPPED ] OpCoshOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.2860686Z [ SKIPPED ] OpCumSumOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2861004Z [ SKIPPED ] OpDetachCopyOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2861258Z [ SKIPPED ] OpDivOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2861560Z [ SKIPPED ] OpEmbeddingOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2861840Z [ SKIPPED ] OpEmptyOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2862130Z [ SKIPPED ] OpEqScalarOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2862561Z [ SKIPPED ] OpExpandOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2862853Z [ SKIPPED ] OpExpandOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2863204Z [ SKIPPED ] OpFloorDivideTest.BroadcastDimSizeIsOneAB 2024-06-26T05:15:39.2863546Z [ SKIPPED ] OpFloorDivideTest.BroadcastDimSizeMissingAB 2024-06-26T05:15:39.2863863Z [ SKIPPED ] OpFloorDivideTest.BroadcastDimSizeIsOneBA 2024-06-26T05:15:39.2864190Z [ SKIPPED ] OpFloorDivideTest.BroadcastDimSizeMissingBA 2024-06-26T05:15:39.2864618Z [ SKIPPED ] OpFloorDivideTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2865063Z [ SKIPPED ] OpFloorDivideTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2865352Z [ SKIPPED ] OpFloorDivideTest.DynamicShapeUnbound 2024-06-26T05:15:39.2865634Z [ SKIPPED ] OpFullLikeTest.DynamicShapeUnbound 2024-06-26T05:15:39.2866025Z [ SKIPPED ] OpGeluTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2866282Z [ SKIPPED ] OpGeluTest.DynamicShapeUnbound 2024-06-26T05:15:39.2866663Z [ SKIPPED ] OpGluOutTest.DynamicShapeUpperBoundSameAsExpected 2024-06-26T05:15:39.2866922Z [ SKIPPED ] OpGluOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2867381Z [ SKIPPED ] OpIndexPutOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2867671Z [ SKIPPED ] OpIndexPutOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2868140Z [ SKIPPED ] OpIndexSelectOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2868464Z [ SKIPPED ] OpIndexSelectOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2868802Z [ SKIPPED ] OpLogSoftmaxOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2869062Z [ SKIPPED ] OpLogOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2869341Z [ SKIPPED ] OpLogitOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2869622Z [ SKIPPED ] OpMaskedFillTest.DynamicShapeUnbound 2024-06-26T05:15:39.2869891Z [ SKIPPED ] OpMaxOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2870186Z [ SKIPPED ] OpMeanOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2870442Z [ SKIPPED ] OpMinOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2870894Z [ SKIPPED ] OpMinimumOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2871254Z [ SKIPPED ] OpMinimumOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2871504Z [ SKIPPED ] OpMmOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2871773Z [ SKIPPED ] OpMulOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2872090Z [ SKIPPED ] OpNativeLayerNormTest.DynamicShapeUnbound 2024-06-26T05:15:39.2872379Z [ SKIPPED ] OpNeScalarOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2872682Z [ SKIPPED ] OpPermuteCopyTest.DynamicShapeUnbound 2024-06-26T05:15:39.2872927Z [ SKIPPED ] OpReluTest.DynamicShapeUnbound 2024-06-26T05:15:39.2873356Z [ SKIPPED ] OpRepeatOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2873648Z [ SKIPPED ] OpRepeatOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2873898Z [ SKIPPED ] OpRoundTest.DynamicShapeUnbound 2024-06-26T05:15:39.2874419Z [ SKIPPED ] OpRSubScalarOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2874723Z [ SKIPPED ] OpRSubScalarOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2875186Z [ SKIPPED ] OpScatterAddOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2875500Z [ SKIPPED ] OpScatterAddOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2875990Z [ SKIPPED ] OpSelectScatterOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2876316Z [ SKIPPED ] OpSelectScatterOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2876817Z [ SKIPPED ] OpSelectCopyIntOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2877143Z [ SKIPPED ] OpSelectCopyIntOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2877406Z [ SKIPPED ] OpSignTest.ATenSanityCheckFloat 2024-06-26T05:15:39.2878027Z [ SKIPPED ] OpSinOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.2878493Z [ SKIPPED ] OpSinOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.2878962Z [ SKIPPED ] OpSinhOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.2879426Z [ SKIPPED ] OpSinhOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.2879937Z [ SKIPPED ] OpSliceCopyTensorOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2880292Z [ SKIPPED ] OpSliceCopyTensorOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2880577Z [ SKIPPED ] OpSoftmaxOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2880901Z [ SKIPPED ] OpSplitCopyTensorOutTest.DtypeMismatchDies 2024-06-26T05:15:39.2881423Z [ SKIPPED ] OpSplitCopyTensorOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2881764Z [ SKIPPED ] OpSplitCopyTensorOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2882190Z [ SKIPPED ] OpSqueezeTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2882457Z [ SKIPPED ] OpSqueezeTest.DynamicShapeUnbound 2024-06-26T05:15:39.2882877Z [ SKIPPED ] OpStackOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2883157Z [ SKIPPED ] OpStackOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2883414Z [ SKIPPED ] OpSubOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2883848Z [ SKIPPED ] OpTCopyTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2884115Z [ SKIPPED ] OpTCopyTest.DynamicShapeUnbound 2024-06-26T05:15:39.2884565Z [ SKIPPED ] OpTanOutTest.AllRealInputFloatOutputUnboundDynamismSupport 2024-06-26T05:15:39.2885022Z [ SKIPPED ] OpTanOutTest.AllRealInputDoubleOutputUnboundDynamismSupport 2024-06-26T05:15:39.2885340Z [ SKIPPED ] OpTanhOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2885575Z [ SKIPPED ] OpToTest.DynamicShapeUnbound 2024-06-26T05:15:39.2886080Z [ SKIPPED ] OpTransposeIntCopyTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2886409Z [ SKIPPED ] OpTransposeIntCopyTest.DynamicShapeUnbound 2024-06-26T05:15:39.2886897Z [ SKIPPED ] OpUnbindCopyIntOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2887236Z [ SKIPPED ] OpUnbindCopyIntOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2887668Z [ SKIPPED ] OpUnsqueezeTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2887943Z [ SKIPPED ] OpUnsqueezeTest.DynamicShapeUnbound 2024-06-26T05:15:39.2888212Z [ SKIPPED ] OpVarOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2888601Z [ SKIPPED ] OpViewTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2888847Z [ SKIPPED ] OpViewTest.DynamicShapeUnbound 2024-06-26T05:15:39.2889282Z [ SKIPPED ] OpWhereOutTest.DynamicShapeUpperBoundLargerThanExpected 2024-06-26T05:15:39.2889553Z [ SKIPPED ] OpWhereOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2889882Z [ SKIPPED ] OpZerosOutTest.DynamicShapeUnbound 2024-06-26T05:15:39.2896296Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test' 2024-06-26T05:15:39.2896510Z + for test_dir in $(probe_tests) 2024-06-26T05:15:39.2896889Z + build_and_run_test runtime/core/exec_aten/testing_util/test 2024-06-26T05:15:39.2897202Z + local test_dir=runtime/core/exec_aten/testing_util/test 2024-06-26T05:15:39.2897373Z ++ pwd 2024-06-26T05:15:39.2900061Z + cmake runtime/core/exec_aten/testing_util/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/runtime/core/exec_aten/testing_util/test 2024-06-26T05:15:39.3281748Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:15:39.4269144Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:15:39.4325492Z -- Detecting C compiler ABI info 2024-06-26T05:15:39.5622115Z -- Detecting C compiler ABI info - done 2024-06-26T05:15:39.5686012Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:15:39.5688404Z -- Detecting C compile features 2024-06-26T05:15:39.5692755Z -- Detecting C compile features - done 2024-06-26T05:15:39.5723958Z -- Detecting CXX compiler ABI info 2024-06-26T05:15:39.7139766Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:15:39.7208358Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:15:39.7210754Z -- Detecting CXX compile features 2024-06-26T05:15:39.7215666Z -- Detecting CXX compile features - done 2024-06-26T05:15:39.7303003Z flatccrt_d library is not found. 2024-06-26T05:15:39.7304172Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:39.7307904Z mpsdelegate library is not found. 2024-06-26T05:15:39.7309069Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:39.7312617Z qnn_executorch_backend library is not found. 2024-06-26T05:15:39.7313888Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:39.7325990Z vulkan_backend library is not found. 2024-06-26T05:15:39.7326677Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:39.7336023Z quantized_ops_aot_lib library is not found. 2024-06-26T05:15:39.7337034Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:39.7351236Z -- Looking for pthread.h 2024-06-26T05:15:39.9124256Z -- Looking for pthread.h - found 2024-06-26T05:15:39.9125310Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:15:40.0237656Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:15:40.0245391Z -- Found Threads: TRUE 2024-06-26T05:15:40.0255498Z -- Configuring done 2024-06-26T05:15:40.0288399Z -- Generating done 2024-06-26T05:15:40.0303353Z -- Build files have been written to: /executorch/cmake-out/runtime/core/exec_aten/testing_util/test 2024-06-26T05:15:40.0331061Z + cmake --build cmake-out/runtime/core/exec_aten/testing_util/test -j9 2024-06-26T05:15:40.0626912Z [ 25%] Building CXX object CMakeFiles/runtime_core_exec_aten_testing_util_test.dir/tensor_util_test.cpp.o 2024-06-26T05:15:40.0629327Z [ 50%] Building CXX object CMakeFiles/runtime_core_exec_aten_testing_util_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:15:40.0666398Z [ 75%] Building CXX object CMakeFiles/runtime_core_exec_aten_testing_util_test.dir/tensor_factory_test.cpp.o 2024-06-26T05:15:40.3970586Z /executorch/runtime/core/exec_aten/testing_util/test/tensor_factory_test.cpp:1107:36: warning: 'resize' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:40.3971774Z ET_EXPECT_DEATH(torch::executor::resize(out, new_sizes), ""); 2024-06-26T05:15:40.3972324Z ^ 2024-06-26T05:15:40.3973965Z /executorch/runtime/core/exec_aten/testing_util/test/../../../../../../executorch/runtime/core/exec_aten/util/tensor_util.h:1119:1: note: 'resize' has been explicitly marked deprecated here 2024-06-26T05:15:40.3976072Z __ET_DEPRECATED inline void resize( 2024-06-26T05:15:40.3976689Z ^ 2024-06-26T05:15:40.3978426Z /executorch/runtime/core/exec_aten/testing_util/test/../../../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:40.3980301Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:40.3980926Z ^ 2024-06-26T05:15:40.3982042Z /executorch/runtime/core/exec_aten/testing_util/test/tensor_factory_test.cpp:1117:36: warning: 'resize' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:40.3983181Z ET_EXPECT_DEATH(torch::executor::resize(out, new_sizes), ""); 2024-06-26T05:15:40.3983698Z ^ 2024-06-26T05:15:40.3984997Z /executorch/runtime/core/exec_aten/testing_util/test/../../../../../../executorch/runtime/core/exec_aten/util/tensor_util.h:1119:1: note: 'resize' has been explicitly marked deprecated here 2024-06-26T05:15:40.3986181Z __ET_DEPRECATED inline void resize( 2024-06-26T05:15:40.3986546Z ^ 2024-06-26T05:15:40.3987552Z /executorch/runtime/core/exec_aten/testing_util/test/../../../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:40.3988588Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:40.3988978Z ^ 2024-06-26T05:15:40.3990135Z /executorch/runtime/core/exec_aten/testing_util/test/tensor_factory_test.cpp:1127:36: warning: 'resize' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:40.3991241Z ET_EXPECT_DEATH(torch::executor::resize(out, new_sizes), ""); 2024-06-26T05:15:40.3991753Z ^ 2024-06-26T05:15:40.3993041Z /executorch/runtime/core/exec_aten/testing_util/test/../../../../../../executorch/runtime/core/exec_aten/util/tensor_util.h:1119:1: note: 'resize' has been explicitly marked deprecated here 2024-06-26T05:15:40.3994286Z __ET_DEPRECATED inline void resize( 2024-06-26T05:15:40.3994646Z ^ 2024-06-26T05:15:40.3995645Z /executorch/runtime/core/exec_aten/testing_util/test/../../../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:40.3996696Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:40.3997073Z ^ 2024-06-26T05:15:40.3998398Z /executorch/runtime/core/exec_aten/testing_util/test/tensor_factory_test.cpp:1141:36: warning: 'resize' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:40.3999530Z ET_EXPECT_DEATH(torch::executor::resize(out, new_sizes), ""); 2024-06-26T05:15:40.4000028Z ^ 2024-06-26T05:15:40.4001327Z /executorch/runtime/core/exec_aten/testing_util/test/../../../../../../executorch/runtime/core/exec_aten/util/tensor_util.h:1119:1: note: 'resize' has been explicitly marked deprecated here 2024-06-26T05:15:40.4002515Z __ET_DEPRECATED inline void resize( 2024-06-26T05:15:40.4002880Z ^ 2024-06-26T05:15:40.4003861Z /executorch/runtime/core/exec_aten/testing_util/test/../../../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:40.4004975Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:40.4005363Z ^ 2024-06-26T05:15:40.4006391Z /executorch/runtime/core/exec_aten/testing_util/test/tensor_factory_test.cpp:1151:36: warning: 'resize' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:40.4007505Z ET_EXPECT_DEATH(torch::executor::resize(out, new_sizes), ""); 2024-06-26T05:15:40.4008018Z ^ 2024-06-26T05:15:40.4009294Z /executorch/runtime/core/exec_aten/testing_util/test/../../../../../../executorch/runtime/core/exec_aten/util/tensor_util.h:1119:1: note: 'resize' has been explicitly marked deprecated here 2024-06-26T05:15:40.4010485Z __ET_DEPRECATED inline void resize( 2024-06-26T05:15:40.4010853Z ^ 2024-06-26T05:15:40.4011895Z /executorch/runtime/core/exec_aten/testing_util/test/../../../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:40.4012929Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:40.4013322Z ^ 2024-06-26T05:15:40.4014358Z /executorch/runtime/core/exec_aten/testing_util/test/tensor_factory_test.cpp:1161:36: warning: 'resize' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:40.4015452Z ET_EXPECT_DEATH(torch::executor::resize(out, new_sizes), ""); 2024-06-26T05:15:40.4015969Z ^ 2024-06-26T05:15:40.4017264Z /executorch/runtime/core/exec_aten/testing_util/test/../../../../../../executorch/runtime/core/exec_aten/util/tensor_util.h:1119:1: note: 'resize' has been explicitly marked deprecated here 2024-06-26T05:15:40.4018447Z __ET_DEPRECATED inline void resize( 2024-06-26T05:15:40.4018802Z ^ 2024-06-26T05:15:40.4019871Z /executorch/runtime/core/exec_aten/testing_util/test/../../../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:40.4020924Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:40.4021302Z ^ 2024-06-26T05:15:40.4022341Z /executorch/runtime/core/exec_aten/testing_util/test/tensor_factory_test.cpp:1166:36: warning: 'resize' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:40.4023479Z ET_EXPECT_DEATH(torch::executor::resize(out_like, new_sizes), ""); 2024-06-26T05:15:40.4024055Z ^ 2024-06-26T05:15:40.4025408Z /executorch/runtime/core/exec_aten/testing_util/test/../../../../../../executorch/runtime/core/exec_aten/util/tensor_util.h:1119:1: note: 'resize' has been explicitly marked deprecated here 2024-06-26T05:15:40.4026668Z __ET_DEPRECATED inline void resize( 2024-06-26T05:15:40.4027068Z ^ 2024-06-26T05:15:40.4028112Z /executorch/runtime/core/exec_aten/testing_util/test/../../../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:40.4029547Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:40.4029940Z ^ 2024-06-26T05:15:40.4030974Z /executorch/runtime/core/exec_aten/testing_util/test/tensor_factory_test.cpp:1175:36: warning: 'resize' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:40.4032099Z ET_EXPECT_DEATH(torch::executor::resize(out, new_sizes), ""); 2024-06-26T05:15:40.4032609Z ^ 2024-06-26T05:15:40.4033885Z /executorch/runtime/core/exec_aten/testing_util/test/../../../../../../executorch/runtime/core/exec_aten/util/tensor_util.h:1119:1: note: 'resize' has been explicitly marked deprecated here 2024-06-26T05:15:40.4035053Z __ET_DEPRECATED inline void resize( 2024-06-26T05:15:40.4035413Z ^ 2024-06-26T05:15:40.4036411Z /executorch/runtime/core/exec_aten/testing_util/test/../../../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:40.4037437Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:40.4038014Z ^ 2024-06-26T05:15:40.4038356Z 8 warnings generated. 2024-06-26T05:15:40.4038978Z [100%] Linking CXX executable runtime_core_exec_aten_testing_util_test 2024-06-26T05:15:40.9313455Z [100%] Built target runtime_core_exec_aten_testing_util_test 2024-06-26T05:15:40.9371334Z + [[ runtime/core/exec_aten/testing_util/test =~ .*tokenizer.* ]] 2024-06-26T05:15:40.9373648Z ++ realpath extension/module/test/resources 2024-06-26T05:15:40.9381555Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:15:40.9382482Z + export RESOURCES_PATH 2024-06-26T05:15:40.9383076Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:40.9383953Z + '[' -e cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test ']' 2024-06-26T05:15:40.9385599Z ++ basename cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test 2024-06-26T05:15:40.9392839Z + LLVM_PROFILE_FILE=cmake-out/runtime_core_exec_aten_testing_util_test.profraw 2024-06-26T05:15:40.9393843Z + ./cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test 2024-06-26T05:15:40.9408330Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:15:40.9409575Z [==========] Running 89 tests from 3 test suites. 2024-06-26T05:15:40.9410672Z [----------] Global test environment set-up. 2024-06-26T05:15:40.9411348Z [----------] 38 tests from TensorUtilTest 2024-06-26T05:15:40.9412044Z [ RUN ] TensorUtilTest.DifferentDtypesAreNotCloseOrEqual 2024-06-26T05:15:40.9412910Z [ OK ] TensorUtilTest.DifferentDtypesAreNotCloseOrEqual (0 ms) 2024-06-26T05:15:40.9413754Z [ RUN ] TensorUtilTest.DifferentSizesAreNotCloseOrEqual 2024-06-26T05:15:40.9414589Z [ OK ] TensorUtilTest.DifferentSizesAreNotCloseOrEqual (0 ms) 2024-06-26T05:15:40.9415355Z [ RUN ] TensorUtilTest.DifferentLayoutsDies 2024-06-26T05:15:40.9432643Z [ OK ] TensorUtilTest.DifferentLayoutsDies (2 ms) 2024-06-26T05:15:40.9433894Z [ RUN ] TensorUtilTest.IntTensorIsCloseAndEqualToItself 2024-06-26T05:15:40.9435466Z [ OK ] TensorUtilTest.IntTensorIsCloseAndEqualToItself (0 ms) 2024-06-26T05:15:40.9436806Z [ RUN ] TensorUtilTest.IdenticalIntTensorsAreCloseAndEqual 2024-06-26T05:15:40.9438102Z [ OK ] TensorUtilTest.IdenticalIntTensorsAreCloseAndEqual (0 ms) 2024-06-26T05:15:40.9439051Z [ RUN ] TensorUtilTest.NonIdenticalIntTensorsAreNotCloseOrEqual 2024-06-26T05:15:40.9440256Z [ OK ] TensorUtilTest.NonIdenticalIntTensorsAreNotCloseOrEqual (0 ms) 2024-06-26T05:15:40.9441280Z [ RUN ] TensorUtilTest.EmptyTensorsAreCloseAndEqual 2024-06-26T05:15:40.9442382Z [ OK ] TensorUtilTest.EmptyTensorsAreCloseAndEqual (0 ms) 2024-06-26T05:15:40.9443344Z [ RUN ] TensorUtilTest.FloatTensorIsCloseAndEqualToItself 2024-06-26T05:15:40.9444397Z [ OK ] TensorUtilTest.FloatTensorIsCloseAndEqualToItself (0 ms) 2024-06-26T05:15:40.9445671Z [ RUN ] TensorUtilTest.IdenticalFloatTensorsAreCloseAndEqual 2024-06-26T05:15:40.9447378Z [ OK ] TensorUtilTest.IdenticalFloatTensorsAreCloseAndEqual (0 ms) 2024-06-26T05:15:40.9449219Z [ RUN ] TensorUtilTest.NearlyIdenticalFloatTensorsAreCloseButNotEqual 2024-06-26T05:15:40.9451161Z [ OK ] TensorUtilTest.NearlyIdenticalFloatTensorsAreCloseButNotEqual (0 ms) 2024-06-26T05:15:40.9453065Z [ RUN ] TensorUtilTest.NonIdenticalFloatTensorsAreNotCloseOrEqual 2024-06-26T05:15:40.9454911Z [ OK ] TensorUtilTest.NonIdenticalFloatTensorsAreNotCloseOrEqual (0 ms) 2024-06-26T05:15:40.9456616Z [ RUN ] TensorUtilTest.FloatNanElementsAreCloseAndEqual 2024-06-26T05:15:40.9458150Z [ OK ] TensorUtilTest.FloatNanElementsAreCloseAndEqual (0 ms) 2024-06-26T05:15:40.9460008Z [ RUN ] TensorUtilTest.FloatNanElementsAreNotEqualToNonNan 2024-06-26T05:15:40.9461679Z [ OK ] TensorUtilTest.FloatNanElementsAreNotEqualToNonNan (0 ms) 2024-06-26T05:15:40.9463103Z [ RUN ] TensorUtilTest.FloatInfiniteElementsAreCloseAndEqual 2024-06-26T05:15:40.9464020Z [ OK ] TensorUtilTest.FloatInfiniteElementsAreCloseAndEqual (0 ms) 2024-06-26T05:15:40.9465014Z [ RUN ] TensorUtilTest.NearlyIdenticalDoubleTensorsAreCloseButNotEqual 2024-06-26T05:15:40.9466102Z [ OK ] TensorUtilTest.NearlyIdenticalDoubleTensorsAreCloseButNotEqual (0 ms) 2024-06-26T05:15:40.9467129Z [ RUN ] TensorUtilTest.DoubleAndInfinitNanElementsAreCloseAndEqual 2024-06-26T05:15:40.9468136Z [ OK ] TensorUtilTest.DoubleAndInfinitNanElementsAreCloseAndEqual (0 ms) 2024-06-26T05:15:40.9469000Z [ RUN ] TensorUtilTest.TensorsAreCloseWithTol 2024-06-26T05:15:40.9469860Z [ OK ] TensorUtilTest.TensorsAreCloseWithTol (0 ms) 2024-06-26T05:15:40.9470961Z [ RUN ] TensorUtilTest.TensorsAreNotCloseWithTol 2024-06-26T05:15:40.9471717Z [ OK ] TensorUtilTest.TensorsAreNotCloseWithTol (0 ms) 2024-06-26T05:15:40.9472445Z [ RUN ] TensorUtilTest.TensorDataEqualSizeEqual 2024-06-26T05:15:40.9473182Z [ OK ] TensorUtilTest.TensorDataEqualSizeEqual (0 ms) 2024-06-26T05:15:40.9473931Z [ RUN ] TensorUtilTest.TensorDataEqualSizeUnequal 2024-06-26T05:15:40.9474690Z [ OK ] TensorUtilTest.TensorDataEqualSizeUnequal (0 ms) 2024-06-26T05:15:40.9475404Z [ RUN ] TensorUtilTest.EmptyTensorsSupported 2024-06-26T05:15:40.9476132Z [ OK ] TensorUtilTest.EmptyTensorsSupported (0 ms) 2024-06-26T05:15:40.9476838Z [ RUN ] TensorUtilTest.ZeroDimTensorsSupported 2024-06-26T05:15:40.9477553Z [ OK ] TensorUtilTest.ZeroDimTensorsSupported (0 ms) 2024-06-26T05:15:40.9479278Z [ RUN ] TensorUtilTest.TensorDataCloseNotEqualSizeEqual 2024-06-26T05:15:40.9480720Z [ OK ] TensorUtilTest.TensorDataCloseNotEqualSizeEqual (0 ms) 2024-06-26T05:15:40.9482186Z [ RUN ] TensorUtilTest.TensorDataCloseNotEqualSizeUnequal 2024-06-26T05:15:40.9483614Z [ OK ] TensorUtilTest.TensorDataCloseNotEqualSizeUnequal (0 ms) 2024-06-26T05:15:40.9484927Z [ RUN ] TensorUtilTest.TensorDataTypeMismatched 2024-06-26T05:15:40.9486238Z [ OK ] TensorUtilTest.TensorDataTypeMismatched (0 ms) 2024-06-26T05:15:40.9487412Z [ RUN ] TensorUtilTest.TensorSizeMismatched 2024-06-26T05:15:40.9488397Z [ OK ] TensorUtilTest.TensorSizeMismatched (0 ms) 2024-06-26T05:15:40.9489088Z [ RUN ] TensorUtilTest.TensorDataMismatched 2024-06-26T05:15:40.9490153Z [ OK ] TensorUtilTest.TensorDataMismatched (0 ms) 2024-06-26T05:15:40.9491293Z [ RUN ] TensorUtilTest.TensorDataCloseWithTol 2024-06-26T05:15:40.9492544Z [ OK ] TensorUtilTest.TensorDataCloseWithTol (0 ms) 2024-06-26T05:15:40.9493341Z [ RUN ] TensorUtilTest.TensorDataNotCloseWithTol 2024-06-26T05:15:40.9494093Z [ OK ] TensorUtilTest.TensorDataNotCloseWithTol (0 ms) 2024-06-26T05:15:40.9494826Z [ RUN ] TensorUtilTest.TensorListsCloseAndEqual 2024-06-26T05:15:40.9495560Z [ OK ] TensorUtilTest.TensorListsCloseAndEqual (0 ms) 2024-06-26T05:15:40.9496333Z [ RUN ] TensorUtilTest.EmptyTensorListsAreCloseAndEqual 2024-06-26T05:15:40.9497176Z [ OK ] TensorUtilTest.EmptyTensorListsAreCloseAndEqual (0 ms) 2024-06-26T05:15:40.9497978Z [ RUN ] TensorUtilTest.TensorListsCloseButNotEqual 2024-06-26T05:15:40.9498737Z [ OK ] TensorUtilTest.TensorListsCloseButNotEqual (0 ms) 2024-06-26T05:15:40.9499729Z [ RUN ] TensorUtilTest.TensorListsWithDifferentDataAreNotCloseOrEqual 2024-06-26T05:15:40.9500909Z [ OK ] TensorUtilTest.TensorListsWithDifferentDataAreNotCloseOrEqual (0 ms) 2024-06-26T05:15:40.9502110Z [ RUN ] TensorUtilTest.TensorListsWithDifferentLengthsAreNotCloseOrEqual 2024-06-26T05:15:40.9503414Z [ OK ] TensorUtilTest.TensorListsWithDifferentLengthsAreNotCloseOrEqual (0 ms) 2024-06-26T05:15:40.9504350Z [ RUN ] TensorUtilTest.ScalarTypeStreamSmokeTest 2024-06-26T05:15:40.9505107Z [ OK ] TensorUtilTest.ScalarTypeStreamSmokeTest (0 ms) 2024-06-26T05:15:40.9505786Z [ RUN ] TensorUtilTest.TensorStreamInt 2024-06-26T05:15:40.9506415Z [ OK ] TensorUtilTest.TensorStreamInt (0 ms) 2024-06-26T05:15:40.9507060Z [ RUN ] TensorUtilTest.TensorStreamDouble 2024-06-26T05:15:40.9507715Z [ OK ] TensorUtilTest.TensorStreamDouble (0 ms) 2024-06-26T05:15:40.9508419Z [ RUN ] TensorUtilTest.TensorStreamBool 2024-06-26T05:15:40.9509066Z [ OK ] TensorUtilTest.TensorStreamBool (0 ms) 2024-06-26T05:15:40.9509717Z [----------] 38 tests from TensorUtilTest (4 ms total) 2024-06-26T05:15:40.9510108Z 2024-06-26T05:15:40.9510335Z [----------] 48 tests from TensorFactoryTest 2024-06-26T05:15:40.9510923Z [ RUN ] TensorFactoryTest.MakeIntTensor 2024-06-26T05:15:40.9511546Z [ OK ] TensorFactoryTest.MakeIntTensor (0 ms) 2024-06-26T05:15:40.9512287Z [ RUN ] TensorFactoryTest.MakeFloatTensor 2024-06-26T05:15:40.9513054Z [ OK ] TensorFactoryTest.MakeFloatTensor (0 ms) 2024-06-26T05:15:40.9513770Z [ RUN ] TensorFactoryTest.MakeBoolTensor 2024-06-26T05:15:40.9514418Z [ OK ] TensorFactoryTest.MakeBoolTensor (0 ms) 2024-06-26T05:15:40.9515054Z [ RUN ] TensorFactoryTest.DataIsCopied 2024-06-26T05:15:40.9515685Z [ OK ] TensorFactoryTest.DataIsCopied (0 ms) 2024-06-26T05:15:40.9516396Z [ RUN ] TensorFactoryTest.DefaultStridesAreContiguous 2024-06-26T05:15:40.9517213Z [ OK ] TensorFactoryTest.DefaultStridesAreContiguous (0 ms) 2024-06-26T05:15:40.9518111Z [ RUN ] TensorFactoryTest.StridesForEmptyTensor 2024-06-26T05:15:40.9518844Z [ OK ] TensorFactoryTest.StridesForEmptyTensor (0 ms) 2024-06-26T05:15:40.9519596Z [ RUN ] TensorFactoryTest.StridesForZeroDimTensor 2024-06-26T05:15:40.9520433Z [ OK ] TensorFactoryTest.StridesForZeroDimTensor (0 ms) 2024-06-26T05:15:40.9521152Z [ RUN ] TensorFactoryTest.NotEnoughDataDies 2024-06-26T05:15:40.9521842Z [ OK ] TensorFactoryTest.NotEnoughDataDies (1 ms) 2024-06-26T05:15:40.9522525Z [ RUN ] TensorFactoryTest.TooMuchDataDies 2024-06-26T05:15:40.9523375Z [ OK ] TensorFactoryTest.TooMuchDataDies (1 ms) 2024-06-26T05:15:40.9524213Z [ RUN ] TensorFactoryTest.MakeStridedIntTensor 2024-06-26T05:15:40.9524940Z [ OK ] TensorFactoryTest.MakeStridedIntTensor (0 ms) 2024-06-26T05:15:40.9525673Z [ RUN ] TensorFactoryTest.MakeStridedFloatTensor 2024-06-26T05:15:40.9526411Z [ OK ] TensorFactoryTest.MakeStridedFloatTensor (0 ms) 2024-06-26T05:15:40.9527148Z [ RUN ] TensorFactoryTest.MakeStridedBoolTensor 2024-06-26T05:15:40.9527887Z [ OK ] TensorFactoryTest.MakeStridedBoolTensor (0 ms) 2024-06-26T05:15:40.9528712Z [ RUN ] TensorFactoryTest.MakeStridedSameStrideTensorSupported 2024-06-26T05:15:40.9529666Z [ OK ] TensorFactoryTest.MakeStridedSameStrideTensorSupported (0 ms) 2024-06-26T05:15:40.9530532Z [ RUN ] TensorFactoryTest.MakeStridedDataIsCopied 2024-06-26T05:15:40.9531282Z [ OK ] TensorFactoryTest.MakeStridedDataIsCopied (0 ms) 2024-06-26T05:15:40.9532082Z [ RUN ] TensorFactoryTest.MakeStridedEmptyDataSupported 2024-06-26T05:15:40.9533013Z [ OK ] TensorFactoryTest.MakeStridedEmptyDataSupported (0 ms) 2024-06-26T05:15:40.9534072Z [ RUN ] TensorFactoryTest.MakeStridedZeroDimSupported 2024-06-26T05:15:40.9535409Z [ OK ] TensorFactoryTest.MakeStridedZeroDimSupported (0 ms) 2024-06-26T05:15:40.9536764Z [ RUN ] TensorFactoryTest.MakeStridedNotEnoughDataDie 2024-06-26T05:15:40.9538184Z [ OK ] TensorFactoryTest.MakeStridedNotEnoughDataDie (1 ms) 2024-06-26T05:15:40.9539475Z [ RUN ] TensorFactoryTest.MakeStridedTooMuchDataDie 2024-06-26T05:15:40.9540850Z [ OK ] TensorFactoryTest.MakeStridedTooMuchDataDie (1 ms) 2024-06-26T05:15:40.9542184Z [ RUN ] TensorFactoryTest.MakeStridedNotEnoughStrideDie 2024-06-26T05:15:40.9543584Z [ OK ] TensorFactoryTest.MakeStridedNotEnoughStrideDie (1 ms) 2024-06-26T05:15:40.9544952Z [ RUN ] TensorFactoryTest.MakeStridedTooMuchStrideDie 2024-06-26T05:15:40.9546222Z [ OK ] TensorFactoryTest.MakeStridedTooMuchStrideDie (1 ms) 2024-06-26T05:15:40.9547202Z [ RUN ] TensorFactoryTest.MakeStridedTooLargeStrideDie 2024-06-26T05:15:40.9548096Z [ OK ] TensorFactoryTest.MakeStridedTooLargeStrideDie (1 ms) 2024-06-26T05:15:40.9548936Z [ RUN ] TensorFactoryTest.MakeStridedTooSmalleStrideDie 2024-06-26T05:15:40.9558798Z [ OK ] TensorFactoryTest.MakeStridedTooSmalleStrideDie (1 ms) 2024-06-26T05:15:40.9560042Z [ RUN ] TensorFactoryTest.MakeStridedNonPositiveStrideDie 2024-06-26T05:15:40.9569903Z [ OK ] TensorFactoryTest.MakeStridedNonPositiveStrideDie (1 ms) 2024-06-26T05:15:40.9570850Z [ RUN ] TensorFactoryTest.MakeStridedWrongStrideForEmptyDataDie 2024-06-26T05:15:40.9579895Z [ OK ] TensorFactoryTest.MakeStridedWrongStrideForEmptyDataDie (1 ms) 2024-06-26T05:15:40.9580880Z [ RUN ] TensorFactoryTest.MakeStridedWrongStrideForZeroDimDataDie 2024-06-26T05:15:40.9590356Z [ OK ] TensorFactoryTest.MakeStridedWrongStrideForZeroDimDataDie (0 ms) 2024-06-26T05:15:40.9591707Z [ RUN ] TensorFactoryTest.Full 2024-06-26T05:15:40.9592622Z [ OK ] TensorFactoryTest.Full (0 ms) 2024-06-26T05:15:40.9593650Z [ RUN ] TensorFactoryTest.FullFloat 2024-06-26T05:15:40.9594607Z [ OK ] TensorFactoryTest.FullFloat (0 ms) 2024-06-26T05:15:40.9595326Z [ RUN ] TensorFactoryTest.Zeros 2024-06-26T05:15:40.9596360Z [ OK ] TensorFactoryTest.Zeros (0 ms) 2024-06-26T05:15:40.9597141Z [ RUN ] TensorFactoryTest.Ones 2024-06-26T05:15:40.9597693Z [ OK ] TensorFactoryTest.Ones (0 ms) 2024-06-26T05:15:40.9598863Z [ RUN ] TensorFactoryTest.ZeroDimensionalTensor 2024-06-26T05:15:40.9600121Z [ OK ] TensorFactoryTest.ZeroDimensionalTensor (0 ms) 2024-06-26T05:15:40.9601268Z [ RUN ] TensorFactoryTest.EmptyTensor 2024-06-26T05:15:40.9602315Z [ OK ] TensorFactoryTest.EmptyTensor (0 ms) 2024-06-26T05:15:40.9603316Z [ RUN ] TensorFactoryTest.ZerosLike 2024-06-26T05:15:40.9604308Z [ OK ] TensorFactoryTest.ZerosLike (0 ms) 2024-06-26T05:15:40.9605596Z [ RUN ] TensorFactoryTest.ZerosLikeZeroDimensionalTensorSupported 2024-06-26T05:15:40.9607224Z [ OK ] TensorFactoryTest.ZerosLikeZeroDimensionalTensorSupported (0 ms) 2024-06-26T05:15:40.9608749Z [ RUN ] TensorFactoryTest.ZerosLikeEmptyTensorSupported 2024-06-26T05:15:40.9609943Z [ OK ] TensorFactoryTest.ZerosLikeEmptyTensorSupported (0 ms) 2024-06-26T05:15:40.9610650Z [ RUN ] TensorFactoryTest.OnesLike 2024-06-26T05:15:40.9611240Z [ OK ] TensorFactoryTest.OnesLike (0 ms) 2024-06-26T05:15:40.9612021Z [ RUN ] TensorFactoryTest.OnesLikeZeroDimensionalTensorSupported 2024-06-26T05:15:40.9612991Z [ OK ] TensorFactoryTest.OnesLikeZeroDimensionalTensorSupported (0 ms) 2024-06-26T05:15:40.9613995Z [ RUN ] TensorFactoryTest.OnesLikeEmptyTensorSupported 2024-06-26T05:15:40.9614829Z [ OK ] TensorFactoryTest.OnesLikeEmptyTensorSupported (0 ms) 2024-06-26T05:15:40.9615603Z [ RUN ] TensorFactoryTest.ZerosDynamismParameter 2024-06-26T05:15:40.9616356Z [ OK ] TensorFactoryTest.ZerosDynamismParameter (0 ms) 2024-06-26T05:15:40.9617126Z [ RUN ] TensorFactoryTest.ZerosLikeDynamismParameter 2024-06-26T05:15:40.9617916Z [ OK ] TensorFactoryTest.ZerosLikeDynamismParameter (0 ms) 2024-06-26T05:15:40.9618676Z [ RUN ] TensorFactoryTest.OnesDynamismParameter 2024-06-26T05:15:40.9619411Z [ OK ] TensorFactoryTest.OnesDynamismParameter (0 ms) 2024-06-26T05:15:40.9620251Z [ RUN ] TensorFactoryTest.OnesLikeDynamismParameter 2024-06-26T05:15:40.9621216Z [ OK ] TensorFactoryTest.OnesLikeDynamismParameter (0 ms) 2024-06-26T05:15:40.9622096Z [ RUN ] TensorFactoryTest.FullDynamismParameter 2024-06-26T05:15:40.9622898Z [ OK ] TensorFactoryTest.FullDynamismParameter (0 ms) 2024-06-26T05:15:40.9623620Z [ RUN ] TensorFactoryTest.MakeDynamismParameter 2024-06-26T05:15:40.9624357Z [ OK ] TensorFactoryTest.MakeDynamismParameter (0 ms) 2024-06-26T05:15:40.9625031Z [ RUN ] TensorFactoryTest.FullDynamic 2024-06-26T05:15:40.9637329Z [ OK ] TensorFactoryTest.FullDynamic (2 ms) 2024-06-26T05:15:40.9638348Z [ RUN ] TensorFactoryTest.MakeIntTensorDynamic 2024-06-26T05:15:40.9643233Z [ OK ] TensorFactoryTest.MakeIntTensorDynamic (2 ms) 2024-06-26T05:15:40.9644514Z [ RUN ] TensorFactoryTest.MakeZerosDynamic 2024-06-26T05:15:40.9690323Z [ OK ] TensorFactoryTest.MakeZerosDynamic (4 ms) 2024-06-26T05:15:40.9691563Z [ RUN ] TensorFactoryTest.DimOrderToStrideTest 2024-06-26T05:15:40.9693344Z [ OK ] TensorFactoryTest.DimOrderToStrideTest (0 ms) 2024-06-26T05:15:40.9694211Z [ RUN ] TensorFactoryTest.AmbgiuousDimOrderToStrideTest 2024-06-26T05:15:40.9695066Z [ OK ] TensorFactoryTest.AmbgiuousDimOrderToStrideTest (0 ms) 2024-06-26T05:15:40.9695833Z [----------] 48 tests from TensorFactoryTest (23 ms total) 2024-06-26T05:15:40.9696240Z 2024-06-26T05:15:40.9696587Z [----------] 3 tests from TensorListFactoryTest 2024-06-26T05:15:40.9697462Z [ RUN ] TensorListFactoryTest.ZerosLike 2024-06-26T05:15:40.9698485Z [ OK ] TensorListFactoryTest.ZerosLike (0 ms) 2024-06-26T05:15:40.9699433Z [ RUN ] TensorListFactoryTest.ZerosLikeMixedDtypes 2024-06-26T05:15:40.9700320Z [ OK ] TensorListFactoryTest.ZerosLikeMixedDtypes (0 ms) 2024-06-26T05:15:40.9701242Z [ RUN ] TensorListFactoryTest.ZerosLikeEmpty 2024-06-26T05:15:40.9702375Z [ OK ] TensorListFactoryTest.ZerosLikeEmpty (0 ms) 2024-06-26T05:15:40.9703562Z [----------] 3 tests from TensorListFactoryTest (0 ms total) 2024-06-26T05:15:40.9704053Z 2024-06-26T05:15:40.9704310Z [----------] Global test environment tear-down 2024-06-26T05:15:40.9704929Z [==========] 89 tests from 3 test suites ran. (28 ms total) 2024-06-26T05:15:40.9705476Z [ PASSED ] 89 tests. 2024-06-26T05:15:40.9712722Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test -object cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test' 2024-06-26T05:15:40.9719998Z + for test_dir in $(probe_tests) 2024-06-26T05:15:40.9720447Z + build_and_run_test runtime/core/exec_aten/util/test 2024-06-26T05:15:40.9720948Z + local test_dir=runtime/core/exec_aten/util/test 2024-06-26T05:15:40.9721373Z ++ pwd 2024-06-26T05:15:40.9722941Z + cmake runtime/core/exec_aten/util/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/runtime/core/exec_aten/util/test 2024-06-26T05:15:41.0427737Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:15:41.1393777Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:15:41.1446675Z -- Detecting C compiler ABI info 2024-06-26T05:15:41.2529069Z -- Detecting C compiler ABI info - done 2024-06-26T05:15:41.2589885Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:15:41.2592360Z -- Detecting C compile features 2024-06-26T05:15:41.2596478Z -- Detecting C compile features - done 2024-06-26T05:15:41.2628603Z -- Detecting CXX compiler ABI info 2024-06-26T05:15:41.4649543Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:15:41.4715277Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:15:41.4718123Z -- Detecting CXX compile features 2024-06-26T05:15:41.4723080Z -- Detecting CXX compile features - done 2024-06-26T05:15:41.4806786Z flatccrt_d library is not found. 2024-06-26T05:15:41.4807435Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:41.4810255Z mpsdelegate library is not found. 2024-06-26T05:15:41.4810897Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:41.4813587Z qnn_executorch_backend library is not found. 2024-06-26T05:15:41.4814250Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:41.4824789Z vulkan_backend library is not found. 2024-06-26T05:15:41.4825576Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:41.4834852Z quantized_ops_aot_lib library is not found. 2024-06-26T05:15:41.4835525Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:41.4849474Z -- Looking for pthread.h 2024-06-26T05:15:41.5936697Z -- Looking for pthread.h - found 2024-06-26T05:15:41.5938004Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:15:41.7056526Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:15:41.7063817Z -- Found Threads: TRUE 2024-06-26T05:15:41.7073619Z -- Configuring done 2024-06-26T05:15:41.7108259Z -- Generating done 2024-06-26T05:15:41.7130350Z -- Build files have been written to: /executorch/cmake-out/runtime/core/exec_aten/util/test 2024-06-26T05:15:41.7158559Z + cmake --build cmake-out/runtime/core/exec_aten/util/test -j9 2024-06-26T05:15:41.7440616Z [ 16%] Building CXX object CMakeFiles/runtime_core_exec_aten_util_test.dir/tensor_util_test.cpp.o 2024-06-26T05:15:41.7444832Z [ 50%] Building CXX object CMakeFiles/runtime_core_exec_aten_util_test.dir/scalar_type_util_test.cpp.o 2024-06-26T05:15:41.7447117Z [ 50%] Building CXX object CMakeFiles/runtime_core_exec_aten_util_test.dir/operator_impl_example_test.cpp.o 2024-06-26T05:15:41.7450836Z [ 66%] Building CXX object CMakeFiles/runtime_core_exec_aten_util_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:15:41.7489411Z [ 83%] Building CXX object CMakeFiles/runtime_core_exec_aten_util_test.dir/dim_order_util_test.cpp.o 2024-06-26T05:15:42.0600279Z [100%] Linking CXX executable runtime_core_exec_aten_util_test 2024-06-26T05:15:42.5764228Z [100%] Built target runtime_core_exec_aten_util_test 2024-06-26T05:15:42.5827658Z + [[ runtime/core/exec_aten/util/test =~ .*tokenizer.* ]] 2024-06-26T05:15:42.5830827Z ++ realpath extension/module/test/resources 2024-06-26T05:15:42.5839029Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:15:42.5839968Z + export RESOURCES_PATH 2024-06-26T05:15:42.5840463Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:42.5841189Z + '[' -e cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test ']' 2024-06-26T05:15:42.5843057Z ++ basename cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test 2024-06-26T05:15:42.5851251Z + LLVM_PROFILE_FILE=cmake-out/runtime_core_exec_aten_util_test.profraw 2024-06-26T05:15:42.5852099Z + ./cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test 2024-06-26T05:15:42.5866363Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:15:42.5867510Z [==========] Running 54 tests from 5 test suites. 2024-06-26T05:15:42.5868405Z [----------] Global test environment set-up. 2024-06-26T05:15:42.5868958Z [----------] 33 tests from TensorUtilTest 2024-06-26T05:15:42.5869540Z [ RUN ] TensorUtilTest.IdentityChecks 2024-06-26T05:15:42.5870177Z [ OK ] TensorUtilTest.IdentityChecks (0 ms) 2024-06-26T05:15:42.5871110Z [ RUN ] TensorUtilTest.SameShapesDifferentDtypes 2024-06-26T05:15:42.5974667Z [ OK ] TensorUtilTest.SameShapesDifferentDtypes (10 ms) 2024-06-26T05:15:42.5975478Z [ RUN ] TensorUtilTest.DifferentShapesSameDtypes 2024-06-26T05:15:42.6079772Z [ OK ] TensorUtilTest.DifferentShapesSameDtypes (10 ms) 2024-06-26T05:15:42.6080810Z [ RUN ] TensorUtilTest.ZeroDimensionalTensor 2024-06-26T05:15:42.6081523Z [ OK ] TensorUtilTest.ZeroDimensionalTensor (0 ms) 2024-06-26T05:15:42.6082163Z [ RUN ] TensorUtilTest.EmptyTensor 2024-06-26T05:15:42.6082741Z [ OK ] TensorUtilTest.EmptyTensor (0 ms) 2024-06-26T05:15:42.6083391Z [ RUN ] TensorUtilTest.GetLeadingDimsSmokeTest 2024-06-26T05:15:42.6084225Z [ OK ] TensorUtilTest.GetLeadingDimsSmokeTest (0 ms) 2024-06-26T05:15:42.6085004Z [ RUN ] TensorUtilTest.GetLeadingDimsInputOutOfBoundDies 2024-06-26T05:15:42.6111825Z [ OK ] TensorUtilTest.GetLeadingDimsInputOutOfBoundDies (3 ms) 2024-06-26T05:15:42.6112704Z [ RUN ] TensorUtilTest.GetTrailingDimsSmokeTest 2024-06-26T05:15:42.6113567Z [ OK ] TensorUtilTest.GetTrailingDimsSmokeTest (0 ms) 2024-06-26T05:15:42.6114370Z [ RUN ] TensorUtilTest.GetTrailingDimsInputOutOfBoundDies 2024-06-26T05:15:42.6142290Z [ OK ] TensorUtilTest.GetTrailingDimsInputOutOfBoundDies (3 ms) 2024-06-26T05:15:42.6143182Z [ RUN ] TensorUtilTest.ContiguousCheckSupported 2024-06-26T05:15:42.6153817Z [ OK ] TensorUtilTest.ContiguousCheckSupported (1 ms) 2024-06-26T05:15:42.6154625Z [ RUN ] TensorUtilTest.CheckSameContiguousStrideSupported 2024-06-26T05:15:42.6299988Z [ OK ] TensorUtilTest.CheckSameContiguousStrideSupported (14 ms) 2024-06-26T05:15:42.6301481Z [ RUN ] TensorUtilTest.ExtractIntScalarTensorSmoke 2024-06-26T05:15:42.6302932Z [ OK ] TensorUtilTest.ExtractIntScalarTensorSmoke (0 ms) 2024-06-26T05:15:42.6304487Z [ RUN ] TensorUtilTest.ExtractFloatScalarTensorFloatingTypeSmoke 2024-06-26T05:15:42.6306241Z [ OK ] TensorUtilTest.ExtractFloatScalarTensorFloatingTypeSmoke (0 ms) 2024-06-26T05:15:42.6308127Z [ RUN ] TensorUtilTest.ExtractFloatScalarTensorIntegralTypeSmoke 2024-06-26T05:15:42.6310010Z [ OK ] TensorUtilTest.ExtractFloatScalarTensorIntegralTypeSmoke (0 ms) 2024-06-26T05:15:42.6310897Z [ RUN ] TensorUtilTest.ExtractBoolScalarTensorSmoke 2024-06-26T05:15:42.6311683Z [ OK ] TensorUtilTest.ExtractBoolScalarTensorSmoke (0 ms) 2024-06-26T05:15:42.6312451Z [ RUN ] TensorUtilTest.FloatScalarTensorStressTests 2024-06-26T05:15:42.6313240Z [ OK ] TensorUtilTest.FloatScalarTensorStressTests (0 ms) 2024-06-26T05:15:42.6314067Z [ RUN ] TensorUtilTest.IntScalarTensorNotIntegralTypeFails 2024-06-26T05:15:42.6314935Z [ OK ] TensorUtilTest.IntScalarTensorNotIntegralTypeFails (0 ms) 2024-06-26T05:15:42.6315828Z [ RUN ] TensorUtilTest.FloatScalarTensorNotFloatingTypeFails 2024-06-26T05:15:42.6316743Z [ OK ] TensorUtilTest.FloatScalarTensorNotFloatingTypeFails (0 ms) 2024-06-26T05:15:42.6317637Z [ RUN ] TensorUtilTest.IntTensorNotScalarFails 2024-06-26T05:15:42.6318622Z [ OK ] TensorUtilTest.IntTensorNotScalarFails (0 ms) 2024-06-26T05:15:42.6319357Z [ RUN ] TensorUtilTest.FloatTensorNotScalarFails 2024-06-26T05:15:42.6320113Z [ OK ] TensorUtilTest.FloatTensorNotScalarFails (0 ms) 2024-06-26T05:15:42.6320837Z [ RUN ] TensorUtilTest.IntTensorOutOfBoundFails 2024-06-26T05:15:42.6321572Z [ OK ] TensorUtilTest.IntTensorOutOfBoundFails (0 ms) 2024-06-26T05:15:42.6322321Z [ RUN ] TensorUtilTest.FloatTensorOutOfBoundFails 2024-06-26T05:15:42.6323100Z [ OK ] TensorUtilTest.FloatTensorOutOfBoundFails (0 ms) 2024-06-26T05:15:42.6323900Z [ RUN ] TensorUtilTest.BoolScalarTensorNotBooleanTypeFails 2024-06-26T05:15:42.6324783Z [ OK ] TensorUtilTest.BoolScalarTensorNotBooleanTypeFails (0 ms) 2024-06-26T05:15:42.6325587Z [ RUN ] TensorUtilTest.BoolTensorNotScalarFails 2024-06-26T05:15:42.6326311Z [ OK ] TensorUtilTest.BoolTensorNotScalarFails (0 ms) 2024-06-26T05:15:42.6326994Z [ RUN ] TensorUtilTest.TensorIsRankTest 2024-06-26T05:15:42.6327634Z [ OK ] TensorUtilTest.TensorIsRankTest (0 ms) 2024-06-26T05:15:42.6328262Z [ RUN ] TensorUtilTest.TensorHasDimTest 2024-06-26T05:15:42.6328901Z [ OK ] TensorUtilTest.TensorHasDimTest (0 ms) 2024-06-26T05:15:42.6329653Z [ RUN ] TensorUtilTest.TensorsHaveSameDtypeTest 2024-06-26T05:15:42.6330381Z [ OK ] TensorUtilTest.TensorsHaveSameDtypeTest (0 ms) 2024-06-26T05:15:42.6331141Z [ RUN ] TensorUtilTest.TensorsHaveSameSizeAtDimTest 2024-06-26T05:15:42.6331921Z [ OK ] TensorUtilTest.TensorsHaveSameSizeAtDimTest (0 ms) 2024-06-26T05:15:42.6332717Z [ RUN ] TensorUtilTest.TensorsHaveSameShapeTest 2024-06-26T05:15:42.6333454Z [ OK ] TensorUtilTest.TensorsHaveSameShapeTest (0 ms) 2024-06-26T05:15:42.6334242Z [ RUN ] TensorUtilTest.TensorsHaveSameShapeAndDtypeTest 2024-06-26T05:15:42.6335086Z [ OK ] TensorUtilTest.TensorsHaveSameShapeAndDtypeTest (0 ms) 2024-06-26T05:15:42.6335874Z [ RUN ] TensorUtilTest.TensorsHaveSameStridesTest 2024-06-26T05:15:42.6336637Z [ OK ] TensorUtilTest.TensorsHaveSameStridesTest (0 ms) 2024-06-26T05:15:42.6337346Z [ RUN ] TensorUtilTest.TensorIsContiguous 2024-06-26T05:15:42.6338001Z [ OK ] TensorUtilTest.TensorIsContiguous (0 ms) 2024-06-26T05:15:42.6338832Z [ RUN ] TensorUtilTest.ResizeZeroDimTensor 2024-06-26T05:15:42.6340051Z [ OK ] TensorUtilTest.ResizeZeroDimTensor (0 ms) 2024-06-26T05:15:42.6341232Z [----------] 33 tests from TensorUtilTest (43 ms total) 2024-06-26T05:15:42.6341876Z 2024-06-26T05:15:42.6342276Z [----------] 8 tests from ScalarTypeUtilTest 2024-06-26T05:15:42.6343232Z [ RUN ] ScalarTypeUtilTest.ToString 2024-06-26T05:15:42.6344316Z [ OK ] ScalarTypeUtilTest.ToString (0 ms) 2024-06-26T05:15:42.6345321Z [ RUN ] ScalarTypeUtilTest.ElementSize 2024-06-26T05:15:42.6346350Z [ OK ] ScalarTypeUtilTest.ElementSize (0 ms) 2024-06-26T05:15:42.6347369Z [ RUN ] ScalarTypeUtilTest.IsValidTrue 2024-06-26T05:15:42.6348352Z [ OK ] ScalarTypeUtilTest.IsValidTrue (0 ms) 2024-06-26T05:15:42.6349364Z [ RUN ] ScalarTypeUtilTest.IsValidFalse 2024-06-26T05:15:42.6350014Z [ OK ] ScalarTypeUtilTest.IsValidFalse (0 ms) 2024-06-26T05:15:42.6350739Z [ RUN ] ScalarTypeUtilTest.UnknownTypeElementSizeDies 2024-06-26T05:15:42.6351938Z [ OK ] ScalarTypeUtilTest.UnknownTypeElementSizeDies (4 ms) 2024-06-26T05:15:42.6353200Z [ RUN ] ScalarTypeUtilTest.canCastTest 2024-06-26T05:15:42.6354520Z [ OK ] ScalarTypeUtilTest.canCastTest (0 ms) 2024-06-26T05:15:42.6355341Z [ RUN ] ScalarTypeUtilTest.promoteTypesTest 2024-06-26T05:15:42.6356035Z [ OK ] ScalarTypeUtilTest.promoteTypesTest (0 ms) 2024-06-26T05:15:42.6356802Z [ RUN ] ScalarTypeUtilTest.compileTypePromoteTypesTest 2024-06-26T05:15:42.6357629Z [ OK ] ScalarTypeUtilTest.compileTypePromoteTypesTest (0 ms) 2024-06-26T05:15:42.6358556Z [----------] 8 tests from ScalarTypeUtilTest (4 ms total) 2024-06-26T05:15:42.6358955Z 2024-06-26T05:15:42.6359225Z [----------] 3 tests from OperatorImplExampleTest 2024-06-26T05:15:42.6359869Z [ RUN ] OperatorImplExampleTest.AddIntTensors 2024-06-26T05:15:42.6360582Z [ OK ] OperatorImplExampleTest.AddIntTensors (0 ms) 2024-06-26T05:15:42.6361315Z [ RUN ] OperatorImplExampleTest.AddDoubleTensors 2024-06-26T05:15:42.6362064Z [ OK ] OperatorImplExampleTest.AddDoubleTensors (0 ms) 2024-06-26T05:15:42.6362832Z [ RUN ] OperatorImplExampleTest.UnhandledDtypeDies 2024-06-26T05:15:42.6365182Z [ OK ] OperatorImplExampleTest.UnhandledDtypeDies (1 ms) 2024-06-26T05:15:42.6366203Z [----------] 3 tests from OperatorImplExampleTest (1 ms total) 2024-06-26T05:15:42.6366622Z 2024-06-26T05:15:42.6366853Z [----------] 3 tests from OpAddOutKernelTest 2024-06-26T05:15:42.6367516Z [ RUN ] OpAddOutKernelTest.MismatchedInputDimsDies 2024-06-26T05:15:42.6375669Z [ OK ] OpAddOutKernelTest.MismatchedInputDimsDies (1 ms) 2024-06-26T05:15:42.6376455Z [ RUN ] OpAddOutKernelTest.MismatchedInputDtypesDies 2024-06-26T05:15:42.6387148Z [ OK ] OpAddOutKernelTest.MismatchedInputDtypesDies (1 ms) 2024-06-26T05:15:42.6387953Z [ RUN ] OpAddOutKernelTest.MixingUnhandledDtypeDies 2024-06-26T05:15:42.6398663Z [ OK ] OpAddOutKernelTest.MixingUnhandledDtypeDies (1 ms) 2024-06-26T05:15:42.6399638Z [----------] 3 tests from OpAddOutKernelTest (3 ms total) 2024-06-26T05:15:42.6400074Z 2024-06-26T05:15:42.6400302Z [----------] 7 tests from DimOrderUtilTest 2024-06-26T05:15:42.6400913Z [ RUN ] DimOrderUtilTest.DimOrderToStride 2024-06-26T05:15:42.6401571Z [ OK ] DimOrderUtilTest.DimOrderToStride (0 ms) 2024-06-26T05:15:42.6402241Z [ RUN ] DimOrderUtilTest.StrideToDimOrder 2024-06-26T05:15:42.6402919Z [ OK ] DimOrderUtilTest.StrideToDimOrder (0 ms) 2024-06-26T05:15:42.6403833Z [ RUN ] DimOrderUtilTest.StrideToDimOrderSameStrides 2024-06-26T05:15:42.6404921Z [ OK ] DimOrderUtilTest.StrideToDimOrderSameStrides (0 ms) 2024-06-26T05:15:42.6405790Z [ RUN ] DimOrderUtilTest.IsDefaultDimOrderTest 2024-06-26T05:15:42.6406520Z [ OK ] DimOrderUtilTest.IsDefaultDimOrderTest (0 ms) 2024-06-26T05:15:42.6407452Z [ RUN ] DimOrderUtilTest.IsDefaultDimOrderFailCasesTest 2024-06-26T05:15:42.6408305Z [ OK ] DimOrderUtilTest.IsDefaultDimOrderFailCasesTest (0 ms) 2024-06-26T05:15:42.6409329Z [ RUN ] DimOrderUtilTest.IsChannelsLastDimOrderTest 2024-06-26T05:15:42.6410109Z [ OK ] DimOrderUtilTest.IsChannelsLastDimOrderTest (0 ms) 2024-06-26T05:15:42.6410957Z [ RUN ] DimOrderUtilTest.IsChannelsLastDimOrderFailCasesTest 2024-06-26T05:15:42.6411875Z [ OK ] DimOrderUtilTest.IsChannelsLastDimOrderFailCasesTest (0 ms) 2024-06-26T05:15:42.6412676Z [----------] 7 tests from DimOrderUtilTest (0 ms total) 2024-06-26T05:15:42.6413071Z 2024-06-26T05:15:42.6413311Z [----------] Global test environment tear-down 2024-06-26T05:15:42.6413938Z [==========] 54 tests from 5 test suites ran. (53 ms total) 2024-06-26T05:15:42.6414478Z [ PASSED ] 54 tests. 2024-06-26T05:15:42.6422681Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test -object cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test -object cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test' 2024-06-26T05:15:42.6430070Z + for test_dir in $(probe_tests) 2024-06-26T05:15:42.6430519Z + build_and_run_test runtime/core/portable_type/test 2024-06-26T05:15:42.6431025Z + local test_dir=runtime/core/portable_type/test 2024-06-26T05:15:42.6431450Z ++ pwd 2024-06-26T05:15:42.6433006Z + cmake runtime/core/portable_type/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/runtime/core/portable_type/test 2024-06-26T05:15:42.7136414Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:15:42.8116254Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:15:42.8169921Z -- Detecting C compiler ABI info 2024-06-26T05:15:42.9232892Z -- Detecting C compiler ABI info - done 2024-06-26T05:15:42.9294496Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:15:42.9296570Z -- Detecting C compile features 2024-06-26T05:15:42.9300524Z -- Detecting C compile features - done 2024-06-26T05:15:42.9332066Z -- Detecting CXX compiler ABI info 2024-06-26T05:15:43.0900732Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:15:43.0966209Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:15:43.0968718Z -- Detecting CXX compile features 2024-06-26T05:15:43.0973698Z -- Detecting CXX compile features - done 2024-06-26T05:15:43.1056963Z flatccrt_d library is not found. 2024-06-26T05:15:43.1057650Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:43.1060042Z mpsdelegate library is not found. 2024-06-26T05:15:43.1060656Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:43.1063329Z qnn_executorch_backend library is not found. 2024-06-26T05:15:43.1064015Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:43.1074286Z vulkan_backend library is not found. 2024-06-26T05:15:43.1075078Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:43.1084376Z quantized_ops_aot_lib library is not found. 2024-06-26T05:15:43.1085049Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:43.1098552Z -- Looking for pthread.h 2024-06-26T05:15:43.2226454Z -- Looking for pthread.h - found 2024-06-26T05:15:43.2227557Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:15:43.3375178Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:15:43.3383590Z -- Found Threads: TRUE 2024-06-26T05:15:43.3393219Z -- Configuring done 2024-06-26T05:15:43.3430850Z -- Generating done 2024-06-26T05:15:43.3462677Z -- Build files have been written to: /executorch/cmake-out/runtime/core/portable_type/test 2024-06-26T05:15:43.3489790Z + cmake --build cmake-out/runtime/core/portable_type/test -j9 2024-06-26T05:15:43.3772405Z [ 14%] Building CXX object CMakeFiles/runtime_core_portable_type_test.dir/executor_tensor_test.cpp.o 2024-06-26T05:15:43.3779235Z [ 28%] Building CXX object CMakeFiles/runtime_core_portable_type_test.dir/scalar_test.cpp.o 2024-06-26T05:15:43.3787251Z [ 42%] Building CXX object CMakeFiles/runtime_core_portable_type_test.dir/half_test.cpp.o 2024-06-26T05:15:43.3789347Z [ 57%] Building CXX object CMakeFiles/runtime_core_portable_type_test.dir/optional_test.cpp.o 2024-06-26T05:15:43.3826923Z [ 71%] Building CXX object CMakeFiles/runtime_core_portable_type_test.dir/tensor_impl_test.cpp.o 2024-06-26T05:15:43.3841204Z [ 85%] Building CXX object CMakeFiles/runtime_core_portable_type_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:15:43.5868458Z /executorch/runtime/core/portable_type/test/executor_tensor_test.cpp:38:5: warning: 'set_data' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:43.5869503Z a.set_data(nullptr); 2024-06-26T05:15:43.5869808Z ^ 2024-06-26T05:15:43.5870919Z /executorch/runtime/core/portable_type/test/../../../../../executorch/runtime/core/portable_type/tensor.h:148:3: note: 'set_data' has been explicitly marked deprecated here 2024-06-26T05:15:43.5872072Z __ET_DEPRECATED void set_data(void* ptr) const { 2024-06-26T05:15:43.5872502Z ^ 2024-06-26T05:15:43.5873460Z /executorch/runtime/core/portable_type/test/../../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:43.5874592Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:43.5874988Z ^ 2024-06-26T05:15:43.5875317Z 1 warning generated. 2024-06-26T05:15:43.7008753Z [100%] Linking CXX executable runtime_core_portable_type_test 2024-06-26T05:15:44.0311084Z [100%] Built target runtime_core_portable_type_test 2024-06-26T05:15:44.0417911Z + [[ runtime/core/portable_type/test =~ .*tokenizer.* ]] 2024-06-26T05:15:44.0420729Z ++ realpath extension/module/test/resources 2024-06-26T05:15:44.0428986Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:15:44.0429602Z + export RESOURCES_PATH 2024-06-26T05:15:44.0430105Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:44.0430837Z + '[' -e cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test ']' 2024-06-26T05:15:44.0432757Z ++ basename cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test 2024-06-26T05:15:44.0441090Z + LLVM_PROFILE_FILE=cmake-out/runtime_core_portable_type_test.profraw 2024-06-26T05:15:44.0442554Z + ./cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test 2024-06-26T05:15:44.0457160Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:15:44.0458478Z [==========] Running 52 tests from 5 test suites. 2024-06-26T05:15:44.0459146Z [----------] Global test environment set-up. 2024-06-26T05:15:44.0459803Z [----------] 16 tests from TestOptional 2024-06-26T05:15:44.0460409Z [ RUN ] TestOptional.DefaultHasNoValue 2024-06-26T05:15:44.0461200Z [ OK ] TestOptional.DefaultHasNoValue (0 ms) 2024-06-26T05:15:44.0461826Z [ RUN ] TestOptional.NulloptHasNoValue 2024-06-26T05:15:44.0462437Z [ OK ] TestOptional.NulloptHasNoValue (0 ms) 2024-06-26T05:15:44.0463143Z [ RUN ] TestOptional.ValueOfEmptyOptionalShouldDie 2024-06-26T05:15:44.0469206Z [ OK ] TestOptional.ValueOfEmptyOptionalShouldDie (1 ms) 2024-06-26T05:15:44.0470321Z [ RUN ] TestOptional.IntValue 2024-06-26T05:15:44.0470895Z [ OK ] TestOptional.IntValue (0 ms) 2024-06-26T05:15:44.0471500Z [ RUN ] TestOptional.NonTrivialValueType 2024-06-26T05:15:44.0472156Z [ OK ] TestOptional.NonTrivialValueType (0 ms) 2024-06-26T05:15:44.0472751Z [ RUN ] TestOptional.ConstValue 2024-06-26T05:15:44.0473301Z [ OK ] TestOptional.ConstValue (0 ms) 2024-06-26T05:15:44.0474012Z [ RUN ] TestOptional.CopyCtorWithValue 2024-06-26T05:15:44.0474634Z [ OK ] TestOptional.CopyCtorWithValue (0 ms) 2024-06-26T05:15:44.0475270Z [ RUN ] TestOptional.CopyCtorWithNoValue 2024-06-26T05:15:44.0475923Z [ OK ] TestOptional.CopyCtorWithNoValue (0 ms) 2024-06-26T05:15:44.0476544Z [ RUN ] TestOptional.CopyAssignTrivial 2024-06-26T05:15:44.0477169Z [ OK ] TestOptional.CopyAssignTrivial (0 ms) 2024-06-26T05:15:44.0477814Z [ RUN ] TestOptional.CopyAssignNonTrivial 2024-06-26T05:15:44.0478625Z [ OK ] TestOptional.CopyAssignNonTrivial (0 ms) 2024-06-26T05:15:44.0479368Z [ RUN ] TestOptional.CopyAssignNone 2024-06-26T05:15:44.0479972Z [ OK ] TestOptional.CopyAssignNone (0 ms) 2024-06-26T05:15:44.0480581Z [ RUN ] TestOptional.MoveCtorWithNoValue 2024-06-26T05:15:44.0481230Z [ OK ] TestOptional.MoveCtorWithNoValue (0 ms) 2024-06-26T05:15:44.0481866Z [ RUN ] TestOptional.MoveCtorWithValue 2024-06-26T05:15:44.0482483Z [ OK ] TestOptional.MoveCtorWithValue (0 ms) 2024-06-26T05:15:44.0483136Z [ RUN ] TestOptional.MoveCtorNonTrivialType 2024-06-26T05:15:44.0483816Z [ OK ] TestOptional.MoveCtorNonTrivialType (0 ms) 2024-06-26T05:15:44.0484490Z [ RUN ] TestOptional.ImplicitReturnOfValue 2024-06-26T05:15:44.0485216Z [ OK ] TestOptional.ImplicitReturnOfValue (0 ms) 2024-06-26T05:15:44.0485907Z [ RUN ] TestOptional.ImplicitReturnOfNullopt 2024-06-26T05:15:44.0486604Z [ OK ] TestOptional.ImplicitReturnOfNullopt (0 ms) 2024-06-26T05:15:44.0487271Z [----------] 16 tests from TestOptional (1 ms total) 2024-06-26T05:15:44.0487651Z 2024-06-26T05:15:44.0487892Z [----------] 4 tests from TensorTest 2024-06-26T05:15:44.0488428Z [ RUN ] TensorTest.InvalidScalarType 2024-06-26T05:15:44.0509572Z [ OK ] TensorTest.InvalidScalarType (3 ms) 2024-06-26T05:15:44.0510554Z [ RUN ] TensorTest.SetData 2024-06-26T05:15:44.0511365Z [ OK ] TensorTest.SetData (0 ms) 2024-06-26T05:15:44.0512064Z [ RUN ] TensorTest.Strides 2024-06-26T05:15:44.0512645Z [ OK ] TensorTest.Strides (0 ms) 2024-06-26T05:15:44.0513678Z [ RUN ] TensorTest.ModifyDataOfConstTensor 2024-06-26T05:15:44.0514423Z [ OK ] TensorTest.ModifyDataOfConstTensor (0 ms) 2024-06-26T05:15:44.0515068Z [----------] 4 tests from TensorTest (3 ms total) 2024-06-26T05:15:44.0515440Z 2024-06-26T05:15:44.0515625Z [----------] 20 tests from HalfTest 2024-06-26T05:15:44.0516265Z [ RUN ] HalfTest.ArithmeticHalfAdd 2024-06-26T05:15:44.0516897Z [ OK ] HalfTest.ArithmeticHalfAdd (0 ms) 2024-06-26T05:15:44.0517797Z [ RUN ] HalfTest.ArithmeticHalfSub 2024-06-26T05:15:44.0519155Z [ OK ] HalfTest.ArithmeticHalfSub (0 ms) 2024-06-26T05:15:44.0519944Z [ RUN ] HalfTest.ArithmeticHalfMul 2024-06-26T05:15:44.0520783Z [ OK ] HalfTest.ArithmeticHalfMul (0 ms) 2024-06-26T05:15:44.0521581Z [ RUN ] HalfTest.ArithmeticHalfDiv 2024-06-26T05:15:44.0522214Z [ OK ] HalfTest.ArithmeticHalfDiv (0 ms) 2024-06-26T05:15:44.0522804Z [ RUN ] HalfTest.ArithmeticFloatAdd 2024-06-26T05:15:44.0523402Z [ OK ] HalfTest.ArithmeticFloatAdd (0 ms) 2024-06-26T05:15:44.0523992Z [ RUN ] HalfTest.ArithmeticFloatSub 2024-06-26T05:15:44.0524570Z [ OK ] HalfTest.ArithmeticFloatSub (0 ms) 2024-06-26T05:15:44.0525158Z [ RUN ] HalfTest.ArithmeticFloatMul 2024-06-26T05:15:44.0525752Z [ OK ] HalfTest.ArithmeticFloatMul (0 ms) 2024-06-26T05:15:44.0526327Z [ RUN ] HalfTest.ArithmeticFloatDiv 2024-06-26T05:15:44.0526981Z [ OK ] HalfTest.ArithmeticFloatDiv (0 ms) 2024-06-26T05:15:44.0527583Z [ RUN ] HalfTest.ArithmeticDoubleAdd 2024-06-26T05:15:44.0528172Z [ OK ] HalfTest.ArithmeticDoubleAdd (0 ms) 2024-06-26T05:15:44.0528767Z [ RUN ] HalfTest.ArithmeticDoubleSub 2024-06-26T05:15:44.0529370Z [ OK ] HalfTest.ArithmeticDoubleSub (0 ms) 2024-06-26T05:15:44.0529952Z [ RUN ] HalfTest.ArithmeticDoubleMul 2024-06-26T05:15:44.0530555Z [ OK ] HalfTest.ArithmeticDoubleMul (0 ms) 2024-06-26T05:15:44.0531146Z [ RUN ] HalfTest.ArithmeticDoubleDiv 2024-06-26T05:15:44.0531731Z [ OK ] HalfTest.ArithmeticDoubleDiv (0 ms) 2024-06-26T05:15:44.0532325Z [ RUN ] HalfTest.ArithmeticInt32Add 2024-06-26T05:15:44.0532947Z [ OK ] HalfTest.ArithmeticInt32Add (0 ms) 2024-06-26T05:15:44.0533538Z [ RUN ] HalfTest.ArithmeticInt32Sub 2024-06-26T05:15:44.0534115Z [ OK ] HalfTest.ArithmeticInt32Sub (0 ms) 2024-06-26T05:15:44.0534696Z [ RUN ] HalfTest.ArithmeticInt32Mul 2024-06-26T05:15:44.0535289Z [ OK ] HalfTest.ArithmeticInt32Mul (0 ms) 2024-06-26T05:15:44.0535859Z [ RUN ] HalfTest.ArithmeticInt32Div 2024-06-26T05:15:44.0536442Z [ OK ] HalfTest.ArithmeticInt32Div (0 ms) 2024-06-26T05:15:44.0537021Z [ RUN ] HalfTest.ArithmeticInt64Add 2024-06-26T05:15:44.0537596Z [ OK ] HalfTest.ArithmeticInt64Add (0 ms) 2024-06-26T05:15:44.0538227Z [ RUN ] HalfTest.ArithmeticInt64Sub 2024-06-26T05:15:44.0538820Z [ OK ] HalfTest.ArithmeticInt64Sub (0 ms) 2024-06-26T05:15:44.0539390Z [ RUN ] HalfTest.ArithmeticInt64Mul 2024-06-26T05:15:44.0540060Z [ OK ] HalfTest.ArithmeticInt64Mul (0 ms) 2024-06-26T05:15:44.0540694Z [ RUN ] HalfTest.ArithmeticInt64Div 2024-06-26T05:15:44.0541271Z [ OK ] HalfTest.ArithmeticInt64Div (0 ms) 2024-06-26T05:15:44.0541877Z [----------] 20 tests from HalfTest (0 ms total) 2024-06-26T05:15:44.0542240Z 2024-06-26T05:15:44.0542430Z [----------] 4 tests from ScalarTest 2024-06-26T05:15:44.0542935Z [ RUN ] ScalarTest.ToScalarType 2024-06-26T05:15:44.0543472Z [ OK ] ScalarTest.ToScalarType (0 ms) 2024-06-26T05:15:44.0544099Z [ RUN ] ScalarTest.ToIntForFalseScalarPasses 2024-06-26T05:15:44.0544791Z [ OK ] ScalarTest.ToIntForFalseScalarPasses (0 ms) 2024-06-26T05:15:44.0545464Z [ RUN ] ScalarTest.ToIntForTrueScalarPasses 2024-06-26T05:15:44.0546143Z [ OK ] ScalarTest.ToIntForTrueScalarPasses (0 ms) 2024-06-26T05:15:44.0546767Z [ RUN ] ScalarTest.IntConstructor 2024-06-26T05:15:44.0547327Z [ OK ] ScalarTest.IntConstructor (0 ms) 2024-06-26T05:15:44.0547931Z [----------] 4 tests from ScalarTest (0 ms total) 2024-06-26T05:15:44.0548284Z 2024-06-26T05:15:44.0548507Z [----------] 8 tests from TensorImplTest 2024-06-26T05:15:44.0549128Z [ RUN ] TensorImplTest.TestCtorAndGetters 2024-06-26T05:15:44.0549795Z [ OK ] TensorImplTest.TestCtorAndGetters (0 ms) 2024-06-26T05:15:44.0550507Z [ RUN ] TensorImplTest.TestSetSizesContigContract 2024-06-26T05:15:44.0551270Z [ OK ] TensorImplTest.TestSetSizesContigContract (0 ms) 2024-06-26T05:15:44.0552019Z [ RUN ] TensorImplTest.TestSetSizesContigZeroSizes 2024-06-26T05:15:44.0552795Z [ OK ] TensorImplTest.TestSetSizesContigZeroSizes (0 ms) 2024-06-26T05:15:44.0553546Z [ RUN ] TensorImplTest.TestSetSizesContigStatic 2024-06-26T05:15:44.0554269Z [ OK ] TensorImplTest.TestSetSizesContigStatic (0 ms) 2024-06-26T05:15:44.0555047Z [ RUN ] TensorImplTest.TestSetSizesContigUpperBounded 2024-06-26T05:15:44.0555868Z [ OK ] TensorImplTest.TestSetSizesContigUpperBounded (0 ms) 2024-06-26T05:15:44.0556705Z [ RUN ] TensorImplTest.TestZeroDimSetEmptySizesContig 2024-06-26T05:15:44.0557520Z [ OK ] TensorImplTest.TestZeroDimSetEmptySizesContig (0 ms) 2024-06-26T05:15:44.0558480Z [ RUN ] TensorImplTest.TestSetSizesContigUnbounded 2024-06-26T05:15:44.0559240Z [ OK ] TensorImplTest.TestSetSizesContigUnbounded (0 ms) 2024-06-26T05:15:44.0559932Z [ RUN ] TensorImplTest.TestWriteRead 2024-06-26T05:15:44.0560545Z [ OK ] TensorImplTest.TestWriteRead (0 ms) 2024-06-26T05:15:44.0561182Z [----------] 8 tests from TensorImplTest (0 ms total) 2024-06-26T05:15:44.0561554Z 2024-06-26T05:15:44.0561790Z [----------] Global test environment tear-down 2024-06-26T05:15:44.0562416Z [==========] 52 tests from 5 test suites ran. (5 ms total) 2024-06-26T05:15:44.0562958Z [ PASSED ] 52 tests. 2024-06-26T05:15:44.0571387Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test -object cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test -object cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test -object cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test' 2024-06-26T05:15:44.0579274Z + for test_dir in $(probe_tests) 2024-06-26T05:15:44.0579650Z + build_and_run_test runtime/core/test 2024-06-26T05:15:44.0580132Z + local test_dir=runtime/core/test 2024-06-26T05:15:44.0580490Z ++ pwd 2024-06-26T05:15:44.0581815Z + cmake runtime/core/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/runtime/core/test 2024-06-26T05:15:44.1256672Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:15:44.2255957Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:15:44.2308552Z -- Detecting C compiler ABI info 2024-06-26T05:15:44.3460362Z -- Detecting C compiler ABI info - done 2024-06-26T05:15:44.3521050Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:15:44.3522962Z -- Detecting C compile features 2024-06-26T05:15:44.3526515Z -- Detecting C compile features - done 2024-06-26T05:15:44.3558297Z -- Detecting CXX compiler ABI info 2024-06-26T05:15:44.5007979Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:15:44.5073491Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:15:44.5076004Z -- Detecting CXX compile features 2024-06-26T05:15:44.5080947Z -- Detecting CXX compile features - done 2024-06-26T05:15:44.5164602Z flatccrt_d library is not found. 2024-06-26T05:15:44.5165542Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:44.5168072Z mpsdelegate library is not found. 2024-06-26T05:15:44.5168956Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:44.5171387Z qnn_executorch_backend library is not found. 2024-06-26T05:15:44.5172416Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:44.5182341Z vulkan_backend library is not found. 2024-06-26T05:15:44.5183198Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:44.5192123Z quantized_ops_aot_lib library is not found. 2024-06-26T05:15:44.5193012Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:44.5207410Z -- Looking for pthread.h 2024-06-26T05:15:44.6384202Z -- Looking for pthread.h - found 2024-06-26T05:15:44.6385900Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:15:44.7576785Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:15:44.7584314Z -- Found Threads: TRUE 2024-06-26T05:15:44.7593706Z -- Configuring done 2024-06-26T05:15:44.7635122Z -- Generating done 2024-06-26T05:15:44.7728836Z -- Build files have been written to: /executorch/cmake-out/runtime/core/test 2024-06-26T05:15:44.7756406Z + cmake --build cmake-out/runtime/core/test -j9 2024-06-26T05:15:44.8041606Z [ 10%] Building CXX object CMakeFiles/runtime_core_test.dir/span_test.cpp.o 2024-06-26T05:15:44.8063108Z [ 20%] Building CXX object CMakeFiles/runtime_core_test.dir/freeable_buffer_test.cpp.o 2024-06-26T05:15:44.8066979Z [ 30%] Building CXX object CMakeFiles/runtime_core_test.dir/array_ref_test.cpp.o 2024-06-26T05:15:44.8070116Z [ 50%] Building CXX object CMakeFiles/runtime_core_test.dir/memory_allocator_test.cpp.o 2024-06-26T05:15:44.8073083Z [ 50%] Building CXX object CMakeFiles/runtime_core_test.dir/event_tracer_test.cpp.o 2024-06-26T05:15:44.8092908Z [ 60%] Building CXX object CMakeFiles/runtime_core_test.dir/hierarchical_allocator_test.cpp.o 2024-06-26T05:15:44.8095800Z [ 70%] Building CXX object CMakeFiles/runtime_core_test.dir/error_handling_test.cpp.o 2024-06-26T05:15:44.8100947Z [ 80%] Building CXX object CMakeFiles/runtime_core_test.dir/evalue_test.cpp.o 2024-06-26T05:15:44.8106858Z [ 90%] Building CXX object CMakeFiles/runtime_core_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:15:45.1556081Z /executorch/runtime/core/test/hierarchical_allocator_test.cpp:101:25: warning: 'HierarchicalAllocator' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:45.1557268Z HierarchicalAllocator allocator(n_allocators, allocators); 2024-06-26T05:15:45.1557772Z ^ 2024-06-26T05:15:45.1559177Z /executorch/runtime/core/test/../../../../executorch/runtime/core/hierarchical_allocator.h:41:3: note: 'HierarchicalAllocator' has been explicitly marked deprecated here 2024-06-26T05:15:45.1560338Z __ET_DEPRECATED HierarchicalAllocator( 2024-06-26T05:15:45.1560736Z ^ 2024-06-26T05:15:45.1561584Z /executorch/runtime/core/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:45.1562500Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:45.1562890Z ^ 2024-06-26T05:15:45.1563209Z 1 warning generated. 2024-06-26T05:15:45.2587176Z [100%] Linking CXX executable runtime_core_test 2024-06-26T05:15:45.7634347Z [100%] Built target runtime_core_test 2024-06-26T05:15:45.7744244Z + [[ runtime/core/test =~ .*tokenizer.* ]] 2024-06-26T05:15:45.7746703Z ++ realpath extension/module/test/resources 2024-06-26T05:15:45.7754272Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:15:45.7755259Z + export RESOURCES_PATH 2024-06-26T05:15:45.7755829Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:45.7756387Z + '[' -e cmake-out/runtime/core/test/runtime_core_test ']' 2024-06-26T05:15:45.7758604Z ++ basename cmake-out/runtime/core/test/runtime_core_test 2024-06-26T05:15:45.7766208Z + LLVM_PROFILE_FILE=cmake-out/runtime_core_test.profraw 2024-06-26T05:15:45.7766963Z + ./cmake-out/runtime/core/test/runtime_core_test 2024-06-26T05:15:45.7785334Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:15:45.7787013Z [==========] Running 61 tests from 10 test suites. 2024-06-26T05:15:45.7788165Z [----------] Global test environment set-up. 2024-06-26T05:15:45.7788913Z [----------] 5 tests from SpanTest 2024-06-26T05:15:45.7789387Z [ RUN ] SpanTest.Ctors 2024-06-26T05:15:45.7789860Z [ OK ] SpanTest.Ctors (0 ms) 2024-06-26T05:15:45.7790368Z [ RUN ] SpanTest.MutableElements 2024-06-26T05:15:45.7790937Z [ OK ] SpanTest.MutableElements (0 ms) 2024-06-26T05:15:45.7791466Z [ RUN ] SpanTest.Empty 2024-06-26T05:15:45.7791920Z [ OK ] SpanTest.Empty (0 ms) 2024-06-26T05:15:45.7792389Z [ RUN ] SpanTest.Data 2024-06-26T05:15:45.7792844Z [ OK ] SpanTest.Data (0 ms) 2024-06-26T05:15:45.7793601Z [ RUN ] SpanTest.TriviallyCopyable 2024-06-26T05:15:45.7794622Z [ OK ] SpanTest.TriviallyCopyable (0 ms) 2024-06-26T05:15:45.7795665Z [----------] 5 tests from SpanTest (0 ms total) 2024-06-26T05:15:45.7796072Z 2024-06-26T05:15:45.7796305Z [----------] 8 tests from ErrorHandlingTest 2024-06-26T05:15:45.7796891Z [ RUN ] ErrorHandlingTest.ResultBasic 2024-06-26T05:15:45.7797510Z [ OK ] ErrorHandlingTest.ResultBasic (0 ms) 2024-06-26T05:15:45.7798423Z [ RUN ] ErrorHandlingTest.OkErrorNotPossible 2024-06-26T05:15:45.7799116Z [ OK ] ErrorHandlingTest.OkErrorNotPossible (0 ms) 2024-06-26T05:15:45.7799922Z [ RUN ] ErrorHandlingTest.ResultWithPrimitive 2024-06-26T05:15:45.7802760Z [ OK ] ErrorHandlingTest.ResultWithPrimitive (0 ms) 2024-06-26T05:15:45.7803971Z [ RUN ] ErrorHandlingTest.ResultWithCompound 2024-06-26T05:15:45.7805314Z [ OK ] ErrorHandlingTest.ResultWithCompound (0 ms) 2024-06-26T05:15:45.7806858Z [ RUN ] ErrorHandlingTest.ResultWithPointer 2024-06-26T05:15:45.7808190Z [ OK ] ErrorHandlingTest.ResultWithPointer (0 ms) 2024-06-26T05:15:45.7809257Z [ RUN ] ErrorHandlingTest.ResultUnwrap 2024-06-26T05:15:45.7810364Z [ OK ] ErrorHandlingTest.ResultUnwrap (0 ms) 2024-06-26T05:15:45.7811047Z [ RUN ] ErrorHandlingTest.ResultNoCopy 2024-06-26T05:15:45.7812026Z [ OK ] ErrorHandlingTest.ResultNoCopy (0 ms) 2024-06-26T05:15:45.7812949Z [ RUN ] ErrorHandlingTest.ResultMove 2024-06-26T05:15:45.7814006Z [ OK ] ErrorHandlingTest.ResultMove (0 ms) 2024-06-26T05:15:45.7814722Z [----------] 8 tests from ErrorHandlingTest (0 ms total) 2024-06-26T05:15:45.7815144Z 2024-06-26T05:15:45.7815429Z [----------] 3 tests from TestEventTracer 2024-06-26T05:15:45.7816091Z [ RUN ] TestEventTracer.SimpleEventTracerTest 2024-06-26T05:15:45.7816849Z [ OK ] TestEventTracer.SimpleEventTracerTest (0 ms) 2024-06-26T05:15:45.7817667Z [ RUN ] TestEventTracer.SimpleEventTracerTestDelegate 2024-06-26T05:15:45.7818543Z [ OK ] TestEventTracer.SimpleEventTracerTestDelegate (0 ms) 2024-06-26T05:15:45.7819527Z [ RUN ] TestEventTracer.SimpleEventTracerTestLogging 2024-06-26T05:15:45.7820455Z [ OK ] TestEventTracer.SimpleEventTracerTestLogging (0 ms) 2024-06-26T05:15:45.7821256Z [----------] 3 tests from TestEventTracer (0 ms total) 2024-06-26T05:15:45.7821681Z 2024-06-26T05:15:45.7821925Z [----------] 5 tests from FreeableBufferTest 2024-06-26T05:15:45.7822507Z [ RUN ] FreeableBufferTest.EmptyTest 2024-06-26T05:15:45.7823158Z [ OK ] FreeableBufferTest.EmptyTest (0 ms) 2024-06-26T05:15:45.7823801Z [ RUN ] FreeableBufferTest.DataAndSizeTest 2024-06-26T05:15:45.7824481Z [ OK ] FreeableBufferTest.DataAndSizeTest (0 ms) 2024-06-26T05:15:45.7825137Z [ RUN ] FreeableBufferTest.FreeTest 2024-06-26T05:15:45.7825841Z [ OK ] FreeableBufferTest.FreeTest (0 ms) 2024-06-26T05:15:45.7826474Z [ RUN ] FreeableBufferTest.DestructorTest 2024-06-26T05:15:45.7827133Z [ OK ] FreeableBufferTest.DestructorTest (0 ms) 2024-06-26T05:15:45.7827763Z [ RUN ] FreeableBufferTest.MoveTest 2024-06-26T05:15:45.7828358Z [ OK ] FreeableBufferTest.MoveTest (0 ms) 2024-06-26T05:15:45.7829048Z [----------] 5 tests from FreeableBufferTest (0 ms total) 2024-06-26T05:15:45.7829453Z 2024-06-26T05:15:45.7829654Z [----------] 1 test from TestArrayRef 2024-06-26T05:15:45.7830243Z [ RUN ] TestArrayRef.ImplicitTypeConversion 2024-06-26T05:15:45.7830918Z [ OK ] TestArrayRef.ImplicitTypeConversion (0 ms) 2024-06-26T05:15:45.7831579Z [----------] 1 test from TestArrayRef (0 ms total) 2024-06-26T05:15:45.7831950Z 2024-06-26T05:15:45.7832185Z [----------] 8 tests from MemoryAllocatorTest 2024-06-26T05:15:45.7832816Z [ RUN ] MemoryAllocatorTest.MemoryAllocator 2024-06-26T05:15:45.7833491Z [ OK ] MemoryAllocatorTest.MemoryAllocator (0 ms) 2024-06-26T05:15:45.7834242Z [ RUN ] MemoryAllocatorTest.MemoryAllocatorAlignment 2024-06-26T05:15:45.7835046Z [ OK ] MemoryAllocatorTest.MemoryAllocatorAlignment (0 ms) 2024-06-26T05:15:45.7835970Z [ RUN ] MemoryAllocatorTest.MemoryAllocatorNonPowerOfTwoAlignment 2024-06-26T05:15:45.7836975Z [ OK ] MemoryAllocatorTest.MemoryAllocatorNonPowerOfTwoAlignment (0 ms) 2024-06-26T05:15:45.7838293Z [ RUN ] MemoryAllocatorTest.MemoryAllocatorTooLargeFailButSucceedAfterwards 2024-06-26T05:15:45.7839466Z [ OK ] MemoryAllocatorTest.MemoryAllocatorTooLargeFailButSucceedAfterwards (0 ms) 2024-06-26T05:15:45.7840407Z [ RUN ] MemoryAllocatorTest.AllocateInstance 2024-06-26T05:15:45.7841166Z [ OK ] MemoryAllocatorTest.AllocateInstance (0 ms) 2024-06-26T05:15:45.7841905Z [ RUN ] MemoryAllocatorTest.AllocateInstanceFailure 2024-06-26T05:15:45.7842686Z [ OK ] MemoryAllocatorTest.AllocateInstanceFailure (0 ms) 2024-06-26T05:15:45.7843404Z [ RUN ] MemoryAllocatorTest.AllocateList 2024-06-26T05:15:45.7844059Z [ OK ] MemoryAllocatorTest.AllocateList (0 ms) 2024-06-26T05:15:45.7844735Z [ RUN ] MemoryAllocatorTest.AllocateListFailure 2024-06-26T05:15:45.7845470Z [ OK ] MemoryAllocatorTest.AllocateListFailure (0 ms) 2024-06-26T05:15:45.7846211Z [----------] 8 tests from MemoryAllocatorTest (0 ms total) 2024-06-26T05:15:45.7846604Z 2024-06-26T05:15:45.7846828Z [----------] 12 tests from HelperMacrosTest 2024-06-26T05:15:45.7847444Z [ RUN ] HelperMacrosTest.TryAllocateSuccess 2024-06-26T05:15:45.7848129Z [ OK ] HelperMacrosTest.TryAllocateSuccess (0 ms) 2024-06-26T05:15:45.7848802Z [ RUN ] HelperMacrosTest.TryAllocateFailure 2024-06-26T05:15:45.7849552Z [ OK ] HelperMacrosTest.TryAllocateFailure (0 ms) 2024-06-26T05:15:45.7850324Z [ RUN ] HelperMacrosTest.AllocateOrReturnSuccess 2024-06-26T05:15:45.7851078Z [ OK ] HelperMacrosTest.AllocateOrReturnSuccess (0 ms) 2024-06-26T05:15:45.7851813Z [ RUN ] HelperMacrosTest.AllocateOrReturnFailure 2024-06-26T05:15:45.7852558Z [ OK ] HelperMacrosTest.AllocateOrReturnFailure (0 ms) 2024-06-26T05:15:45.7853329Z [ RUN ] HelperMacrosTest.TryAllocateInstanceSuccess 2024-06-26T05:15:45.7854102Z [ OK ] HelperMacrosTest.TryAllocateInstanceSuccess (0 ms) 2024-06-26T05:15:45.7854884Z [ RUN ] HelperMacrosTest.TryAllocateInstanceFailure 2024-06-26T05:15:45.7855669Z [ OK ] HelperMacrosTest.TryAllocateInstanceFailure (0 ms) 2024-06-26T05:15:45.7856475Z [ RUN ] HelperMacrosTest.AllocateInstanceOrReturnSuccess 2024-06-26T05:15:45.7857378Z [ OK ] HelperMacrosTest.AllocateInstanceOrReturnSuccess (0 ms) 2024-06-26T05:15:45.7858237Z [ RUN ] HelperMacrosTest.AllocateInstanceOrReturnFailure 2024-06-26T05:15:45.7859075Z [ OK ] HelperMacrosTest.AllocateInstanceOrReturnFailure (0 ms) 2024-06-26T05:15:45.7859929Z [ RUN ] HelperMacrosTest.TryAllocateListSuccess 2024-06-26T05:15:45.7860676Z [ OK ] HelperMacrosTest.TryAllocateListSuccess (0 ms) 2024-06-26T05:15:45.7861410Z [ RUN ] HelperMacrosTest.TryAllocateListFailure 2024-06-26T05:15:45.7862143Z [ OK ] HelperMacrosTest.TryAllocateListFailure (0 ms) 2024-06-26T05:15:45.7862923Z [ RUN ] HelperMacrosTest.AllocateListOrReturnSuccess 2024-06-26T05:15:45.7863725Z [ OK ] HelperMacrosTest.AllocateListOrReturnSuccess (0 ms) 2024-06-26T05:15:45.7864507Z [ RUN ] HelperMacrosTest.AllocateListOrReturnFailure 2024-06-26T05:15:45.7865309Z [ OK ] HelperMacrosTest.AllocateListOrReturnFailure (0 ms) 2024-06-26T05:15:45.7866055Z [----------] 12 tests from HelperMacrosTest (0 ms total) 2024-06-26T05:15:45.7866441Z 2024-06-26T05:15:45.7866705Z [----------] 2 tests from HierarchicalAllocatorTest 2024-06-26T05:15:45.7867331Z [ RUN ] HierarchicalAllocatorTest.Smoke 2024-06-26T05:15:45.7867977Z [ OK ] HierarchicalAllocatorTest.Smoke (0 ms) 2024-06-26T05:15:45.7868680Z [ RUN ] HierarchicalAllocatorTest.DEPRECATEDSmoke 2024-06-26T05:15:45.7869496Z [ OK ] HierarchicalAllocatorTest.DEPRECATEDSmoke (0 ms) 2024-06-26T05:15:45.7870305Z [----------] 2 tests from HierarchicalAllocatorTest (0 ms total) 2024-06-26T05:15:45.7870735Z 2024-06-26T05:15:45.7870944Z [----------] 16 tests from TestEValue 2024-06-26T05:15:45.7871467Z [ RUN ] TestEValue.CopyTrivialType 2024-06-26T05:15:45.7872102Z [ OK ] TestEValue.CopyTrivialType (0 ms) 2024-06-26T05:15:45.7872664Z [ RUN ] TestEValue.CopyTensor 2024-06-26T05:15:45.7873190Z [ OK ] TestEValue.CopyTensor (0 ms) 2024-06-26T05:15:45.7873773Z [ RUN ] TestEValue.TypeMismatchFatals 2024-06-26T05:15:45.7874389Z [ OK ] TestEValue.TypeMismatchFatals (1 ms) 2024-06-26T05:15:45.7874973Z [ RUN ] TestEValue.NoneByDefault 2024-06-26T05:15:45.7875579Z [ OK ] TestEValue.NoneByDefault (0 ms) 2024-06-26T05:15:45.7876146Z [ RUN ] TestEValue.ToOptionalInt 2024-06-26T05:15:45.7876709Z [ OK ] TestEValue.ToOptionalInt (0 ms) 2024-06-26T05:15:45.7877278Z [ RUN ] TestEValue.NoneToOptionalInt 2024-06-26T05:15:45.7877983Z [ OK ] TestEValue.NoneToOptionalInt (0 ms) 2024-06-26T05:15:45.7878614Z [ RUN ] TestEValue.ToOptionalScalar 2024-06-26T05:15:45.7879201Z [ OK ] TestEValue.ToOptionalScalar (0 ms) 2024-06-26T05:15:45.7879814Z [ RUN ] TestEValue.NoneToOptionalScalar 2024-06-26T05:15:45.7880458Z [ OK ] TestEValue.NoneToOptionalScalar (0 ms) 2024-06-26T05:15:45.7881153Z [ RUN ] TestEValue.NoneToOptionalTensor 2024-06-26T05:15:45.7881792Z [ OK ] TestEValue.NoneToOptionalTensor (0 ms) 2024-06-26T05:15:45.7882388Z [ RUN ] TestEValue.ToScalarType 2024-06-26T05:15:45.7882925Z [ OK ] TestEValue.ToScalarType (0 ms) 2024-06-26T05:15:45.7883458Z [ RUN ] TestEValue.toString 2024-06-26T05:15:45.7883970Z [ OK ] TestEValue.toString (0 ms) 2024-06-26T05:15:45.7884493Z [ RUN ] TestEValue.MemoryFormat 2024-06-26T05:15:45.7885044Z [ OK ] TestEValue.MemoryFormat (0 ms) 2024-06-26T05:15:45.7885566Z [ RUN ] TestEValue.Layout 2024-06-26T05:15:45.7886051Z [ OK ] TestEValue.Layout (0 ms) 2024-06-26T05:15:45.7886550Z [ RUN ] TestEValue.Device 2024-06-26T05:15:45.7887040Z [ OK ] TestEValue.Device (0 ms) 2024-06-26T05:15:45.7887611Z [ RUN ] TestEValue.BoxedEvalueList 2024-06-26T05:15:45.7888210Z [ OK ] TestEValue.BoxedEvalueList (0 ms) 2024-06-26T05:15:45.7888822Z [ RUN ] TestEValue.toOptionalTensorList 2024-06-26T05:15:45.7889470Z [ OK ] TestEValue.toOptionalTensorList (0 ms) 2024-06-26T05:15:45.7890102Z [----------] 16 tests from TestEValue (1 ms total) 2024-06-26T05:15:45.7890474Z 2024-06-26T05:15:45.7890660Z [----------] 1 test from TESTEValue 2024-06-26T05:15:45.7891180Z [ RUN ] TESTEValue.ScalarToType 2024-06-26T05:15:45.7891729Z [ OK ] TESTEValue.ScalarToType (0 ms) 2024-06-26T05:15:45.7892322Z [----------] 1 test from TESTEValue (0 ms total) 2024-06-26T05:15:45.7892668Z 2024-06-26T05:15:45.7892920Z [----------] Global test environment tear-down 2024-06-26T05:15:45.7893539Z [==========] 61 tests from 10 test suites ran. (1 ms total) 2024-06-26T05:15:45.7894085Z [ PASSED ] 61 tests. 2024-06-26T05:15:45.7902720Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test -object cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test -object cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test -object cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test -object cmake-out/runtime/core/test/runtime_core_test' 2024-06-26T05:15:45.7910968Z + for test_dir in $(probe_tests) 2024-06-26T05:15:45.7911375Z + build_and_run_test runtime/executor/test 2024-06-26T05:15:45.7911812Z + local test_dir=runtime/executor/test 2024-06-26T05:15:45.7912176Z ++ pwd 2024-06-26T05:15:45.7913556Z + cmake runtime/executor/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/runtime/executor/test 2024-06-26T05:15:45.8548669Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:15:45.9536506Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:15:45.9588477Z -- Detecting C compiler ABI info 2024-06-26T05:15:46.0735731Z -- Detecting C compiler ABI info - done 2024-06-26T05:15:46.0800391Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:15:46.0802465Z -- Detecting C compile features 2024-06-26T05:15:46.0806329Z -- Detecting C compile features - done 2024-06-26T05:15:46.0838490Z -- Detecting CXX compiler ABI info 2024-06-26T05:15:46.2426702Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:15:46.2492002Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:15:46.2494160Z -- Detecting CXX compile features 2024-06-26T05:15:46.2498782Z -- Detecting CXX compile features - done 2024-06-26T05:15:46.2583003Z flatccrt_d library is not found. 2024-06-26T05:15:46.2583798Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:46.2586442Z mpsdelegate library is not found. 2024-06-26T05:15:46.2587458Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:46.2589899Z qnn_executorch_backend library is not found. 2024-06-26T05:15:46.2590617Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:46.2600554Z vulkan_backend library is not found. 2024-06-26T05:15:46.2601203Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:46.2610290Z quantized_ops_aot_lib library is not found. 2024-06-26T05:15:46.2610969Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:46.2624891Z -- Looking for pthread.h 2024-06-26T05:15:46.3741815Z -- Looking for pthread.h - found 2024-06-26T05:15:46.3743182Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:15:46.5103295Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:15:46.5110793Z -- Found Threads: TRUE 2024-06-26T05:15:46.5126638Z -- Configuring done 2024-06-26T05:15:46.5246078Z -- Generating done 2024-06-26T05:15:46.5264586Z -- Build files have been written to: /executorch/cmake-out/runtime/executor/test 2024-06-26T05:15:46.5293226Z + cmake --build cmake-out/runtime/executor/test -j9 2024-06-26T05:15:46.5628503Z [ 4%] Building CXX object CMakeFiles/runtime_executor_test.dir/executor_test.cpp.o 2024-06-26T05:15:46.5631796Z [ 9%] Building CXX object CMakeFiles/tensor_parser_test.dir/tensor_parser_test.cpp.o 2024-06-26T05:15:46.5634199Z [ 14%] Building CXX object CMakeFiles/allocation_failure_stress_test.dir/allocation_failure_stress_test.cpp.o 2024-06-26T05:15:46.5640251Z [ 19%] Building CXX object CMakeFiles/kernel_resolution_test.dir/kernel_resolution_test.cpp.o 2024-06-26T05:15:46.5642533Z [ 23%] Building CXX object CMakeFiles/kernel_integration_test.dir/kernel_integration_test.cpp.o 2024-06-26T05:15:46.5645125Z [ 28%] Building CXX object CMakeFiles/runtime_executor_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:15:46.5647384Z [ 33%] Building CXX object CMakeFiles/method_test.dir/method_test.cpp.o 2024-06-26T05:15:46.5683835Z [ 38%] Building CXX object CMakeFiles/kernel_resolution_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:15:46.5715847Z [ 42%] Building CXX object CMakeFiles/memory_manager_test.dir/memory_manager_test.cpp.o 2024-06-26T05:15:46.9071643Z [ 47%] Building CXX object CMakeFiles/memory_manager_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:15:46.9384946Z [ 52%] Building CXX object CMakeFiles/allocation_failure_stress_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:15:46.9426241Z /executorch/runtime/executor/test/kernel_integration_test.cpp:160:38: warning: 'PrepareInputTensors' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9428512Z inputs_ = torch::executor::util::PrepareInputTensors(*method_); 2024-06-26T05:15:46.9429521Z ^ 2024-06-26T05:15:46.9431555Z /executorch/runtime/executor/test/../../../../executorch/util/util.h:33:1: note: 'PrepareInputTensors' has been explicitly marked deprecated here 2024-06-26T05:15:46.9433592Z __ET_DEPRECATED 2024-06-26T05:15:46.9434054Z ^ 2024-06-26T05:15:46.9435761Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9437576Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9438399Z ^ 2024-06-26T05:15:46.9440276Z /executorch/runtime/executor/test/kernel_integration_test.cpp:164:28: warning: 'FreeInputs' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9442186Z torch::executor::util::FreeInputs(inputs_); 2024-06-26T05:15:46.9442988Z ^ 2024-06-26T05:15:46.9444817Z /executorch/runtime/executor/test/../../../../executorch/util/util.h:48:1: note: 'FreeInputs' has been explicitly marked deprecated here 2024-06-26T05:15:46.9446681Z __ET_DEPRECATED 2024-06-26T05:15:46.9447168Z ^ 2024-06-26T05:15:46.9448868Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9450696Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9451442Z ^ 2024-06-26T05:15:46.9452020Z 2 warnings generated. 2024-06-26T05:15:46.9469771Z [ 57%] Linking CXX executable kernel_resolution_test 2024-06-26T05:15:46.9530779Z [ 61%] Building CXX object CMakeFiles/kernel_integration_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:15:46.9561277Z /executorch/runtime/executor/test/method_test.cpp:84:30: warning: 'PrepareInputTensors' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9563208Z torch::executor::util::PrepareInputTensors(*method); 2024-06-26T05:15:46.9564079Z ^ 2024-06-26T05:15:46.9565814Z /executorch/runtime/executor/test/../../../../executorch/util/util.h:33:1: note: 'PrepareInputTensors' has been explicitly marked deprecated here 2024-06-26T05:15:46.9567566Z __ET_DEPRECATED 2024-06-26T05:15:46.9568043Z ^ 2024-06-26T05:15:46.9569680Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9571436Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9572116Z ^ 2024-06-26T05:15:46.9574036Z /executorch/runtime/executor/test/method_test.cpp:99:26: warning: 'FreeInputs' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9575733Z torch::executor::util::FreeInputs(inputs); 2024-06-26T05:15:46.9576500Z ^ 2024-06-26T05:15:46.9578260Z /executorch/runtime/executor/test/../../../../executorch/util/util.h:48:1: note: 'FreeInputs' has been explicitly marked deprecated here 2024-06-26T05:15:46.9580102Z __ET_DEPRECATED 2024-06-26T05:15:46.9580570Z ^ 2024-06-26T05:15:46.9582031Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9583672Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9584340Z ^ 2024-06-26T05:15:46.9586048Z /executorch/runtime/executor/test/method_test.cpp:111:11: warning: 'get_input' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9587698Z method->get_input(0); 2024-06-26T05:15:46.9588317Z ^ 2024-06-26T05:15:46.9590114Z /executorch/runtime/executor/test/../../../../executorch/runtime/executor/method.h:239:3: note: 'get_input' has been explicitly marked deprecated here 2024-06-26T05:15:46.9592066Z __ET_DEPRECATED const EValue& get_input(size_t i) const; 2024-06-26T05:15:46.9592964Z ^ 2024-06-26T05:15:46.9594675Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9596332Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9597214Z ^ 2024-06-26T05:15:46.9599066Z /executorch/runtime/executor/test/method_test.cpp:112:11: warning: 'get_input' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9600793Z method->get_input(num_inputs - 1); 2024-06-26T05:15:46.9601472Z ^ 2024-06-26T05:15:46.9603302Z /executorch/runtime/executor/test/../../../../executorch/runtime/executor/method.h:239:3: note: 'get_input' has been explicitly marked deprecated here 2024-06-26T05:15:46.9605312Z __ET_DEPRECATED const EValue& get_input(size_t i) const; 2024-06-26T05:15:46.9606050Z ^ 2024-06-26T05:15:46.9607254Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9608191Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9608584Z ^ 2024-06-26T05:15:46.9609638Z /executorch/runtime/executor/test/method_test.cpp:115:27: warning: 'get_input' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9610644Z ET_EXPECT_DEATH(method->get_input(num_inputs), ""); 2024-06-26T05:15:46.9611086Z ^ 2024-06-26T05:15:46.9612131Z /executorch/runtime/executor/test/../../../../executorch/runtime/executor/method.h:239:3: note: 'get_input' has been explicitly marked deprecated here 2024-06-26T05:15:46.9613220Z __ET_DEPRECATED const EValue& get_input(size_t i) const; 2024-06-26T05:15:46.9613666Z ^ 2024-06-26T05:15:46.9614549Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9615486Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9615866Z ^ 2024-06-26T05:15:46.9616764Z /executorch/runtime/executor/test/method_test.cpp:116:27: warning: 'get_input' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9617784Z ET_EXPECT_DEATH(method->get_input(num_inputs + 1), ""); 2024-06-26T05:15:46.9618244Z ^ 2024-06-26T05:15:46.9619617Z /executorch/runtime/executor/test/../../../../executorch/runtime/executor/method.h:239:3: note: 'get_input' has been explicitly marked deprecated here 2024-06-26T05:15:46.9621692Z __ET_DEPRECATED const EValue& get_input(size_t i) const; 2024-06-26T05:15:46.9622557Z ^ 2024-06-26T05:15:46.9624318Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9626206Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9626912Z ^ 2024-06-26T05:15:46.9628664Z /executorch/runtime/executor/test/method_test.cpp:128:11: warning: 'mutable_input' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9630391Z method->mutable_input(0); 2024-06-26T05:15:46.9631058Z ^ 2024-06-26T05:15:46.9632910Z /executorch/runtime/executor/test/../../../../executorch/runtime/executor/method.h:242:3: note: 'mutable_input' has been explicitly marked deprecated here 2024-06-26T05:15:46.9634924Z __ET_DEPRECATED EValue& mutable_input(size_t i); 2024-06-26T05:15:46.9635716Z ^ 2024-06-26T05:15:46.9637383Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9662659Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9663312Z ^ 2024-06-26T05:15:46.9664600Z /executorch/runtime/executor/test/method_test.cpp:129:11: warning: 'mutable_input' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9665579Z method->mutable_input(num_inputs - 1); 2024-06-26T05:15:46.9665972Z ^ 2024-06-26T05:15:46.9666989Z /executorch/runtime/executor/test/../../../../executorch/runtime/executor/method.h:242:3: note: 'mutable_input' has been explicitly marked deprecated here 2024-06-26T05:15:46.9668056Z __ET_DEPRECATED EValue& mutable_input(size_t i); 2024-06-26T05:15:46.9668489Z ^ 2024-06-26T05:15:46.9669379Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9670460Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9670851Z ^ 2024-06-26T05:15:46.9671776Z /executorch/runtime/executor/test/method_test.cpp:132:27: warning: 'mutable_input' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9672798Z ET_EXPECT_DEATH(method->mutable_input(num_inputs), ""); 2024-06-26T05:15:46.9673559Z ^ 2024-06-26T05:15:46.9674820Z /executorch/runtime/executor/test/../../../../executorch/runtime/executor/method.h:242:3: note: 'mutable_input' has been explicitly marked deprecated here 2024-06-26T05:15:46.9675900Z __ET_DEPRECATED EValue& mutable_input(size_t i); 2024-06-26T05:15:46.9676320Z ^ 2024-06-26T05:15:46.9677364Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9678605Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9678984Z ^ 2024-06-26T05:15:46.9679918Z /executorch/runtime/executor/test/method_test.cpp:133:27: warning: 'mutable_input' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9680986Z ET_EXPECT_DEATH(method->mutable_input(num_inputs + 1), ""); 2024-06-26T05:15:46.9681463Z ^ 2024-06-26T05:15:46.9682534Z /executorch/runtime/executor/test/../../../../executorch/runtime/executor/method.h:242:3: note: 'mutable_input' has been explicitly marked deprecated here 2024-06-26T05:15:46.9683602Z __ET_DEPRECATED EValue& mutable_input(size_t i); 2024-06-26T05:15:46.9684013Z ^ 2024-06-26T05:15:46.9684897Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9685841Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9686232Z ^ 2024-06-26T05:15:46.9687152Z /executorch/runtime/executor/test/method_test.cpp:162:11: warning: 'mutable_output' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9688084Z method->mutable_output(0); 2024-06-26T05:15:46.9688412Z ^ 2024-06-26T05:15:46.9689403Z /executorch/runtime/executor/test/../../../../executorch/runtime/executor/method.h:245:3: note: 'mutable_output' has been explicitly marked deprecated here 2024-06-26T05:15:46.9690563Z __ET_DEPRECATED EValue& mutable_output(size_t i); 2024-06-26T05:15:46.9690996Z ^ 2024-06-26T05:15:46.9691859Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9692795Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9693185Z ^ 2024-06-26T05:15:46.9694161Z /executorch/runtime/executor/test/method_test.cpp:163:11: warning: 'mutable_output' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9695129Z method->mutable_output(num_outputs - 1); 2024-06-26T05:15:46.9695530Z ^ 2024-06-26T05:15:46.9696529Z /executorch/runtime/executor/test/../../../../executorch/runtime/executor/method.h:245:3: note: 'mutable_output' has been explicitly marked deprecated here 2024-06-26T05:15:46.9697610Z __ET_DEPRECATED EValue& mutable_output(size_t i); 2024-06-26T05:15:46.9698037Z ^ 2024-06-26T05:15:46.9698904Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9699906Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9700295Z ^ 2024-06-26T05:15:46.9701226Z /executorch/runtime/executor/test/method_test.cpp:166:27: warning: 'mutable_output' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9702262Z ET_EXPECT_DEATH(method->mutable_output(num_outputs), ""); 2024-06-26T05:15:46.9702743Z ^ 2024-06-26T05:15:46.9703816Z /executorch/runtime/executor/test/../../../../executorch/runtime/executor/method.h:245:3: note: 'mutable_output' has been explicitly marked deprecated here 2024-06-26T05:15:46.9704992Z __ET_DEPRECATED EValue& mutable_output(size_t i); 2024-06-26T05:15:46.9705420Z ^ 2024-06-26T05:15:46.9706297Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9707218Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9707610Z ^ 2024-06-26T05:15:46.9708537Z /executorch/runtime/executor/test/method_test.cpp:167:27: warning: 'mutable_output' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9709610Z ET_EXPECT_DEATH(method->mutable_output(num_outputs + 1), ""); 2024-06-26T05:15:46.9710105Z ^ 2024-06-26T05:15:46.9711222Z /executorch/runtime/executor/test/../../../../executorch/runtime/executor/method.h:245:3: note: 'mutable_output' has been explicitly marked deprecated here 2024-06-26T05:15:46.9712310Z __ET_DEPRECATED EValue& mutable_output(size_t i); 2024-06-26T05:15:46.9712727Z ^ 2024-06-26T05:15:46.9713609Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9714543Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9714918Z ^ 2024-06-26T05:15:46.9715887Z /executorch/runtime/executor/test/method_test.cpp:177:30: warning: 'PrepareInputTensors' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9716940Z torch::executor::util::PrepareInputTensors(*method); 2024-06-26T05:15:46.9717415Z ^ 2024-06-26T05:15:46.9718625Z /executorch/runtime/executor/test/../../../../executorch/util/util.h:33:1: note: 'PrepareInputTensors' has been explicitly marked deprecated here 2024-06-26T05:15:46.9730052Z __ET_DEPRECATED 2024-06-26T05:15:46.9730435Z ^ 2024-06-26T05:15:46.9731394Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9732364Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9732747Z ^ 2024-06-26T05:15:46.9733662Z /executorch/runtime/executor/test/method_test.cpp:193:26: warning: 'FreeInputs' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9734608Z torch::executor::util::FreeInputs(inputs); 2024-06-26T05:15:46.9735139Z ^ 2024-06-26T05:15:46.9736091Z /executorch/runtime/executor/test/../../../../executorch/util/util.h:48:1: note: 'FreeInputs' has been explicitly marked deprecated here 2024-06-26T05:15:46.9736987Z __ET_DEPRECATED 2024-06-26T05:15:46.9737239Z ^ 2024-06-26T05:15:46.9738118Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9739106Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9739488Z ^ 2024-06-26T05:15:46.9739913Z 16 warnings generated. 2024-06-26T05:15:46.9754989Z [ 66%] Building CXX object CMakeFiles/method_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:15:46.9802945Z /executorch/runtime/executor/test/allocation_failure_stress_test.cpp:89:32: warning: 'PrepareInputTensors' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9805066Z torch::executor::util::PrepareInputTensors(*method); 2024-06-26T05:15:46.9806634Z ^ 2024-06-26T05:15:46.9809343Z /executorch/runtime/executor/test/../../../../executorch/util/util.h:33:1: note: 'PrepareInputTensors' has been explicitly marked deprecated here 2024-06-26T05:15:46.9811454Z __ET_DEPRECATED 2024-06-26T05:15:46.9811944Z ^ 2024-06-26T05:15:46.9813661Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9815507Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9816407Z ^ 2024-06-26T05:15:46.9818396Z /executorch/runtime/executor/test/allocation_failure_stress_test.cpp:91:28: warning: 'FreeInputs' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9820471Z torch::executor::util::FreeInputs(inputs); 2024-06-26T05:15:46.9821251Z ^ 2024-06-26T05:15:46.9822963Z /executorch/runtime/executor/test/../../../../executorch/util/util.h:48:1: note: 'FreeInputs' has been explicitly marked deprecated here 2024-06-26T05:15:46.9824629Z __ET_DEPRECATED 2024-06-26T05:15:46.9825075Z ^ 2024-06-26T05:15:46.9826789Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9828601Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9829321Z ^ 2024-06-26T05:15:46.9831524Z /executorch/runtime/executor/test/allocation_failure_stress_test.cpp:125:32: warning: 'PrepareInputTensors' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9833619Z torch::executor::util::PrepareInputTensors(*method); 2024-06-26T05:15:46.9834490Z ^ 2024-06-26T05:15:46.9836448Z /executorch/runtime/executor/test/../../../../executorch/util/util.h:33:1: note: 'PrepareInputTensors' has been explicitly marked deprecated here 2024-06-26T05:15:46.9838427Z __ET_DEPRECATED 2024-06-26T05:15:46.9838908Z ^ 2024-06-26T05:15:46.9840617Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9842445Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9843159Z ^ 2024-06-26T05:15:46.9845064Z /executorch/runtime/executor/test/allocation_failure_stress_test.cpp:127:28: warning: 'FreeInputs' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:46.9846992Z torch::executor::util::FreeInputs(inputs); 2024-06-26T05:15:46.9847791Z ^ 2024-06-26T05:15:46.9849641Z /executorch/runtime/executor/test/../../../../executorch/util/util.h:48:1: note: 'FreeInputs' has been explicitly marked deprecated here 2024-06-26T05:15:46.9851328Z __ET_DEPRECATED 2024-06-26T05:15:46.9851809Z ^ 2024-06-26T05:15:46.9853498Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:46.9855443Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:46.9856164Z ^ 2024-06-26T05:15:46.9856766Z 4 warnings generated. 2024-06-26T05:15:46.9858568Z [ 71%] Building CXX object CMakeFiles/tensor_parser_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:15:47.0149413Z /executorch/runtime/executor/test/memory_manager_test.cpp:61:17: warning: 'MemoryManager' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:47.0151782Z MemoryManager mm( 2024-06-26T05:15:47.0152313Z ^ 2024-06-26T05:15:47.0154430Z /executorch/runtime/executor/test/../../../../executorch/runtime/executor/memory_manager.h:69:3: note: 'MemoryManager' has been explicitly marked deprecated here 2024-06-26T05:15:47.0156499Z __ET_DEPRECATED MemoryManager( 2024-06-26T05:15:47.0157155Z ^ 2024-06-26T05:15:47.0159010Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:47.0160817Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:47.0161545Z ^ 2024-06-26T05:15:47.0163394Z /executorch/runtime/executor/test/memory_manager_test.cpp:77:7: warning: 'MemoryManager' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:47.0165162Z MemoryManager( 2024-06-26T05:15:47.0165691Z ^ 2024-06-26T05:15:47.0167698Z /executorch/runtime/executor/test/../../../../executorch/runtime/executor/memory_manager.h:69:3: note: 'MemoryManager' has been explicitly marked deprecated here 2024-06-26T05:15:47.0169920Z __ET_DEPRECATED MemoryManager( 2024-06-26T05:15:47.0170560Z ^ 2024-06-26T05:15:47.0172265Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:47.0174087Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:47.0174815Z ^ 2024-06-26T05:15:47.0176643Z /executorch/runtime/executor/test/memory_manager_test.cpp:77:7: warning: 'MemoryManager' is deprecated [-Wdeprecated-declarations] 2024-06-26T05:15:47.0178415Z MemoryManager( 2024-06-26T05:15:47.0178939Z ^ 2024-06-26T05:15:47.0181009Z /executorch/runtime/executor/test/../../../../executorch/runtime/executor/memory_manager.h:69:3: note: 'MemoryManager' has been explicitly marked deprecated here 2024-06-26T05:15:47.0183082Z __ET_DEPRECATED MemoryManager( 2024-06-26T05:15:47.0183735Z ^ 2024-06-26T05:15:47.0185407Z /executorch/runtime/executor/test/../../../../executorch/runtime/platform/compiler.h:60:27: note: expanded from macro '__ET_DEPRECATED' 2024-06-26T05:15:47.0187171Z #define __ET_DEPRECATED [[deprecated]] 2024-06-26T05:15:47.0187878Z ^ 2024-06-26T05:15:47.0188443Z 3 warnings generated. 2024-06-26T05:15:47.0837592Z [ 76%] Linking CXX executable runtime_executor_test 2024-06-26T05:15:47.1406377Z [ 80%] Linking CXX executable memory_manager_test 2024-06-26T05:15:47.1579364Z [ 85%] Linking CXX executable allocation_failure_stress_test 2024-06-26T05:15:47.2466884Z [ 90%] Linking CXX executable kernel_integration_test 2024-06-26T05:15:47.2673833Z [ 95%] Linking CXX executable method_test 2024-06-26T05:15:47.2877283Z [100%] Linking CXX executable tensor_parser_test 2024-06-26T05:15:47.4297796Z [100%] Built target memory_manager_test 2024-06-26T05:15:47.5233905Z [100%] Built target kernel_resolution_test 2024-06-26T05:15:47.6807932Z [100%] Built target kernel_integration_test 2024-06-26T05:15:54.1888680Z [100%] Built target runtime_executor_test 2024-06-26T05:15:54.3297993Z [100%] Built target allocation_failure_stress_test 2024-06-26T05:15:54.4081214Z [100%] Built target tensor_parser_test 2024-06-26T05:15:54.8468743Z [100%] Built target method_test 2024-06-26T05:15:54.8533076Z + [[ runtime/executor/test =~ .*tokenizer.* ]] 2024-06-26T05:15:54.8535612Z ++ realpath extension/module/test/resources 2024-06-26T05:15:54.8543801Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:15:54.8544721Z + export RESOURCES_PATH 2024-06-26T05:15:54.8545231Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:54.8545891Z + '[' -e cmake-out/runtime/executor/test/allocation_failure_stress_test ']' 2024-06-26T05:15:54.8547836Z ++ basename cmake-out/runtime/executor/test/allocation_failure_stress_test 2024-06-26T05:15:54.8555473Z + LLVM_PROFILE_FILE=cmake-out/allocation_failure_stress_test.profraw 2024-06-26T05:15:54.8556741Z + ./cmake-out/runtime/executor/test/allocation_failure_stress_test 2024-06-26T05:15:54.8571937Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:15:54.8573315Z [==========] Running 2 tests from 1 test suite. 2024-06-26T05:15:54.8574336Z [----------] Global test environment set-up. 2024-06-26T05:15:54.8575412Z [----------] 2 tests from AllocationFailureStressTest 2024-06-26T05:15:54.8576913Z [ RUN ] AllocationFailureStressTest.End2EndIncreaseRuntimeMemUntilSuccess 2024-06-26T05:15:54.8578822Z [ OK ] AllocationFailureStressTest.End2EndIncreaseRuntimeMemUntilSuccess (0 ms) 2024-06-26T05:15:54.8580717Z [ RUN ] AllocationFailureStressTest.End2EndNonConstantMemUntilSuccess 2024-06-26T05:15:54.8582479Z [ OK ] AllocationFailureStressTest.End2EndNonConstantMemUntilSuccess (0 ms) 2024-06-26T05:15:54.8584046Z [----------] 2 tests from AllocationFailureStressTest (0 ms total) 2024-06-26T05:15:54.8584805Z 2024-06-26T05:15:54.8585436Z [----------] Global test environment tear-down 2024-06-26T05:15:54.8586501Z [==========] 2 tests from 1 test suite ran. (0 ms total) 2024-06-26T05:15:54.8587455Z [ PASSED ] 2 tests. 2024-06-26T05:15:54.8649112Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test -object cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test -object cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test -object cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test -object cmake-out/runtime/core/test/runtime_core_test -object cmake-out/runtime/executor/test/allocation_failure_stress_test' 2024-06-26T05:15:54.8664138Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:54.8665201Z + '[' -e cmake-out/runtime/executor/test/kernel_integration_test ']' 2024-06-26T05:15:54.8666474Z ++ basename cmake-out/runtime/executor/test/kernel_integration_test 2024-06-26T05:15:54.8667697Z + LLVM_PROFILE_FILE=cmake-out/kernel_integration_test.profraw 2024-06-26T05:15:54.8668855Z + ./cmake-out/runtime/executor/test/kernel_integration_test 2024-06-26T05:15:54.8670253Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:15:54.8671547Z [==========] Running 2 tests from 1 test suite. 2024-06-26T05:15:54.8672526Z [----------] Global test environment set-up. 2024-06-26T05:15:54.8673172Z [----------] 2 tests from KernelIntegrationTest 2024-06-26T05:15:54.8674014Z [ RUN ] KernelIntegrationTest.KernelHookIsCalled 2024-06-26T05:15:54.8674838Z [ OK ] KernelIntegrationTest.KernelHookIsCalled (0 ms) 2024-06-26T05:15:54.8675585Z [ RUN ] KernelIntegrationTest.FailurePropagates 2024-06-26T05:15:54.8676316Z [ OK ] KernelIntegrationTest.FailurePropagates (0 ms) 2024-06-26T05:15:54.8677203Z [----------] 2 tests from KernelIntegrationTest (0 ms total) 2024-06-26T05:15:54.8677670Z 2024-06-26T05:15:54.8678109Z [----------] Global test environment tear-down 2024-06-26T05:15:54.8678726Z [==========] 2 tests from 1 test suite ran. (0 ms total) 2024-06-26T05:15:54.8679254Z [ PASSED ] 2 tests. 2024-06-26T05:15:54.8691923Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test -object cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test -object cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test -object cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test -object cmake-out/runtime/core/test/runtime_core_test -object cmake-out/runtime/executor/test/allocation_failure_stress_test -object cmake-out/runtime/executor/test/kernel_integration_test' 2024-06-26T05:15:54.8707711Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:54.8708384Z + '[' -e cmake-out/runtime/executor/test/kernel_resolution_test ']' 2024-06-26T05:15:54.8709169Z ++ basename cmake-out/runtime/executor/test/kernel_resolution_test 2024-06-26T05:15:54.8709978Z + LLVM_PROFILE_FILE=cmake-out/kernel_resolution_test.profraw 2024-06-26T05:15:54.8710841Z + ./cmake-out/runtime/executor/test/kernel_resolution_test 2024-06-26T05:15:54.8711820Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:15:54.8713049Z [==========] Running 2 tests from 1 test suite. 2024-06-26T05:15:54.8714042Z [----------] Global test environment set-up. 2024-06-26T05:15:54.8715117Z [----------] 2 tests from KernelResolutionTest 2024-06-26T05:15:54.8716372Z [ RUN ] KernelResolutionTest.InitExecutionPlanSuccess 2024-06-26T05:15:54.8718821Z [ OK ] KernelResolutionTest.InitExecutionPlanSuccess (0 ms) 2024-06-26T05:15:54.8719852Z [ RUN ] KernelResolutionTest.ResolveKernelKeySuccess 2024-06-26T05:15:54.8720752Z [ OK ] KernelResolutionTest.ResolveKernelKeySuccess (0 ms) 2024-06-26T05:15:54.8721513Z [----------] 2 tests from KernelResolutionTest (0 ms total) 2024-06-26T05:15:54.8721929Z 2024-06-26T05:15:54.8722171Z [----------] Global test environment tear-down 2024-06-26T05:15:54.8722793Z [==========] 2 tests from 1 test suite ran. (0 ms total) 2024-06-26T05:15:54.8723307Z [ PASSED ] 2 tests. 2024-06-26T05:15:54.8733463Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test -object cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test -object cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test -object cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test -object cmake-out/runtime/core/test/runtime_core_test -object cmake-out/runtime/executor/test/allocation_failure_stress_test -object cmake-out/runtime/executor/test/kernel_integration_test -object cmake-out/runtime/executor/test/kernel_resolution_test' 2024-06-26T05:15:54.8745695Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:54.8746352Z + '[' -e cmake-out/runtime/executor/test/memory_manager_test ']' 2024-06-26T05:15:54.8747497Z ++ basename cmake-out/runtime/executor/test/memory_manager_test 2024-06-26T05:15:54.8748744Z + LLVM_PROFILE_FILE=cmake-out/memory_manager_test.profraw 2024-06-26T05:15:54.8749639Z + ./cmake-out/runtime/executor/test/memory_manager_test 2024-06-26T05:15:54.8750511Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:15:54.8751380Z [==========] Running 6 tests from 1 test suite. 2024-06-26T05:15:54.8752113Z [----------] Global test environment set-up. 2024-06-26T05:15:54.8753023Z [----------] 6 tests from MemoryManagerTest 2024-06-26T05:15:54.8753755Z [ RUN ] MemoryManagerTest.MinimalCtor 2024-06-26T05:15:54.8754485Z [ OK ] MemoryManagerTest.MinimalCtor (0 ms) 2024-06-26T05:15:54.8755173Z [ RUN ] MemoryManagerTest.CtorWithPlannedMemory 2024-06-26T05:15:54.8756339Z [ OK ] MemoryManagerTest.CtorWithPlannedMemory (0 ms) 2024-06-26T05:15:54.8757128Z [ RUN ] MemoryManagerTest.CtorWithPlannedMemoryAndTemp 2024-06-26T05:15:54.8758222Z [ OK ] MemoryManagerTest.CtorWithPlannedMemoryAndTemp (0 ms) 2024-06-26T05:15:54.8759066Z [ RUN ] MemoryManagerTest.DEPRECATEDCtor 2024-06-26T05:15:54.8759721Z [ OK ] MemoryManagerTest.DEPRECATEDCtor (0 ms) 2024-06-26T05:15:54.8760473Z [ RUN ] MemoryManagerTest.DeprecatedCtorWithSameAllocator 2024-06-26T05:15:54.8761345Z [ OK ] MemoryManagerTest.DeprecatedCtorWithSameAllocator (0 ms) 2024-06-26T05:15:54.8762145Z [ RUN ] MemoryManagerTest.CtorWithSameAllocator 2024-06-26T05:15:54.8762896Z [ OK ] MemoryManagerTest.CtorWithSameAllocator (0 ms) 2024-06-26T05:15:54.8763597Z [----------] 6 tests from MemoryManagerTest (1 ms total) 2024-06-26T05:15:54.8763994Z 2024-06-26T05:15:54.8764233Z [----------] Global test environment tear-down 2024-06-26T05:15:54.8764847Z [==========] 6 tests from 1 test suite ran. (1 ms total) 2024-06-26T05:15:54.8765392Z [ PASSED ] 6 tests. 2024-06-26T05:15:54.8776152Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test -object cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test -object cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test -object cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test -object cmake-out/runtime/core/test/runtime_core_test -object cmake-out/runtime/executor/test/allocation_failure_stress_test -object cmake-out/runtime/executor/test/kernel_integration_test -object cmake-out/runtime/executor/test/kernel_resolution_test -object cmake-out/runtime/executor/test/memory_manager_test' 2024-06-26T05:15:54.8786463Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:54.8786997Z + '[' -e cmake-out/runtime/executor/test/method_test ']' 2024-06-26T05:15:54.8787608Z ++ basename cmake-out/runtime/executor/test/method_test 2024-06-26T05:15:54.8788288Z + LLVM_PROFILE_FILE=cmake-out/method_test.profraw 2024-06-26T05:15:54.8788960Z + ./cmake-out/runtime/executor/test/method_test 2024-06-26T05:15:54.8790361Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:15:54.8791893Z [==========] Running 10 tests from 1 test suite. 2024-06-26T05:15:54.8792965Z [----------] Global test environment set-up. 2024-06-26T05:15:54.8793930Z [----------] 10 tests from MethodTest 2024-06-26T05:15:54.8794815Z [ RUN ] MethodTest.MoveTest 2024-06-26T05:15:54.8795768Z [ OK ] MethodTest.MoveTest (0 ms) 2024-06-26T05:15:54.8796746Z [ RUN ] MethodTest.GetInputTests 2024-06-26T05:15:54.8928791Z [ OK ] MethodTest.GetInputTests (14 ms) 2024-06-26T05:15:54.8929404Z [ RUN ] MethodTest.MutableInputTests 2024-06-26T05:15:54.9071094Z [ OK ] MethodTest.MutableInputTests (14 ms) 2024-06-26T05:15:54.9071833Z [ RUN ] MethodTest.GetOutputTests 2024-06-26T05:15:54.9208725Z [ OK ] MethodTest.GetOutputTests (13 ms) 2024-06-26T05:15:54.9209579Z [ RUN ] MethodTest.MutableOutputTests 2024-06-26T05:15:54.9341774Z [ OK ] MethodTest.MutableOutputTests (13 ms) 2024-06-26T05:15:54.9342579Z [ RUN ] MethodTest.SetPrimInputTest 2024-06-26T05:15:54.9343321Z [ OK ] MethodTest.SetPrimInputTest (0 ms) 2024-06-26T05:15:54.9344046Z [ RUN ] MethodTest.MethodMetaTest 2024-06-26T05:15:54.9344899Z [ OK ] MethodTest.MethodMetaTest (0 ms) 2024-06-26T05:15:54.9345682Z [ RUN ] MethodTest.AliasedIOTest 2024-06-26T05:15:54.9346482Z [ OK ] MethodTest.AliasedIOTest (0 ms) 2024-06-26T05:15:54.9347401Z [ RUN ] MethodTest.ConstantSegmentTest 2024-06-26T05:15:54.9348023Z [ OK ] MethodTest.ConstantSegmentTest (0 ms) 2024-06-26T05:15:54.9348631Z [ RUN ] MethodTest.ConstantBufferTest 2024-06-26T05:15:54.9349247Z [ OK ] MethodTest.ConstantBufferTest (0 ms) 2024-06-26T05:15:54.9349884Z [----------] 10 tests from MethodTest (56 ms total) 2024-06-26T05:15:54.9350258Z 2024-06-26T05:15:54.9350513Z [----------] Global test environment tear-down 2024-06-26T05:15:54.9351121Z [==========] 10 tests from 1 test suite ran. (56 ms total) 2024-06-26T05:15:54.9351658Z [ PASSED ] 10 tests. 2024-06-26T05:15:54.9413338Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test -object cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test -object cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test -object cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test -object cmake-out/runtime/core/test/runtime_core_test -object cmake-out/runtime/executor/test/allocation_failure_stress_test -object cmake-out/runtime/executor/test/kernel_integration_test -object cmake-out/runtime/executor/test/kernel_resolution_test -object cmake-out/runtime/executor/test/memory_manager_test -object cmake-out/runtime/executor/test/method_test' 2024-06-26T05:15:54.9431094Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:54.9432361Z + '[' -e cmake-out/runtime/executor/test/runtime_executor_test ']' 2024-06-26T05:15:54.9433544Z ++ basename cmake-out/runtime/executor/test/runtime_executor_test 2024-06-26T05:15:54.9434700Z + LLVM_PROFILE_FILE=cmake-out/runtime_executor_test.profraw 2024-06-26T05:15:54.9435817Z + ./cmake-out/runtime/executor/test/runtime_executor_test 2024-06-26T05:15:54.9437215Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:15:54.9438678Z [==========] Running 13 tests from 2 test suites. 2024-06-26T05:15:54.9439457Z [----------] Global test environment set-up. 2024-06-26T05:15:54.9440005Z [----------] 11 tests from ExecutorTest 2024-06-26T05:15:54.9440624Z [ RUN ] ExecutorTest.Tensor 2024-06-26T05:15:54.9441142Z [ OK ] ExecutorTest.Tensor (0 ms) 2024-06-26T05:15:54.9441654Z [ RUN ] ExecutorTest.EValue 2024-06-26T05:15:54.9442270Z [ OK ] ExecutorTest.EValue (0 ms) 2024-06-26T05:15:54.9442799Z [ RUN ] ExecutorTest.TensorHalf 2024-06-26T05:15:54.9443370Z [ OK ] ExecutorTest.TensorHalf (0 ms) 2024-06-26T05:15:54.9443988Z [ RUN ] ExecutorTest.RegistryLookupAndCall 2024-06-26T05:15:54.9444651Z [ OK ] ExecutorTest.RegistryLookupAndCall (0 ms) 2024-06-26T05:15:54.9445345Z [ RUN ] ExecutorTest.IntArrayRefSingleElement 2024-06-26T05:15:54.9446057Z [ OK ] ExecutorTest.IntArrayRefSingleElement (0 ms) 2024-06-26T05:15:54.9446750Z [ RUN ] ExecutorTest.IntArrayRefDataAndLength 2024-06-26T05:15:54.9447453Z [ OK ] ExecutorTest.IntArrayRefDataAndLength (0 ms) 2024-06-26T05:15:54.9448114Z [ RUN ] ExecutorTest.EValueFromScalar 2024-06-26T05:15:54.9448741Z [ OK ] ExecutorTest.EValueFromScalar (0 ms) 2024-06-26T05:15:54.9449331Z [ RUN ] ExecutorTest.EValueToScalar 2024-06-26T05:15:54.9449927Z [ OK ] ExecutorTest.EValueToScalar (0 ms) 2024-06-26T05:15:54.9450521Z [ RUN ] ExecutorTest.OpRegistration 2024-06-26T05:15:54.9507825Z [ OK ] ExecutorTest.OpRegistration (6 ms) 2024-06-26T05:15:54.9508968Z [ RUN ] ExecutorTest.OpRegistrationWithContext 2024-06-26T05:15:54.9510188Z [ OK ] ExecutorTest.OpRegistrationWithContext (0 ms) 2024-06-26T05:15:54.9511506Z [ RUN ] ExecutorTest.AddMulAlreadyRegistered 2024-06-26T05:15:54.9512673Z [ OK ] ExecutorTest.AddMulAlreadyRegistered (0 ms) 2024-06-26T05:15:54.9513791Z [----------] 11 tests from ExecutorTest (7 ms total) 2024-06-26T05:15:54.9514419Z 2024-06-26T05:15:54.9514790Z [----------] 2 tests from PyTreeEValue 2024-06-26T05:15:54.9515647Z [ RUN ] PyTreeEValue.List 2024-06-26T05:15:54.9516610Z [ OK ] PyTreeEValue.List (0 ms) 2024-06-26T05:15:54.9517550Z [ RUN ] PyTreeEValue.DestructedSpec 2024-06-26T05:15:54.9518799Z [ OK ] PyTreeEValue.DestructedSpec (0 ms) 2024-06-26T05:15:54.9519863Z [----------] 2 tests from PyTreeEValue (0 ms total) 2024-06-26T05:15:54.9520486Z 2024-06-26T05:15:54.9520904Z [----------] Global test environment tear-down 2024-06-26T05:15:54.9521942Z [==========] 13 tests from 2 test suites ran. (7 ms total) 2024-06-26T05:15:54.9522860Z [ PASSED ] 13 tests. 2024-06-26T05:15:54.9580492Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test -object cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test -object cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test -object cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test -object cmake-out/runtime/core/test/runtime_core_test -object cmake-out/runtime/executor/test/allocation_failure_stress_test -object cmake-out/runtime/executor/test/kernel_integration_test -object cmake-out/runtime/executor/test/kernel_resolution_test -object cmake-out/runtime/executor/test/memory_manager_test -object cmake-out/runtime/executor/test/method_test -object cmake-out/runtime/executor/test/runtime_executor_test' 2024-06-26T05:15:54.9591407Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:54.9592004Z + '[' -e cmake-out/runtime/executor/test/tensor_parser_test ']' 2024-06-26T05:15:54.9592702Z ++ basename cmake-out/runtime/executor/test/tensor_parser_test 2024-06-26T05:15:54.9593365Z + LLVM_PROFILE_FILE=cmake-out/tensor_parser_test.profraw 2024-06-26T05:15:54.9593972Z + ./cmake-out/runtime/executor/test/tensor_parser_test 2024-06-26T05:15:54.9598388Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:15:54.9599686Z [==========] Running 2 tests from 1 test suite. 2024-06-26T05:15:54.9600423Z [----------] Global test environment set-up. 2024-06-26T05:15:54.9601001Z [----------] 2 tests from TensorParserTest 2024-06-26T05:15:54.9601621Z [ RUN ] TensorParserTest.TestModuleAddFloat 2024-06-26T05:15:54.9602305Z [ OK ] TensorParserTest.TestModuleAddFloat (0 ms) 2024-06-26T05:15:54.9602983Z [ RUN ] TensorParserTest.TestModuleAddHalf 2024-06-26T05:15:54.9603661Z [ OK ] TensorParserTest.TestModuleAddHalf (0 ms) 2024-06-26T05:15:54.9604329Z [----------] 2 tests from TensorParserTest (0 ms total) 2024-06-26T05:15:54.9604720Z 2024-06-26T05:15:54.9604957Z [----------] Global test environment tear-down 2024-06-26T05:15:54.9605653Z [==========] 2 tests from 1 test suite ran. (0 ms total) 2024-06-26T05:15:54.9606181Z [ PASSED ] 2 tests. 2024-06-26T05:15:54.9671041Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test -object cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test -object cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test -object cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test -object cmake-out/runtime/core/test/runtime_core_test -object cmake-out/runtime/executor/test/allocation_failure_stress_test -object cmake-out/runtime/executor/test/kernel_integration_test -object cmake-out/runtime/executor/test/kernel_resolution_test -object cmake-out/runtime/executor/test/memory_manager_test -object cmake-out/runtime/executor/test/method_test -object cmake-out/runtime/executor/test/runtime_executor_test -object cmake-out/runtime/executor/test/tensor_parser_test' 2024-06-26T05:15:54.9681894Z + for test_dir in $(probe_tests) 2024-06-26T05:15:54.9682303Z + build_and_run_test runtime/kernel/test 2024-06-26T05:15:54.9682713Z + local test_dir=runtime/kernel/test 2024-06-26T05:15:54.9683088Z ++ pwd 2024-06-26T05:15:54.9684456Z + cmake runtime/kernel/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/runtime/kernel/test 2024-06-26T05:15:55.0384697Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:15:55.1346600Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:15:55.1399414Z -- Detecting C compiler ABI info 2024-06-26T05:15:55.2471920Z -- Detecting C compiler ABI info - done 2024-06-26T05:15:55.2534128Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:15:55.2536603Z -- Detecting C compile features 2024-06-26T05:15:55.2541732Z -- Detecting C compile features - done 2024-06-26T05:15:55.2572843Z -- Detecting CXX compiler ABI info 2024-06-26T05:15:55.3950706Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:15:55.4016267Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:15:55.4018705Z -- Detecting CXX compile features 2024-06-26T05:15:55.4023545Z -- Detecting CXX compile features - done 2024-06-26T05:15:55.4109941Z flatccrt_d library is not found. 2024-06-26T05:15:55.4110770Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:55.4113267Z mpsdelegate library is not found. 2024-06-26T05:15:55.4114124Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:55.4116654Z qnn_executorch_backend library is not found. 2024-06-26T05:15:55.4117541Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:55.4127691Z vulkan_backend library is not found. 2024-06-26T05:15:55.4128583Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:55.4137448Z quantized_ops_aot_lib library is not found. 2024-06-26T05:15:55.4138455Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:55.4152456Z -- Looking for pthread.h 2024-06-26T05:15:55.5248495Z -- Looking for pthread.h - found 2024-06-26T05:15:55.5249646Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:15:55.6333010Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:15:55.6340791Z -- Found Threads: TRUE 2024-06-26T05:15:55.6351085Z -- Configuring done 2024-06-26T05:15:55.6411649Z -- Generating done 2024-06-26T05:15:55.6439574Z -- Build files have been written to: /executorch/cmake-out/runtime/kernel/test 2024-06-26T05:15:55.6466775Z + cmake --build cmake-out/runtime/kernel/test -j9 2024-06-26T05:15:55.6767466Z [ 8%] Building CXX object CMakeFiles/operator_registry_max_kernel_num_test.dir/operator_registry_max_kernel_num_test.cpp.o 2024-06-26T05:15:55.6770340Z [ 16%] Building CXX object CMakeFiles/operator_registry_test.dir/operator_registry_test.cpp.o 2024-06-26T05:15:55.6771997Z [ 25%] Building CXX object CMakeFiles/kernel_runtime_context_test.dir/kernel_runtime_context_test.cpp.o 2024-06-26T05:15:55.6780790Z [ 33%] Building CXX object CMakeFiles/operator_registry_max_kernel_num_test.dir/executorch/runtime/kernel/operator_registry.cpp.o 2024-06-26T05:15:55.6784829Z [ 41%] Building CXX object CMakeFiles/operator_registry_max_kernel_num_test.dir/executorch/runtime/core/evalue.cpp.o 2024-06-26T05:15:55.6826441Z [ 50%] Building CXX object CMakeFiles/operator_registry_max_kernel_num_test.dir/executorch/runtime/platform/abort.cpp.o 2024-06-26T05:15:55.6837314Z [ 58%] Building CXX object CMakeFiles/operator_registry_max_kernel_num_test.dir/executorch/runtime/platform/log.cpp.o 2024-06-26T05:15:55.6896568Z [ 66%] Building CXX object CMakeFiles/operator_registry_max_kernel_num_test.dir/executorch/runtime/platform/runtime.cpp.o 2024-06-26T05:15:55.6912713Z [ 75%] Building CXX object CMakeFiles/operator_registry_max_kernel_num_test.dir/executorch/runtime/platform/default/posix.cpp.o 2024-06-26T05:15:55.9423748Z [ 83%] Linking CXX executable kernel_runtime_context_test 2024-06-26T05:15:55.9833426Z [ 91%] Linking CXX executable operator_registry_test 2024-06-26T05:15:56.0055909Z /executorch/runtime/kernel/test/operator_registry_max_kernel_num_test.cpp:47:9: warning: ignoring return value of function declared with 'nodiscard' attribute [-Wunused-result] 2024-06-26T05:15:56.0058240Z { register_kernels(kernels_array); }, 2024-06-26T05:15:56.0059050Z ^~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~ 2024-06-26T05:15:56.0060347Z /executorch/runtime/kernel/test/../../../../executorch/test/utils/DeathTest.h:38:29: note: expanded from macro 'ET_EXPECT_DEATH' 2024-06-26T05:15:56.0061279Z EXPECT_DEATH_IF_SUPPORTED(_statement, _matcher) 2024-06-26T05:15:56.0061732Z ^~~~~~~~~~ 2024-06-26T05:15:56.0062811Z /executorch/third-party/googletest/build/include/gtest/gtest-death-test.h:334:18: note: expanded from macro 'EXPECT_DEATH_IF_SUPPORTED' 2024-06-26T05:15:56.0063792Z EXPECT_DEATH(statement, regex) 2024-06-26T05:15:56.0064158Z ^~~~~~~~~ 2024-06-26T05:15:56.0065089Z /executorch/third-party/googletest/build/include/gtest/gtest-death-test.h:189:17: note: expanded from macro 'EXPECT_DEATH' 2024-06-26T05:15:56.0066217Z EXPECT_EXIT(statement, ::testing::internal::ExitedUnsuccessfully, matcher) 2024-06-26T05:15:56.0066802Z ^~~~~~~~~ 2024-06-26T05:15:56.0067442Z note: (skipping 1 expansions in backtrace; use -fmacro-backtrace-limit=0 to see all) 2024-06-26T05:15:56.0068867Z /executorch/third-party/googletest/build/include/gtest/internal/gtest-death-test-internal.h:235:47: note: expanded from macro 'GTEST_DEATH_TEST_' 2024-06-26T05:15:56.0070083Z GTEST_EXECUTE_DEATH_TEST_STATEMENT_(statement, gtest_dt); \ 2024-06-26T05:15:56.0070677Z ^~~~~~~~~ 2024-06-26T05:15:56.0072065Z /executorch/third-party/googletest/build/include/gtest/internal/gtest-death-test-internal.h:192:52: note: expanded from macro 'GTEST_EXECUTE_DEATH_TEST_STATEMENT_' 2024-06-26T05:15:56.0073342Z GTEST_SUPPRESS_UNREACHABLE_CODE_WARNING_BELOW_(statement); \ 2024-06-26T05:15:56.0073902Z ^~~~~~~~~ 2024-06-26T05:15:56.0075252Z /executorch/third-party/googletest/build/include/gtest/internal/gtest-internal.h:1364:5: note: expanded from macro 'GTEST_SUPPRESS_UNREACHABLE_CODE_WARNING_BELOW_' 2024-06-26T05:15:56.0076489Z statement; \ 2024-06-26T05:15:56.0076936Z ^~~~~~~~~ 2024-06-26T05:15:56.0077209Z 1 warning generated. 2024-06-26T05:15:56.0130577Z [100%] Linking CXX executable operator_registry_max_kernel_num_test 2024-06-26T05:15:56.1304520Z [100%] Built target kernel_runtime_context_test 2024-06-26T05:15:56.2084657Z [100%] Built target operator_registry_test 2024-06-26T05:15:56.2170293Z [100%] Built target operator_registry_max_kernel_num_test 2024-06-26T05:15:56.2228385Z + [[ runtime/kernel/test =~ .*tokenizer.* ]] 2024-06-26T05:15:56.2231914Z ++ realpath extension/module/test/resources 2024-06-26T05:15:56.2240084Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:15:56.2240620Z + export RESOURCES_PATH 2024-06-26T05:15:56.2241116Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:56.2241751Z + '[' -e cmake-out/runtime/kernel/test/kernel_runtime_context_test ']' 2024-06-26T05:15:56.2243656Z ++ basename cmake-out/runtime/kernel/test/kernel_runtime_context_test 2024-06-26T05:15:56.2250994Z + LLVM_PROFILE_FILE=cmake-out/kernel_runtime_context_test.profraw 2024-06-26T05:15:56.2252247Z + ./cmake-out/runtime/kernel/test/kernel_runtime_context_test 2024-06-26T05:15:56.2266735Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:15:56.2268036Z [==========] Running 6 tests from 1 test suite. 2024-06-26T05:15:56.2268642Z [----------] Global test environment set-up. 2024-06-26T05:15:56.2269377Z [----------] 6 tests from KernelRuntimeContextTest 2024-06-26T05:15:56.2270211Z [ RUN ] KernelRuntimeContextTest.FailureStateDefaultsToOk 2024-06-26T05:15:56.2271724Z [ OK ] KernelRuntimeContextTest.FailureStateDefaultsToOk (0 ms) 2024-06-26T05:15:56.2273289Z [ RUN ] KernelRuntimeContextTest.FailureStateReflectsFailure 2024-06-26T05:15:56.2274967Z [ OK ] KernelRuntimeContextTest.FailureStateReflectsFailure (0 ms) 2024-06-26T05:15:56.2276665Z [ RUN ] KernelRuntimeContextTest.FailureNoMemoryAllocatorProvided 2024-06-26T05:15:56.2279066Z [ OK ] KernelRuntimeContextTest.FailureNoMemoryAllocatorProvided (0 ms) 2024-06-26T05:15:56.2280857Z [ RUN ] KernelRuntimeContextTest.SuccessfulMemoryAllocation 2024-06-26T05:15:56.2281935Z [ OK ] KernelRuntimeContextTest.SuccessfulMemoryAllocation (0 ms) 2024-06-26T05:15:56.2283006Z [ RUN ] KernelRuntimeContextTest.FailureMemoryAllocationInsufficientSpace 2024-06-26T05:15:56.2284151Z [ OK ] KernelRuntimeContextTest.FailureMemoryAllocationInsufficientSpace (0 ms) 2024-06-26T05:15:56.2285184Z [ RUN ] KernelRuntimeContextTest.MemoryAllocatorAlignmentPassed 2024-06-26T05:15:56.2286149Z [ OK ] KernelRuntimeContextTest.MemoryAllocatorAlignmentPassed (0 ms) 2024-06-26T05:15:56.2287027Z [----------] 6 tests from KernelRuntimeContextTest (0 ms total) 2024-06-26T05:15:56.2287455Z 2024-06-26T05:15:56.2287691Z [----------] Global test environment tear-down 2024-06-26T05:15:56.2288303Z [==========] 6 tests from 1 test suite ran. (0 ms total) 2024-06-26T05:15:56.2288830Z [ PASSED ] 6 tests. 2024-06-26T05:15:56.2301989Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test -object cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test -object cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test -object cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test -object cmake-out/runtime/core/test/runtime_core_test -object cmake-out/runtime/executor/test/allocation_failure_stress_test -object cmake-out/runtime/executor/test/kernel_integration_test -object cmake-out/runtime/executor/test/kernel_resolution_test -object cmake-out/runtime/executor/test/memory_manager_test -object cmake-out/runtime/executor/test/method_test -object cmake-out/runtime/executor/test/runtime_executor_test -object cmake-out/runtime/executor/test/tensor_parser_test -object cmake-out/runtime/kernel/test/kernel_runtime_context_test' 2024-06-26T05:15:56.2314324Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:56.2315033Z + '[' -e cmake-out/runtime/kernel/test/operator_registry_max_kernel_num_test ']' 2024-06-26T05:15:56.2315950Z ++ basename cmake-out/runtime/kernel/test/operator_registry_max_kernel_num_test 2024-06-26T05:15:56.2317315Z + LLVM_PROFILE_FILE=cmake-out/operator_registry_max_kernel_num_test.profraw 2024-06-26T05:15:56.2318290Z + ./cmake-out/runtime/kernel/test/operator_registry_max_kernel_num_test 2024-06-26T05:15:56.2319198Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:15:56.2319969Z [==========] Running 2 tests from 1 test suite. 2024-06-26T05:15:56.2320531Z [----------] Global test environment set-up. 2024-06-26T05:15:56.2321184Z [----------] 2 tests from OperatorRegistryMaxKernelNumTest 2024-06-26T05:15:56.2322025Z [ RUN ] OperatorRegistryMaxKernelNumTest.RegisterOneOp 2024-06-26T05:15:56.2322874Z [ OK ] OperatorRegistryMaxKernelNumTest.RegisterOneOp (0 ms) 2024-06-26T05:15:56.2323974Z [ RUN ] OperatorRegistryMaxKernelNumTest.RegisterTwoOpsFail 2024-06-26T05:15:56.2325281Z [ OK ] OperatorRegistryMaxKernelNumTest.RegisterTwoOpsFail (1 ms) 2024-06-26T05:15:56.2326259Z [----------] 2 tests from OperatorRegistryMaxKernelNumTest (1 ms total) 2024-06-26T05:15:56.2326747Z 2024-06-26T05:15:56.2326985Z [----------] Global test environment tear-down 2024-06-26T05:15:56.2327596Z [==========] 2 tests from 1 test suite ran. (1 ms total) 2024-06-26T05:15:56.2328110Z [ PASSED ] 2 tests. 2024-06-26T05:15:56.2343573Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test -object cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test -object cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test -object cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test -object cmake-out/runtime/core/test/runtime_core_test -object cmake-out/runtime/executor/test/allocation_failure_stress_test -object cmake-out/runtime/executor/test/kernel_integration_test -object cmake-out/runtime/executor/test/kernel_resolution_test -object cmake-out/runtime/executor/test/memory_manager_test -object cmake-out/runtime/executor/test/method_test -object cmake-out/runtime/executor/test/runtime_executor_test -object cmake-out/runtime/executor/test/tensor_parser_test -object cmake-out/runtime/kernel/test/kernel_runtime_context_test -object cmake-out/runtime/kernel/test/operator_registry_max_kernel_num_test' 2024-06-26T05:15:56.2356959Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:56.2357812Z + '[' -e cmake-out/runtime/kernel/test/operator_registry_test ']' 2024-06-26T05:15:56.2359417Z ++ basename cmake-out/runtime/kernel/test/operator_registry_test 2024-06-26T05:15:56.2360574Z + LLVM_PROFILE_FILE=cmake-out/operator_registry_test.profraw 2024-06-26T05:15:56.2361850Z + ./cmake-out/runtime/kernel/test/operator_registry_test 2024-06-26T05:15:56.2362666Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:15:56.2363446Z [==========] Running 9 tests from 1 test suite. 2024-06-26T05:15:56.2364341Z [----------] Global test environment set-up. 2024-06-26T05:15:56.2365184Z [----------] 9 tests from OperatorRegistryTest 2024-06-26T05:15:56.2365987Z [ RUN ] OperatorRegistryTest.Basic 2024-06-26T05:15:56.2366803Z [ OK ] OperatorRegistryTest.Basic (0 ms) 2024-06-26T05:15:56.2367518Z [ RUN ] OperatorRegistryTest.RegisterOpsMoreThanOnceDie 2024-06-26T05:15:56.2368354Z [ OK ] OperatorRegistryTest.RegisterOpsMoreThanOnceDie (1 ms) 2024-06-26T05:15:56.2369130Z [ RUN ] OperatorRegistryTest.KernelKeyEquals 2024-06-26T05:15:56.2369903Z [ OK ] OperatorRegistryTest.KernelKeyEquals (0 ms) 2024-06-26T05:15:56.2370591Z [ RUN ] OperatorRegistryTest.RegisterKernels 2024-06-26T05:15:56.2371284Z [ OK ] OperatorRegistryTest.RegisterKernels (0 ms) 2024-06-26T05:15:56.2371992Z [ RUN ] OperatorRegistryTest.RegisterTwoKernels 2024-06-26T05:15:56.2372713Z [ OK ] OperatorRegistryTest.RegisterTwoKernels (0 ms) 2024-06-26T05:15:56.2373493Z [ RUN ] OperatorRegistryTest.DoubleRegisterKernelsDies 2024-06-26T05:15:56.2374329Z [ OK ] OperatorRegistryTest.DoubleRegisterKernelsDies (0 ms) 2024-06-26T05:15:56.2375123Z [ RUN ] OperatorRegistryTest.ExecutorChecksKernel 2024-06-26T05:15:56.2375875Z [ OK ] OperatorRegistryTest.ExecutorChecksKernel (0 ms) 2024-06-26T05:15:56.2376616Z [ RUN ] OperatorRegistryTest.ExecutorUsesKernel 2024-06-26T05:15:56.2377348Z [ OK ] OperatorRegistryTest.ExecutorUsesKernel (0 ms) 2024-06-26T05:15:56.2378126Z [ RUN ] OperatorRegistryTest.ExecutorUsesFallbackKernel 2024-06-26T05:15:56.2378969Z [ OK ] OperatorRegistryTest.ExecutorUsesFallbackKernel (0 ms) 2024-06-26T05:15:56.2379820Z [----------] 9 tests from OperatorRegistryTest (1 ms total) 2024-06-26T05:15:56.2380225Z 2024-06-26T05:15:56.2380462Z [----------] Global test environment tear-down 2024-06-26T05:15:56.2381074Z [==========] 9 tests from 1 test suite ran. (2 ms total) 2024-06-26T05:15:56.2381649Z [ PASSED ] 9 tests. 2024-06-26T05:15:56.2394326Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test -object cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test -object cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test -object cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test -object cmake-out/runtime/core/test/runtime_core_test -object cmake-out/runtime/executor/test/allocation_failure_stress_test -object cmake-out/runtime/executor/test/kernel_integration_test -object cmake-out/runtime/executor/test/kernel_resolution_test -object cmake-out/runtime/executor/test/memory_manager_test -object cmake-out/runtime/executor/test/method_test -object cmake-out/runtime/executor/test/runtime_executor_test -object cmake-out/runtime/executor/test/tensor_parser_test -object cmake-out/runtime/kernel/test/kernel_runtime_context_test -object cmake-out/runtime/kernel/test/operator_registry_max_kernel_num_test -object cmake-out/runtime/kernel/test/operator_registry_test' 2024-06-26T05:15:56.2406232Z + for test_dir in $(probe_tests) 2024-06-26T05:15:56.2406644Z + build_and_run_test runtime/platform/test 2024-06-26T05:15:56.2407086Z + local test_dir=runtime/platform/test 2024-06-26T05:15:56.2407450Z ++ pwd 2024-06-26T05:15:56.2408834Z + cmake runtime/platform/test -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=cmake-out -DEXECUTORCH_USE_CPP_CODE_COVERAGE=ON -DCMAKE_PREFIX_PATH=/executorch/third-party/googletest/build -Bcmake-out/runtime/platform/test 2024-06-26T05:15:56.3080982Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:15:56.4041649Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:15:56.4095662Z -- Detecting C compiler ABI info 2024-06-26T05:15:56.5185916Z -- Detecting C compiler ABI info - done 2024-06-26T05:15:56.5246763Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:15:56.5249237Z -- Detecting C compile features 2024-06-26T05:15:56.5253072Z -- Detecting C compile features - done 2024-06-26T05:15:56.5284666Z -- Detecting CXX compiler ABI info 2024-06-26T05:15:56.6658973Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:15:56.6723598Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:15:56.6726036Z -- Detecting CXX compile features 2024-06-26T05:15:56.6730751Z -- Detecting CXX compile features - done 2024-06-26T05:15:56.6814401Z flatccrt_d library is not found. 2024-06-26T05:15:56.6815053Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:56.6817889Z mpsdelegate library is not found. 2024-06-26T05:15:56.6818523Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:56.6821448Z qnn_executorch_backend library is not found. 2024-06-26T05:15:56.6822115Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:56.6832475Z vulkan_backend library is not found. 2024-06-26T05:15:56.6833108Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:56.6842889Z quantized_ops_aot_lib library is not found. 2024-06-26T05:15:56.6843553Z If needed rebuild with the proper options in CMakeLists.txt 2024-06-26T05:15:56.6856861Z -- Looking for pthread.h 2024-06-26T05:15:56.7961731Z -- Looking for pthread.h - found 2024-06-26T05:15:56.7962609Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:15:56.9055190Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:15:56.9063282Z -- Found Threads: TRUE 2024-06-26T05:15:56.9075724Z -- Configuring done 2024-06-26T05:15:56.9149254Z -- Generating done 2024-06-26T05:15:56.9165296Z -- Build files have been written to: /executorch/cmake-out/runtime/platform/test 2024-06-26T05:15:56.9192126Z + cmake --build cmake-out/runtime/platform/test -j9 2024-06-26T05:15:56.9489532Z [ 7%] Building CXX object CMakeFiles/platform_death_test.dir/executor_pal_death_test.cpp.o 2024-06-26T05:15:56.9495996Z [ 15%] Building CXX object CMakeFiles/logging_test.dir/logging_test.cpp.o 2024-06-26T05:15:56.9498261Z [ 23%] Building CXX object CMakeFiles/logging_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:15:56.9510396Z [ 30%] Building CXX object CMakeFiles/platform_test.dir/executor_pal_test.cpp.o 2024-06-26T05:15:56.9512276Z [ 38%] Building CXX object CMakeFiles/clock_test.dir/clock_test.cpp.o 2024-06-26T05:15:56.9528670Z [ 46%] Building CXX object CMakeFiles/clock_test.dir/stub_platform.cpp.o 2024-06-26T05:15:56.9549624Z [ 53%] Building CXX object CMakeFiles/platform_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:15:56.9553856Z [ 61%] Building CXX object CMakeFiles/platform_death_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:15:56.9587112Z [ 69%] Building CXX object CMakeFiles/clock_test.dir/executorch/runtime/core/exec_aten/testing_util/tensor_util.cpp.o 2024-06-26T05:15:57.2503505Z [ 76%] Linking CXX executable platform_test 2024-06-26T05:15:57.2577918Z [ 84%] Linking CXX executable logging_test 2024-06-26T05:15:57.2664475Z [ 92%] Linking CXX executable platform_death_test 2024-06-26T05:15:57.3372306Z [100%] Linking CXX executable clock_test 2024-06-26T05:15:57.4366240Z [100%] Built target platform_test 2024-06-26T05:15:57.4492382Z [100%] Built target logging_test 2024-06-26T05:15:57.4881517Z [100%] Built target platform_death_test 2024-06-26T05:15:57.5320166Z [100%] Built target clock_test 2024-06-26T05:15:57.5378123Z + [[ runtime/platform/test =~ .*tokenizer.* ]] 2024-06-26T05:15:57.5381178Z ++ realpath extension/module/test/resources 2024-06-26T05:15:57.5389418Z + RESOURCES_PATH=/executorch/extension/module/test/resources 2024-06-26T05:15:57.5390373Z + export RESOURCES_PATH 2024-06-26T05:15:57.5390874Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:57.5391403Z + '[' -e cmake-out/runtime/platform/test/clock_test ']' 2024-06-26T05:15:57.5393355Z ++ basename cmake-out/runtime/platform/test/clock_test 2024-06-26T05:15:57.5401088Z + LLVM_PROFILE_FILE=cmake-out/clock_test.profraw 2024-06-26T05:15:57.5401762Z + ./cmake-out/runtime/platform/test/clock_test 2024-06-26T05:15:57.5414363Z [==========] Running 1 test from 1 test suite. 2024-06-26T05:15:57.5415236Z [----------] Global test environment set-up. 2024-06-26T05:15:57.5415788Z [----------] 1 test from ClockTest 2024-06-26T05:15:57.5416519Z [ RUN ] ClockTest.ConvertTicksToNsSanity 2024-06-26T05:15:57.5417284Z [ OK ] ClockTest.ConvertTicksToNsSanity (0 ms) 2024-06-26T05:15:57.5417928Z [----------] 1 test from ClockTest (0 ms total) 2024-06-26T05:15:57.5418270Z 2024-06-26T05:15:57.5418508Z [----------] Global test environment tear-down 2024-06-26T05:15:57.5419121Z [==========] 1 test from 1 test suite ran. (0 ms total) 2024-06-26T05:15:57.5419806Z [ PASSED ] 1 test. 2024-06-26T05:15:57.5433318Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test -object cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test -object cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test -object cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test -object cmake-out/runtime/core/test/runtime_core_test -object cmake-out/runtime/executor/test/allocation_failure_stress_test -object cmake-out/runtime/executor/test/kernel_integration_test -object cmake-out/runtime/executor/test/kernel_resolution_test -object cmake-out/runtime/executor/test/memory_manager_test -object cmake-out/runtime/executor/test/method_test -object cmake-out/runtime/executor/test/runtime_executor_test -object cmake-out/runtime/executor/test/tensor_parser_test -object cmake-out/runtime/kernel/test/kernel_runtime_context_test -object cmake-out/runtime/kernel/test/operator_registry_max_kernel_num_test -object cmake-out/runtime/kernel/test/operator_registry_test -object cmake-out/runtime/platform/test/clock_test' 2024-06-26T05:15:57.5447935Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:57.5448608Z + '[' -e cmake-out/runtime/platform/test/logging_test ']' 2024-06-26T05:15:57.5449235Z ++ basename cmake-out/runtime/platform/test/logging_test 2024-06-26T05:15:57.5449851Z + LLVM_PROFILE_FILE=cmake-out/logging_test.profraw 2024-06-26T05:15:57.5450401Z + ./cmake-out/runtime/platform/test/logging_test 2024-06-26T05:15:57.5451161Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:15:57.5452018Z [==========] Running 2 tests from 1 test suite. 2024-06-26T05:15:57.5452592Z [----------] Global test environment set-up. 2024-06-26T05:15:57.5453133Z [----------] 2 tests from LoggingTest 2024-06-26T05:15:57.5453675Z [ RUN ] LoggingTest.LogLevels 2024-06-26T05:15:57.5454312Z [ OK ] LoggingTest.LogLevels (0 ms) 2024-06-26T05:15:57.5455170Z [ RUN ] LoggingTest.LogFormatting 2024-06-26T05:15:57.5455938Z [ OK ] LoggingTest.LogFormatting (0 ms) 2024-06-26T05:15:57.5456551Z [----------] 2 tests from LoggingTest (0 ms total) 2024-06-26T05:15:57.5456911Z 2024-06-26T05:15:57.5457149Z [----------] Global test environment tear-down 2024-06-26T05:15:57.5457755Z [==========] 2 tests from 1 test suite ran. (0 ms total) 2024-06-26T05:15:57.5458283Z [ PASSED ] 2 tests. 2024-06-26T05:15:57.5471797Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test -object cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test -object cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test -object cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test -object cmake-out/runtime/core/test/runtime_core_test -object cmake-out/runtime/executor/test/allocation_failure_stress_test -object cmake-out/runtime/executor/test/kernel_integration_test -object cmake-out/runtime/executor/test/kernel_resolution_test -object cmake-out/runtime/executor/test/memory_manager_test -object cmake-out/runtime/executor/test/method_test -object cmake-out/runtime/executor/test/runtime_executor_test -object cmake-out/runtime/executor/test/tensor_parser_test -object cmake-out/runtime/kernel/test/kernel_runtime_context_test -object cmake-out/runtime/kernel/test/operator_registry_max_kernel_num_test -object cmake-out/runtime/kernel/test/operator_registry_test -object cmake-out/runtime/platform/test/clock_test -object cmake-out/runtime/platform/test/logging_test' 2024-06-26T05:15:57.5489659Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:57.5490872Z + '[' -e cmake-out/runtime/platform/test/platform_death_test ']' 2024-06-26T05:15:57.5492106Z ++ basename cmake-out/runtime/platform/test/platform_death_test 2024-06-26T05:15:57.5493236Z + LLVM_PROFILE_FILE=cmake-out/platform_death_test.profraw 2024-06-26T05:15:57.5494269Z + ./cmake-out/runtime/platform/test/platform_death_test 2024-06-26T05:15:57.5495242Z [==========] Running 1 test from 1 test suite. 2024-06-26T05:15:57.5496150Z [----------] Global test environment set-up. 2024-06-26T05:15:57.5496712Z [----------] 1 test from ExecutorPalTest 2024-06-26T05:15:57.5497329Z [ RUN ] ExecutorPalTest.UninitializedPalDeath 2024-06-26T05:15:57.5512699Z [ OK ] ExecutorPalTest.UninitializedPalDeath (1 ms) 2024-06-26T05:15:57.5513561Z [----------] 1 test from ExecutorPalTest (1 ms total) 2024-06-26T05:15:57.5513968Z 2024-06-26T05:15:57.5514459Z [----------] Global test environment tear-down 2024-06-26T05:15:57.5515159Z [==========] 1 test from 1 test suite ran. (1 ms total) 2024-06-26T05:15:57.5515718Z [ PASSED ] 1 test. 2024-06-26T05:15:57.5529939Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test -object cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test -object cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test -object cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test -object cmake-out/runtime/core/test/runtime_core_test -object cmake-out/runtime/executor/test/allocation_failure_stress_test -object cmake-out/runtime/executor/test/kernel_integration_test -object cmake-out/runtime/executor/test/kernel_resolution_test -object cmake-out/runtime/executor/test/memory_manager_test -object cmake-out/runtime/executor/test/method_test -object cmake-out/runtime/executor/test/runtime_executor_test -object cmake-out/runtime/executor/test/tensor_parser_test -object cmake-out/runtime/kernel/test/kernel_runtime_context_test -object cmake-out/runtime/kernel/test/operator_registry_max_kernel_num_test -object cmake-out/runtime/kernel/test/operator_registry_test -object cmake-out/runtime/platform/test/clock_test -object cmake-out/runtime/platform/test/logging_test -object cmake-out/runtime/platform/test/platform_death_test' 2024-06-26T05:15:57.5544272Z + for t in cmake-out/"${test_dir}"/*test 2024-06-26T05:15:57.5545103Z + '[' -e cmake-out/runtime/platform/test/platform_test ']' 2024-06-26T05:15:57.5546160Z ++ basename cmake-out/runtime/platform/test/platform_test 2024-06-26T05:15:57.5547096Z + LLVM_PROFILE_FILE=cmake-out/platform_test.profraw 2024-06-26T05:15:57.5547733Z + ./cmake-out/runtime/platform/test/platform_test 2024-06-26T05:15:57.5548487Z Running main() from /executorch/third-party/googletest/googletest/src/gtest_main.cc 2024-06-26T05:15:57.5549236Z [==========] Running 3 tests from 1 test suite. 2024-06-26T05:15:57.5549818Z [----------] Global test environment set-up. 2024-06-26T05:15:57.5550374Z [----------] 3 tests from ExecutorPalTest 2024-06-26T05:15:57.5551029Z [ RUN ] ExecutorPalTest.Initialization 2024-06-26T05:15:57.5551660Z [ OK ] ExecutorPalTest.Initialization (0 ms) 2024-06-26T05:15:57.5552314Z [ RUN ] ExecutorPalTest.TimestampCoherency 2024-06-26T05:15:57.5552978Z [ OK ] ExecutorPalTest.TimestampCoherency (0 ms) 2024-06-26T05:15:57.5553657Z [ RUN ] ExecutorPalTest.TickRateRatioSanity 2024-06-26T05:15:57.5554340Z [ OK ] ExecutorPalTest.TickRateRatioSanity (0 ms) 2024-06-26T05:15:57.5555011Z [----------] 3 tests from ExecutorPalTest (0 ms total) 2024-06-26T05:15:57.5555401Z 2024-06-26T05:15:57.5555637Z [----------] Global test environment tear-down 2024-06-26T05:15:57.5556420Z [==========] 3 tests from 1 test suite ran. (0 ms total) 2024-06-26T05:15:57.5557248Z [ PASSED ] 3 tests. 2024-06-26T05:15:57.5572561Z + TEST_BINARY_LIST=' -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test -object cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test -object cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test -object cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test -object cmake-out/runtime/core/test/runtime_core_test -object cmake-out/runtime/executor/test/allocation_failure_stress_test -object cmake-out/runtime/executor/test/kernel_integration_test -object cmake-out/runtime/executor/test/kernel_resolution_test -object cmake-out/runtime/executor/test/memory_manager_test -object cmake-out/runtime/executor/test/method_test -object cmake-out/runtime/executor/test/runtime_executor_test -object cmake-out/runtime/executor/test/tensor_parser_test -object cmake-out/runtime/kernel/test/kernel_runtime_context_test -object cmake-out/runtime/kernel/test/operator_registry_max_kernel_num_test -object cmake-out/runtime/kernel/test/operator_registry_test -object cmake-out/runtime/platform/test/clock_test -object cmake-out/runtime/platform/test/logging_test -object cmake-out/runtime/platform/test/platform_death_test -object cmake-out/runtime/platform/test/platform_test' 2024-06-26T05:15:57.5585649Z + report_coverage 2024-06-26T05:15:57.5599035Z + llvm-profdata-12 merge -sparse cmake-out/allocation_failure_stress_test.profraw cmake-out/backends_xnnpack_test.profraw cmake-out/clock_test.profraw cmake-out/extension_data_loader_test.profraw cmake-out/extension_evalue_util_test.profraw cmake-out/extension_kernel_util_test.profraw cmake-out/extension_memory_allocator_test.profraw cmake-out/extension_module_test.profraw cmake-out/extension_parallel_test.profraw cmake-out/extension_pytree_test.profraw cmake-out/extension_runner_util_test.profraw cmake-out/kernel_integration_test.profraw cmake-out/kernel_resolution_test.profraw cmake-out/kernel_runtime_context_test.profraw cmake-out/kernels_portable_cpu_util_test.profraw cmake-out/kernels_portable_test.profraw cmake-out/kernels_quantized_test.profraw cmake-out/logging_test.profraw cmake-out/memory_manager_test.profraw cmake-out/method_test.profraw cmake-out/operator_registry_max_kernel_num_test.profraw cmake-out/operator_registry_test.profraw cmake-out/optimized_kernels_test.profraw cmake-out/platform_death_test.profraw cmake-out/platform_test.profraw cmake-out/portable_kernels_test.profraw cmake-out/runtime_core_exec_aten_testing_util_test.profraw cmake-out/runtime_core_exec_aten_util_test.profraw cmake-out/runtime_core_portable_type_test.profraw cmake-out/runtime_core_test.profraw cmake-out/runtime_executor_test.profraw cmake-out/tensor_parser_test.profraw cmake-out/tokenizer_test.profraw -o cmake-out/merged.profdata 2024-06-26T05:15:59.5135752Z + llvm-cov-12 report -instr-profile=cmake-out/merged.profdata -object cmake-out/backends/xnnpack/test/backends_xnnpack_test -object cmake-out/examples/models/llama2/tokenizer/test/tokenizer_test -object cmake-out/extension/data_loader/test/extension_data_loader_test -object cmake-out/extension/evalue_util/test/extension_evalue_util_test -object cmake-out/extension/kernel_util/test/extension_kernel_util_test -object cmake-out/extension/memory_allocator/test/extension_memory_allocator_test -object cmake-out/extension/module/test/extension_module_test -object cmake-out/extension/parallel/test/extension_parallel_test -object cmake-out/extension/pytree/test/extension_pytree_test -object cmake-out/extension/runner_util/test/extension_runner_util_test -object cmake-out/kernels/portable/cpu/util/test/kernels_portable_cpu_util_test -object cmake-out/kernels/portable/test/kernels_portable_test -object cmake-out/kernels/quantized/test/kernels_quantized_test -object cmake-out/kernels/test/optimized_kernels_test -object cmake-out/kernels/test/portable_kernels_test -object cmake-out/runtime/core/exec_aten/testing_util/test/runtime_core_exec_aten_testing_util_test -object cmake-out/runtime/core/exec_aten/util/test/runtime_core_exec_aten_util_test -object cmake-out/runtime/core/portable_type/test/runtime_core_portable_type_test -object cmake-out/runtime/core/test/runtime_core_test -object cmake-out/runtime/executor/test/allocation_failure_stress_test -object cmake-out/runtime/executor/test/kernel_integration_test -object cmake-out/runtime/executor/test/kernel_resolution_test -object cmake-out/runtime/executor/test/memory_manager_test -object cmake-out/runtime/executor/test/method_test -object cmake-out/runtime/executor/test/runtime_executor_test -object cmake-out/runtime/executor/test/tensor_parser_test -object cmake-out/runtime/kernel/test/kernel_runtime_context_test -object cmake-out/runtime/kernel/test/operator_registry_max_kernel_num_test -object cmake-out/runtime/kernel/test/operator_registry_test -object cmake-out/runtime/platform/test/clock_test -object cmake-out/runtime/platform/test/logging_test -object cmake-out/runtime/platform/test/platform_death_test -object cmake-out/runtime/platform/test/platform_test 2024-06-26T05:16:04.6078032Z warning: 3353 functions have mismatched data 2024-06-26T05:16:04.8284778Z Filename Regions Missed Regions Cover Functions Missed Functions Executed Lines Missed Lines Cover Branches Missed Branches Cover 2024-06-26T05:16:04.8287458Z ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 2024-06-26T05:16:04.8290344Z backends/xnnpack/runtime/XNNExecutor.cpp 82 66 19.51% 4 2 50.00% 132 94 28.79% 40 34 15.00% 2024-06-26T05:16:04.8293574Z backends/xnnpack/runtime/XNNExecutor.h 2 2 0.00% 2 2 0.00% 6 6 0.00% 0 0 - 2024-06-26T05:16:04.8296854Z backends/xnnpack/runtime/XNNStatus.h 1 1 0.00% 1 1 0.00% 4 4 0.00% 0 0 - 2024-06-26T05:16:04.8300164Z backends/xnnpack/runtime/profiling/XNNProfiler.cpp 4 2 50.00% 4 2 50.00% 12 7 41.67% 0 0 - 2024-06-26T05:16:04.8303609Z backends/xnnpack/test/runtime/test_xnnexecutor.cpp 13 0 100.00% 1 0 100.00% 71 0 100.00% 0 0 - 2024-06-26T05:16:04.8307074Z backends/xnnpack/third-party/XNNPACK/src/allocator.c 14 1 92.86% 5 0 100.00% 25 2 92.00% 6 1 83.33% 2024-06-26T05:16:04.8310754Z backends/xnnpack/third-party/XNNPACK/src/amalgam/gen/avx.c 2298 2298 0.00% 93 93 0.00% 12806 12806 0.00% 1688 1688 0.00% 2024-06-26T05:16:04.8314384Z backends/xnnpack/third-party/XNNPACK/src/amalgam/gen/avx2.c 2362 2362 0.00% 59 59 0.00% 10802 10802 0.00% 1882 1882 0.00% 2024-06-26T05:16:04.8317473Z backends/xnnpack/third-party/XNNPACK/src/amalgam/gen/avx512f.c 755 755 0.00% 43 43 0.00% 3374 3374 0.00% 466 466 0.00% 2024-06-26T05:16:04.8321123Z backends/xnnpack/third-party/XNNPACK/src/amalgam/gen/avx512skx.c 1268 1268 0.00% 51 51 0.00% 8269 8269 0.00% 866 866 0.00% 2024-06-26T05:16:04.8323713Z backends/xnnpack/third-party/XNNPACK/src/amalgam/gen/f16c.c 783 783 0.00% 36 36 0.00% 2801 2801 0.00% 598 598 0.00% 2024-06-26T05:16:04.8326139Z backends/xnnpack/third-party/XNNPACK/src/amalgam/gen/fma3.c 878 878 0.00% 27 27 0.00% 4378 4378 0.00% 648 648 0.00% 2024-06-26T05:16:04.8328633Z backends/xnnpack/third-party/XNNPACK/src/amalgam/gen/scalar.c 5299 5299 0.00% 233 233 0.00% 24710 24710 0.00% 3780 3780 0.00% 2024-06-26T05:16:04.8331193Z backends/xnnpack/third-party/XNNPACK/src/amalgam/gen/sse.c 1576 1576 0.00% 57 57 0.00% 7620 7620 0.00% 1170 1170 0.00% 2024-06-26T05:16:04.8333654Z backends/xnnpack/third-party/XNNPACK/src/amalgam/gen/sse2.c 2499 2499 0.00% 87 87 0.00% 13326 13326 0.00% 1872 1872 0.00% 2024-06-26T05:16:04.8336163Z backends/xnnpack/third-party/XNNPACK/src/amalgam/gen/sse41.c 1452 1452 0.00% 59 59 0.00% 8332 8332 0.00% 1070 1070 0.00% 2024-06-26T05:16:04.8341268Z backends/xnnpack/third-party/XNNPACK/src/amalgam/gen/ssse3.c 133 133 0.00% 7 7 0.00% 836 836 0.00% 100 100 0.00% 2024-06-26T05:16:04.8343638Z backends/xnnpack/third-party/XNNPACK/src/cache.c 174 174 0.00% 29 29 0.00% 354 354 0.00% 110 110 0.00% 2024-06-26T05:16:04.8346014Z backends/xnnpack/third-party/XNNPACK/src/configs/hardware-config.c 19 3 84.21% 2 0 100.00% 31 3 90.32% 26 15 42.31% 2024-06-26T05:16:04.8348516Z backends/xnnpack/third-party/XNNPACK/src/configs/reduce-config.c 44 44 0.00% 8 8 0.00% 96 96 0.00% 20 20 0.00% 2024-06-26T05:16:04.8352876Z backends/xnnpack/third-party/XNNPACK/src/configs/unary-elementwise-config.c 606 600 0.99% 92 90 2.17% 1142 1126 1.40% 322 320 0.62% 2024-06-26T05:16:04.8356592Z backends/xnnpack/third-party/XNNPACK/src/enums/microkernel-type.c 1 1 0.00% 1 1 0.00% 5 5 0.00% 0 0 - 2024-06-26T05:16:04.8360100Z backends/xnnpack/third-party/XNNPACK/src/enums/operator-type.c 1 1 0.00% 1 1 0.00% 5 5 0.00% 0 0 - 2024-06-26T05:16:04.8363564Z backends/xnnpack/third-party/XNNPACK/src/indirection.c 316 316 0.00% 14 14 0.00% 743 743 0.00% 238 238 0.00% 2024-06-26T05:16:04.8672601Z backends/xnnpack/third-party/XNNPACK/src/init.c 13 3 76.92% 3 1 66.67% 27 8 70.37% 6 3 50.00% 2024-06-26T05:16:04.8677372Z backends/xnnpack/third-party/XNNPACK/src/memory-planner.c 113 113 0.00% 10 10 0.00% 184 184 0.00% 66 66 0.00% 2024-06-26T05:16:04.8681894Z backends/xnnpack/third-party/XNNPACK/src/memory.c 78 78 0.00% 13 13 0.00% 167 167 0.00% 46 46 0.00% 2024-06-26T05:16:04.8685499Z backends/xnnpack/third-party/XNNPACK/src/microparams-init.c 1228 1224 0.33% 245 244 0.41% 3701 3693 0.22% 626 624 0.32% 2024-06-26T05:16:04.8688961Z backends/xnnpack/third-party/XNNPACK/src/mutex.c 16 16 0.00% 4 4 0.00% 37 37 0.00% 8 8 0.00% 2024-06-26T05:16:04.8692596Z backends/xnnpack/third-party/XNNPACK/src/operator-delete.c 17 6 64.71% 1 0 100.00% 28 10 64.29% 12 6 50.00% 2024-06-26T05:16:04.8696112Z 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kernels/optimized/third-party/eigen/Eigen/src/Core/functors/NullaryFunctors.h 4 0 100.00% 4 0 100.00% 6 0 100.00% 0 0 - 2024-06-26T05:16:04.9556945Z kernels/optimized/third-party/eigen/Eigen/src/Core/functors/UnaryFunctors.h 7 7 0.00% 7 7 0.00% 11 11 0.00% 0 0 - 2024-06-26T05:16:04.9559717Z kernels/optimized/third-party/eigen/Eigen/src/Core/products/GeneralBlockPanelKernel.h 885 707 20.11% 32 15 53.12% 1326 1009 23.91% 236 182 22.88% 2024-06-26T05:16:04.9562497Z kernels/optimized/third-party/eigen/Eigen/src/Core/products/GeneralMatrixMatrix.h 90 40 55.56% 13 4 69.23% 107 51 52.34% 46 31 32.61% 2024-06-26T05:16:04.9565312Z kernels/optimized/third-party/eigen/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h 59 59 0.00% 2 2 0.00% 74 74 0.00% 24 24 0.00% 2024-06-26T05:16:04.9568085Z kernels/optimized/third-party/eigen/Eigen/src/Core/products/GeneralMatrixVector.h 106 106 0.00% 2 2 0.00% 276 276 0.00% 68 68 0.00% 2024-06-26T05:16:04.9570768Z kernels/optimized/third-party/eigen/Eigen/src/Core/products/Parallelizer.h 5 5 0.00% 5 5 0.00% 20 20 0.00% 0 0 - 2024-06-26T05:16:04.9573426Z kernels/optimized/third-party/eigen/Eigen/src/Core/products/SelfadjointMatrixMatrix.h 231 231 0.00% 5 5 0.00% 260 260 0.00% 110 110 0.00% 2024-06-26T05:16:04.9576167Z kernels/optimized/third-party/eigen/Eigen/src/Core/products/SelfadjointMatrixVector.h 42 42 0.00% 1 1 0.00% 85 85 0.00% 12 12 0.00% 2024-06-26T05:16:04.9578911Z kernels/optimized/third-party/eigen/Eigen/src/Core/products/SelfadjointProduct.h 12 12 0.00% 1 1 0.00% 11 11 0.00% 2 2 0.00% 2024-06-26T05:16:04.9581687Z kernels/optimized/third-party/eigen/Eigen/src/Core/products/TriangularMatrixMatrix.h 186 186 0.00% 2 2 0.00% 150 150 0.00% 64 64 0.00% 2024-06-26T05:16:04.9584463Z kernels/optimized/third-party/eigen/Eigen/src/Core/products/TriangularMatrixVector.h 76 76 0.00% 2 2 0.00% 80 80 0.00% 20 20 0.00% 2024-06-26T05:16:04.9587201Z kernels/optimized/third-party/eigen/Eigen/src/Core/products/TriangularSolverMatrix.h 195 195 0.00% 4 4 0.00% 186 186 0.00% 72 72 0.00% 2024-06-26T05:16:04.9589933Z kernels/optimized/third-party/eigen/Eigen/src/Core/products/TriangularSolverVector.h 68 68 0.00% 2 2 0.00% 62 62 0.00% 20 20 0.00% 2024-06-26T05:16:04.9592490Z kernels/optimized/third-party/eigen/Eigen/src/Core/util/BlasUtil.h 36 17 52.78% 30 16 46.67% 80 42 47.50% 0 0 - 2024-06-26T05:16:04.9595037Z kernels/optimized/third-party/eigen/Eigen/src/Core/util/ConfigureVectorization.h 1 1 0.00% 1 1 0.00% 31 31 0.00% 0 0 - 2024-06-26T05:16:04.9597555Z kernels/optimized/third-party/eigen/Eigen/src/Core/util/Constants.h 11 11 0.00% 11 11 0.00% 11 11 0.00% 0 0 - 2024-06-26T05:16:04.9600175Z kernels/optimized/third-party/eigen/Eigen/src/Core/util/IndexedViewHelper.h 6 5 16.67% 6 5 16.67% 6 5 16.67% 0 0 - 2024-06-26T05:16:04.9602683Z kernels/optimized/third-party/eigen/Eigen/src/Core/util/IntegralConstant.h 2 1 50.00% 2 1 50.00% 4 3 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2024-06-26T05:16:04.9622305Z kernels/optimized/third-party/eigen/Eigen/src/Jacobi/Jacobi.h 17 17 0.00% 5 5 0.00% 30 30 0.00% 6 6 0.00% 2024-06-26T05:16:04.9624742Z kernels/optimized/third-party/eigen/Eigen/src/plugins/BlockMethods.inc 13 13 0.00% 7 7 0.00% 19 19 0.00% 0 0 - 2024-06-26T05:16:04.9627262Z kernels/optimized/third-party/eigen/Eigen/src/plugins/CommonCwiseBinaryOps.inc 1 1 0.00% 1 1 0.00% 3 3 0.00% 0 0 - 2024-06-26T05:16:04.9629771Z kernels/optimized/third-party/eigen/Eigen/src/plugins/CommonCwiseUnaryOps.inc 3 3 0.00% 3 3 0.00% 8 8 0.00% 0 0 - 2024-06-26T05:16:04.9632283Z kernels/optimized/third-party/eigen/Eigen/src/plugins/MatrixCwiseBinaryOps.inc 2 2 0.00% 1 1 0.00% 3 3 0.00% 0 0 - 2024-06-26T05:16:04.9634787Z kernels/optimized/third-party/eigen/Eigen/src/plugins/MatrixCwiseUnaryOps.inc 2 2 0.00% 2 2 0.00% 6 6 0.00% 0 0 - 2024-06-26T05:16:04.9637263Z kernels/optimized/third-party/eigen/blas/BandTriangularSolver.h 38 38 0.00% 2 2 0.00% 39 39 0.00% 12 12 0.00% 2024-06-26T05:16:04.9639714Z kernels/optimized/third-party/eigen/blas/GeneralRank1Update.h 4 4 0.00% 1 1 0.00% 7 7 0.00% 2 2 0.00% 2024-06-26T05:16:04.9642149Z kernels/optimized/third-party/eigen/blas/PackedSelfadjointProduct.h 16 16 0.00% 1 1 0.00% 11 11 0.00% 2 2 0.00% 2024-06-26T05:16:04.9644637Z kernels/optimized/third-party/eigen/blas/PackedTriangularMatrixVector.h 48 48 0.00% 2 2 0.00% 37 37 0.00% 8 8 0.00% 2024-06-26T05:16:04.9647145Z kernels/optimized/third-party/eigen/blas/PackedTriangularSolverVector.h 40 40 0.00% 2 2 0.00% 31 31 0.00% 8 8 0.00% 2024-06-26T05:16:04.9649543Z kernels/optimized/third-party/eigen/blas/Rank2Update.h 36 36 0.00% 2 2 0.00% 22 22 0.00% 4 4 0.00% 2024-06-26T05:16:04.9651823Z kernels/optimized/third-party/eigen/blas/common.h 23 22 4.35% 11 10 9.09% 42 38 9.52% 8 8 0.00% 2024-06-26T05:16:04.9654048Z kernels/optimized/third-party/eigen/blas/double.cpp 29 29 0.00% 1 1 0.00% 21 21 0.00% 22 22 0.00% 2024-06-26T05:16:04.9656326Z kernels/optimized/third-party/eigen/blas/level1_impl.h 93 93 0.00% 5 5 0.00% 85 85 0.00% 72 72 0.00% 2024-06-26T05:16:04.9658576Z kernels/optimized/third-party/eigen/blas/level1_real_impl.h 71 71 0.00% 6 6 0.00% 70 70 0.00% 48 48 0.00% 2024-06-26T05:16:04.9660941Z kernels/optimized/third-party/eigen/blas/level2_impl.h 669 669 0.00% 8 8 0.00% 380 380 0.00% 538 538 0.00% 2024-06-26T05:16:04.9663272Z kernels/optimized/third-party/eigen/blas/level2_real_impl.h 267 267 0.00% 6 6 0.00% 179 179 0.00% 202 202 0.00% 2024-06-26T05:16:04.9665573Z kernels/optimized/third-party/eigen/blas/level3_impl.h 925 873 5.62% 6 5 16.67% 454 396 12.78% 734 712 3.00% 2024-06-26T05:16:04.9667804Z kernels/optimized/third-party/eigen/blas/single.cpp 2 2 0.00% 1 1 0.00% 3 3 0.00% 0 0 - 2024-06-26T05:16:04.9669948Z kernels/optimized/third-party/eigen/blas/xerbla.cpp 1 1 0.00% 1 1 0.00% 1 1 0.00% 0 0 - 2024-06-26T05:16:04.9672081Z kernels/optimized/utils/llvmMathExtras.h 56 56 0.00% 46 46 0.00% 219 219 0.00% 8 8 0.00% 2024-06-26T05:16:04.9674180Z kernels/optimized/utils/math_utils.h 5 1 80.00% 2 0 100.00% 10 3 70.00% 2 1 50.00% 2024-06-26T05:16:04.9676208Z kernels/optimized/utils/unroll.h 2 0 100.00% 2 0 100.00% 7 0 100.00% 0 0 - 2024-06-26T05:16:04.9678323Z kernels/optimized/vec/functional_base.h 18 2 88.89% 3 0 100.00% 46 6 86.96% 12 3 75.00% 2024-06-26T05:16:04.9680358Z kernels/optimized/vec/vec.h 4 1 75.00% 3 1 66.67% 14 3 78.57% 0 0 - 2024-06-26T05:16:04.9682307Z kernels/optimized/vec/vec_base.h 43 1 97.67% 20 1 95.00% 83 4 95.18% 14 0 100.00% 2024-06-26T05:16:04.9684358Z kernels/portable/cpu/op__to_dim_order_copy.cpp 33 1 96.97% 4 1 75.00% 56 4 92.86% 12 0 100.00% 2024-06-26T05:16:04.9686463Z kernels/portable/cpu/op_abs.cpp 17 4 76.47% 1 0 100.00% 24 0 100.00% 4 2 50.00% 2024-06-26T05:16:04.9688433Z kernels/portable/cpu/op_acos.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9690450Z kernels/portable/cpu/op_acosh.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9692453Z kernels/portable/cpu/op_add.cpp 76 18 76.32% 5 1 80.00% 107 3 97.20% 18 5 72.22% 2024-06-26T05:16:04.9694452Z kernels/portable/cpu/op_addmm.cpp 24 2 91.67% 1 0 100.00% 66 0 100.00% 6 1 83.33% 2024-06-26T05:16:04.9696477Z kernels/portable/cpu/op_alias_copy.cpp 17 17 0.00% 1 1 0.00% 14 14 0.00% 6 6 0.00% 2024-06-26T05:16:04.9698551Z kernels/portable/cpu/op_allclose.cpp 80 80 0.00% 6 6 0.00% 60 60 0.00% 34 34 0.00% 2024-06-26T05:16:04.9700659Z kernels/portable/cpu/op_amax.cpp 17 0 100.00% 1 0 100.00% 27 0 100.00% 4 0 100.00% 2024-06-26T05:16:04.9702724Z kernels/portable/cpu/op_amin.cpp 17 0 100.00% 1 0 100.00% 27 0 100.00% 4 0 100.00% 2024-06-26T05:16:04.9704747Z kernels/portable/cpu/op_any.cpp 58 15 74.14% 3 0 100.00% 108 2 98.15% 16 8 50.00% 2024-06-26T05:16:04.9706788Z kernels/portable/cpu/op_arange.cpp 62 12 80.65% 2 0 100.00% 54 0 100.00% 16 6 62.50% 2024-06-26T05:16:04.9708860Z kernels/portable/cpu/op_argmax.cpp 17 4 76.47% 1 0 100.00% 31 0 100.00% 4 2 50.00% 2024-06-26T05:16:04.9710895Z kernels/portable/cpu/op_argmin.cpp 17 4 76.47% 1 0 100.00% 31 0 100.00% 4 2 50.00% 2024-06-26T05:16:04.9712984Z kernels/portable/cpu/op_as_strided_copy.cpp 22 1 95.45% 1 0 100.00% 21 2 90.48% 8 1 87.50% 2024-06-26T05:16:04.9714995Z kernels/portable/cpu/op_asin.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9716951Z kernels/portable/cpu/op_asinh.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9719144Z kernels/portable/cpu/op_atan.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9721186Z kernels/portable/cpu/op_atan2.cpp 11 2 81.82% 1 0 100.00% 26 0 100.00% 2 1 50.00% 2024-06-26T05:16:04.9723178Z kernels/portable/cpu/op_atanh.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9725239Z kernels/portable/cpu/op_avg_pool2d.cpp 24 6 75.00% 1 0 100.00% 71 0 100.00% 6 3 50.00% 2024-06-26T05:16:04.9727292Z kernels/portable/cpu/op_bitwise_and.cpp 34 34 0.00% 2 2 0.00% 89 89 0.00% 8 8 0.00% 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100.00% 10 0 100.00% 2024-06-26T05:16:04.9747950Z kernels/portable/cpu/op_constant_pad_nd.cpp 56 2 96.43% 4 0 100.00% 121 5 95.87% 32 5 84.38% 2024-06-26T05:16:04.9750053Z kernels/portable/cpu/op_convolution.cpp 72 9 87.50% 3 0 100.00% 206 4 98.06% 42 10 76.19% 2024-06-26T05:16:04.9752086Z kernels/portable/cpu/op_copy.cpp 50 4 92.00% 2 0 100.00% 43 0 100.00% 12 2 83.33% 2024-06-26T05:16:04.9754070Z kernels/portable/cpu/op_cos.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9756050Z kernels/portable/cpu/op_cosh.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9758189Z kernels/portable/cpu/op_cumsum.cpp 40 3 92.50% 2 0 100.00% 49 5 89.80% 20 3 85.00% 2024-06-26T05:16:04.9760253Z kernels/portable/cpu/op_detach_copy.cpp 17 0 100.00% 1 0 100.00% 15 0 100.00% 6 1 83.33% 2024-06-26T05:16:04.9762336Z kernels/portable/cpu/op_diagonal_copy.cpp 43 7 83.72% 2 0 100.00% 55 4 92.73% 22 5 77.27% 2024-06-26T05:16:04.9764847Z kernels/portable/cpu/op_div.cpp 121 20 83.47% 5 0 100.00% 165 0 100.00% 46 16 65.22% 2024-06-26T05:16:04.9767176Z kernels/portable/cpu/op_embedding.cpp 52 6 88.46% 2 0 100.00% 64 0 100.00% 18 4 77.78% 2024-06-26T05:16:04.9769769Z kernels/portable/cpu/op_empty.cpp 8 2 75.00% 1 0 100.00% 10 0 100.00% 2 1 50.00% 2024-06-26T05:16:04.9773198Z kernels/portable/cpu/op_eq.cpp 20 10 50.00% 2 1 50.00% 70 34 51.43% 4 2 50.00% 2024-06-26T05:16:04.9776547Z kernels/portable/cpu/op_erf.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9780112Z kernels/portable/cpu/op_exp.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9783681Z kernels/portable/cpu/op_expand_copy.cpp 40 2 95.00% 2 0 100.00% 47 0 100.00% 18 2 88.89% 2024-06-26T05:16:04.9785879Z kernels/portable/cpu/op_expm1.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9787933Z kernels/portable/cpu/op_fill.cpp 41 4 90.24% 2 0 100.00% 56 0 100.00% 10 2 80.00% 2024-06-26T05:16:04.9790842Z kernels/portable/cpu/op_flip.cpp 41 6 85.37% 3 0 100.00% 42 0 100.00% 16 3 81.25% 2024-06-26T05:16:04.9792843Z kernels/portable/cpu/op_floor.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9794879Z kernels/portable/cpu/op_floor_divide.cpp 46 13 71.74% 4 1 75.00% 72 6 91.67% 10 3 70.00% 2024-06-26T05:16:04.9797071Z kernels/portable/cpu/op_fmod.cpp 67 43 35.82% 5 2 60.00% 128 62 51.56% 16 12 25.00% 2024-06-26T05:16:04.9799676Z kernels/portable/cpu/op_full.cpp 10 2 80.00% 1 0 100.00% 23 0 100.00% 2 1 50.00% 2024-06-26T05:16:04.9802022Z kernels/portable/cpu/op_full_like.cpp 22 3 86.36% 1 0 100.00% 33 0 100.00% 8 3 62.50% 2024-06-26T05:16:04.9805048Z kernels/portable/cpu/op_ge.cpp 20 0 100.00% 2 0 100.00% 70 0 100.00% 4 0 100.00% 2024-06-26T05:16:04.9807077Z kernels/portable/cpu/op_gelu.cpp 17 2 88.24% 1 0 100.00% 48 0 100.00% 4 1 75.00% 2024-06-26T05:16:04.9809107Z kernels/portable/cpu/op_glu.cpp 46 1 97.83% 7 0 100.00% 80 0 100.00% 20 1 95.00% 2024-06-26T05:16:04.9811183Z kernels/portable/cpu/op_gt.cpp 20 0 100.00% 2 0 100.00% 70 0 100.00% 4 0 100.00% 2024-06-26T05:16:04.9813210Z kernels/portable/cpu/op_hardtanh.cpp 17 4 76.47% 1 0 100.00% 37 0 100.00% 4 2 50.00% 2024-06-26T05:16:04.9815303Z kernels/portable/cpu/op_index.cpp 43 3 93.02% 1 0 100.00% 57 2 96.49% 14 2 85.71% 2024-06-26T05:16:04.9817349Z kernels/portable/cpu/op_index_put.cpp 67 21 68.66% 1 0 100.00% 80 16 80.00% 22 8 63.64% 2024-06-26T05:16:04.9819427Z kernels/portable/cpu/op_index_select.cpp 27 2 92.59% 1 0 100.00% 45 5 88.89% 12 3 75.00% 2024-06-26T05:16:04.9821552Z kernels/portable/cpu/op_isinf.cpp 2 0 100.00% 2 0 100.00% 5 0 100.00% 0 0 - 2024-06-26T05:16:04.9823549Z kernels/portable/cpu/op_isnan.cpp 2 0 100.00% 2 0 100.00% 5 0 100.00% 0 0 - 2024-06-26T05:16:04.9825545Z kernels/portable/cpu/op_le.cpp 20 0 100.00% 2 0 100.00% 70 0 100.00% 4 0 100.00% 2024-06-26T05:16:04.9827613Z kernels/portable/cpu/op_leaky_relu.cpp 17 4 76.47% 1 0 100.00% 34 0 100.00% 4 2 50.00% 2024-06-26T05:16:04.9829700Z kernels/portable/cpu/op_lift_fresh_copy.cpp 17 0 100.00% 1 0 100.00% 10 0 100.00% 6 0 100.00% 2024-06-26T05:16:04.9831837Z kernels/portable/cpu/op_linear_scratch_example.cpp 55 55 0.00% 3 3 0.00% 51 51 0.00% 24 24 0.00% 2024-06-26T05:16:04.9833927Z kernels/portable/cpu/op_log.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9835865Z kernels/portable/cpu/op_log10.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9837956Z kernels/portable/cpu/op_log1p.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9839949Z kernels/portable/cpu/op_log2.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9842022Z kernels/portable/cpu/op_log_softmax.cpp 19 0 100.00% 1 0 100.00% 49 0 100.00% 6 0 100.00% 2024-06-26T05:16:04.9844076Z kernels/portable/cpu/op_logical_and.cpp 4 4 0.00% 2 2 0.00% 7 7 0.00% 4 4 0.00% 2024-06-26T05:16:04.9846170Z kernels/portable/cpu/op_logical_not.cpp 17 2 88.24% 1 0 100.00% 24 0 100.00% 4 1 75.00% 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100.00% 4 0 100.00% 2024-06-26T05:16:04.9866771Z kernels/portable/cpu/op_min.cpp 26 2 92.31% 1 0 100.00% 40 0 100.00% 8 1 87.50% 2024-06-26T05:16:04.9868814Z kernels/portable/cpu/op_minimum.cpp 28 10 64.29% 4 1 75.00% 50 3 94.00% 4 1 75.00% 2024-06-26T05:16:04.9870840Z kernels/portable/cpu/op_mm.cpp 17 0 100.00% 1 0 100.00% 24 0 100.00% 4 0 100.00% 2024-06-26T05:16:04.9872859Z kernels/portable/cpu/op_mul.cpp 62 17 72.58% 5 1 80.00% 92 5 94.57% 14 5 64.29% 2024-06-26T05:16:04.9874927Z kernels/portable/cpu/op_native_batch_norm.cpp 63 28 55.56% 3 1 66.67% 112 22 80.36% 18 11 38.89% 2024-06-26T05:16:04.9877062Z kernels/portable/cpu/op_native_group_norm.cpp 68 22 67.65% 2 0 100.00% 100 16 84.00% 34 17 50.00% 2024-06-26T05:16:04.9879329Z kernels/portable/cpu/op_native_layer_norm.cpp 57 13 77.19% 2 0 100.00% 90 12 86.67% 26 10 61.54% 2024-06-26T05:16:04.9881462Z kernels/portable/cpu/op_ne.cpp 20 2 90.00% 2 0 100.00% 70 0 100.00% 4 1 75.00% 2024-06-26T05:16:04.9883497Z kernels/portable/cpu/op_neg.cpp 17 4 76.47% 1 0 100.00% 19 0 100.00% 4 2 50.00% 2024-06-26T05:16:04.9885537Z kernels/portable/cpu/op_nonzero.cpp 38 2 94.74% 3 0 100.00% 48 0 100.00% 18 1 94.44% 2024-06-26T05:16:04.9887584Z kernels/portable/cpu/op_ones.cpp 10 2 80.00% 1 0 100.00% 13 0 100.00% 2 1 50.00% 2024-06-26T05:16:04.9889647Z kernels/portable/cpu/op_pdist_forward.cpp 17 4 76.47% 1 0 100.00% 17 0 100.00% 4 2 50.00% 2024-06-26T05:16:04.9891730Z kernels/portable/cpu/op_permute_copy.cpp 26 3 88.46% 2 0 100.00% 36 0 100.00% 10 2 80.00% 2024-06-26T05:16:04.9893860Z kernels/portable/cpu/op_pixel_shuffle.cpp 17 2 88.24% 1 0 100.00% 56 0 100.00% 4 1 75.00% 2024-06-26T05:16:04.9895946Z kernels/portable/cpu/op_pow.cpp 74 22 70.27% 6 1 83.33% 136 3 97.79% 18 7 61.11% 2024-06-26T05:16:04.9897953Z kernels/portable/cpu/op_prod.cpp 36 8 77.78% 2 0 100.00% 60 0 100.00% 8 4 50.00% 2024-06-26T05:16:04.9900042Z kernels/portable/cpu/op_reciprocal.cpp 2 0 100.00% 2 0 100.00% 6 0 100.00% 0 0 - 2024-06-26T05:16:04.9902128Z kernels/portable/cpu/op_reflection_pad1d.cpp 17 4 76.47% 1 0 100.00% 22 0 100.00% 4 2 50.00% 2024-06-26T05:16:04.9904609Z kernels/portable/cpu/op_reflection_pad2d.cpp 17 4 76.47% 1 0 100.00% 22 0 100.00% 4 2 50.00% 2024-06-26T05:16:04.9906771Z kernels/portable/cpu/op_reflection_pad3d.cpp 17 4 76.47% 1 0 100.00% 22 0 100.00% 4 2 50.00% 2024-06-26T05:16:04.9908845Z kernels/portable/cpu/op_relu.cpp 24 4 83.33% 1 0 100.00% 22 0 100.00% 6 2 66.67% 2024-06-26T05:16:04.9910890Z kernels/portable/cpu/op_remainder.cpp 44 29 34.09% 5 2 60.00% 99 49 50.51% 8 6 25.00% 2024-06-26T05:16:04.9912944Z kernels/portable/cpu/op_repeat.cpp 43 0 100.00% 2 0 100.00% 40 0 100.00% 14 0 100.00% 2024-06-26T05:16:04.9915034Z kernels/portable/cpu/op_replication_pad1d.cpp 17 4 76.47% 1 0 100.00% 19 0 100.00% 4 2 50.00% 2024-06-26T05:16:04.9917198Z kernels/portable/cpu/op_replication_pad2d.cpp 17 4 76.47% 1 0 100.00% 19 0 100.00% 4 2 50.00% 2024-06-26T05:16:04.9919489Z kernels/portable/cpu/op_replication_pad3d.cpp 17 4 76.47% 1 0 100.00% 19 0 100.00% 4 2 50.00% 2024-06-26T05:16:04.9921633Z kernels/portable/cpu/op_roll.cpp 72 16 77.78% 3 0 100.00% 51 2 96.08% 28 10 64.29% 2024-06-26T05:16:04.9923649Z kernels/portable/cpu/op_round.cpp 27 4 85.19% 2 0 100.00% 30 0 100.00% 8 2 75.00% 2024-06-26T05:16:04.9925642Z kernels/portable/cpu/op_rsqrt.cpp 2 0 100.00% 2 0 100.00% 6 0 100.00% 0 0 - 2024-06-26T05:16:04.9927690Z kernels/portable/cpu/op_rsub.cpp 38 2 94.74% 1 0 100.00% 45 0 100.00% 10 1 90.00% 2024-06-26T05:16:04.9929756Z kernels/portable/cpu/op_scalar_tensor.cpp 11 0 100.00% 1 0 100.00% 16 0 100.00% 2 0 100.00% 2024-06-26T05:16:04.9931874Z kernels/portable/cpu/op_scatter_add.cpp 29 1 96.55% 2 0 100.00% 51 2 96.08% 12 1 91.67% 2024-06-26T05:16:04.9933947Z kernels/portable/cpu/op_select_copy.cpp 3 0 100.00% 1 0 100.00% 7 0 100.00% 2 0 100.00% 2024-06-26T05:16:04.9936032Z kernels/portable/cpu/op_select_scatter.cpp 33 0 100.00% 1 0 100.00% 43 0 100.00% 14 0 100.00% 2024-06-26T05:16:04.9938118Z kernels/portable/cpu/op_sigmoid.cpp 25 2 92.00% 1 0 100.00% 28 0 100.00% 6 1 83.33% 2024-06-26T05:16:04.9940267Z kernels/portable/cpu/op_sign.cpp 20 4 80.00% 1 0 100.00% 29 0 100.00% 6 2 66.67% 2024-06-26T05:16:04.9942253Z kernels/portable/cpu/op_sin.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9944239Z kernels/portable/cpu/op_sinh.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9946251Z kernels/portable/cpu/op_slice_copy.cpp 30 1 96.67% 1 0 100.00% 38 2 94.74% 16 1 93.75% 2024-06-26T05:16:04.9948324Z kernels/portable/cpu/op_slice_scatter.cpp 44 1 97.73% 1 0 100.00% 51 2 96.08% 18 1 94.44% 2024-06-26T05:16:04.9950431Z kernels/portable/cpu/op_softmax.cpp 20 0 100.00% 1 0 100.00% 47 0 100.00% 6 0 100.00% 2024-06-26T05:16:04.9952479Z kernels/portable/cpu/op_split_copy.cpp 12 0 100.00% 1 0 100.00% 38 0 100.00% 4 0 100.00% 2024-06-26T05:16:04.9954647Z kernels/portable/cpu/op_split_with_sizes_copy.cpp 28 6 78.57% 1 0 100.00% 75 4 94.67% 12 4 66.67% 2024-06-26T05:16:04.9956710Z kernels/portable/cpu/op_sqrt.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9958872Z kernels/portable/cpu/op_squeeze_copy.cpp 36 4 88.89% 2 0 100.00% 39 0 100.00% 14 4 71.43% 2024-06-26T05:16:04.9960935Z kernels/portable/cpu/op_stack.cpp 19 0 100.00% 1 0 100.00% 38 0 100.00% 6 0 100.00% 2024-06-26T05:16:04.9963015Z kernels/portable/cpu/op_sub.cpp 76 16 78.95% 5 1 80.00% 106 3 97.17% 18 4 77.78% 2024-06-26T05:16:04.9965031Z kernels/portable/cpu/op_sum.cpp 17 0 100.00% 1 0 100.00% 33 0 100.00% 4 0 100.00% 2024-06-26T05:16:04.9967109Z kernels/portable/cpu/op_t_copy.cpp 31 0 100.00% 1 0 100.00% 29 0 100.00% 10 1 90.00% 2024-06-26T05:16:04.9969092Z kernels/portable/cpu/op_tan.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9971045Z kernels/portable/cpu/op_tanh.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9973087Z kernels/portable/cpu/op_to_copy.cpp 22 0 100.00% 2 0 100.00% 25 0 100.00% 6 0 100.00% 2024-06-26T05:16:04.9975164Z kernels/portable/cpu/op_transpose_copy.cpp 21 0 100.00% 1 0 100.00% 27 0 100.00% 8 0 100.00% 2024-06-26T05:16:04.9977270Z kernels/portable/cpu/op_tril.cpp 48 1 97.92% 4 0 100.00% 73 2 97.26% 22 3 86.36% 2024-06-26T05:16:04.9979257Z kernels/portable/cpu/op_trunc.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:04.9981364Z kernels/portable/cpu/op_unbind_copy.cpp 15 0 100.00% 1 0 100.00% 37 0 100.00% 6 0 100.00% 2024-06-26T05:16:04.9983471Z kernels/portable/cpu/op_unsqueeze_copy.cpp 49 0 100.00% 1 0 100.00% 32 0 100.00% 20 0 100.00% 2024-06-26T05:16:04.9985568Z kernels/portable/cpu/op_var.cpp 70 10 85.71% 7 0 100.00% 92 3 96.74% 24 8 66.67% 2024-06-26T05:16:04.9987603Z kernels/portable/cpu/op_view_copy.cpp 24 0 100.00% 1 0 100.00% 24 0 100.00% 8 0 100.00% 2024-06-26T05:16:04.9989680Z kernels/portable/cpu/op_where.cpp 26 5 80.77% 1 0 100.00% 35 0 100.00% 8 2 75.00% 2024-06-26T05:16:04.9991715Z kernels/portable/cpu/op_zeros.cpp 35 8 77.14% 2 0 100.00% 22 0 100.00% 12 4 66.67% 2024-06-26T05:16:04.9993938Z kernels/portable/cpu/pattern/binary_ufunc_realb_realb_to_realb_logical.cpp 10 10 0.00% 1 1 0.00% 27 27 0.00% 2 2 0.00% 2024-06-26T05:16:04.9996212Z kernels/portable/cpu/pattern/bitwise_op.h 10 10 0.00% 3 3 0.00% 21 21 0.00% 0 0 - 2024-06-26T05:16:04.9998642Z kernels/portable/cpu/pattern/unary_ufunc_realh.cpp 18 4 77.78% 1 0 100.00% 19 0 100.00% 4 2 50.00% 2024-06-26T05:16:05.0000963Z kernels/portable/cpu/pattern/unary_ufunc_realhb_to_bool.cpp 18 2 88.89% 1 0 100.00% 25 0 100.00% 4 1 75.00% 2024-06-26T05:16:05.0003282Z kernels/portable/cpu/pattern/unary_ufunc_realhb_to_floath.cpp 18 0 100.00% 1 0 100.00% 25 0 100.00% 4 0 100.00% 2024-06-26T05:16:05.0005482Z kernels/portable/cpu/scalar_utils.h 92 30 67.39% 6 1 83.33% 93 29 68.82% 48 14 70.83% 2024-06-26T05:16:05.0007484Z kernels/portable/cpu/selective_build.h 1 1 0.00% 1 1 0.00% 3 3 0.00% 0 0 - 2024-06-26T05:16:05.0009662Z kernels/portable/cpu/util/activation_ops_util.cpp 126 18 85.71% 5 0 100.00% 57 0 100.00% 44 10 77.27% 2024-06-26T05:16:05.0011920Z kernels/portable/cpu/util/advanced_index_util.cpp 320 26 91.88% 20 0 100.00% 365 15 95.89% 178 17 90.45% 2024-06-26T05:16:05.0014191Z kernels/portable/cpu/util/broadcast_util.cpp 160 43 73.12% 13 0 100.00% 192 2 98.96% 80 19 76.25% 2024-06-26T05:16:05.0016369Z kernels/portable/cpu/util/broadcast_util.h 60 2 96.67% 4 0 100.00% 90 0 100.00% 28 0 100.00% 2024-06-26T05:16:05.0018520Z kernels/portable/cpu/util/copy_ops_util.cpp 959 104 89.16% 32 1 96.88% 621 24 96.14% 388 67 82.73% 2024-06-26T05:16:05.0020805Z kernels/portable/cpu/util/copy_ops_util.h 14 1 92.86% 2 0 100.00% 25 1 96.00% 8 1 87.50% 2024-06-26T05:16:05.0022937Z kernels/portable/cpu/util/distance_util.cpp 77 27 64.94% 3 0 100.00% 30 6 80.00% 24 14 41.67% 2024-06-26T05:16:05.0025143Z kernels/portable/cpu/util/distance_util.h 40 0 100.00% 17 0 100.00% 77 0 100.00% 16 0 100.00% 2024-06-26T05:16:05.0027298Z kernels/portable/cpu/util/functional_util.h 12 0 100.00% 3 0 100.00% 19 0 100.00% 6 0 100.00% 2024-06-26T05:16:05.0029441Z kernels/portable/cpu/util/index_util.cpp 179 31 82.68% 4 0 100.00% 107 18 83.18% 86 24 72.09% 2024-06-26T05:16:05.0031635Z kernels/portable/cpu/util/kernel_ops_util.cpp 618 112 81.88% 28 0 100.00% 407 37 90.91% 250 80 68.00% 2024-06-26T05:16:05.0033858Z kernels/portable/cpu/util/kernel_ops_util.h 58 2 96.55% 3 0 100.00% 149 4 97.32% 50 7 86.00% 2024-06-26T05:16:05.0035963Z kernels/portable/cpu/util/math_util.h 58 8 86.21% 10 1 90.00% 81 9 88.89% 36 9 75.00% 2024-06-26T05:16:05.0038265Z kernels/portable/cpu/util/matmul_ops_util.cpp 124 16 87.10% 5 0 100.00% 37 0 100.00% 34 8 76.47% 2024-06-26T05:16:05.0040512Z kernels/portable/cpu/util/normalization_ops_util.cpp 294 71 75.85% 4 0 100.00% 102 0 100.00% 106 44 58.49% 2024-06-26T05:16:05.0042739Z kernels/portable/cpu/util/padding_util.cpp 52 11 78.85% 2 0 100.00% 25 0 100.00% 22 8 63.64% 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8 2 75.00% 201 34 83.08% 58 23 60.34% 2024-06-26T05:16:05.0081331Z kernels/quantized/cpu/op_mixed_linear.cpp 134 60 55.22% 3 0 100.00% 72 10 86.11% 46 28 39.13% 2024-06-26T05:16:05.0083492Z kernels/quantized/cpu/op_mixed_mm.cpp 105 40 61.90% 3 0 100.00% 54 5 90.74% 32 17 46.88% 2024-06-26T05:16:05.0085579Z kernels/quantized/cpu/op_quantize.cpp 373 272 27.08% 9 3 66.67% 244 37 84.84% 148 99 33.11% 2024-06-26T05:16:05.0087662Z kernels/quantized/test/op_add_test.cpp 8 0 100.00% 6 0 100.00% 306 0 100.00% 0 0 - 2024-06-26T05:16:05.0089739Z kernels/quantized/test/op_choose_qparams_test.cpp 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:05.0091840Z kernels/quantized/test/op_dequantize_test.cpp 6 0 100.00% 4 0 100.00% 102 0 100.00% 0 0 - 2024-06-26T05:16:05.0093985Z kernels/quantized/test/op_embedding4b_test.cpp 5 0 100.00% 3 0 100.00% 97 0 100.00% 0 0 - 2024-06-26T05:16:05.0096091Z kernels/quantized/test/op_embedding_test.cpp 10 0 100.00% 8 0 100.00% 219 0 100.00% 0 0 - 2024-06-26T05:16:05.0098209Z kernels/quantized/test/op_mixed_linear_test.cpp 5 0 100.00% 5 0 100.00% 58 0 100.00% 0 0 - 2024-06-26T05:16:05.0100354Z kernels/quantized/test/op_mixed_mm_test.cpp 4 0 100.00% 4 0 100.00% 30 0 100.00% 0 0 - 2024-06-26T05:16:05.0102404Z kernels/quantized/test/op_quantize_test.cpp 4 0 100.00% 4 0 100.00% 67 0 100.00% 0 0 - 2024-06-26T05:16:05.0104483Z kernels/test/op__to_dim_order_copy_test.cpp 157 5 96.82% 21 0 100.00% 413 11 97.34% 28 5 82.14% 2024-06-26T05:16:05.0106533Z kernels/test/op_abs_test.cpp 3 0 100.00% 2 0 100.00% 12 0 100.00% 0 0 - 2024-06-26T05:16:05.0108493Z kernels/test/op_acos_test.cpp 96 21 78.12% 14 0 100.00% 109 18 83.49% 10 5 50.00% 2024-06-26T05:16:05.0110546Z kernels/test/op_acosh_test.cpp 70 19 72.86% 12 0 100.00% 90 14 84.44% 6 3 50.00% 2024-06-26T05:16:05.0112507Z kernels/test/op_add_test.cpp 55 3 94.55% 30 0 100.00% 396 39 90.15% 2 1 50.00% 2024-06-26T05:16:05.0114497Z kernels/test/op_addmm_test.cpp 40 7 82.50% 18 0 100.00% 457 64 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kernels/test/op_bmm_test.cpp 29 3 89.66% 12 0 100.00% 300 63 79.00% 4 2 50.00% 2024-06-26T05:16:05.0154351Z kernels/test/op_cat_test.cpp 49 6 87.76% 17 0 100.00% 229 24 89.52% 16 6 62.50% 2024-06-26T05:16:05.0156325Z kernels/test/op_cdist_forward_test.cpp 7 0 100.00% 3 0 100.00% 85 0 100.00% 0 0 - 2024-06-26T05:16:05.0158418Z kernels/test/op_ceil_test.cpp 8 1 87.50% 3 0 100.00% 24 2 91.67% 2 1 50.00% 2024-06-26T05:16:05.0160390Z kernels/test/op_clamp_test.cpp 36 4 88.89% 29 1 96.55% 337 44 86.94% 4 1 75.00% 2024-06-26T05:16:05.0162428Z kernels/test/op_clone_test.cpp 42 4 90.48% 12 0 100.00% 170 27 84.12% 6 3 50.00% 2024-06-26T05:16:05.0164481Z kernels/test/op_constant_pad_nd_test.cpp 62 1 98.39% 17 0 100.00% 315 2 99.37% 2 1 50.00% 2024-06-26T05:16:05.0166525Z kernels/test/op_convolution_test.cpp 13 1 92.31% 10 0 100.00% 279 3 98.92% 2 1 50.00% 2024-06-26T05:16:05.0168534Z kernels/test/op_copy_test.cpp 51 4 92.16% 21 0 100.00% 186 10 94.62% 8 4 50.00% 2024-06-26T05:16:05.0170513Z kernels/test/op_cos_test.cpp 96 21 78.12% 14 0 100.00% 109 18 83.49% 10 5 50.00% 2024-06-26T05:16:05.0172491Z kernels/test/op_cosh_test.cpp 96 21 78.12% 14 0 100.00% 109 18 83.49% 10 5 50.00% 2024-06-26T05:16:05.0174520Z kernels/test/op_cumsum_test.cpp 80 2 97.50% 11 0 100.00% 197 23 88.32% 2 1 50.00% 2024-06-26T05:16:05.0176569Z kernels/test/op_detach_copy_test.cpp 33 2 93.94% 12 0 100.00% 153 23 84.97% 2 1 50.00% 2024-06-26T05:16:05.0178595Z kernels/test/op_diagonal_copy_test.cpp 5 0 100.00% 5 0 100.00% 34 0 100.00% 0 0 - 2024-06-26T05:16:05.0180654Z kernels/test/op_div_test.cpp 51 2 96.08% 26 0 100.00% 339 31 90.86% 2 1 50.00% 2024-06-26T05:16:05.0182646Z kernels/test/op_embedding_test.cpp 36 2 94.44% 16 0 100.00% 323 5 98.45% 6 2 66.67% 2024-06-26T05:16:05.0184684Z kernels/test/op_empty_test.cpp 9 1 88.89% 6 0 100.00% 47 8 82.98% 2 1 50.00% 2024-06-26T05:16:05.0186625Z kernels/test/op_eq_test.cpp 34 3 91.18% 10 0 100.00% 96 15 84.38% 6 3 50.00% 2024-06-26T05:16:05.0188592Z kernels/test/op_erf_test.cpp 8 1 87.50% 4 0 100.00% 32 2 93.75% 2 1 50.00% 2024-06-26T05:16:05.0190536Z kernels/test/op_exp_test.cpp 26 2 92.31% 11 0 100.00% 108 4 96.30% 4 2 50.00% 2024-06-26T05:16:05.0192529Z kernels/test/op_expand_copy_test.cpp 53 4 92.45% 25 0 100.00% 316 60 81.01% 8 4 50.00% 2024-06-26T05:16:05.0194499Z kernels/test/op_expm1_test.cpp 2 0 100.00% 2 0 100.00% 12 0 100.00% 0 0 - 2024-06-26T05:16:05.0196480Z kernels/test/op_fill_test.cpp 24 1 95.83% 9 0 100.00% 69 2 97.10% 2 1 50.00% 2024-06-26T05:16:05.0198604Z kernels/test/op_flip_test.cpp 4 0 100.00% 4 0 100.00% 31 0 100.00% 0 0 - 2024-06-26T05:16:05.0200650Z kernels/test/op_floor_divide_test.cpp 30 8 73.33% 20 0 100.00% 221 124 43.89% 2 1 50.00% 2024-06-26T05:16:05.0202651Z kernels/test/op_floor_test.cpp 8 1 87.50% 3 0 100.00% 24 2 91.67% 2 1 50.00% 2024-06-26T05:16:05.0204560Z kernels/test/op_fmod_test.cpp 3 1 66.67% 3 1 66.67% 17 3 82.35% 0 0 - 2024-06-26T05:16:05.0206571Z kernels/test/op_full_like_test.cpp 38 2 94.74% 11 0 100.00% 145 16 88.97% 2 1 50.00% 2024-06-26T05:16:05.0208529Z kernels/test/op_full_test.cpp 3 0 100.00% 3 0 100.00% 18 0 100.00% 0 0 - 2024-06-26T05:16:05.0210510Z kernels/test/op_ge_test.cpp 133 3 97.74% 12 0 100.00% 107 6 94.39% 6 3 50.00% 2024-06-26T05:16:05.0212474Z kernels/test/op_gelu_test.cpp 17 3 82.35% 11 0 100.00% 174 44 74.71% 2 1 50.00% 2024-06-26T05:16:05.0214437Z kernels/test/op_glu_test.cpp 43 3 93.02% 16 0 100.00% 180 44 75.56% 2 1 50.00% 2024-06-26T05:16:05.0216399Z kernels/test/op_gt_test.cpp 133 3 97.74% 12 0 100.00% 107 6 94.39% 6 3 50.00% 2024-06-26T05:16:05.0218379Z kernels/test/op_hardtanh_test.cpp 3 0 100.00% 2 0 100.00% 12 0 100.00% 0 0 - 2024-06-26T05:16:05.0220421Z kernels/test/op_index_put_test.cpp 51 2 96.08% 26 0 100.00% 619 6 99.03% 4 2 50.00% 2024-06-26T05:16:05.0222486Z kernels/test/op_index_select_test.cpp 56 6 89.29% 21 0 100.00% 304 14 95.39% 14 6 57.14% 2024-06-26T05:16:05.0224501Z kernels/test/op_index_test.cpp 45 3 93.33% 23 0 100.00% 384 6 98.44% 6 3 50.00% 2024-06-26T05:16:05.0226455Z kernels/test/op_isinf_test.cpp 13 1 92.31% 6 0 100.00% 53 2 96.23% 2 1 50.00% 2024-06-26T05:16:05.0228446Z kernels/test/op_isnan_test.cpp 13 1 92.31% 6 0 100.00% 53 2 96.23% 2 1 50.00% 2024-06-26T05:16:05.0230390Z kernels/test/op_le_test.cpp 133 3 97.74% 12 0 100.00% 107 6 94.39% 6 3 50.00% 2024-06-26T05:16:05.0232379Z kernels/test/op_leaky_relu_test.cpp 3 0 100.00% 2 0 100.00% 12 0 100.00% 0 0 - 2024-06-26T05:16:05.0234389Z kernels/test/op_lift_fresh_copy_test.cpp 27 1 96.30% 7 0 100.00% 47 2 95.74% 2 1 50.00% 2024-06-26T05:16:05.0236366Z kernels/test/op_log10_test.cpp 2 0 100.00% 2 0 100.00% 15 0 100.00% 0 0 - 2024-06-26T05:16:05.0238402Z kernels/test/op_log1p_test.cpp 2 0 100.00% 2 0 100.00% 13 0 100.00% 0 0 - 2024-06-26T05:16:05.0240360Z kernels/test/op_log2_test.cpp 2 0 100.00% 2 0 100.00% 14 0 100.00% 0 0 - 2024-06-26T05:16:05.0242342Z kernels/test/op_log_softmax_test.cpp 39 8 79.49% 13 0 100.00% 259 35 86.49% 14 7 50.00% 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25 87.11% 4 2 50.00% 2024-06-26T05:16:05.0371075Z kernels/test/op_to_copy_test.cpp 126 5 96.03% 18 0 100.00% 286 11 96.15% 12 5 58.33% 2024-06-26T05:16:05.0373110Z kernels/test/op_transpose_copy_test.cpp 19 3 84.21% 10 0 100.00% 120 18 85.00% 6 3 50.00% 2024-06-26T05:16:05.0375109Z kernels/test/op_tril_test.cpp 30 2 93.33% 20 0 100.00% 462 4 99.13% 4 2 50.00% 2024-06-26T05:16:05.0377074Z kernels/test/op_trunc_test.cpp 2 0 100.00% 2 0 100.00% 14 0 100.00% 0 0 - 2024-06-26T05:16:05.0379052Z kernels/test/op_unbind_copy_test.cpp 47 2 95.74% 17 0 100.00% 211 4 98.10% 0 0 - 2024-06-26T05:16:05.0381149Z kernels/test/op_unsqueeze_copy_test.cpp 65 4 93.85% 15 0 100.00% 211 56 73.46% 22 4 81.82% 2024-06-26T05:16:05.0383164Z kernels/test/op_var_test.cpp 54 4 92.59% 14 0 100.00% 269 14 94.80% 6 3 50.00% 2024-06-26T05:16:05.0385148Z kernels/test/op_view_copy_test.cpp 46 2 95.65% 20 0 100.00% 200 6 97.00% 6 2 66.67% 2024-06-26T05:16:05.0387189Z kernels/test/op_where_test.cpp 37 6 83.78% 18 2 88.89% 320 32 90.00% 4 2 50.00% 2024-06-26T05:16:05.0389176Z kernels/test/op_zeros_test.cpp 9 1 88.89% 6 0 100.00% 49 9 81.63% 2 1 50.00% 2024-06-26T05:16:05.0391169Z runtime/backend/backend_execution_context.h 4 4 0.00% 4 4 0.00% 12 12 0.00% 0 0 - 2024-06-26T05:16:05.0393146Z runtime/backend/backend_init_context.h 2 2 0.00% 2 2 0.00% 4 4 0.00% 0 0 - 2024-06-26T05:16:05.0395114Z runtime/backend/interface.cpp 18 18 0.00% 6 6 0.00% 30 30 0.00% 8 8 0.00% 2024-06-26T05:16:05.0397036Z runtime/backend/interface.h 2 2 0.00% 2 2 0.00% 2 2 0.00% 0 0 - 2024-06-26T05:16:05.0399132Z runtime/core/array_ref.h 54 17 68.52% 16 0 100.00% 50 0 100.00% 14 3 78.57% 2024-06-26T05:16:05.0401040Z runtime/core/data_loader.h 1 0 100.00% 1 0 100.00% 1 0 100.00% 0 0 - 2024-06-26T05:16:05.0402981Z runtime/core/evalue.cpp 7 0 100.00% 1 0 100.00% 15 0 100.00% 4 0 100.00% 2024-06-26T05:16:05.0404917Z runtime/core/evalue.h 250 139 44.40% 53 7 86.79% 223 35 84.30% 60 20 66.67% 2024-06-26T05:16:05.0406818Z runtime/core/event_tracer.h 5 5 0.00% 5 5 0.00% 15 15 0.00% 0 0 - 2024-06-26T05:16:05.0408744Z runtime/core/event_tracer_hooks.h 7 1 85.71% 7 1 85.71% 35 10 71.43% 0 0 - 2024-06-26T05:16:05.0410814Z runtime/core/exec_aten/testing_util/tensor_util.cpp 119 25 78.99% 8 1 87.50% 134 12 91.04% 64 6 90.62% 2024-06-26T05:16:05.0413127Z runtime/core/exec_aten/testing_util/test/tensor_factory_test.cpp 145 5 96.55% 57 0 100.00% 725 0 100.00% 16 0 100.00% 2024-06-26T05:16:05.0415455Z runtime/core/exec_aten/testing_util/test/tensor_util_test.cpp 860 0 100.00% 41 0 100.00% 363 0 100.00% 2 0 100.00% 2024-06-26T05:16:05.0417655Z runtime/core/exec_aten/util/dim_order_util.h 52 3 94.23% 5 0 100.00% 62 2 96.77% 30 2 93.33% 2024-06-26T05:16:05.0419903Z runtime/core/exec_aten/util/scalar_type_util.h 365 133 63.56% 22 6 72.73% 231 101 56.28% 240 53 77.92% 2024-06-26T05:16:05.0422090Z runtime/core/exec_aten/util/tensor_util.h 436 145 66.74% 37 6 83.78% 364 65 82.14% 206 87 57.77% 2024-06-26T05:16:05.0424272Z runtime/core/exec_aten/util/tensor_util_portable.cpp 59 28 52.54% 9 2 77.78% 95 28 70.53% 26 15 42.31% 2024-06-26T05:16:05.0426548Z runtime/core/exec_aten/util/test/dim_order_util_test.cpp 52 0 100.00% 9 0 100.00% 209 0 100.00% 12 0 100.00% 2024-06-26T05:16:05.0428831Z runtime/core/exec_aten/util/test/operator_impl_example_test.cpp 34 16 52.94% 8 0 100.00% 72 3 95.83% 4 1 75.00% 2024-06-26T05:16:05.0431122Z runtime/core/exec_aten/util/test/scalar_type_util_test.cpp 75 1 98.67% 11 0 100.00% 125 0 100.00% 2 0 100.00% 2024-06-26T05:16:05.0433437Z runtime/core/exec_aten/util/test/tensor_util_test.cpp 183 0 100.00% 34 0 100.00% 358 0 100.00% 16 0 100.00% 2024-06-26T05:16:05.0435560Z runtime/core/freeable_buffer.h 11 0 100.00% 7 0 100.00% 26 0 100.00% 4 0 100.00% 2024-06-26T05:16:05.0437605Z runtime/core/hierarchical_allocator.h 12 2 83.33% 2 0 100.00% 20 0 100.00% 4 1 75.00% 2024-06-26T05:16:05.0439730Z runtime/core/memory_allocator.h 39 1 97.44% 12 1 91.67% 53 3 94.34% 10 0 100.00% 2024-06-26T05:16:05.0441695Z runtime/core/portable_type/bits_types.h 5 5 0.00% 5 5 0.00% 5 5 0.00% 0 0 - 2024-06-26T05:16:05.0443645Z runtime/core/portable_type/device.h 2 2 0.00% 2 2 0.00% 7 7 0.00% 0 0 - 2024-06-26T05:16:05.0445691Z runtime/core/portable_type/half.h 38 13 65.79% 33 13 60.61% 237 125 47.26% 6 0 100.00% 2024-06-26T05:16:05.0447747Z runtime/core/portable_type/optional.h 51 9 82.35% 19 1 94.74% 61 4 93.44% 22 5 77.27% 2024-06-26T05:16:05.0449775Z runtime/core/portable_type/qint_types.h 4 4 0.00% 4 4 0.00% 4 4 0.00% 0 0 - 2024-06-26T05:16:05.0451778Z runtime/core/portable_type/scalar.h 65 39 40.00% 13 2 84.62% 44 7 84.09% 14 4 71.43% 2024-06-26T05:16:05.0453823Z runtime/core/portable_type/string_view.h 19 1 94.74% 8 1 87.50% 35 3 91.43% 8 0 100.00% 2024-06-26T05:16:05.0455874Z runtime/core/portable_type/tensor.h 16 1 93.75% 16 1 93.75% 46 3 93.48% 0 0 - 2024-06-26T05:16:05.0457906Z runtime/core/portable_type/tensor_impl.cpp 53 6 88.68% 5 0 100.00% 65 0 100.00% 24 4 83.33% 2024-06-26T05:16:05.0460089Z runtime/core/portable_type/tensor_impl.h 21 4 80.95% 13 1 92.31% 46 5 89.13% 4 2 50.00% 2024-06-26T05:16:05.0462228Z runtime/core/portable_type/test/executor_tensor_test.cpp 13 0 100.00% 4 0 100.00% 41 0 100.00% 0 0 - 2024-06-26T05:16:05.0464380Z runtime/core/portable_type/test/half_test.cpp 42 0 100.00% 22 0 100.00% 158 0 100.00% 0 0 - 2024-06-26T05:16:05.0466505Z runtime/core/portable_type/test/optional_test.cpp 25 0 100.00% 18 0 100.00% 89 0 100.00% 0 0 - 2024-06-26T05:16:05.0468663Z runtime/core/portable_type/test/scalar_test.cpp 11 0 100.00% 4 0 100.00% 30 0 100.00% 0 0 - 2024-06-26T05:16:05.0470839Z runtime/core/portable_type/test/tensor_impl_test.cpp 56 0 100.00% 9 0 100.00% 194 0 100.00% 4 0 100.00% 2024-06-26T05:16:05.0472927Z runtime/core/result.h 21 3 85.71% 10 0 100.00% 33 0 100.00% 6 1 83.33% 2024-06-26T05:16:05.0474812Z runtime/core/span.h 16 4 75.00% 7 0 100.00% 19 0 100.00% 4 3 25.00% 2024-06-26T05:16:05.0476733Z runtime/core/test/array_ref_test.cpp 2 0 100.00% 1 0 100.00% 6 0 100.00% 0 0 - 2024-06-26T05:16:05.0478884Z runtime/core/test/error_handling_test.cpp 69 0 100.00% 18 0 100.00% 130 0 100.00% 14 0 100.00% 2024-06-26T05:16:05.0480997Z runtime/core/test/evalue_test.cpp 46 0 100.00% 17 0 100.00% 134 0 100.00% 0 0 - 2024-06-26T05:16:05.0483103Z runtime/core/test/event_tracer_test.cpp 33 0 100.00% 19 0 100.00% 135 0 100.00% 4 0 100.00% 2024-06-26T05:16:05.0485180Z runtime/core/test/freeable_buffer_test.cpp 27 0 100.00% 6 0 100.00% 79 0 100.00% 0 0 - 2024-06-26T05:16:05.0487300Z runtime/core/test/hierarchical_allocator_test.cpp 25 0 100.00% 3 0 100.00% 89 0 100.00% 0 0 - 2024-06-26T05:16:05.0489448Z runtime/core/test/memory_allocator_test.cpp 68 0 100.00% 30 0 100.00% 259 0 100.00% 6 0 100.00% 2024-06-26T05:16:05.0491498Z runtime/core/test/span_test.cpp 15 0 100.00% 5 0 100.00% 39 0 100.00% 0 0 - 2024-06-26T05:16:05.0493556Z runtime/executor/memory_manager.h 10 3 70.00% 4 0 100.00% 14 0 100.00% 2 1 50.00% 2024-06-26T05:16:05.0495591Z runtime/executor/method.cpp 714 345 51.68% 35 10 71.43% 1000 404 59.60% 372 192 48.39% 2024-06-26T05:16:05.0497585Z runtime/executor/method.h 3 0 100.00% 3 0 100.00% 20 0 100.00% 0 0 - 2024-06-26T05:16:05.0499565Z runtime/executor/method_meta.cpp 78 26 66.67% 17 0 100.00% 140 27 80.71% 40 17 57.50% 2024-06-26T05:16:05.0501591Z runtime/executor/method_meta.h 2 2 0.00% 2 2 0.00% 6 6 0.00% 0 0 - 2024-06-26T05:16:05.0503573Z runtime/executor/program.cpp 190 82 56.84% 14 6 57.14% 284 99 65.14% 88 48 45.45% 2024-06-26T05:16:05.0505513Z runtime/executor/program.h 5 2 60.00% 5 2 60.00% 9 6 33.33% 0 0 - 2024-06-26T05:16:05.0507491Z runtime/executor/tensor_parser.h 19 19 0.00% 1 1 0.00% 23 23 0.00% 8 8 0.00% 2024-06-26T05:16:05.0509534Z runtime/executor/tensor_parser_exec_aten.cpp 35 11 68.57% 2 0 100.00% 47 10 78.72% 14 4 71.43% 2024-06-26T05:16:05.0511658Z runtime/executor/tensor_parser_portable.cpp 79 20 74.68% 1 0 100.00% 90 0 100.00% 32 12 62.50% 2024-06-26T05:16:05.0513845Z runtime/executor/test/allocation_failure_stress_test.cpp 35 4 88.57% 3 0 100.00% 58 0 100.00% 12 2 83.33% 2024-06-26T05:16:05.0516039Z runtime/executor/test/executor_test.cpp 71 1 98.59% 18 1 94.44% 183 1 99.45% 2 0 100.00% 2024-06-26T05:16:05.0518280Z runtime/executor/test/kernel_integration_test.cpp 26 0 100.00% 8 0 100.00% 74 0 100.00% 4 0 100.00% 2024-06-26T05:16:05.0520460Z runtime/executor/test/kernel_resolution_test.cpp 9 2 77.78% 5 2 60.00% 44 8 81.82% 0 0 - 2024-06-26T05:16:05.0522552Z runtime/executor/test/memory_manager_test.cpp 14 0 100.00% 6 0 100.00% 61 0 100.00% 0 0 - 2024-06-26T05:16:05.0524664Z runtime/executor/test/method_test.cpp 68 0 100.00% 12 0 100.00% 173 0 100.00% 10 0 100.00% 2024-06-26T05:16:05.0526833Z runtime/executor/test/tensor_parser_test.cpp 21 0 100.00% 5 0 100.00% 60 0 100.00% 6 1 83.33% 2024-06-26T05:16:05.0528929Z runtime/kernel/kernel_runtime_context.h 27 0 100.00% 5 0 100.00% 21 0 100.00% 4 0 100.00% 2024-06-26T05:16:05.0531046Z runtime/kernel/operator_registry.cpp 208 145 30.29% 11 2 81.82% 140 40 71.43% 58 19 67.24% 2024-06-26T05:16:05.0533109Z runtime/kernel/operator_registry.h 21 5 76.19% 15 4 73.33% 48 25 47.92% 4 1 75.00% 2024-06-26T05:16:05.0535183Z runtime/kernel/test/kernel_runtime_context_test.cpp 13 0 100.00% 9 0 100.00% 58 0 100.00% 0 0 - 2024-06-26T05:16:05.0537357Z runtime/kernel/test/operator_registry_max_kernel_num_test.cpp 9 3 66.67% 6 3 50.00% 23 3 86.96% 0 0 - 2024-06-26T05:16:05.0539556Z runtime/kernel/test/operator_registry_test.cpp 41 6 85.37% 21 6 71.43% 229 15 93.45% 0 0 - 2024-06-26T05:16:05.0541673Z runtime/kernel/test/test_util.h 2 0 100.00% 1 0 100.00% 10 0 100.00% 2 0 100.00% 2024-06-26T05:16:05.0543622Z runtime/platform/abort.cpp 1 1 0.00% 1 1 0.00% 3 3 0.00% 0 0 - 2024-06-26T05:16:05.0545583Z runtime/platform/default/posix.cpp 22 14 36.36% 5 2 60.00% 43 26 39.53% 6 3 50.00% 2024-06-26T05:16:05.0547545Z runtime/platform/log.cpp 2 0 100.00% 2 0 100.00% 5 0 100.00% 0 0 - 2024-06-26T05:16:05.0549441Z runtime/platform/log.h 1 0 100.00% 1 0 100.00% 8 0 100.00% 0 0 - 2024-06-26T05:16:05.0551329Z runtime/platform/runtime.cpp 2 0 100.00% 1 0 100.00% 4 0 100.00% 0 0 - 2024-06-26T05:16:05.0553255Z runtime/platform/system.h 1 0 100.00% 1 0 100.00% 3 0 100.00% 0 0 - 2024-06-26T05:16:05.0555195Z runtime/platform/test/clock_test.cpp 3 0 100.00% 2 0 100.00% 13 0 100.00% 0 0 - 2024-06-26T05:16:05.0557261Z runtime/platform/test/executor_pal_death_test.cpp 3 0 100.00% 2 0 100.00% 15 0 100.00% 0 0 - 2024-06-26T05:16:05.0559454Z runtime/platform/test/executor_pal_test.cpp 5 0 100.00% 3 0 100.00% 15 0 100.00% 0 0 - 2024-06-26T05:16:05.0561512Z runtime/platform/test/logging_test.cpp 3 0 100.00% 3 0 100.00% 12 0 100.00% 0 0 - 2024-06-26T05:16:05.0563628Z runtime/platform/test/stub_platform.cpp 27 21 22.22% 7 4 42.86% 30 19 36.67% 10 9 10.00% 2024-06-26T05:16:05.0565670Z schema/extended_header.cpp 13 3 76.92% 3 0 100.00% 34 9 73.53% 6 2 66.67% 2024-06-26T05:16:05.0567749Z third-party/flatbuffers/include/flatbuffers/allocator.h 3 3 0.00% 3 3 0.00% 14 14 0.00% 0 0 - 2024-06-26T05:16:05.0569951Z third-party/flatbuffers/include/flatbuffers/base.h 7 5 28.57% 7 5 28.57% 24 17 29.17% 0 0 - 2024-06-26T05:16:05.0572177Z third-party/flatbuffers/include/flatbuffers/buffer.h 18 7 61.11% 12 5 58.33% 61 29 52.46% 4 2 50.00% 2024-06-26T05:16:05.0574493Z third-party/flatbuffers/include/flatbuffers/default_allocator.h 6 6 0.00% 6 6 0.00% 21 21 0.00% 0 0 - 2024-06-26T05:16:05.0576806Z third-party/flatbuffers/include/flatbuffers/detached_buffer.h 10 10 0.00% 10 10 0.00% 38 38 0.00% 0 0 - 2024-06-26T05:16:05.0579136Z third-party/flatbuffers/include/flatbuffers/flatbuffer_builder.h 41 41 0.00% 41 41 0.00% 324 324 0.00% 0 0 - 2024-06-26T05:16:05.0581495Z third-party/flatbuffers/include/flatbuffers/flatbuffers.h 4 4 0.00% 4 4 0.00% 51 51 0.00% 0 0 - 2024-06-26T05:16:05.0583725Z third-party/flatbuffers/include/flatbuffers/string.h 8 7 12.50% 8 7 12.50% 20 19 5.00% 0 0 - 2024-06-26T05:16:05.0585909Z third-party/flatbuffers/include/flatbuffers/struct.h 2 2 0.00% 2 2 0.00% 2 2 0.00% 0 0 - 2024-06-26T05:16:05.0588180Z third-party/flatbuffers/include/flatbuffers/table.h 23 12 47.83% 17 12 29.41% 75 54 28.00% 6 0 100.00% 2024-06-26T05:16:05.0590420Z third-party/flatbuffers/include/flatbuffers/vector.h 18 4 77.78% 16 4 75.00% 33 8 75.76% 0 0 - 2024-06-26T05:16:05.0592707Z third-party/flatbuffers/include/flatbuffers/vector_downward.h 18 18 0.00% 18 18 0.00% 75 75 0.00% 0 0 - 2024-06-26T05:16:05.0594981Z third-party/flatbuffers/include/flatbuffers/verifier.h 27 27 0.00% 27 27 0.00% 182 182 0.00% 0 0 - 2024-06-26T05:16:05.0596073Z 2024-06-26T05:16:05.0596205Z Files which contain no functions: 2024-06-26T05:16:05.0597425Z backends/xnnpack/third-party/XNNPACK/include/xnnpack.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0599532Z backends/xnnpack/third-party/XNNPACK/src/xnnpack/common.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0601384Z backends/xnnpack/third-party/XNNPACK/src/xnnpack/memory.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0603295Z backends/xnnpack/third-party/XNNPACK/src/xnnpack/operator.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0605159Z backends/xnnpack/third-party/XNNPACK/src/xnnpack/params.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0607018Z backends/xnnpack/third-party/pthreadpool/include/pthreadpool.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0608947Z examples/models/llama2/third-party/abseil-cpp/absl/base/attributes.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0610900Z examples/models/llama2/third-party/abseil-cpp/absl/base/config.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0612904Z examples/models/llama2/third-party/abseil-cpp/absl/base/optimization.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0614981Z examples/models/llama2/third-party/abseil-cpp/absl/time/internal/cctz/src/tzfile.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0617155Z kernels/optimized/third-party/eigen/Eigen/src/Core/arch/Default/Settings.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0619173Z kernels/optimized/third-party/eigen/Eigen/src/Core/util/Assert.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0621238Z kernels/optimized/third-party/eigen/Eigen/src/Core/util/StaticAssert.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0623161Z kernels/optimized/third-party/eigen/blas/blas.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0624729Z runtime/core/error.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0626237Z runtime/core/portable_type/scalar_type.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0627802Z runtime/platform/assert.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0629275Z runtime/platform/compiler.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0630756Z runtime/platform/profiler.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0632203Z test/utils/DeathTest.h 0 0 - 0 0 - 0 0 - 0 0 - 2024-06-26T05:16:05.0633724Z ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 2024-06-26T05:16:05.0635505Z TOTAL 74155 51072 31.13% 10798 6219 42.41% 205933 153321 25.55% 38562 31595 18.07% 2024-06-26T05:16:05.0636745Z + echo 'Run ExecuTorch regression tests for some models' 2024-06-26T05:16:05.0637299Z Run ExecuTorch regression tests for some models 2024-06-26T05:16:05.0638120Z + source .ci/scripts/test.sh mv3 cmake xnnpack-quantization-delegation '' 2024-06-26T05:16:05.0638736Z ++ set -exu 2024-06-26T05:16:05.0639016Z +++ dirname .ci/scripts/test.sh 2024-06-26T05:16:05.0639376Z ++ source .ci/scripts/utils.sh 2024-06-26T05:16:05.0639720Z ++ MODEL_NAME=mv3 2024-06-26T05:16:05.0640023Z ++ [[ -z mv3 ]] 2024-06-26T05:16:05.0640288Z ++ BUILD_TOOL=cmake 2024-06-26T05:16:05.0640607Z ++ [[ -z cmake ]] 2024-06-26T05:16:05.0640985Z ++ BACKEND=xnnpack-quantization-delegation 2024-06-26T05:16:05.0641495Z ++ [[ -z xnnpack-quantization-delegation ]] 2024-06-26T05:16:05.0641920Z ++ which python 2024-06-26T05:16:05.0642216Z /opt/conda/envs/py_3.10/bin/python 2024-06-26T05:16:05.0642614Z ++ CMAKE_OUTPUT_DIR=cmake-out 2024-06-26T05:16:05.0643137Z ++ [[ xnnpack-quantization-delegation == \p\o\r\t\a\b\l\e ]] 2024-06-26T05:16:05.0643626Z ++ set +e 2024-06-26T05:16:05.0644111Z ++ [[ xnnpack-quantization-delegation == *\q\u\a\n\t\i\z\a\t\i\o\n* ]] 2024-06-26T05:16:05.0645031Z ++ echo '::group::Testing mv3 with XNNPACK quantization only...' 2024-06-26T05:16:05.0646122Z ##[group]Testing mv3 with XNNPACK quantization only... 2024-06-26T05:16:05.0646610Z ++ test_model_with_xnnpack true false 2024-06-26T05:16:05.0646988Z ++ WITH_QUANTIZATION=true 2024-06-26T05:16:05.0647320Z ++ WITH_DELEGATION=false 2024-06-26T05:16:05.0647639Z ++ [[ true == true ]] 2024-06-26T05:16:05.0647928Z ++ [[ false == false ]] 2024-06-26T05:16:05.0648394Z ++ bash examples/xnnpack/quantization/test_quantize.sh cmake mv3 2024-06-26T05:16:05.0648949Z Building quantized ops shared library 2024-06-26T05:16:05.9134037Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:16:06.0158583Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:16:06.0212150Z -- Detecting C compiler ABI info 2024-06-26T05:16:06.1367650Z -- Detecting C compiler ABI info - done 2024-06-26T05:16:06.1428909Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:16:06.1430858Z -- Detecting C compile features 2024-06-26T05:16:06.1434657Z -- Detecting C compile features - done 2024-06-26T05:16:06.1466954Z -- Detecting CXX compiler ABI info 2024-06-26T05:16:06.2912333Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:16:06.2978031Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:16:06.2979841Z -- Detecting CXX compile features 2024-06-26T05:16:06.2984658Z -- Detecting CXX compile features - done 2024-06-26T05:16:06.3034474Z -- Looking for pthread.h 2024-06-26T05:16:06.4689325Z -- Looking for pthread.h - found 2024-06-26T05:16:06.4689984Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:16:06.5819201Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:16:06.5826486Z -- Found Threads: TRUE 2024-06-26T05:16:06.5865171Z -- Downloading FXdiv to /executorch/cmake-out/FXdiv-source (define FXDIV_SOURCE_DIR to avoid it) 2024-06-26T05:16:06.6122619Z -- Configuring done 2024-06-26T05:16:06.6138641Z -- Generating done 2024-06-26T05:16:06.6151773Z -- Build files have been written to: /executorch/cmake-out/FXdiv-download 2024-06-26T05:16:06.6445894Z [ 11%] Creating directories for 'fxdiv' 2024-06-26T05:16:06.6828669Z [ 22%] Performing download step (git clone) for 'fxdiv' 2024-06-26T05:16:06.6934823Z Cloning into 'FXdiv-source'... 2024-06-26T05:16:06.8215700Z Already on 'master' 2024-06-26T05:16:06.8216221Z Your branch is up to date with 'origin/master'. 2024-06-26T05:16:06.8560785Z [ 33%] Performing update step for 'fxdiv' 2024-06-26T05:16:06.9518459Z HEAD is now at 63058ef Export LICENSE file in Bazel build 2024-06-26T05:16:06.9771259Z [ 44%] No patch step for 'fxdiv' 2024-06-26T05:16:06.9911490Z [ 55%] No configure step for 'fxdiv' 2024-06-26T05:16:07.0059378Z [ 66%] No build step for 'fxdiv' 2024-06-26T05:16:07.0203931Z [ 77%] No install step for 'fxdiv' 2024-06-26T05:16:07.0347667Z [ 88%] No test step for 'fxdiv' 2024-06-26T05:16:07.0486768Z [100%] Completed 'fxdiv' 2024-06-26T05:16:07.0745780Z [100%] Built target fxdiv 2024-06-26T05:16:07.0848403Z -- Using python executable 'python' 2024-06-26T05:16:07.1621614Z -- Resolved buck2 as buck2. 2024-06-26T05:16:07.1622054Z -- Killing buck2 daemon 2024-06-26T05:16:07.1629726Z -- executorch: Generating source lists 2024-06-26T05:16:07.1630808Z -- executorch: Generating source file list /executorch/cmake-out/executorch_srcs.cmake 2024-06-26T05:16:08.5192204Z -- executorch: Using sources file /executorch/cmake-out/executorch_srcs.cmake 2024-06-26T05:16:08.5230019Z -- Proceeding with version: 24.3.25.0 2024-06-26T05:16:08.5237729Z -- Looking for strtof_l 2024-06-26T05:16:08.6747120Z -- Looking for strtof_l - found 2024-06-26T05:16:08.6749689Z -- Looking for strtoull_l 2024-06-26T05:16:08.8527523Z -- Looking for strtoull_l - found 2024-06-26T05:16:08.8530980Z -- Looking for realpath 2024-06-26T05:16:08.9731387Z -- Looking for realpath - found 2024-06-26T05:16:08.9732173Z -- CMAKE_CXX_FLAGS: 2024-06-26T05:16:08.9750523Z -- executorch: Using PAL default 'posix' 2024-06-26T05:16:08.9792971Z -- Generating operator lib: 2024-06-26T05:16:08.9793457Z -- LIB_NAME: portable_ops_lib 2024-06-26T05:16:08.9794287Z -- OPS_SCHEMA_YAML: /executorch/kernels/portable/functions.yaml 2024-06-26T05:16:08.9794977Z -- ROOT_OPS: 2024-06-26T05:16:08.9795421Z -- INCLUDE_ALL_OPS: 2024-06-26T05:16:08.9797010Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/executorch/cmake-out/kernels/portable/portable_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/executorch/kernels/portable/functions.yaml" 2024-06-26T05:16:08.9798584Z -- Generating kernel bindings: 2024-06-26T05:16:08.9798993Z -- LIB_NAME: portable_ops_lib 2024-06-26T05:16:08.9799548Z -- FUNCTIONS_YAML: /executorch/kernels/portable/functions.yaml 2024-06-26T05:16:08.9800086Z -- CUSTOM_OPS_YAML: 2024-06-26T05:16:09.1064110Z Generated files /executorch/cmake-out/kernels/portable/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/executorch/cmake-out/kernels/portable/portable_ops_lib/Functions.h;/executorch/cmake-out/kernels/portable/portable_ops_lib/NativeFunctions.h 2024-06-26T05:16:09.1067266Z -- Generating operator lib: 2024-06-26T05:16:09.1067861Z -- LIB_NAME: portable_ops_lib 2024-06-26T05:16:09.1068294Z -- KERNEL_LIBS: portable_kernels 2024-06-26T05:16:09.1068702Z -- DEPS: executorch 2024-06-26T05:16:09.1083096Z -- Generating operator lib: 2024-06-26T05:16:09.1083509Z -- LIB_NAME: quantized_ops_lib 2024-06-26T05:16:09.1084181Z -- OPS_SCHEMA_YAML: /executorch/kernels/quantized/quantized.yaml 2024-06-26T05:16:09.1084866Z -- ROOT_OPS: 2024-06-26T05:16:09.1085308Z -- INCLUDE_ALL_OPS: 2024-06-26T05:16:09.1087016Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/executorch/cmake-out/kernels/quantized/quantized_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/executorch/kernels/quantized/quantized.yaml" 2024-06-26T05:16:09.1088439Z -- Generating kernel bindings: 2024-06-26T05:16:09.1088837Z -- LIB_NAME: quantized_ops_lib 2024-06-26T05:16:09.1089231Z -- FUNCTIONS_YAML: 2024-06-26T05:16:09.1089741Z -- CUSTOM_OPS_YAML: /executorch/kernels/quantized/quantized.yaml 2024-06-26T05:16:09.2350224Z Generated files /executorch/cmake-out/kernels/quantized/quantized_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/executorch/cmake-out/kernels/quantized/quantized_ops_lib/Functions.h;/executorch/cmake-out/kernels/quantized/quantized_ops_lib/NativeFunctions.h;/executorch/cmake-out/kernels/quantized/quantized_ops_lib/RegisterCPUCustomOps.cpp;/executorch/cmake-out/kernels/quantized/quantized_ops_lib/RegisterSchema.cpp;/executorch/cmake-out/kernels/quantized/quantized_ops_lib/CustomOpsNativeFunctions.h 2024-06-26T05:16:09.2353878Z -- Generating operator lib: 2024-06-26T05:16:09.2354290Z -- LIB_NAME: quantized_ops_aot_lib 2024-06-26T05:16:09.2354695Z -- OPS_SCHEMA_YAML: 2024-06-26T05:16:09.2357660Z -- ROOT_OPS: quantized_decomposed::add.out;quantized_decomposed::choose_qparams.Tensor_out;quantized_decomposed::dequantize_per_channel.out;quantized_decomposed::dequantize_per_tensor.out;quantized_decomposed::dequantize_per_tensor.Tensor_out;quantized_decomposed::mixed_linear.out;quantized_decomposed::mixed_mm.out;quantized_decomposed::quantize_per_channel.out;quantized_decomposed::quantize_per_tensor.out;quantized_decomposed::quantize_per_tensor.Tensor_out 2024-06-26T05:16:09.2360502Z -- INCLUDE_ALL_OPS: 2024-06-26T05:16:09.2364272Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/executorch/cmake-out/kernels/quantized/quantized_ops_aot_lib/selected_operators.yaml;--root_ops="quantized_decomposed::add.out;quantized_decomposed::choose_qparams.Tensor_out;quantized_decomposed::dequantize_per_channel.out;quantized_decomposed::dequantize_per_tensor.out;quantized_decomposed::dequantize_per_tensor.Tensor_out;quantized_decomposed::mixed_linear.out;quantized_decomposed::mixed_mm.out;quantized_decomposed::quantize_per_channel.out;quantized_decomposed::quantize_per_tensor.out;quantized_decomposed::quantize_per_tensor.Tensor_out" 2024-06-26T05:16:09.2367750Z -- Generating kernel bindings: 2024-06-26T05:16:09.2368153Z -- LIB_NAME: quantized_ops_aot_lib 2024-06-26T05:16:09.2368571Z -- FUNCTIONS_YAML: 2024-06-26T05:16:09.2369081Z -- CUSTOM_OPS_YAML: /executorch/kernels/quantized/quantized.yaml 2024-06-26T05:16:09.3603878Z -- Generating custom ops aot lib: 2024-06-26T05:16:09.3604762Z -- LIB_NAME: quantized_ops_aot_lib 2024-06-26T05:16:09.3605526Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../kernels/quantized/cpu/op_add.cpp 2024-06-26T05:16:09.3606550Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../kernels/quantized/cpu/op_choose_qparams.cpp 2024-06-26T05:16:09.3607611Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../kernels/quantized/cpu/op_dequantize.cpp 2024-06-26T05:16:09.3608648Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../kernels/quantized/cpu/op_embedding.cpp 2024-06-26T05:16:09.3609821Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../kernels/quantized/cpu/op_embedding4b.cpp 2024-06-26T05:16:09.3610887Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../kernels/quantized/cpu/op_mixed_linear.cpp 2024-06-26T05:16:09.3611918Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../kernels/quantized/cpu/op_mixed_mm.cpp 2024-06-26T05:16:09.3612929Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../kernels/quantized/cpu/op_quantize.cpp 2024-06-26T05:16:09.3613947Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../kernels/portable/cpu/util/reduce_util.cpp 2024-06-26T05:16:09.3615030Z -- KERNEL_SOURCE: /executorch/kernels/quantized/../../runtime/core/exec_aten/util/tensor_util_aten.cpp 2024-06-26T05:16:09.3733093Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2024-06-26T05:16:09.3734377Z static library kineto_LIBRARY-NOTFOUND not found. 2024-06-26T05:16:09.3734860Z Call Stack (most recent call first): 2024-06-26T05:16:09.3735910Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:120 (append_torchlib_if_found) 2024-06-26T05:16:09.3736873Z build/Codegen.cmake:143 (find_package) 2024-06-26T05:16:09.3737400Z kernels/quantized/CMakeLists.txt:87 (gen_custom_ops_aot_lib) 2024-06-26T05:16:09.3737819Z 2024-06-26T05:16:09.3737926Z  2024-06-26T05:16:09.3738554Z -- Found Torch: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so 2024-06-26T05:16:09.3740420Z -- Generating operator lib: 2024-06-26T05:16:09.3741039Z -- LIB_NAME: quantized_ops_lib 2024-06-26T05:16:09.3741468Z -- KERNEL_LIBS: quantized_kernels 2024-06-26T05:16:09.3741879Z -- DEPS: executorch 2024-06-26T05:16:09.3784379Z -- Looking for C++ include unistd.h 2024-06-26T05:16:09.5486506Z -- Looking for C++ include unistd.h - found 2024-06-26T05:16:09.5488389Z -- Looking for C++ include stdint.h 2024-06-26T05:16:09.6959834Z -- Looking for C++ include stdint.h - found 2024-06-26T05:16:09.6961927Z -- Looking for C++ include inttypes.h 2024-06-26T05:16:09.8484161Z -- Looking for C++ include inttypes.h - found 2024-06-26T05:16:09.8486538Z -- Looking for C++ include sys/types.h 2024-06-26T05:16:09.9962267Z -- Looking for C++ include sys/types.h - found 2024-06-26T05:16:09.9964483Z -- Looking for C++ include sys/stat.h 2024-06-26T05:16:10.1428660Z -- Looking for C++ include sys/stat.h - found 2024-06-26T05:16:10.1431249Z -- Looking for C++ include fnmatch.h 2024-06-26T05:16:10.2905517Z -- Looking for C++ include fnmatch.h - found 2024-06-26T05:16:10.2910645Z -- Looking for C++ include stddef.h 2024-06-26T05:16:10.4380343Z -- Looking for C++ include stddef.h - found 2024-06-26T05:16:10.4381073Z -- Check size of uint32_t 2024-06-26T05:16:10.6012451Z -- Check size of uint32_t - done 2024-06-26T05:16:10.6015501Z -- Looking for strtoll 2024-06-26T05:16:10.7518447Z -- Looking for strtoll - found 2024-06-26T05:16:10.7555683Z -- 2024-06-26T05:16:10.7556154Z -- ******** Summary ******** 2024-06-26T05:16:10.7557014Z -- CMAKE_BUILD_TYPE : Release 2024-06-26T05:16:10.7558077Z -- CMAKE_CXX_STANDARD : 17 2024-06-26T05:16:10.7559067Z -- CMAKE_CXX_COMPILER_ID : Clang 2024-06-26T05:16:10.7559915Z -- CMAKE_TOOLCHAIN_FILE : 2024-06-26T05:16:10.7560695Z -- BUCK2 : buck2 2024-06-26T05:16:10.7561441Z -- PYTHON_EXECUTABLE : python 2024-06-26T05:16:10.7561908Z -- FLATC_EXECUTABLE : flatc 2024-06-26T05:16:10.7562406Z -- EXECUTORCH_ENABLE_LOGGING : OFF 2024-06-26T05:16:10.7562951Z -- EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF 2024-06-26T05:16:10.7563580Z -- EXECUTORCH_LOG_LEVEL : Info 2024-06-26T05:16:10.7564115Z -- EXECUTORCH_BUILD_ANDROID_JNI : OFF 2024-06-26T05:16:10.7564647Z -- EXECUTORCH_BUILD_ARM_BAREMETAL : OFF 2024-06-26T05:16:10.7565157Z -- EXECUTORCH_BUILD_COREML : OFF 2024-06-26T05:16:10.7565677Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM : OFF 2024-06-26T05:16:10.7566308Z -- EXECUTORCH_BUILD_EXECUTOR_RUNNER : ON 2024-06-26T05:16:10.7566853Z -- EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : OFF 2024-06-26T05:16:10.7567377Z -- EXECUTORCH_BUILD_EXTENSION_MODULE : OFF 2024-06-26T05:16:10.7567910Z -- EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF 2024-06-26T05:16:10.7568431Z -- EXECUTORCH_BUILD_FLATC : ON 2024-06-26T05:16:10.7568934Z -- EXECUTORCH_BUILD_GFLAGS : ON 2024-06-26T05:16:10.7569449Z -- EXECUTORCH_BUILD_GTESTS : OFF 2024-06-26T05:16:10.7569972Z -- EXECUTORCH_BUILD_HOST_TARGETS : ON 2024-06-26T05:16:10.7570474Z -- EXECUTORCH_BUILD_MPS : OFF 2024-06-26T05:16:10.7570990Z -- EXECUTORCH_BUILD_PYBIND : OFF 2024-06-26T05:16:10.7571497Z -- EXECUTORCH_BUILD_QNN : OFF 2024-06-26T05:16:10.7572001Z -- EXECUTORCH_BUILD_KERNELS_OPTIMIZED : OFF 2024-06-26T05:16:10.7572540Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED : ON 2024-06-26T05:16:10.7573059Z -- EXECUTORCH_BUILD_SDK : OFF 2024-06-26T05:16:10.7573567Z -- EXECUTORCH_BUILD_SIZE_TEST : OFF 2024-06-26T05:16:10.7574082Z -- EXECUTORCH_BUILD_XNNPACK : OFF 2024-06-26T05:16:10.7574596Z -- EXECUTORCH_BUILD_VULKAN : OFF 2024-06-26T05:16:10.7575103Z -- EXECUTORCH_BUILD_PTHREADPOOL : ON 2024-06-26T05:16:10.7575621Z -- EXECUTORCH_BUILD_CPUINFO : ON 2024-06-26T05:16:10.7576084Z -- Configuring done 2024-06-26T05:16:10.8236128Z -- Generating done 2024-06-26T05:16:10.8307380Z -- Build files have been written to: /executorch/cmake-out 2024-06-26T05:16:10.8718988Z [ 0%] Building CXX object 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Linking CXX static library libportable_ops_lib.a 2024-06-26T05:16:30.1491175Z [ 97%] Built target portable_ops_lib 2024-06-26T05:16:30.1624014Z [ 98%] Building CXX object CMakeFiles/executor_runner.dir/examples/portable/executor_runner/executor_runner.cpp.o 2024-06-26T05:16:30.1626318Z [ 98%] Building CXX object CMakeFiles/executor_runner.dir/extension/data_loader/file_data_loader.cpp.o 2024-06-26T05:16:30.1627953Z [ 98%] Building CXX object CMakeFiles/executor_runner.dir/extension/evalue_util/print_evalue.cpp.o 2024-06-26T05:16:30.1629134Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/extension/runner_util/inputs.cpp.o 2024-06-26T05:16:30.2766547Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/extension/runner_util/inputs_portable.cpp.o 2024-06-26T05:16:30.3115180Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/runtime/executor/test/test_backend_compiler_lib.cpp.o 2024-06-26T05:16:30.4269242Z [100%] Linking CXX executable executor_runner 2024-06-26T05:16:30.6846154Z [100%] Built target executor_runner 2024-06-26T05:16:30.6939111Z Run example.py, shared library cmake-out/kernels/quantized/libquantized_ops_aot_lib.so 2024-06-26T05:16:32.6995503Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/passes/_quant_patterns_and_replacements.py:106: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-06-26T05:16:32.6997851Z @impl_abstract("quantized_decomposed::embedding_byte.out") 2024-06-26T05:16:32.7183992Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/passes/_quant_patterns_and_replacements.py:153: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-06-26T05:16:32.7186051Z @impl_abstract("quantized_decomposed::embedding_byte.dtype_out") 2024-06-26T05:16:32.7189578Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/passes/_quant_patterns_and_replacements.py:228: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-06-26T05:16:32.7191773Z @impl_abstract("quantized_decomposed::embedding_4bit.out") 2024-06-26T05:16:32.7194134Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/passes/_quant_patterns_and_replacements.py:281: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-06-26T05:16:32.7196288Z @impl_abstract("quantized_decomposed::embedding_4bit.dtype_out") 2024-06-26T05:16:32.9894651Z [INFO 2024-06-26 05:16:32,989 example.py:141] No registered quantized ops 2024-06-26T05:16:33.1071066Z [INFO 2024-06-26 05:16:33,106 model.py:21] Loading mobilenet_v3 model 2024-06-26T05:16:33.1653565Z [INFO 2024-06-26 05:16:33,164 model.py:25] Loaded mobilenet_v3 model 2024-06-26T05:16:33.1696672Z W0626 05:16:33.169000 139683506276160 torch/_export/__init__.py:92] +============================+ 2024-06-26T05:16:33.1699475Z W0626 05:16:33.169000 139683506276160 torch/_export/__init__.py:93] | !!! WARNING !!! | 2024-06-26T05:16:33.1701514Z W0626 05:16:33.169000 139683506276160 torch/_export/__init__.py:94] +============================+ 2024-06-26T05:16:33.1704211Z W0626 05:16:33.169000 139683506276160 torch/_export/__init__.py:95] capture_pre_autograd_graph() is deprecated and doesn't provide any function guarantee moving forward. 2024-06-26T05:16:33.1706775Z W0626 05:16:33.169000 139683506276160 torch/_export/__init__.py:96] Please switch to use torch.export instead. 2024-06-26T05:16:34.7968939Z [INFO 2024-06-26 05:16:34,796 utils.py:18] Original model: GraphModule() 2024-06-26T05:16:34.7971769Z 2024-06-26T05:16:34.7972050Z 2024-06-26T05:16:34.7972280Z 2024-06-26T05:16:34.7972867Z def forward(self, x): 2024-06-26T05:16:34.7973383Z arg0, = fx_pytree.tree_flatten_spec(([x], {}), self._in_spec) 2024-06-26T05:16:34.7973963Z arg0_1 = arg0 2024-06-26T05:16:34.7974357Z _param_constant0 = self.features_0_0_weight 2024-06-26T05:16:34.7975298Z conv2d = torch.ops.aten.conv2d.default(arg0_1, _param_constant0, None, [2, 2], [1, 1]); arg0_1 = _param_constant0 = None 2024-06-26T05:16:34.7978484Z empty = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.7979697Z _param_constant1 = self.features_0_1_weight 2024-06-26T05:16:34.7980188Z _param_constant2 = self.features_0_1_bias 2024-06-26T05:16:34.7980863Z _tensor_constant0 = self.features_0_1_running_mean 2024-06-26T05:16:34.7981395Z _tensor_constant1 = self.features_0_1_running_var 2024-06-26T05:16:34.7983030Z _native_batch_norm_legit_no_training = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d, _param_constant1, _param_constant2, _tensor_constant0, _tensor_constant1, 0.01, 0.001); conv2d = _param_constant1 = _param_constant2 = _tensor_constant0 = _tensor_constant1 = None 2024-06-26T05:16:34.7984666Z getitem = _native_batch_norm_legit_no_training[0] 2024-06-26T05:16:34.7985206Z getitem_1 = _native_batch_norm_legit_no_training[1] 2024-06-26T05:16:34.7986036Z getitem_2 = _native_batch_norm_legit_no_training[2]; _native_batch_norm_legit_no_training = None 2024-06-26T05:16:34.7986906Z hardswish_ = torch.ops.aten.hardswish_.default(getitem); getitem = None 2024-06-26T05:16:34.7987572Z _param_constant3 = self.features_1_block_0_0_weight 2024-06-26T05:16:34.7988557Z conv2d_1 = torch.ops.aten.conv2d.default(hardswish_, _param_constant3, None, [2, 2], [1, 1], [1, 1], 16); hardswish_ = _param_constant3 = None 2024-06-26T05:16:34.7990004Z empty_1 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.7990911Z _param_constant4 = self.features_1_block_0_1_weight 2024-06-26T05:16:34.7991442Z _param_constant5 = self.features_1_block_0_1_bias 2024-06-26T05:16:34.7992001Z _tensor_constant2 = self.features_1_block_0_1_running_mean 2024-06-26T05:16:34.7992581Z _tensor_constant3 = self.features_1_block_0_1_running_var 2024-06-26T05:16:34.7994277Z _native_batch_norm_legit_no_training_1 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_1, _param_constant4, _param_constant5, _tensor_constant2, _tensor_constant3, 0.01, 0.001); conv2d_1 = _param_constant4 = _param_constant5 = _tensor_constant2 = _tensor_constant3 = None 2024-06-26T05:16:34.7995930Z getitem_3 = _native_batch_norm_legit_no_training_1[0] 2024-06-26T05:16:34.7996474Z getitem_4 = _native_batch_norm_legit_no_training_1[1] 2024-06-26T05:16:34.7997239Z getitem_5 = _native_batch_norm_legit_no_training_1[2]; _native_batch_norm_legit_no_training_1 = None 2024-06-26T05:16:34.7998429Z relu_ = torch.ops.aten.relu_.default(getitem_3); getitem_3 = None 2024-06-26T05:16:34.7999218Z adaptive_avg_pool2d = torch.ops.aten.adaptive_avg_pool2d.default(relu_, [1, 1]) 2024-06-26T05:16:34.7999920Z _param_constant6 = self.features_1_block_1_fc1_weight 2024-06-26T05:16:34.8000467Z _param_constant7 = self.features_1_block_1_fc1_bias 2024-06-26T05:16:34.8001634Z conv2d_2 = torch.ops.aten.conv2d.default(adaptive_avg_pool2d, _param_constant6, _param_constant7); adaptive_avg_pool2d = _param_constant6 = _param_constant7 = None 2024-06-26T05:16:34.8002799Z relu = torch.ops.aten.relu.default(conv2d_2); conv2d_2 = None 2024-06-26T05:16:34.8003416Z _param_constant8 = self.features_1_block_1_fc2_weight 2024-06-26T05:16:34.8003957Z _param_constant9 = self.features_1_block_1_fc2_bias 2024-06-26T05:16:34.8004911Z conv2d_3 = torch.ops.aten.conv2d.default(relu, _param_constant8, _param_constant9); relu = _param_constant8 = _param_constant9 = None 2024-06-26T05:16:34.8006033Z hardsigmoid = torch.ops.aten.hardsigmoid.default(conv2d_3); conv2d_3 = None 2024-06-26T05:16:34.8006897Z mul = torch.ops.aten.mul.Tensor(hardsigmoid, relu_); hardsigmoid = relu_ = None 2024-06-26T05:16:34.8007608Z _param_constant10 = self.features_1_block_2_0_weight 2024-06-26T05:16:34.8008380Z conv2d_4 = torch.ops.aten.conv2d.default(mul, _param_constant10); mul = _param_constant10 = None 2024-06-26T05:16:34.8009654Z empty_2 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8010619Z _param_constant11 = self.features_1_block_2_1_weight 2024-06-26T05:16:34.8011143Z _param_constant12 = self.features_1_block_2_1_bias 2024-06-26T05:16:34.8011709Z _tensor_constant4 = self.features_1_block_2_1_running_mean 2024-06-26T05:16:34.8012297Z _tensor_constant5 = self.features_1_block_2_1_running_var 2024-06-26T05:16:34.8013996Z _native_batch_norm_legit_no_training_2 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_4, _param_constant11, _param_constant12, _tensor_constant4, _tensor_constant5, 0.01, 0.001); conv2d_4 = _param_constant11 = _param_constant12 = _tensor_constant4 = _tensor_constant5 = None 2024-06-26T05:16:34.8015653Z getitem_6 = _native_batch_norm_legit_no_training_2[0] 2024-06-26T05:16:34.8016215Z getitem_7 = _native_batch_norm_legit_no_training_2[1] 2024-06-26T05:16:34.8017028Z getitem_8 = _native_batch_norm_legit_no_training_2[2]; _native_batch_norm_legit_no_training_2 = None 2024-06-26T05:16:34.8017784Z _param_constant13 = self.features_2_block_0_0_weight 2024-06-26T05:16:34.8018635Z conv2d_5 = torch.ops.aten.conv2d.default(getitem_6, _param_constant13); getitem_6 = _param_constant13 = None 2024-06-26T05:16:34.8020035Z empty_3 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8020955Z _param_constant14 = self.features_2_block_0_1_weight 2024-06-26T05:16:34.8021488Z _param_constant15 = self.features_2_block_0_1_bias 2024-06-26T05:16:34.8022049Z _tensor_constant6 = self.features_2_block_0_1_running_mean 2024-06-26T05:16:34.8022639Z _tensor_constant7 = self.features_2_block_0_1_running_var 2024-06-26T05:16:34.8024329Z _native_batch_norm_legit_no_training_3 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_5, _param_constant14, _param_constant15, _tensor_constant6, _tensor_constant7, 0.01, 0.001); conv2d_5 = _param_constant14 = _param_constant15 = _tensor_constant6 = _tensor_constant7 = None 2024-06-26T05:16:34.8026001Z getitem_9 = _native_batch_norm_legit_no_training_3[0] 2024-06-26T05:16:34.8026565Z getitem_10 = _native_batch_norm_legit_no_training_3[1] 2024-06-26T05:16:34.8027348Z getitem_11 = _native_batch_norm_legit_no_training_3[2]; _native_batch_norm_legit_no_training_3 = None 2024-06-26T05:16:34.8028193Z relu__1 = torch.ops.aten.relu_.default(getitem_9); getitem_9 = None 2024-06-26T05:16:34.8028875Z _param_constant16 = self.features_2_block_1_0_weight 2024-06-26T05:16:34.8029831Z conv2d_6 = torch.ops.aten.conv2d.default(relu__1, _param_constant16, None, [2, 2], [1, 1], [1, 1], 72); relu__1 = _param_constant16 = None 2024-06-26T05:16:34.8031239Z empty_4 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8032252Z _param_constant17 = self.features_2_block_1_1_weight 2024-06-26T05:16:34.8032791Z _param_constant18 = self.features_2_block_1_1_bias 2024-06-26T05:16:34.8033345Z _tensor_constant8 = self.features_2_block_1_1_running_mean 2024-06-26T05:16:34.8033932Z _tensor_constant9 = self.features_2_block_1_1_running_var 2024-06-26T05:16:34.8035637Z _native_batch_norm_legit_no_training_4 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_6, _param_constant17, _param_constant18, _tensor_constant8, _tensor_constant9, 0.01, 0.001); conv2d_6 = _param_constant17 = _param_constant18 = _tensor_constant8 = _tensor_constant9 = None 2024-06-26T05:16:34.8037309Z getitem_12 = _native_batch_norm_legit_no_training_4[0] 2024-06-26T05:16:34.8037855Z getitem_13 = _native_batch_norm_legit_no_training_4[1] 2024-06-26T05:16:34.8038724Z getitem_14 = _native_batch_norm_legit_no_training_4[2]; _native_batch_norm_legit_no_training_4 = None 2024-06-26T05:16:34.8039593Z relu__2 = torch.ops.aten.relu_.default(getitem_12); getitem_12 = None 2024-06-26T05:16:34.8040225Z _param_constant19 = self.features_2_block_2_0_weight 2024-06-26T05:16:34.8041105Z conv2d_7 = torch.ops.aten.conv2d.default(relu__2, _param_constant19); relu__2 = _param_constant19 = None 2024-06-26T05:16:34.8042404Z empty_5 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8043320Z _param_constant20 = self.features_2_block_2_1_weight 2024-06-26T05:16:34.8043848Z _param_constant21 = self.features_2_block_2_1_bias 2024-06-26T05:16:34.8044416Z _tensor_constant10 = self.features_2_block_2_1_running_mean 2024-06-26T05:16:34.8045017Z _tensor_constant11 = self.features_2_block_2_1_running_var 2024-06-26T05:16:34.8046772Z _native_batch_norm_legit_no_training_5 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_7, _param_constant20, _param_constant21, _tensor_constant10, _tensor_constant11, 0.01, 0.001); conv2d_7 = _param_constant20 = _param_constant21 = _tensor_constant10 = _tensor_constant11 = None 2024-06-26T05:16:34.8048464Z getitem_15 = _native_batch_norm_legit_no_training_5[0] 2024-06-26T05:16:34.8049036Z getitem_16 = _native_batch_norm_legit_no_training_5[1] 2024-06-26T05:16:34.8050299Z getitem_17 = _native_batch_norm_legit_no_training_5[2]; _native_batch_norm_legit_no_training_5 = None 2024-06-26T05:16:34.8051674Z _param_constant22 = self.features_3_block_0_0_weight 2024-06-26T05:16:34.8053102Z conv2d_8 = torch.ops.aten.conv2d.default(getitem_15, _param_constant22); _param_constant22 = None 2024-06-26T05:16:34.8055413Z empty_6 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8057051Z _param_constant23 = self.features_3_block_0_1_weight 2024-06-26T05:16:34.8058005Z _param_constant24 = self.features_3_block_0_1_bias 2024-06-26T05:16:34.8059011Z _tensor_constant12 = self.features_3_block_0_1_running_mean 2024-06-26T05:16:34.8060150Z _tensor_constant13 = self.features_3_block_0_1_running_var 2024-06-26T05:16:34.8063291Z _native_batch_norm_legit_no_training_6 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_8, _param_constant23, _param_constant24, _tensor_constant12, _tensor_constant13, 0.01, 0.001); conv2d_8 = _param_constant23 = _param_constant24 = _tensor_constant12 = _tensor_constant13 = None 2024-06-26T05:16:34.8066391Z getitem_18 = _native_batch_norm_legit_no_training_6[0] 2024-06-26T05:16:34.8067478Z getitem_19 = _native_batch_norm_legit_no_training_6[1] 2024-06-26T05:16:34.8068854Z getitem_20 = _native_batch_norm_legit_no_training_6[2]; _native_batch_norm_legit_no_training_6 = None 2024-06-26T05:16:34.8070414Z relu__3 = torch.ops.aten.relu_.default(getitem_18); getitem_18 = None 2024-06-26T05:16:34.8071565Z _param_constant25 = self.features_3_block_1_0_weight 2024-06-26T05:16:34.8073314Z conv2d_9 = torch.ops.aten.conv2d.default(relu__3, _param_constant25, None, [1, 1], [1, 1], [1, 1], 88); relu__3 = _param_constant25 = None 2024-06-26T05:16:34.8075883Z empty_7 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8077525Z _param_constant26 = self.features_3_block_1_1_weight 2024-06-26T05:16:34.8078563Z _param_constant27 = self.features_3_block_1_1_bias 2024-06-26T05:16:34.8079557Z _tensor_constant14 = self.features_3_block_1_1_running_mean 2024-06-26T05:16:34.8080627Z _tensor_constant15 = self.features_3_block_1_1_running_var 2024-06-26T05:16:34.8083778Z _native_batch_norm_legit_no_training_7 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_9, _param_constant26, _param_constant27, _tensor_constant14, _tensor_constant15, 0.01, 0.001); conv2d_9 = _param_constant26 = _param_constant27 = _tensor_constant14 = _tensor_constant15 = None 2024-06-26T05:16:34.8086881Z getitem_21 = _native_batch_norm_legit_no_training_7[0] 2024-06-26T05:16:34.8087885Z getitem_22 = _native_batch_norm_legit_no_training_7[1] 2024-06-26T05:16:34.8089364Z getitem_23 = _native_batch_norm_legit_no_training_7[2]; _native_batch_norm_legit_no_training_7 = None 2024-06-26T05:16:34.8090923Z relu__4 = torch.ops.aten.relu_.default(getitem_21); getitem_21 = None 2024-06-26T05:16:34.8092053Z _param_constant28 = self.features_3_block_2_0_weight 2024-06-26T05:16:34.8093527Z conv2d_10 = torch.ops.aten.conv2d.default(relu__4, _param_constant28); relu__4 = _param_constant28 = None 2024-06-26T05:16:34.8095888Z empty_8 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8097528Z _param_constant29 = self.features_3_block_2_1_weight 2024-06-26T05:16:34.8098461Z _param_constant30 = self.features_3_block_2_1_bias 2024-06-26T05:16:34.8099467Z _tensor_constant16 = self.features_3_block_2_1_running_mean 2024-06-26T05:16:34.8100597Z _tensor_constant17 = self.features_3_block_2_1_running_var 2024-06-26T05:16:34.8103809Z _native_batch_norm_legit_no_training_8 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_10, _param_constant29, _param_constant30, _tensor_constant16, _tensor_constant17, 0.01, 0.001); conv2d_10 = _param_constant29 = _param_constant30 = _tensor_constant16 = _tensor_constant17 = None 2024-06-26T05:16:34.8106947Z getitem_24 = _native_batch_norm_legit_no_training_8[0] 2024-06-26T05:16:34.8107947Z getitem_25 = _native_batch_norm_legit_no_training_8[1] 2024-06-26T05:16:34.8109339Z getitem_26 = _native_batch_norm_legit_no_training_8[2]; _native_batch_norm_legit_no_training_8 = None 2024-06-26T05:16:34.8111058Z add_ = torch.ops.aten.add_.Tensor(getitem_24, getitem_15); getitem_24 = getitem_15 = None 2024-06-26T05:16:34.8112384Z _param_constant31 = self.features_4_block_0_0_weight 2024-06-26T05:16:34.8113816Z conv2d_11 = torch.ops.aten.conv2d.default(add_, _param_constant31); add_ = _param_constant31 = None 2024-06-26T05:16:34.8116125Z empty_9 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8117780Z _param_constant32 = self.features_4_block_0_1_weight 2024-06-26T05:16:34.8118821Z _param_constant33 = self.features_4_block_0_1_bias 2024-06-26T05:16:34.8119814Z _tensor_constant18 = self.features_4_block_0_1_running_mean 2024-06-26T05:16:34.8120881Z _tensor_constant19 = self.features_4_block_0_1_running_var 2024-06-26T05:16:34.8124115Z _native_batch_norm_legit_no_training_9 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_11, _param_constant32, _param_constant33, _tensor_constant18, _tensor_constant19, 0.01, 0.001); conv2d_11 = _param_constant32 = _param_constant33 = _tensor_constant18 = _tensor_constant19 = None 2024-06-26T05:16:34.8127251Z getitem_27 = _native_batch_norm_legit_no_training_9[0] 2024-06-26T05:16:34.8128310Z getitem_28 = _native_batch_norm_legit_no_training_9[1] 2024-06-26T05:16:34.8129706Z getitem_29 = _native_batch_norm_legit_no_training_9[2]; _native_batch_norm_legit_no_training_9 = None 2024-06-26T05:16:34.8131370Z hardswish__1 = torch.ops.aten.hardswish_.default(getitem_27); getitem_27 = None 2024-06-26T05:16:34.8132629Z _param_constant34 = self.features_4_block_1_0_weight 2024-06-26T05:16:34.8134418Z conv2d_12 = torch.ops.aten.conv2d.default(hardswish__1, _param_constant34, None, [2, 2], [2, 2], [1, 1], 96); hardswish__1 = _param_constant34 = None 2024-06-26T05:16:34.8137100Z empty_10 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8138766Z _param_constant35 = self.features_4_block_1_1_weight 2024-06-26T05:16:34.8139772Z _param_constant36 = self.features_4_block_1_1_bias 2024-06-26T05:16:34.8140782Z _tensor_constant20 = self.features_4_block_1_1_running_mean 2024-06-26T05:16:34.8141858Z _tensor_constant21 = self.features_4_block_1_1_running_var 2024-06-26T05:16:34.8145029Z _native_batch_norm_legit_no_training_10 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_12, _param_constant35, _param_constant36, _tensor_constant20, _tensor_constant21, 0.01, 0.001); conv2d_12 = _param_constant35 = _param_constant36 = _tensor_constant20 = _tensor_constant21 = None 2024-06-26T05:16:34.8148229Z getitem_30 = _native_batch_norm_legit_no_training_10[0] 2024-06-26T05:16:34.8149245Z getitem_31 = _native_batch_norm_legit_no_training_10[1] 2024-06-26T05:16:34.8150671Z getitem_32 = _native_batch_norm_legit_no_training_10[2]; _native_batch_norm_legit_no_training_10 = None 2024-06-26T05:16:34.8152329Z hardswish__2 = torch.ops.aten.hardswish_.default(getitem_30); getitem_30 = None 2024-06-26T05:16:34.8153943Z adaptive_avg_pool2d_1 = torch.ops.aten.adaptive_avg_pool2d.default(hardswish__2, [1, 1]) 2024-06-26T05:16:34.8155296Z _param_constant37 = self.features_4_block_2_fc1_weight 2024-06-26T05:16:34.8156326Z _param_constant38 = self.features_4_block_2_fc1_bias 2024-06-26T05:16:34.8158476Z conv2d_13 = torch.ops.aten.conv2d.default(adaptive_avg_pool2d_1, _param_constant37, _param_constant38); adaptive_avg_pool2d_1 = _param_constant37 = _param_constant38 = None 2024-06-26T05:16:34.8160705Z relu_1 = torch.ops.aten.relu.default(conv2d_13); conv2d_13 = None 2024-06-26T05:16:34.8161839Z _param_constant39 = self.features_4_block_2_fc2_weight 2024-06-26T05:16:34.8162811Z _param_constant40 = self.features_4_block_2_fc2_bias 2024-06-26T05:16:34.8164606Z conv2d_14 = torch.ops.aten.conv2d.default(relu_1, _param_constant39, _param_constant40); relu_1 = _param_constant39 = _param_constant40 = None 2024-06-26T05:16:34.8166704Z hardsigmoid_1 = torch.ops.aten.hardsigmoid.default(conv2d_14); conv2d_14 = None 2024-06-26T05:16:34.8168456Z mul_1 = torch.ops.aten.mul.Tensor(hardsigmoid_1, hardswish__2); hardsigmoid_1 = hardswish__2 = None 2024-06-26T05:16:34.8169908Z _param_constant41 = self.features_4_block_3_0_weight 2024-06-26T05:16:34.8171355Z conv2d_15 = torch.ops.aten.conv2d.default(mul_1, _param_constant41); mul_1 = _param_constant41 = None 2024-06-26T05:16:34.8173695Z empty_11 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8175334Z _param_constant42 = self.features_4_block_3_1_weight 2024-06-26T05:16:34.8176283Z _param_constant43 = self.features_4_block_3_1_bias 2024-06-26T05:16:34.8177293Z _tensor_constant22 = self.features_4_block_3_1_running_mean 2024-06-26T05:16:34.8178417Z _tensor_constant23 = self.features_4_block_3_1_running_var 2024-06-26T05:16:34.8181623Z _native_batch_norm_legit_no_training_11 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_15, _param_constant42, _param_constant43, _tensor_constant22, _tensor_constant23, 0.01, 0.001); conv2d_15 = _param_constant42 = _param_constant43 = _tensor_constant22 = _tensor_constant23 = None 2024-06-26T05:16:34.8184796Z getitem_33 = _native_batch_norm_legit_no_training_11[0] 2024-06-26T05:16:34.8185829Z getitem_34 = _native_batch_norm_legit_no_training_11[1] 2024-06-26T05:16:34.8187236Z getitem_35 = _native_batch_norm_legit_no_training_11[2]; _native_batch_norm_legit_no_training_11 = None 2024-06-26T05:16:34.8188630Z _param_constant44 = self.features_5_block_0_0_weight 2024-06-26T05:16:34.8190060Z conv2d_16 = torch.ops.aten.conv2d.default(getitem_33, _param_constant44); _param_constant44 = None 2024-06-26T05:16:34.8192387Z empty_12 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8194046Z _param_constant45 = self.features_5_block_0_1_weight 2024-06-26T05:16:34.8195006Z _param_constant46 = self.features_5_block_0_1_bias 2024-06-26T05:16:34.8196014Z _tensor_constant24 = self.features_5_block_0_1_running_mean 2024-06-26T05:16:34.8197069Z _tensor_constant25 = self.features_5_block_0_1_running_var 2024-06-26T05:16:34.8200350Z _native_batch_norm_legit_no_training_12 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_16, _param_constant45, _param_constant46, _tensor_constant24, _tensor_constant25, 0.01, 0.001); conv2d_16 = _param_constant45 = _param_constant46 = _tensor_constant24 = _tensor_constant25 = None 2024-06-26T05:16:34.8203559Z getitem_36 = _native_batch_norm_legit_no_training_12[0] 2024-06-26T05:16:34.8204560Z getitem_37 = _native_batch_norm_legit_no_training_12[1] 2024-06-26T05:16:34.8205983Z getitem_38 = _native_batch_norm_legit_no_training_12[2]; _native_batch_norm_legit_no_training_12 = None 2024-06-26T05:16:34.8207654Z hardswish__3 = torch.ops.aten.hardswish_.default(getitem_36); getitem_36 = None 2024-06-26T05:16:34.8208922Z _param_constant47 = self.features_5_block_1_0_weight 2024-06-26T05:16:34.8210712Z conv2d_17 = torch.ops.aten.conv2d.default(hardswish__3, _param_constant47, None, [1, 1], [2, 2], [1, 1], 240); hardswish__3 = _param_constant47 = None 2024-06-26T05:16:34.8213468Z empty_13 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8215128Z _param_constant48 = self.features_5_block_1_1_weight 2024-06-26T05:16:34.8216062Z _param_constant49 = self.features_5_block_1_1_bias 2024-06-26T05:16:34.8217067Z _tensor_constant26 = self.features_5_block_1_1_running_mean 2024-06-26T05:16:34.8218136Z _tensor_constant27 = self.features_5_block_1_1_running_var 2024-06-26T05:16:34.8221400Z _native_batch_norm_legit_no_training_13 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_17, _param_constant48, _param_constant49, _tensor_constant26, _tensor_constant27, 0.01, 0.001); conv2d_17 = _param_constant48 = _param_constant49 = _tensor_constant26 = _tensor_constant27 = None 2024-06-26T05:16:34.8224523Z getitem_39 = _native_batch_norm_legit_no_training_13[0] 2024-06-26T05:16:34.8225541Z getitem_40 = _native_batch_norm_legit_no_training_13[1] 2024-06-26T05:16:34.8226965Z getitem_41 = _native_batch_norm_legit_no_training_13[2]; _native_batch_norm_legit_no_training_13 = None 2024-06-26T05:16:34.8228633Z hardswish__4 = torch.ops.aten.hardswish_.default(getitem_39); getitem_39 = None 2024-06-26T05:16:34.8230246Z adaptive_avg_pool2d_2 = torch.ops.aten.adaptive_avg_pool2d.default(hardswish__4, [1, 1]) 2024-06-26T05:16:34.8231603Z _param_constant50 = self.features_5_block_2_fc1_weight 2024-06-26T05:16:34.8232585Z _param_constant51 = self.features_5_block_2_fc1_bias 2024-06-26T05:16:34.8234713Z conv2d_18 = torch.ops.aten.conv2d.default(adaptive_avg_pool2d_2, _param_constant50, _param_constant51); adaptive_avg_pool2d_2 = _param_constant50 = _param_constant51 = None 2024-06-26T05:16:34.8236918Z relu_2 = torch.ops.aten.relu.default(conv2d_18); conv2d_18 = None 2024-06-26T05:16:34.8238142Z _param_constant52 = self.features_5_block_2_fc2_weight 2024-06-26T05:16:34.8239162Z _param_constant53 = self.features_5_block_2_fc2_bias 2024-06-26T05:16:34.8240976Z conv2d_19 = torch.ops.aten.conv2d.default(relu_2, _param_constant52, _param_constant53); relu_2 = _param_constant52 = _param_constant53 = None 2024-06-26T05:16:34.8243076Z hardsigmoid_2 = torch.ops.aten.hardsigmoid.default(conv2d_19); conv2d_19 = None 2024-06-26T05:16:34.8244841Z mul_2 = torch.ops.aten.mul.Tensor(hardsigmoid_2, hardswish__4); hardsigmoid_2 = hardswish__4 = None 2024-06-26T05:16:34.8246281Z _param_constant54 = self.features_5_block_3_0_weight 2024-06-26T05:16:34.8247737Z conv2d_20 = torch.ops.aten.conv2d.default(mul_2, _param_constant54); mul_2 = _param_constant54 = None 2024-06-26T05:16:34.8250071Z empty_14 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8251708Z _param_constant55 = self.features_5_block_3_1_weight 2024-06-26T05:16:34.8252652Z _param_constant56 = self.features_5_block_3_1_bias 2024-06-26T05:16:34.8253668Z _tensor_constant28 = self.features_5_block_3_1_running_mean 2024-06-26T05:16:34.8254783Z _tensor_constant29 = self.features_5_block_3_1_running_var 2024-06-26T05:16:34.8257970Z _native_batch_norm_legit_no_training_14 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_20, _param_constant55, _param_constant56, _tensor_constant28, _tensor_constant29, 0.01, 0.001); conv2d_20 = _param_constant55 = _param_constant56 = _tensor_constant28 = _tensor_constant29 = None 2024-06-26T05:16:34.8261159Z getitem_42 = _native_batch_norm_legit_no_training_14[0] 2024-06-26T05:16:34.8262184Z getitem_43 = _native_batch_norm_legit_no_training_14[1] 2024-06-26T05:16:34.8263582Z getitem_44 = _native_batch_norm_legit_no_training_14[2]; _native_batch_norm_legit_no_training_14 = None 2024-06-26T05:16:34.8265338Z add__1 = torch.ops.aten.add_.Tensor(getitem_42, getitem_33); getitem_42 = getitem_33 = None 2024-06-26T05:16:34.8266700Z _param_constant57 = self.features_6_block_0_0_weight 2024-06-26T05:16:34.8268133Z conv2d_21 = torch.ops.aten.conv2d.default(add__1, _param_constant57); _param_constant57 = None 2024-06-26T05:16:34.8270444Z empty_15 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8272108Z _param_constant58 = self.features_6_block_0_1_weight 2024-06-26T05:16:34.8273054Z _param_constant59 = self.features_6_block_0_1_bias 2024-06-26T05:16:34.8274051Z _tensor_constant30 = self.features_6_block_0_1_running_mean 2024-06-26T05:16:34.8275133Z _tensor_constant31 = self.features_6_block_0_1_running_var 2024-06-26T05:16:34.8278432Z _native_batch_norm_legit_no_training_15 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_21, _param_constant58, _param_constant59, _tensor_constant30, _tensor_constant31, 0.01, 0.001); conv2d_21 = _param_constant58 = _param_constant59 = _tensor_constant30 = _tensor_constant31 = None 2024-06-26T05:16:34.8281577Z getitem_45 = _native_batch_norm_legit_no_training_15[0] 2024-06-26T05:16:34.8282585Z getitem_46 = _native_batch_norm_legit_no_training_15[1] 2024-06-26T05:16:34.8295618Z getitem_47 = _native_batch_norm_legit_no_training_15[2]; _native_batch_norm_legit_no_training_15 = None 2024-06-26T05:16:34.8297297Z hardswish__5 = torch.ops.aten.hardswish_.default(getitem_45); getitem_45 = None 2024-06-26T05:16:34.8298573Z _param_constant60 = self.features_6_block_1_0_weight 2024-06-26T05:16:34.8300598Z conv2d_22 = torch.ops.aten.conv2d.default(hardswish__5, _param_constant60, None, [1, 1], [2, 2], [1, 1], 240); hardswish__5 = _param_constant60 = None 2024-06-26T05:16:34.8303337Z empty_16 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8305001Z _param_constant61 = self.features_6_block_1_1_weight 2024-06-26T05:16:34.8306005Z _param_constant62 = self.features_6_block_1_1_bias 2024-06-26T05:16:34.8307027Z _tensor_constant32 = self.features_6_block_1_1_running_mean 2024-06-26T05:16:34.8308103Z _tensor_constant33 = self.features_6_block_1_1_running_var 2024-06-26T05:16:34.8311291Z _native_batch_norm_legit_no_training_16 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_22, _param_constant61, _param_constant62, _tensor_constant32, _tensor_constant33, 0.01, 0.001); conv2d_22 = _param_constant61 = _param_constant62 = _tensor_constant32 = _tensor_constant33 = None 2024-06-26T05:16:34.8314432Z getitem_48 = _native_batch_norm_legit_no_training_16[0] 2024-06-26T05:16:34.8315460Z getitem_49 = _native_batch_norm_legit_no_training_16[1] 2024-06-26T05:16:34.8316876Z getitem_50 = _native_batch_norm_legit_no_training_16[2]; _native_batch_norm_legit_no_training_16 = None 2024-06-26T05:16:34.8318720Z hardswish__6 = torch.ops.aten.hardswish_.default(getitem_48); getitem_48 = None 2024-06-26T05:16:34.8320358Z adaptive_avg_pool2d_3 = torch.ops.aten.adaptive_avg_pool2d.default(hardswish__6, [1, 1]) 2024-06-26T05:16:34.8321723Z _param_constant63 = self.features_6_block_2_fc1_weight 2024-06-26T05:16:34.8322785Z _param_constant64 = self.features_6_block_2_fc1_bias 2024-06-26T05:16:34.8324857Z conv2d_23 = torch.ops.aten.conv2d.default(adaptive_avg_pool2d_3, _param_constant63, _param_constant64); adaptive_avg_pool2d_3 = _param_constant63 = _param_constant64 = None 2024-06-26T05:16:34.8327088Z relu_3 = torch.ops.aten.relu.default(conv2d_23); conv2d_23 = None 2024-06-26T05:16:34.8328239Z _param_constant65 = self.features_6_block_2_fc2_weight 2024-06-26T05:16:34.8329209Z _param_constant66 = self.features_6_block_2_fc2_bias 2024-06-26T05:16:34.8331030Z conv2d_24 = torch.ops.aten.conv2d.default(relu_3, _param_constant65, _param_constant66); relu_3 = _param_constant65 = _param_constant66 = None 2024-06-26T05:16:34.8333131Z hardsigmoid_3 = torch.ops.aten.hardsigmoid.default(conv2d_24); conv2d_24 = None 2024-06-26T05:16:34.8334945Z mul_3 = torch.ops.aten.mul.Tensor(hardsigmoid_3, hardswish__6); hardsigmoid_3 = hardswish__6 = None 2024-06-26T05:16:34.8336384Z _param_constant67 = self.features_6_block_3_0_weight 2024-06-26T05:16:34.8337829Z conv2d_25 = torch.ops.aten.conv2d.default(mul_3, _param_constant67); mul_3 = _param_constant67 = None 2024-06-26T05:16:34.8340238Z empty_17 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8341892Z _param_constant68 = self.features_6_block_3_1_weight 2024-06-26T05:16:34.8342847Z _param_constant69 = self.features_6_block_3_1_bias 2024-06-26T05:16:34.8343865Z _tensor_constant34 = self.features_6_block_3_1_running_mean 2024-06-26T05:16:34.8344926Z _tensor_constant35 = self.features_6_block_3_1_running_var 2024-06-26T05:16:34.8348137Z _native_batch_norm_legit_no_training_17 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_25, _param_constant68, _param_constant69, _tensor_constant34, _tensor_constant35, 0.01, 0.001); conv2d_25 = _param_constant68 = _param_constant69 = _tensor_constant34 = _tensor_constant35 = None 2024-06-26T05:16:34.8351275Z getitem_51 = _native_batch_norm_legit_no_training_17[0] 2024-06-26T05:16:34.8352297Z getitem_52 = _native_batch_norm_legit_no_training_17[1] 2024-06-26T05:16:34.8353696Z getitem_53 = _native_batch_norm_legit_no_training_17[2]; _native_batch_norm_legit_no_training_17 = None 2024-06-26T05:16:34.8355390Z add__2 = torch.ops.aten.add_.Tensor(getitem_51, add__1); getitem_51 = add__1 = None 2024-06-26T05:16:34.8356728Z _param_constant70 = self.features_7_block_0_0_weight 2024-06-26T05:16:34.8358375Z conv2d_26 = torch.ops.aten.conv2d.default(add__2, _param_constant70); add__2 = _param_constant70 = None 2024-06-26T05:16:34.8360735Z empty_18 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8362440Z _param_constant71 = self.features_7_block_0_1_weight 2024-06-26T05:16:34.8363391Z _param_constant72 = self.features_7_block_0_1_bias 2024-06-26T05:16:34.8364379Z _tensor_constant36 = self.features_7_block_0_1_running_mean 2024-06-26T05:16:34.8365446Z _tensor_constant37 = self.features_7_block_0_1_running_var 2024-06-26T05:16:34.8368630Z _native_batch_norm_legit_no_training_18 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_26, _param_constant71, _param_constant72, _tensor_constant36, _tensor_constant37, 0.01, 0.001); conv2d_26 = _param_constant71 = _param_constant72 = _tensor_constant36 = _tensor_constant37 = None 2024-06-26T05:16:34.8371770Z getitem_54 = _native_batch_norm_legit_no_training_18[0] 2024-06-26T05:16:34.8372791Z getitem_55 = _native_batch_norm_legit_no_training_18[1] 2024-06-26T05:16:34.8374202Z getitem_56 = _native_batch_norm_legit_no_training_18[2]; _native_batch_norm_legit_no_training_18 = None 2024-06-26T05:16:34.8375881Z hardswish__7 = torch.ops.aten.hardswish_.default(getitem_54); getitem_54 = None 2024-06-26T05:16:34.8377130Z _param_constant73 = self.features_7_block_1_0_weight 2024-06-26T05:16:34.8378985Z conv2d_27 = torch.ops.aten.conv2d.default(hardswish__7, _param_constant73, None, [1, 1], [2, 2], [1, 1], 120); hardswish__7 = _param_constant73 = None 2024-06-26T05:16:34.8381695Z empty_19 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8383343Z _param_constant74 = self.features_7_block_1_1_weight 2024-06-26T05:16:34.8384294Z _param_constant75 = self.features_7_block_1_1_bias 2024-06-26T05:16:34.8385292Z _tensor_constant38 = self.features_7_block_1_1_running_mean 2024-06-26T05:16:34.8386334Z _tensor_constant39 = self.features_7_block_1_1_running_var 2024-06-26T05:16:34.8389569Z _native_batch_norm_legit_no_training_19 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_27, _param_constant74, _param_constant75, _tensor_constant38, _tensor_constant39, 0.01, 0.001); conv2d_27 = _param_constant74 = _param_constant75 = _tensor_constant38 = _tensor_constant39 = None 2024-06-26T05:16:34.8392720Z getitem_57 = _native_batch_norm_legit_no_training_19[0] 2024-06-26T05:16:34.8393732Z getitem_58 = _native_batch_norm_legit_no_training_19[1] 2024-06-26T05:16:34.8395132Z getitem_59 = _native_batch_norm_legit_no_training_19[2]; _native_batch_norm_legit_no_training_19 = None 2024-06-26T05:16:34.8396813Z hardswish__8 = torch.ops.aten.hardswish_.default(getitem_57); getitem_57 = None 2024-06-26T05:16:34.8398512Z adaptive_avg_pool2d_4 = torch.ops.aten.adaptive_avg_pool2d.default(hardswish__8, [1, 1]) 2024-06-26T05:16:34.8399854Z _param_constant76 = self.features_7_block_2_fc1_weight 2024-06-26T05:16:34.8400824Z _param_constant77 = self.features_7_block_2_fc1_bias 2024-06-26T05:16:34.8402899Z conv2d_28 = torch.ops.aten.conv2d.default(adaptive_avg_pool2d_4, _param_constant76, _param_constant77); adaptive_avg_pool2d_4 = _param_constant76 = _param_constant77 = None 2024-06-26T05:16:34.8405118Z relu_4 = torch.ops.aten.relu.default(conv2d_28); conv2d_28 = None 2024-06-26T05:16:34.8406243Z _param_constant78 = self.features_7_block_2_fc2_weight 2024-06-26T05:16:34.8407218Z _param_constant79 = self.features_7_block_2_fc2_bias 2024-06-26T05:16:34.8409007Z conv2d_29 = torch.ops.aten.conv2d.default(relu_4, _param_constant78, _param_constant79); relu_4 = _param_constant78 = _param_constant79 = None 2024-06-26T05:16:34.8411153Z hardsigmoid_4 = torch.ops.aten.hardsigmoid.default(conv2d_29); conv2d_29 = None 2024-06-26T05:16:34.8412913Z mul_4 = torch.ops.aten.mul.Tensor(hardsigmoid_4, hardswish__8); hardsigmoid_4 = hardswish__8 = None 2024-06-26T05:16:34.8414354Z _param_constant80 = self.features_7_block_3_0_weight 2024-06-26T05:16:34.8415790Z conv2d_30 = torch.ops.aten.conv2d.default(mul_4, _param_constant80); mul_4 = _param_constant80 = None 2024-06-26T05:16:34.8418186Z empty_20 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8419914Z _param_constant81 = self.features_7_block_3_1_weight 2024-06-26T05:16:34.8420859Z _param_constant82 = self.features_7_block_3_1_bias 2024-06-26T05:16:34.8421849Z _tensor_constant40 = self.features_7_block_3_1_running_mean 2024-06-26T05:16:34.8422915Z _tensor_constant41 = self.features_7_block_3_1_running_var 2024-06-26T05:16:34.8426099Z _native_batch_norm_legit_no_training_20 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_30, _param_constant81, _param_constant82, _tensor_constant40, _tensor_constant41, 0.01, 0.001); conv2d_30 = _param_constant81 = _param_constant82 = _tensor_constant40 = _tensor_constant41 = None 2024-06-26T05:16:34.8429240Z getitem_60 = _native_batch_norm_legit_no_training_20[0] 2024-06-26T05:16:34.8430243Z getitem_61 = _native_batch_norm_legit_no_training_20[1] 2024-06-26T05:16:34.8431674Z getitem_62 = _native_batch_norm_legit_no_training_20[2]; _native_batch_norm_legit_no_training_20 = None 2024-06-26T05:16:34.8433067Z _param_constant83 = self.features_8_block_0_0_weight 2024-06-26T05:16:34.8434542Z conv2d_31 = torch.ops.aten.conv2d.default(getitem_60, _param_constant83); _param_constant83 = None 2024-06-26T05:16:34.8436866Z empty_21 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8438610Z _param_constant84 = self.features_8_block_0_1_weight 2024-06-26T05:16:34.8439575Z _param_constant85 = self.features_8_block_0_1_bias 2024-06-26T05:16:34.8440562Z _tensor_constant42 = self.features_8_block_0_1_running_mean 2024-06-26T05:16:34.8441628Z _tensor_constant43 = self.features_8_block_0_1_running_var 2024-06-26T05:16:34.8444853Z _native_batch_norm_legit_no_training_21 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_31, _param_constant84, _param_constant85, _tensor_constant42, _tensor_constant43, 0.01, 0.001); conv2d_31 = _param_constant84 = _param_constant85 = _tensor_constant42 = _tensor_constant43 = None 2024-06-26T05:16:34.8448001Z getitem_63 = _native_batch_norm_legit_no_training_21[0] 2024-06-26T05:16:34.8449004Z getitem_64 = _native_batch_norm_legit_no_training_21[1] 2024-06-26T05:16:34.8450402Z getitem_65 = _native_batch_norm_legit_no_training_21[2]; _native_batch_norm_legit_no_training_21 = None 2024-06-26T05:16:34.8452070Z hardswish__9 = torch.ops.aten.hardswish_.default(getitem_63); getitem_63 = None 2024-06-26T05:16:34.8453310Z _param_constant86 = self.features_8_block_1_0_weight 2024-06-26T05:16:34.8455113Z conv2d_32 = torch.ops.aten.conv2d.default(hardswish__9, _param_constant86, None, [1, 1], [2, 2], [1, 1], 144); hardswish__9 = _param_constant86 = None 2024-06-26T05:16:34.8457796Z empty_22 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8459441Z _param_constant87 = self.features_8_block_1_1_weight 2024-06-26T05:16:34.8460420Z _param_constant88 = self.features_8_block_1_1_bias 2024-06-26T05:16:34.8461425Z _tensor_constant44 = self.features_8_block_1_1_running_mean 2024-06-26T05:16:34.8462483Z _tensor_constant45 = self.features_8_block_1_1_running_var 2024-06-26T05:16:34.8465725Z _native_batch_norm_legit_no_training_22 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_32, _param_constant87, _param_constant88, _tensor_constant44, _tensor_constant45, 0.01, 0.001); conv2d_32 = _param_constant87 = _param_constant88 = _tensor_constant44 = _tensor_constant45 = None 2024-06-26T05:16:34.8468859Z getitem_66 = _native_batch_norm_legit_no_training_22[0] 2024-06-26T05:16:34.8469869Z getitem_67 = _native_batch_norm_legit_no_training_22[1] 2024-06-26T05:16:34.8471269Z getitem_68 = _native_batch_norm_legit_no_training_22[2]; _native_batch_norm_legit_no_training_22 = None 2024-06-26T05:16:34.8473020Z hardswish__10 = torch.ops.aten.hardswish_.default(getitem_66); getitem_66 = None 2024-06-26T05:16:34.8474644Z adaptive_avg_pool2d_5 = torch.ops.aten.adaptive_avg_pool2d.default(hardswish__10, [1, 1]) 2024-06-26T05:16:34.8476006Z _param_constant89 = self.features_8_block_2_fc1_weight 2024-06-26T05:16:34.8476972Z _param_constant90 = self.features_8_block_2_fc1_bias 2024-06-26T05:16:34.8479161Z conv2d_33 = torch.ops.aten.conv2d.default(adaptive_avg_pool2d_5, _param_constant89, _param_constant90); adaptive_avg_pool2d_5 = _param_constant89 = _param_constant90 = None 2024-06-26T05:16:34.8481393Z relu_5 = torch.ops.aten.relu.default(conv2d_33); conv2d_33 = None 2024-06-26T05:16:34.8482511Z _param_constant91 = self.features_8_block_2_fc2_weight 2024-06-26T05:16:34.8483494Z _param_constant92 = self.features_8_block_2_fc2_bias 2024-06-26T05:16:34.8485291Z conv2d_34 = torch.ops.aten.conv2d.default(relu_5, _param_constant91, _param_constant92); relu_5 = _param_constant91 = _param_constant92 = None 2024-06-26T05:16:34.8487396Z hardsigmoid_5 = torch.ops.aten.hardsigmoid.default(conv2d_34); conv2d_34 = None 2024-06-26T05:16:34.8489204Z mul_5 = torch.ops.aten.mul.Tensor(hardsigmoid_5, hardswish__10); hardsigmoid_5 = hardswish__10 = None 2024-06-26T05:16:34.8490664Z _param_constant93 = self.features_8_block_3_0_weight 2024-06-26T05:16:34.8492101Z conv2d_35 = torch.ops.aten.conv2d.default(mul_5, _param_constant93); mul_5 = _param_constant93 = None 2024-06-26T05:16:34.8494424Z empty_23 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8496077Z _param_constant94 = self.features_8_block_3_1_weight 2024-06-26T05:16:34.8497027Z _param_constant95 = self.features_8_block_3_1_bias 2024-06-26T05:16:34.8498021Z _tensor_constant46 = self.features_8_block_3_1_running_mean 2024-06-26T05:16:34.8499084Z _tensor_constant47 = self.features_8_block_3_1_running_var 2024-06-26T05:16:34.8502402Z _native_batch_norm_legit_no_training_23 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_35, _param_constant94, _param_constant95, _tensor_constant46, _tensor_constant47, 0.01, 0.001); conv2d_35 = _param_constant94 = _param_constant95 = _tensor_constant46 = _tensor_constant47 = None 2024-06-26T05:16:34.8505536Z getitem_69 = _native_batch_norm_legit_no_training_23[0] 2024-06-26T05:16:34.8506536Z getitem_70 = _native_batch_norm_legit_no_training_23[1] 2024-06-26T05:16:34.8507943Z getitem_71 = _native_batch_norm_legit_no_training_23[2]; _native_batch_norm_legit_no_training_23 = None 2024-06-26T05:16:34.8509705Z add__3 = torch.ops.aten.add_.Tensor(getitem_69, getitem_60); getitem_69 = getitem_60 = None 2024-06-26T05:16:34.8511038Z _param_constant96 = self.features_9_block_0_0_weight 2024-06-26T05:16:34.8512477Z conv2d_36 = torch.ops.aten.conv2d.default(add__3, _param_constant96); add__3 = _param_constant96 = None 2024-06-26T05:16:34.8514849Z empty_24 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8516494Z _param_constant97 = self.features_9_block_0_1_weight 2024-06-26T05:16:34.8517427Z _param_constant98 = self.features_9_block_0_1_bias 2024-06-26T05:16:34.8518521Z _tensor_constant48 = self.features_9_block_0_1_running_mean 2024-06-26T05:16:34.8519587Z _tensor_constant49 = self.features_9_block_0_1_running_var 2024-06-26T05:16:34.8522817Z _native_batch_norm_legit_no_training_24 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_36, _param_constant97, _param_constant98, _tensor_constant48, _tensor_constant49, 0.01, 0.001); conv2d_36 = _param_constant97 = _param_constant98 = _tensor_constant48 = _tensor_constant49 = None 2024-06-26T05:16:34.8525961Z getitem_72 = _native_batch_norm_legit_no_training_24[0] 2024-06-26T05:16:34.8526976Z getitem_73 = _native_batch_norm_legit_no_training_24[1] 2024-06-26T05:16:34.8528447Z getitem_74 = _native_batch_norm_legit_no_training_24[2]; _native_batch_norm_legit_no_training_24 = None 2024-06-26T05:16:34.8530118Z hardswish__11 = torch.ops.aten.hardswish_.default(getitem_72); getitem_72 = None 2024-06-26T05:16:34.8531381Z _param_constant99 = self.features_9_block_1_0_weight 2024-06-26T05:16:34.8533187Z conv2d_37 = torch.ops.aten.conv2d.default(hardswish__11, _param_constant99, None, [2, 2], [2, 2], [1, 1], 288); hardswish__11 = _param_constant99 = None 2024-06-26T05:16:34.8535882Z empty_25 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8537542Z _param_constant100 = self.features_9_block_1_1_weight 2024-06-26T05:16:34.8538498Z _param_constant101 = self.features_9_block_1_1_bias 2024-06-26T05:16:34.8539498Z _tensor_constant50 = self.features_9_block_1_1_running_mean 2024-06-26T05:16:34.8540609Z _tensor_constant51 = self.features_9_block_1_1_running_var 2024-06-26T05:16:34.8543838Z _native_batch_norm_legit_no_training_25 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_37, _param_constant100, _param_constant101, _tensor_constant50, _tensor_constant51, 0.01, 0.001); conv2d_37 = _param_constant100 = _param_constant101 = _tensor_constant50 = _tensor_constant51 = None 2024-06-26T05:16:34.8547066Z getitem_75 = _native_batch_norm_legit_no_training_25[0] 2024-06-26T05:16:34.8548078Z getitem_76 = _native_batch_norm_legit_no_training_25[1] 2024-06-26T05:16:34.8549482Z getitem_77 = _native_batch_norm_legit_no_training_25[2]; _native_batch_norm_legit_no_training_25 = None 2024-06-26T05:16:34.8551150Z hardswish__12 = torch.ops.aten.hardswish_.default(getitem_75); getitem_75 = None 2024-06-26T05:16:34.8552775Z adaptive_avg_pool2d_6 = torch.ops.aten.adaptive_avg_pool2d.default(hardswish__12, [1, 1]) 2024-06-26T05:16:34.8554112Z _param_constant102 = self.features_9_block_2_fc1_weight 2024-06-26T05:16:34.8555103Z _param_constant103 = self.features_9_block_2_fc1_bias 2024-06-26T05:16:34.8557270Z conv2d_38 = torch.ops.aten.conv2d.default(adaptive_avg_pool2d_6, _param_constant102, _param_constant103); adaptive_avg_pool2d_6 = _param_constant102 = _param_constant103 = None 2024-06-26T05:16:34.8559595Z relu_6 = torch.ops.aten.relu.default(conv2d_38); conv2d_38 = None 2024-06-26T05:16:34.8560730Z _param_constant104 = self.features_9_block_2_fc2_weight 2024-06-26T05:16:34.8561852Z _param_constant105 = self.features_9_block_2_fc2_bias 2024-06-26T05:16:34.8563687Z conv2d_39 = torch.ops.aten.conv2d.default(relu_6, _param_constant104, _param_constant105); relu_6 = _param_constant104 = _param_constant105 = None 2024-06-26T05:16:34.8565820Z hardsigmoid_6 = torch.ops.aten.hardsigmoid.default(conv2d_39); conv2d_39 = None 2024-06-26T05:16:34.8567584Z mul_6 = torch.ops.aten.mul.Tensor(hardsigmoid_6, hardswish__12); hardsigmoid_6 = hardswish__12 = None 2024-06-26T05:16:34.8569041Z _param_constant106 = self.features_9_block_3_0_weight 2024-06-26T05:16:34.8570509Z conv2d_40 = torch.ops.aten.conv2d.default(mul_6, _param_constant106); mul_6 = _param_constant106 = None 2024-06-26T05:16:34.8572890Z empty_26 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8574537Z _param_constant107 = self.features_9_block_3_1_weight 2024-06-26T05:16:34.8575497Z _param_constant108 = self.features_9_block_3_1_bias 2024-06-26T05:16:34.8576502Z _tensor_constant52 = self.features_9_block_3_1_running_mean 2024-06-26T05:16:34.8577628Z _tensor_constant53 = self.features_9_block_3_1_running_var 2024-06-26T05:16:34.8580883Z _native_batch_norm_legit_no_training_26 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_40, _param_constant107, _param_constant108, _tensor_constant52, _tensor_constant53, 0.01, 0.001); conv2d_40 = _param_constant107 = _param_constant108 = _tensor_constant52 = _tensor_constant53 = None 2024-06-26T05:16:34.8584111Z getitem_78 = _native_batch_norm_legit_no_training_26[0] 2024-06-26T05:16:34.8585146Z getitem_79 = _native_batch_norm_legit_no_training_26[1] 2024-06-26T05:16:34.8586560Z getitem_80 = _native_batch_norm_legit_no_training_26[2]; _native_batch_norm_legit_no_training_26 = None 2024-06-26T05:16:34.8587984Z _param_constant109 = self.features_10_block_0_0_weight 2024-06-26T05:16:34.8589456Z conv2d_41 = torch.ops.aten.conv2d.default(getitem_78, _param_constant109); _param_constant109 = None 2024-06-26T05:16:34.8591839Z empty_27 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8593499Z _param_constant110 = self.features_10_block_0_1_weight 2024-06-26T05:16:34.8594481Z _param_constant111 = self.features_10_block_0_1_bias 2024-06-26T05:16:34.8595498Z _tensor_constant54 = self.features_10_block_0_1_running_mean 2024-06-26T05:16:34.8596569Z _tensor_constant55 = self.features_10_block_0_1_running_var 2024-06-26T05:16:34.8599867Z _native_batch_norm_legit_no_training_27 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_41, _param_constant110, _param_constant111, _tensor_constant54, _tensor_constant55, 0.01, 0.001); conv2d_41 = _param_constant110 = _param_constant111 = _tensor_constant54 = _tensor_constant55 = None 2024-06-26T05:16:34.8603110Z getitem_81 = _native_batch_norm_legit_no_training_27[0] 2024-06-26T05:16:34.8604138Z getitem_82 = _native_batch_norm_legit_no_training_27[1] 2024-06-26T05:16:34.8605543Z getitem_83 = _native_batch_norm_legit_no_training_27[2]; _native_batch_norm_legit_no_training_27 = None 2024-06-26T05:16:34.8607238Z hardswish__13 = torch.ops.aten.hardswish_.default(getitem_81); getitem_81 = None 2024-06-26T05:16:34.8608525Z _param_constant112 = self.features_10_block_1_0_weight 2024-06-26T05:16:34.8610375Z conv2d_42 = torch.ops.aten.conv2d.default(hardswish__13, _param_constant112, None, [1, 1], [2, 2], [1, 1], 576); hardswish__13 = _param_constant112 = None 2024-06-26T05:16:34.8613178Z empty_28 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8614858Z _param_constant113 = self.features_10_block_1_1_weight 2024-06-26T05:16:34.8615838Z _param_constant114 = self.features_10_block_1_1_bias 2024-06-26T05:16:34.8616849Z _tensor_constant56 = self.features_10_block_1_1_running_mean 2024-06-26T05:16:34.8617934Z _tensor_constant57 = self.features_10_block_1_1_running_var 2024-06-26T05:16:34.8621211Z _native_batch_norm_legit_no_training_28 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_42, _param_constant113, _param_constant114, _tensor_constant56, _tensor_constant57, 0.01, 0.001); conv2d_42 = _param_constant113 = _param_constant114 = _tensor_constant56 = _tensor_constant57 = None 2024-06-26T05:16:34.8624393Z getitem_84 = _native_batch_norm_legit_no_training_28[0] 2024-06-26T05:16:34.8625405Z getitem_85 = _native_batch_norm_legit_no_training_28[1] 2024-06-26T05:16:34.8626816Z getitem_86 = _native_batch_norm_legit_no_training_28[2]; _native_batch_norm_legit_no_training_28 = None 2024-06-26T05:16:34.8628516Z hardswish__14 = torch.ops.aten.hardswish_.default(getitem_84); getitem_84 = None 2024-06-26T05:16:34.8630134Z adaptive_avg_pool2d_7 = torch.ops.aten.adaptive_avg_pool2d.default(hardswish__14, [1, 1]) 2024-06-26T05:16:34.8631501Z _param_constant115 = self.features_10_block_2_fc1_weight 2024-06-26T05:16:34.8632515Z _param_constant116 = self.features_10_block_2_fc1_bias 2024-06-26T05:16:34.8634696Z conv2d_43 = torch.ops.aten.conv2d.default(adaptive_avg_pool2d_7, _param_constant115, _param_constant116); adaptive_avg_pool2d_7 = _param_constant115 = _param_constant116 = None 2024-06-26T05:16:34.8636955Z relu_7 = torch.ops.aten.relu.default(conv2d_43); conv2d_43 = None 2024-06-26T05:16:34.8638206Z _param_constant117 = self.features_10_block_2_fc2_weight 2024-06-26T05:16:34.8639275Z _param_constant118 = self.features_10_block_2_fc2_bias 2024-06-26T05:16:34.8641122Z conv2d_44 = torch.ops.aten.conv2d.default(relu_7, _param_constant117, _param_constant118); relu_7 = _param_constant117 = _param_constant118 = None 2024-06-26T05:16:34.8643249Z hardsigmoid_7 = torch.ops.aten.hardsigmoid.default(conv2d_44); conv2d_44 = None 2024-06-26T05:16:34.8645019Z mul_7 = torch.ops.aten.mul.Tensor(hardsigmoid_7, hardswish__14); hardsigmoid_7 = hardswish__14 = None 2024-06-26T05:16:34.8646487Z _param_constant119 = self.features_10_block_3_0_weight 2024-06-26T05:16:34.8647972Z conv2d_45 = torch.ops.aten.conv2d.default(mul_7, _param_constant119); mul_7 = _param_constant119 = None 2024-06-26T05:16:34.8650340Z empty_29 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8652015Z _param_constant120 = self.features_10_block_3_1_weight 2024-06-26T05:16:34.8652975Z _param_constant121 = self.features_10_block_3_1_bias 2024-06-26T05:16:34.8654000Z _tensor_constant58 = self.features_10_block_3_1_running_mean 2024-06-26T05:16:34.8655148Z _tensor_constant59 = self.features_10_block_3_1_running_var 2024-06-26T05:16:34.8658346Z _native_batch_norm_legit_no_training_29 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_45, _param_constant120, _param_constant121, _tensor_constant58, _tensor_constant59, 0.01, 0.001); conv2d_45 = _param_constant120 = _param_constant121 = _tensor_constant58 = _tensor_constant59 = None 2024-06-26T05:16:34.8661595Z getitem_87 = _native_batch_norm_legit_no_training_29[0] 2024-06-26T05:16:34.8662614Z getitem_88 = _native_batch_norm_legit_no_training_29[1] 2024-06-26T05:16:34.8664032Z getitem_89 = _native_batch_norm_legit_no_training_29[2]; _native_batch_norm_legit_no_training_29 = None 2024-06-26T05:16:34.8665780Z add__4 = torch.ops.aten.add_.Tensor(getitem_87, getitem_78); getitem_87 = getitem_78 = None 2024-06-26T05:16:34.8667140Z _param_constant122 = self.features_11_block_0_0_weight 2024-06-26T05:16:34.8668639Z conv2d_46 = torch.ops.aten.conv2d.default(add__4, _param_constant122); _param_constant122 = None 2024-06-26T05:16:34.8670945Z empty_30 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8672620Z _param_constant123 = self.features_11_block_0_1_weight 2024-06-26T05:16:34.8673609Z _param_constant124 = self.features_11_block_0_1_bias 2024-06-26T05:16:34.8674641Z _tensor_constant60 = self.features_11_block_0_1_running_mean 2024-06-26T05:16:34.8675711Z _tensor_constant61 = self.features_11_block_0_1_running_var 2024-06-26T05:16:34.8679020Z _native_batch_norm_legit_no_training_30 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_46, _param_constant123, _param_constant124, _tensor_constant60, _tensor_constant61, 0.01, 0.001); conv2d_46 = _param_constant123 = _param_constant124 = _tensor_constant60 = _tensor_constant61 = None 2024-06-26T05:16:34.8682190Z getitem_90 = _native_batch_norm_legit_no_training_30[0] 2024-06-26T05:16:34.8683205Z getitem_91 = _native_batch_norm_legit_no_training_30[1] 2024-06-26T05:16:34.8684632Z getitem_92 = _native_batch_norm_legit_no_training_30[2]; _native_batch_norm_legit_no_training_30 = None 2024-06-26T05:16:34.8686320Z hardswish__15 = torch.ops.aten.hardswish_.default(getitem_90); getitem_90 = None 2024-06-26T05:16:34.8687606Z _param_constant125 = self.features_11_block_1_0_weight 2024-06-26T05:16:34.8689512Z conv2d_47 = torch.ops.aten.conv2d.default(hardswish__15, _param_constant125, None, [1, 1], [2, 2], [1, 1], 576); hardswish__15 = _param_constant125 = None 2024-06-26T05:16:34.8692235Z empty_31 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8693926Z _param_constant126 = self.features_11_block_1_1_weight 2024-06-26T05:16:34.8694952Z _param_constant127 = self.features_11_block_1_1_bias 2024-06-26T05:16:34.8695977Z _tensor_constant62 = self.features_11_block_1_1_running_mean 2024-06-26T05:16:34.8697061Z _tensor_constant63 = self.features_11_block_1_1_running_var 2024-06-26T05:16:34.8700353Z _native_batch_norm_legit_no_training_31 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_47, _param_constant126, _param_constant127, _tensor_constant62, _tensor_constant63, 0.01, 0.001); conv2d_47 = _param_constant126 = _param_constant127 = _tensor_constant62 = _tensor_constant63 = None 2024-06-26T05:16:34.8703525Z getitem_93 = _native_batch_norm_legit_no_training_31[0] 2024-06-26T05:16:34.8704545Z getitem_94 = _native_batch_norm_legit_no_training_31[1] 2024-06-26T05:16:34.8705965Z getitem_95 = _native_batch_norm_legit_no_training_31[2]; _native_batch_norm_legit_no_training_31 = None 2024-06-26T05:16:34.8707644Z hardswish__16 = torch.ops.aten.hardswish_.default(getitem_93); getitem_93 = None 2024-06-26T05:16:34.8709280Z adaptive_avg_pool2d_8 = torch.ops.aten.adaptive_avg_pool2d.default(hardswish__16, [1, 1]) 2024-06-26T05:16:34.8710710Z _param_constant128 = self.features_11_block_2_fc1_weight 2024-06-26T05:16:34.8711719Z _param_constant129 = self.features_11_block_2_fc1_bias 2024-06-26T05:16:34.8713828Z conv2d_48 = torch.ops.aten.conv2d.default(adaptive_avg_pool2d_8, _param_constant128, _param_constant129); adaptive_avg_pool2d_8 = _param_constant128 = _param_constant129 = None 2024-06-26T05:16:34.8716081Z relu_8 = torch.ops.aten.relu.default(conv2d_48); conv2d_48 = None 2024-06-26T05:16:34.8717241Z _param_constant130 = self.features_11_block_2_fc2_weight 2024-06-26T05:16:34.8718343Z _param_constant131 = self.features_11_block_2_fc2_bias 2024-06-26T05:16:34.8720197Z conv2d_49 = torch.ops.aten.conv2d.default(relu_8, _param_constant130, _param_constant131); relu_8 = _param_constant130 = _param_constant131 = None 2024-06-26T05:16:34.8722332Z hardsigmoid_8 = torch.ops.aten.hardsigmoid.default(conv2d_49); conv2d_49 = None 2024-06-26T05:16:34.8724185Z mul_8 = torch.ops.aten.mul.Tensor(hardsigmoid_8, hardswish__16); hardsigmoid_8 = hardswish__16 = None 2024-06-26T05:16:34.8725660Z _param_constant132 = self.features_11_block_3_0_weight 2024-06-26T05:16:34.8727132Z conv2d_50 = torch.ops.aten.conv2d.default(mul_8, _param_constant132); mul_8 = _param_constant132 = None 2024-06-26T05:16:34.8729481Z empty_32 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8731139Z _param_constant133 = self.features_11_block_3_1_weight 2024-06-26T05:16:34.8732121Z _param_constant134 = self.features_11_block_3_1_bias 2024-06-26T05:16:34.8733148Z _tensor_constant64 = self.features_11_block_3_1_running_mean 2024-06-26T05:16:34.8734214Z _tensor_constant65 = self.features_11_block_3_1_running_var 2024-06-26T05:16:34.8737440Z _native_batch_norm_legit_no_training_32 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_50, _param_constant133, _param_constant134, _tensor_constant64, _tensor_constant65, 0.01, 0.001); conv2d_50 = _param_constant133 = _param_constant134 = _tensor_constant64 = _tensor_constant65 = None 2024-06-26T05:16:34.8740750Z getitem_96 = _native_batch_norm_legit_no_training_32[0] 2024-06-26T05:16:34.8741772Z getitem_97 = _native_batch_norm_legit_no_training_32[1] 2024-06-26T05:16:34.8743177Z getitem_98 = _native_batch_norm_legit_no_training_32[2]; _native_batch_norm_legit_no_training_32 = None 2024-06-26T05:16:34.8744948Z add__5 = torch.ops.aten.add_.Tensor(getitem_96, add__4); getitem_96 = add__4 = None 2024-06-26T05:16:34.8746184Z _param_constant135 = self.features_12_0_weight 2024-06-26T05:16:34.8747621Z conv2d_51 = torch.ops.aten.conv2d.default(add__5, _param_constant135); add__5 = _param_constant135 = None 2024-06-26T05:16:34.8749990Z empty_33 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:16:34.8751659Z _param_constant136 = self.features_12_1_weight 2024-06-26T05:16:34.8752529Z _param_constant137 = self.features_12_1_bias 2024-06-26T05:16:34.8753417Z _tensor_constant66 = self.features_12_1_running_mean 2024-06-26T05:16:34.8754370Z _tensor_constant67 = self.features_12_1_running_var 2024-06-26T05:16:34.8757532Z _native_batch_norm_legit_no_training_33 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_51, _param_constant136, _param_constant137, _tensor_constant66, _tensor_constant67, 0.01, 0.001); conv2d_51 = _param_constant136 = _param_constant137 = _tensor_constant66 = _tensor_constant67 = None 2024-06-26T05:16:34.8760781Z getitem_99 = _native_batch_norm_legit_no_training_33[0] 2024-06-26T05:16:34.8761797Z getitem_100 = _native_batch_norm_legit_no_training_33[1] 2024-06-26T05:16:34.8763234Z getitem_101 = _native_batch_norm_legit_no_training_33[2]; _native_batch_norm_legit_no_training_33 = None 2024-06-26T05:16:34.8764933Z hardswish__17 = torch.ops.aten.hardswish_.default(getitem_99); getitem_99 = None 2024-06-26T05:16:34.8766835Z adaptive_avg_pool2d_9 = torch.ops.aten.adaptive_avg_pool2d.default(hardswish__17, [1, 1]); hardswish__17 = None 2024-06-26T05:16:34.8768860Z flatten = torch.ops.aten.flatten.using_ints(adaptive_avg_pool2d_9, 1); adaptive_avg_pool2d_9 = None 2024-06-26T05:16:34.8770266Z _param_constant138 = self.classifier_0_weight 2024-06-26T05:16:34.8771121Z _param_constant139 = self.classifier_0_bias 2024-06-26T05:16:34.8772914Z linear = torch.ops.aten.linear.default(flatten, _param_constant138, _param_constant139); flatten = _param_constant138 = _param_constant139 = None 2024-06-26T05:16:34.8774972Z hardswish__18 = torch.ops.aten.hardswish_.default(linear); linear = None 2024-06-26T05:16:34.8776549Z dropout_ = torch.ops.aten.dropout_.default(hardswish__18, 0.2, False); hardswish__18 = None 2024-06-26T05:16:34.8777862Z _param_constant140 = self.classifier_3_weight 2024-06-26T05:16:34.8778778Z _param_constant141 = self.classifier_3_bias 2024-06-26T05:16:34.8780639Z linear_1 = torch.ops.aten.linear.default(dropout_, _param_constant140, _param_constant141); dropout_ = _param_constant140 = _param_constant141 = None 2024-06-26T05:16:34.8782557Z return pytree.tree_unflatten([linear_1], self._out_spec) 2024-06-26T05:16:34.8783406Z 2024-06-26T05:16:34.8784126Z # To see more debug info, please use `graph_module.print_readable()` 2024-06-26T05:16:36.8829367Z [INFO 2024-06-26 05:16:36,881 utils.py:27] Quantized model: GraphModule() 2024-06-26T05:16:36.8830930Z 2024-06-26T05:16:36.8831117Z 2024-06-26T05:16:36.8833401Z 2024-06-26T05:16:36.8833683Z def forward(self, x): 2024-06-26T05:16:36.8834583Z arg0, = fx_pytree.tree_flatten_spec(([x], {}), self._in_spec) 2024-06-26T05:16:36.8836067Z arg0_1 = arg0 2024-06-26T05:16:36.8838071Z quantize_per_tensor_default = torch.ops.quantized_decomposed.quantize_per_tensor.default(arg0_1, 0.031035112217068672, 1, -128, 127, torch.int8); arg0_1 = None 2024-06-26T05:16:36.8841419Z dequantize_per_tensor_default = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default, 0.031035112217068672, 1, -128, 127, torch.int8); quantize_per_tensor_default = None 2024-06-26T05:16:36.8843504Z _frozen_param0 = self._frozen_param0 2024-06-26T05:16:36.8845781Z dequantize_per_tensor_default_1 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param0, 0.13800540566444397, 0, -127, 127, torch.int8); _frozen_param0 = None 2024-06-26T05:16:36.8848019Z features_0_0_weight_bias = self.features_0_0_weight_bias 2024-06-26T05:16:36.8850331Z conv2d = torch.ops.aten.conv2d.default(dequantize_per_tensor_default, dequantize_per_tensor_default_1, features_0_0_weight_bias, [2, 2], [1, 1]); dequantize_per_tensor_default = dequantize_per_tensor_default_1 = features_0_0_weight_bias = None 2024-06-26T05:16:36.8854429Z quantize_per_tensor_default_2 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d, 0.9651816487312317, -9, -128, 127, torch.int8); conv2d = None 2024-06-26T05:16:36.8858228Z dequantize_per_tensor_default_2 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2, 0.9651816487312317, -9, -128, 127, torch.int8); quantize_per_tensor_default_2 = None 2024-06-26T05:16:36.8861340Z hardswish_ = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_2); dequantize_per_tensor_default_2 = None 2024-06-26T05:16:36.8864576Z quantize_per_tensor_default_3 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish_, 0.4643757939338684, -127, -128, 127, torch.int8); hardswish_ = None 2024-06-26T05:16:36.8868656Z dequantize_per_tensor_default_3 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_3, 0.4643757939338684, -127, -128, 127, torch.int8); quantize_per_tensor_default_3 = None 2024-06-26T05:16:36.8871157Z _frozen_param1 = self._frozen_param1 2024-06-26T05:16:36.8873609Z dequantize_per_tensor_default_4 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param1, 0.19347569346427917, 0, -127, 127, torch.int8); _frozen_param1 = None 2024-06-26T05:16:36.8876255Z features_1_block_0_0_weight_bias = self.features_1_block_0_0_weight_bias 2024-06-26T05:16:36.8879655Z conv2d_1 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_3, dequantize_per_tensor_default_4, features_1_block_0_0_weight_bias, [2, 2], [1, 1], [1, 1], 16); dequantize_per_tensor_default_3 = dequantize_per_tensor_default_4 = features_1_block_0_0_weight_bias = None 2024-06-26T05:16:36.8882890Z relu_ = torch.ops.aten.relu_.default(conv2d_1); conv2d_1 = None 2024-06-26T05:16:36.8885721Z quantize_per_tensor_default_5 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu_, 0.03436274453997612, -128, -128, 127, torch.int8); relu_ = None 2024-06-26T05:16:36.8889461Z dequantize_per_tensor_default_164 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_5, 0.03436274453997612, -128, -128, 127, torch.int8) 2024-06-26T05:16:36.8893652Z dequantize_per_tensor_default_163 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_5, 0.03436274453997612, -128, -128, 127, torch.int8); quantize_per_tensor_default_5 = None 2024-06-26T05:16:36.8897270Z adaptive_avg_pool2d = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_163, [1, 1]); dequantize_per_tensor_default_163 = None 2024-06-26T05:16:36.8900981Z quantize_per_tensor_default_6 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d, 0.03436274453997612, -128, -128, 127, torch.int8); adaptive_avg_pool2d = None 2024-06-26T05:16:36.8905283Z dequantize_per_tensor_default_6 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_6, 0.03436274453997612, -128, -128, 127, torch.int8); quantize_per_tensor_default_6 = None 2024-06-26T05:16:36.8907790Z _frozen_param2 = self._frozen_param2 2024-06-26T05:16:36.8910165Z dequantize_per_tensor_default_7 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param2, 0.000244140625, 0, -127, 127, torch.int8); _frozen_param2 = None 2024-06-26T05:16:36.8912374Z _param_constant7 = self.features_1_block_1_fc1_bias 2024-06-26T05:16:36.8915340Z conv2d_2 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_6, dequantize_per_tensor_default_7, _param_constant7); dequantize_per_tensor_default_6 = dequantize_per_tensor_default_7 = _param_constant7 = None 2024-06-26T05:16:36.8918197Z relu = torch.ops.aten.relu.default(conv2d_2); conv2d_2 = None 2024-06-26T05:16:36.8920663Z quantize_per_tensor_default_8 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu, 0.000244140625, -128, -128, 127, torch.int8); relu = None 2024-06-26T05:16:36.8924396Z dequantize_per_tensor_default_8 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_8, 0.000244140625, -128, -128, 127, torch.int8); quantize_per_tensor_default_8 = None 2024-06-26T05:16:36.8927006Z _frozen_param3 = self._frozen_param3 2024-06-26T05:16:36.8929423Z dequantize_per_tensor_default_9 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param3, 0.000244140625, 0, -127, 127, torch.int8); _frozen_param3 = None 2024-06-26T05:16:36.8931675Z _param_constant9 = self.features_1_block_1_fc2_bias 2024-06-26T05:16:36.8934335Z conv2d_3 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_8, dequantize_per_tensor_default_9, _param_constant9); dequantize_per_tensor_default_8 = dequantize_per_tensor_default_9 = _param_constant9 = None 2024-06-26T05:16:36.8938400Z quantize_per_tensor_default_10 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_3, 0.009770921431481838, -12, -128, 127, torch.int8); conv2d_3 = None 2024-06-26T05:16:36.8942589Z dequantize_per_tensor_default_10 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_10, 0.009770921431481838, -12, -128, 127, torch.int8); quantize_per_tensor_default_10 = None 2024-06-26T05:16:36.8946127Z hardsigmoid = torch.ops.aten.hardsigmoid.default(dequantize_per_tensor_default_10); dequantize_per_tensor_default_10 = None 2024-06-26T05:16:36.8949488Z quantize_per_tensor_default_11 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardsigmoid, 0.0028459904715418816, -128, -128, 127, torch.int8); hardsigmoid = None 2024-06-26T05:16:36.8953739Z dequantize_per_tensor_default_11 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_11, 0.0028459904715418816, -128, -128, 127, torch.int8); quantize_per_tensor_default_11 = None 2024-06-26T05:16:36.8957659Z mul = torch.ops.aten.mul.Tensor(dequantize_per_tensor_default_11, dequantize_per_tensor_default_164); dequantize_per_tensor_default_11 = dequantize_per_tensor_default_164 = None 2024-06-26T05:16:36.8961431Z quantize_per_tensor_default_12 = torch.ops.quantized_decomposed.quantize_per_tensor.default(mul, 0.014888710342347622, -128, -128, 127, torch.int8); mul = None 2024-06-26T05:16:36.8965515Z dequantize_per_tensor_default_12 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_12, 0.014888710342347622, -128, -128, 127, torch.int8); quantize_per_tensor_default_12 = None 2024-06-26T05:16:36.8968071Z _frozen_param4 = self._frozen_param4 2024-06-26T05:16:36.8970538Z dequantize_per_tensor_default_13 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param4, 0.0519644133746624, 0, -127, 127, torch.int8); _frozen_param4 = None 2024-06-26T05:16:36.8973014Z features_1_block_2_0_weight_bias = self.features_1_block_2_0_weight_bias 2024-06-26T05:16:36.8976221Z conv2d_4 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_12, dequantize_per_tensor_default_13, features_1_block_2_0_weight_bias); dequantize_per_tensor_default_12 = dequantize_per_tensor_default_13 = features_1_block_2_0_weight_bias = None 2024-06-26T05:16:36.8980684Z quantize_per_tensor_default_14 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_4, 0.09257742017507553, -8, -128, 127, torch.int8); conv2d_4 = None 2024-06-26T05:16:36.8984785Z dequantize_per_tensor_default_14 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_14, 0.09257742017507553, -8, -128, 127, torch.int8); quantize_per_tensor_default_14 = None 2024-06-26T05:16:36.8987284Z _frozen_param5 = self._frozen_param5 2024-06-26T05:16:36.8989875Z dequantize_per_tensor_default_15 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param5, 0.007365490775555372, 0, -127, 127, torch.int8); _frozen_param5 = None 2024-06-26T05:16:36.8992377Z features_2_block_0_0_weight_bias = self.features_2_block_0_0_weight_bias 2024-06-26T05:16:36.8995659Z conv2d_5 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_14, dequantize_per_tensor_default_15, features_2_block_0_0_weight_bias); dequantize_per_tensor_default_14 = dequantize_per_tensor_default_15 = features_2_block_0_0_weight_bias = None 2024-06-26T05:16:36.8998889Z relu__1 = torch.ops.aten.relu_.default(conv2d_5); conv2d_5 = None 2024-06-26T05:16:36.9001446Z quantize_per_tensor_default_16 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu__1, 0.0373108796775341, -128, -128, 127, torch.int8); relu__1 = None 2024-06-26T05:16:36.9005133Z dequantize_per_tensor_default_16 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_16, 0.0373108796775341, -128, -128, 127, torch.int8); quantize_per_tensor_default_16 = None 2024-06-26T05:16:36.9007605Z _frozen_param6 = self._frozen_param6 2024-06-26T05:16:36.9010019Z dequantize_per_tensor_default_17 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param6, 0.10758370906114578, 0, -127, 127, torch.int8); _frozen_param6 = None 2024-06-26T05:16:36.9012538Z features_2_block_1_0_weight_bias = self.features_2_block_1_0_weight_bias 2024-06-26T05:16:36.9016006Z conv2d_6 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_16, dequantize_per_tensor_default_17, features_2_block_1_0_weight_bias, [2, 2], [1, 1], [1, 1], 72); dequantize_per_tensor_default_16 = dequantize_per_tensor_default_17 = features_2_block_1_0_weight_bias = None 2024-06-26T05:16:36.9019259Z relu__2 = torch.ops.aten.relu_.default(conv2d_6); conv2d_6 = None 2024-06-26T05:16:36.9021905Z quantize_per_tensor_default_18 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu__2, 0.03357680141925812, -128, -128, 127, torch.int8); relu__2 = None 2024-06-26T05:16:36.9025995Z dequantize_per_tensor_default_18 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_18, 0.03357680141925812, -128, -128, 127, torch.int8); quantize_per_tensor_default_18 = None 2024-06-26T05:16:36.9028539Z _frozen_param7 = self._frozen_param7 2024-06-26T05:16:36.9031123Z dequantize_per_tensor_default_19 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param7, 0.014249389991164207, 0, -127, 127, torch.int8); _frozen_param7 = None 2024-06-26T05:16:36.9033622Z features_2_block_2_0_weight_bias = self.features_2_block_2_0_weight_bias 2024-06-26T05:16:36.9036819Z conv2d_7 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_18, dequantize_per_tensor_default_19, features_2_block_2_0_weight_bias); dequantize_per_tensor_default_18 = dequantize_per_tensor_default_19 = features_2_block_2_0_weight_bias = None 2024-06-26T05:16:36.9041328Z quantize_per_tensor_default_20 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_7, 0.06221385300159454, 45, -128, 127, torch.int8); conv2d_7 = None 2024-06-26T05:16:36.9045024Z dequantize_per_tensor_default_166 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_20, 0.06221385300159454, 45, -128, 127, torch.int8) 2024-06-26T05:16:36.9049234Z dequantize_per_tensor_default_165 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_20, 0.06221385300159454, 45, -128, 127, torch.int8); quantize_per_tensor_default_20 = None 2024-06-26T05:16:36.9051753Z _frozen_param8 = self._frozen_param8 2024-06-26T05:16:36.9054228Z dequantize_per_tensor_default_21 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param8, 0.00496926112100482, 0, -127, 127, torch.int8); _frozen_param8 = None 2024-06-26T05:16:36.9056827Z features_3_block_0_0_weight_bias = self.features_3_block_0_0_weight_bias 2024-06-26T05:16:36.9060093Z conv2d_8 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_165, dequantize_per_tensor_default_21, features_3_block_0_0_weight_bias); dequantize_per_tensor_default_165 = dequantize_per_tensor_default_21 = features_3_block_0_0_weight_bias = None 2024-06-26T05:16:36.9063318Z relu__3 = torch.ops.aten.relu_.default(conv2d_8); conv2d_8 = None 2024-06-26T05:16:36.9065887Z quantize_per_tensor_default_22 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu__3, 0.01478066947311163, -128, -128, 127, torch.int8); relu__3 = None 2024-06-26T05:16:36.9069971Z dequantize_per_tensor_default_22 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_22, 0.01478066947311163, -128, -128, 127, torch.int8); quantize_per_tensor_default_22 = None 2024-06-26T05:16:36.9072496Z _frozen_param9 = self._frozen_param9 2024-06-26T05:16:36.9074946Z dequantize_per_tensor_default_23 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param9, 0.08777822554111481, 0, -127, 127, torch.int8); _frozen_param9 = None 2024-06-26T05:16:36.9077970Z features_3_block_1_0_weight_bias = self.features_3_block_1_0_weight_bias 2024-06-26T05:16:36.9081297Z conv2d_9 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_22, dequantize_per_tensor_default_23, features_3_block_1_0_weight_bias, [1, 1], [1, 1], [1, 1], 88); dequantize_per_tensor_default_22 = dequantize_per_tensor_default_23 = features_3_block_1_0_weight_bias = None 2024-06-26T05:16:36.9084637Z relu__4 = torch.ops.aten.relu_.default(conv2d_9); conv2d_9 = None 2024-06-26T05:16:36.9087184Z quantize_per_tensor_default_24 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu__4, 0.016218874603509903, -128, -128, 127, torch.int8); relu__4 = None 2024-06-26T05:16:36.9091288Z dequantize_per_tensor_default_24 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_24, 0.016218874603509903, -128, -128, 127, torch.int8); quantize_per_tensor_default_24 = None 2024-06-26T05:16:36.9093819Z _frozen_param10 = self._frozen_param10 2024-06-26T05:16:36.9096327Z dequantize_per_tensor_default_25 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param10, 0.018993781879544258, 0, -127, 127, torch.int8); _frozen_param10 = None 2024-06-26T05:16:36.9098893Z features_3_block_2_0_weight_bias = self.features_3_block_2_0_weight_bias 2024-06-26T05:16:36.9102157Z conv2d_10 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_24, dequantize_per_tensor_default_25, features_3_block_2_0_weight_bias); dequantize_per_tensor_default_24 = dequantize_per_tensor_default_25 = features_3_block_2_0_weight_bias = None 2024-06-26T05:16:36.9106589Z quantize_per_tensor_default_26 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_10, 0.054124411195516586, -20, -128, 127, torch.int8); conv2d_10 = None 2024-06-26T05:16:36.9110697Z dequantize_per_tensor_default_26 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_26, 0.054124411195516586, -20, -128, 127, torch.int8); quantize_per_tensor_default_26 = None 2024-06-26T05:16:36.9114536Z add_ = torch.ops.aten.add_.Tensor(dequantize_per_tensor_default_26, dequantize_per_tensor_default_166); dequantize_per_tensor_default_26 = dequantize_per_tensor_default_166 = None 2024-06-26T05:16:36.9118225Z quantize_per_tensor_default_27 = torch.ops.quantized_decomposed.quantize_per_tensor.default(add_, 0.08242182433605194, 11, -128, 127, torch.int8); add_ = None 2024-06-26T05:16:36.9122215Z dequantize_per_tensor_default_27 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_27, 0.08242182433605194, 11, -128, 127, torch.int8); quantize_per_tensor_default_27 = None 2024-06-26T05:16:36.9124737Z _frozen_param11 = self._frozen_param11 2024-06-26T05:16:36.9127315Z dequantize_per_tensor_default_28 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param11, 0.01391826756298542, 0, -127, 127, torch.int8); _frozen_param11 = None 2024-06-26T05:16:36.9129781Z features_4_block_0_0_weight_bias = self.features_4_block_0_0_weight_bias 2024-06-26T05:16:36.9132947Z conv2d_11 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_27, dequantize_per_tensor_default_28, features_4_block_0_0_weight_bias); dequantize_per_tensor_default_27 = dequantize_per_tensor_default_28 = features_4_block_0_0_weight_bias = None 2024-06-26T05:16:36.9137390Z quantize_per_tensor_default_29 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_11, 0.06612107902765274, 8, -128, 127, torch.int8); conv2d_11 = None 2024-06-26T05:16:36.9141531Z dequantize_per_tensor_default_29 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_29, 0.06612107902765274, 8, -128, 127, torch.int8); quantize_per_tensor_default_29 = None 2024-06-26T05:16:36.9144864Z hardswish__1 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_29); dequantize_per_tensor_default_29 = None 2024-06-26T05:16:36.9148144Z quantize_per_tensor_default_30 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__1, 0.032392363995313644, -116, -128, 127, torch.int8); hardswish__1 = None 2024-06-26T05:16:36.9152359Z dequantize_per_tensor_default_30 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_30, 0.032392363995313644, -116, -128, 127, torch.int8); quantize_per_tensor_default_30 = None 2024-06-26T05:16:36.9154997Z _frozen_param12 = self._frozen_param12 2024-06-26T05:16:36.9157487Z dequantize_per_tensor_default_31 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param12, 0.12695422768592834, 0, -127, 127, torch.int8); _frozen_param12 = None 2024-06-26T05:16:36.9160075Z features_4_block_1_0_weight_bias = self.features_4_block_1_0_weight_bias 2024-06-26T05:16:36.9163388Z conv2d_12 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_30, dequantize_per_tensor_default_31, features_4_block_1_0_weight_bias, [2, 2], [2, 2], [1, 1], 96); dequantize_per_tensor_default_30 = dequantize_per_tensor_default_31 = features_4_block_1_0_weight_bias = None 2024-06-26T05:16:36.9167909Z quantize_per_tensor_default_32 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_12, 0.04804250970482826, -12, -128, 127, torch.int8); conv2d_12 = None 2024-06-26T05:16:36.9172048Z dequantize_per_tensor_default_32 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_32, 0.04804250970482826, -12, -128, 127, torch.int8); quantize_per_tensor_default_32 = None 2024-06-26T05:16:36.9175428Z hardswish__2 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_32); dequantize_per_tensor_default_32 = None 2024-06-26T05:16:36.9178720Z quantize_per_tensor_default_33 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__2, 0.027695344761013985, -114, -128, 127, torch.int8); hardswish__2 = None 2024-06-26T05:16:36.9182586Z dequantize_per_tensor_default_168 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_33, 0.027695344761013985, -114, -128, 127, torch.int8) 2024-06-26T05:16:36.9186805Z dequantize_per_tensor_default_167 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_33, 0.027695344761013985, -114, -128, 127, torch.int8); quantize_per_tensor_default_33 = None 2024-06-26T05:16:36.9190460Z adaptive_avg_pool2d_1 = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_167, [1, 1]); dequantize_per_tensor_default_167 = None 2024-06-26T05:16:36.9194184Z quantize_per_tensor_default_34 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d_1, 0.027695344761013985, -114, -128, 127, torch.int8); adaptive_avg_pool2d_1 = None 2024-06-26T05:16:36.9198758Z dequantize_per_tensor_default_34 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_34, 0.027695344761013985, -114, -128, 127, torch.int8); quantize_per_tensor_default_34 = None 2024-06-26T05:16:36.9201306Z _frozen_param13 = self._frozen_param13 2024-06-26T05:16:36.9203807Z dequantize_per_tensor_default_35 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param13, 0.023241082206368446, 0, -127, 127, torch.int8); _frozen_param13 = None 2024-06-26T05:16:36.9206194Z _param_constant38 = self.features_4_block_2_fc1_bias 2024-06-26T05:16:36.9208917Z conv2d_13 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_34, dequantize_per_tensor_default_35, _param_constant38); dequantize_per_tensor_default_34 = dequantize_per_tensor_default_35 = _param_constant38 = None 2024-06-26T05:16:36.9211787Z relu_1 = torch.ops.aten.relu.default(conv2d_13); conv2d_13 = None 2024-06-26T05:16:36.9214194Z quantize_per_tensor_default_36 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu_1, 0.000244140625, -128, -128, 127, torch.int8); relu_1 = None 2024-06-26T05:16:36.9218159Z dequantize_per_tensor_default_36 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_36, 0.000244140625, -128, -128, 127, torch.int8); quantize_per_tensor_default_36 = None 2024-06-26T05:16:36.9220700Z _frozen_param14 = self._frozen_param14 2024-06-26T05:16:36.9223200Z dequantize_per_tensor_default_37 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param14, 0.009259029291570187, 0, -127, 127, torch.int8); _frozen_param14 = None 2024-06-26T05:16:36.9225626Z _param_constant40 = self.features_4_block_2_fc2_bias 2024-06-26T05:16:36.9228279Z conv2d_14 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_36, dequantize_per_tensor_default_37, _param_constant40); dequantize_per_tensor_default_36 = dequantize_per_tensor_default_37 = _param_constant40 = None 2024-06-26T05:16:36.9232408Z quantize_per_tensor_default_38 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_14, 0.012354371137917042, 25, -128, 127, torch.int8); conv2d_14 = None 2024-06-26T05:16:36.9236496Z dequantize_per_tensor_default_38 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_38, 0.012354371137917042, 25, -128, 127, torch.int8); quantize_per_tensor_default_38 = None 2024-06-26T05:16:36.9240113Z hardsigmoid_1 = torch.ops.aten.hardsigmoid.default(dequantize_per_tensor_default_38); dequantize_per_tensor_default_38 = None 2024-06-26T05:16:36.9243501Z quantize_per_tensor_default_39 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardsigmoid_1, 0.0027818952221423388, -128, -128, 127, torch.int8); hardsigmoid_1 = None 2024-06-26T05:16:36.9247764Z dequantize_per_tensor_default_39 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_39, 0.0027818952221423388, -128, -128, 127, torch.int8); quantize_per_tensor_default_39 = None 2024-06-26T05:16:36.9251675Z mul_1 = torch.ops.aten.mul.Tensor(dequantize_per_tensor_default_39, dequantize_per_tensor_default_168); dequantize_per_tensor_default_39 = dequantize_per_tensor_default_168 = None 2024-06-26T05:16:36.9255253Z quantize_per_tensor_default_40 = torch.ops.quantized_decomposed.quantize_per_tensor.default(mul_1, 0.015911469236016273, -114, -128, 127, torch.int8); mul_1 = None 2024-06-26T05:16:36.9259695Z dequantize_per_tensor_default_40 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_40, 0.015911469236016273, -114, -128, 127, torch.int8); quantize_per_tensor_default_40 = None 2024-06-26T05:16:36.9262192Z _frozen_param15 = self._frozen_param15 2024-06-26T05:16:36.9264731Z dequantize_per_tensor_default_41 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param15, 0.009915303438901901, 0, -127, 127, torch.int8); _frozen_param15 = None 2024-06-26T05:16:36.9267373Z features_4_block_3_0_weight_bias = self.features_4_block_3_0_weight_bias 2024-06-26T05:16:36.9270636Z conv2d_15 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_40, dequantize_per_tensor_default_41, features_4_block_3_0_weight_bias); dequantize_per_tensor_default_40 = dequantize_per_tensor_default_41 = features_4_block_3_0_weight_bias = None 2024-06-26T05:16:36.9275130Z quantize_per_tensor_default_42 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_15, 0.023397967219352722, 2, -128, 127, torch.int8); conv2d_15 = None 2024-06-26T05:16:36.9278965Z dequantize_per_tensor_default_170 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_42, 0.023397967219352722, 2, -128, 127, torch.int8) 2024-06-26T05:16:36.9283198Z dequantize_per_tensor_default_169 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_42, 0.023397967219352722, 2, -128, 127, torch.int8); quantize_per_tensor_default_42 = None 2024-06-26T05:16:36.9285750Z _frozen_param16 = self._frozen_param16 2024-06-26T05:16:36.9288287Z dequantize_per_tensor_default_43 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param16, 0.009469963610172272, 0, -127, 127, torch.int8); _frozen_param16 = None 2024-06-26T05:16:36.9290844Z features_5_block_0_0_weight_bias = self.features_5_block_0_0_weight_bias 2024-06-26T05:16:36.9294075Z conv2d_16 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_169, dequantize_per_tensor_default_43, features_5_block_0_0_weight_bias); dequantize_per_tensor_default_169 = dequantize_per_tensor_default_43 = features_5_block_0_0_weight_bias = None 2024-06-26T05:16:36.9298647Z quantize_per_tensor_default_44 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_16, 0.030264077708125114, 53, -128, 127, torch.int8); conv2d_16 = None 2024-06-26T05:16:36.9302854Z dequantize_per_tensor_default_44 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_44, 0.030264077708125114, 53, -128, 127, torch.int8); quantize_per_tensor_default_44 = None 2024-06-26T05:16:36.9306255Z hardswish__3 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_44); dequantize_per_tensor_default_44 = None 2024-06-26T05:16:36.9309464Z quantize_per_tensor_default_45 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__3, 0.010615072213113308, -93, -128, 127, torch.int8); hardswish__3 = None 2024-06-26T05:16:36.9313770Z dequantize_per_tensor_default_45 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_45, 0.010615072213113308, -93, -128, 127, torch.int8); quantize_per_tensor_default_45 = None 2024-06-26T05:16:36.9316357Z _frozen_param17 = self._frozen_param17 2024-06-26T05:16:36.9319003Z dequantize_per_tensor_default_46 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param17, 0.29110556840896606, 0, -127, 127, torch.int8); _frozen_param17 = None 2024-06-26T05:16:36.9321514Z features_5_block_1_0_weight_bias = self.features_5_block_1_0_weight_bias 2024-06-26T05:16:36.9324789Z conv2d_17 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_45, dequantize_per_tensor_default_46, features_5_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 240); dequantize_per_tensor_default_45 = dequantize_per_tensor_default_46 = features_5_block_1_0_weight_bias = None 2024-06-26T05:16:36.9329346Z quantize_per_tensor_default_47 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_17, 0.04241267591714859, -9, -128, 127, torch.int8); conv2d_17 = None 2024-06-26T05:16:36.9333383Z dequantize_per_tensor_default_47 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_47, 0.04241267591714859, -9, -128, 127, torch.int8); quantize_per_tensor_default_47 = None 2024-06-26T05:16:36.9336744Z hardswish__4 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_47); dequantize_per_tensor_default_47 = None 2024-06-26T05:16:36.9340225Z quantize_per_tensor_default_48 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__4, 0.024311522021889687, -113, -128, 127, torch.int8); hardswish__4 = None 2024-06-26T05:16:36.9344038Z dequantize_per_tensor_default_172 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_48, 0.024311522021889687, -113, -128, 127, torch.int8) 2024-06-26T05:16:36.9348360Z dequantize_per_tensor_default_171 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_48, 0.024311522021889687, -113, -128, 127, torch.int8); quantize_per_tensor_default_48 = None 2024-06-26T05:16:36.9351474Z adaptive_avg_pool2d_2 = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_171, [1, 1]); dequantize_per_tensor_default_171 = None 2024-06-26T05:16:36.9354525Z quantize_per_tensor_default_49 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d_2, 0.024311522021889687, -113, -128, 127, torch.int8); adaptive_avg_pool2d_2 = None 2024-06-26T05:16:36.9358443Z dequantize_per_tensor_default_49 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_49, 0.024311522021889687, -113, -128, 127, torch.int8); quantize_per_tensor_default_49 = None 2024-06-26T05:16:36.9360638Z _frozen_param18 = self._frozen_param18 2024-06-26T05:16:36.9363173Z dequantize_per_tensor_default_50 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param18, 0.02302936650812626, 0, -127, 127, torch.int8); _frozen_param18 = None 2024-06-26T05:16:36.9365623Z _param_constant51 = self.features_5_block_2_fc1_bias 2024-06-26T05:16:36.9368317Z conv2d_18 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_49, dequantize_per_tensor_default_50, _param_constant51); dequantize_per_tensor_default_49 = dequantize_per_tensor_default_50 = _param_constant51 = None 2024-06-26T05:16:36.9371171Z relu_2 = torch.ops.aten.relu.default(conv2d_18); conv2d_18 = None 2024-06-26T05:16:36.9373718Z quantize_per_tensor_default_51 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu_2, 0.015174000523984432, -128, -128, 127, torch.int8); relu_2 = None 2024-06-26T05:16:36.9377745Z dequantize_per_tensor_default_51 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_51, 0.015174000523984432, -128, -128, 127, torch.int8); quantize_per_tensor_default_51 = None 2024-06-26T05:16:36.9380471Z _frozen_param19 = self._frozen_param19 2024-06-26T05:16:36.9382982Z dequantize_per_tensor_default_52 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param19, 0.024587249383330345, 0, -127, 127, torch.int8); _frozen_param19 = None 2024-06-26T05:16:36.9385307Z _param_constant53 = self.features_5_block_2_fc2_bias 2024-06-26T05:16:36.9388021Z conv2d_19 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_51, dequantize_per_tensor_default_52, _param_constant53); dequantize_per_tensor_default_51 = dequantize_per_tensor_default_52 = _param_constant53 = None 2024-06-26T05:16:36.9392061Z quantize_per_tensor_default_53 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_19, 0.03577641397714615, 21, -128, 127, torch.int8); conv2d_19 = None 2024-06-26T05:16:36.9396122Z dequantize_per_tensor_default_53 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_53, 0.03577641397714615, 21, -128, 127, torch.int8); quantize_per_tensor_default_53 = None 2024-06-26T05:16:36.9399401Z hardsigmoid_2 = torch.ops.aten.hardsigmoid.default(dequantize_per_tensor_default_53); dequantize_per_tensor_default_53 = None 2024-06-26T05:16:36.9402250Z quantize_per_tensor_default_54 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardsigmoid_2, 0.003919653594493866, -128, -128, 127, torch.int8); hardsigmoid_2 = None 2024-06-26T05:16:36.9406332Z dequantize_per_tensor_default_54 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_54, 0.003919653594493866, -128, -128, 127, torch.int8); quantize_per_tensor_default_54 = None 2024-06-26T05:16:36.9410191Z mul_2 = torch.ops.aten.mul.Tensor(dequantize_per_tensor_default_54, dequantize_per_tensor_default_172); dequantize_per_tensor_default_54 = dequantize_per_tensor_default_172 = None 2024-06-26T05:16:36.9413884Z quantize_per_tensor_default_55 = torch.ops.quantized_decomposed.quantize_per_tensor.default(mul_2, 0.004744516685605049, -49, -128, 127, torch.int8); mul_2 = None 2024-06-26T05:16:36.9417902Z dequantize_per_tensor_default_55 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_55, 0.004744516685605049, -49, -128, 127, torch.int8); quantize_per_tensor_default_55 = None 2024-06-26T05:16:36.9420506Z _frozen_param20 = self._frozen_param20 2024-06-26T05:16:36.9422999Z dequantize_per_tensor_default_56 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param20, 0.03421241044998169, 0, -127, 127, torch.int8); _frozen_param20 = None 2024-06-26T05:16:36.9425073Z features_5_block_3_0_weight_bias = self.features_5_block_3_0_weight_bias 2024-06-26T05:16:36.9427504Z conv2d_20 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_55, dequantize_per_tensor_default_56, features_5_block_3_0_weight_bias); dequantize_per_tensor_default_55 = dequantize_per_tensor_default_56 = features_5_block_3_0_weight_bias = None 2024-06-26T05:16:36.9431383Z quantize_per_tensor_default_57 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_20, 0.02010633796453476, -34, -128, 127, torch.int8); conv2d_20 = None 2024-06-26T05:16:36.9434573Z dequantize_per_tensor_default_57 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_57, 0.02010633796453476, -34, -128, 127, torch.int8); quantize_per_tensor_default_57 = None 2024-06-26T05:16:36.9437772Z add__1 = torch.ops.aten.add_.Tensor(dequantize_per_tensor_default_57, dequantize_per_tensor_default_170); dequantize_per_tensor_default_57 = dequantize_per_tensor_default_170 = None 2024-06-26T05:16:36.9441195Z quantize_per_tensor_default_58 = torch.ops.quantized_decomposed.quantize_per_tensor.default(add__1, 0.03142682462930679, -18, -128, 127, torch.int8); add__1 = None 2024-06-26T05:16:36.9444389Z dequantize_per_tensor_default_174 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_58, 0.03142682462930679, -18, -128, 127, torch.int8) 2024-06-26T05:16:36.9447919Z dequantize_per_tensor_default_173 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_58, 0.03142682462930679, -18, -128, 127, torch.int8); quantize_per_tensor_default_58 = None 2024-06-26T05:16:36.9450140Z _frozen_param21 = self._frozen_param21 2024-06-26T05:16:36.9452388Z dequantize_per_tensor_default_59 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param21, 0.004709577653557062, 0, -127, 127, torch.int8); _frozen_param21 = None 2024-06-26T05:16:36.9454660Z features_6_block_0_0_weight_bias = self.features_6_block_0_0_weight_bias 2024-06-26T05:16:36.9457422Z conv2d_21 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_173, dequantize_per_tensor_default_59, features_6_block_0_0_weight_bias); dequantize_per_tensor_default_173 = dequantize_per_tensor_default_59 = features_6_block_0_0_weight_bias = None 2024-06-26T05:16:36.9461620Z quantize_per_tensor_default_60 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_21, 0.024533459916710854, 50, -128, 127, torch.int8); conv2d_21 = None 2024-06-26T05:16:36.9465645Z dequantize_per_tensor_default_60 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_60, 0.024533459916710854, 50, -128, 127, torch.int8); quantize_per_tensor_default_60 = None 2024-06-26T05:16:36.9468842Z hardswish__5 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_60); dequantize_per_tensor_default_60 = None 2024-06-26T05:16:36.9471737Z quantize_per_tensor_default_61 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__5, 0.008677337318658829, -85, -128, 127, torch.int8); hardswish__5 = None 2024-06-26T05:16:36.9475658Z dequantize_per_tensor_default_61 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_61, 0.008677337318658829, -85, -128, 127, torch.int8); quantize_per_tensor_default_61 = None 2024-06-26T05:16:36.9478265Z _frozen_param22 = self._frozen_param22 2024-06-26T05:16:36.9480594Z dequantize_per_tensor_default_62 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param22, 0.22559306025505066, 0, -127, 127, torch.int8); _frozen_param22 = None 2024-06-26T05:16:36.9483025Z features_6_block_1_0_weight_bias = self.features_6_block_1_0_weight_bias 2024-06-26T05:16:36.9486333Z conv2d_22 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_61, dequantize_per_tensor_default_62, features_6_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 240); dequantize_per_tensor_default_61 = dequantize_per_tensor_default_62 = features_6_block_1_0_weight_bias = None 2024-06-26T05:16:36.9490746Z quantize_per_tensor_default_63 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_22, 0.048910126090049744, 0, -128, 127, torch.int8); conv2d_22 = None 2024-06-26T05:16:36.9494726Z dequantize_per_tensor_default_63 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_63, 0.048910126090049744, 0, -128, 127, torch.int8); quantize_per_tensor_default_63 = None 2024-06-26T05:16:36.9498057Z hardswish__6 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_63); dequantize_per_tensor_default_63 = None 2024-06-26T05:16:36.9501381Z quantize_per_tensor_default_64 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__6, 0.025781380012631416, -113, -128, 127, torch.int8); hardswish__6 = None 2024-06-26T05:16:36.9505103Z dequantize_per_tensor_default_176 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_64, 0.025781380012631416, -113, -128, 127, torch.int8) 2024-06-26T05:16:36.9509253Z dequantize_per_tensor_default_175 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_64, 0.025781380012631416, -113, -128, 127, torch.int8); quantize_per_tensor_default_64 = None 2024-06-26T05:16:36.9512955Z adaptive_avg_pool2d_3 = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_175, [1, 1]); dequantize_per_tensor_default_175 = None 2024-06-26T05:16:36.9516640Z quantize_per_tensor_default_65 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d_3, 0.025781380012631416, -113, -128, 127, torch.int8); adaptive_avg_pool2d_3 = None 2024-06-26T05:16:36.9521028Z dequantize_per_tensor_default_65 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_65, 0.025781380012631416, -113, -128, 127, torch.int8); quantize_per_tensor_default_65 = None 2024-06-26T05:16:36.9523532Z _frozen_param23 = self._frozen_param23 2024-06-26T05:16:36.9526020Z dequantize_per_tensor_default_66 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param23, 0.013339489698410034, 0, -127, 127, torch.int8); _frozen_param23 = None 2024-06-26T05:16:36.9528323Z _param_constant64 = self.features_6_block_2_fc1_bias 2024-06-26T05:16:36.9530983Z conv2d_23 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_65, dequantize_per_tensor_default_66, _param_constant64); dequantize_per_tensor_default_65 = dequantize_per_tensor_default_66 = _param_constant64 = None 2024-06-26T05:16:36.9533787Z relu_3 = torch.ops.aten.relu.default(conv2d_23); conv2d_23 = None 2024-06-26T05:16:36.9536325Z quantize_per_tensor_default_67 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu_3, 0.007699207402765751, -128, -128, 127, torch.int8); relu_3 = None 2024-06-26T05:16:36.9540558Z dequantize_per_tensor_default_67 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_67, 0.007699207402765751, -128, -128, 127, torch.int8); quantize_per_tensor_default_67 = None 2024-06-26T05:16:36.9543043Z _frozen_param24 = self._frozen_param24 2024-06-26T05:16:36.9545655Z dequantize_per_tensor_default_68 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param24, 0.020886452868580818, 0, -127, 127, torch.int8); _frozen_param24 = None 2024-06-26T05:16:36.9547951Z _param_constant66 = self.features_6_block_2_fc2_bias 2024-06-26T05:16:36.9550618Z conv2d_24 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_67, dequantize_per_tensor_default_68, _param_constant66); dequantize_per_tensor_default_67 = dequantize_per_tensor_default_68 = _param_constant66 = None 2024-06-26T05:16:36.9554678Z quantize_per_tensor_default_69 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_24, 0.023070767521858215, 17, -128, 127, torch.int8); conv2d_24 = None 2024-06-26T05:16:36.9558834Z dequantize_per_tensor_default_69 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_69, 0.023070767521858215, 17, -128, 127, torch.int8); quantize_per_tensor_default_69 = None 2024-06-26T05:16:36.9562194Z hardsigmoid_3 = torch.ops.aten.hardsigmoid.default(dequantize_per_tensor_default_69); dequantize_per_tensor_default_69 = None 2024-06-26T05:16:36.9565506Z quantize_per_tensor_default_70 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardsigmoid_3, 0.00362548790872097, -128, -128, 127, torch.int8); hardsigmoid_3 = None 2024-06-26T05:16:36.9569776Z dequantize_per_tensor_default_70 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_70, 0.00362548790872097, -128, -128, 127, torch.int8); quantize_per_tensor_default_70 = None 2024-06-26T05:16:36.9573569Z mul_3 = torch.ops.aten.mul.Tensor(dequantize_per_tensor_default_70, dequantize_per_tensor_default_176); dequantize_per_tensor_default_70 = dequantize_per_tensor_default_176 = None 2024-06-26T05:16:36.9577116Z quantize_per_tensor_default_71 = torch.ops.quantized_decomposed.quantize_per_tensor.default(mul_3, 0.006186653394252062, -75, -128, 127, torch.int8); mul_3 = None 2024-06-26T05:16:36.9581291Z dequantize_per_tensor_default_71 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_71, 0.006186653394252062, -75, -128, 127, torch.int8); quantize_per_tensor_default_71 = None 2024-06-26T05:16:36.9583800Z _frozen_param25 = self._frozen_param25 2024-06-26T05:16:36.9586261Z dequantize_per_tensor_default_72 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param25, 0.03715989366173744, 0, -127, 127, torch.int8); _frozen_param25 = None 2024-06-26T05:16:36.9588746Z features_6_block_3_0_weight_bias = self.features_6_block_3_0_weight_bias 2024-06-26T05:16:36.9591868Z conv2d_25 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_71, dequantize_per_tensor_default_72, features_6_block_3_0_weight_bias); dequantize_per_tensor_default_71 = dequantize_per_tensor_default_72 = features_6_block_3_0_weight_bias = None 2024-06-26T05:16:36.9596215Z quantize_per_tensor_default_73 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_25, 0.04069148376584053, -26, -128, 127, torch.int8); conv2d_25 = None 2024-06-26T05:16:36.9600331Z dequantize_per_tensor_default_73 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_73, 0.04069148376584053, -26, -128, 127, torch.int8); quantize_per_tensor_default_73 = None 2024-06-26T05:16:36.9604136Z add__2 = torch.ops.aten.add_.Tensor(dequantize_per_tensor_default_73, dequantize_per_tensor_default_174); dequantize_per_tensor_default_73 = dequantize_per_tensor_default_174 = None 2024-06-26T05:16:36.9607849Z quantize_per_tensor_default_74 = torch.ops.quantized_decomposed.quantize_per_tensor.default(add__2, 0.04122285544872284, -28, -128, 127, torch.int8); add__2 = None 2024-06-26T05:16:36.9611839Z dequantize_per_tensor_default_74 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_74, 0.04122285544872284, -28, -128, 127, torch.int8); quantize_per_tensor_default_74 = None 2024-06-26T05:16:36.9614412Z _frozen_param26 = self._frozen_param26 2024-06-26T05:16:36.9616887Z dequantize_per_tensor_default_75 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param26, 0.008141666650772095, 0, -127, 127, torch.int8); _frozen_param26 = None 2024-06-26T05:16:36.9619371Z features_7_block_0_0_weight_bias = self.features_7_block_0_0_weight_bias 2024-06-26T05:16:36.9622542Z conv2d_26 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_74, dequantize_per_tensor_default_75, features_7_block_0_0_weight_bias); dequantize_per_tensor_default_74 = dequantize_per_tensor_default_75 = features_7_block_0_0_weight_bias = None 2024-06-26T05:16:36.9626637Z quantize_per_tensor_default_76 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_26, 0.04015304520726204, -9, -128, 127, torch.int8); conv2d_26 = None 2024-06-26T05:16:36.9630536Z dequantize_per_tensor_default_76 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_76, 0.04015304520726204, -9, -128, 127, torch.int8); quantize_per_tensor_default_76 = None 2024-06-26T05:16:36.9633686Z hardswish__7 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_76); dequantize_per_tensor_default_76 = None 2024-06-26T05:16:36.9636835Z quantize_per_tensor_default_77 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__7, 0.02341550402343273, -112, -128, 127, torch.int8); hardswish__7 = None 2024-06-26T05:16:36.9640887Z dequantize_per_tensor_default_77 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_77, 0.02341550402343273, -112, -128, 127, torch.int8); quantize_per_tensor_default_77 = None 2024-06-26T05:16:36.9643303Z _frozen_param27 = self._frozen_param27 2024-06-26T05:16:36.9645619Z dequantize_per_tensor_default_78 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param27, 0.24098145961761475, 0, -127, 127, torch.int8); _frozen_param27 = None 2024-06-26T05:16:36.9647982Z features_7_block_1_0_weight_bias = self.features_7_block_1_0_weight_bias 2024-06-26T05:16:36.9651242Z conv2d_27 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_77, dequantize_per_tensor_default_78, features_7_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 120); dequantize_per_tensor_default_77 = dequantize_per_tensor_default_78 = features_7_block_1_0_weight_bias = None 2024-06-26T05:16:36.9655619Z quantize_per_tensor_default_79 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_27, 0.0408136323094368, -26, -128, 127, torch.int8); conv2d_27 = None 2024-06-26T05:16:36.9659494Z dequantize_per_tensor_default_79 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_79, 0.0408136323094368, -26, -128, 127, torch.int8); quantize_per_tensor_default_79 = None 2024-06-26T05:16:36.9662782Z hardswish__8 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_79); dequantize_per_tensor_default_79 = None 2024-06-26T05:16:36.9665994Z quantize_per_tensor_default_80 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__8, 0.02829105406999588, -115, -128, 127, torch.int8); hardswish__8 = None 2024-06-26T05:16:36.9669733Z dequantize_per_tensor_default_178 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_80, 0.02829105406999588, -115, -128, 127, torch.int8) 2024-06-26T05:16:36.9673744Z dequantize_per_tensor_default_177 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_80, 0.02829105406999588, -115, -128, 127, torch.int8); quantize_per_tensor_default_80 = None 2024-06-26T05:16:36.9677378Z adaptive_avg_pool2d_4 = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_177, [1, 1]); dequantize_per_tensor_default_177 = None 2024-06-26T05:16:36.9681069Z quantize_per_tensor_default_81 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d_4, 0.02829105406999588, -115, -128, 127, torch.int8); adaptive_avg_pool2d_4 = None 2024-06-26T05:16:36.9685392Z dequantize_per_tensor_default_81 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_81, 0.02829105406999588, -115, -128, 127, torch.int8); quantize_per_tensor_default_81 = None 2024-06-26T05:16:36.9687830Z _frozen_param28 = self._frozen_param28 2024-06-26T05:16:36.9690232Z dequantize_per_tensor_default_82 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param28, 0.02133479155600071, 0, -127, 127, torch.int8); _frozen_param28 = None 2024-06-26T05:16:36.9692470Z _param_constant77 = self.features_7_block_2_fc1_bias 2024-06-26T05:16:36.9695031Z conv2d_28 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_81, dequantize_per_tensor_default_82, _param_constant77); dequantize_per_tensor_default_81 = dequantize_per_tensor_default_82 = _param_constant77 = None 2024-06-26T05:16:36.9697751Z relu_4 = torch.ops.aten.relu.default(conv2d_28); conv2d_28 = None 2024-06-26T05:16:36.9700310Z quantize_per_tensor_default_83 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu_4, 0.023547444492578506, -128, -128, 127, torch.int8); relu_4 = None 2024-06-26T05:16:36.9704384Z dequantize_per_tensor_default_83 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_83, 0.023547444492578506, -128, -128, 127, torch.int8); quantize_per_tensor_default_83 = None 2024-06-26T05:16:36.9706788Z _frozen_param29 = self._frozen_param29 2024-06-26T05:16:36.9709178Z dequantize_per_tensor_default_84 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param29, 0.015290362760424614, 0, -127, 127, torch.int8); _frozen_param29 = None 2024-06-26T05:16:36.9711509Z _param_constant79 = self.features_7_block_2_fc2_bias 2024-06-26T05:16:36.9714225Z conv2d_29 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_83, dequantize_per_tensor_default_84, _param_constant79); dequantize_per_tensor_default_83 = dequantize_per_tensor_default_84 = _param_constant79 = None 2024-06-26T05:16:36.9718434Z quantize_per_tensor_default_85 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_29, 0.03005356155335903, 0, -128, 127, torch.int8); conv2d_29 = None 2024-06-26T05:16:36.9722350Z dequantize_per_tensor_default_85 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_85, 0.03005356155335903, 0, -128, 127, torch.int8); quantize_per_tensor_default_85 = None 2024-06-26T05:16:36.9725644Z hardsigmoid_4 = torch.ops.aten.hardsigmoid.default(dequantize_per_tensor_default_85); dequantize_per_tensor_default_85 = None 2024-06-26T05:16:36.9728884Z quantize_per_tensor_default_86 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardsigmoid_4, 0.003919653594493866, -128, -128, 127, torch.int8); hardsigmoid_4 = None 2024-06-26T05:16:36.9732964Z dequantize_per_tensor_default_86 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_86, 0.003919653594493866, -128, -128, 127, torch.int8); quantize_per_tensor_default_86 = None 2024-06-26T05:16:36.9736884Z mul_4 = torch.ops.aten.mul.Tensor(dequantize_per_tensor_default_86, dequantize_per_tensor_default_178); dequantize_per_tensor_default_86 = dequantize_per_tensor_default_178 = None 2024-06-26T05:16:36.9740465Z quantize_per_tensor_default_87 = torch.ops.quantized_decomposed.quantize_per_tensor.default(mul_4, 0.017186682671308517, -106, -128, 127, torch.int8); mul_4 = None 2024-06-26T05:16:36.9744534Z dequantize_per_tensor_default_87 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_87, 0.017186682671308517, -106, -128, 127, torch.int8); quantize_per_tensor_default_87 = None 2024-06-26T05:16:36.9747025Z _frozen_param30 = self._frozen_param30 2024-06-26T05:16:36.9749433Z dequantize_per_tensor_default_88 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param30, 0.0081296656280756, 0, -127, 127, torch.int8); _frozen_param30 = None 2024-06-26T05:16:36.9751985Z features_7_block_3_0_weight_bias = self.features_7_block_3_0_weight_bias 2024-06-26T05:16:36.9755020Z conv2d_30 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_87, dequantize_per_tensor_default_88, features_7_block_3_0_weight_bias); dequantize_per_tensor_default_87 = dequantize_per_tensor_default_88 = features_7_block_3_0_weight_bias = None 2024-06-26T05:16:36.9759416Z quantize_per_tensor_default_89 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_30, 0.025062335655093193, 8, -128, 127, torch.int8); conv2d_30 = None 2024-06-26T05:16:36.9762963Z dequantize_per_tensor_default_180 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_89, 0.025062335655093193, 8, -128, 127, torch.int8) 2024-06-26T05:16:36.9766929Z dequantize_per_tensor_default_179 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_89, 0.025062335655093193, 8, -128, 127, torch.int8); quantize_per_tensor_default_89 = None 2024-06-26T05:16:36.9769371Z _frozen_param31 = self._frozen_param31 2024-06-26T05:16:36.9771925Z dequantize_per_tensor_default_90 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param31, 0.004416964948177338, 0, -127, 127, torch.int8); _frozen_param31 = None 2024-06-26T05:16:36.9774306Z features_8_block_0_0_weight_bias = self.features_8_block_0_0_weight_bias 2024-06-26T05:16:36.9777362Z conv2d_31 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_179, dequantize_per_tensor_default_90, features_8_block_0_0_weight_bias); dequantize_per_tensor_default_179 = dequantize_per_tensor_default_90 = features_8_block_0_0_weight_bias = None 2024-06-26T05:16:36.9781718Z quantize_per_tensor_default_91 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_31, 0.028558459132909775, 6, -128, 127, torch.int8); conv2d_31 = None 2024-06-26T05:16:36.9785746Z dequantize_per_tensor_default_91 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_91, 0.028558459132909775, 6, -128, 127, torch.int8); quantize_per_tensor_default_91 = None 2024-06-26T05:16:36.9788485Z hardswish__9 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_91); dequantize_per_tensor_default_91 = None 2024-06-26T05:16:36.9791116Z quantize_per_tensor_default_92 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__9, 0.014968409202992916, -103, -128, 127, torch.int8); hardswish__9 = None 2024-06-26T05:16:36.9794703Z dequantize_per_tensor_default_92 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_92, 0.014968409202992916, -103, -128, 127, torch.int8); quantize_per_tensor_default_92 = None 2024-06-26T05:16:36.9796808Z _frozen_param32 = self._frozen_param32 2024-06-26T05:16:36.9799024Z dequantize_per_tensor_default_93 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param32, 0.16769732534885406, 0, -127, 127, torch.int8); _frozen_param32 = None 2024-06-26T05:16:36.9801142Z features_8_block_1_0_weight_bias = self.features_8_block_1_0_weight_bias 2024-06-26T05:16:36.9804255Z conv2d_32 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_92, dequantize_per_tensor_default_93, features_8_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 144); dequantize_per_tensor_default_92 = dequantize_per_tensor_default_93 = features_8_block_1_0_weight_bias = None 2024-06-26T05:16:36.9808740Z quantize_per_tensor_default_94 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_32, 0.05457872897386551, -46, -128, 127, torch.int8); conv2d_32 = None 2024-06-26T05:16:36.9812182Z dequantize_per_tensor_default_94 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_94, 0.05457872897386551, -46, -128, 127, torch.int8); quantize_per_tensor_default_94 = None 2024-06-26T05:16:36.9815401Z hardswish__10 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_94); dequantize_per_tensor_default_94 = None 2024-06-26T05:16:36.9818392Z quantize_per_tensor_default_95 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__10, 0.038513194769620895, -118, -128, 127, torch.int8); hardswish__10 = None 2024-06-26T05:16:36.9821868Z dequantize_per_tensor_default_182 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_95, 0.038513194769620895, -118, -128, 127, torch.int8) 2024-06-26T05:16:36.9825679Z dequantize_per_tensor_default_181 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_95, 0.038513194769620895, -118, -128, 127, torch.int8); quantize_per_tensor_default_95 = None 2024-06-26T05:16:36.9828673Z adaptive_avg_pool2d_5 = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_181, [1, 1]); dequantize_per_tensor_default_181 = None 2024-06-26T05:16:36.9832011Z quantize_per_tensor_default_96 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d_5, 0.038513194769620895, -118, -128, 127, torch.int8); adaptive_avg_pool2d_5 = None 2024-06-26T05:16:36.9836214Z dequantize_per_tensor_default_96 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_96, 0.038513194769620895, -118, -128, 127, torch.int8); quantize_per_tensor_default_96 = None 2024-06-26T05:16:36.9838847Z _frozen_param33 = self._frozen_param33 2024-06-26T05:16:36.9841224Z dequantize_per_tensor_default_97 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param33, 0.012662169523537159, 0, -127, 127, torch.int8); _frozen_param33 = None 2024-06-26T05:16:36.9843271Z _param_constant90 = self.features_8_block_2_fc1_bias 2024-06-26T05:16:36.9845735Z conv2d_33 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_96, dequantize_per_tensor_default_97, _param_constant90); dequantize_per_tensor_default_96 = dequantize_per_tensor_default_97 = _param_constant90 = None 2024-06-26T05:16:36.9848452Z relu_5 = torch.ops.aten.relu.default(conv2d_33); conv2d_33 = None 2024-06-26T05:16:36.9850855Z quantize_per_tensor_default_98 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu_5, 0.0068855322897434235, -128, -128, 127, torch.int8); relu_5 = None 2024-06-26T05:16:36.9854437Z dequantize_per_tensor_default_98 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_98, 0.0068855322897434235, -128, -128, 127, torch.int8); quantize_per_tensor_default_98 = None 2024-06-26T05:16:36.9856684Z _frozen_param34 = self._frozen_param34 2024-06-26T05:16:36.9858969Z dequantize_per_tensor_default_99 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param34, 0.010558309964835644, 0, -127, 127, torch.int8); _frozen_param34 = None 2024-06-26T05:16:36.9861267Z _param_constant92 = self.features_8_block_2_fc2_bias 2024-06-26T05:16:36.9863846Z conv2d_34 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_98, dequantize_per_tensor_default_99, _param_constant92); dequantize_per_tensor_default_98 = dequantize_per_tensor_default_99 = _param_constant92 = None 2024-06-26T05:16:36.9867888Z quantize_per_tensor_default_100 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_34, 0.02613234892487526, 2, -128, 127, torch.int8); conv2d_34 = None 2024-06-26T05:16:36.9871657Z dequantize_per_tensor_default_100 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_100, 0.02613234892487526, 2, -128, 127, torch.int8); quantize_per_tensor_default_100 = None 2024-06-26T05:16:36.9874952Z hardsigmoid_5 = torch.ops.aten.hardsigmoid.default(dequantize_per_tensor_default_100); dequantize_per_tensor_default_100 = None 2024-06-26T05:16:36.9878169Z quantize_per_tensor_default_101 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardsigmoid_5, 0.003919653594493866, -128, -128, 127, torch.int8); hardsigmoid_5 = None 2024-06-26T05:16:36.9882053Z dequantize_per_tensor_default_101 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_101, 0.003919653594493866, -128, -128, 127, torch.int8); quantize_per_tensor_default_101 = None 2024-06-26T05:16:36.9885850Z mul_5 = torch.ops.aten.mul.Tensor(dequantize_per_tensor_default_101, dequantize_per_tensor_default_182); dequantize_per_tensor_default_101 = dequantize_per_tensor_default_182 = None 2024-06-26T05:16:36.9889317Z quantize_per_tensor_default_102 = torch.ops.quantized_decomposed.quantize_per_tensor.default(mul_5, 0.005491943098604679, -67, -128, 127, torch.int8); mul_5 = None 2024-06-26T05:16:36.9893019Z dequantize_per_tensor_default_102 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_102, 0.005491943098604679, -67, -128, 127, torch.int8); quantize_per_tensor_default_102 = None 2024-06-26T05:16:36.9895269Z _frozen_param35 = self._frozen_param35 2024-06-26T05:16:36.9897649Z dequantize_per_tensor_default_103 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param35, 0.026196502149105072, 0, -127, 127, torch.int8); _frozen_param35 = None 2024-06-26T05:16:36.9900362Z features_8_block_3_0_weight_bias = self.features_8_block_3_0_weight_bias 2024-06-26T05:16:36.9903358Z conv2d_35 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_102, dequantize_per_tensor_default_103, features_8_block_3_0_weight_bias); dequantize_per_tensor_default_102 = dequantize_per_tensor_default_103 = features_8_block_3_0_weight_bias = None 2024-06-26T05:16:36.9907420Z quantize_per_tensor_default_104 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_35, 0.02513938769698143, -28, -128, 127, torch.int8); conv2d_35 = None 2024-06-26T05:16:36.9911159Z dequantize_per_tensor_default_104 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_104, 0.02513938769698143, -28, -128, 127, torch.int8); quantize_per_tensor_default_104 = None 2024-06-26T05:16:36.9915043Z add__3 = torch.ops.aten.add_.Tensor(dequantize_per_tensor_default_104, dequantize_per_tensor_default_180); dequantize_per_tensor_default_104 = dequantize_per_tensor_default_180 = None 2024-06-26T05:16:36.9918822Z quantize_per_tensor_default_105 = torch.ops.quantized_decomposed.quantize_per_tensor.default(add__3, 0.031132366508245468, 11, -128, 127, torch.int8); add__3 = None 2024-06-26T05:16:36.9922471Z dequantize_per_tensor_default_105 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_105, 0.031132366508245468, 11, -128, 127, torch.int8); quantize_per_tensor_default_105 = None 2024-06-26T05:16:36.9924639Z _frozen_param36 = self._frozen_param36 2024-06-26T05:16:36.9926870Z dequantize_per_tensor_default_106 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param36, 0.00884885061532259, 0, -127, 127, torch.int8); _frozen_param36 = None 2024-06-26T05:16:36.9929320Z features_9_block_0_0_weight_bias = self.features_9_block_0_0_weight_bias 2024-06-26T05:16:36.9932080Z conv2d_36 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_105, dequantize_per_tensor_default_106, features_9_block_0_0_weight_bias); dequantize_per_tensor_default_105 = dequantize_per_tensor_default_106 = features_9_block_0_0_weight_bias = None 2024-06-26T05:16:36.9936168Z quantize_per_tensor_default_107 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_36, 0.03349317982792854, 16, -128, 127, torch.int8); conv2d_36 = None 2024-06-26T05:16:36.9940232Z dequantize_per_tensor_default_107 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_107, 0.03349317982792854, 16, -128, 127, torch.int8); quantize_per_tensor_default_107 = None 2024-06-26T05:16:36.9943420Z hardswish__11 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_107); dequantize_per_tensor_default_107 = None 2024-06-26T05:16:36.9946622Z quantize_per_tensor_default_108 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__11, 0.01609356887638569, -105, -128, 127, torch.int8); hardswish__11 = None 2024-06-26T05:16:36.9950435Z dequantize_per_tensor_default_108 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_108, 0.01609356887638569, -105, -128, 127, torch.int8); quantize_per_tensor_default_108 = None 2024-06-26T05:16:36.9952801Z _frozen_param37 = self._frozen_param37 2024-06-26T05:16:36.9955287Z dequantize_per_tensor_default_109 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param37, 0.07351506501436234, 0, -127, 127, torch.int8); _frozen_param37 = None 2024-06-26T05:16:36.9957707Z features_9_block_1_0_weight_bias = self.features_9_block_1_0_weight_bias 2024-06-26T05:16:36.9960831Z conv2d_37 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_108, dequantize_per_tensor_default_109, features_9_block_1_0_weight_bias, [2, 2], [2, 2], [1, 1], 288); dequantize_per_tensor_default_108 = dequantize_per_tensor_default_109 = features_9_block_1_0_weight_bias = None 2024-06-26T05:16:36.9965005Z quantize_per_tensor_default_110 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_37, 0.029148833826184273, 4, -128, 127, torch.int8); conv2d_37 = None 2024-06-26T05:16:36.9969140Z dequantize_per_tensor_default_110 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_110, 0.029148833826184273, 4, -128, 127, torch.int8); quantize_per_tensor_default_110 = None 2024-06-26T05:16:36.9972399Z hardswish__12 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_110); dequantize_per_tensor_default_110 = None 2024-06-26T05:16:36.9975417Z quantize_per_tensor_default_111 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__12, 0.015525054186582565, -104, -128, 127, torch.int8); hardswish__12 = None 2024-06-26T05:16:36.9979005Z dequantize_per_tensor_default_184 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_111, 0.015525054186582565, -104, -128, 127, torch.int8) 2024-06-26T05:16:36.9983116Z dequantize_per_tensor_default_183 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_111, 0.015525054186582565, -104, -128, 127, torch.int8); quantize_per_tensor_default_111 = None 2024-06-26T05:16:36.9986333Z adaptive_avg_pool2d_6 = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_183, [1, 1]); dequantize_per_tensor_default_183 = None 2024-06-26T05:16:36.9989809Z quantize_per_tensor_default_112 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d_6, 0.015525054186582565, -104, -128, 127, torch.int8); adaptive_avg_pool2d_6 = None 2024-06-26T05:16:36.9993960Z dequantize_per_tensor_default_112 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_112, 0.015525054186582565, -104, -128, 127, torch.int8); quantize_per_tensor_default_112 = None 2024-06-26T05:16:36.9996458Z _frozen_param38 = self._frozen_param38 2024-06-26T05:16:36.9998991Z dequantize_per_tensor_default_113 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param38, 0.010171673260629177, 0, -127, 127, torch.int8); _frozen_param38 = None 2024-06-26T05:16:37.0001073Z _param_constant103 = self.features_9_block_2_fc1_bias 2024-06-26T05:16:37.0003748Z conv2d_38 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_112, dequantize_per_tensor_default_113, _param_constant103); dequantize_per_tensor_default_112 = dequantize_per_tensor_default_113 = _param_constant103 = None 2024-06-26T05:16:37.0006385Z relu_6 = torch.ops.aten.relu.default(conv2d_38); conv2d_38 = None 2024-06-26T05:16:37.0008801Z quantize_per_tensor_default_114 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu_6, 0.008966333232820034, -128, -128, 127, torch.int8); relu_6 = None 2024-06-26T05:16:37.0012568Z dequantize_per_tensor_default_114 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_114, 0.008966333232820034, -128, -128, 127, torch.int8); quantize_per_tensor_default_114 = None 2024-06-26T05:16:37.0014918Z _frozen_param39 = self._frozen_param39 2024-06-26T05:16:37.0017225Z dequantize_per_tensor_default_115 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param39, 0.009884593077003956, 0, -127, 127, torch.int8); _frozen_param39 = None 2024-06-26T05:16:37.0019492Z _param_constant105 = self.features_9_block_2_fc2_bias 2024-06-26T05:16:37.0022262Z conv2d_39 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_114, dequantize_per_tensor_default_115, _param_constant105); dequantize_per_tensor_default_114 = dequantize_per_tensor_default_115 = _param_constant105 = None 2024-06-26T05:16:37.0026191Z quantize_per_tensor_default_116 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_39, 0.02220064029097557, -17, -128, 127, torch.int8); conv2d_39 = None 2024-06-26T05:16:37.0029972Z dequantize_per_tensor_default_116 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_116, 0.02220064029097557, -17, -128, 127, torch.int8); quantize_per_tensor_default_116 = None 2024-06-26T05:16:37.0033166Z hardsigmoid_6 = torch.ops.aten.hardsigmoid.default(dequantize_per_tensor_default_116); dequantize_per_tensor_default_116 = None 2024-06-26T05:16:37.0036143Z quantize_per_tensor_default_117 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardsigmoid_6, 0.003919826354831457, -128, -128, 127, torch.int8); hardsigmoid_6 = None 2024-06-26T05:16:37.0040318Z dequantize_per_tensor_default_117 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_117, 0.003919826354831457, -128, -128, 127, torch.int8); quantize_per_tensor_default_117 = None 2024-06-26T05:16:37.0044096Z mul_6 = torch.ops.aten.mul.Tensor(dequantize_per_tensor_default_117, dequantize_per_tensor_default_184); dequantize_per_tensor_default_117 = dequantize_per_tensor_default_184 = None 2024-06-26T05:16:37.0047377Z quantize_per_tensor_default_118 = torch.ops.quantized_decomposed.quantize_per_tensor.default(mul_6, 0.004622971639037132, -53, -128, 127, torch.int8); mul_6 = None 2024-06-26T05:16:37.0051080Z dequantize_per_tensor_default_118 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_118, 0.004622971639037132, -53, -128, 127, torch.int8); quantize_per_tensor_default_118 = None 2024-06-26T05:16:37.0053581Z _frozen_param40 = self._frozen_param40 2024-06-26T05:16:37.0056010Z dequantize_per_tensor_default_119 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param40, 0.009600795805454254, 0, -127, 127, torch.int8); _frozen_param40 = None 2024-06-26T05:16:37.0058277Z features_9_block_3_0_weight_bias = self.features_9_block_3_0_weight_bias 2024-06-26T05:16:37.0061274Z conv2d_40 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_118, dequantize_per_tensor_default_119, features_9_block_3_0_weight_bias); dequantize_per_tensor_default_118 = dequantize_per_tensor_default_119 = features_9_block_3_0_weight_bias = None 2024-06-26T05:16:37.0065277Z quantize_per_tensor_default_120 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_40, 0.011377639137208462, -6, -128, 127, torch.int8); conv2d_40 = None 2024-06-26T05:16:37.0069043Z dequantize_per_tensor_default_186 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_120, 0.011377639137208462, -6, -128, 127, torch.int8) 2024-06-26T05:16:37.0072877Z dequantize_per_tensor_default_185 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_120, 0.011377639137208462, -6, -128, 127, torch.int8); quantize_per_tensor_default_120 = None 2024-06-26T05:16:37.0075245Z _frozen_param41 = self._frozen_param41 2024-06-26T05:16:37.0077644Z dequantize_per_tensor_default_121 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param41, 0.008772623725235462, 0, -127, 127, torch.int8); _frozen_param41 = None 2024-06-26T05:16:37.0080209Z features_10_block_0_0_weight_bias = self.features_10_block_0_0_weight_bias 2024-06-26T05:16:37.0083322Z conv2d_41 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_185, dequantize_per_tensor_default_121, features_10_block_0_0_weight_bias); dequantize_per_tensor_default_185 = dequantize_per_tensor_default_121 = features_10_block_0_0_weight_bias = None 2024-06-26T05:16:37.0087379Z quantize_per_tensor_default_122 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_41, 0.019726678729057312, 36, -128, 127, torch.int8); conv2d_41 = None 2024-06-26T05:16:37.0091148Z dequantize_per_tensor_default_122 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_122, 0.019726678729057312, 36, -128, 127, torch.int8); quantize_per_tensor_default_122 = None 2024-06-26T05:16:37.0094361Z hardswish__13 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_122); dequantize_per_tensor_default_122 = None 2024-06-26T05:16:37.0097623Z quantize_per_tensor_default_123 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__13, 0.008218232542276382, -82, -128, 127, torch.int8); hardswish__13 = None 2024-06-26T05:16:37.0101603Z dequantize_per_tensor_default_123 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_123, 0.008218232542276382, -82, -128, 127, torch.int8); quantize_per_tensor_default_123 = None 2024-06-26T05:16:37.0103869Z _frozen_param42 = self._frozen_param42 2024-06-26T05:16:37.0106108Z dequantize_per_tensor_default_124 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param42, 0.14382794499397278, 0, -127, 127, torch.int8); _frozen_param42 = None 2024-06-26T05:16:37.0108244Z features_10_block_1_0_weight_bias = self.features_10_block_1_0_weight_bias 2024-06-26T05:16:37.0111376Z conv2d_42 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_123, dequantize_per_tensor_default_124, features_10_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 576); dequantize_per_tensor_default_123 = dequantize_per_tensor_default_124 = features_10_block_1_0_weight_bias = None 2024-06-26T05:16:37.0115685Z quantize_per_tensor_default_125 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_42, 0.030605250969529152, 33, -128, 127, torch.int8); conv2d_42 = None 2024-06-26T05:16:37.0119823Z dequantize_per_tensor_default_125 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_125, 0.030605250969529152, 33, -128, 127, torch.int8); quantize_per_tensor_default_125 = None 2024-06-26T05:16:37.0122867Z hardswish__14 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_125); dequantize_per_tensor_default_125 = None 2024-06-26T05:16:37.0125897Z quantize_per_tensor_default_126 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__14, 0.012795067392289639, -99, -128, 127, torch.int8); hardswish__14 = None 2024-06-26T05:16:37.0129497Z dequantize_per_tensor_default_188 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_126, 0.012795067392289639, -99, -128, 127, torch.int8) 2024-06-26T05:16:37.0133583Z dequantize_per_tensor_default_187 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_126, 0.012795067392289639, -99, -128, 127, torch.int8); quantize_per_tensor_default_126 = None 2024-06-26T05:16:37.0136998Z adaptive_avg_pool2d_7 = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_187, [1, 1]); dequantize_per_tensor_default_187 = None 2024-06-26T05:16:37.0140457Z quantize_per_tensor_default_127 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d_7, 0.012795067392289639, -99, -128, 127, torch.int8); adaptive_avg_pool2d_7 = None 2024-06-26T05:16:37.0144662Z dequantize_per_tensor_default_127 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_127, 0.012795067392289639, -99, -128, 127, torch.int8); quantize_per_tensor_default_127 = None 2024-06-26T05:16:37.0146889Z _frozen_param43 = self._frozen_param43 2024-06-26T05:16:37.0149166Z dequantize_per_tensor_default_128 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param43, 0.012263336218893528, 0, -127, 127, torch.int8); _frozen_param43 = None 2024-06-26T05:16:37.0151365Z _param_constant116 = self.features_10_block_2_fc1_bias 2024-06-26T05:16:37.0153834Z conv2d_43 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_127, dequantize_per_tensor_default_128, _param_constant116); dequantize_per_tensor_default_127 = dequantize_per_tensor_default_128 = _param_constant116 = None 2024-06-26T05:16:37.0156636Z relu_7 = torch.ops.aten.relu.default(conv2d_43); conv2d_43 = None 2024-06-26T05:16:37.0159352Z quantize_per_tensor_default_129 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu_7, 0.013059389777481556, -128, -128, 127, torch.int8); relu_7 = None 2024-06-26T05:16:37.0163226Z dequantize_per_tensor_default_129 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_129, 0.013059389777481556, -128, -128, 127, torch.int8); quantize_per_tensor_default_129 = None 2024-06-26T05:16:37.0165582Z _frozen_param44 = self._frozen_param44 2024-06-26T05:16:37.0167874Z dequantize_per_tensor_default_130 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param44, 0.018498629331588745, 0, -127, 127, torch.int8); _frozen_param44 = None 2024-06-26T05:16:37.0170051Z _param_constant118 = self.features_10_block_2_fc2_bias 2024-06-26T05:16:37.0172554Z conv2d_44 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_129, dequantize_per_tensor_default_130, _param_constant118); dequantize_per_tensor_default_129 = dequantize_per_tensor_default_130 = _param_constant118 = None 2024-06-26T05:16:37.0176429Z quantize_per_tensor_default_131 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_44, 0.02821929380297661, 22, -128, 127, torch.int8); conv2d_44 = None 2024-06-26T05:16:37.0180335Z dequantize_per_tensor_default_131 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_131, 0.02821929380297661, 22, -128, 127, torch.int8); quantize_per_tensor_default_131 = None 2024-06-26T05:16:37.0183633Z hardsigmoid_7 = torch.ops.aten.hardsigmoid.default(dequantize_per_tensor_default_131); dequantize_per_tensor_default_131 = None 2024-06-26T05:16:37.0186609Z quantize_per_tensor_default_132 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardsigmoid_7, 0.003906350117176771, -128, -128, 127, torch.int8); hardsigmoid_7 = None 2024-06-26T05:16:37.0190612Z dequantize_per_tensor_default_132 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_132, 0.003906350117176771, -128, -128, 127, torch.int8); quantize_per_tensor_default_132 = None 2024-06-26T05:16:37.0194029Z mul_7 = torch.ops.aten.mul.Tensor(dequantize_per_tensor_default_132, dequantize_per_tensor_default_188); dequantize_per_tensor_default_132 = dequantize_per_tensor_default_188 = None 2024-06-26T05:16:37.0197381Z quantize_per_tensor_default_133 = torch.ops.quantized_decomposed.quantize_per_tensor.default(mul_7, 0.0033363965339958668, -16, -128, 127, torch.int8); mul_7 = None 2024-06-26T05:16:37.0201548Z dequantize_per_tensor_default_133 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_133, 0.0033363965339958668, -16, -128, 127, torch.int8); quantize_per_tensor_default_133 = None 2024-06-26T05:16:37.0203904Z _frozen_param45 = self._frozen_param45 2024-06-26T05:16:37.0206140Z dequantize_per_tensor_default_134 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param45, 0.018573224544525146, 0, -127, 127, torch.int8); _frozen_param45 = None 2024-06-26T05:16:37.0208502Z features_10_block_3_0_weight_bias = self.features_10_block_3_0_weight_bias 2024-06-26T05:16:37.0211425Z conv2d_45 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_133, dequantize_per_tensor_default_134, features_10_block_3_0_weight_bias); dequantize_per_tensor_default_133 = dequantize_per_tensor_default_134 = features_10_block_3_0_weight_bias = None 2024-06-26T05:16:37.0215781Z quantize_per_tensor_default_135 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_45, 0.009780419990420341, -12, -128, 127, torch.int8); conv2d_45 = None 2024-06-26T05:16:37.0219492Z dequantize_per_tensor_default_135 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_135, 0.009780419990420341, -12, -128, 127, torch.int8); quantize_per_tensor_default_135 = None 2024-06-26T05:16:37.0223131Z add__4 = torch.ops.aten.add_.Tensor(dequantize_per_tensor_default_135, dequantize_per_tensor_default_186); dequantize_per_tensor_default_135 = dequantize_per_tensor_default_186 = None 2024-06-26T05:16:37.0226608Z quantize_per_tensor_default_136 = torch.ops.quantized_decomposed.quantize_per_tensor.default(add__4, 0.01390751451253891, -4, -128, 127, torch.int8); add__4 = None 2024-06-26T05:16:37.0230268Z dequantize_per_tensor_default_190 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_136, 0.01390751451253891, -4, -128, 127, torch.int8) 2024-06-26T05:16:37.0234015Z dequantize_per_tensor_default_189 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_136, 0.01390751451253891, -4, -128, 127, torch.int8); quantize_per_tensor_default_136 = None 2024-06-26T05:16:37.0236325Z _frozen_param46 = self._frozen_param46 2024-06-26T05:16:37.0238798Z dequantize_per_tensor_default_137 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param46, 0.00417760293930769, 0, -127, 127, torch.int8); _frozen_param46 = None 2024-06-26T05:16:37.0241324Z features_11_block_0_0_weight_bias = self.features_11_block_0_0_weight_bias 2024-06-26T05:16:37.0244105Z conv2d_46 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_189, dequantize_per_tensor_default_137, features_11_block_0_0_weight_bias); dequantize_per_tensor_default_189 = dequantize_per_tensor_default_137 = features_11_block_0_0_weight_bias = None 2024-06-26T05:16:37.0248286Z quantize_per_tensor_default_138 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_46, 0.019525067880749702, 39, -128, 127, torch.int8); conv2d_46 = None 2024-06-26T05:16:37.0252094Z dequantize_per_tensor_default_138 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_138, 0.019525067880749702, 39, -128, 127, torch.int8); quantize_per_tensor_default_138 = None 2024-06-26T05:16:37.0255417Z hardswish__15 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_138); dequantize_per_tensor_default_138 = None 2024-06-26T05:16:37.0258589Z quantize_per_tensor_default_139 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__15, 0.0067838034592568874, -73, -128, 127, torch.int8); hardswish__15 = None 2024-06-26T05:16:37.0262524Z dequantize_per_tensor_default_139 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_139, 0.0067838034592568874, -73, -128, 127, torch.int8); quantize_per_tensor_default_139 = None 2024-06-26T05:16:37.0264808Z _frozen_param47 = self._frozen_param47 2024-06-26T05:16:37.0267326Z dequantize_per_tensor_default_140 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param47, 0.14140361547470093, 0, -127, 127, torch.int8); _frozen_param47 = None 2024-06-26T05:16:37.0269660Z features_11_block_1_0_weight_bias = self.features_11_block_1_0_weight_bias 2024-06-26T05:16:37.0272628Z conv2d_47 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_139, dequantize_per_tensor_default_140, features_11_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 576); dequantize_per_tensor_default_139 = dequantize_per_tensor_default_140 = features_11_block_1_0_weight_bias = None 2024-06-26T05:16:37.0276996Z quantize_per_tensor_default_141 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_47, 0.02423640340566635, -4, -128, 127, torch.int8); conv2d_47 = None 2024-06-26T05:16:37.0281124Z dequantize_per_tensor_default_141 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_141, 0.02423640340566635, -4, -128, 127, torch.int8); quantize_per_tensor_default_141 = None 2024-06-26T05:16:37.0284127Z hardswish__16 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_141); dequantize_per_tensor_default_141 = None 2024-06-26T05:16:37.0287310Z quantize_per_tensor_default_142 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__16, 0.013925882056355476, -101, -128, 127, torch.int8); hardswish__16 = None 2024-06-26T05:16:37.0290696Z dequantize_per_tensor_default_192 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_142, 0.013925882056355476, -101, -128, 127, torch.int8) 2024-06-26T05:16:37.0294772Z dequantize_per_tensor_default_191 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_142, 0.013925882056355476, -101, -128, 127, torch.int8); quantize_per_tensor_default_142 = None 2024-06-26T05:16:37.0298348Z adaptive_avg_pool2d_8 = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_191, [1, 1]); dequantize_per_tensor_default_191 = None 2024-06-26T05:16:37.0301902Z quantize_per_tensor_default_143 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d_8, 0.013925882056355476, -101, -128, 127, torch.int8); adaptive_avg_pool2d_8 = None 2024-06-26T05:16:37.0306015Z dequantize_per_tensor_default_143 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_143, 0.013925882056355476, -101, -128, 127, torch.int8); quantize_per_tensor_default_143 = None 2024-06-26T05:16:37.0308379Z _frozen_param48 = self._frozen_param48 2024-06-26T05:16:37.0310845Z dequantize_per_tensor_default_144 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param48, 0.009612107649445534, 0, -127, 127, torch.int8); _frozen_param48 = None 2024-06-26T05:16:37.0313124Z _param_constant129 = self.features_11_block_2_fc1_bias 2024-06-26T05:16:37.0315622Z conv2d_48 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_143, dequantize_per_tensor_default_144, _param_constant129); dequantize_per_tensor_default_143 = dequantize_per_tensor_default_144 = _param_constant129 = None 2024-06-26T05:16:37.0318435Z relu_8 = torch.ops.aten.relu.default(conv2d_48); conv2d_48 = None 2024-06-26T05:16:37.0320756Z quantize_per_tensor_default_145 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu_8, 0.011333034373819828, -128, -128, 127, torch.int8); relu_8 = None 2024-06-26T05:16:37.0324658Z dequantize_per_tensor_default_145 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_145, 0.011333034373819828, -128, -128, 127, torch.int8); quantize_per_tensor_default_145 = None 2024-06-26T05:16:37.0327042Z _frozen_param49 = self._frozen_param49 2024-06-26T05:16:37.0329356Z dequantize_per_tensor_default_146 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param49, 0.01122909877449274, 0, -127, 127, torch.int8); _frozen_param49 = None 2024-06-26T05:16:37.0331588Z _param_constant131 = self.features_11_block_2_fc2_bias 2024-06-26T05:16:37.0334087Z conv2d_49 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_145, dequantize_per_tensor_default_146, _param_constant131); dequantize_per_tensor_default_145 = dequantize_per_tensor_default_146 = _param_constant131 = None 2024-06-26T05:16:37.0337958Z quantize_per_tensor_default_147 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_49, 0.025972450152039528, 42, -128, 127, torch.int8); conv2d_49 = None 2024-06-26T05:16:37.0341809Z dequantize_per_tensor_default_147 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_147, 0.025972450152039528, 42, -128, 127, torch.int8); quantize_per_tensor_default_147 = None 2024-06-26T05:16:37.0344897Z hardsigmoid_8 = torch.ops.aten.hardsigmoid.default(dequantize_per_tensor_default_147); dequantize_per_tensor_default_147 = None 2024-06-26T05:16:37.0348037Z quantize_per_tensor_default_148 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardsigmoid_8, 0.003404785878956318, -128, -128, 127, torch.int8); hardsigmoid_8 = None 2024-06-26T05:16:37.0351881Z dequantize_per_tensor_default_148 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_148, 0.003404785878956318, -128, -128, 127, torch.int8); quantize_per_tensor_default_148 = None 2024-06-26T05:16:37.0355657Z mul_8 = torch.ops.aten.mul.Tensor(dequantize_per_tensor_default_148, dequantize_per_tensor_default_192); dequantize_per_tensor_default_148 = dequantize_per_tensor_default_192 = None 2024-06-26T05:16:37.0359420Z quantize_per_tensor_default_149 = torch.ops.quantized_decomposed.quantize_per_tensor.default(mul_8, 0.0035743992775678635, -38, -128, 127, torch.int8); mul_8 = None 2024-06-26T05:16:37.0363162Z dequantize_per_tensor_default_149 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_149, 0.0035743992775678635, -38, -128, 127, torch.int8); quantize_per_tensor_default_149 = None 2024-06-26T05:16:37.0365451Z _frozen_param50 = self._frozen_param50 2024-06-26T05:16:37.0367829Z dequantize_per_tensor_default_150 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param50, 0.020246243104338646, 0, -127, 127, torch.int8); _frozen_param50 = None 2024-06-26T05:16:37.0370301Z features_11_block_3_0_weight_bias = self.features_11_block_3_0_weight_bias 2024-06-26T05:16:37.0373465Z conv2d_50 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_149, dequantize_per_tensor_default_150, features_11_block_3_0_weight_bias); dequantize_per_tensor_default_149 = dequantize_per_tensor_default_150 = features_11_block_3_0_weight_bias = None 2024-06-26T05:16:37.0377519Z quantize_per_tensor_default_151 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_50, 0.012693964876234531, -26, -128, 127, torch.int8); conv2d_50 = None 2024-06-26T05:16:37.0381398Z dequantize_per_tensor_default_151 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_151, 0.012693964876234531, -26, -128, 127, torch.int8); quantize_per_tensor_default_151 = None 2024-06-26T05:16:37.0385093Z add__5 = torch.ops.aten.add_.Tensor(dequantize_per_tensor_default_151, dequantize_per_tensor_default_190); dequantize_per_tensor_default_151 = dequantize_per_tensor_default_190 = None 2024-06-26T05:16:37.0388477Z quantize_per_tensor_default_152 = torch.ops.quantized_decomposed.quantize_per_tensor.default(add__5, 0.01864243857562542, -6, -128, 127, torch.int8); add__5 = None 2024-06-26T05:16:37.0392153Z dequantize_per_tensor_default_152 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_152, 0.01864243857562542, -6, -128, 127, torch.int8); quantize_per_tensor_default_152 = None 2024-06-26T05:16:37.0394415Z _frozen_param51 = self._frozen_param51 2024-06-26T05:16:37.0396836Z dequantize_per_tensor_default_153 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param51, 0.009127296507358551, 0, -127, 127, torch.int8); _frozen_param51 = None 2024-06-26T05:16:37.0399181Z features_12_0_weight_bias = self.features_12_0_weight_bias 2024-06-26T05:16:37.0401956Z conv2d_51 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_152, dequantize_per_tensor_default_153, features_12_0_weight_bias); dequantize_per_tensor_default_152 = dequantize_per_tensor_default_153 = features_12_0_weight_bias = None 2024-06-26T05:16:37.0406244Z quantize_per_tensor_default_154 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_51, 0.04580980911850929, 21, -128, 127, torch.int8); conv2d_51 = None 2024-06-26T05:16:37.0409996Z dequantize_per_tensor_default_154 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_154, 0.04580980911850929, 21, -128, 127, torch.int8); quantize_per_tensor_default_154 = None 2024-06-26T05:16:37.0413048Z hardswish__17 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_154); dequantize_per_tensor_default_154 = None 2024-06-26T05:16:37.0416282Z quantize_per_tensor_default_155 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__17, 0.020274875685572624, -110, -128, 127, torch.int8); hardswish__17 = None 2024-06-26T05:16:37.0420418Z dequantize_per_tensor_default_155 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_155, 0.020274875685572624, -110, -128, 127, torch.int8); quantize_per_tensor_default_155 = None 2024-06-26T05:16:37.0423875Z adaptive_avg_pool2d_9 = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_155, [1, 1]); dequantize_per_tensor_default_155 = None 2024-06-26T05:16:37.0427243Z quantize_per_tensor_default_156 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d_9, 0.020274875685572624, -110, -128, 127, torch.int8); adaptive_avg_pool2d_9 = None 2024-06-26T05:16:37.0431309Z dequantize_per_tensor_default_156 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_156, 0.020274875685572624, -110, -128, 127, torch.int8); quantize_per_tensor_default_156 = None 2024-06-26T05:16:37.0434278Z flatten = torch.ops.aten.flatten.using_ints(dequantize_per_tensor_default_156, 1); dequantize_per_tensor_default_156 = None 2024-06-26T05:16:37.0437406Z quantize_per_tensor_default_157 = torch.ops.quantized_decomposed.quantize_per_tensor.default(flatten, 0.020274875685572624, -110, -128, 127, torch.int8); flatten = None 2024-06-26T05:16:37.0441454Z dequantize_per_tensor_default_157 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_157, 0.020274875685572624, -110, -128, 127, torch.int8); quantize_per_tensor_default_157 = None 2024-06-26T05:16:37.0443944Z _frozen_param52 = self._frozen_param52 2024-06-26T05:16:37.0446355Z dequantize_per_tensor_default_158 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param52, 0.01189471036195755, 0, -127, 127, torch.int8); _frozen_param52 = None 2024-06-26T05:16:37.0463021Z _param_constant139 = self.classifier_0_bias 2024-06-26T05:16:37.0465475Z linear = torch.ops.aten.linear.default(dequantize_per_tensor_default_157, dequantize_per_tensor_default_158, _param_constant139); dequantize_per_tensor_default_157 = dequantize_per_tensor_default_158 = _param_constant139 = None 2024-06-26T05:16:37.0469466Z quantize_per_tensor_default_159 = torch.ops.quantized_decomposed.quantize_per_tensor.default(linear, 0.027926508337259293, 52, -128, 127, torch.int8); linear = None 2024-06-26T05:16:37.0473195Z dequantize_per_tensor_default_159 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_159, 0.027926508337259293, 52, -128, 127, torch.int8); quantize_per_tensor_default_159 = None 2024-06-26T05:16:37.0476362Z hardswish__18 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_159); dequantize_per_tensor_default_159 = None 2024-06-26T05:16:37.0478693Z dropout_ = torch.ops.aten.dropout_.default(hardswish__18, 0.2, False); hardswish__18 = None 2024-06-26T05:16:37.0481348Z quantize_per_tensor_default_160 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dropout_, 0.008509001694619656, -84, -128, 127, torch.int8); dropout_ = None 2024-06-26T05:16:37.0485504Z dequantize_per_tensor_default_160 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_160, 0.008509001694619656, -84, -128, 127, torch.int8); quantize_per_tensor_default_160 = None 2024-06-26T05:16:37.0487953Z _frozen_param53 = self._frozen_param53 2024-06-26T05:16:37.0490195Z dequantize_per_tensor_default_161 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param53, 0.005898590665310621, 0, -127, 127, torch.int8); _frozen_param53 = None 2024-06-26T05:16:37.0492315Z _param_constant141 = self.classifier_3_bias 2024-06-26T05:16:37.0494709Z linear_1 = torch.ops.aten.linear.default(dequantize_per_tensor_default_160, dequantize_per_tensor_default_161, _param_constant141); dequantize_per_tensor_default_160 = dequantize_per_tensor_default_161 = _param_constant141 = None 2024-06-26T05:16:37.0498703Z quantize_per_tensor_default_162 = torch.ops.quantized_decomposed.quantize_per_tensor.default(linear_1, 0.03981552645564079, -26, -128, 127, torch.int8); linear_1 = None 2024-06-26T05:16:37.0502700Z dequantize_per_tensor_default_162 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_162, 0.03981552645564079, -26, -128, 127, torch.int8); quantize_per_tensor_default_162 = None 2024-06-26T05:16:37.0505508Z return pytree.tree_unflatten([dequantize_per_tensor_default_162], self._out_spec) 2024-06-26T05:16:37.0506550Z 2024-06-26T05:16:37.0507238Z # To see more debug info, please use `graph_module.print_readable()` 2024-06-26T05:16:37.0508671Z [INFO 2024-06-26 05:16:36,883 example.py:182] Quantize time: 2.087005027999112s 2024-06-26T05:16:38.4815090Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:362: UserWarning: At pre-dispatch tracing, we will assume that any custom op that is marked with CompositeImplicitAutograd and functional are safe to not decompose. We found quantized_decomposed.quantize_per_tensor.default to be one such op. 2024-06-26T05:16:38.4818732Z warnings.warn( 2024-06-26T05:16:38.4835607Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:362: UserWarning: At pre-dispatch tracing, we will assume that any custom op that is marked with CompositeImplicitAutograd and functional are safe to not decompose. We found quantized_decomposed.dequantize_per_tensor.default to be one such op. 2024-06-26T05:16:38.4839555Z warnings.warn( 2024-06-26T05:16:39.1618299Z [INFO 2024-06-26 05:16:39,161 utils.py:42] Core ATen graph: 2024-06-26T05:16:39.1619207Z graph(): 2024-06-26T05:16:39.1620334Z %p_features_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_0_0_weight_bias] 2024-06-26T05:16:39.1621895Z %p_features_1_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_1_block_0_0_weight_bias] 2024-06-26T05:16:39.1623471Z %p_features_1_block_1_fc1_bias : [num_users=1] = placeholder[target=p_features_1_block_1_fc1_bias] 2024-06-26T05:16:39.1625015Z %p_features_1_block_1_fc2_bias : [num_users=1] = placeholder[target=p_features_1_block_1_fc2_bias] 2024-06-26T05:16:39.1626760Z %p_features_1_block_2_0_weight_bias : [num_users=1] = placeholder[target=p_features_1_block_2_0_weight_bias] 2024-06-26T05:16:39.1628492Z %p_features_2_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_2_block_0_0_weight_bias] 2024-06-26T05:16:39.1629642Z %p_features_2_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_2_block_1_0_weight_bias] 2024-06-26T05:16:39.1630676Z %p_features_2_block_2_0_weight_bias : [num_users=1] = placeholder[target=p_features_2_block_2_0_weight_bias] 2024-06-26T05:16:39.1631953Z %p_features_3_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_3_block_0_0_weight_bias] 2024-06-26T05:16:39.1632973Z %p_features_3_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_3_block_1_0_weight_bias] 2024-06-26T05:16:39.1634013Z %p_features_3_block_2_0_weight_bias : [num_users=1] = placeholder[target=p_features_3_block_2_0_weight_bias] 2024-06-26T05:16:39.1635113Z %p_features_4_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_4_block_0_0_weight_bias] 2024-06-26T05:16:39.1636145Z %p_features_4_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_4_block_1_0_weight_bias] 2024-06-26T05:16:39.1637124Z %p_features_4_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_4_block_2_fc1_bias] 2024-06-26T05:16:39.1638310Z %p_features_4_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_4_block_2_fc2_bias] 2024-06-26T05:16:39.1639311Z %p_features_4_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_4_block_3_0_weight_bias] 2024-06-26T05:16:39.1640338Z %p_features_5_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_5_block_0_0_weight_bias] 2024-06-26T05:16:39.1641376Z %p_features_5_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_5_block_1_0_weight_bias] 2024-06-26T05:16:39.1642374Z %p_features_5_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_5_block_2_fc1_bias] 2024-06-26T05:16:39.1643330Z %p_features_5_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_5_block_2_fc2_bias] 2024-06-26T05:16:39.1644368Z %p_features_5_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_5_block_3_0_weight_bias] 2024-06-26T05:16:39.1645398Z %p_features_6_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_6_block_0_0_weight_bias] 2024-06-26T05:16:39.1646431Z %p_features_6_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_6_block_1_0_weight_bias] 2024-06-26T05:16:39.1647430Z %p_features_6_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_6_block_2_fc1_bias] 2024-06-26T05:16:39.1648370Z %p_features_6_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_6_block_2_fc2_bias] 2024-06-26T05:16:39.1649364Z %p_features_6_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_6_block_3_0_weight_bias] 2024-06-26T05:16:39.1650459Z %p_features_7_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_7_block_0_0_weight_bias] 2024-06-26T05:16:39.1651478Z %p_features_7_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_7_block_1_0_weight_bias] 2024-06-26T05:16:39.1652472Z %p_features_7_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_7_block_2_fc1_bias] 2024-06-26T05:16:39.1653419Z %p_features_7_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_7_block_2_fc2_bias] 2024-06-26T05:16:39.1654411Z %p_features_7_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_7_block_3_0_weight_bias] 2024-06-26T05:16:39.1655432Z %p_features_8_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_8_block_0_0_weight_bias] 2024-06-26T05:16:39.1656462Z %p_features_8_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_8_block_1_0_weight_bias] 2024-06-26T05:16:39.1657462Z %p_features_8_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_8_block_2_fc1_bias] 2024-06-26T05:16:39.1658404Z %p_features_8_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_8_block_2_fc2_bias] 2024-06-26T05:16:39.1659398Z %p_features_8_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_8_block_3_0_weight_bias] 2024-06-26T05:16:39.1660520Z %p_features_9_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_9_block_0_0_weight_bias] 2024-06-26T05:16:39.1661605Z %p_features_9_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_9_block_1_0_weight_bias] 2024-06-26T05:16:39.1662589Z %p_features_9_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_9_block_2_fc1_bias] 2024-06-26T05:16:39.1663542Z %p_features_9_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_9_block_2_fc2_bias] 2024-06-26T05:16:39.1664534Z %p_features_9_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_9_block_3_0_weight_bias] 2024-06-26T05:16:39.1665616Z %p_features_10_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_10_block_0_0_weight_bias] 2024-06-26T05:16:39.1666679Z %p_features_10_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_10_block_1_0_weight_bias] 2024-06-26T05:16:39.1667704Z %p_features_10_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_10_block_2_fc1_bias] 2024-06-26T05:16:39.1668678Z %p_features_10_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_10_block_2_fc2_bias] 2024-06-26T05:16:39.1669684Z %p_features_10_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_10_block_3_0_weight_bias] 2024-06-26T05:16:39.1670747Z %p_features_11_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_11_block_0_0_weight_bias] 2024-06-26T05:16:39.1671813Z %p_features_11_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_11_block_1_0_weight_bias] 2024-06-26T05:16:39.1672839Z %p_features_11_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_11_block_2_fc1_bias] 2024-06-26T05:16:39.1673833Z %p_features_11_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_11_block_2_fc2_bias] 2024-06-26T05:16:39.1674848Z %p_features_11_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_11_block_3_0_weight_bias] 2024-06-26T05:16:39.1675833Z %p_features_12_0_weight_bias : [num_users=1] = placeholder[target=p_features_12_0_weight_bias] 2024-06-26T05:16:39.1676671Z %p_classifier_0_bias : [num_users=1] = placeholder[target=p_classifier_0_bias] 2024-06-26T05:16:39.1677454Z %p_classifier_3_bias : [num_users=1] = placeholder[target=p_classifier_3_bias] 2024-06-26T05:16:39.1678418Z %b__frozen_param0 : [num_users=1] = placeholder[target=b__frozen_param0] 2024-06-26T05:16:39.1679149Z %b__frozen_param1 : [num_users=1] = placeholder[target=b__frozen_param1] 2024-06-26T05:16:39.1679857Z %b__frozen_param2 : [num_users=1] = placeholder[target=b__frozen_param2] 2024-06-26T05:16:39.1680623Z %b__frozen_param3 : [num_users=1] = placeholder[target=b__frozen_param3] 2024-06-26T05:16:39.1681340Z %b__frozen_param4 : [num_users=1] = placeholder[target=b__frozen_param4] 2024-06-26T05:16:39.1682042Z %b__frozen_param5 : [num_users=1] = placeholder[target=b__frozen_param5] 2024-06-26T05:16:39.1682752Z %b__frozen_param6 : [num_users=1] = placeholder[target=b__frozen_param6] 2024-06-26T05:16:39.1683465Z %b__frozen_param7 : [num_users=1] = placeholder[target=b__frozen_param7] 2024-06-26T05:16:39.1684162Z %b__frozen_param8 : [num_users=1] = placeholder[target=b__frozen_param8] 2024-06-26T05:16:39.1684865Z %b__frozen_param9 : [num_users=1] = placeholder[target=b__frozen_param9] 2024-06-26T05:16:39.1685590Z %b__frozen_param10 : [num_users=1] = placeholder[target=b__frozen_param10] 2024-06-26T05:16:39.1686309Z %b__frozen_param11 : [num_users=1] = placeholder[target=b__frozen_param11] 2024-06-26T05:16:39.1687027Z %b__frozen_param12 : [num_users=1] = placeholder[target=b__frozen_param12] 2024-06-26T05:16:39.1687746Z %b__frozen_param13 : [num_users=1] = placeholder[target=b__frozen_param13] 2024-06-26T05:16:39.1688471Z %b__frozen_param14 : [num_users=1] = placeholder[target=b__frozen_param14] 2024-06-26T05:16:39.1689177Z %b__frozen_param15 : [num_users=1] = placeholder[target=b__frozen_param15] 2024-06-26T05:16:39.1689893Z %b__frozen_param16 : [num_users=1] = placeholder[target=b__frozen_param16] 2024-06-26T05:16:39.1690658Z %b__frozen_param17 : [num_users=1] = placeholder[target=b__frozen_param17] 2024-06-26T05:16:39.1691370Z %b__frozen_param18 : [num_users=1] = placeholder[target=b__frozen_param18] 2024-06-26T05:16:39.1692093Z %b__frozen_param19 : [num_users=1] = placeholder[target=b__frozen_param19] 2024-06-26T05:16:39.1692809Z %b__frozen_param20 : [num_users=1] = placeholder[target=b__frozen_param20] 2024-06-26T05:16:39.1693569Z %b__frozen_param21 : [num_users=1] = placeholder[target=b__frozen_param21] 2024-06-26T05:16:39.1694278Z %b__frozen_param22 : [num_users=1] = placeholder[target=b__frozen_param22] 2024-06-26T05:16:39.1695002Z %b__frozen_param23 : [num_users=1] = placeholder[target=b__frozen_param23] 2024-06-26T05:16:39.1695722Z %b__frozen_param24 : [num_users=1] = placeholder[target=b__frozen_param24] 2024-06-26T05:16:39.1696417Z %b__frozen_param25 : [num_users=1] = placeholder[target=b__frozen_param25] 2024-06-26T05:16:39.1697139Z %b__frozen_param26 : [num_users=1] = placeholder[target=b__frozen_param26] 2024-06-26T05:16:39.1697863Z %b__frozen_param27 : [num_users=1] = placeholder[target=b__frozen_param27] 2024-06-26T05:16:39.1698563Z %b__frozen_param28 : [num_users=1] = placeholder[target=b__frozen_param28] 2024-06-26T05:16:39.1699282Z %b__frozen_param29 : [num_users=1] = placeholder[target=b__frozen_param29] 2024-06-26T05:16:39.1700071Z %b__frozen_param30 : [num_users=1] = placeholder[target=b__frozen_param30] 2024-06-26T05:16:39.1700795Z %b__frozen_param31 : [num_users=1] = placeholder[target=b__frozen_param31] 2024-06-26T05:16:39.1701496Z %b__frozen_param32 : [num_users=1] = placeholder[target=b__frozen_param32] 2024-06-26T05:16:39.1702264Z %b__frozen_param33 : [num_users=1] = placeholder[target=b__frozen_param33] 2024-06-26T05:16:39.1702984Z %b__frozen_param34 : [num_users=1] = placeholder[target=b__frozen_param34] 2024-06-26T05:16:39.1703685Z %b__frozen_param35 : [num_users=1] = placeholder[target=b__frozen_param35] 2024-06-26T05:16:39.1704401Z %b__frozen_param36 : [num_users=1] = placeholder[target=b__frozen_param36] 2024-06-26T05:16:39.1705110Z %b__frozen_param37 : [num_users=1] = placeholder[target=b__frozen_param37] 2024-06-26T05:16:39.1705810Z %b__frozen_param38 : [num_users=1] = placeholder[target=b__frozen_param38] 2024-06-26T05:16:39.1706526Z %b__frozen_param39 : [num_users=1] = placeholder[target=b__frozen_param39] 2024-06-26T05:16:39.1707246Z %b__frozen_param40 : [num_users=1] = placeholder[target=b__frozen_param40] 2024-06-26T05:16:39.1708026Z %b__frozen_param41 : [num_users=1] = placeholder[target=b__frozen_param41] 2024-06-26T05:16:39.1708734Z %b__frozen_param42 : [num_users=1] = placeholder[target=b__frozen_param42] 2024-06-26T05:16:39.1709450Z %b__frozen_param43 : [num_users=1] = placeholder[target=b__frozen_param43] 2024-06-26T05:16:39.1710167Z %b__frozen_param44 : [num_users=1] = placeholder[target=b__frozen_param44] 2024-06-26T05:16:39.1710873Z %b__frozen_param45 : [num_users=1] = placeholder[target=b__frozen_param45] 2024-06-26T05:16:39.1711593Z %b__frozen_param46 : [num_users=1] = placeholder[target=b__frozen_param46] 2024-06-26T05:16:39.1712316Z %b__frozen_param47 : [num_users=1] = placeholder[target=b__frozen_param47] 2024-06-26T05:16:39.1713019Z %b__frozen_param48 : [num_users=1] = placeholder[target=b__frozen_param48] 2024-06-26T05:16:39.1713737Z %b__frozen_param49 : [num_users=1] = placeholder[target=b__frozen_param49] 2024-06-26T05:16:39.1714458Z %b__frozen_param50 : [num_users=1] = placeholder[target=b__frozen_param50] 2024-06-26T05:16:39.1715170Z %b__frozen_param51 : [num_users=1] = placeholder[target=b__frozen_param51] 2024-06-26T05:16:39.1715870Z %b__frozen_param52 : [num_users=1] = placeholder[target=b__frozen_param52] 2024-06-26T05:16:39.1716584Z %b__frozen_param53 : [num_users=1] = placeholder[target=b__frozen_param53] 2024-06-26T05:16:39.1717182Z %x : [num_users=1] = placeholder[target=x] 2024-06-26T05:16:39.1718841Z %quantize_per_tensor : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%x, 0.031035112217068672, 1, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1721044Z %dequantize_per_tensor : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor, 0.031035112217068672, 1, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1723372Z %dequantize_per_tensor_1 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param0, 0.13800540566444397, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1725388Z %conv2d : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor, %dequantize_per_tensor_1, %p_features_0_0_weight_bias, [2, 2], [1, 1]), kwargs = {}) 2024-06-26T05:16:39.1727482Z %quantize_per_tensor_1 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d, 0.9651816487312317, -9, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1729691Z %dequantize_per_tensor_2 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_1, 0.9651816487312317, -9, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1731446Z %hardswish : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_2,), kwargs = {}) 2024-06-26T05:16:39.1733300Z %quantize_per_tensor_2 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish, 0.4643757939338684, -127, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1735594Z %dequantize_per_tensor_3 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_2, 0.4643757939338684, -127, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1737866Z %dequantize_per_tensor_4 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param1, 0.19347569346427917, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1740062Z %conv2d_1 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_3, %dequantize_per_tensor_4, %p_features_1_block_0_0_weight_bias, [2, 2], [1, 1], [1, 1], 16), kwargs = {}) 2024-06-26T05:16:39.1741727Z %relu : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_1,), kwargs = {}) 2024-06-26T05:16:39.1743419Z %quantize_per_tensor_3 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu, 0.03436274453997612, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1745651Z %dequantize_per_tensor_5 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_3, 0.03436274453997612, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1748005Z %dequantize_per_tensor_6 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_3, 0.03436274453997612, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1749900Z %adaptive_avg_pool2d : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_6, [1, 1]), kwargs = {}) 2024-06-26T05:16:39.1751922Z %quantize_per_tensor_4 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d, 0.03436274453997612, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1754237Z %dequantize_per_tensor_7 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_4, 0.03436274453997612, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1756546Z %dequantize_per_tensor_8 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param2, 0.000244140625, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1758662Z %conv2d_2 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_7, %dequantize_per_tensor_8, %p_features_1_block_1_fc1_bias), kwargs = {}) 2024-06-26T05:16:39.1760194Z %relu_1 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_2,), kwargs = {}) 2024-06-26T05:16:39.1761888Z %quantize_per_tensor_5 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_1, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1764091Z %dequantize_per_tensor_9 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_5, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1766328Z %dequantize_per_tensor_10 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param3, 0.000244140625, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1768373Z %conv2d_3 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_9, %dequantize_per_tensor_10, %p_features_1_block_1_fc2_bias), kwargs = {}) 2024-06-26T05:16:39.1770463Z %quantize_per_tensor_6 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_3, 0.009770921431481838, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1772774Z %dequantize_per_tensor_11 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_6, 0.009770921431481838, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1774580Z %hardsigmoid : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%dequantize_per_tensor_11,), kwargs = {}) 2024-06-26T05:16:39.1776474Z %quantize_per_tensor_7 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardsigmoid, 0.0028459904715418816, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1778939Z %dequantize_per_tensor_12 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_7, 0.0028459904715418816, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1780836Z %mul : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%dequantize_per_tensor_12, %dequantize_per_tensor_5), kwargs = {}) 2024-06-26T05:16:39.1782711Z %quantize_per_tensor_8 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%mul, 0.014888710342347622, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1784966Z %dequantize_per_tensor_13 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_8, 0.014888710342347622, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1787271Z %dequantize_per_tensor_14 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param4, 0.0519644133746624, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1789406Z %conv2d_4 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_13, %dequantize_per_tensor_14, %p_features_1_block_2_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.1791508Z %quantize_per_tensor_9 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_4, 0.09257742017507553, -8, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1793813Z %dequantize_per_tensor_15 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_9, 0.09257742017507553, -8, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1796111Z %dequantize_per_tensor_16 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param5, 0.007365490775555372, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1798232Z %conv2d_5 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_15, %dequantize_per_tensor_16, %p_features_2_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.1799750Z %relu_2 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_5,), kwargs = {}) 2024-06-26T05:16:39.1801462Z %quantize_per_tensor_10 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_2, 0.0373108796775341, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1803719Z %dequantize_per_tensor_17 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_10, 0.0373108796775341, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1806001Z %dequantize_per_tensor_18 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param6, 0.10758370906114578, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1808171Z %conv2d_6 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_17, %dequantize_per_tensor_18, %p_features_2_block_1_0_weight_bias, [2, 2], [1, 1], [1, 1], 72), kwargs = {}) 2024-06-26T05:16:39.1809786Z %relu_3 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_6,), kwargs = {}) 2024-06-26T05:16:39.1811504Z %quantize_per_tensor_11 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_3, 0.03357680141925812, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1813769Z %dequantize_per_tensor_19 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_11, 0.03357680141925812, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1816142Z %dequantize_per_tensor_20 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param7, 0.014249389991164207, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1818150Z %conv2d_7 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_19, %dequantize_per_tensor_20, %p_features_2_block_2_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.1820317Z %quantize_per_tensor_12 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_7, 0.06221385300159454, 45, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1822573Z %dequantize_per_tensor_21 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_12, 0.06221385300159454, 45, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1824919Z %dequantize_per_tensor_22 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_12, 0.06221385300159454, 45, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1827201Z %dequantize_per_tensor_23 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param8, 0.00496926112100482, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1829248Z %conv2d_8 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_22, %dequantize_per_tensor_23, %p_features_3_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.1830745Z %relu_4 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_8,), kwargs = {}) 2024-06-26T05:16:39.1832458Z %quantize_per_tensor_13 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_4, 0.01478066947311163, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1834777Z %dequantize_per_tensor_24 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_13, 0.01478066947311163, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1837076Z %dequantize_per_tensor_25 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param9, 0.08777822554111481, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1839365Z %conv2d_9 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_24, %dequantize_per_tensor_25, %p_features_3_block_1_0_weight_bias, [1, 1], [1, 1], [1, 1], 88), kwargs = {}) 2024-06-26T05:16:39.1840986Z %relu_5 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_9,), kwargs = {}) 2024-06-26T05:16:39.1842705Z %quantize_per_tensor_14 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_5, 0.016218874603509903, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1845010Z %dequantize_per_tensor_26 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_14, 0.016218874603509903, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1847328Z %dequantize_per_tensor_27 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param10, 0.018993781879544258, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1849345Z %conv2d_10 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_26, %dequantize_per_tensor_27, %p_features_3_block_2_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.1851504Z %quantize_per_tensor_15 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_10, 0.054124411195516586, -20, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1853972Z %dequantize_per_tensor_28 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_15, 0.054124411195516586, -20, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1855790Z %add : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dequantize_per_tensor_28, %dequantize_per_tensor_21), kwargs = {}) 2024-06-26T05:16:39.1857653Z %quantize_per_tensor_16 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%add, 0.08242182433605194, 11, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1859961Z %dequantize_per_tensor_29 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_16, 0.08242182433605194, 11, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1862286Z %dequantize_per_tensor_30 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param11, 0.01391826756298542, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1864297Z %conv2d_11 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_29, %dequantize_per_tensor_30, %p_features_4_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.1866444Z %quantize_per_tensor_17 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_11, 0.06612107902765274, 8, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1868768Z %dequantize_per_tensor_31 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_17, 0.06612107902765274, 8, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1870614Z %hardswish_1 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_31,), kwargs = {}) 2024-06-26T05:16:39.1872494Z %quantize_per_tensor_18 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_1, 0.032392363995313644, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1874794Z %dequantize_per_tensor_32 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_18, 0.032392363995313644, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1877101Z %dequantize_per_tensor_33 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param12, 0.12695422768592834, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1879335Z %conv2d_12 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_32, %dequantize_per_tensor_33, %p_features_4_block_1_0_weight_bias, [2, 2], [2, 2], [1, 1], 96), kwargs = {}) 2024-06-26T05:16:39.1881576Z %quantize_per_tensor_19 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_12, 0.04804250970482826, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1883888Z %dequantize_per_tensor_34 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_19, 0.04804250970482826, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1885674Z %hardswish_2 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_34,), kwargs = {}) 2024-06-26T05:16:39.1887544Z %quantize_per_tensor_20 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_2, 0.027695344761013985, -114, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1889882Z %dequantize_per_tensor_35 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_20, 0.027695344761013985, -114, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1892258Z %dequantize_per_tensor_36 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_20, 0.027695344761013985, -114, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1894172Z %adaptive_avg_pool2d_1 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_36, [1, 1]), kwargs = {}) 2024-06-26T05:16:39.1896221Z %quantize_per_tensor_21 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d_1, 0.027695344761013985, -114, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1898560Z %dequantize_per_tensor_37 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_21, 0.027695344761013985, -114, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1900960Z %dequantize_per_tensor_38 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param13, 0.023241082206368446, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1903020Z %conv2d_13 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_37, %dequantize_per_tensor_38, %p_features_4_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:16:39.1904524Z %relu_6 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_13,), kwargs = {}) 2024-06-26T05:16:39.1906200Z %quantize_per_tensor_22 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_6, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1908449Z %dequantize_per_tensor_39 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_22, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1910750Z %dequantize_per_tensor_40 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param14, 0.009259029291570187, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1912735Z %conv2d_14 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_39, %dequantize_per_tensor_40, %p_features_4_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:16:39.1914827Z %quantize_per_tensor_23 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_14, 0.012354371137917042, 25, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1917077Z %dequantize_per_tensor_41 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_23, 0.012354371137917042, 25, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1919017Z %hardsigmoid_1 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%dequantize_per_tensor_41,), kwargs = {}) 2024-06-26T05:16:39.1920961Z %quantize_per_tensor_24 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardsigmoid_1, 0.0027818952221423388, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1923290Z %dequantize_per_tensor_42 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_24, 0.0027818952221423388, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1925140Z %mul_1 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%dequantize_per_tensor_42, %dequantize_per_tensor_35), kwargs = {}) 2024-06-26T05:16:39.1927087Z %quantize_per_tensor_25 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%mul_1, 0.015911469236016273, -114, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1929350Z %dequantize_per_tensor_43 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_25, 0.015911469236016273, -114, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1931674Z %dequantize_per_tensor_44 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param15, 0.009915303438901901, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1933685Z %conv2d_15 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_43, %dequantize_per_tensor_44, %p_features_4_block_3_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.1935797Z %quantize_per_tensor_26 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_15, 0.023397967219352722, 2, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1938044Z %dequantize_per_tensor_45 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_26, 0.023397967219352722, 2, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1940491Z %dequantize_per_tensor_46 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_26, 0.023397967219352722, 2, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1942788Z %dequantize_per_tensor_47 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param16, 0.009469963610172272, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1944847Z %conv2d_16 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_46, %dequantize_per_tensor_47, %p_features_5_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.1946959Z %quantize_per_tensor_27 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_16, 0.030264077708125114, 53, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1949207Z %dequantize_per_tensor_48 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_27, 0.030264077708125114, 53, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1950998Z %hardswish_3 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_48,), kwargs = {}) 2024-06-26T05:16:39.1952869Z %quantize_per_tensor_28 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_3, 0.010615072213113308, -93, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1955164Z %dequantize_per_tensor_49 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_28, 0.010615072213113308, -93, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1957496Z %dequantize_per_tensor_50 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param17, 0.29110556840896606, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1959707Z %conv2d_17 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_49, %dequantize_per_tensor_50, %p_features_5_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 240), kwargs = {}) 2024-06-26T05:16:39.1961941Z %quantize_per_tensor_29 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_17, 0.04241267591714859, -9, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1964254Z %dequantize_per_tensor_51 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_29, 0.04241267591714859, -9, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1966045Z %hardswish_4 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_51,), kwargs = {}) 2024-06-26T05:16:39.1967918Z %quantize_per_tensor_30 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_4, 0.024311522021889687, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1970221Z %dequantize_per_tensor_52 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_30, 0.024311522021889687, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1972583Z %dequantize_per_tensor_53 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_30, 0.024311522021889687, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1974507Z %adaptive_avg_pool2d_2 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_53, [1, 1]), kwargs = {}) 2024-06-26T05:16:39.1976604Z %quantize_per_tensor_31 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d_2, 0.024311522021889687, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1978932Z %dequantize_per_tensor_54 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_31, 0.024311522021889687, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1981322Z %dequantize_per_tensor_55 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param18, 0.02302936650812626, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1983354Z %conv2d_18 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_54, %dequantize_per_tensor_55, %p_features_5_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:16:39.1984851Z %relu_7 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_18,), kwargs = {}) 2024-06-26T05:16:39.1986587Z %quantize_per_tensor_32 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_7, 0.015174000523984432, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1988843Z %dequantize_per_tensor_56 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_32, 0.015174000523984432, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1991180Z %dequantize_per_tensor_57 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param19, 0.024587249383330345, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1993222Z %conv2d_19 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_56, %dequantize_per_tensor_57, %p_features_5_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:16:39.1995309Z %quantize_per_tensor_33 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_19, 0.03577641397714615, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1997558Z %dequantize_per_tensor_58 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_33, 0.03577641397714615, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.1999448Z %hardsigmoid_2 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%dequantize_per_tensor_58,), kwargs = {}) 2024-06-26T05:16:39.2001677Z %quantize_per_tensor_34 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardsigmoid_2, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2004007Z %dequantize_per_tensor_59 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_34, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2005856Z %mul_2 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%dequantize_per_tensor_59, %dequantize_per_tensor_52), kwargs = {}) 2024-06-26T05:16:39.2007725Z %quantize_per_tensor_35 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%mul_2, 0.004744516685605049, -49, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2009986Z %dequantize_per_tensor_60 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_35, 0.004744516685605049, -49, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2012297Z %dequantize_per_tensor_61 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param20, 0.03421241044998169, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2014351Z %conv2d_20 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_60, %dequantize_per_tensor_61, %p_features_5_block_3_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.2016470Z %quantize_per_tensor_36 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_20, 0.02010633796453476, -34, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2018763Z %dequantize_per_tensor_62 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_36, 0.02010633796453476, -34, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2020673Z %add_1 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dequantize_per_tensor_62, %dequantize_per_tensor_45), kwargs = {}) 2024-06-26T05:16:39.2022561Z %quantize_per_tensor_37 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%add_1, 0.03142682462930679, -18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2024810Z %dequantize_per_tensor_63 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_37, 0.03142682462930679, -18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2027163Z %dequantize_per_tensor_64 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_37, 0.03142682462930679, -18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2029463Z %dequantize_per_tensor_65 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param21, 0.004709577653557062, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2031536Z %conv2d_21 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_64, %dequantize_per_tensor_65, %p_features_6_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.2033651Z %quantize_per_tensor_38 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_21, 0.024533459916710854, 50, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2035914Z %dequantize_per_tensor_66 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_38, 0.024533459916710854, 50, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2037731Z %hardswish_5 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_66,), kwargs = {}) 2024-06-26T05:16:39.2039691Z %quantize_per_tensor_39 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_5, 0.008677337318658829, -85, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2041970Z %dequantize_per_tensor_67 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_39, 0.008677337318658829, -85, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2044276Z %dequantize_per_tensor_68 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param22, 0.22559306025505066, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2046417Z %conv2d_22 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_67, %dequantize_per_tensor_68, %p_features_6_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 240), kwargs = {}) 2024-06-26T05:16:39.2048647Z %quantize_per_tensor_40 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_22, 0.048910126090049744, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2050932Z %dequantize_per_tensor_69 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_40, 0.048910126090049744, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2052712Z %hardswish_6 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_69,), kwargs = {}) 2024-06-26T05:16:39.2054585Z %quantize_per_tensor_41 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_6, 0.025781380012631416, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2056927Z %dequantize_per_tensor_70 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_41, 0.025781380012631416, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2059297Z %dequantize_per_tensor_71 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_41, 0.025781380012631416, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2061267Z %adaptive_avg_pool2d_3 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_71, [1, 1]), kwargs = {}) 2024-06-26T05:16:39.2063320Z %quantize_per_tensor_42 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d_3, 0.025781380012631416, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2065660Z %dequantize_per_tensor_72 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_42, 0.025781380012631416, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2068034Z %dequantize_per_tensor_73 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param23, 0.013339489698410034, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2070031Z %conv2d_23 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_72, %dequantize_per_tensor_73, %p_features_6_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:16:39.2071515Z %relu_8 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_23,), kwargs = {}) 2024-06-26T05:16:39.2073266Z %quantize_per_tensor_43 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_8, 0.007699207402765751, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2075543Z %dequantize_per_tensor_74 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_43, 0.007699207402765751, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2077958Z %dequantize_per_tensor_75 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param24, 0.020886452868580818, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2079952Z %conv2d_24 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_74, %dequantize_per_tensor_75, %p_features_6_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:16:39.2082053Z %quantize_per_tensor_44 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_24, 0.023070767521858215, 17, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2084326Z %dequantize_per_tensor_76 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_44, 0.023070767521858215, 17, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2086141Z %hardsigmoid_3 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%dequantize_per_tensor_76,), kwargs = {}) 2024-06-26T05:16:39.2088111Z %quantize_per_tensor_45 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardsigmoid_3, 0.00362548790872097, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2090393Z %dequantize_per_tensor_77 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_45, 0.00362548790872097, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2092279Z %mul_3 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%dequantize_per_tensor_77, %dequantize_per_tensor_70), kwargs = {}) 2024-06-26T05:16:39.2094164Z %quantize_per_tensor_46 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%mul_3, 0.006186653394252062, -75, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2096406Z %dequantize_per_tensor_78 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_46, 0.006186653394252062, -75, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2098713Z %dequantize_per_tensor_79 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param25, 0.03715989366173744, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2100767Z %conv2d_25 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_78, %dequantize_per_tensor_79, %p_features_6_block_3_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.2102873Z %quantize_per_tensor_47 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_25, 0.04069148376584053, -26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2105211Z %dequantize_per_tensor_80 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_47, 0.04069148376584053, -26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2107052Z %add_2 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dequantize_per_tensor_80, %dequantize_per_tensor_63), kwargs = {}) 2024-06-26T05:16:39.2108935Z %quantize_per_tensor_48 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%add_2, 0.04122285544872284, -28, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2111211Z %dequantize_per_tensor_81 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_48, 0.04122285544872284, -28, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2113537Z %dequantize_per_tensor_82 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param26, 0.008141666650772095, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2115537Z %conv2d_26 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_81, %dequantize_per_tensor_82, %p_features_7_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.2117644Z %quantize_per_tensor_49 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_26, 0.04015304520726204, -9, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2119968Z %dequantize_per_tensor_83 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_49, 0.04015304520726204, -9, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2121750Z %hardswish_7 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_83,), kwargs = {}) 2024-06-26T05:16:39.2123634Z %quantize_per_tensor_50 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_7, 0.02341550402343273, -112, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2125977Z %dequantize_per_tensor_84 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_50, 0.02341550402343273, -112, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2128296Z %dequantize_per_tensor_85 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param27, 0.24098145961761475, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2130446Z %conv2d_27 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_84, %dequantize_per_tensor_85, %p_features_7_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 120), kwargs = {}) 2024-06-26T05:16:39.2132675Z %quantize_per_tensor_51 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_27, 0.0408136323094368, -26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2134934Z %dequantize_per_tensor_86 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_51, 0.0408136323094368, -26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2136714Z %hardswish_8 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_86,), kwargs = {}) 2024-06-26T05:16:39.2138592Z %quantize_per_tensor_52 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_8, 0.02829105406999588, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2140966Z %dequantize_per_tensor_87 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_52, 0.02829105406999588, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2143329Z %dequantize_per_tensor_88 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_52, 0.02829105406999588, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2145239Z %adaptive_avg_pool2d_4 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_88, [1, 1]), kwargs = {}) 2024-06-26T05:16:39.2147335Z %quantize_per_tensor_53 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d_4, 0.02829105406999588, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2149674Z %dequantize_per_tensor_89 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_53, 0.02829105406999588, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2151983Z %dequantize_per_tensor_90 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param28, 0.02133479155600071, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2153972Z %conv2d_28 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_89, %dequantize_per_tensor_90, %p_features_7_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:16:39.2155469Z %relu_9 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_28,), kwargs = {}) 2024-06-26T05:16:39.2157187Z %quantize_per_tensor_54 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_9, 0.023547444492578506, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2159530Z %dequantize_per_tensor_91 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_54, 0.023547444492578506, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2161878Z %dequantize_per_tensor_92 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param29, 0.015290362760424614, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2163880Z %conv2d_29 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_91, %dequantize_per_tensor_92, %p_features_7_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:16:39.2166023Z %quantize_per_tensor_55 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_29, 0.03005356155335903, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2168275Z %dequantize_per_tensor_93 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_55, 0.03005356155335903, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2170088Z %hardsigmoid_4 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%dequantize_per_tensor_93,), kwargs = {}) 2024-06-26T05:16:39.2172004Z %quantize_per_tensor_56 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardsigmoid_4, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2174309Z %dequantize_per_tensor_94 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_56, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2176155Z %mul_4 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%dequantize_per_tensor_94, %dequantize_per_tensor_87), kwargs = {}) 2024-06-26T05:16:39.2178082Z %quantize_per_tensor_57 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%mul_4, 0.017186682671308517, -106, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2180378Z %dequantize_per_tensor_95 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_57, 0.017186682671308517, -106, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2182698Z %dequantize_per_tensor_96 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param30, 0.0081296656280756, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2184750Z %conv2d_30 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_95, %dequantize_per_tensor_96, %p_features_7_block_3_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.2186865Z %quantize_per_tensor_58 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_30, 0.025062335655093193, 8, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2189126Z %dequantize_per_tensor_97 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_58, 0.025062335655093193, 8, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2191450Z %dequantize_per_tensor_98 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_58, 0.025062335655093193, 8, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2193759Z %dequantize_per_tensor_99 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param31, 0.004416964948177338, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2195782Z %conv2d_31 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_98, %dequantize_per_tensor_99, %p_features_8_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.2198001Z %quantize_per_tensor_59 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_31, 0.028558459132909775, 6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2200274Z %dequantize_per_tensor_100 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_59, 0.028558459132909775, 6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2202069Z %hardswish_9 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_100,), kwargs = {}) 2024-06-26T05:16:39.2203997Z %quantize_per_tensor_60 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_9, 0.014968409202992916, -103, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2206296Z %dequantize_per_tensor_101 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_60, 0.014968409202992916, -103, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2208633Z %dequantize_per_tensor_102 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param32, 0.16769732534885406, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2210767Z %conv2d_32 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_101, %dequantize_per_tensor_102, %p_features_8_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 144), kwargs = {}) 2024-06-26T05:16:39.2213002Z %quantize_per_tensor_61 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_32, 0.05457872897386551, -46, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2215311Z %dequantize_per_tensor_103 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_61, 0.05457872897386551, -46, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2217124Z %hardswish_10 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_103,), kwargs = {}) 2024-06-26T05:16:39.2219020Z %quantize_per_tensor_62 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_10, 0.038513194769620895, -118, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2221454Z %dequantize_per_tensor_104 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_62, 0.038513194769620895, -118, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2223818Z %dequantize_per_tensor_105 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_62, 0.038513194769620895, -118, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2225752Z %adaptive_avg_pool2d_5 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_105, [1, 1]), kwargs = {}) 2024-06-26T05:16:39.2227806Z %quantize_per_tensor_63 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d_5, 0.038513194769620895, -118, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2230153Z %dequantize_per_tensor_106 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_63, 0.038513194769620895, -118, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2232491Z %dequantize_per_tensor_107 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param33, 0.012662169523537159, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2234476Z %conv2d_33 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_106, %dequantize_per_tensor_107, %p_features_8_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:16:39.2236025Z %relu_10 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_33,), kwargs = {}) 2024-06-26T05:16:39.2237759Z %quantize_per_tensor_64 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_10, 0.0068855322897434235, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2240153Z %dequantize_per_tensor_108 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_64, 0.0068855322897434235, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2242471Z %dequantize_per_tensor_109 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param34, 0.010558309964835644, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2244483Z %conv2d_34 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_108, %dequantize_per_tensor_109, %p_features_8_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:16:39.2246573Z %quantize_per_tensor_65 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_34, 0.02613234892487526, 2, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2248808Z %dequantize_per_tensor_110 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_65, 0.02613234892487526, 2, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2250678Z %hardsigmoid_5 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%dequantize_per_tensor_110,), kwargs = {}) 2024-06-26T05:16:39.2252601Z %quantize_per_tensor_66 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardsigmoid_5, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2254907Z %dequantize_per_tensor_111 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_66, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2256756Z %mul_5 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%dequantize_per_tensor_111, %dequantize_per_tensor_104), kwargs = {}) 2024-06-26T05:16:39.2258677Z %quantize_per_tensor_67 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%mul_5, 0.005491943098604679, -67, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2261048Z %dequantize_per_tensor_112 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_67, 0.005491943098604679, -67, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2263373Z %dequantize_per_tensor_113 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param35, 0.026196502149105072, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2265416Z %conv2d_35 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_112, %dequantize_per_tensor_113, %p_features_8_block_3_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.2267542Z %quantize_per_tensor_68 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_35, 0.02513938769698143, -28, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2269817Z %dequantize_per_tensor_114 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_68, 0.02513938769698143, -28, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2271644Z %add_3 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dequantize_per_tensor_114, %dequantize_per_tensor_97), kwargs = {}) 2024-06-26T05:16:39.2273550Z %quantize_per_tensor_69 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%add_3, 0.031132366508245468, 11, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2275805Z %dequantize_per_tensor_115 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_69, 0.031132366508245468, 11, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2278236Z %dequantize_per_tensor_116 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param36, 0.00884885061532259, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2280259Z %conv2d_36 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_115, %dequantize_per_tensor_116, %p_features_9_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.2282389Z %quantize_per_tensor_70 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_36, 0.03349317982792854, 16, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2284625Z %dequantize_per_tensor_117 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_70, 0.03349317982792854, 16, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2286436Z %hardswish_11 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_117,), kwargs = {}) 2024-06-26T05:16:39.2288366Z %quantize_per_tensor_71 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_11, 0.01609356887638569, -105, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2290660Z %dequantize_per_tensor_118 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_71, 0.01609356887638569, -105, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2292960Z %dequantize_per_tensor_119 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param37, 0.07351506501436234, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2295132Z %conv2d_37 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_118, %dequantize_per_tensor_119, %p_features_9_block_1_0_weight_bias, [2, 2], [2, 2], [1, 1], 288), kwargs = {}) 2024-06-26T05:16:39.2297378Z %quantize_per_tensor_72 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_37, 0.029148833826184273, 4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2299695Z %dequantize_per_tensor_120 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_72, 0.029148833826184273, 4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2301495Z %hardswish_12 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_120,), kwargs = {}) 2024-06-26T05:16:39.2303380Z %quantize_per_tensor_73 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_12, 0.015525054186582565, -104, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2305684Z %dequantize_per_tensor_121 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_73, 0.015525054186582565, -104, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2308069Z %dequantize_per_tensor_122 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_73, 0.015525054186582565, -104, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2310042Z %adaptive_avg_pool2d_6 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_122, [1, 1]), kwargs = {}) 2024-06-26T05:16:39.2312098Z %quantize_per_tensor_74 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d_6, 0.015525054186582565, -104, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2314469Z %dequantize_per_tensor_123 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_74, 0.015525054186582565, -104, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2316814Z %dequantize_per_tensor_124 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param38, 0.010171673260629177, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2318887Z %conv2d_38 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_123, %dequantize_per_tensor_124, %p_features_9_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:16:39.2320396Z %relu_11 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_38,), kwargs = {}) 2024-06-26T05:16:39.2322126Z %quantize_per_tensor_75 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_11, 0.008966333232820034, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2324455Z %dequantize_per_tensor_125 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_75, 0.008966333232820034, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2326775Z %dequantize_per_tensor_126 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param39, 0.009884593077003956, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2328768Z %conv2d_39 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_125, %dequantize_per_tensor_126, %p_features_9_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:16:39.2330870Z %quantize_per_tensor_76 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_39, 0.02220064029097557, -17, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2333184Z %dequantize_per_tensor_127 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_76, 0.02220064029097557, -17, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2335001Z %hardsigmoid_6 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%dequantize_per_tensor_127,), kwargs = {}) 2024-06-26T05:16:39.2336932Z %quantize_per_tensor_77 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardsigmoid_6, 0.003919826354831457, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2339242Z %dequantize_per_tensor_128 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_77, 0.003919826354831457, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2341166Z %mul_6 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%dequantize_per_tensor_128, %dequantize_per_tensor_121), kwargs = {}) 2024-06-26T05:16:39.2343044Z %quantize_per_tensor_78 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%mul_6, 0.004622971639037132, -53, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2345358Z %dequantize_per_tensor_129 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_78, 0.004622971639037132, -53, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2347692Z %dequantize_per_tensor_130 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param40, 0.009600795805454254, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2349716Z %conv2d_40 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_129, %dequantize_per_tensor_130, %p_features_9_block_3_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.2351903Z %quantize_per_tensor_79 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_40, 0.011377639137208462, -6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2354147Z %dequantize_per_tensor_131 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_79, 0.011377639137208462, -6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2356499Z %dequantize_per_tensor_132 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_79, 0.011377639137208462, -6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2358910Z %dequantize_per_tensor_133 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param41, 0.008772623725235462, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2361005Z %conv2d_41 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_132, %dequantize_per_tensor_133, %p_features_10_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.2363188Z %quantize_per_tensor_80 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_41, 0.019726678729057312, 36, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2365461Z %dequantize_per_tensor_134 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_80, 0.019726678729057312, 36, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2367262Z %hardswish_13 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_134,), kwargs = {}) 2024-06-26T05:16:39.2369187Z %quantize_per_tensor_81 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_13, 0.008218232542276382, -82, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2371480Z %dequantize_per_tensor_135 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_81, 0.008218232542276382, -82, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2373820Z %dequantize_per_tensor_136 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param42, 0.14382794499397278, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2375959Z %conv2d_42 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_135, %dequantize_per_tensor_136, %p_features_10_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 576), kwargs = {}) 2024-06-26T05:16:39.2378215Z %quantize_per_tensor_82 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_42, 0.030605250969529152, 33, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2380545Z %dequantize_per_tensor_137 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_82, 0.030605250969529152, 33, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2382350Z %hardswish_14 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_137,), kwargs = {}) 2024-06-26T05:16:39.2384299Z %quantize_per_tensor_83 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_14, 0.012795067392289639, -99, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2386588Z %dequantize_per_tensor_138 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_83, 0.012795067392289639, -99, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2389022Z %dequantize_per_tensor_139 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_83, 0.012795067392289639, -99, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2390952Z %adaptive_avg_pool2d_7 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_139, [1, 1]), kwargs = {}) 2024-06-26T05:16:39.2393006Z %quantize_per_tensor_84 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d_7, 0.012795067392289639, -99, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2395344Z %dequantize_per_tensor_140 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_84, 0.012795067392289639, -99, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2397654Z %dequantize_per_tensor_141 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param43, 0.012263336218893528, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2399764Z %conv2d_43 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_140, %dequantize_per_tensor_141, %p_features_10_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:16:39.2401283Z %relu_12 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_43,), kwargs = {}) 2024-06-26T05:16:39.2403022Z %quantize_per_tensor_85 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_12, 0.013059389777481556, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2405335Z %dequantize_per_tensor_142 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_85, 0.013059389777481556, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2407660Z %dequantize_per_tensor_143 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param44, 0.018498629331588745, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2409666Z %conv2d_44 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_142, %dequantize_per_tensor_143, %p_features_10_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:16:39.2411769Z %quantize_per_tensor_86 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_44, 0.02821929380297661, 22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2414025Z %dequantize_per_tensor_144 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_86, 0.02821929380297661, 22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2415848Z %hardsigmoid_7 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%dequantize_per_tensor_144,), kwargs = {}) 2024-06-26T05:16:39.2417761Z %quantize_per_tensor_87 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardsigmoid_7, 0.003906350117176771, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2420162Z %dequantize_per_tensor_145 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_87, 0.003906350117176771, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2422014Z %mul_7 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%dequantize_per_tensor_145, %dequantize_per_tensor_138), kwargs = {}) 2024-06-26T05:16:39.2423949Z %quantize_per_tensor_88 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%mul_7, 0.0033363965339958668, -16, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2426189Z %dequantize_per_tensor_146 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_88, 0.0033363965339958668, -16, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2428517Z %dequantize_per_tensor_147 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param45, 0.018573224544525146, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2430538Z %conv2d_45 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_146, %dequantize_per_tensor_147, %p_features_10_block_3_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.2432667Z %quantize_per_tensor_89 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_45, 0.009780419990420341, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2434988Z %dequantize_per_tensor_148 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_89, 0.009780419990420341, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2436810Z %add_4 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dequantize_per_tensor_148, %dequantize_per_tensor_131), kwargs = {}) 2024-06-26T05:16:39.2438753Z %quantize_per_tensor_90 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%add_4, 0.01390751451253891, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2440998Z %dequantize_per_tensor_149 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_90, 0.01390751451253891, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2443380Z %dequantize_per_tensor_150 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_90, 0.01390751451253891, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2445700Z %dequantize_per_tensor_151 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param46, 0.00417760293930769, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2447702Z %conv2d_46 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_150, %dequantize_per_tensor_151, %p_features_11_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.2449836Z %quantize_per_tensor_91 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_46, 0.019525067880749702, 39, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2452117Z %dequantize_per_tensor_152 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_91, 0.019525067880749702, 39, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2453916Z %hardswish_15 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_152,), kwargs = {}) 2024-06-26T05:16:39.2455852Z %quantize_per_tensor_92 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_15, 0.0067838034592568874, -73, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2458140Z %dequantize_per_tensor_153 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_92, 0.0067838034592568874, -73, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2460532Z %dequantize_per_tensor_154 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param47, 0.14140361547470093, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2462719Z %conv2d_47 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_153, %dequantize_per_tensor_154, %p_features_11_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 576), kwargs = {}) 2024-06-26T05:16:39.2464963Z %quantize_per_tensor_93 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_47, 0.02423640340566635, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2467211Z %dequantize_per_tensor_155 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_93, 0.02423640340566635, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2468999Z %hardswish_16 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_155,), kwargs = {}) 2024-06-26T05:16:39.2470897Z %quantize_per_tensor_94 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_16, 0.013925882056355476, -101, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2473241Z %dequantize_per_tensor_156 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_94, 0.013925882056355476, -101, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2475610Z %dequantize_per_tensor_157 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_94, 0.013925882056355476, -101, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2477515Z %adaptive_avg_pool2d_8 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_157, [1, 1]), kwargs = {}) 2024-06-26T05:16:39.2479681Z %quantize_per_tensor_95 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d_8, 0.013925882056355476, -101, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2482036Z %dequantize_per_tensor_158 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_95, 0.013925882056355476, -101, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2484380Z %dequantize_per_tensor_159 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param48, 0.009612107649445534, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2486392Z %conv2d_48 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_158, %dequantize_per_tensor_159, %p_features_11_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:16:39.2487901Z %relu_13 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_48,), kwargs = {}) 2024-06-26T05:16:39.2489626Z %quantize_per_tensor_96 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_13, 0.011333034373819828, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2491899Z %dequantize_per_tensor_160 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_96, 0.011333034373819828, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2494276Z %dequantize_per_tensor_161 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param49, 0.01122909877449274, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2496264Z %conv2d_49 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_160, %dequantize_per_tensor_161, %p_features_11_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:16:39.2498373Z %quantize_per_tensor_97 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_49, 0.025972450152039528, 42, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2500712Z %dequantize_per_tensor_162 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_97, 0.025972450152039528, 42, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2502549Z %hardsigmoid_8 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%dequantize_per_tensor_162,), kwargs = {}) 2024-06-26T05:16:39.2504486Z %quantize_per_tensor_98 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardsigmoid_8, 0.003404785878956318, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2506797Z %dequantize_per_tensor_163 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_98, 0.003404785878956318, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2508678Z %mul_8 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%dequantize_per_tensor_163, %dequantize_per_tensor_156), kwargs = {}) 2024-06-26T05:16:39.2510571Z %quantize_per_tensor_99 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%mul_8, 0.0035743992775678635, -38, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2512833Z %dequantize_per_tensor_164 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_99, 0.0035743992775678635, -38, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2515160Z %dequantize_per_tensor_165 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param50, 0.020246243104338646, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2517246Z %conv2d_50 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_164, %dequantize_per_tensor_165, %p_features_11_block_3_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.2519468Z %quantize_per_tensor_100 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_50, 0.012693964876234531, -26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2521758Z %dequantize_per_tensor_166 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_100, 0.012693964876234531, -26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2523614Z %add_5 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dequantize_per_tensor_166, %dequantize_per_tensor_149), kwargs = {}) 2024-06-26T05:16:39.2525503Z %quantize_per_tensor_101 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%add_5, 0.01864243857562542, -6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2527766Z %dequantize_per_tensor_167 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_101, 0.01864243857562542, -6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2530127Z %dequantize_per_tensor_168 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param51, 0.009127296507358551, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2532119Z %conv2d_51 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_167, %dequantize_per_tensor_168, %p_features_12_0_weight_bias), kwargs = {}) 2024-06-26T05:16:39.2534213Z %quantize_per_tensor_102 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_51, 0.04580980911850929, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2536506Z %dequantize_per_tensor_169 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_102, 0.04580980911850929, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2538313Z %hardswish_17 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_169,), kwargs = {}) 2024-06-26T05:16:39.2540254Z %quantize_per_tensor_103 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_17, 0.020274875685572624, -110, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2542573Z %dequantize_per_tensor_170 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_103, 0.020274875685572624, -110, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2544509Z %adaptive_avg_pool2d_9 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_170, [1, 1]), kwargs = {}) 2024-06-26T05:16:39.2546623Z %quantize_per_tensor_104 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d_9, 0.020274875685572624, -110, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2548963Z %dequantize_per_tensor_171 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_104, 0.020274875685572624, -110, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2550746Z %view : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_tensor_171, [1, 576]), kwargs = {}) 2024-06-26T05:16:39.2552611Z %quantize_per_tensor_105 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%view, 0.020274875685572624, -110, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2554906Z %dequantize_per_tensor_172 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_105, 0.020274875685572624, -110, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2557251Z %dequantize_per_tensor_173 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param52, 0.01189471036195755, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2559251Z %linear : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dequantize_per_tensor_172, %dequantize_per_tensor_173, %p_classifier_0_bias), kwargs = {}) 2024-06-26T05:16:39.2561290Z %quantize_per_tensor_106 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%linear, 0.027926508337259293, 52, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2563561Z %dequantize_per_tensor_174 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_106, 0.027926508337259293, 52, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2565371Z %hardswish_18 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_174,), kwargs = {}) 2024-06-26T05:16:39.2567307Z %quantize_per_tensor_107 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_18, 0.008509001694619656, -84, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2569604Z %dequantize_per_tensor_175 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_107, 0.008509001694619656, -84, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2571972Z %dequantize_per_tensor_176 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param53, 0.005898590665310621, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2573942Z %linear_1 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dequantize_per_tensor_175, %dequantize_per_tensor_176, %p_classifier_3_bias), kwargs = {}) 2024-06-26T05:16:39.2575987Z %quantize_per_tensor_108 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%linear_1, 0.03981552645564079, -26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2578253Z %dequantize_per_tensor_177 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_108, 0.03981552645564079, -26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:39.2579568Z return (dequantize_per_tensor_177,) 2024-06-26T05:16:43.0091741Z [INFO 2024-06-26 05:16:43,008 utils.py:63] Exported graph: 2024-06-26T05:16:43.0092538Z graph(): 2024-06-26T05:16:43.0093686Z %p_features_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_0_0_weight_bias] 2024-06-26T05:16:43.0095222Z %p_features_1_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_1_block_0_0_weight_bias] 2024-06-26T05:16:43.0096783Z %p_features_1_block_1_fc1_bias : [num_users=1] = placeholder[target=p_features_1_block_1_fc1_bias] 2024-06-26T05:16:43.0098348Z %p_features_1_block_1_fc2_bias : [num_users=1] = placeholder[target=p_features_1_block_1_fc2_bias] 2024-06-26T05:16:43.0160171Z %p_features_1_block_2_0_weight_bias : [num_users=1] = placeholder[target=p_features_1_block_2_0_weight_bias] 2024-06-26T05:16:43.0161909Z %p_features_2_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_2_block_0_0_weight_bias] 2024-06-26T05:16:43.0163911Z %p_features_2_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_2_block_1_0_weight_bias] 2024-06-26T05:16:43.0166052Z %p_features_2_block_2_0_weight_bias : [num_users=1] = placeholder[target=p_features_2_block_2_0_weight_bias] 2024-06-26T05:16:43.0167639Z %p_features_3_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_3_block_0_0_weight_bias] 2024-06-26T05:16:43.0169611Z %p_features_3_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_3_block_1_0_weight_bias] 2024-06-26T05:16:43.0171582Z %p_features_3_block_2_0_weight_bias : [num_users=1] = placeholder[target=p_features_3_block_2_0_weight_bias] 2024-06-26T05:16:43.0172768Z %p_features_4_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_4_block_0_0_weight_bias] 2024-06-26T05:16:43.0173793Z %p_features_4_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_4_block_1_0_weight_bias] 2024-06-26T05:16:43.0174785Z %p_features_4_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_4_block_2_fc1_bias] 2024-06-26T05:16:43.0175734Z %p_features_4_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_4_block_2_fc2_bias] 2024-06-26T05:16:43.0176735Z %p_features_4_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_4_block_3_0_weight_bias] 2024-06-26T05:16:43.0177772Z %p_features_5_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_5_block_0_0_weight_bias] 2024-06-26T05:16:43.0178800Z %p_features_5_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_5_block_1_0_weight_bias] 2024-06-26T05:16:43.0179976Z %p_features_5_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_5_block_2_fc1_bias] 2024-06-26T05:16:43.0180927Z %p_features_5_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_5_block_2_fc2_bias] 2024-06-26T05:16:43.0181911Z %p_features_5_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_5_block_3_0_weight_bias] 2024-06-26T05:16:43.0182993Z %p_features_6_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_6_block_0_0_weight_bias] 2024-06-26T05:16:43.0184021Z %p_features_6_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_6_block_1_0_weight_bias] 2024-06-26T05:16:43.0185025Z %p_features_6_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_6_block_2_fc1_bias] 2024-06-26T05:16:43.0185976Z %p_features_6_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_6_block_2_fc2_bias] 2024-06-26T05:16:43.0187393Z %p_features_6_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_6_block_3_0_weight_bias] 2024-06-26T05:16:43.0188427Z %p_features_7_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_7_block_0_0_weight_bias] 2024-06-26T05:16:43.0189449Z %p_features_7_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_7_block_1_0_weight_bias] 2024-06-26T05:16:43.0190454Z %p_features_7_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_7_block_2_fc1_bias] 2024-06-26T05:16:43.0191399Z %p_features_7_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_7_block_2_fc2_bias] 2024-06-26T05:16:43.0192452Z %p_features_7_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_7_block_3_0_weight_bias] 2024-06-26T05:16:43.0193476Z %p_features_8_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_8_block_0_0_weight_bias] 2024-06-26T05:16:43.0194486Z %p_features_8_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_8_block_1_0_weight_bias] 2024-06-26T05:16:43.0195475Z %p_features_8_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_8_block_2_fc1_bias] 2024-06-26T05:16:43.0196426Z %p_features_8_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_8_block_2_fc2_bias] 2024-06-26T05:16:43.0197420Z %p_features_8_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_8_block_3_0_weight_bias] 2024-06-26T05:16:43.0198918Z %p_features_9_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_9_block_0_0_weight_bias] 2024-06-26T05:16:43.0200862Z %p_features_9_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_9_block_1_0_weight_bias] 2024-06-26T05:16:43.0201857Z %p_features_9_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_9_block_2_fc1_bias] 2024-06-26T05:16:43.0203230Z %p_features_9_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_9_block_2_fc2_bias] 2024-06-26T05:16:43.0205152Z %p_features_9_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_9_block_3_0_weight_bias] 2024-06-26T05:16:43.0206902Z %p_features_10_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_10_block_0_0_weight_bias] 2024-06-26T05:16:43.0208605Z %p_features_10_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_10_block_1_0_weight_bias] 2024-06-26T05:16:43.0210292Z %p_features_10_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_10_block_2_fc1_bias] 2024-06-26T05:16:43.0211962Z %p_features_10_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_10_block_2_fc2_bias] 2024-06-26T05:16:43.0213703Z %p_features_10_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_10_block_3_0_weight_bias] 2024-06-26T05:16:43.0215338Z %p_features_11_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_11_block_0_0_weight_bias] 2024-06-26T05:16:43.0217112Z %p_features_11_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_11_block_1_0_weight_bias] 2024-06-26T05:16:43.0219074Z %p_features_11_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_11_block_2_fc1_bias] 2024-06-26T05:16:43.0220166Z %p_features_11_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_11_block_2_fc2_bias] 2024-06-26T05:16:43.0221187Z %p_features_11_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_11_block_3_0_weight_bias] 2024-06-26T05:16:43.0222217Z %p_features_12_0_weight_bias : [num_users=1] = placeholder[target=p_features_12_0_weight_bias] 2024-06-26T05:16:43.0223068Z %p_classifier_0_bias : [num_users=1] = placeholder[target=p_classifier_0_bias] 2024-06-26T05:16:43.0223847Z %p_classifier_3_bias : [num_users=1] = placeholder[target=p_classifier_3_bias] 2024-06-26T05:16:43.0224582Z %b__frozen_param0 : [num_users=1] = placeholder[target=b__frozen_param0] 2024-06-26T05:16:43.0225294Z %b__frozen_param1 : [num_users=1] = placeholder[target=b__frozen_param1] 2024-06-26T05:16:43.0226004Z %b__frozen_param2 : [num_users=1] = placeholder[target=b__frozen_param2] 2024-06-26T05:16:43.0226975Z %b__frozen_param3 : [num_users=1] = placeholder[target=b__frozen_param3] 2024-06-26T05:16:43.0227670Z %b__frozen_param4 : [num_users=1] = placeholder[target=b__frozen_param4] 2024-06-26T05:16:43.0228379Z %b__frozen_param5 : [num_users=1] = placeholder[target=b__frozen_param5] 2024-06-26T05:16:43.0229087Z %b__frozen_param6 : [num_users=1] = placeholder[target=b__frozen_param6] 2024-06-26T05:16:43.0229780Z %b__frozen_param7 : [num_users=1] = placeholder[target=b__frozen_param7] 2024-06-26T05:16:43.0230534Z %b__frozen_param8 : [num_users=1] = placeholder[target=b__frozen_param8] 2024-06-26T05:16:43.0231235Z %b__frozen_param9 : [num_users=1] = placeholder[target=b__frozen_param9] 2024-06-26T05:16:43.0231937Z %b__frozen_param10 : [num_users=1] = placeholder[target=b__frozen_param10] 2024-06-26T05:16:43.0232664Z %b__frozen_param11 : [num_users=1] = placeholder[target=b__frozen_param11] 2024-06-26T05:16:43.0233391Z %b__frozen_param12 : [num_users=1] = placeholder[target=b__frozen_param12] 2024-06-26T05:16:43.0234107Z %b__frozen_param13 : [num_users=1] = placeholder[target=b__frozen_param13] 2024-06-26T05:16:43.0234816Z %b__frozen_param14 : [num_users=1] = placeholder[target=b__frozen_param14] 2024-06-26T05:16:43.0235543Z %b__frozen_param15 : [num_users=1] = placeholder[target=b__frozen_param15] 2024-06-26T05:16:43.0236299Z %b__frozen_param16 : [num_users=1] = placeholder[target=b__frozen_param16] 2024-06-26T05:16:43.0237012Z %b__frozen_param17 : [num_users=1] = placeholder[target=b__frozen_param17] 2024-06-26T05:16:43.0237727Z %b__frozen_param18 : [num_users=1] = placeholder[target=b__frozen_param18] 2024-06-26T05:16:43.0238597Z %b__frozen_param19 : [num_users=1] = placeholder[target=b__frozen_param19] 2024-06-26T05:16:43.0239291Z %b__frozen_param20 : [num_users=1] = placeholder[target=b__frozen_param20] 2024-06-26T05:16:43.0240012Z %b__frozen_param21 : [num_users=1] = placeholder[target=b__frozen_param21] 2024-06-26T05:16:43.0240732Z %b__frozen_param22 : [num_users=1] = placeholder[target=b__frozen_param22] 2024-06-26T05:16:43.0241448Z %b__frozen_param23 : [num_users=1] = placeholder[target=b__frozen_param23] 2024-06-26T05:16:43.0242151Z %b__frozen_param24 : [num_users=1] = placeholder[target=b__frozen_param24] 2024-06-26T05:16:43.0242866Z %b__frozen_param25 : [num_users=1] = placeholder[target=b__frozen_param25] 2024-06-26T05:16:43.0243681Z %b__frozen_param26 : [num_users=1] = placeholder[target=b__frozen_param26] 2024-06-26T05:16:43.0244383Z %b__frozen_param27 : [num_users=1] = placeholder[target=b__frozen_param27] 2024-06-26T05:16:43.0245099Z %b__frozen_param28 : [num_users=1] = placeholder[target=b__frozen_param28] 2024-06-26T05:16:43.0245815Z %b__frozen_param29 : [num_users=1] = placeholder[target=b__frozen_param29] 2024-06-26T05:16:43.0246516Z %b__frozen_param30 : [num_users=1] = placeholder[target=b__frozen_param30] 2024-06-26T05:16:43.0247356Z %b__frozen_param31 : [num_users=1] = placeholder[target=b__frozen_param31] 2024-06-26T05:16:43.0248070Z %b__frozen_param32 : [num_users=1] = placeholder[target=b__frozen_param32] 2024-06-26T05:16:43.0248782Z %b__frozen_param33 : [num_users=1] = placeholder[target=b__frozen_param33] 2024-06-26T05:16:43.0249527Z %b__frozen_param34 : [num_users=1] = placeholder[target=b__frozen_param34] 2024-06-26T05:16:43.0250240Z %b__frozen_param35 : [num_users=1] = placeholder[target=b__frozen_param35] 2024-06-26T05:16:43.0250960Z %b__frozen_param36 : [num_users=1] = placeholder[target=b__frozen_param36] 2024-06-26T05:16:43.0251666Z %b__frozen_param37 : [num_users=1] = placeholder[target=b__frozen_param37] 2024-06-26T05:16:43.0252385Z %b__frozen_param38 : [num_users=1] = placeholder[target=b__frozen_param38] 2024-06-26T05:16:43.0253100Z %b__frozen_param39 : [num_users=1] = placeholder[target=b__frozen_param39] 2024-06-26T05:16:43.0253803Z %b__frozen_param40 : [num_users=1] = placeholder[target=b__frozen_param40] 2024-06-26T05:16:43.0254515Z %b__frozen_param41 : [num_users=1] = placeholder[target=b__frozen_param41] 2024-06-26T05:16:43.0255222Z %b__frozen_param42 : [num_users=1] = placeholder[target=b__frozen_param42] 2024-06-26T05:16:43.0255941Z %b__frozen_param43 : [num_users=1] = placeholder[target=b__frozen_param43] 2024-06-26T05:16:43.0256647Z %b__frozen_param44 : [num_users=1] = placeholder[target=b__frozen_param44] 2024-06-26T05:16:43.0257363Z %b__frozen_param45 : [num_users=1] = placeholder[target=b__frozen_param45] 2024-06-26T05:16:43.0258122Z %b__frozen_param46 : [num_users=1] = placeholder[target=b__frozen_param46] 2024-06-26T05:16:43.0258824Z %b__frozen_param47 : [num_users=1] = placeholder[target=b__frozen_param47] 2024-06-26T05:16:43.0259538Z %b__frozen_param48 : [num_users=1] = placeholder[target=b__frozen_param48] 2024-06-26T05:16:43.0260334Z %b__frozen_param49 : [num_users=1] = placeholder[target=b__frozen_param49] 2024-06-26T05:16:43.0261040Z %b__frozen_param50 : [num_users=1] = placeholder[target=b__frozen_param50] 2024-06-26T05:16:43.0261756Z %b__frozen_param51 : [num_users=1] = placeholder[target=b__frozen_param51] 2024-06-26T05:16:43.0262472Z %b__frozen_param52 : [num_users=1] = placeholder[target=b__frozen_param52] 2024-06-26T05:16:43.0263191Z %b__frozen_param53 : [num_users=1] = placeholder[target=b__frozen_param53] 2024-06-26T05:16:43.0264020Z %_lifted_tensor_constant54 : [num_users=1] = placeholder[target=_lifted_tensor_constant54] 2024-06-26T05:16:43.0264909Z %_lifted_tensor_constant55 : [num_users=1] = placeholder[target=_lifted_tensor_constant55] 2024-06-26T05:16:43.0265780Z %_lifted_tensor_constant56 : [num_users=1] = placeholder[target=_lifted_tensor_constant56] 2024-06-26T05:16:43.0266630Z %_lifted_tensor_constant57 : [num_users=1] = placeholder[target=_lifted_tensor_constant57] 2024-06-26T05:16:43.0267501Z %_lifted_tensor_constant58 : [num_users=1] = placeholder[target=_lifted_tensor_constant58] 2024-06-26T05:16:43.0268369Z %_lifted_tensor_constant59 : [num_users=1] = placeholder[target=_lifted_tensor_constant59] 2024-06-26T05:16:43.0269234Z %_lifted_tensor_constant60 : [num_users=1] = placeholder[target=_lifted_tensor_constant60] 2024-06-26T05:16:43.0270089Z %_lifted_tensor_constant61 : [num_users=1] = placeholder[target=_lifted_tensor_constant61] 2024-06-26T05:16:43.0270958Z %_lifted_tensor_constant62 : [num_users=1] = placeholder[target=_lifted_tensor_constant62] 2024-06-26T05:16:43.0271828Z %_lifted_tensor_constant63 : [num_users=1] = placeholder[target=_lifted_tensor_constant63] 2024-06-26T05:16:43.0272677Z %_lifted_tensor_constant64 : [num_users=1] = placeholder[target=_lifted_tensor_constant64] 2024-06-26T05:16:43.0273536Z %_lifted_tensor_constant65 : [num_users=1] = placeholder[target=_lifted_tensor_constant65] 2024-06-26T05:16:43.0274396Z %_lifted_tensor_constant66 : [num_users=1] = placeholder[target=_lifted_tensor_constant66] 2024-06-26T05:16:43.0275299Z %_lifted_tensor_constant67 : [num_users=1] = placeholder[target=_lifted_tensor_constant67] 2024-06-26T05:16:43.0276158Z %_lifted_tensor_constant68 : [num_users=1] = placeholder[target=_lifted_tensor_constant68] 2024-06-26T05:16:43.0277014Z %_lifted_tensor_constant69 : [num_users=1] = placeholder[target=_lifted_tensor_constant69] 2024-06-26T05:16:43.0278056Z %_lifted_tensor_constant70 : [num_users=1] = placeholder[target=_lifted_tensor_constant70] 2024-06-26T05:16:43.0278910Z %_lifted_tensor_constant71 : [num_users=1] = placeholder[target=_lifted_tensor_constant71] 2024-06-26T05:16:43.0279776Z %_lifted_tensor_constant72 : [num_users=1] = placeholder[target=_lifted_tensor_constant72] 2024-06-26T05:16:43.0280652Z %_lifted_tensor_constant73 : [num_users=1] = placeholder[target=_lifted_tensor_constant73] 2024-06-26T05:16:43.0281506Z %_lifted_tensor_constant74 : [num_users=1] = placeholder[target=_lifted_tensor_constant74] 2024-06-26T05:16:43.0282368Z %_lifted_tensor_constant75 : [num_users=1] = placeholder[target=_lifted_tensor_constant75] 2024-06-26T05:16:43.0283236Z %_lifted_tensor_constant76 : [num_users=1] = placeholder[target=_lifted_tensor_constant76] 2024-06-26T05:16:43.0284099Z %_lifted_tensor_constant77 : [num_users=1] = placeholder[target=_lifted_tensor_constant77] 2024-06-26T05:16:43.0284943Z %_lifted_tensor_constant78 : [num_users=1] = placeholder[target=_lifted_tensor_constant78] 2024-06-26T05:16:43.0285810Z %_lifted_tensor_constant79 : [num_users=1] = placeholder[target=_lifted_tensor_constant79] 2024-06-26T05:16:43.0286741Z %_lifted_tensor_constant80 : [num_users=1] = placeholder[target=_lifted_tensor_constant80] 2024-06-26T05:16:43.0287578Z %_lifted_tensor_constant81 : [num_users=1] = placeholder[target=_lifted_tensor_constant81] 2024-06-26T05:16:43.0288439Z %_lifted_tensor_constant82 : [num_users=1] = placeholder[target=_lifted_tensor_constant82] 2024-06-26T05:16:43.0289303Z %_lifted_tensor_constant83 : [num_users=1] = placeholder[target=_lifted_tensor_constant83] 2024-06-26T05:16:43.0290169Z %_lifted_tensor_constant84 : [num_users=1] = placeholder[target=_lifted_tensor_constant84] 2024-06-26T05:16:43.0291014Z %_lifted_tensor_constant85 : [num_users=1] = placeholder[target=_lifted_tensor_constant85] 2024-06-26T05:16:43.0291872Z %_lifted_tensor_constant86 : [num_users=1] = placeholder[target=_lifted_tensor_constant86] 2024-06-26T05:16:43.0292778Z %_lifted_tensor_constant87 : [num_users=1] = placeholder[target=_lifted_tensor_constant87] 2024-06-26T05:16:43.0293629Z %_lifted_tensor_constant88 : [num_users=1] = placeholder[target=_lifted_tensor_constant88] 2024-06-26T05:16:43.0294488Z %_lifted_tensor_constant89 : [num_users=1] = placeholder[target=_lifted_tensor_constant89] 2024-06-26T05:16:43.0295353Z %_lifted_tensor_constant90 : [num_users=1] = placeholder[target=_lifted_tensor_constant90] 2024-06-26T05:16:43.0296217Z %_lifted_tensor_constant91 : [num_users=1] = placeholder[target=_lifted_tensor_constant91] 2024-06-26T05:16:43.0297061Z %_lifted_tensor_constant92 : [num_users=1] = placeholder[target=_lifted_tensor_constant92] 2024-06-26T05:16:43.0297923Z %_lifted_tensor_constant93 : [num_users=1] = placeholder[target=_lifted_tensor_constant93] 2024-06-26T05:16:43.0298782Z %_lifted_tensor_constant94 : [num_users=1] = placeholder[target=_lifted_tensor_constant94] 2024-06-26T05:16:43.0299630Z %_lifted_tensor_constant95 : [num_users=1] = placeholder[target=_lifted_tensor_constant95] 2024-06-26T05:16:43.0300552Z %_lifted_tensor_constant96 : [num_users=1] = placeholder[target=_lifted_tensor_constant96] 2024-06-26T05:16:43.0301411Z %_lifted_tensor_constant97 : [num_users=1] = placeholder[target=_lifted_tensor_constant97] 2024-06-26T05:16:43.0302269Z %_lifted_tensor_constant98 : [num_users=1] = placeholder[target=_lifted_tensor_constant98] 2024-06-26T05:16:43.0303113Z %_lifted_tensor_constant99 : [num_users=1] = placeholder[target=_lifted_tensor_constant99] 2024-06-26T05:16:43.0304053Z %_lifted_tensor_constant100 : [num_users=1] = placeholder[target=_lifted_tensor_constant100] 2024-06-26T05:16:43.0304958Z %_lifted_tensor_constant101 : [num_users=1] = placeholder[target=_lifted_tensor_constant101] 2024-06-26T05:16:43.0305845Z %_lifted_tensor_constant102 : [num_users=1] = placeholder[target=_lifted_tensor_constant102] 2024-06-26T05:16:43.0306778Z %_lifted_tensor_constant103 : [num_users=1] = placeholder[target=_lifted_tensor_constant103] 2024-06-26T05:16:43.0307672Z %_lifted_tensor_constant104 : [num_users=1] = placeholder[target=_lifted_tensor_constant104] 2024-06-26T05:16:43.0308564Z %_lifted_tensor_constant105 : [num_users=1] = placeholder[target=_lifted_tensor_constant105] 2024-06-26T05:16:43.0309439Z %_lifted_tensor_constant106 : [num_users=1] = placeholder[target=_lifted_tensor_constant106] 2024-06-26T05:16:43.0310330Z %_lifted_tensor_constant107 : [num_users=1] = placeholder[target=_lifted_tensor_constant107] 2024-06-26T05:16:43.0311226Z %_lifted_tensor_constant108 : [num_users=1] = placeholder[target=_lifted_tensor_constant108] 2024-06-26T05:16:43.0312101Z %_lifted_tensor_constant109 : [num_users=1] = placeholder[target=_lifted_tensor_constant109] 2024-06-26T05:16:43.0312790Z %x : [num_users=1] = placeholder[target=x] 2024-06-26T05:16:43.0314556Z %quantized_decomposed_quantize_per_tensor_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%x, 0.031035112217068672, 1, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0317628Z %quantized_decomposed_dequantize_per_tensor_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default, 0.031035112217068672, 1, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0320799Z %quantized_decomposed_dequantize_per_tensor_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param0, 0.13800540566444397, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0323818Z %aten_convolution_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default, %quantized_decomposed_dequantize_per_tensor_default_1, %p_features_0_0_weight_bias, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0326964Z %quantized_decomposed_quantize_per_tensor_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default, 0.9651816487312317, -9, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0330043Z %quantized_decomposed_dequantize_per_tensor_default_2 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_1, 0.9651816487312317, -9, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0332503Z %aten__to_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant54,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.0334527Z %aten_add_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_2, %aten__to_copy_default), kwargs = {}) 2024-06-26T05:16:43.0336403Z %aten_clamp_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor, 0), kwargs = {}) 2024-06-26T05:16:43.0338121Z %aten_clamp_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default, None, 6), kwargs = {}) 2024-06-26T05:16:43.0340126Z %aten_mul_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_2, %aten_clamp_default_1), kwargs = {}) 2024-06-26T05:16:43.0342076Z %aten_div_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor, %_lifted_tensor_constant55), kwargs = {}) 2024-06-26T05:16:43.0344541Z %quantized_decomposed_quantize_per_tensor_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor, 0.4643757939338684, -127, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0347611Z %quantized_decomposed_dequantize_per_tensor_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_2, 0.4643757939338684, -127, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0350655Z %quantized_decomposed_dequantize_per_tensor_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param1, 0.19347569346427917, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0353632Z %aten_convolution_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_3, %quantized_decomposed_dequantize_per_tensor_default_4, %p_features_1_block_0_0_weight_bias, [2, 2], [1, 1], [1, 1], False, [0, 0], 16), kwargs = {}) 2024-06-26T05:16:43.0356169Z %aten_relu_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_1,), kwargs = {}) 2024-06-26T05:16:43.0358666Z %quantized_decomposed_quantize_per_tensor_default_3 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default, 0.03436274453997612, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0361782Z %quantized_decomposed_dequantize_per_tensor_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_3, 0.03436274453997612, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0365027Z %quantized_decomposed_dequantize_per_tensor_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_3, 0.03436274453997612, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0367697Z %aten_mean_dim : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_6, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:43.0370188Z %quantized_decomposed_quantize_per_tensor_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim, 0.03436274453997612, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0373246Z %quantized_decomposed_dequantize_per_tensor_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_4, 0.03436274453997612, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0376308Z %quantized_decomposed_dequantize_per_tensor_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param2, 0.000244140625, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0390462Z %aten_convolution_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_7, %quantized_decomposed_dequantize_per_tensor_default_8, %p_features_1_block_1_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0393187Z %aten_relu_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_2,), kwargs = {}) 2024-06-26T05:16:43.0395613Z %quantized_decomposed_quantize_per_tensor_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_1, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0398826Z %quantized_decomposed_dequantize_per_tensor_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_5, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0401849Z %quantized_decomposed_dequantize_per_tensor_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param3, 0.000244140625, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0404818Z %aten_convolution_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_9, %quantized_decomposed_dequantize_per_tensor_default_10, %p_features_1_block_1_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0408130Z %quantized_decomposed_quantize_per_tensor_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_3, 0.009770921431481838, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0411253Z %quantized_decomposed_dequantize_per_tensor_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_6, 0.009770921431481838, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0413783Z %aten__to_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant56,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.0415820Z %aten_add_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_11, %aten__to_copy_default_1), kwargs = {}) 2024-06-26T05:16:43.0417734Z %aten_clamp_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_1, 0), kwargs = {}) 2024-06-26T05:16:43.0419436Z %aten_clamp_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_2, None, 6), kwargs = {}) 2024-06-26T05:16:43.0421312Z %aten_div_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_3, %_lifted_tensor_constant57), kwargs = {}) 2024-06-26T05:16:43.0423780Z %quantized_decomposed_quantize_per_tensor_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_1, 0.0028459904715418816, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0426900Z %quantized_decomposed_dequantize_per_tensor_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_7, 0.0028459904715418816, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0429637Z %aten_mul_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_12, %quantized_decomposed_dequantize_per_tensor_default_5), kwargs = {}) 2024-06-26T05:16:43.0432432Z %quantized_decomposed_quantize_per_tensor_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_1, 0.014888710342347622, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0435500Z %quantized_decomposed_dequantize_per_tensor_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_8, 0.014888710342347622, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0438651Z %quantized_decomposed_dequantize_per_tensor_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param4, 0.0519644133746624, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0441655Z %aten_convolution_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_13, %quantized_decomposed_dequantize_per_tensor_default_14, %p_features_1_block_2_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0444938Z %quantized_decomposed_quantize_per_tensor_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_4, 0.09257742017507553, -8, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0448010Z %quantized_decomposed_dequantize_per_tensor_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_9, 0.09257742017507553, -8, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0451105Z %quantized_decomposed_dequantize_per_tensor_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param5, 0.007365490775555372, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0454116Z %aten_convolution_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_15, %quantized_decomposed_dequantize_per_tensor_default_16, %p_features_2_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0456621Z %aten_relu_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_5,), kwargs = {}) 2024-06-26T05:16:43.0459025Z %quantized_decomposed_quantize_per_tensor_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_2, 0.0373108796775341, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0462189Z %quantized_decomposed_dequantize_per_tensor_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_10, 0.0373108796775341, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0465291Z %quantized_decomposed_dequantize_per_tensor_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param6, 0.10758370906114578, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0468291Z %aten_convolution_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_17, %quantized_decomposed_dequantize_per_tensor_default_18, %p_features_2_block_1_0_weight_bias, [2, 2], [1, 1], [1, 1], False, [0, 0], 72), kwargs = {}) 2024-06-26T05:16:43.0470834Z %aten_relu_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_6,), kwargs = {}) 2024-06-26T05:16:43.0473237Z %quantized_decomposed_quantize_per_tensor_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_3, 0.03357680141925812, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0476351Z %quantized_decomposed_dequantize_per_tensor_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_11, 0.03357680141925812, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0479608Z %quantized_decomposed_dequantize_per_tensor_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param7, 0.014249389991164207, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0482684Z %aten_convolution_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_19, %quantized_decomposed_dequantize_per_tensor_default_20, %p_features_2_block_2_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0485902Z %quantized_decomposed_quantize_per_tensor_default_12 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_7, 0.06221385300159454, 45, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0489031Z %quantized_decomposed_dequantize_per_tensor_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_12, 0.06221385300159454, 45, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0492274Z %quantized_decomposed_dequantize_per_tensor_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_12, 0.06221385300159454, 45, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0495312Z %quantized_decomposed_dequantize_per_tensor_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param8, 0.00496926112100482, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0498313Z %aten_convolution_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_22, %quantized_decomposed_dequantize_per_tensor_default_23, %p_features_3_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0500877Z %aten_relu_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_8,), kwargs = {}) 2024-06-26T05:16:43.0503322Z %quantized_decomposed_quantize_per_tensor_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_4, 0.01478066947311163, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0506399Z %quantized_decomposed_dequantize_per_tensor_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_13, 0.01478066947311163, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0509489Z %quantized_decomposed_dequantize_per_tensor_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param9, 0.08777822554111481, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0512499Z %aten_convolution_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_24, %quantized_decomposed_dequantize_per_tensor_default_25, %p_features_3_block_1_0_weight_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 88), kwargs = {}) 2024-06-26T05:16:43.0515008Z %aten_relu_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_9,), kwargs = {}) 2024-06-26T05:16:43.0517408Z %quantized_decomposed_quantize_per_tensor_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_5, 0.016218874603509903, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0520740Z %quantized_decomposed_dequantize_per_tensor_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_14, 0.016218874603509903, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0523808Z %quantized_decomposed_dequantize_per_tensor_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param10, 0.018993781879544258, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0526857Z %aten_convolution_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_26, %quantized_decomposed_dequantize_per_tensor_default_27, %p_features_3_block_2_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0530108Z %quantized_decomposed_quantize_per_tensor_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_10, 0.054124411195516586, -20, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0533246Z %quantized_decomposed_dequantize_per_tensor_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_15, 0.054124411195516586, -20, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0535994Z %aten_add_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_28, %quantized_decomposed_dequantize_per_tensor_default_21), kwargs = {}) 2024-06-26T05:16:43.0538752Z %quantized_decomposed_quantize_per_tensor_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_add_tensor_2, 0.08242182433605194, 11, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0541963Z %quantized_decomposed_dequantize_per_tensor_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_16, 0.08242182433605194, 11, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0545028Z %quantized_decomposed_dequantize_per_tensor_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param11, 0.01391826756298542, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0548087Z %aten_convolution_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_29, %quantized_decomposed_dequantize_per_tensor_default_30, %p_features_4_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0551332Z %quantized_decomposed_quantize_per_tensor_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_11, 0.06612107902765274, 8, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0554431Z %quantized_decomposed_dequantize_per_tensor_default_31 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_17, 0.06612107902765274, 8, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0556929Z %aten__to_copy_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant58,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.0559185Z %aten_add_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_31, %aten__to_copy_default_2), kwargs = {}) 2024-06-26T05:16:43.0561095Z %aten_clamp_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_3, 0), kwargs = {}) 2024-06-26T05:16:43.0562773Z %aten_clamp_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_4, None, 6), kwargs = {}) 2024-06-26T05:16:43.0564700Z %aten_mul_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_31, %aten_clamp_default_5), kwargs = {}) 2024-06-26T05:16:43.0566720Z %aten_div_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_2, %_lifted_tensor_constant59), kwargs = {}) 2024-06-26T05:16:43.0569178Z %quantized_decomposed_quantize_per_tensor_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_2, 0.032392363995313644, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0572277Z %quantized_decomposed_dequantize_per_tensor_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_18, 0.032392363995313644, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0575341Z %quantized_decomposed_dequantize_per_tensor_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param12, 0.12695422768592834, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0578368Z %aten_convolution_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_32, %quantized_decomposed_dequantize_per_tensor_default_33, %p_features_4_block_1_0_weight_bias, [2, 2], [2, 2], [1, 1], False, [0, 0], 96), kwargs = {}) 2024-06-26T05:16:43.0581721Z %quantized_decomposed_quantize_per_tensor_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_12, 0.04804250970482826, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0584834Z %quantized_decomposed_dequantize_per_tensor_default_34 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_19, 0.04804250970482826, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0587345Z %aten__to_copy_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant60,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.0589396Z %aten_add_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_34, %aten__to_copy_default_3), kwargs = {}) 2024-06-26T05:16:43.0591302Z %aten_clamp_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_4, 0), kwargs = {}) 2024-06-26T05:16:43.0593007Z %aten_clamp_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_6, None, 6), kwargs = {}) 2024-06-26T05:16:43.0594938Z %aten_mul_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_34, %aten_clamp_default_7), kwargs = {}) 2024-06-26T05:16:43.0596937Z %aten_div_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_3, %_lifted_tensor_constant61), kwargs = {}) 2024-06-26T05:16:43.0599571Z %quantized_decomposed_quantize_per_tensor_default_20 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_3, 0.027695344761013985, -114, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0602700Z %quantized_decomposed_dequantize_per_tensor_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_20, 0.027695344761013985, -114, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0605969Z %quantized_decomposed_dequantize_per_tensor_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_20, 0.027695344761013985, -114, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0608634Z %aten_mean_dim_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_36, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:43.0611173Z %quantized_decomposed_quantize_per_tensor_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_1, 0.027695344761013985, -114, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0614248Z %quantized_decomposed_dequantize_per_tensor_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_21, 0.027695344761013985, -114, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0617371Z %quantized_decomposed_dequantize_per_tensor_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param13, 0.023241082206368446, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0620408Z %aten_convolution_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_37, %quantized_decomposed_dequantize_per_tensor_default_38, %p_features_4_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0622954Z %aten_relu_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_13,), kwargs = {}) 2024-06-26T05:16:43.0625342Z %quantized_decomposed_quantize_per_tensor_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_6, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0628401Z %quantized_decomposed_dequantize_per_tensor_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_22, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0631457Z %quantized_decomposed_dequantize_per_tensor_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param14, 0.009259029291570187, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0634456Z %aten_convolution_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_39, %quantized_decomposed_dequantize_per_tensor_default_40, %p_features_4_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0637734Z %quantized_decomposed_quantize_per_tensor_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_14, 0.012354371137917042, 25, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0641100Z %quantized_decomposed_dequantize_per_tensor_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_23, 0.012354371137917042, 25, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0643579Z %aten__to_copy_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant62,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.0645617Z %aten_add_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_41, %aten__to_copy_default_4), kwargs = {}) 2024-06-26T05:16:43.0647535Z %aten_clamp_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_5, 0), kwargs = {}) 2024-06-26T05:16:43.0649244Z %aten_clamp_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_8, None, 6), kwargs = {}) 2024-06-26T05:16:43.0651025Z %aten_div_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_9, %_lifted_tensor_constant63), kwargs = {}) 2024-06-26T05:16:43.0653498Z %quantized_decomposed_quantize_per_tensor_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_4, 0.0027818952221423388, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0656634Z %quantized_decomposed_dequantize_per_tensor_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_24, 0.0027818952221423388, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0659411Z %aten_mul_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_42, %quantized_decomposed_dequantize_per_tensor_default_35), kwargs = {}) 2024-06-26T05:16:43.0662279Z %quantized_decomposed_quantize_per_tensor_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_4, 0.015911469236016273, -114, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0665356Z %quantized_decomposed_dequantize_per_tensor_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_25, 0.015911469236016273, -114, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0668412Z %quantized_decomposed_dequantize_per_tensor_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param15, 0.009915303438901901, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0671443Z %aten_convolution_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_43, %quantized_decomposed_dequantize_per_tensor_default_44, %p_features_4_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0674745Z %quantized_decomposed_quantize_per_tensor_default_26 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_15, 0.023397967219352722, 2, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0677945Z %quantized_decomposed_dequantize_per_tensor_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_26, 0.023397967219352722, 2, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0681313Z %quantized_decomposed_dequantize_per_tensor_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_26, 0.023397967219352722, 2, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0684391Z %quantized_decomposed_dequantize_per_tensor_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param16, 0.009469963610172272, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0687416Z %aten_convolution_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_46, %quantized_decomposed_dequantize_per_tensor_default_47, %p_features_5_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0690667Z %quantized_decomposed_quantize_per_tensor_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_16, 0.030264077708125114, 53, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0693780Z %quantized_decomposed_dequantize_per_tensor_default_48 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_27, 0.030264077708125114, 53, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0696310Z %aten__to_copy_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant64,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.0698359Z %aten_add_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_48, %aten__to_copy_default_5), kwargs = {}) 2024-06-26T05:16:43.0700393Z %aten_clamp_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_6, 0), kwargs = {}) 2024-06-26T05:16:43.0702121Z %aten_clamp_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_10, None, 6), kwargs = {}) 2024-06-26T05:16:43.0704056Z %aten_mul_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_48, %aten_clamp_default_11), kwargs = {}) 2024-06-26T05:16:43.0706029Z %aten_div_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_5, %_lifted_tensor_constant65), kwargs = {}) 2024-06-26T05:16:43.0708480Z %quantized_decomposed_quantize_per_tensor_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_5, 0.010615072213113308, -93, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0711633Z %quantized_decomposed_dequantize_per_tensor_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_28, 0.010615072213113308, -93, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0714701Z %quantized_decomposed_dequantize_per_tensor_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param17, 0.29110556840896606, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0717754Z %aten_convolution_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_49, %quantized_decomposed_dequantize_per_tensor_default_50, %p_features_5_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], False, [0, 0], 240), kwargs = {}) 2024-06-26T05:16:43.0721179Z %quantized_decomposed_quantize_per_tensor_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_17, 0.04241267591714859, -9, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0724279Z %quantized_decomposed_dequantize_per_tensor_default_51 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_29, 0.04241267591714859, -9, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0726751Z %aten__to_copy_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant66,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.0728793Z %aten_add_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_51, %aten__to_copy_default_6), kwargs = {}) 2024-06-26T05:16:43.0730715Z %aten_clamp_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_7, 0), kwargs = {}) 2024-06-26T05:16:43.0732471Z %aten_clamp_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_12, None, 6), kwargs = {}) 2024-06-26T05:16:43.0734415Z %aten_mul_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_51, %aten_clamp_default_13), kwargs = {}) 2024-06-26T05:16:43.0736428Z %aten_div_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_6, %_lifted_tensor_constant67), kwargs = {}) 2024-06-26T05:16:43.0738883Z %quantized_decomposed_quantize_per_tensor_default_30 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_6, 0.024311522021889687, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0742033Z %quantized_decomposed_dequantize_per_tensor_default_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_30, 0.024311522021889687, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0745326Z %quantized_decomposed_dequantize_per_tensor_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_30, 0.024311522021889687, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0748024Z %aten_mean_dim_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_53, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:43.0750717Z %quantized_decomposed_quantize_per_tensor_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_2, 0.024311522021889687, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0753794Z %quantized_decomposed_dequantize_per_tensor_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_31, 0.024311522021889687, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0756920Z %quantized_decomposed_dequantize_per_tensor_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param18, 0.02302936650812626, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0760085Z %aten_convolution_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_54, %quantized_decomposed_dequantize_per_tensor_default_55, %p_features_5_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0762579Z %aten_relu_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_18,), kwargs = {}) 2024-06-26T05:16:43.0765003Z %quantized_decomposed_quantize_per_tensor_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_7, 0.015174000523984432, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0768118Z %quantized_decomposed_dequantize_per_tensor_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_32, 0.015174000523984432, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0771248Z %quantized_decomposed_dequantize_per_tensor_default_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param19, 0.024587249383330345, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0774260Z %aten_convolution_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_56, %quantized_decomposed_dequantize_per_tensor_default_57, %p_features_5_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0777533Z %quantized_decomposed_quantize_per_tensor_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_19, 0.03577641397714615, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0780801Z %quantized_decomposed_dequantize_per_tensor_default_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_33, 0.03577641397714615, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0783285Z %aten__to_copy_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant68,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.0785320Z %aten_add_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_58, %aten__to_copy_default_7), kwargs = {}) 2024-06-26T05:16:43.0787294Z %aten_clamp_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_8, 0), kwargs = {}) 2024-06-26T05:16:43.0788998Z %aten_clamp_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_14, None, 6), kwargs = {}) 2024-06-26T05:16:43.0790897Z %aten_div_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_15, %_lifted_tensor_constant69), kwargs = {}) 2024-06-26T05:16:43.0793366Z %quantized_decomposed_quantize_per_tensor_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_7, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0796498Z %quantized_decomposed_dequantize_per_tensor_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_34, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0799444Z %aten_mul_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_59, %quantized_decomposed_dequantize_per_tensor_default_52), kwargs = {}) 2024-06-26T05:16:43.0802209Z %quantized_decomposed_quantize_per_tensor_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_7, 0.004744516685605049, -49, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0805300Z %quantized_decomposed_dequantize_per_tensor_default_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_35, 0.004744516685605049, -49, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0808367Z %quantized_decomposed_dequantize_per_tensor_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param20, 0.03421241044998169, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0811445Z %aten_convolution_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_60, %quantized_decomposed_dequantize_per_tensor_default_61, %p_features_5_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0814715Z %quantized_decomposed_quantize_per_tensor_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_20, 0.02010633796453476, -34, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0817830Z %quantized_decomposed_dequantize_per_tensor_default_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_36, 0.02010633796453476, -34, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0820654Z %aten_add_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_62, %quantized_decomposed_dequantize_per_tensor_default_45), kwargs = {}) 2024-06-26T05:16:43.0823424Z %quantized_decomposed_quantize_per_tensor_default_37 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_add_tensor_9, 0.03142682462930679, -18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0826549Z %quantized_decomposed_dequantize_per_tensor_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_37, 0.03142682462930679, -18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0829804Z %quantized_decomposed_dequantize_per_tensor_default_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_37, 0.03142682462930679, -18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0832911Z %quantized_decomposed_dequantize_per_tensor_default_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param21, 0.004709577653557062, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0835923Z %aten_convolution_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_64, %quantized_decomposed_dequantize_per_tensor_default_65, %p_features_6_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0839382Z %quantized_decomposed_quantize_per_tensor_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_21, 0.024533459916710854, 50, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0842503Z %quantized_decomposed_dequantize_per_tensor_default_66 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_38, 0.024533459916710854, 50, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0844998Z %aten__to_copy_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant70,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.0847047Z %aten_add_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_66, %aten__to_copy_default_8), kwargs = {}) 2024-06-26T05:16:43.0849014Z %aten_clamp_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_10, 0), kwargs = {}) 2024-06-26T05:16:43.0850727Z %aten_clamp_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_16, None, 6), kwargs = {}) 2024-06-26T05:16:43.0852729Z %aten_mul_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_66, %aten_clamp_default_17), kwargs = {}) 2024-06-26T05:16:43.0854698Z %aten_div_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_8, %_lifted_tensor_constant71), kwargs = {}) 2024-06-26T05:16:43.0857124Z %quantized_decomposed_quantize_per_tensor_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_8, 0.008677337318658829, -85, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0860282Z %quantized_decomposed_dequantize_per_tensor_default_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_39, 0.008677337318658829, -85, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0863330Z %quantized_decomposed_dequantize_per_tensor_default_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param22, 0.22559306025505066, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0866391Z %aten_convolution_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_67, %quantized_decomposed_dequantize_per_tensor_default_68, %p_features_6_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], False, [0, 0], 240), kwargs = {}) 2024-06-26T05:16:43.0869648Z %quantized_decomposed_quantize_per_tensor_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_22, 0.048910126090049744, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0872807Z %quantized_decomposed_dequantize_per_tensor_default_69 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_40, 0.048910126090049744, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0875288Z %aten__to_copy_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant72,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.0877342Z %aten_add_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_69, %aten__to_copy_default_9), kwargs = {}) 2024-06-26T05:16:43.0879410Z %aten_clamp_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_11, 0), kwargs = {}) 2024-06-26T05:16:43.0881144Z %aten_clamp_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_18, None, 6), kwargs = {}) 2024-06-26T05:16:43.0883096Z %aten_mul_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_69, %aten_clamp_default_19), kwargs = {}) 2024-06-26T05:16:43.0885126Z %aten_div_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_9, %_lifted_tensor_constant73), kwargs = {}) 2024-06-26T05:16:43.0887575Z %quantized_decomposed_quantize_per_tensor_default_41 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_9, 0.025781380012631416, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0890704Z %quantized_decomposed_dequantize_per_tensor_default_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_41, 0.025781380012631416, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0894077Z %quantized_decomposed_dequantize_per_tensor_default_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_41, 0.025781380012631416, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0896753Z %aten_mean_dim_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_71, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:43.0899305Z %quantized_decomposed_quantize_per_tensor_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_3, 0.025781380012631416, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0902511Z %quantized_decomposed_dequantize_per_tensor_default_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_42, 0.025781380012631416, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0905591Z %quantized_decomposed_dequantize_per_tensor_default_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param23, 0.013339489698410034, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0908628Z %aten_convolution_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_72, %quantized_decomposed_dequantize_per_tensor_default_73, %p_features_6_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0911121Z %aten_relu_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_23,), kwargs = {}) 2024-06-26T05:16:43.0913534Z %quantized_decomposed_quantize_per_tensor_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_8, 0.007699207402765751, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0916641Z %quantized_decomposed_dequantize_per_tensor_default_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_43, 0.007699207402765751, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0919880Z %quantized_decomposed_dequantize_per_tensor_default_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param24, 0.020886452868580818, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0922940Z %aten_convolution_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_74, %quantized_decomposed_dequantize_per_tensor_default_75, %p_features_6_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0926181Z %quantized_decomposed_quantize_per_tensor_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_24, 0.023070767521858215, 17, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0929318Z %quantized_decomposed_dequantize_per_tensor_default_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_44, 0.023070767521858215, 17, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0931809Z %aten__to_copy_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant74,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.0933868Z %aten_add_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_76, %aten__to_copy_default_10), kwargs = {}) 2024-06-26T05:16:43.0935895Z %aten_clamp_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_12, 0), kwargs = {}) 2024-06-26T05:16:43.0937618Z %aten_clamp_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_20, None, 6), kwargs = {}) 2024-06-26T05:16:43.0939484Z %aten_div_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_21, %_lifted_tensor_constant75), kwargs = {}) 2024-06-26T05:16:43.0942027Z %quantized_decomposed_quantize_per_tensor_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_10, 0.00362548790872097, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0945109Z %quantized_decomposed_dequantize_per_tensor_default_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_45, 0.00362548790872097, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0947908Z %aten_mul_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_77, %quantized_decomposed_dequantize_per_tensor_default_70), kwargs = {}) 2024-06-26T05:16:43.0950682Z %quantized_decomposed_quantize_per_tensor_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_10, 0.006186653394252062, -75, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0953752Z %quantized_decomposed_dequantize_per_tensor_default_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_46, 0.006186653394252062, -75, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0956802Z %quantized_decomposed_dequantize_per_tensor_default_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param25, 0.03715989366173744, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0959984Z %aten_convolution_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_78, %quantized_decomposed_dequantize_per_tensor_default_79, %p_features_6_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0963273Z %quantized_decomposed_quantize_per_tensor_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_25, 0.04069148376584053, -26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0966402Z %quantized_decomposed_dequantize_per_tensor_default_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_47, 0.04069148376584053, -26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0969189Z %aten_add_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_80, %quantized_decomposed_dequantize_per_tensor_default_63), kwargs = {}) 2024-06-26T05:16:43.0971965Z %quantized_decomposed_quantize_per_tensor_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_add_tensor_13, 0.04122285544872284, -28, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0975060Z %quantized_decomposed_dequantize_per_tensor_default_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_48, 0.04122285544872284, -28, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0978127Z %quantized_decomposed_dequantize_per_tensor_default_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param26, 0.008141666650772095, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0981260Z %aten_convolution_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_81, %quantized_decomposed_dequantize_per_tensor_default_82, %p_features_7_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.0984493Z %quantized_decomposed_quantize_per_tensor_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_26, 0.04015304520726204, -9, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0987634Z %quantized_decomposed_dequantize_per_tensor_default_83 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_49, 0.04015304520726204, -9, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.0990125Z %aten__to_copy_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant76,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.0992185Z %aten_add_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_83, %aten__to_copy_default_11), kwargs = {}) 2024-06-26T05:16:43.0994114Z %aten_clamp_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_14, 0), kwargs = {}) 2024-06-26T05:16:43.0995833Z %aten_clamp_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_22, None, 6), kwargs = {}) 2024-06-26T05:16:43.0997792Z %aten_mul_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_83, %aten_clamp_default_23), kwargs = {}) 2024-06-26T05:16:43.1000003Z %aten_div_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_11, %_lifted_tensor_constant77), kwargs = {}) 2024-06-26T05:16:43.1002466Z %quantized_decomposed_quantize_per_tensor_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_11, 0.02341550402343273, -112, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1005606Z %quantized_decomposed_dequantize_per_tensor_default_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_50, 0.02341550402343273, -112, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1008653Z %quantized_decomposed_dequantize_per_tensor_default_85 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param27, 0.24098145961761475, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1011684Z %aten_convolution_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_84, %quantized_decomposed_dequantize_per_tensor_default_85, %p_features_7_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], False, [0, 0], 120), kwargs = {}) 2024-06-26T05:16:43.1014919Z %quantized_decomposed_quantize_per_tensor_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_27, 0.0408136323094368, -26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1018073Z %quantized_decomposed_dequantize_per_tensor_default_86 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_51, 0.0408136323094368, -26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1020642Z %aten__to_copy_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant78,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.1022699Z %aten_add_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_86, %aten__to_copy_default_12), kwargs = {}) 2024-06-26T05:16:43.1024659Z %aten_clamp_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_15, 0), kwargs = {}) 2024-06-26T05:16:43.1026373Z %aten_clamp_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_24, None, 6), kwargs = {}) 2024-06-26T05:16:43.1028335Z %aten_mul_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_86, %aten_clamp_default_25), kwargs = {}) 2024-06-26T05:16:43.1030317Z %aten_div_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_12, %_lifted_tensor_constant79), kwargs = {}) 2024-06-26T05:16:43.1032765Z %quantized_decomposed_quantize_per_tensor_default_52 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_12, 0.02829105406999588, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1035851Z %quantized_decomposed_dequantize_per_tensor_default_87 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_52, 0.02829105406999588, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1039336Z %quantized_decomposed_dequantize_per_tensor_default_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_52, 0.02829105406999588, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1042028Z %aten_mean_dim_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_88, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:43.1044594Z %quantized_decomposed_quantize_per_tensor_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_4, 0.02829105406999588, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1047652Z %quantized_decomposed_dequantize_per_tensor_default_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_53, 0.02829105406999588, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1050709Z %quantized_decomposed_dequantize_per_tensor_default_90 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param28, 0.02133479155600071, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1053703Z %aten_convolution_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_89, %quantized_decomposed_dequantize_per_tensor_default_90, %p_features_7_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1056232Z %aten_relu_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_28,), kwargs = {}) 2024-06-26T05:16:43.1058644Z %quantized_decomposed_quantize_per_tensor_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_9, 0.023547444492578506, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1061866Z %quantized_decomposed_dequantize_per_tensor_default_91 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_54, 0.023547444492578506, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1064944Z %quantized_decomposed_dequantize_per_tensor_default_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param29, 0.015290362760424614, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1067939Z %aten_convolution_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_91, %quantized_decomposed_dequantize_per_tensor_default_92, %p_features_7_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1071158Z %quantized_decomposed_quantize_per_tensor_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_29, 0.03005356155335903, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1074247Z %quantized_decomposed_dequantize_per_tensor_default_93 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_55, 0.03005356155335903, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1076760Z %aten__to_copy_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant80,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.1078987Z %aten_add_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_93, %aten__to_copy_default_13), kwargs = {}) 2024-06-26T05:16:43.1080956Z %aten_clamp_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_16, 0), kwargs = {}) 2024-06-26T05:16:43.1082678Z %aten_clamp_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_26, None, 6), kwargs = {}) 2024-06-26T05:16:43.1084475Z %aten_div_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_27, %_lifted_tensor_constant81), kwargs = {}) 2024-06-26T05:16:43.1086944Z %quantized_decomposed_quantize_per_tensor_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_13, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1090038Z %quantized_decomposed_dequantize_per_tensor_default_94 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_56, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1092856Z %aten_mul_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_94, %quantized_decomposed_dequantize_per_tensor_default_87), kwargs = {}) 2024-06-26T05:16:43.1095627Z %quantized_decomposed_quantize_per_tensor_default_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_13, 0.017186682671308517, -106, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1098713Z %quantized_decomposed_dequantize_per_tensor_default_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_57, 0.017186682671308517, -106, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1101870Z %quantized_decomposed_dequantize_per_tensor_default_96 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param30, 0.0081296656280756, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1104874Z %aten_convolution_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_95, %quantized_decomposed_dequantize_per_tensor_default_96, %p_features_7_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1108110Z %quantized_decomposed_quantize_per_tensor_default_58 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_30, 0.025062335655093193, 8, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1111209Z %quantized_decomposed_dequantize_per_tensor_default_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_58, 0.025062335655093193, 8, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1114514Z %quantized_decomposed_dequantize_per_tensor_default_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_58, 0.025062335655093193, 8, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1117589Z %quantized_decomposed_dequantize_per_tensor_default_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param31, 0.004416964948177338, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1120810Z %aten_convolution_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_98, %quantized_decomposed_dequantize_per_tensor_default_99, %p_features_8_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1124054Z %quantized_decomposed_quantize_per_tensor_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_31, 0.028558459132909775, 6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1127167Z %quantized_decomposed_dequantize_per_tensor_default_100 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_59, 0.028558459132909775, 6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1129666Z %aten__to_copy_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant82,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.1131767Z %aten_add_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_100, %aten__to_copy_default_14), kwargs = {}) 2024-06-26T05:16:43.1133705Z %aten_clamp_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_17, 0), kwargs = {}) 2024-06-26T05:16:43.1135430Z %aten_clamp_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_28, None, 6), kwargs = {}) 2024-06-26T05:16:43.1137381Z %aten_mul_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_100, %aten_clamp_default_29), kwargs = {}) 2024-06-26T05:16:43.1139417Z %aten_div_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_14, %_lifted_tensor_constant83), kwargs = {}) 2024-06-26T05:16:43.1141944Z %quantized_decomposed_quantize_per_tensor_default_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_14, 0.014968409202992916, -103, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1145066Z %quantized_decomposed_dequantize_per_tensor_default_101 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_60, 0.014968409202992916, -103, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1148157Z %quantized_decomposed_dequantize_per_tensor_default_102 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param32, 0.16769732534885406, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1151192Z %aten_convolution_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_101, %quantized_decomposed_dequantize_per_tensor_default_102, %p_features_8_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], False, [0, 0], 144), kwargs = {}) 2024-06-26T05:16:43.1154478Z %quantized_decomposed_quantize_per_tensor_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_32, 0.05457872897386551, -46, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1157608Z %quantized_decomposed_dequantize_per_tensor_default_103 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_61, 0.05457872897386551, -46, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1160311Z %aten__to_copy_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant84,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.1162375Z %aten_add_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_103, %aten__to_copy_default_15), kwargs = {}) 2024-06-26T05:16:43.1164307Z %aten_clamp_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_18, 0), kwargs = {}) 2024-06-26T05:16:43.1166013Z %aten_clamp_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_30, None, 6), kwargs = {}) 2024-06-26T05:16:43.1167985Z %aten_mul_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_103, %aten_clamp_default_31), kwargs = {}) 2024-06-26T05:16:43.1170008Z %aten_div_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_15, %_lifted_tensor_constant85), kwargs = {}) 2024-06-26T05:16:43.1172457Z %quantized_decomposed_quantize_per_tensor_default_62 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_15, 0.038513194769620895, -118, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1175601Z %quantized_decomposed_dequantize_per_tensor_default_104 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_62, 0.038513194769620895, -118, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1178902Z %quantized_decomposed_dequantize_per_tensor_default_105 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_62, 0.038513194769620895, -118, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1181637Z %aten_mean_dim_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_105, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:43.1184178Z %quantized_decomposed_quantize_per_tensor_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_5, 0.038513194769620895, -118, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1187276Z %quantized_decomposed_dequantize_per_tensor_default_106 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_63, 0.038513194769620895, -118, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1190417Z %quantized_decomposed_dequantize_per_tensor_default_107 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param33, 0.012662169523537159, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1193432Z %aten_convolution_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_106, %quantized_decomposed_dequantize_per_tensor_default_107, %p_features_8_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1195976Z %aten_relu_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_33,), kwargs = {}) 2024-06-26T05:16:43.1198545Z %quantized_decomposed_quantize_per_tensor_default_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_10, 0.0068855322897434235, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1201678Z %quantized_decomposed_dequantize_per_tensor_default_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_64, 0.0068855322897434235, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1204773Z %quantized_decomposed_dequantize_per_tensor_default_109 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param34, 0.010558309964835644, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1207847Z %aten_convolution_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_108, %quantized_decomposed_dequantize_per_tensor_default_109, %p_features_8_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1211058Z %quantized_decomposed_quantize_per_tensor_default_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_34, 0.02613234892487526, 2, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1214186Z %quantized_decomposed_dequantize_per_tensor_default_110 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_65, 0.02613234892487526, 2, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1216688Z %aten__to_copy_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant86,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.1218736Z %aten_add_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_110, %aten__to_copy_default_16), kwargs = {}) 2024-06-26T05:16:43.1220736Z %aten_clamp_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_19, 0), kwargs = {}) 2024-06-26T05:16:43.1222456Z %aten_clamp_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_32, None, 6), kwargs = {}) 2024-06-26T05:16:43.1224273Z %aten_div_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_33, %_lifted_tensor_constant87), kwargs = {}) 2024-06-26T05:16:43.1226758Z %quantized_decomposed_quantize_per_tensor_default_66 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_16, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1229897Z %quantized_decomposed_dequantize_per_tensor_default_111 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_66, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1232676Z %aten_mul_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_111, %quantized_decomposed_dequantize_per_tensor_default_104), kwargs = {}) 2024-06-26T05:16:43.1235497Z %quantized_decomposed_quantize_per_tensor_default_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_16, 0.005491943098604679, -67, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1238775Z %quantized_decomposed_dequantize_per_tensor_default_112 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_67, 0.005491943098604679, -67, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1241860Z %quantized_decomposed_dequantize_per_tensor_default_113 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param35, 0.026196502149105072, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1245016Z %aten_convolution_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_112, %quantized_decomposed_dequantize_per_tensor_default_113, %p_features_8_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1248345Z %quantized_decomposed_quantize_per_tensor_default_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_35, 0.02513938769698143, -28, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1251464Z %quantized_decomposed_dequantize_per_tensor_default_114 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_68, 0.02513938769698143, -28, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1254480Z %aten_add_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_114, %quantized_decomposed_dequantize_per_tensor_default_97), kwargs = {}) 2024-06-26T05:16:43.1257272Z %quantized_decomposed_quantize_per_tensor_default_69 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_add_tensor_20, 0.031132366508245468, 11, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1260448Z %quantized_decomposed_dequantize_per_tensor_default_115 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_69, 0.031132366508245468, 11, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1263523Z %quantized_decomposed_dequantize_per_tensor_default_116 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param36, 0.00884885061532259, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1266579Z %aten_convolution_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_115, %quantized_decomposed_dequantize_per_tensor_default_116, %p_features_9_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1269868Z %quantized_decomposed_quantize_per_tensor_default_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_36, 0.03349317982792854, 16, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1272964Z %quantized_decomposed_dequantize_per_tensor_default_117 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_70, 0.03349317982792854, 16, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1275496Z %aten__to_copy_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant88,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.1277555Z %aten_add_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_117, %aten__to_copy_default_17), kwargs = {}) 2024-06-26T05:16:43.1279676Z %aten_clamp_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_21, 0), kwargs = {}) 2024-06-26T05:16:43.1281406Z %aten_clamp_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_34, None, 6), kwargs = {}) 2024-06-26T05:16:43.1283355Z %aten_mul_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_117, %aten_clamp_default_35), kwargs = {}) 2024-06-26T05:16:43.1285402Z %aten_div_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_17, %_lifted_tensor_constant89), kwargs = {}) 2024-06-26T05:16:43.1287861Z %quantized_decomposed_quantize_per_tensor_default_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_17, 0.01609356887638569, -105, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1290983Z %quantized_decomposed_dequantize_per_tensor_default_118 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_71, 0.01609356887638569, -105, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1294064Z %quantized_decomposed_dequantize_per_tensor_default_119 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param37, 0.07351506501436234, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1297105Z %aten_convolution_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_118, %quantized_decomposed_dequantize_per_tensor_default_119, %p_features_9_block_1_0_weight_bias, [2, 2], [2, 2], [1, 1], False, [0, 0], 288), kwargs = {}) 2024-06-26T05:16:43.1300431Z %quantized_decomposed_quantize_per_tensor_default_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_37, 0.029148833826184273, 4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1303550Z %quantized_decomposed_dequantize_per_tensor_default_120 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_72, 0.029148833826184273, 4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1306084Z %aten__to_copy_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant90,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.1308143Z %aten_add_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_120, %aten__to_copy_default_18), kwargs = {}) 2024-06-26T05:16:43.1310116Z %aten_clamp_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_22, 0), kwargs = {}) 2024-06-26T05:16:43.1311828Z %aten_clamp_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_36, None, 6), kwargs = {}) 2024-06-26T05:16:43.1313779Z %aten_mul_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_120, %aten_clamp_default_37), kwargs = {}) 2024-06-26T05:16:43.1315766Z %aten_div_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_18, %_lifted_tensor_constant91), kwargs = {}) 2024-06-26T05:16:43.1318386Z %quantized_decomposed_quantize_per_tensor_default_73 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_18, 0.015525054186582565, -104, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1321504Z %quantized_decomposed_dequantize_per_tensor_default_121 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_73, 0.015525054186582565, -104, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1324831Z %quantized_decomposed_dequantize_per_tensor_default_122 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_73, 0.015525054186582565, -104, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1327499Z %aten_mean_dim_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_122, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:43.1330079Z %quantized_decomposed_quantize_per_tensor_default_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_6, 0.015525054186582565, -104, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1333167Z %quantized_decomposed_dequantize_per_tensor_default_123 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_74, 0.015525054186582565, -104, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1336269Z %quantized_decomposed_dequantize_per_tensor_default_124 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param38, 0.010171673260629177, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1339277Z %aten_convolution_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_123, %quantized_decomposed_dequantize_per_tensor_default_124, %p_features_9_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1341842Z %aten_relu_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_38,), kwargs = {}) 2024-06-26T05:16:43.1344320Z %quantized_decomposed_quantize_per_tensor_default_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_11, 0.008966333232820034, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1347426Z %quantized_decomposed_dequantize_per_tensor_default_125 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_75, 0.008966333232820034, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1350539Z %quantized_decomposed_dequantize_per_tensor_default_126 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param39, 0.009884593077003956, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1353557Z %aten_convolution_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_125, %quantized_decomposed_dequantize_per_tensor_default_126, %p_features_9_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1356782Z %quantized_decomposed_quantize_per_tensor_default_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_39, 0.02220064029097557, -17, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1360105Z %quantized_decomposed_dequantize_per_tensor_default_127 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_76, 0.02220064029097557, -17, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1362657Z %aten__to_copy_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant92,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.1364704Z %aten_add_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_127, %aten__to_copy_default_19), kwargs = {}) 2024-06-26T05:16:43.1366637Z %aten_clamp_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_23, 0), kwargs = {}) 2024-06-26T05:16:43.1368434Z %aten_clamp_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_38, None, 6), kwargs = {}) 2024-06-26T05:16:43.1370245Z %aten_div_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_39, %_lifted_tensor_constant93), kwargs = {}) 2024-06-26T05:16:43.1372718Z %quantized_decomposed_quantize_per_tensor_default_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_19, 0.003919826354831457, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1375829Z %quantized_decomposed_dequantize_per_tensor_default_128 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_77, 0.003919826354831457, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1378620Z %aten_mul_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_128, %quantized_decomposed_dequantize_per_tensor_default_121), kwargs = {}) 2024-06-26T05:16:43.1381501Z %quantized_decomposed_quantize_per_tensor_default_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_19, 0.004622971639037132, -53, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1384597Z %quantized_decomposed_dequantize_per_tensor_default_129 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_78, 0.004622971639037132, -53, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1387713Z %quantized_decomposed_dequantize_per_tensor_default_130 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param40, 0.009600795805454254, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1390752Z %aten_convolution_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_129, %quantized_decomposed_dequantize_per_tensor_default_130, %p_features_9_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1393994Z %quantized_decomposed_quantize_per_tensor_default_79 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_40, 0.011377639137208462, -6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1397122Z %quantized_decomposed_dequantize_per_tensor_default_131 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_79, 0.011377639137208462, -6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1400607Z %quantized_decomposed_dequantize_per_tensor_default_132 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_79, 0.011377639137208462, -6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1403686Z %quantized_decomposed_dequantize_per_tensor_default_133 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param41, 0.008772623725235462, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1406771Z %aten_convolution_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_132, %quantized_decomposed_dequantize_per_tensor_default_133, %p_features_10_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1410021Z %quantized_decomposed_quantize_per_tensor_default_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_41, 0.019726678729057312, 36, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1413159Z %quantized_decomposed_dequantize_per_tensor_default_134 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_80, 0.019726678729057312, 36, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1415667Z %aten__to_copy_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant94,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.1417714Z %aten_add_tensor_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_134, %aten__to_copy_default_20), kwargs = {}) 2024-06-26T05:16:43.1419647Z %aten_clamp_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_24, 0), kwargs = {}) 2024-06-26T05:16:43.1421483Z %aten_clamp_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_40, None, 6), kwargs = {}) 2024-06-26T05:16:43.1423439Z %aten_mul_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_134, %aten_clamp_default_41), kwargs = {}) 2024-06-26T05:16:43.1425453Z %aten_div_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_20, %_lifted_tensor_constant95), kwargs = {}) 2024-06-26T05:16:43.1427905Z %quantized_decomposed_quantize_per_tensor_default_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_20, 0.008218232542276382, -82, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1431002Z %quantized_decomposed_dequantize_per_tensor_default_135 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_81, 0.008218232542276382, -82, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1434071Z %quantized_decomposed_dequantize_per_tensor_default_136 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param42, 0.14382794499397278, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1437154Z %aten_convolution_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_135, %quantized_decomposed_dequantize_per_tensor_default_136, %p_features_10_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], False, [0, 0], 576), kwargs = {}) 2024-06-26T05:16:43.1440586Z %quantized_decomposed_quantize_per_tensor_default_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_42, 0.030605250969529152, 33, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1443754Z %quantized_decomposed_dequantize_per_tensor_default_137 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_82, 0.030605250969529152, 33, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1446243Z %aten__to_copy_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant96,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.1448306Z %aten_add_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_137, %aten__to_copy_default_21), kwargs = {}) 2024-06-26T05:16:43.1450224Z %aten_clamp_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_25, 0), kwargs = {}) 2024-06-26T05:16:43.1451933Z %aten_clamp_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_42, None, 6), kwargs = {}) 2024-06-26T05:16:43.1453882Z %aten_mul_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_137, %aten_clamp_default_43), kwargs = {}) 2024-06-26T05:16:43.1455852Z %aten_div_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_21, %_lifted_tensor_constant97), kwargs = {}) 2024-06-26T05:16:43.1458332Z %quantized_decomposed_quantize_per_tensor_default_83 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_21, 0.012795067392289639, -99, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1461502Z %quantized_decomposed_dequantize_per_tensor_default_138 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_83, 0.012795067392289639, -99, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1464829Z %quantized_decomposed_dequantize_per_tensor_default_139 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_83, 0.012795067392289639, -99, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1467502Z %aten_mean_dim_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_139, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:43.1470044Z %quantized_decomposed_quantize_per_tensor_default_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_7, 0.012795067392289639, -99, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1473105Z %quantized_decomposed_dequantize_per_tensor_default_140 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_84, 0.012795067392289639, -99, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1476224Z %quantized_decomposed_dequantize_per_tensor_default_141 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param43, 0.012263336218893528, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1479410Z %aten_convolution_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_140, %quantized_decomposed_dequantize_per_tensor_default_141, %p_features_10_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1481975Z %aten_relu_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_43,), kwargs = {}) 2024-06-26T05:16:43.1484407Z %quantized_decomposed_quantize_per_tensor_default_85 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_12, 0.013059389777481556, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1487533Z %quantized_decomposed_dequantize_per_tensor_default_142 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_85, 0.013059389777481556, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1490619Z %quantized_decomposed_dequantize_per_tensor_default_143 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param44, 0.018498629331588745, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1493622Z %aten_convolution_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_142, %quantized_decomposed_dequantize_per_tensor_default_143, %p_features_10_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1496897Z %quantized_decomposed_quantize_per_tensor_default_86 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_44, 0.02821929380297661, 22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1500067Z %quantized_decomposed_dequantize_per_tensor_default_144 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_86, 0.02821929380297661, 22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1502607Z %aten__to_copy_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant98,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.1504675Z %aten_add_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_144, %aten__to_copy_default_22), kwargs = {}) 2024-06-26T05:16:43.1506599Z %aten_clamp_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_26, 0), kwargs = {}) 2024-06-26T05:16:43.1508312Z %aten_clamp_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_44, None, 6), kwargs = {}) 2024-06-26T05:16:43.1510131Z %aten_div_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_45, %_lifted_tensor_constant99), kwargs = {}) 2024-06-26T05:16:43.1512648Z %quantized_decomposed_quantize_per_tensor_default_87 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_22, 0.003906350117176771, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1515753Z %quantized_decomposed_dequantize_per_tensor_default_145 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_87, 0.003906350117176771, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1518702Z %aten_mul_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_145, %quantized_decomposed_dequantize_per_tensor_default_138), kwargs = {}) 2024-06-26T05:16:43.1521530Z %quantized_decomposed_quantize_per_tensor_default_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_22, 0.0033363965339958668, -16, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1524628Z %quantized_decomposed_dequantize_per_tensor_default_146 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_88, 0.0033363965339958668, -16, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1527716Z %quantized_decomposed_dequantize_per_tensor_default_147 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param45, 0.018573224544525146, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1530777Z %aten_convolution_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_146, %quantized_decomposed_dequantize_per_tensor_default_147, %p_features_10_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1534097Z %quantized_decomposed_quantize_per_tensor_default_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_45, 0.009780419990420341, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1537233Z %quantized_decomposed_dequantize_per_tensor_default_148 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_89, 0.009780419990420341, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1540117Z %aten_add_tensor_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_148, %quantized_decomposed_dequantize_per_tensor_default_131), kwargs = {}) 2024-06-26T05:16:43.1542889Z %quantized_decomposed_quantize_per_tensor_default_90 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_add_tensor_27, 0.01390751451253891, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1545966Z %quantized_decomposed_dequantize_per_tensor_default_149 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_90, 0.01390751451253891, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1549228Z %quantized_decomposed_dequantize_per_tensor_default_150 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_90, 0.01390751451253891, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1552332Z %quantized_decomposed_dequantize_per_tensor_default_151 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param46, 0.00417760293930769, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1555354Z %aten_convolution_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_150, %quantized_decomposed_dequantize_per_tensor_default_151, %p_features_11_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1558826Z %quantized_decomposed_quantize_per_tensor_default_91 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_46, 0.019525067880749702, 39, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1561960Z %quantized_decomposed_dequantize_per_tensor_default_152 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_91, 0.019525067880749702, 39, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1564446Z %aten__to_copy_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant100,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.1566513Z %aten_add_tensor_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_152, %aten__to_copy_default_23), kwargs = {}) 2024-06-26T05:16:43.1568452Z %aten_clamp_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_28, 0), kwargs = {}) 2024-06-26T05:16:43.1570171Z %aten_clamp_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_46, None, 6), kwargs = {}) 2024-06-26T05:16:43.1572160Z %aten_mul_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_152, %aten_clamp_default_47), kwargs = {}) 2024-06-26T05:16:43.1574151Z %aten_div_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_23, %_lifted_tensor_constant101), kwargs = {}) 2024-06-26T05:16:43.1576612Z %quantized_decomposed_quantize_per_tensor_default_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_23, 0.0067838034592568874, -73, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1579823Z %quantized_decomposed_dequantize_per_tensor_default_153 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_92, 0.0067838034592568874, -73, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1582899Z %quantized_decomposed_dequantize_per_tensor_default_154 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param47, 0.14140361547470093, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1585939Z %aten_convolution_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_153, %quantized_decomposed_dequantize_per_tensor_default_154, %p_features_11_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], False, [0, 0], 576), kwargs = {}) 2024-06-26T05:16:43.1589238Z %quantized_decomposed_quantize_per_tensor_default_93 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_47, 0.02423640340566635, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1592344Z %quantized_decomposed_dequantize_per_tensor_default_155 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_93, 0.02423640340566635, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1594846Z %aten__to_copy_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant102,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.1596956Z %aten_add_tensor_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_155, %aten__to_copy_default_24), kwargs = {}) 2024-06-26T05:16:43.1599060Z %aten_clamp_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_29, 0), kwargs = {}) 2024-06-26T05:16:43.1600777Z %aten_clamp_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_48, None, 6), kwargs = {}) 2024-06-26T05:16:43.1602727Z %aten_mul_tensor_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_155, %aten_clamp_default_49), kwargs = {}) 2024-06-26T05:16:43.1604721Z %aten_div_tensor_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_24, %_lifted_tensor_constant103), kwargs = {}) 2024-06-26T05:16:43.1607189Z %quantized_decomposed_quantize_per_tensor_default_94 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_24, 0.013925882056355476, -101, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1610349Z %quantized_decomposed_dequantize_per_tensor_default_156 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_94, 0.013925882056355476, -101, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1613632Z %quantized_decomposed_dequantize_per_tensor_default_157 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_94, 0.013925882056355476, -101, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1616357Z %aten_mean_dim_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_157, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:43.1618887Z %quantized_decomposed_quantize_per_tensor_default_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_8, 0.013925882056355476, -101, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1622077Z %quantized_decomposed_dequantize_per_tensor_default_158 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_95, 0.013925882056355476, -101, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1625159Z %quantized_decomposed_dequantize_per_tensor_default_159 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param48, 0.009612107649445534, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1628233Z %aten_convolution_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_158, %quantized_decomposed_dequantize_per_tensor_default_159, %p_features_11_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1630747Z %aten_relu_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_48,), kwargs = {}) 2024-06-26T05:16:43.1633165Z %quantized_decomposed_quantize_per_tensor_default_96 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_13, 0.011333034373819828, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1636303Z %quantized_decomposed_dequantize_per_tensor_default_160 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_96, 0.011333034373819828, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1639545Z %quantized_decomposed_dequantize_per_tensor_default_161 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param49, 0.01122909877449274, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1642565Z %aten_convolution_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_160, %quantized_decomposed_dequantize_per_tensor_default_161, %p_features_11_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1645798Z %quantized_decomposed_quantize_per_tensor_default_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_49, 0.025972450152039528, 42, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1648979Z %quantized_decomposed_dequantize_per_tensor_default_162 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_97, 0.025972450152039528, 42, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1651478Z %aten__to_copy_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant104,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.1653585Z %aten_add_tensor_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_162, %aten__to_copy_default_25), kwargs = {}) 2024-06-26T05:16:43.1655503Z %aten_clamp_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_30, 0), kwargs = {}) 2024-06-26T05:16:43.1657216Z %aten_clamp_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_50, None, 6), kwargs = {}) 2024-06-26T05:16:43.1659031Z %aten_div_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_51, %_lifted_tensor_constant105), kwargs = {}) 2024-06-26T05:16:43.1661590Z %quantized_decomposed_quantize_per_tensor_default_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_25, 0.003404785878956318, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1664717Z %quantized_decomposed_dequantize_per_tensor_default_163 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_98, 0.003404785878956318, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1667567Z %aten_mul_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_163, %quantized_decomposed_dequantize_per_tensor_default_156), kwargs = {}) 2024-06-26T05:16:43.1670360Z %quantized_decomposed_quantize_per_tensor_default_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_25, 0.0035743992775678635, -38, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1673502Z %quantized_decomposed_dequantize_per_tensor_default_164 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_99, 0.0035743992775678635, -38, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1676598Z %quantized_decomposed_dequantize_per_tensor_default_165 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param50, 0.020246243104338646, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1679809Z %aten_convolution_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_164, %quantized_decomposed_dequantize_per_tensor_default_165, %p_features_11_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1683055Z %quantized_decomposed_quantize_per_tensor_default_100 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_50, 0.012693964876234531, -26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1686198Z %quantized_decomposed_dequantize_per_tensor_default_166 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_100, 0.012693964876234531, -26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1689006Z %aten_add_tensor_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_166, %quantized_decomposed_dequantize_per_tensor_default_149), kwargs = {}) 2024-06-26T05:16:43.1691783Z %quantized_decomposed_quantize_per_tensor_default_101 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_add_tensor_31, 0.01864243857562542, -6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1694884Z %quantized_decomposed_dequantize_per_tensor_default_167 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_101, 0.01864243857562542, -6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1697942Z %quantized_decomposed_dequantize_per_tensor_default_168 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param51, 0.009127296507358551, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1700994Z %aten_convolution_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_167, %quantized_decomposed_dequantize_per_tensor_default_168, %p_features_12_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:43.1704275Z %quantized_decomposed_quantize_per_tensor_default_102 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_51, 0.04580980911850929, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1707401Z %quantized_decomposed_dequantize_per_tensor_default_169 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_102, 0.04580980911850929, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1709882Z %aten__to_copy_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant106,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.1711993Z %aten_add_tensor_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_169, %aten__to_copy_default_26), kwargs = {}) 2024-06-26T05:16:43.1713931Z %aten_clamp_default_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_32, 0), kwargs = {}) 2024-06-26T05:16:43.1715660Z %aten_clamp_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_52, None, 6), kwargs = {}) 2024-06-26T05:16:43.1717615Z %aten_mul_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_169, %aten_clamp_default_53), kwargs = {}) 2024-06-26T05:16:43.1719781Z %aten_div_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_26, %_lifted_tensor_constant107), kwargs = {}) 2024-06-26T05:16:43.1722254Z %quantized_decomposed_quantize_per_tensor_default_103 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_26, 0.020274875685572624, -110, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1725417Z %quantized_decomposed_dequantize_per_tensor_default_170 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_103, 0.020274875685572624, -110, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1728104Z %aten_mean_dim_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_170, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:43.1730680Z %quantized_decomposed_quantize_per_tensor_default_104 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_9, 0.020274875685572624, -110, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1733793Z %quantized_decomposed_dequantize_per_tensor_default_171 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_104, 0.020274875685572624, -110, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1736516Z %aten_view_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_tensor_default_171, [1, 576]), kwargs = {}) 2024-06-26T05:16:43.1739151Z %quantized_decomposed_quantize_per_tensor_default_105 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_view_copy_default, 0.020274875685572624, -110, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1742425Z %quantized_decomposed_dequantize_per_tensor_default_172 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_105, 0.020274875685572624, -110, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1745689Z %quantized_decomposed_dequantize_per_tensor_default_173 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param52, 0.01189471036195755, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1748125Z %aten_permute_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_tensor_default_173, [1, 0]), kwargs = {}) 2024-06-26T05:16:43.1750482Z %aten_addmm_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.addmm.default](args = (%p_classifier_0_bias, %quantized_decomposed_dequantize_per_tensor_default_172, %aten_permute_copy_default), kwargs = {}) 2024-06-26T05:16:43.1753256Z %quantized_decomposed_quantize_per_tensor_default_106 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_addmm_default, 0.027926508337259293, 52, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1756461Z %quantized_decomposed_dequantize_per_tensor_default_174 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_106, 0.027926508337259293, 52, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1759144Z %aten__to_copy_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant108,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:43.1761209Z %aten_add_tensor_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_174, %aten__to_copy_default_27), kwargs = {}) 2024-06-26T05:16:43.1763131Z %aten_clamp_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_33, 0), kwargs = {}) 2024-06-26T05:16:43.1764891Z %aten_clamp_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_54, None, 6), kwargs = {}) 2024-06-26T05:16:43.1766845Z %aten_mul_tensor_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_174, %aten_clamp_default_55), kwargs = {}) 2024-06-26T05:16:43.1768895Z %aten_div_tensor_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_27, %_lifted_tensor_constant109), kwargs = {}) 2024-06-26T05:16:43.1771376Z %quantized_decomposed_quantize_per_tensor_default_107 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_27, 0.008509001694619656, -84, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1774477Z %quantized_decomposed_dequantize_per_tensor_default_175 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_107, 0.008509001694619656, -84, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1777655Z %quantized_decomposed_dequantize_per_tensor_default_176 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param53, 0.005898590665310621, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1780257Z %aten_permute_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_tensor_default_176, [1, 0]), kwargs = {}) 2024-06-26T05:16:43.1782597Z %aten_addmm_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.addmm.default](args = (%p_classifier_3_bias, %quantized_decomposed_dequantize_per_tensor_default_175, %aten_permute_copy_default_1), kwargs = {}) 2024-06-26T05:16:43.1785396Z %quantized_decomposed_quantize_per_tensor_default_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_addmm_default_1, 0.03981552645564079, -26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1788672Z %quantized_decomposed_dequantize_per_tensor_default_177 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_108, 0.03981552645564079, -26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:16:43.1790547Z return (quantized_decomposed_dequantize_per_tensor_default_177,) 2024-06-26T05:16:43.1791354Z [INFO 2024-06-26 05:16:43,011 example.py:190] Export time: 6.1276468459982425s 2024-06-26T05:16:45.0133173Z [INFO 2024-06-26 05:16:45,012 utils.py:114] Saved exported program to mv3_quantized.pte 2024-06-26T05:16:45.0134105Z [INFO 2024-06-26 05:16:45,012 example.py:200] Save time: 2.00174835499638s 2024-06-26T05:16:45.0134803Z [INFO 2024-06-26 05:16:45,012 example.py:201] finished 2024-06-26T05:16:45.6218281Z Running executor_runner 2024-06-26T05:16:45.9762768Z Output 0: tensor(sizes=[1, 1000], [ 2024-06-26T05:16:45.9764324Z -0.557417, 0.35834, -3.10561, -3.82229, -3.10561, 0.238893, -1.87133, -1.95096, -1.35373, 0.0398155, 2024-06-26T05:16:45.9765733Z 0.0796311, 0.199078, -0.199078, -1.19447, -0.119447, -0.637048, 0.676864, -1.55281, -0.756495, -1.15465, 2024-06-26T05:16:45.9766747Z -1.75188, 1.43336, 0.477786, 0.796311, -1.59262, -3.14543, -1.19447, -2.18985, -1.63244, -0.836126, 2024-06-26T05:16:45.9767737Z -3.46395, 0.238893, -0.716679, -0.756495, 0.437971, -3.02598, -0.597233, -3.3445, 1.83151, -2.03059, 2024-06-26T05:16:45.9768726Z 0.199078, -0.0398155, -0.437971, 0., -0.875942, -0.637048, -0.0796311, 0.875942, -2.78709, -3.78247, 2024-06-26T05:16:45.9769886Z -3.5834, -0.955573, 1.23428, -0.199078, -0.0398155, -1.23428, 0., -0.278709, -2.46856, 0.637048, 2024-06-26T05:16:45.9770898Z 0.278709, -0.278709, -0.477786, -0.0796311, 0.437971, -0.477786, 0.517602, -1.11483, -0.517602, -1.15465, 2024-06-26T05:16:45.9771931Z -0.477786, -1.11483, 0.318524, 1.63244, -0.796311, 0.0796311, 0.159262, -0.0796311, 2.03059, -0.477786, 2024-06-26T05:16:45.9773010Z 0.637048, -1.43336, -1.2741, -1.0352, -1.2741, -0.0398155, -0.35834, -0.159262, 0.676864, 0.35834, 2024-06-26T05:16:45.9773988Z 0.318524, -0.0398155, 1.2741, -1.35373, -0.955573, -1.11483, -0.597233, -1.55281, 0.278709, -1.51299, 2024-06-26T05:16:45.9774625Z ..., 2024-06-26T05:16:45.9775182Z 0.796311, 0.0796311, 2.70746, 1.39354, 5.3751, 5.1362, 5.57417, 0., 0.0398155, -0.557417, 2024-06-26T05:16:45.9776167Z 0.955573, 3.90192, 0.716679, -2.38893, 0.159262, 0.676864, 2.26948, 1.19447, -0.159262, 1.59262, 2024-06-26T05:16:45.9777770Z 1.19447, 4.14081, -0.0796311, 1.31391, -0.955573, 1.2741, 0.796311, 0.318524, 0.756495, 1.51299, 2024-06-26T05:16:45.9779275Z 2.46856, -1.2741, -1.35373, -0.756495, -0.836126, 0.318524, -1.0352, -1.63244, -0.756495, -0.0398155, 2024-06-26T05:16:45.9780374Z -0.398155, -1.51299, -0.0796311, -0.676864, -0.796311, -0.915757, -0.716679, -1.07502, 1.15465, -0.517602, 2024-06-26T05:16:45.9781406Z -0.278709, -0.199078, -1.11483, -1.11483, -0.637048, -0.676864, -0.955573, -1.07502, -0.955573, -1.23428, 2024-06-26T05:16:45.9782384Z 1.63244, 1.07502, 1.0352, -0.756495, 1.83151, 0.875942, 0.955573, 2.38893, 2.11022, 3.5834, 2024-06-26T05:16:45.9783435Z 0.716679, 2.78709, -1.2741, -0.955573, 2.15004, 0.836126, 0., 1.99078, 0.557417, -0.398155, 2024-06-26T05:16:45.9784388Z 0.995388, 1.99078, 3.02598, -1.63244, -2.07041, 0.238893, -1.19447, -0.637048, -0.796311, -0.278709, 2024-06-26T05:16:45.9785386Z -1.07502, -1.43336, -2.11022, -1.83151, -2.38893, -0.398155, 0.0796311, -1.87133, -0.637048, 2.07041, 2024-06-26T05:16:45.9786009Z ]) 2024-06-26T05:16:45.9786270Z Removing mv3_quantized.pte 2024-06-26T05:16:45.9803175Z ++ return 0 2024-06-26T05:16:45.9803782Z ++ echo ::endgroup:: 2024-06-26T05:16:45.9804483Z ##[endgroup] 2024-06-26T05:16:45.9805024Z ++ [[ xnnpack-quantization-delegation == *\d\e\l\e\g\a\t\i\o\n* ]] 2024-06-26T05:16:45.9805801Z ++ echo '::group::Testing mv3 with XNNPACK delegation only...' 2024-06-26T05:16:45.9807119Z ##[group]Testing mv3 with XNNPACK delegation only... 2024-06-26T05:16:45.9807607Z ++ test_model_with_xnnpack false true 2024-06-26T05:16:45.9808151Z ++ WITH_QUANTIZATION=false 2024-06-26T05:16:45.9808482Z ++ WITH_DELEGATION=true 2024-06-26T05:16:45.9808799Z ++ [[ false == true ]] 2024-06-26T05:16:45.9809105Z ++ [[ false == true ]] 2024-06-26T05:16:45.9809393Z ++ SUFFIX=fp32 2024-06-26T05:16:45.9809926Z ++ python -m examples.xnnpack.aot_compiler --model_name=mv3 --delegate 2024-06-26T05:16:47.9830671Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/passes/_quant_patterns_and_replacements.py:106: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-06-26T05:16:47.9832820Z @impl_abstract("quantized_decomposed::embedding_byte.out") 2024-06-26T05:16:48.0015159Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/passes/_quant_patterns_and_replacements.py:153: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-06-26T05:16:48.0017366Z @impl_abstract("quantized_decomposed::embedding_byte.dtype_out") 2024-06-26T05:16:48.0020392Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/passes/_quant_patterns_and_replacements.py:228: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-06-26T05:16:48.0022986Z @impl_abstract("quantized_decomposed::embedding_4bit.out") 2024-06-26T05:16:48.0025195Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/passes/_quant_patterns_and_replacements.py:281: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-06-26T05:16:48.0027283Z @impl_abstract("quantized_decomposed::embedding_4bit.dtype_out") 2024-06-26T05:16:48.4395551Z INFO:root:Loading mobilenet_v3 model 2024-06-26T05:16:48.4964153Z INFO:root:Loaded mobilenet_v3 model 2024-06-26T05:16:48.5005382Z W0626 05:16:48.500000 140431496902464 torch/_export/__init__.py:92] +============================+ 2024-06-26T05:16:48.5007281Z W0626 05:16:48.500000 140431496902464 torch/_export/__init__.py:93] | !!! WARNING !!! | 2024-06-26T05:16:48.5008888Z W0626 05:16:48.500000 140431496902464 torch/_export/__init__.py:94] +============================+ 2024-06-26T05:16:48.5011592Z W0626 05:16:48.500000 140431496902464 torch/_export/__init__.py:95] capture_pre_autograd_graph() is deprecated and doesn't provide any function guarantee moving forward. 2024-06-26T05:16:48.5013916Z W0626 05:16:48.500000 140431496902464 torch/_export/__init__.py:96] Please switch to use torch.export instead. 2024-06-26T05:16:52.3688143Z INFO:root:Core ATen graph: 2024-06-26T05:16:52.3688687Z graph(): 2024-06-26T05:16:52.3689220Z %p_features_0_0_weight : [num_users=1] = placeholder[target=p_features_0_0_weight] 2024-06-26T05:16:52.3690957Z %p_features_0_1_weight : [num_users=1] = placeholder[target=p_features_0_1_weight] 2024-06-26T05:16:52.3693521Z %p_features_0_1_bias : [num_users=1] = placeholder[target=p_features_0_1_bias] 2024-06-26T05:16:52.3695215Z %p_features_1_block_0_0_weight : [num_users=1] = placeholder[target=p_features_1_block_0_0_weight] 2024-06-26T05:16:52.3696773Z %p_features_1_block_0_1_weight : [num_users=1] = placeholder[target=p_features_1_block_0_1_weight] 2024-06-26T05:16:52.3698359Z %p_features_1_block_0_1_bias : [num_users=1] = placeholder[target=p_features_1_block_0_1_bias] 2024-06-26T05:16:52.3700243Z %p_features_1_block_1_fc1_weight : [num_users=1] = placeholder[target=p_features_1_block_1_fc1_weight] 2024-06-26T05:16:52.3703592Z %p_features_1_block_1_fc1_bias : [num_users=1] = placeholder[target=p_features_1_block_1_fc1_bias] 2024-06-26T05:16:52.3708054Z %p_features_1_block_1_fc2_weight : [num_users=1] = placeholder[target=p_features_1_block_1_fc2_weight] 2024-06-26T05:16:52.3709450Z %p_features_1_block_1_fc2_bias : [num_users=1] = placeholder[target=p_features_1_block_1_fc2_bias] 2024-06-26T05:16:52.3710411Z %p_features_1_block_2_0_weight : [num_users=1] = placeholder[target=p_features_1_block_2_0_weight] 2024-06-26T05:16:52.3711364Z %p_features_1_block_2_1_weight : [num_users=1] = placeholder[target=p_features_1_block_2_1_weight] 2024-06-26T05:16:52.3712288Z %p_features_1_block_2_1_bias : [num_users=1] = placeholder[target=p_features_1_block_2_1_bias] 2024-06-26T05:16:52.3713200Z %p_features_2_block_0_0_weight : [num_users=1] = placeholder[target=p_features_2_block_0_0_weight] 2024-06-26T05:16:52.3714135Z %p_features_2_block_0_1_weight : [num_users=1] = placeholder[target=p_features_2_block_0_1_weight] 2024-06-26T05:16:52.3715053Z %p_features_2_block_0_1_bias : [num_users=1] = placeholder[target=p_features_2_block_0_1_bias] 2024-06-26T05:16:52.3715967Z %p_features_2_block_1_0_weight : [num_users=1] = placeholder[target=p_features_2_block_1_0_weight] 2024-06-26T05:16:52.3716909Z %p_features_2_block_1_1_weight : [num_users=1] = placeholder[target=p_features_2_block_1_1_weight] 2024-06-26T05:16:52.3717837Z %p_features_2_block_1_1_bias : [num_users=1] = placeholder[target=p_features_2_block_1_1_bias] 2024-06-26T05:16:52.3718916Z %p_features_2_block_2_0_weight : [num_users=1] = placeholder[target=p_features_2_block_2_0_weight] 2024-06-26T05:16:52.3719938Z %p_features_2_block_2_1_weight : [num_users=1] = placeholder[target=p_features_2_block_2_1_weight] 2024-06-26T05:16:52.3720867Z %p_features_2_block_2_1_bias : [num_users=1] = placeholder[target=p_features_2_block_2_1_bias] 2024-06-26T05:16:52.3721794Z %p_features_3_block_0_0_weight : [num_users=1] = placeholder[target=p_features_3_block_0_0_weight] 2024-06-26T05:16:52.3722799Z %p_features_3_block_0_1_weight : [num_users=1] = placeholder[target=p_features_3_block_0_1_weight] 2024-06-26T05:16:52.3723704Z %p_features_3_block_0_1_bias : [num_users=1] = placeholder[target=p_features_3_block_0_1_bias] 2024-06-26T05:16:52.3724632Z %p_features_3_block_1_0_weight : [num_users=1] = placeholder[target=p_features_3_block_1_0_weight] 2024-06-26T05:16:52.3725577Z %p_features_3_block_1_1_weight : [num_users=1] = placeholder[target=p_features_3_block_1_1_weight] 2024-06-26T05:16:52.3726487Z %p_features_3_block_1_1_bias : [num_users=1] = placeholder[target=p_features_3_block_1_1_bias] 2024-06-26T05:16:52.3727413Z %p_features_3_block_2_0_weight : [num_users=1] = placeholder[target=p_features_3_block_2_0_weight] 2024-06-26T05:16:52.3728355Z %p_features_3_block_2_1_weight : [num_users=1] = placeholder[target=p_features_3_block_2_1_weight] 2024-06-26T05:16:52.3729274Z %p_features_3_block_2_1_bias : [num_users=1] = placeholder[target=p_features_3_block_2_1_bias] 2024-06-26T05:16:52.3730185Z %p_features_4_block_0_0_weight : [num_users=1] = placeholder[target=p_features_4_block_0_0_weight] 2024-06-26T05:16:52.3731125Z %p_features_4_block_0_1_weight : [num_users=1] = placeholder[target=p_features_4_block_0_1_weight] 2024-06-26T05:16:52.3732094Z %p_features_4_block_0_1_bias : [num_users=1] = placeholder[target=p_features_4_block_0_1_bias] 2024-06-26T05:16:52.3732998Z %p_features_4_block_1_0_weight : [num_users=1] = placeholder[target=p_features_4_block_1_0_weight] 2024-06-26T05:16:52.3733934Z %p_features_4_block_1_1_weight : [num_users=1] = placeholder[target=p_features_4_block_1_1_weight] 2024-06-26T05:16:52.3734846Z %p_features_4_block_1_1_bias : [num_users=1] = placeholder[target=p_features_4_block_1_1_bias] 2024-06-26T05:16:52.3735789Z %p_features_4_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_4_block_2_fc1_weight] 2024-06-26T05:16:52.3736739Z %p_features_4_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_4_block_2_fc1_bias] 2024-06-26T05:16:52.3737763Z %p_features_4_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_4_block_2_fc2_weight] 2024-06-26T05:16:52.3738726Z %p_features_4_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_4_block_2_fc2_bias] 2024-06-26T05:16:52.3739661Z %p_features_4_block_3_0_weight : [num_users=1] = placeholder[target=p_features_4_block_3_0_weight] 2024-06-26T05:16:52.3740672Z %p_features_4_block_3_1_weight : [num_users=1] = placeholder[target=p_features_4_block_3_1_weight] 2024-06-26T05:16:52.3741590Z %p_features_4_block_3_1_bias : [num_users=1] = placeholder[target=p_features_4_block_3_1_bias] 2024-06-26T05:16:52.3742511Z %p_features_5_block_0_0_weight : [num_users=1] = placeholder[target=p_features_5_block_0_0_weight] 2024-06-26T05:16:52.3743439Z %p_features_5_block_0_1_weight : [num_users=1] = placeholder[target=p_features_5_block_0_1_weight] 2024-06-26T05:16:52.3744365Z %p_features_5_block_0_1_bias : [num_users=1] = placeholder[target=p_features_5_block_0_1_bias] 2024-06-26T05:16:52.3745294Z %p_features_5_block_1_0_weight : [num_users=1] = placeholder[target=p_features_5_block_1_0_weight] 2024-06-26T05:16:52.3746221Z %p_features_5_block_1_1_weight : [num_users=1] = placeholder[target=p_features_5_block_1_1_weight] 2024-06-26T05:16:52.3747139Z %p_features_5_block_1_1_bias : [num_users=1] = placeholder[target=p_features_5_block_1_1_bias] 2024-06-26T05:16:52.3748082Z %p_features_5_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_5_block_2_fc1_weight] 2024-06-26T05:16:52.3749096Z %p_features_5_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_5_block_2_fc1_bias] 2024-06-26T05:16:52.3750057Z %p_features_5_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_5_block_2_fc2_weight] 2024-06-26T05:16:52.3751019Z %p_features_5_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_5_block_2_fc2_bias] 2024-06-26T05:16:52.3752004Z %p_features_5_block_3_0_weight : [num_users=1] = placeholder[target=p_features_5_block_3_0_weight] 2024-06-26T05:16:52.3752928Z %p_features_5_block_3_1_weight : [num_users=1] = placeholder[target=p_features_5_block_3_1_weight] 2024-06-26T05:16:52.3753840Z %p_features_5_block_3_1_bias : [num_users=1] = placeholder[target=p_features_5_block_3_1_bias] 2024-06-26T05:16:52.3754764Z %p_features_6_block_0_0_weight : [num_users=1] = placeholder[target=p_features_6_block_0_0_weight] 2024-06-26T05:16:52.3755711Z %p_features_6_block_0_1_weight : [num_users=1] = placeholder[target=p_features_6_block_0_1_weight] 2024-06-26T05:16:52.3756621Z %p_features_6_block_0_1_bias : [num_users=1] = placeholder[target=p_features_6_block_0_1_bias] 2024-06-26T05:16:52.3757544Z %p_features_6_block_1_0_weight : [num_users=1] = placeholder[target=p_features_6_block_1_0_weight] 2024-06-26T05:16:52.3758569Z %p_features_6_block_1_1_weight : [num_users=1] = placeholder[target=p_features_6_block_1_1_weight] 2024-06-26T05:16:52.3759477Z %p_features_6_block_1_1_bias : [num_users=1] = placeholder[target=p_features_6_block_1_1_bias] 2024-06-26T05:16:52.3760432Z %p_features_6_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_6_block_2_fc1_weight] 2024-06-26T05:16:52.3761447Z %p_features_6_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_6_block_2_fc1_bias] 2024-06-26T05:16:52.3762415Z %p_features_6_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_6_block_2_fc2_weight] 2024-06-26T05:16:52.3763365Z %p_features_6_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_6_block_2_fc2_bias] 2024-06-26T05:16:52.3764316Z %p_features_6_block_3_0_weight : [num_users=1] = placeholder[target=p_features_6_block_3_0_weight] 2024-06-26T05:16:52.3765257Z %p_features_6_block_3_1_weight : [num_users=1] = placeholder[target=p_features_6_block_3_1_weight] 2024-06-26T05:16:52.3766169Z %p_features_6_block_3_1_bias : [num_users=1] = placeholder[target=p_features_6_block_3_1_bias] 2024-06-26T05:16:52.3767126Z %p_features_7_block_0_0_weight : [num_users=1] = placeholder[target=p_features_7_block_0_0_weight] 2024-06-26T05:16:52.3768071Z %p_features_7_block_0_1_weight : [num_users=1] = placeholder[target=p_features_7_block_0_1_weight] 2024-06-26T05:16:52.3768987Z %p_features_7_block_0_1_bias : [num_users=1] = placeholder[target=p_features_7_block_0_1_bias] 2024-06-26T05:16:52.3769897Z %p_features_7_block_1_0_weight : [num_users=1] = placeholder[target=p_features_7_block_1_0_weight] 2024-06-26T05:16:52.3770843Z %p_features_7_block_1_1_weight : [num_users=1] = placeholder[target=p_features_7_block_1_1_weight] 2024-06-26T05:16:52.3771757Z %p_features_7_block_1_1_bias : [num_users=1] = placeholder[target=p_features_7_block_1_1_bias] 2024-06-26T05:16:52.3772710Z %p_features_7_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_7_block_2_fc1_weight] 2024-06-26T05:16:52.3773658Z %p_features_7_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_7_block_2_fc1_bias] 2024-06-26T05:16:52.3774882Z %p_features_7_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_7_block_2_fc2_weight] 2024-06-26T05:16:52.3775848Z %p_features_7_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_7_block_2_fc2_bias] 2024-06-26T05:16:52.3776785Z %p_features_7_block_3_0_weight : [num_users=1] = placeholder[target=p_features_7_block_3_0_weight] 2024-06-26T05:16:52.3777719Z %p_features_7_block_3_1_weight : [num_users=1] = placeholder[target=p_features_7_block_3_1_weight] 2024-06-26T05:16:52.3778684Z %p_features_7_block_3_1_bias : [num_users=1] = placeholder[target=p_features_7_block_3_1_bias] 2024-06-26T05:16:52.3779609Z %p_features_8_block_0_0_weight : [num_users=1] = placeholder[target=p_features_8_block_0_0_weight] 2024-06-26T05:16:52.3780591Z %p_features_8_block_0_1_weight : [num_users=1] = placeholder[target=p_features_8_block_0_1_weight] 2024-06-26T05:16:52.3781521Z %p_features_8_block_0_1_bias : [num_users=1] = placeholder[target=p_features_8_block_0_1_bias] 2024-06-26T05:16:52.3782518Z %p_features_8_block_1_0_weight : [num_users=1] = placeholder[target=p_features_8_block_1_0_weight] 2024-06-26T05:16:52.3783458Z %p_features_8_block_1_1_weight : [num_users=1] = placeholder[target=p_features_8_block_1_1_weight] 2024-06-26T05:16:52.3784381Z %p_features_8_block_1_1_bias : [num_users=1] = placeholder[target=p_features_8_block_1_1_bias] 2024-06-26T05:16:52.3785392Z %p_features_8_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_8_block_2_fc1_weight] 2024-06-26T05:16:52.3786466Z %p_features_8_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_8_block_2_fc1_bias] 2024-06-26T05:16:52.3787421Z %p_features_8_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_8_block_2_fc2_weight] 2024-06-26T05:16:52.3788389Z %p_features_8_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_8_block_2_fc2_bias] 2024-06-26T05:16:52.3789345Z %p_features_8_block_3_0_weight : [num_users=1] = placeholder[target=p_features_8_block_3_0_weight] 2024-06-26T05:16:52.3790291Z %p_features_8_block_3_1_weight : [num_users=1] = placeholder[target=p_features_8_block_3_1_weight] 2024-06-26T05:16:52.3791239Z %p_features_8_block_3_1_bias : [num_users=1] = placeholder[target=p_features_8_block_3_1_bias] 2024-06-26T05:16:52.3792173Z %p_features_9_block_0_0_weight : [num_users=1] = placeholder[target=p_features_9_block_0_0_weight] 2024-06-26T05:16:52.3793117Z %p_features_9_block_0_1_weight : [num_users=1] = placeholder[target=p_features_9_block_0_1_weight] 2024-06-26T05:16:52.3794027Z %p_features_9_block_0_1_bias : [num_users=1] = placeholder[target=p_features_9_block_0_1_bias] 2024-06-26T05:16:52.3794959Z %p_features_9_block_1_0_weight : [num_users=1] = placeholder[target=p_features_9_block_1_0_weight] 2024-06-26T05:16:52.3795907Z %p_features_9_block_1_1_weight : [num_users=1] = placeholder[target=p_features_9_block_1_1_weight] 2024-06-26T05:16:52.3796875Z %p_features_9_block_1_1_bias : [num_users=1] = placeholder[target=p_features_9_block_1_1_bias] 2024-06-26T05:16:52.3797811Z %p_features_9_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_9_block_2_fc1_weight] 2024-06-26T05:16:52.3798853Z %p_features_9_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_9_block_2_fc1_bias] 2024-06-26T05:16:52.3799830Z %p_features_9_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_9_block_2_fc2_weight] 2024-06-26T05:16:52.3800784Z %p_features_9_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_9_block_2_fc2_bias] 2024-06-26T05:16:52.3801735Z %p_features_9_block_3_0_weight : [num_users=1] = placeholder[target=p_features_9_block_3_0_weight] 2024-06-26T05:16:52.3802675Z %p_features_9_block_3_1_weight : [num_users=1] = placeholder[target=p_features_9_block_3_1_weight] 2024-06-26T05:16:52.3803590Z %p_features_9_block_3_1_bias : [num_users=1] = placeholder[target=p_features_9_block_3_1_bias] 2024-06-26T05:16:52.3804520Z %p_features_10_block_0_0_weight : [num_users=1] = placeholder[target=p_features_10_block_0_0_weight] 2024-06-26T05:16:52.3805488Z %p_features_10_block_0_1_weight : [num_users=1] = placeholder[target=p_features_10_block_0_1_weight] 2024-06-26T05:16:52.3806433Z %p_features_10_block_0_1_bias : [num_users=1] = placeholder[target=p_features_10_block_0_1_bias] 2024-06-26T05:16:52.3807367Z %p_features_10_block_1_0_weight : [num_users=1] = placeholder[target=p_features_10_block_1_0_weight] 2024-06-26T05:16:52.3808384Z %p_features_10_block_1_1_weight : [num_users=1] = placeholder[target=p_features_10_block_1_1_weight] 2024-06-26T05:16:52.3809332Z %p_features_10_block_1_1_bias : [num_users=1] = placeholder[target=p_features_10_block_1_1_bias] 2024-06-26T05:16:52.3810297Z %p_features_10_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_10_block_2_fc1_weight] 2024-06-26T05:16:52.3811268Z %p_features_10_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_10_block_2_fc1_bias] 2024-06-26T05:16:52.3812308Z %p_features_10_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_10_block_2_fc2_weight] 2024-06-26T05:16:52.3813288Z %p_features_10_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_10_block_2_fc2_bias] 2024-06-26T05:16:52.3814245Z %p_features_10_block_3_0_weight : [num_users=1] = placeholder[target=p_features_10_block_3_0_weight] 2024-06-26T05:16:52.3815208Z %p_features_10_block_3_1_weight : [num_users=1] = placeholder[target=p_features_10_block_3_1_weight] 2024-06-26T05:16:52.3816153Z %p_features_10_block_3_1_bias : [num_users=1] = placeholder[target=p_features_10_block_3_1_bias] 2024-06-26T05:16:52.3817099Z %p_features_11_block_0_0_weight : [num_users=1] = placeholder[target=p_features_11_block_0_0_weight] 2024-06-26T05:16:52.3818049Z %p_features_11_block_0_1_weight : [num_users=1] = placeholder[target=p_features_11_block_0_1_weight] 2024-06-26T05:16:52.3818995Z %p_features_11_block_0_1_bias : [num_users=1] = placeholder[target=p_features_11_block_0_1_bias] 2024-06-26T05:16:52.3820005Z %p_features_11_block_1_0_weight : [num_users=1] = placeholder[target=p_features_11_block_1_0_weight] 2024-06-26T05:16:52.3821015Z %p_features_11_block_1_1_weight : [num_users=1] = placeholder[target=p_features_11_block_1_1_weight] 2024-06-26T05:16:52.3821958Z %p_features_11_block_1_1_bias : [num_users=1] = placeholder[target=p_features_11_block_1_1_bias] 2024-06-26T05:16:52.3822922Z %p_features_11_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_11_block_2_fc1_weight] 2024-06-26T05:16:52.3823910Z %p_features_11_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_11_block_2_fc1_bias] 2024-06-26T05:16:52.3824882Z %p_features_11_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_11_block_2_fc2_weight] 2024-06-26T05:16:52.3825864Z %p_features_11_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_11_block_2_fc2_bias] 2024-06-26T05:16:52.3826875Z %p_features_11_block_3_0_weight : [num_users=1] = placeholder[target=p_features_11_block_3_0_weight] 2024-06-26T05:16:52.3827828Z %p_features_11_block_3_1_weight : [num_users=1] = placeholder[target=p_features_11_block_3_1_weight] 2024-06-26T05:16:52.3828749Z %p_features_11_block_3_1_bias : [num_users=1] = placeholder[target=p_features_11_block_3_1_bias] 2024-06-26T05:16:52.3829627Z %p_features_12_0_weight : [num_users=1] = placeholder[target=p_features_12_0_weight] 2024-06-26T05:16:52.3830451Z %p_features_12_1_weight : [num_users=1] = placeholder[target=p_features_12_1_weight] 2024-06-26T05:16:52.3831237Z %p_features_12_1_bias : [num_users=1] = placeholder[target=p_features_12_1_bias] 2024-06-26T05:16:52.3832040Z %p_classifier_0_weight : [num_users=1] = placeholder[target=p_classifier_0_weight] 2024-06-26T05:16:52.3832835Z %p_classifier_0_bias : [num_users=1] = placeholder[target=p_classifier_0_bias] 2024-06-26T05:16:52.3833618Z %p_classifier_3_weight : [num_users=1] = placeholder[target=p_classifier_3_weight] 2024-06-26T05:16:52.3834418Z %p_classifier_3_bias : [num_users=1] = placeholder[target=p_classifier_3_bias] 2024-06-26T05:16:52.3835260Z %b_features_0_1_running_mean : [num_users=1] = placeholder[target=b_features_0_1_running_mean] 2024-06-26T05:16:52.3836161Z %b_features_0_1_running_var : [num_users=1] = placeholder[target=b_features_0_1_running_var] 2024-06-26T05:16:52.3837123Z %b_features_1_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_1_block_0_1_running_mean] 2024-06-26T05:16:52.3838345Z %b_features_1_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_1_block_0_1_running_var] 2024-06-26T05:16:52.3839390Z %b_features_1_block_2_1_running_mean : [num_users=1] = placeholder[target=b_features_1_block_2_1_running_mean] 2024-06-26T05:16:52.3840427Z %b_features_1_block_2_1_running_var : [num_users=1] = placeholder[target=b_features_1_block_2_1_running_var] 2024-06-26T05:16:52.3841517Z %b_features_2_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_2_block_0_1_running_mean] 2024-06-26T05:16:52.3842563Z %b_features_2_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_2_block_0_1_running_var] 2024-06-26T05:16:52.3843599Z %b_features_2_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_2_block_1_1_running_mean] 2024-06-26T05:16:52.3844632Z %b_features_2_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_2_block_1_1_running_var] 2024-06-26T05:16:52.3845671Z %b_features_2_block_2_1_running_mean : [num_users=1] = placeholder[target=b_features_2_block_2_1_running_mean] 2024-06-26T05:16:52.3846717Z %b_features_2_block_2_1_running_var : [num_users=1] = placeholder[target=b_features_2_block_2_1_running_var] 2024-06-26T05:16:52.3847759Z %b_features_3_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_3_block_0_1_running_mean] 2024-06-26T05:16:52.3848795Z %b_features_3_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_3_block_0_1_running_var] 2024-06-26T05:16:52.3849832Z %b_features_3_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_3_block_1_1_running_mean] 2024-06-26T05:16:52.3850919Z %b_features_3_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_3_block_1_1_running_var] 2024-06-26T05:16:52.3851955Z %b_features_3_block_2_1_running_mean : [num_users=1] = placeholder[target=b_features_3_block_2_1_running_mean] 2024-06-26T05:16:52.3852995Z %b_features_3_block_2_1_running_var : [num_users=1] = placeholder[target=b_features_3_block_2_1_running_var] 2024-06-26T05:16:52.3854135Z %b_features_4_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_4_block_0_1_running_mean] 2024-06-26T05:16:52.3855283Z %b_features_4_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_4_block_0_1_running_var] 2024-06-26T05:16:52.3856377Z %b_features_4_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_4_block_1_1_running_mean] 2024-06-26T05:16:52.3857640Z %b_features_4_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_4_block_1_1_running_var] 2024-06-26T05:16:52.3858782Z %b_features_4_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_4_block_3_1_running_mean] 2024-06-26T05:16:52.3859915Z %b_features_4_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_4_block_3_1_running_var] 2024-06-26T05:16:52.3861145Z %b_features_5_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_5_block_0_1_running_mean] 2024-06-26T05:16:52.3862293Z %b_features_5_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_5_block_0_1_running_var] 2024-06-26T05:16:52.3863432Z %b_features_5_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_5_block_1_1_running_mean] 2024-06-26T05:16:52.3864587Z %b_features_5_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_5_block_1_1_running_var] 2024-06-26T05:16:52.3865677Z %b_features_5_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_5_block_3_1_running_mean] 2024-06-26T05:16:52.3866820Z %b_features_5_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_5_block_3_1_running_var] 2024-06-26T05:16:52.3867964Z %b_features_6_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_6_block_0_1_running_mean] 2024-06-26T05:16:52.3869159Z %b_features_6_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_6_block_0_1_running_var] 2024-06-26T05:16:52.3870250Z %b_features_6_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_6_block_1_1_running_mean] 2024-06-26T05:16:52.3881170Z %b_features_6_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_6_block_1_1_running_var] 2024-06-26T05:16:52.3882240Z %b_features_6_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_6_block_3_1_running_mean] 2024-06-26T05:16:52.3883442Z %b_features_6_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_6_block_3_1_running_var] 2024-06-26T05:16:52.3884491Z %b_features_7_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_7_block_0_1_running_mean] 2024-06-26T05:16:52.3885529Z %b_features_7_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_7_block_0_1_running_var] 2024-06-26T05:16:52.3886561Z %b_features_7_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_7_block_1_1_running_mean] 2024-06-26T05:16:52.3887603Z %b_features_7_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_7_block_1_1_running_var] 2024-06-26T05:16:52.3888652Z %b_features_7_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_7_block_3_1_running_mean] 2024-06-26T05:16:52.3889693Z %b_features_7_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_7_block_3_1_running_var] 2024-06-26T05:16:52.3890734Z %b_features_8_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_8_block_0_1_running_mean] 2024-06-26T05:16:52.3891834Z %b_features_8_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_8_block_0_1_running_var] 2024-06-26T05:16:52.3892882Z %b_features_8_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_8_block_1_1_running_mean] 2024-06-26T05:16:52.3893911Z %b_features_8_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_8_block_1_1_running_var] 2024-06-26T05:16:52.3894962Z %b_features_8_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_8_block_3_1_running_mean] 2024-06-26T05:16:52.3896005Z %b_features_8_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_8_block_3_1_running_var] 2024-06-26T05:16:52.3897052Z %b_features_9_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_9_block_0_1_running_mean] 2024-06-26T05:16:52.3898136Z %b_features_9_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_9_block_0_1_running_var] 2024-06-26T05:16:52.3899177Z %b_features_9_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_9_block_1_1_running_mean] 2024-06-26T05:16:52.3900299Z %b_features_9_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_9_block_1_1_running_var] 2024-06-26T05:16:52.3901332Z %b_features_9_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_9_block_3_1_running_mean] 2024-06-26T05:16:52.3902374Z %b_features_9_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_9_block_3_1_running_var] 2024-06-26T05:16:52.3903420Z %b_features_10_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_10_block_0_1_running_mean] 2024-06-26T05:16:52.3904480Z %b_features_10_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_10_block_0_1_running_var] 2024-06-26T05:16:52.3905543Z %b_features_10_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_10_block_1_1_running_mean] 2024-06-26T05:16:52.3906611Z %b_features_10_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_10_block_1_1_running_var] 2024-06-26T05:16:52.3907665Z %b_features_10_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_10_block_3_1_running_mean] 2024-06-26T05:16:52.3908716Z %b_features_10_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_10_block_3_1_running_var] 2024-06-26T05:16:52.3909829Z %b_features_11_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_11_block_0_1_running_mean] 2024-06-26T05:16:52.3910891Z %b_features_11_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_11_block_0_1_running_var] 2024-06-26T05:16:52.3911951Z %b_features_11_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_11_block_1_1_running_mean] 2024-06-26T05:16:52.3913034Z %b_features_11_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_11_block_1_1_running_var] 2024-06-26T05:16:52.3914090Z %b_features_11_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_11_block_3_1_running_mean] 2024-06-26T05:16:52.3915141Z %b_features_11_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_11_block_3_1_running_var] 2024-06-26T05:16:52.3916120Z %b_features_12_1_running_mean : [num_users=1] = placeholder[target=b_features_12_1_running_mean] 2024-06-26T05:16:52.3917051Z %b_features_12_1_running_var : [num_users=1] = placeholder[target=b_features_12_1_running_var] 2024-06-26T05:16:52.3917740Z %x : [num_users=1] = placeholder[target=x] 2024-06-26T05:16:52.3918833Z %conv2d : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%x, %p_features_0_0_weight, None, [2, 2], [1, 1]), kwargs = {}) 2024-06-26T05:16:52.3920911Z %_native_batch_norm_legit_no_training : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d, %p_features_0_1_weight, %p_features_0_1_bias, %b_features_0_1_running_mean, %b_features_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.3922964Z %getitem : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training, 0), kwargs = {}) 2024-06-26T05:16:52.3924208Z %hardswish : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%getitem,), kwargs = {}) 2024-06-26T05:16:52.3925694Z %conv2d_1 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%hardswish, %p_features_1_block_0_0_weight, None, [2, 2], [1, 1], [1, 1], 16), kwargs = {}) 2024-06-26T05:16:52.3928059Z %_native_batch_norm_legit_no_training_1 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_1, %p_features_1_block_0_1_weight, %p_features_1_block_0_1_bias, %b_features_1_block_0_1_running_mean, %b_features_1_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.3930242Z %getitem_3 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_1, 0), kwargs = {}) 2024-06-26T05:16:52.3931445Z %relu : [num_users=2] = call_function[target=torch.ops.aten.relu.default](args = (%getitem_3,), kwargs = {}) 2024-06-26T05:16:52.3932711Z %adaptive_avg_pool2d : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%relu, [1, 1]), kwargs = {}) 2024-06-26T05:16:52.3934355Z %conv2d_2 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%adaptive_avg_pool2d, %p_features_1_block_1_fc1_weight, %p_features_1_block_1_fc1_bias), kwargs = {}) 2024-06-26T05:16:52.3935826Z %relu_1 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_2,), kwargs = {}) 2024-06-26T05:16:52.3937242Z %conv2d_3 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu_1, %p_features_1_block_1_fc2_weight, %p_features_1_block_1_fc2_bias), kwargs = {}) 2024-06-26T05:16:52.3938741Z %hardsigmoid : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%conv2d_3,), kwargs = {}) 2024-06-26T05:16:52.3940018Z %mul : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%hardsigmoid, %relu), kwargs = {}) 2024-06-26T05:16:52.3941288Z %conv2d_4 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%mul, %p_features_1_block_2_0_weight), kwargs = {}) 2024-06-26T05:16:52.3943529Z %_native_batch_norm_legit_no_training_2 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_4, %p_features_1_block_2_1_weight, %p_features_1_block_2_1_bias, %b_features_1_block_2_1_running_mean, %b_features_1_block_2_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.3945676Z %getitem_6 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_2, 0), kwargs = {}) 2024-06-26T05:16:52.3947095Z %conv2d_5 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%getitem_6, %p_features_2_block_0_0_weight), kwargs = {}) 2024-06-26T05:16:52.3949309Z %_native_batch_norm_legit_no_training_3 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_5, %p_features_2_block_0_1_weight, %p_features_2_block_0_1_bias, %b_features_2_block_0_1_running_mean, %b_features_2_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.3951443Z %getitem_9 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_3, 0), kwargs = {}) 2024-06-26T05:16:52.3952650Z %relu_2 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%getitem_9,), kwargs = {}) 2024-06-26T05:16:52.3954071Z %conv2d_6 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu_2, %p_features_2_block_1_0_weight, None, [2, 2], [1, 1], [1, 1], 72), kwargs = {}) 2024-06-26T05:16:52.3956460Z %_native_batch_norm_legit_no_training_4 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_6, %p_features_2_block_1_1_weight, %p_features_2_block_1_1_bias, %b_features_2_block_1_1_running_mean, %b_features_2_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.3958695Z %getitem_12 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_4, 0), kwargs = {}) 2024-06-26T05:16:52.3959912Z %relu_3 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%getitem_12,), kwargs = {}) 2024-06-26T05:16:52.3961190Z %conv2d_7 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu_3, %p_features_2_block_2_0_weight), kwargs = {}) 2024-06-26T05:16:52.3963435Z %_native_batch_norm_legit_no_training_5 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_7, %p_features_2_block_2_1_weight, %p_features_2_block_2_1_bias, %b_features_2_block_2_1_running_mean, %b_features_2_block_2_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.3965584Z %getitem_15 : [num_users=2] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_5, 0), kwargs = {}) 2024-06-26T05:16:52.3966949Z %conv2d_8 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%getitem_15, %p_features_3_block_0_0_weight), kwargs = {}) 2024-06-26T05:16:52.3969154Z %_native_batch_norm_legit_no_training_6 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_8, %p_features_3_block_0_1_weight, %p_features_3_block_0_1_bias, %b_features_3_block_0_1_running_mean, %b_features_3_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.3971282Z %getitem_18 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_6, 0), kwargs = {}) 2024-06-26T05:16:52.3972501Z %relu_4 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%getitem_18,), kwargs = {}) 2024-06-26T05:16:52.3973909Z %conv2d_9 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu_4, %p_features_3_block_1_0_weight, None, [1, 1], [1, 1], [1, 1], 88), kwargs = {}) 2024-06-26T05:16:52.3976282Z %_native_batch_norm_legit_no_training_7 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_9, %p_features_3_block_1_1_weight, %p_features_3_block_1_1_bias, %b_features_3_block_1_1_running_mean, %b_features_3_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.3978425Z %getitem_21 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_7, 0), kwargs = {}) 2024-06-26T05:16:52.3979681Z %relu_5 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%getitem_21,), kwargs = {}) 2024-06-26T05:16:52.3981012Z %conv2d_10 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu_5, %p_features_3_block_2_0_weight), kwargs = {}) 2024-06-26T05:16:52.3983214Z %_native_batch_norm_legit_no_training_8 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_10, %p_features_3_block_2_1_weight, %p_features_3_block_2_1_bias, %b_features_3_block_2_1_running_mean, %b_features_3_block_2_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.3985349Z %getitem_24 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_8, 0), kwargs = {}) 2024-06-26T05:16:52.3986592Z %add : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%getitem_24, %getitem_15), kwargs = {}) 2024-06-26T05:16:52.3987894Z %conv2d_11 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%add, %p_features_4_block_0_0_weight), kwargs = {}) 2024-06-26T05:16:52.3990132Z %_native_batch_norm_legit_no_training_9 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_11, %p_features_4_block_0_1_weight, %p_features_4_block_0_1_bias, %b_features_4_block_0_1_running_mean, %b_features_4_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.3992274Z %getitem_27 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_9, 0), kwargs = {}) 2024-06-26T05:16:52.3993544Z %hardswish_1 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%getitem_27,), kwargs = {}) 2024-06-26T05:16:52.3995051Z %conv2d_12 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%hardswish_1, %p_features_4_block_1_0_weight, None, [2, 2], [2, 2], [1, 1], 96), kwargs = {}) 2024-06-26T05:16:52.3997482Z %_native_batch_norm_legit_no_training_10 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_12, %p_features_4_block_1_1_weight, %p_features_4_block_1_1_bias, %b_features_4_block_1_1_running_mean, %b_features_4_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.3999721Z %getitem_30 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_10, 0), kwargs = {}) 2024-06-26T05:16:52.4001001Z %hardswish_2 : [num_users=2] = call_function[target=torch.ops.aten.hardswish.default](args = (%getitem_30,), kwargs = {}) 2024-06-26T05:16:52.4002376Z %adaptive_avg_pool2d_1 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%hardswish_2, [1, 1]), kwargs = {}) 2024-06-26T05:16:52.4004076Z %conv2d_13 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%adaptive_avg_pool2d_1, %p_features_4_block_2_fc1_weight, %p_features_4_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:16:52.4005571Z %relu_6 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_13,), kwargs = {}) 2024-06-26T05:16:52.4007001Z %conv2d_14 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu_6, %p_features_4_block_2_fc2_weight, %p_features_4_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:16:52.4008505Z %hardsigmoid_1 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%conv2d_14,), kwargs = {}) 2024-06-26T05:16:52.4009811Z %mul_1 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%hardsigmoid_1, %hardswish_2), kwargs = {}) 2024-06-26T05:16:52.4011137Z %conv2d_15 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%mul_1, %p_features_4_block_3_0_weight), kwargs = {}) 2024-06-26T05:16:52.4013359Z %_native_batch_norm_legit_no_training_11 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_15, %p_features_4_block_3_1_weight, %p_features_4_block_3_1_bias, %b_features_4_block_3_1_running_mean, %b_features_4_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4015565Z %getitem_33 : [num_users=2] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_11, 0), kwargs = {}) 2024-06-26T05:16:52.4016952Z %conv2d_16 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%getitem_33, %p_features_5_block_0_0_weight), kwargs = {}) 2024-06-26T05:16:52.4019192Z %_native_batch_norm_legit_no_training_12 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_16, %p_features_5_block_0_1_weight, %p_features_5_block_0_1_bias, %b_features_5_block_0_1_running_mean, %b_features_5_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4021388Z %getitem_36 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_12, 0), kwargs = {}) 2024-06-26T05:16:52.4022715Z %hardswish_3 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%getitem_36,), kwargs = {}) 2024-06-26T05:16:52.4024234Z %conv2d_17 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%hardswish_3, %p_features_5_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], 240), kwargs = {}) 2024-06-26T05:16:52.4026634Z %_native_batch_norm_legit_no_training_13 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_17, %p_features_5_block_1_1_weight, %p_features_5_block_1_1_bias, %b_features_5_block_1_1_running_mean, %b_features_5_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4028781Z %getitem_39 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_13, 0), kwargs = {}) 2024-06-26T05:16:52.4030087Z %hardswish_4 : [num_users=2] = call_function[target=torch.ops.aten.hardswish.default](args = (%getitem_39,), kwargs = {}) 2024-06-26T05:16:52.4031464Z %adaptive_avg_pool2d_2 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%hardswish_4, [1, 1]), kwargs = {}) 2024-06-26T05:16:52.4033164Z %conv2d_18 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%adaptive_avg_pool2d_2, %p_features_5_block_2_fc1_weight, %p_features_5_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:16:52.4034659Z %relu_7 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_18,), kwargs = {}) 2024-06-26T05:16:52.4036078Z %conv2d_19 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu_7, %p_features_5_block_2_fc2_weight, %p_features_5_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:16:52.4037596Z %hardsigmoid_2 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%conv2d_19,), kwargs = {}) 2024-06-26T05:16:52.4038964Z %mul_2 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%hardsigmoid_2, %hardswish_4), kwargs = {}) 2024-06-26T05:16:52.4040302Z %conv2d_20 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%mul_2, %p_features_5_block_3_0_weight), kwargs = {}) 2024-06-26T05:16:52.4042573Z %_native_batch_norm_legit_no_training_14 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_20, %p_features_5_block_3_1_weight, %p_features_5_block_3_1_bias, %b_features_5_block_3_1_running_mean, %b_features_5_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4044735Z %getitem_42 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_14, 0), kwargs = {}) 2024-06-26T05:16:52.4045990Z %add_1 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%getitem_42, %getitem_33), kwargs = {}) 2024-06-26T05:16:52.4047349Z %conv2d_21 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%add_1, %p_features_6_block_0_0_weight), kwargs = {}) 2024-06-26T05:16:52.4049545Z %_native_batch_norm_legit_no_training_15 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_21, %p_features_6_block_0_1_weight, %p_features_6_block_0_1_bias, %b_features_6_block_0_1_running_mean, %b_features_6_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4051705Z %getitem_45 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_15, 0), kwargs = {}) 2024-06-26T05:16:52.4052982Z %hardswish_5 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%getitem_45,), kwargs = {}) 2024-06-26T05:16:52.4054504Z %conv2d_22 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%hardswish_5, %p_features_6_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], 240), kwargs = {}) 2024-06-26T05:16:52.4056888Z %_native_batch_norm_legit_no_training_16 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_22, %p_features_6_block_1_1_weight, %p_features_6_block_1_1_bias, %b_features_6_block_1_1_running_mean, %b_features_6_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4059065Z %getitem_48 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_16, 0), kwargs = {}) 2024-06-26T05:16:52.4060432Z %hardswish_6 : [num_users=2] = call_function[target=torch.ops.aten.hardswish.default](args = (%getitem_48,), kwargs = {}) 2024-06-26T05:16:52.4061815Z %adaptive_avg_pool2d_3 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%hardswish_6, [1, 1]), kwargs = {}) 2024-06-26T05:16:52.4063559Z %conv2d_23 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%adaptive_avg_pool2d_3, %p_features_6_block_2_fc1_weight, %p_features_6_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:16:52.4065049Z %relu_8 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_23,), kwargs = {}) 2024-06-26T05:16:52.4066477Z %conv2d_24 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu_8, %p_features_6_block_2_fc2_weight, %p_features_6_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:16:52.4067986Z %hardsigmoid_3 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%conv2d_24,), kwargs = {}) 2024-06-26T05:16:52.4069245Z %mul_3 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%hardsigmoid_3, %hardswish_6), kwargs = {}) 2024-06-26T05:16:52.4070558Z %conv2d_25 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%mul_3, %p_features_6_block_3_0_weight), kwargs = {}) 2024-06-26T05:16:52.4072771Z %_native_batch_norm_legit_no_training_17 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_25, %p_features_6_block_3_1_weight, %p_features_6_block_3_1_bias, %b_features_6_block_3_1_running_mean, %b_features_6_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4074925Z %getitem_51 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_17, 0), kwargs = {}) 2024-06-26T05:16:52.4076195Z %add_2 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%getitem_51, %add_1), kwargs = {}) 2024-06-26T05:16:52.4077489Z %conv2d_26 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%add_2, %p_features_7_block_0_0_weight), kwargs = {}) 2024-06-26T05:16:52.4079782Z %_native_batch_norm_legit_no_training_18 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_26, %p_features_7_block_0_1_weight, %p_features_7_block_0_1_bias, %b_features_7_block_0_1_running_mean, %b_features_7_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4081966Z %getitem_54 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_18, 0), kwargs = {}) 2024-06-26T05:16:52.4083249Z %hardswish_7 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%getitem_54,), kwargs = {}) 2024-06-26T05:16:52.4084765Z %conv2d_27 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%hardswish_7, %p_features_7_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], 120), kwargs = {}) 2024-06-26T05:16:52.4087139Z %_native_batch_norm_legit_no_training_19 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_27, %p_features_7_block_1_1_weight, %p_features_7_block_1_1_bias, %b_features_7_block_1_1_running_mean, %b_features_7_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4089294Z %getitem_57 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_19, 0), kwargs = {}) 2024-06-26T05:16:52.4090628Z %hardswish_8 : [num_users=2] = call_function[target=torch.ops.aten.hardswish.default](args = (%getitem_57,), kwargs = {}) 2024-06-26T05:16:52.4091998Z %adaptive_avg_pool2d_4 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%hardswish_8, [1, 1]), kwargs = {}) 2024-06-26T05:16:52.4093694Z %conv2d_28 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%adaptive_avg_pool2d_4, %p_features_7_block_2_fc1_weight, %p_features_7_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:16:52.4095185Z %relu_9 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_28,), kwargs = {}) 2024-06-26T05:16:52.4096649Z %conv2d_29 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu_9, %p_features_7_block_2_fc2_weight, %p_features_7_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:16:52.4098157Z %hardsigmoid_4 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%conv2d_29,), kwargs = {}) 2024-06-26T05:16:52.4099420Z %mul_4 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%hardsigmoid_4, %hardswish_8), kwargs = {}) 2024-06-26T05:16:52.4100792Z %conv2d_30 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%mul_4, %p_features_7_block_3_0_weight), kwargs = {}) 2024-06-26T05:16:52.4103014Z %_native_batch_norm_legit_no_training_20 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_30, %p_features_7_block_3_1_weight, %p_features_7_block_3_1_bias, %b_features_7_block_3_1_running_mean, %b_features_7_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4105173Z %getitem_60 : [num_users=2] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_20, 0), kwargs = {}) 2024-06-26T05:16:52.4106564Z %conv2d_31 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%getitem_60, %p_features_8_block_0_0_weight), kwargs = {}) 2024-06-26T05:16:52.4108832Z %_native_batch_norm_legit_no_training_21 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_31, %p_features_8_block_0_1_weight, %p_features_8_block_0_1_bias, %b_features_8_block_0_1_running_mean, %b_features_8_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4110979Z %getitem_63 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_21, 0), kwargs = {}) 2024-06-26T05:16:52.4112255Z %hardswish_9 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%getitem_63,), kwargs = {}) 2024-06-26T05:16:52.4113803Z %conv2d_32 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%hardswish_9, %p_features_8_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], 144), kwargs = {}) 2024-06-26T05:16:52.4116192Z %_native_batch_norm_legit_no_training_22 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_32, %p_features_8_block_1_1_weight, %p_features_8_block_1_1_bias, %b_features_8_block_1_1_running_mean, %b_features_8_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4118549Z %getitem_66 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_22, 0), kwargs = {}) 2024-06-26T05:16:52.4119834Z %hardswish_10 : [num_users=2] = call_function[target=torch.ops.aten.hardswish.default](args = (%getitem_66,), kwargs = {}) 2024-06-26T05:16:52.4121216Z %adaptive_avg_pool2d_5 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%hardswish_10, [1, 1]), kwargs = {}) 2024-06-26T05:16:52.4122919Z %conv2d_33 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%adaptive_avg_pool2d_5, %p_features_8_block_2_fc1_weight, %p_features_8_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:16:52.4124473Z %relu_10 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_33,), kwargs = {}) 2024-06-26T05:16:52.4125912Z %conv2d_34 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu_10, %p_features_8_block_2_fc2_weight, %p_features_8_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:16:52.4127423Z %hardsigmoid_5 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%conv2d_34,), kwargs = {}) 2024-06-26T05:16:52.4128782Z %mul_5 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%hardsigmoid_5, %hardswish_10), kwargs = {}) 2024-06-26T05:16:52.4130100Z %conv2d_35 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%mul_5, %p_features_8_block_3_0_weight), kwargs = {}) 2024-06-26T05:16:52.4132596Z %_native_batch_norm_legit_no_training_23 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_35, %p_features_8_block_3_1_weight, %p_features_8_block_3_1_bias, %b_features_8_block_3_1_running_mean, %b_features_8_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4134771Z %getitem_69 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_23, 0), kwargs = {}) 2024-06-26T05:16:52.4136028Z %add_3 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%getitem_69, %getitem_60), kwargs = {}) 2024-06-26T05:16:52.4137338Z %conv2d_36 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%add_3, %p_features_9_block_0_0_weight), kwargs = {}) 2024-06-26T05:16:52.4139538Z %_native_batch_norm_legit_no_training_24 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_36, %p_features_9_block_0_1_weight, %p_features_9_block_0_1_bias, %b_features_9_block_0_1_running_mean, %b_features_9_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4141773Z %getitem_72 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_24, 0), kwargs = {}) 2024-06-26T05:16:52.4143057Z %hardswish_11 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%getitem_72,), kwargs = {}) 2024-06-26T05:16:52.4144642Z %conv2d_37 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%hardswish_11, %p_features_9_block_1_0_weight, None, [2, 2], [2, 2], [1, 1], 288), kwargs = {}) 2024-06-26T05:16:52.4147023Z %_native_batch_norm_legit_no_training_25 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_37, %p_features_9_block_1_1_weight, %p_features_9_block_1_1_bias, %b_features_9_block_1_1_running_mean, %b_features_9_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4149224Z %getitem_75 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_25, 0), kwargs = {}) 2024-06-26T05:16:52.4150511Z %hardswish_12 : [num_users=2] = call_function[target=torch.ops.aten.hardswish.default](args = (%getitem_75,), kwargs = {}) 2024-06-26T05:16:52.4151889Z %adaptive_avg_pool2d_6 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%hardswish_12, [1, 1]), kwargs = {}) 2024-06-26T05:16:52.4153595Z %conv2d_38 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%adaptive_avg_pool2d_6, %p_features_9_block_2_fc1_weight, %p_features_9_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:16:52.4155090Z %relu_11 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_38,), kwargs = {}) 2024-06-26T05:16:52.4156539Z %conv2d_39 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu_11, %p_features_9_block_2_fc2_weight, %p_features_9_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:16:52.4158224Z %hardsigmoid_6 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%conv2d_39,), kwargs = {}) 2024-06-26T05:16:52.4159499Z %mul_6 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%hardsigmoid_6, %hardswish_12), kwargs = {}) 2024-06-26T05:16:52.4160818Z %conv2d_40 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%mul_6, %p_features_9_block_3_0_weight), kwargs = {}) 2024-06-26T05:16:52.4163031Z %_native_batch_norm_legit_no_training_26 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_40, %p_features_9_block_3_1_weight, %p_features_9_block_3_1_bias, %b_features_9_block_3_1_running_mean, %b_features_9_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4165238Z %getitem_78 : [num_users=2] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_26, 0), kwargs = {}) 2024-06-26T05:16:52.4166632Z %conv2d_41 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%getitem_78, %p_features_10_block_0_0_weight), kwargs = {}) 2024-06-26T05:16:52.4168890Z %_native_batch_norm_legit_no_training_27 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_41, %p_features_10_block_0_1_weight, %p_features_10_block_0_1_bias, %b_features_10_block_0_1_running_mean, %b_features_10_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4171052Z %getitem_81 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_27, 0), kwargs = {}) 2024-06-26T05:16:52.4172342Z %hardswish_13 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%getitem_81,), kwargs = {}) 2024-06-26T05:16:52.4173879Z %conv2d_42 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%hardswish_13, %p_features_10_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], 576), kwargs = {}) 2024-06-26T05:16:52.4176294Z %_native_batch_norm_legit_no_training_28 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_42, %p_features_10_block_1_1_weight, %p_features_10_block_1_1_bias, %b_features_10_block_1_1_running_mean, %b_features_10_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4178491Z %getitem_84 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_28, 0), kwargs = {}) 2024-06-26T05:16:52.4179776Z %hardswish_14 : [num_users=2] = call_function[target=torch.ops.aten.hardswish.default](args = (%getitem_84,), kwargs = {}) 2024-06-26T05:16:52.4181242Z %adaptive_avg_pool2d_7 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%hardswish_14, [1, 1]), kwargs = {}) 2024-06-26T05:16:52.4182993Z %conv2d_43 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%adaptive_avg_pool2d_7, %p_features_10_block_2_fc1_weight, %p_features_10_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:16:52.4184504Z %relu_12 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_43,), kwargs = {}) 2024-06-26T05:16:52.4185940Z %conv2d_44 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu_12, %p_features_10_block_2_fc2_weight, %p_features_10_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:16:52.4187468Z %hardsigmoid_7 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%conv2d_44,), kwargs = {}) 2024-06-26T05:16:52.4188738Z %mul_7 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%hardsigmoid_7, %hardswish_14), kwargs = {}) 2024-06-26T05:16:52.4190067Z %conv2d_45 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%mul_7, %p_features_10_block_3_0_weight), kwargs = {}) 2024-06-26T05:16:52.4192342Z %_native_batch_norm_legit_no_training_29 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_45, %p_features_10_block_3_1_weight, %p_features_10_block_3_1_bias, %b_features_10_block_3_1_running_mean, %b_features_10_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4194524Z %getitem_87 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_29, 0), kwargs = {}) 2024-06-26T05:16:52.4195780Z %add_4 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%getitem_87, %getitem_78), kwargs = {}) 2024-06-26T05:16:52.4197102Z %conv2d_46 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%add_4, %p_features_11_block_0_0_weight), kwargs = {}) 2024-06-26T05:16:52.4199466Z %_native_batch_norm_legit_no_training_30 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_46, %p_features_11_block_0_1_weight, %p_features_11_block_0_1_bias, %b_features_11_block_0_1_running_mean, %b_features_11_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4201647Z %getitem_90 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_30, 0), kwargs = {}) 2024-06-26T05:16:52.4202932Z %hardswish_15 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%getitem_90,), kwargs = {}) 2024-06-26T05:16:52.4204460Z %conv2d_47 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%hardswish_15, %p_features_11_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], 576), kwargs = {}) 2024-06-26T05:16:52.4206871Z %_native_batch_norm_legit_no_training_31 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_47, %p_features_11_block_1_1_weight, %p_features_11_block_1_1_bias, %b_features_11_block_1_1_running_mean, %b_features_11_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4209034Z %getitem_93 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_31, 0), kwargs = {}) 2024-06-26T05:16:52.4210320Z %hardswish_16 : [num_users=2] = call_function[target=torch.ops.aten.hardswish.default](args = (%getitem_93,), kwargs = {}) 2024-06-26T05:16:52.4211752Z %adaptive_avg_pool2d_8 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%hardswish_16, [1, 1]), kwargs = {}) 2024-06-26T05:16:52.4213467Z %conv2d_48 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%adaptive_avg_pool2d_8, %p_features_11_block_2_fc1_weight, %p_features_11_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:16:52.4215005Z %relu_13 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_48,), kwargs = {}) 2024-06-26T05:16:52.4216454Z %conv2d_49 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu_13, %p_features_11_block_2_fc2_weight, %p_features_11_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:16:52.4217971Z %hardsigmoid_8 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%conv2d_49,), kwargs = {}) 2024-06-26T05:16:52.4219235Z %mul_8 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%hardsigmoid_8, %hardswish_16), kwargs = {}) 2024-06-26T05:16:52.4220603Z %conv2d_50 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%mul_8, %p_features_11_block_3_0_weight), kwargs = {}) 2024-06-26T05:16:52.4222833Z %_native_batch_norm_legit_no_training_32 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_50, %p_features_11_block_3_1_weight, %p_features_11_block_3_1_bias, %b_features_11_block_3_1_running_mean, %b_features_11_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4225053Z %getitem_96 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_32, 0), kwargs = {}) 2024-06-26T05:16:52.4226290Z %add_5 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%getitem_96, %add_4), kwargs = {}) 2024-06-26T05:16:52.4227552Z %conv2d_51 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%add_5, %p_features_12_0_weight), kwargs = {}) 2024-06-26T05:16:52.4229614Z %_native_batch_norm_legit_no_training_33 : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d_51, %p_features_12_1_weight, %p_features_12_1_bias, %b_features_12_1_running_mean, %b_features_12_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:52.4231687Z %getitem_99 : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training_33, 0), kwargs = {}) 2024-06-26T05:16:52.4232972Z %hardswish_17 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%getitem_99,), kwargs = {}) 2024-06-26T05:16:52.4234357Z %adaptive_avg_pool2d_9 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%hardswish_17, [1, 1]), kwargs = {}) 2024-06-26T05:16:52.4235745Z %view : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%adaptive_avg_pool2d_9, [1, 576]), kwargs = {}) 2024-06-26T05:16:52.4237152Z %linear : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view, %p_classifier_0_weight, %p_classifier_0_bias), kwargs = {}) 2024-06-26T05:16:52.4238610Z %hardswish_18 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%linear,), kwargs = {}) 2024-06-26T05:16:52.4240037Z %linear_1 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%hardswish_18, %p_classifier_3_weight, %p_classifier_3_bias), kwargs = {}) 2024-06-26T05:16:52.4241025Z return (linear_1,) 2024-06-26T05:16:56.4902709Z INFO:root:Exported graph: 2024-06-26T05:16:56.4903292Z graph(): 2024-06-26T05:16:56.4904059Z %p_features_0_0_weight : [num_users=1] = placeholder[target=p_features_0_0_weight] 2024-06-26T05:16:56.4905280Z %p_features_0_1_weight : [num_users=1] = placeholder[target=p_features_0_1_weight] 2024-06-26T05:16:56.4906710Z %p_features_0_1_bias : [num_users=1] = placeholder[target=p_features_0_1_bias] 2024-06-26T05:16:56.4908438Z %p_features_1_block_0_0_weight : [num_users=1] = placeholder[target=p_features_1_block_0_0_weight] 2024-06-26T05:16:56.4909944Z %p_features_1_block_0_1_weight : [num_users=1] = placeholder[target=p_features_1_block_0_1_weight] 2024-06-26T05:16:56.4911364Z %p_features_1_block_0_1_bias : [num_users=1] = placeholder[target=p_features_1_block_0_1_bias] 2024-06-26T05:16:56.4912856Z %p_features_1_block_1_fc1_weight : [num_users=1] = placeholder[target=p_features_1_block_1_fc1_weight] 2024-06-26T05:16:56.4913840Z %p_features_1_block_1_fc1_bias : [num_users=1] = placeholder[target=p_features_1_block_1_fc1_bias] 2024-06-26T05:16:56.4914822Z %p_features_1_block_1_fc2_weight : [num_users=1] = placeholder[target=p_features_1_block_1_fc2_weight] 2024-06-26T05:16:56.4915778Z %p_features_1_block_1_fc2_bias : [num_users=1] = placeholder[target=p_features_1_block_1_fc2_bias] 2024-06-26T05:16:56.4916734Z %p_features_1_block_2_0_weight : [num_users=1] = placeholder[target=p_features_1_block_2_0_weight] 2024-06-26T05:16:56.4917672Z %p_features_1_block_2_1_weight : [num_users=1] = placeholder[target=p_features_1_block_2_1_weight] 2024-06-26T05:16:56.4918802Z %p_features_1_block_2_1_bias : [num_users=1] = placeholder[target=p_features_1_block_2_1_bias] 2024-06-26T05:16:56.4919709Z %p_features_2_block_0_0_weight : [num_users=1] = placeholder[target=p_features_2_block_0_0_weight] 2024-06-26T05:16:56.4920662Z %p_features_2_block_0_1_weight : [num_users=1] = placeholder[target=p_features_2_block_0_1_weight] 2024-06-26T05:16:56.4921670Z %p_features_2_block_0_1_bias : [num_users=1] = placeholder[target=p_features_2_block_0_1_bias] 2024-06-26T05:16:56.4922578Z %p_features_2_block_1_0_weight : [num_users=1] = placeholder[target=p_features_2_block_1_0_weight] 2024-06-26T05:16:56.4923527Z %p_features_2_block_1_1_weight : [num_users=1] = placeholder[target=p_features_2_block_1_1_weight] 2024-06-26T05:16:56.4924455Z %p_features_2_block_1_1_bias : [num_users=1] = placeholder[target=p_features_2_block_1_1_bias] 2024-06-26T05:16:56.4925381Z %p_features_2_block_2_0_weight : [num_users=1] = placeholder[target=p_features_2_block_2_0_weight] 2024-06-26T05:16:56.4926314Z %p_features_2_block_2_1_weight : [num_users=1] = placeholder[target=p_features_2_block_2_1_weight] 2024-06-26T05:16:56.4927233Z %p_features_2_block_2_1_bias : [num_users=1] = placeholder[target=p_features_2_block_2_1_bias] 2024-06-26T05:16:56.4928224Z %p_features_3_block_0_0_weight : [num_users=1] = placeholder[target=p_features_3_block_0_0_weight] 2024-06-26T05:16:56.4929162Z %p_features_3_block_0_1_weight : [num_users=1] = placeholder[target=p_features_3_block_0_1_weight] 2024-06-26T05:16:56.4930081Z %p_features_3_block_0_1_bias : [num_users=1] = placeholder[target=p_features_3_block_0_1_bias] 2024-06-26T05:16:56.4930997Z %p_features_3_block_1_0_weight : [num_users=1] = placeholder[target=p_features_3_block_1_0_weight] 2024-06-26T05:16:56.4931950Z %p_features_3_block_1_1_weight : [num_users=1] = placeholder[target=p_features_3_block_1_1_weight] 2024-06-26T05:16:56.4932850Z %p_features_3_block_1_1_bias : [num_users=1] = placeholder[target=p_features_3_block_1_1_bias] 2024-06-26T05:16:56.4933769Z %p_features_3_block_2_0_weight : [num_users=1] = placeholder[target=p_features_3_block_2_0_weight] 2024-06-26T05:16:56.4934710Z %p_features_3_block_2_1_weight : [num_users=1] = placeholder[target=p_features_3_block_2_1_weight] 2024-06-26T05:16:56.4935616Z %p_features_3_block_2_1_bias : [num_users=1] = placeholder[target=p_features_3_block_2_1_bias] 2024-06-26T05:16:56.4936541Z %p_features_4_block_0_0_weight : [num_users=1] = placeholder[target=p_features_4_block_0_0_weight] 2024-06-26T05:16:56.4937481Z %p_features_4_block_0_1_weight : [num_users=1] = placeholder[target=p_features_4_block_0_1_weight] 2024-06-26T05:16:56.4938396Z %p_features_4_block_0_1_bias : [num_users=1] = placeholder[target=p_features_4_block_0_1_bias] 2024-06-26T05:16:56.4939364Z %p_features_4_block_1_0_weight : [num_users=1] = placeholder[target=p_features_4_block_1_0_weight] 2024-06-26T05:16:56.4940390Z %p_features_4_block_1_1_weight : [num_users=1] = placeholder[target=p_features_4_block_1_1_weight] 2024-06-26T05:16:56.4941310Z %p_features_4_block_1_1_bias : [num_users=1] = placeholder[target=p_features_4_block_1_1_bias] 2024-06-26T05:16:56.4942294Z %p_features_4_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_4_block_2_fc1_weight] 2024-06-26T05:16:56.4943264Z %p_features_4_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_4_block_2_fc1_bias] 2024-06-26T05:16:56.4944234Z %p_features_4_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_4_block_2_fc2_weight] 2024-06-26T05:16:56.4945198Z %p_features_4_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_4_block_2_fc2_bias] 2024-06-26T05:16:56.4946421Z %p_features_4_block_3_0_weight : [num_users=1] = placeholder[target=p_features_4_block_3_0_weight] 2024-06-26T05:16:56.4947996Z %p_features_4_block_3_1_weight : [num_users=1] = placeholder[target=p_features_4_block_3_1_weight] 2024-06-26T05:16:56.4949589Z %p_features_4_block_3_1_bias : [num_users=1] = placeholder[target=p_features_4_block_3_1_bias] 2024-06-26T05:16:56.4951121Z %p_features_5_block_0_0_weight : [num_users=1] = placeholder[target=p_features_5_block_0_0_weight] 2024-06-26T05:16:56.4952750Z %p_features_5_block_0_1_weight : [num_users=1] = placeholder[target=p_features_5_block_0_1_weight] 2024-06-26T05:16:56.4954276Z %p_features_5_block_0_1_bias : [num_users=1] = placeholder[target=p_features_5_block_0_1_bias] 2024-06-26T05:16:56.4956048Z %p_features_5_block_1_0_weight : [num_users=1] = placeholder[target=p_features_5_block_1_0_weight] 2024-06-26T05:16:56.4957755Z %p_features_5_block_1_1_weight : [num_users=1] = placeholder[target=p_features_5_block_1_1_weight] 2024-06-26T05:16:56.4959479Z %p_features_5_block_1_1_bias : [num_users=1] = placeholder[target=p_features_5_block_1_1_bias] 2024-06-26T05:16:56.4961093Z %p_features_5_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_5_block_2_fc1_weight] 2024-06-26T05:16:56.4962593Z %p_features_5_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_5_block_2_fc1_bias] 2024-06-26T05:16:56.4964183Z %p_features_5_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_5_block_2_fc2_weight] 2024-06-26T05:16:56.4965263Z %p_features_5_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_5_block_2_fc2_bias] 2024-06-26T05:16:56.4966225Z %p_features_5_block_3_0_weight : [num_users=1] = placeholder[target=p_features_5_block_3_0_weight] 2024-06-26T05:16:56.4967163Z %p_features_5_block_3_1_weight : [num_users=1] = placeholder[target=p_features_5_block_3_1_weight] 2024-06-26T05:16:56.4968064Z %p_features_5_block_3_1_bias : [num_users=1] = placeholder[target=p_features_5_block_3_1_bias] 2024-06-26T05:16:56.4968990Z %p_features_6_block_0_0_weight : [num_users=1] = placeholder[target=p_features_6_block_0_0_weight] 2024-06-26T05:16:56.4969942Z %p_features_6_block_0_1_weight : [num_users=1] = placeholder[target=p_features_6_block_0_1_weight] 2024-06-26T05:16:56.4970850Z %p_features_6_block_0_1_bias : [num_users=1] = placeholder[target=p_features_6_block_0_1_bias] 2024-06-26T05:16:56.4971764Z %p_features_6_block_1_0_weight : [num_users=1] = placeholder[target=p_features_6_block_1_0_weight] 2024-06-26T05:16:56.4972710Z %p_features_6_block_1_1_weight : [num_users=1] = placeholder[target=p_features_6_block_1_1_weight] 2024-06-26T05:16:56.4973629Z %p_features_6_block_1_1_bias : [num_users=1] = placeholder[target=p_features_6_block_1_1_bias] 2024-06-26T05:16:56.4974563Z %p_features_6_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_6_block_2_fc1_weight] 2024-06-26T05:16:56.4975524Z %p_features_6_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_6_block_2_fc1_bias] 2024-06-26T05:16:56.4976541Z %p_features_6_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_6_block_2_fc2_weight] 2024-06-26T05:16:56.4977493Z %p_features_6_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_6_block_2_fc2_bias] 2024-06-26T05:16:56.4978435Z %p_features_6_block_3_0_weight : [num_users=1] = placeholder[target=p_features_6_block_3_0_weight] 2024-06-26T05:16:56.4979420Z %p_features_6_block_3_1_weight : [num_users=1] = placeholder[target=p_features_6_block_3_1_weight] 2024-06-26T05:16:56.4980416Z %p_features_6_block_3_1_bias : [num_users=1] = placeholder[target=p_features_6_block_3_1_bias] 2024-06-26T05:16:56.4981326Z %p_features_7_block_0_0_weight : [num_users=1] = placeholder[target=p_features_7_block_0_0_weight] 2024-06-26T05:16:56.4982272Z %p_features_7_block_0_1_weight : [num_users=1] = placeholder[target=p_features_7_block_0_1_weight] 2024-06-26T05:16:56.4983187Z %p_features_7_block_0_1_bias : [num_users=1] = placeholder[target=p_features_7_block_0_1_bias] 2024-06-26T05:16:56.4984095Z %p_features_7_block_1_0_weight : [num_users=1] = placeholder[target=p_features_7_block_1_0_weight] 2024-06-26T05:16:56.4985038Z %p_features_7_block_1_1_weight : [num_users=1] = placeholder[target=p_features_7_block_1_1_weight] 2024-06-26T05:16:56.4985954Z %p_features_7_block_1_1_bias : [num_users=1] = placeholder[target=p_features_7_block_1_1_bias] 2024-06-26T05:16:56.4986898Z %p_features_7_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_7_block_2_fc1_weight] 2024-06-26T05:16:56.4987849Z %p_features_7_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_7_block_2_fc1_bias] 2024-06-26T05:16:56.4988869Z %p_features_7_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_7_block_2_fc2_weight] 2024-06-26T05:16:56.4989828Z %p_features_7_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_7_block_2_fc2_bias] 2024-06-26T05:16:56.4990754Z %p_features_7_block_3_0_weight : [num_users=1] = placeholder[target=p_features_7_block_3_0_weight] 2024-06-26T05:16:56.4991686Z %p_features_7_block_3_1_weight : [num_users=1] = placeholder[target=p_features_7_block_3_1_weight] 2024-06-26T05:16:56.4992609Z %p_features_7_block_3_1_bias : [num_users=1] = placeholder[target=p_features_7_block_3_1_bias] 2024-06-26T05:16:56.4993523Z %p_features_8_block_0_0_weight : [num_users=1] = placeholder[target=p_features_8_block_0_0_weight] 2024-06-26T05:16:56.4994492Z %p_features_8_block_0_1_weight : [num_users=1] = placeholder[target=p_features_8_block_0_1_weight] 2024-06-26T05:16:56.4995416Z %p_features_8_block_0_1_bias : [num_users=1] = placeholder[target=p_features_8_block_0_1_bias] 2024-06-26T05:16:56.4996338Z %p_features_8_block_1_0_weight : [num_users=1] = placeholder[target=p_features_8_block_1_0_weight] 2024-06-26T05:16:56.4997267Z %p_features_8_block_1_1_weight : [num_users=1] = placeholder[target=p_features_8_block_1_1_weight] 2024-06-26T05:16:56.4998311Z %p_features_8_block_1_1_bias : [num_users=1] = placeholder[target=p_features_8_block_1_1_bias] 2024-06-26T05:16:56.4999254Z %p_features_8_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_8_block_2_fc1_weight] 2024-06-26T05:16:56.5000219Z %p_features_8_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_8_block_2_fc1_bias] 2024-06-26T05:16:56.5001177Z %p_features_8_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_8_block_2_fc2_weight] 2024-06-26T05:16:56.5002143Z %p_features_8_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_8_block_2_fc2_bias] 2024-06-26T05:16:56.5003096Z %p_features_8_block_3_0_weight : [num_users=1] = placeholder[target=p_features_8_block_3_0_weight] 2024-06-26T05:16:56.5004018Z %p_features_8_block_3_1_weight : [num_users=1] = placeholder[target=p_features_8_block_3_1_weight] 2024-06-26T05:16:56.5004934Z %p_features_8_block_3_1_bias : [num_users=1] = placeholder[target=p_features_8_block_3_1_bias] 2024-06-26T05:16:56.5005901Z %p_features_9_block_0_0_weight : [num_users=1] = placeholder[target=p_features_9_block_0_0_weight] 2024-06-26T05:16:56.5006849Z %p_features_9_block_0_1_weight : [num_users=1] = placeholder[target=p_features_9_block_0_1_weight] 2024-06-26T05:16:56.5007758Z %p_features_9_block_0_1_bias : [num_users=1] = placeholder[target=p_features_9_block_0_1_bias] 2024-06-26T05:16:56.5008681Z %p_features_9_block_1_0_weight : [num_users=1] = placeholder[target=p_features_9_block_1_0_weight] 2024-06-26T05:16:56.5009669Z %p_features_9_block_1_1_weight : [num_users=1] = placeholder[target=p_features_9_block_1_1_weight] 2024-06-26T05:16:56.5010591Z %p_features_9_block_1_1_bias : [num_users=1] = placeholder[target=p_features_9_block_1_1_bias] 2024-06-26T05:16:56.5011523Z %p_features_9_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_9_block_2_fc1_weight] 2024-06-26T05:16:56.5012489Z %p_features_9_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_9_block_2_fc1_bias] 2024-06-26T05:16:56.5013466Z %p_features_9_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_9_block_2_fc2_weight] 2024-06-26T05:16:56.5014417Z %p_features_9_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_9_block_2_fc2_bias] 2024-06-26T05:16:56.5015357Z %p_features_9_block_3_0_weight : [num_users=1] = placeholder[target=p_features_9_block_3_0_weight] 2024-06-26T05:16:56.5016291Z %p_features_9_block_3_1_weight : [num_users=1] = placeholder[target=p_features_9_block_3_1_weight] 2024-06-26T05:16:56.5017199Z %p_features_9_block_3_1_bias : [num_users=1] = placeholder[target=p_features_9_block_3_1_bias] 2024-06-26T05:16:56.5018174Z %p_features_10_block_0_0_weight : [num_users=1] = placeholder[target=p_features_10_block_0_0_weight] 2024-06-26T05:16:56.5019135Z %p_features_10_block_0_1_weight : [num_users=1] = placeholder[target=p_features_10_block_0_1_weight] 2024-06-26T05:16:56.5020151Z %p_features_10_block_0_1_bias : [num_users=1] = placeholder[target=p_features_10_block_0_1_bias] 2024-06-26T05:16:56.5021086Z %p_features_10_block_1_0_weight : [num_users=1] = placeholder[target=p_features_10_block_1_0_weight] 2024-06-26T05:16:56.5022040Z %p_features_10_block_1_1_weight : [num_users=1] = placeholder[target=p_features_10_block_1_1_weight] 2024-06-26T05:16:56.5022989Z %p_features_10_block_1_1_bias : [num_users=1] = placeholder[target=p_features_10_block_1_1_bias] 2024-06-26T05:16:56.5024001Z %p_features_10_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_10_block_2_fc1_weight] 2024-06-26T05:16:56.5024981Z %p_features_10_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_10_block_2_fc1_bias] 2024-06-26T05:16:56.5025968Z %p_features_10_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_10_block_2_fc2_weight] 2024-06-26T05:16:56.5026951Z %p_features_10_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_10_block_2_fc2_bias] 2024-06-26T05:16:56.5027898Z %p_features_10_block_3_0_weight : [num_users=1] = placeholder[target=p_features_10_block_3_0_weight] 2024-06-26T05:16:56.5028846Z %p_features_10_block_3_1_weight : [num_users=1] = placeholder[target=p_features_10_block_3_1_weight] 2024-06-26T05:16:56.5029790Z %p_features_10_block_3_1_bias : [num_users=1] = placeholder[target=p_features_10_block_3_1_bias] 2024-06-26T05:16:56.5030736Z %p_features_11_block_0_0_weight : [num_users=1] = placeholder[target=p_features_11_block_0_0_weight] 2024-06-26T05:16:56.5031685Z %p_features_11_block_0_1_weight : [num_users=1] = placeholder[target=p_features_11_block_0_1_weight] 2024-06-26T05:16:56.5032630Z %p_features_11_block_0_1_bias : [num_users=1] = placeholder[target=p_features_11_block_0_1_bias] 2024-06-26T05:16:56.5033574Z %p_features_11_block_1_0_weight : [num_users=1] = placeholder[target=p_features_11_block_1_0_weight] 2024-06-26T05:16:56.5034514Z %p_features_11_block_1_1_weight : [num_users=1] = placeholder[target=p_features_11_block_1_1_weight] 2024-06-26T05:16:56.5035481Z %p_features_11_block_1_1_bias : [num_users=1] = placeholder[target=p_features_11_block_1_1_bias] 2024-06-26T05:16:56.5036451Z %p_features_11_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_11_block_2_fc1_weight] 2024-06-26T05:16:56.5037431Z %p_features_11_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_11_block_2_fc1_bias] 2024-06-26T05:16:56.5038539Z %p_features_11_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_11_block_2_fc2_weight] 2024-06-26T05:16:56.5039522Z %p_features_11_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_11_block_2_fc2_bias] 2024-06-26T05:16:56.5040483Z %p_features_11_block_3_0_weight : [num_users=1] = placeholder[target=p_features_11_block_3_0_weight] 2024-06-26T05:16:56.5041423Z %p_features_11_block_3_1_weight : [num_users=1] = placeholder[target=p_features_11_block_3_1_weight] 2024-06-26T05:16:56.5042364Z %p_features_11_block_3_1_bias : [num_users=1] = placeholder[target=p_features_11_block_3_1_bias] 2024-06-26T05:16:56.5043236Z %p_features_12_0_weight : [num_users=1] = placeholder[target=p_features_12_0_weight] 2024-06-26T05:16:56.5044061Z %p_features_12_1_weight : [num_users=1] = placeholder[target=p_features_12_1_weight] 2024-06-26T05:16:56.5044849Z %p_features_12_1_bias : [num_users=1] = placeholder[target=p_features_12_1_bias] 2024-06-26T05:16:56.5045655Z %p_classifier_0_weight : [num_users=1] = placeholder[target=p_classifier_0_weight] 2024-06-26T05:16:56.5046457Z %p_classifier_0_bias : [num_users=1] = placeholder[target=p_classifier_0_bias] 2024-06-26T05:16:56.5047289Z %p_classifier_3_weight : [num_users=1] = placeholder[target=p_classifier_3_weight] 2024-06-26T05:16:56.5048084Z %p_classifier_3_bias : [num_users=1] = placeholder[target=p_classifier_3_bias] 2024-06-26T05:16:56.5048925Z %b_features_0_1_running_mean : [num_users=1] = placeholder[target=b_features_0_1_running_mean] 2024-06-26T05:16:56.5049823Z %b_features_0_1_running_var : [num_users=1] = placeholder[target=b_features_0_1_running_var] 2024-06-26T05:16:56.5050781Z %b_features_1_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_1_block_0_1_running_mean] 2024-06-26T05:16:56.5051824Z %b_features_1_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_1_block_0_1_running_var] 2024-06-26T05:16:56.5052870Z %b_features_1_block_2_1_running_mean : [num_users=1] = placeholder[target=b_features_1_block_2_1_running_mean] 2024-06-26T05:16:56.5053956Z %b_features_1_block_2_1_running_var : [num_users=1] = placeholder[target=b_features_1_block_2_1_running_var] 2024-06-26T05:16:56.5055007Z %b_features_2_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_2_block_0_1_running_mean] 2024-06-26T05:16:56.5056046Z %b_features_2_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_2_block_0_1_running_var] 2024-06-26T05:16:56.5057086Z %b_features_2_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_2_block_1_1_running_mean] 2024-06-26T05:16:56.5058114Z %b_features_2_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_2_block_1_1_running_var] 2024-06-26T05:16:56.5059150Z %b_features_2_block_2_1_running_mean : [num_users=1] = placeholder[target=b_features_2_block_2_1_running_mean] 2024-06-26T05:16:56.5060253Z %b_features_2_block_2_1_running_var : [num_users=1] = placeholder[target=b_features_2_block_2_1_running_var] 2024-06-26T05:16:56.5061305Z %b_features_3_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_3_block_0_1_running_mean] 2024-06-26T05:16:56.5062333Z %b_features_3_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_3_block_0_1_running_var] 2024-06-26T05:16:56.5063366Z %b_features_3_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_3_block_1_1_running_mean] 2024-06-26T05:16:56.5064400Z %b_features_3_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_3_block_1_1_running_var] 2024-06-26T05:16:56.5065476Z %b_features_3_block_2_1_running_mean : [num_users=1] = placeholder[target=b_features_3_block_2_1_running_mean] 2024-06-26T05:16:56.5066516Z %b_features_3_block_2_1_running_var : [num_users=1] = placeholder[target=b_features_3_block_2_1_running_var] 2024-06-26T05:16:56.5067552Z %b_features_4_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_4_block_0_1_running_mean] 2024-06-26T05:16:56.5068635Z %b_features_4_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_4_block_0_1_running_var] 2024-06-26T05:16:56.5069657Z %b_features_4_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_4_block_1_1_running_mean] 2024-06-26T05:16:56.5070693Z %b_features_4_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_4_block_1_1_running_var] 2024-06-26T05:16:56.5071726Z %b_features_4_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_4_block_3_1_running_mean] 2024-06-26T05:16:56.5072767Z %b_features_4_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_4_block_3_1_running_var] 2024-06-26T05:16:56.5073796Z %b_features_5_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_5_block_0_1_running_mean] 2024-06-26T05:16:56.5074835Z %b_features_5_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_5_block_0_1_running_var] 2024-06-26T05:16:56.5075876Z %b_features_5_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_5_block_1_1_running_mean] 2024-06-26T05:16:56.5076938Z %b_features_5_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_5_block_1_1_running_var] 2024-06-26T05:16:56.5078078Z %b_features_5_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_5_block_3_1_running_mean] 2024-06-26T05:16:56.5079114Z %b_features_5_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_5_block_3_1_running_var] 2024-06-26T05:16:56.5080153Z %b_features_6_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_6_block_0_1_running_mean] 2024-06-26T05:16:56.5081177Z %b_features_6_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_6_block_0_1_running_var] 2024-06-26T05:16:56.5082216Z %b_features_6_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_6_block_1_1_running_mean] 2024-06-26T05:16:56.5083297Z %b_features_6_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_6_block_1_1_running_var] 2024-06-26T05:16:56.5084326Z %b_features_6_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_6_block_3_1_running_mean] 2024-06-26T05:16:56.5085366Z %b_features_6_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_6_block_3_1_running_var] 2024-06-26T05:16:56.5086402Z %b_features_7_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_7_block_0_1_running_mean] 2024-06-26T05:16:56.5087436Z %b_features_7_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_7_block_0_1_running_var] 2024-06-26T05:16:56.5088457Z %b_features_7_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_7_block_1_1_running_mean] 2024-06-26T05:16:56.5089483Z %b_features_7_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_7_block_1_1_running_var] 2024-06-26T05:16:56.5090517Z %b_features_7_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_7_block_3_1_running_mean] 2024-06-26T05:16:56.5091556Z %b_features_7_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_7_block_3_1_running_var] 2024-06-26T05:16:56.5092586Z %b_features_8_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_8_block_0_1_running_mean] 2024-06-26T05:16:56.5093622Z %b_features_8_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_8_block_0_1_running_var] 2024-06-26T05:16:56.5094701Z %b_features_8_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_8_block_1_1_running_mean] 2024-06-26T05:16:56.5095731Z %b_features_8_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_8_block_1_1_running_var] 2024-06-26T05:16:56.5096768Z %b_features_8_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_8_block_3_1_running_mean] 2024-06-26T05:16:56.5097803Z %b_features_8_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_8_block_3_1_running_var] 2024-06-26T05:16:56.5098883Z %b_features_9_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_9_block_0_1_running_mean] 2024-06-26T05:16:56.5099911Z %b_features_9_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_9_block_0_1_running_var] 2024-06-26T05:16:56.5101028Z %b_features_9_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_9_block_1_1_running_mean] 2024-06-26T05:16:56.5102072Z %b_features_9_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_9_block_1_1_running_var] 2024-06-26T05:16:56.5103109Z %b_features_9_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_9_block_3_1_running_mean] 2024-06-26T05:16:56.5104125Z %b_features_9_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_9_block_3_1_running_var] 2024-06-26T05:16:56.5105172Z %b_features_10_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_10_block_0_1_running_mean] 2024-06-26T05:16:56.5106233Z %b_features_10_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_10_block_0_1_running_var] 2024-06-26T05:16:56.5107336Z %b_features_10_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_10_block_1_1_running_mean] 2024-06-26T05:16:56.5108392Z %b_features_10_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_10_block_1_1_running_var] 2024-06-26T05:16:56.5109444Z %b_features_10_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_10_block_3_1_running_mean] 2024-06-26T05:16:56.5110505Z %b_features_10_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_10_block_3_1_running_var] 2024-06-26T05:16:56.5111546Z %b_features_11_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_11_block_0_1_running_mean] 2024-06-26T05:16:56.5112610Z %b_features_11_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_11_block_0_1_running_var] 2024-06-26T05:16:56.5113701Z %b_features_11_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_11_block_1_1_running_mean] 2024-06-26T05:16:56.5114759Z %b_features_11_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_11_block_1_1_running_var] 2024-06-26T05:16:56.5115804Z %b_features_11_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_11_block_3_1_running_mean] 2024-06-26T05:16:56.5116864Z %b_features_11_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_11_block_3_1_running_var] 2024-06-26T05:16:56.5117949Z %b_features_12_1_running_mean : [num_users=1] = placeholder[target=b_features_12_1_running_mean] 2024-06-26T05:16:56.5118862Z %b_features_12_1_running_var : [num_users=1] = placeholder[target=b_features_12_1_running_var] 2024-06-26T05:16:56.5119754Z %_lifted_tensor_constant68 : [num_users=1] = placeholder[target=_lifted_tensor_constant68] 2024-06-26T05:16:56.5120630Z %_lifted_tensor_constant69 : [num_users=1] = placeholder[target=_lifted_tensor_constant69] 2024-06-26T05:16:56.5121500Z %_lifted_tensor_constant70 : [num_users=1] = placeholder[target=_lifted_tensor_constant70] 2024-06-26T05:16:56.5122349Z %_lifted_tensor_constant71 : [num_users=1] = placeholder[target=_lifted_tensor_constant71] 2024-06-26T05:16:56.5123215Z %_lifted_tensor_constant72 : [num_users=1] = placeholder[target=_lifted_tensor_constant72] 2024-06-26T05:16:56.5124087Z %_lifted_tensor_constant73 : [num_users=1] = placeholder[target=_lifted_tensor_constant73] 2024-06-26T05:16:56.5125028Z %_lifted_tensor_constant74 : [num_users=1] = placeholder[target=_lifted_tensor_constant74] 2024-06-26T05:16:56.5125892Z %_lifted_tensor_constant75 : [num_users=1] = placeholder[target=_lifted_tensor_constant75] 2024-06-26T05:16:56.5126757Z %_lifted_tensor_constant76 : [num_users=1] = placeholder[target=_lifted_tensor_constant76] 2024-06-26T05:16:56.5127665Z %_lifted_tensor_constant77 : [num_users=1] = placeholder[target=_lifted_tensor_constant77] 2024-06-26T05:16:56.5128514Z %_lifted_tensor_constant78 : [num_users=1] = placeholder[target=_lifted_tensor_constant78] 2024-06-26T05:16:56.5129379Z %_lifted_tensor_constant79 : [num_users=1] = placeholder[target=_lifted_tensor_constant79] 2024-06-26T05:16:56.5130241Z %_lifted_tensor_constant80 : [num_users=1] = placeholder[target=_lifted_tensor_constant80] 2024-06-26T05:16:56.5131087Z %_lifted_tensor_constant81 : [num_users=1] = placeholder[target=_lifted_tensor_constant81] 2024-06-26T05:16:56.5131949Z %_lifted_tensor_constant82 : [num_users=1] = placeholder[target=_lifted_tensor_constant82] 2024-06-26T05:16:56.5132806Z %_lifted_tensor_constant83 : [num_users=1] = placeholder[target=_lifted_tensor_constant83] 2024-06-26T05:16:56.5133667Z %_lifted_tensor_constant84 : [num_users=1] = placeholder[target=_lifted_tensor_constant84] 2024-06-26T05:16:56.5134513Z %_lifted_tensor_constant85 : [num_users=1] = placeholder[target=_lifted_tensor_constant85] 2024-06-26T05:16:56.5135378Z %_lifted_tensor_constant86 : [num_users=1] = placeholder[target=_lifted_tensor_constant86] 2024-06-26T05:16:56.5136280Z %_lifted_tensor_constant87 : [num_users=1] = placeholder[target=_lifted_tensor_constant87] 2024-06-26T05:16:56.5137123Z %_lifted_tensor_constant88 : [num_users=1] = placeholder[target=_lifted_tensor_constant88] 2024-06-26T05:16:56.5137993Z %_lifted_tensor_constant89 : [num_users=1] = placeholder[target=_lifted_tensor_constant89] 2024-06-26T05:16:56.5138860Z %_lifted_tensor_constant90 : [num_users=1] = placeholder[target=_lifted_tensor_constant90] 2024-06-26T05:16:56.5139726Z %_lifted_tensor_constant91 : [num_users=1] = placeholder[target=_lifted_tensor_constant91] 2024-06-26T05:16:56.5140648Z %_lifted_tensor_constant92 : [num_users=1] = placeholder[target=_lifted_tensor_constant92] 2024-06-26T05:16:56.5141508Z %_lifted_tensor_constant93 : [num_users=1] = placeholder[target=_lifted_tensor_constant93] 2024-06-26T05:16:56.5142424Z %_lifted_tensor_constant94 : [num_users=1] = placeholder[target=_lifted_tensor_constant94] 2024-06-26T05:16:56.5143282Z %_lifted_tensor_constant95 : [num_users=1] = placeholder[target=_lifted_tensor_constant95] 2024-06-26T05:16:56.5144147Z %_lifted_tensor_constant96 : [num_users=1] = placeholder[target=_lifted_tensor_constant96] 2024-06-26T05:16:56.5145014Z %_lifted_tensor_constant97 : [num_users=1] = placeholder[target=_lifted_tensor_constant97] 2024-06-26T05:16:56.5145882Z %_lifted_tensor_constant98 : [num_users=1] = placeholder[target=_lifted_tensor_constant98] 2024-06-26T05:16:56.5146724Z %_lifted_tensor_constant99 : [num_users=1] = placeholder[target=_lifted_tensor_constant99] 2024-06-26T05:16:56.5147612Z %_lifted_tensor_constant100 : [num_users=1] = placeholder[target=_lifted_tensor_constant100] 2024-06-26T05:16:56.5148510Z %_lifted_tensor_constant101 : [num_users=1] = placeholder[target=_lifted_tensor_constant101] 2024-06-26T05:16:56.5149386Z %_lifted_tensor_constant102 : [num_users=1] = placeholder[target=_lifted_tensor_constant102] 2024-06-26T05:16:56.5150278Z %_lifted_tensor_constant103 : [num_users=1] = placeholder[target=_lifted_tensor_constant103] 2024-06-26T05:16:56.5151171Z %_lifted_tensor_constant104 : [num_users=1] = placeholder[target=_lifted_tensor_constant104] 2024-06-26T05:16:56.5152042Z %_lifted_tensor_constant105 : [num_users=1] = placeholder[target=_lifted_tensor_constant105] 2024-06-26T05:16:56.5152925Z %_lifted_tensor_constant106 : [num_users=1] = placeholder[target=_lifted_tensor_constant106] 2024-06-26T05:16:56.5153850Z %_lifted_tensor_constant107 : [num_users=1] = placeholder[target=_lifted_tensor_constant107] 2024-06-26T05:16:56.5154742Z %_lifted_tensor_constant108 : [num_users=1] = placeholder[target=_lifted_tensor_constant108] 2024-06-26T05:16:56.5155612Z %_lifted_tensor_constant109 : [num_users=1] = placeholder[target=_lifted_tensor_constant109] 2024-06-26T05:16:56.5156540Z %_lifted_tensor_constant110 : [num_users=1] = placeholder[target=_lifted_tensor_constant110] 2024-06-26T05:16:56.5157426Z %_lifted_tensor_constant111 : [num_users=1] = placeholder[target=_lifted_tensor_constant111] 2024-06-26T05:16:56.5158381Z %_lifted_tensor_constant112 : [num_users=1] = placeholder[target=_lifted_tensor_constant112] 2024-06-26T05:16:56.5159268Z %_lifted_tensor_constant113 : [num_users=1] = placeholder[target=_lifted_tensor_constant113] 2024-06-26T05:16:56.5160150Z %_lifted_tensor_constant114 : [num_users=1] = placeholder[target=_lifted_tensor_constant114] 2024-06-26T05:16:56.5161040Z %_lifted_tensor_constant115 : [num_users=1] = placeholder[target=_lifted_tensor_constant115] 2024-06-26T05:16:56.5161908Z %_lifted_tensor_constant116 : [num_users=1] = placeholder[target=_lifted_tensor_constant116] 2024-06-26T05:16:56.5162805Z %_lifted_tensor_constant117 : [num_users=1] = placeholder[target=_lifted_tensor_constant117] 2024-06-26T05:16:56.5163700Z %_lifted_tensor_constant118 : [num_users=1] = placeholder[target=_lifted_tensor_constant118] 2024-06-26T05:16:56.5164569Z %_lifted_tensor_constant119 : [num_users=1] = placeholder[target=_lifted_tensor_constant119] 2024-06-26T05:16:56.5165497Z %_lifted_tensor_constant120 : [num_users=1] = placeholder[target=_lifted_tensor_constant120] 2024-06-26T05:16:56.5166384Z %_lifted_tensor_constant121 : [num_users=1] = placeholder[target=_lifted_tensor_constant121] 2024-06-26T05:16:56.5167273Z %_lifted_tensor_constant122 : [num_users=1] = placeholder[target=_lifted_tensor_constant122] 2024-06-26T05:16:56.5168147Z %_lifted_tensor_constant123 : [num_users=1] = placeholder[target=_lifted_tensor_constant123] 2024-06-26T05:16:56.5168830Z %x : [num_users=1] = placeholder[target=x] 2024-06-26T05:16:56.5170183Z %aten_convolution_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%x, %p_features_0_0_weight, None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5172976Z %aten__native_batch_norm_legit_no_training_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default, %p_features_0_1_weight, %p_features_0_1_bias, %b_features_0_1_running_mean, %b_features_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5175289Z %getitem : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default, 0), kwargs = {}) 2024-06-26T05:16:56.5176943Z %aten__to_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant68,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5178735Z %aten_add_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem, %aten__to_copy_default), kwargs = {}) 2024-06-26T05:16:56.5180469Z %aten_clamp_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor, 0), kwargs = {}) 2024-06-26T05:16:56.5182144Z %aten_clamp_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default, None, 6), kwargs = {}) 2024-06-26T05:16:56.5183843Z %aten_mul_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem, %aten_clamp_default_1), kwargs = {}) 2024-06-26T05:16:56.5185623Z %aten_div_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor, %_lifted_tensor_constant69), kwargs = {}) 2024-06-26T05:16:56.5187736Z %aten_convolution_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_div_tensor, %p_features_1_block_0_0_weight, None, [2, 2], [1, 1], [1, 1], False, [0, 0], 16), kwargs = {}) 2024-06-26T05:16:56.5190788Z %aten__native_batch_norm_legit_no_training_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_1, %p_features_1_block_0_1_weight, %p_features_1_block_0_1_bias, %b_features_1_block_0_1_running_mean, %b_features_1_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5193299Z %getitem_1 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_1, 0), kwargs = {}) 2024-06-26T05:16:56.5194762Z %aten_relu_default : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%getitem_1,), kwargs = {}) 2024-06-26T05:16:56.5196570Z %aten_mean_dim : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_relu_default, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.5198823Z %aten_convolution_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mean_dim, %p_features_1_block_1_fc1_weight, %p_features_1_block_1_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5201056Z %aten_relu_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_2,), kwargs = {}) 2024-06-26T05:16:56.5203256Z %aten_convolution_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_1, %p_features_1_block_1_fc2_weight, %p_features_1_block_1_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5205567Z %aten__to_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant70,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5207512Z %aten_add_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_convolution_default_3, %aten__to_copy_default_1), kwargs = {}) 2024-06-26T05:16:56.5209292Z %aten_clamp_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_1, 0), kwargs = {}) 2024-06-26T05:16:56.5210991Z %aten_clamp_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_2, None, 6), kwargs = {}) 2024-06-26T05:16:56.5213250Z %aten_div_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_3, %_lifted_tensor_constant71), kwargs = {}) 2024-06-26T05:16:56.5215040Z %aten_mul_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_div_tensor_1, %aten_relu_default), kwargs = {}) 2024-06-26T05:16:56.5217138Z %aten_convolution_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mul_tensor_1, %p_features_1_block_2_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5220282Z %aten__native_batch_norm_legit_no_training_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_4, %p_features_1_block_2_1_weight, %p_features_1_block_2_1_bias, %b_features_1_block_2_1_running_mean, %b_features_1_block_2_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5222785Z %getitem_2 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_2, 0), kwargs = {}) 2024-06-26T05:16:56.5224681Z %aten_convolution_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%getitem_2, %p_features_2_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5227726Z %aten__native_batch_norm_legit_no_training_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_5, %p_features_2_block_0_1_weight, %p_features_2_block_0_1_bias, %b_features_2_block_0_1_running_mean, %b_features_2_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5230222Z %getitem_3 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_3, 0), kwargs = {}) 2024-06-26T05:16:56.5231708Z %aten_relu_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%getitem_3,), kwargs = {}) 2024-06-26T05:16:56.5233704Z %aten_convolution_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_2, %p_features_2_block_1_0_weight, None, [2, 2], [1, 1], [1, 1], False, [0, 0], 72), kwargs = {}) 2024-06-26T05:16:56.5236761Z %aten__native_batch_norm_legit_no_training_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_6, %p_features_2_block_1_1_weight, %p_features_2_block_1_1_bias, %b_features_2_block_1_1_running_mean, %b_features_2_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5239322Z %getitem_4 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_4, 0), kwargs = {}) 2024-06-26T05:16:56.5240801Z %aten_relu_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%getitem_4,), kwargs = {}) 2024-06-26T05:16:56.5242850Z %aten_convolution_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_3, %p_features_2_block_2_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5245876Z %aten__native_batch_norm_legit_no_training_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_7, %p_features_2_block_2_1_weight, %p_features_2_block_2_1_bias, %b_features_2_block_2_1_running_mean, %b_features_2_block_2_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5248367Z %getitem_5 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_5, 0), kwargs = {}) 2024-06-26T05:16:56.5250268Z %aten_convolution_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%getitem_5, %p_features_3_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5253233Z %aten__native_batch_norm_legit_no_training_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_8, %p_features_3_block_0_1_weight, %p_features_3_block_0_1_bias, %b_features_3_block_0_1_running_mean, %b_features_3_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5255720Z %getitem_6 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_6, 0), kwargs = {}) 2024-06-26T05:16:56.5257247Z %aten_relu_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%getitem_6,), kwargs = {}) 2024-06-26T05:16:56.5259246Z %aten_convolution_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_4, %p_features_3_block_1_0_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 88), kwargs = {}) 2024-06-26T05:16:56.5262385Z %aten__native_batch_norm_legit_no_training_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_9, %p_features_3_block_1_1_weight, %p_features_3_block_1_1_bias, %b_features_3_block_1_1_running_mean, %b_features_3_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5264881Z %getitem_7 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_7, 0), kwargs = {}) 2024-06-26T05:16:56.5266364Z %aten_relu_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%getitem_7,), kwargs = {}) 2024-06-26T05:16:56.5268370Z %aten_convolution_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_5, %p_features_3_block_2_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5271385Z %aten__native_batch_norm_legit_no_training_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_10, %p_features_3_block_2_1_weight, %p_features_3_block_2_1_bias, %b_features_3_block_2_1_running_mean, %b_features_3_block_2_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5273936Z %getitem_8 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_8, 0), kwargs = {}) 2024-06-26T05:16:56.5275448Z %aten_add_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_8, %getitem_5), kwargs = {}) 2024-06-26T05:16:56.5277498Z %aten_convolution_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_add_tensor_2, %p_features_4_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5280606Z %aten__native_batch_norm_legit_no_training_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_11, %p_features_4_block_0_1_weight, %p_features_4_block_0_1_bias, %b_features_4_block_0_1_running_mean, %b_features_4_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5283106Z %getitem_9 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_9, 0), kwargs = {}) 2024-06-26T05:16:56.5284784Z %aten__to_copy_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant72,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5286616Z %aten_add_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_9, %aten__to_copy_default_2), kwargs = {}) 2024-06-26T05:16:56.5288296Z %aten_clamp_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_3, 0), kwargs = {}) 2024-06-26T05:16:56.5289992Z %aten_clamp_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_4, None, 6), kwargs = {}) 2024-06-26T05:16:56.5291761Z %aten_mul_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_9, %aten_clamp_default_5), kwargs = {}) 2024-06-26T05:16:56.5293523Z %aten_div_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_2, %_lifted_tensor_constant73), kwargs = {}) 2024-06-26T05:16:56.5295648Z %aten_convolution_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_div_tensor_2, %p_features_4_block_1_0_weight, None, [2, 2], [2, 2], [1, 1], False, [0, 0], 96), kwargs = {}) 2024-06-26T05:16:56.5298710Z %aten__native_batch_norm_legit_no_training_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_12, %p_features_4_block_1_1_weight, %p_features_4_block_1_1_bias, %b_features_4_block_1_1_running_mean, %b_features_4_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5301289Z %getitem_10 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_10, 0), kwargs = {}) 2024-06-26T05:16:56.5302973Z %aten__to_copy_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant74,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5304809Z %aten_add_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_10, %aten__to_copy_default_3), kwargs = {}) 2024-06-26T05:16:56.5306531Z %aten_clamp_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_4, 0), kwargs = {}) 2024-06-26T05:16:56.5308229Z %aten_clamp_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_6, None, 6), kwargs = {}) 2024-06-26T05:16:56.5309951Z %aten_mul_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_10, %aten_clamp_default_7), kwargs = {}) 2024-06-26T05:16:56.5311701Z %aten_div_tensor_3 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_3, %_lifted_tensor_constant75), kwargs = {}) 2024-06-26T05:16:56.5313646Z %aten_mean_dim_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_div_tensor_3, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.5315798Z %aten_convolution_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mean_dim_1, %p_features_4_block_2_fc1_weight, %p_features_4_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5318074Z %aten_relu_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_13,), kwargs = {}) 2024-06-26T05:16:56.5320286Z %aten_convolution_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_6, %p_features_4_block_2_fc2_weight, %p_features_4_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5322605Z %aten__to_copy_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant76,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5324517Z %aten_add_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_convolution_default_14, %aten__to_copy_default_4), kwargs = {}) 2024-06-26T05:16:56.5326288Z %aten_clamp_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_5, 0), kwargs = {}) 2024-06-26T05:16:56.5328026Z %aten_clamp_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_8, None, 6), kwargs = {}) 2024-06-26T05:16:56.5329821Z %aten_div_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_9, %_lifted_tensor_constant77), kwargs = {}) 2024-06-26T05:16:56.5331644Z %aten_mul_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_div_tensor_4, %aten_div_tensor_3), kwargs = {}) 2024-06-26T05:16:56.5333723Z %aten_convolution_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mul_tensor_4, %p_features_4_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5336755Z %aten__native_batch_norm_legit_no_training_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_15, %p_features_4_block_3_1_weight, %p_features_4_block_3_1_bias, %b_features_4_block_3_1_running_mean, %b_features_4_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5339277Z %getitem_11 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_11, 0), kwargs = {}) 2024-06-26T05:16:56.5341263Z %aten_convolution_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%getitem_11, %p_features_5_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5344306Z %aten__native_batch_norm_legit_no_training_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_16, %p_features_5_block_0_1_weight, %p_features_5_block_0_1_bias, %b_features_5_block_0_1_running_mean, %b_features_5_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5346817Z %getitem_12 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_12, 0), kwargs = {}) 2024-06-26T05:16:56.5348524Z %aten__to_copy_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant78,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5350360Z %aten_add_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_12, %aten__to_copy_default_5), kwargs = {}) 2024-06-26T05:16:56.5352058Z %aten_clamp_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_6, 0), kwargs = {}) 2024-06-26T05:16:56.5353777Z %aten_clamp_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_10, None, 6), kwargs = {}) 2024-06-26T05:16:56.5355510Z %aten_mul_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_12, %aten_clamp_default_11), kwargs = {}) 2024-06-26T05:16:56.5357252Z %aten_div_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_5, %_lifted_tensor_constant79), kwargs = {}) 2024-06-26T05:16:56.5359458Z %aten_convolution_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_div_tensor_5, %p_features_5_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], False, [0, 0], 240), kwargs = {}) 2024-06-26T05:16:56.5362552Z %aten__native_batch_norm_legit_no_training_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_17, %p_features_5_block_1_1_weight, %p_features_5_block_1_1_bias, %b_features_5_block_1_1_running_mean, %b_features_5_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5365071Z %getitem_13 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_13, 0), kwargs = {}) 2024-06-26T05:16:56.5366798Z %aten__to_copy_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant80,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5368617Z %aten_add_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_13, %aten__to_copy_default_6), kwargs = {}) 2024-06-26T05:16:56.5370411Z %aten_clamp_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_7, 0), kwargs = {}) 2024-06-26T05:16:56.5372126Z %aten_clamp_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_12, None, 6), kwargs = {}) 2024-06-26T05:16:56.5373860Z %aten_mul_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_13, %aten_clamp_default_13), kwargs = {}) 2024-06-26T05:16:56.5375610Z %aten_div_tensor_6 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_6, %_lifted_tensor_constant81), kwargs = {}) 2024-06-26T05:16:56.5377538Z %aten_mean_dim_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_div_tensor_6, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.5379722Z %aten_convolution_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mean_dim_2, %p_features_5_block_2_fc1_weight, %p_features_5_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5381990Z %aten_relu_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_18,), kwargs = {}) 2024-06-26T05:16:56.5384271Z %aten_convolution_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_7, %p_features_5_block_2_fc2_weight, %p_features_5_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5386586Z %aten__to_copy_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant82,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5388503Z %aten_add_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_convolution_default_19, %aten__to_copy_default_7), kwargs = {}) 2024-06-26T05:16:56.5390277Z %aten_clamp_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_8, 0), kwargs = {}) 2024-06-26T05:16:56.5391985Z %aten_clamp_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_14, None, 6), kwargs = {}) 2024-06-26T05:16:56.5393797Z %aten_div_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_15, %_lifted_tensor_constant83), kwargs = {}) 2024-06-26T05:16:56.5395576Z %aten_mul_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_div_tensor_7, %aten_div_tensor_6), kwargs = {}) 2024-06-26T05:16:56.5397701Z %aten_convolution_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mul_tensor_7, %p_features_5_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5400798Z %aten__native_batch_norm_legit_no_training_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_20, %p_features_5_block_3_1_weight, %p_features_5_block_3_1_bias, %b_features_5_block_3_1_running_mean, %b_features_5_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5403377Z %getitem_14 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_14, 0), kwargs = {}) 2024-06-26T05:16:56.5404913Z %aten_add_tensor_9 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_14, %getitem_11), kwargs = {}) 2024-06-26T05:16:56.5406939Z %aten_convolution_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_add_tensor_9, %p_features_6_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5409967Z %aten__native_batch_norm_legit_no_training_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_21, %p_features_6_block_0_1_weight, %p_features_6_block_0_1_bias, %b_features_6_block_0_1_running_mean, %b_features_6_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5412527Z %getitem_15 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_15, 0), kwargs = {}) 2024-06-26T05:16:56.5414217Z %aten__to_copy_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant84,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5416050Z %aten_add_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_15, %aten__to_copy_default_8), kwargs = {}) 2024-06-26T05:16:56.5417746Z %aten_clamp_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_10, 0), kwargs = {}) 2024-06-26T05:16:56.5419509Z %aten_clamp_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_16, None, 6), kwargs = {}) 2024-06-26T05:16:56.5421306Z %aten_mul_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_15, %aten_clamp_default_17), kwargs = {}) 2024-06-26T05:16:56.5423065Z %aten_div_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_8, %_lifted_tensor_constant85), kwargs = {}) 2024-06-26T05:16:56.5425213Z %aten_convolution_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_div_tensor_8, %p_features_6_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], False, [0, 0], 240), kwargs = {}) 2024-06-26T05:16:56.5428229Z %aten__native_batch_norm_legit_no_training_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_22, %p_features_6_block_1_1_weight, %p_features_6_block_1_1_bias, %b_features_6_block_1_1_running_mean, %b_features_6_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5430759Z %getitem_16 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_16, 0), kwargs = {}) 2024-06-26T05:16:56.5432499Z %aten__to_copy_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant86,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5434319Z %aten_add_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_16, %aten__to_copy_default_9), kwargs = {}) 2024-06-26T05:16:56.5436030Z %aten_clamp_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_11, 0), kwargs = {}) 2024-06-26T05:16:56.5437778Z %aten_clamp_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_18, None, 6), kwargs = {}) 2024-06-26T05:16:56.5439586Z %aten_mul_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_16, %aten_clamp_default_19), kwargs = {}) 2024-06-26T05:16:56.5441343Z %aten_div_tensor_9 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_9, %_lifted_tensor_constant87), kwargs = {}) 2024-06-26T05:16:56.5443222Z %aten_mean_dim_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_div_tensor_9, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.5445380Z %aten_convolution_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mean_dim_3, %p_features_6_block_2_fc1_weight, %p_features_6_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5447624Z %aten_relu_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_23,), kwargs = {}) 2024-06-26T05:16:56.5449841Z %aten_convolution_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_8, %p_features_6_block_2_fc2_weight, %p_features_6_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5452149Z %aten__to_copy_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant88,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5454105Z %aten_add_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_convolution_default_24, %aten__to_copy_default_10), kwargs = {}) 2024-06-26T05:16:56.5455887Z %aten_clamp_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_12, 0), kwargs = {}) 2024-06-26T05:16:56.5457604Z %aten_clamp_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_20, None, 6), kwargs = {}) 2024-06-26T05:16:56.5459420Z %aten_div_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_21, %_lifted_tensor_constant89), kwargs = {}) 2024-06-26T05:16:56.5461295Z %aten_mul_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_div_tensor_10, %aten_div_tensor_9), kwargs = {}) 2024-06-26T05:16:56.5463400Z %aten_convolution_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mul_tensor_10, %p_features_6_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5466435Z %aten__native_batch_norm_legit_no_training_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_25, %p_features_6_block_3_1_weight, %p_features_6_block_3_1_bias, %b_features_6_block_3_1_running_mean, %b_features_6_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5468967Z %getitem_17 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_17, 0), kwargs = {}) 2024-06-26T05:16:56.5470540Z %aten_add_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_17, %aten_add_tensor_9), kwargs = {}) 2024-06-26T05:16:56.5472652Z %aten_convolution_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_add_tensor_13, %p_features_7_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5475687Z %aten__native_batch_norm_legit_no_training_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_26, %p_features_7_block_0_1_weight, %p_features_7_block_0_1_bias, %b_features_7_block_0_1_running_mean, %b_features_7_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5478292Z %getitem_18 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_18, 0), kwargs = {}) 2024-06-26T05:16:56.5479973Z %aten__to_copy_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant90,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5481828Z %aten_add_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_18, %aten__to_copy_default_11), kwargs = {}) 2024-06-26T05:16:56.5483583Z %aten_clamp_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_14, 0), kwargs = {}) 2024-06-26T05:16:56.5485301Z %aten_clamp_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_22, None, 6), kwargs = {}) 2024-06-26T05:16:56.5487019Z %aten_mul_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_18, %aten_clamp_default_23), kwargs = {}) 2024-06-26T05:16:56.5488782Z %aten_div_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_11, %_lifted_tensor_constant91), kwargs = {}) 2024-06-26T05:16:56.5490983Z %aten_convolution_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_div_tensor_11, %p_features_7_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], False, [0, 0], 120), kwargs = {}) 2024-06-26T05:16:56.5494045Z %aten__native_batch_norm_legit_no_training_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_27, %p_features_7_block_1_1_weight, %p_features_7_block_1_1_bias, %b_features_7_block_1_1_running_mean, %b_features_7_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5496554Z %getitem_19 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_19, 0), kwargs = {}) 2024-06-26T05:16:56.5498243Z %aten__to_copy_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant92,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5500155Z %aten_add_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_19, %aten__to_copy_default_12), kwargs = {}) 2024-06-26T05:16:56.5501865Z %aten_clamp_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_15, 0), kwargs = {}) 2024-06-26T05:16:56.5503622Z %aten_clamp_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_24, None, 6), kwargs = {}) 2024-06-26T05:16:56.5505356Z %aten_mul_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_19, %aten_clamp_default_25), kwargs = {}) 2024-06-26T05:16:56.5507112Z %aten_div_tensor_12 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_12, %_lifted_tensor_constant93), kwargs = {}) 2024-06-26T05:16:56.5509038Z %aten_mean_dim_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_div_tensor_12, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.5511221Z %aten_convolution_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mean_dim_4, %p_features_7_block_2_fc1_weight, %p_features_7_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5513419Z %aten_relu_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_28,), kwargs = {}) 2024-06-26T05:16:56.5515632Z %aten_convolution_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_9, %p_features_7_block_2_fc2_weight, %p_features_7_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5518041Z %aten__to_copy_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant94,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5519964Z %aten_add_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_convolution_default_29, %aten__to_copy_default_13), kwargs = {}) 2024-06-26T05:16:56.5521750Z %aten_clamp_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_16, 0), kwargs = {}) 2024-06-26T05:16:56.5523456Z %aten_clamp_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_26, None, 6), kwargs = {}) 2024-06-26T05:16:56.5525284Z %aten_div_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_27, %_lifted_tensor_constant95), kwargs = {}) 2024-06-26T05:16:56.5527092Z %aten_mul_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_div_tensor_13, %aten_div_tensor_12), kwargs = {}) 2024-06-26T05:16:56.5529200Z %aten_convolution_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mul_tensor_13, %p_features_7_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5532227Z %aten__native_batch_norm_legit_no_training_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_30, %p_features_7_block_3_1_weight, %p_features_7_block_3_1_bias, %b_features_7_block_3_1_running_mean, %b_features_7_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5534747Z %getitem_20 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_20, 0), kwargs = {}) 2024-06-26T05:16:56.5536675Z %aten_convolution_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%getitem_20, %p_features_8_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5539687Z %aten__native_batch_norm_legit_no_training_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_31, %p_features_8_block_0_1_weight, %p_features_8_block_0_1_bias, %b_features_8_block_0_1_running_mean, %b_features_8_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5542252Z %getitem_21 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_21, 0), kwargs = {}) 2024-06-26T05:16:56.5543988Z %aten__to_copy_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant96,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5545819Z %aten_add_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_21, %aten__to_copy_default_14), kwargs = {}) 2024-06-26T05:16:56.5547531Z %aten_clamp_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_17, 0), kwargs = {}) 2024-06-26T05:16:56.5549235Z %aten_clamp_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_28, None, 6), kwargs = {}) 2024-06-26T05:16:56.5550977Z %aten_mul_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_21, %aten_clamp_default_29), kwargs = {}) 2024-06-26T05:16:56.5552753Z %aten_div_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_14, %_lifted_tensor_constant97), kwargs = {}) 2024-06-26T05:16:56.5554940Z %aten_convolution_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_div_tensor_14, %p_features_8_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], False, [0, 0], 144), kwargs = {}) 2024-06-26T05:16:56.5558062Z %aten__native_batch_norm_legit_no_training_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_32, %p_features_8_block_1_1_weight, %p_features_8_block_1_1_bias, %b_features_8_block_1_1_running_mean, %b_features_8_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5560608Z %getitem_22 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_22, 0), kwargs = {}) 2024-06-26T05:16:56.5562308Z %aten__to_copy_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant98,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5564142Z %aten_add_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_22, %aten__to_copy_default_15), kwargs = {}) 2024-06-26T05:16:56.5565850Z %aten_clamp_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_18, 0), kwargs = {}) 2024-06-26T05:16:56.5567547Z %aten_clamp_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_30, None, 6), kwargs = {}) 2024-06-26T05:16:56.5569283Z %aten_mul_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_22, %aten_clamp_default_31), kwargs = {}) 2024-06-26T05:16:56.5571055Z %aten_div_tensor_15 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_15, %_lifted_tensor_constant99), kwargs = {}) 2024-06-26T05:16:56.5572947Z %aten_mean_dim_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_div_tensor_15, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.5575165Z %aten_convolution_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mean_dim_5, %p_features_8_block_2_fc1_weight, %p_features_8_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5577357Z %aten_relu_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_33,), kwargs = {}) 2024-06-26T05:16:56.5579625Z %aten_convolution_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_10, %p_features_8_block_2_fc2_weight, %p_features_8_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5582028Z %aten__to_copy_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant100,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5583956Z %aten_add_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_convolution_default_34, %aten__to_copy_default_16), kwargs = {}) 2024-06-26T05:16:56.5585742Z %aten_clamp_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_19, 0), kwargs = {}) 2024-06-26T05:16:56.5587448Z %aten_clamp_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_32, None, 6), kwargs = {}) 2024-06-26T05:16:56.5589309Z %aten_div_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_33, %_lifted_tensor_constant101), kwargs = {}) 2024-06-26T05:16:56.5591118Z %aten_mul_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_div_tensor_16, %aten_div_tensor_15), kwargs = {}) 2024-06-26T05:16:56.5593225Z %aten_convolution_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mul_tensor_16, %p_features_8_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5596291Z %aten__native_batch_norm_legit_no_training_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_35, %p_features_8_block_3_1_weight, %p_features_8_block_3_1_bias, %b_features_8_block_3_1_running_mean, %b_features_8_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5598854Z %getitem_23 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_23, 0), kwargs = {}) 2024-06-26T05:16:56.5600393Z %aten_add_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_23, %getitem_20), kwargs = {}) 2024-06-26T05:16:56.5602447Z %aten_convolution_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_add_tensor_20, %p_features_9_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5605482Z %aten__native_batch_norm_legit_no_training_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_36, %p_features_9_block_0_1_weight, %p_features_9_block_0_1_bias, %b_features_9_block_0_1_running_mean, %b_features_9_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5608018Z %getitem_24 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_24, 0), kwargs = {}) 2024-06-26T05:16:56.5609760Z %aten__to_copy_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant102,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5611598Z %aten_add_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_24, %aten__to_copy_default_17), kwargs = {}) 2024-06-26T05:16:56.5613340Z %aten_clamp_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_21, 0), kwargs = {}) 2024-06-26T05:16:56.5615060Z %aten_clamp_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_34, None, 6), kwargs = {}) 2024-06-26T05:16:56.5616793Z %aten_mul_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_24, %aten_clamp_default_35), kwargs = {}) 2024-06-26T05:16:56.5618556Z %aten_div_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_17, %_lifted_tensor_constant103), kwargs = {}) 2024-06-26T05:16:56.5620793Z %aten_convolution_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_div_tensor_17, %p_features_9_block_1_0_weight, None, [2, 2], [2, 2], [1, 1], False, [0, 0], 288), kwargs = {}) 2024-06-26T05:16:56.5623842Z %aten__native_batch_norm_legit_no_training_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_37, %p_features_9_block_1_1_weight, %p_features_9_block_1_1_bias, %b_features_9_block_1_1_running_mean, %b_features_9_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5626400Z %getitem_25 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_25, 0), kwargs = {}) 2024-06-26T05:16:56.5628089Z %aten__to_copy_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant104,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5629911Z %aten_add_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_25, %aten__to_copy_default_18), kwargs = {}) 2024-06-26T05:16:56.5631654Z %aten_clamp_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_22, 0), kwargs = {}) 2024-06-26T05:16:56.5633362Z %aten_clamp_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_36, None, 6), kwargs = {}) 2024-06-26T05:16:56.5635100Z %aten_mul_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_25, %aten_clamp_default_37), kwargs = {}) 2024-06-26T05:16:56.5636874Z %aten_div_tensor_18 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_18, %_lifted_tensor_constant105), kwargs = {}) 2024-06-26T05:16:56.5638833Z %aten_mean_dim_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_div_tensor_18, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.5641007Z %aten_convolution_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mean_dim_6, %p_features_9_block_2_fc1_weight, %p_features_9_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5643203Z %aten_relu_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_38,), kwargs = {}) 2024-06-26T05:16:56.5645472Z %aten_convolution_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_11, %p_features_9_block_2_fc2_weight, %p_features_9_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5647810Z %aten__to_copy_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant106,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5649765Z %aten_add_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_convolution_default_39, %aten__to_copy_default_19), kwargs = {}) 2024-06-26T05:16:56.5651558Z %aten_clamp_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_23, 0), kwargs = {}) 2024-06-26T05:16:56.5653267Z %aten_clamp_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_38, None, 6), kwargs = {}) 2024-06-26T05:16:56.5655077Z %aten_div_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_39, %_lifted_tensor_constant107), kwargs = {}) 2024-06-26T05:16:56.5656883Z %aten_mul_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_div_tensor_19, %aten_div_tensor_18), kwargs = {}) 2024-06-26T05:16:56.5659056Z %aten_convolution_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mul_tensor_19, %p_features_9_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5662161Z %aten__native_batch_norm_legit_no_training_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_40, %p_features_9_block_3_1_weight, %p_features_9_block_3_1_bias, %b_features_9_block_3_1_running_mean, %b_features_9_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5664678Z %getitem_26 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_26, 0), kwargs = {}) 2024-06-26T05:16:56.5666652Z %aten_convolution_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%getitem_26, %p_features_10_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5669669Z %aten__native_batch_norm_legit_no_training_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_41, %p_features_10_block_0_1_weight, %p_features_10_block_0_1_bias, %b_features_10_block_0_1_running_mean, %b_features_10_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5672187Z %getitem_27 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_27, 0), kwargs = {}) 2024-06-26T05:16:56.5673880Z %aten__to_copy_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant108,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5675727Z %aten_add_tensor_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_27, %aten__to_copy_default_20), kwargs = {}) 2024-06-26T05:16:56.5677436Z %aten_clamp_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_24, 0), kwargs = {}) 2024-06-26T05:16:56.5679275Z %aten_clamp_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_40, None, 6), kwargs = {}) 2024-06-26T05:16:56.5680993Z %aten_mul_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_27, %aten_clamp_default_41), kwargs = {}) 2024-06-26T05:16:56.5682775Z %aten_div_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_20, %_lifted_tensor_constant109), kwargs = {}) 2024-06-26T05:16:56.5684974Z %aten_convolution_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_div_tensor_20, %p_features_10_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], False, [0, 0], 576), kwargs = {}) 2024-06-26T05:16:56.5688028Z %aten__native_batch_norm_legit_no_training_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_42, %p_features_10_block_1_1_weight, %p_features_10_block_1_1_bias, %b_features_10_block_1_1_running_mean, %b_features_10_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5690579Z %getitem_28 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_28, 0), kwargs = {}) 2024-06-26T05:16:56.5692265Z %aten__to_copy_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant110,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5694150Z %aten_add_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_28, %aten__to_copy_default_21), kwargs = {}) 2024-06-26T05:16:56.5695856Z %aten_clamp_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_25, 0), kwargs = {}) 2024-06-26T05:16:56.5697571Z %aten_clamp_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_42, None, 6), kwargs = {}) 2024-06-26T05:16:56.5699298Z %aten_mul_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_28, %aten_clamp_default_43), kwargs = {}) 2024-06-26T05:16:56.5701168Z %aten_div_tensor_21 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_21, %_lifted_tensor_constant111), kwargs = {}) 2024-06-26T05:16:56.5703059Z %aten_mean_dim_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_div_tensor_21, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.5705252Z %aten_convolution_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mean_dim_7, %p_features_10_block_2_fc1_weight, %p_features_10_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5707453Z %aten_relu_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_43,), kwargs = {}) 2024-06-26T05:16:56.5709669Z %aten_convolution_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_12, %p_features_10_block_2_fc2_weight, %p_features_10_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5712011Z %aten__to_copy_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant112,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5713939Z %aten_add_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_convolution_default_44, %aten__to_copy_default_22), kwargs = {}) 2024-06-26T05:16:56.5715763Z %aten_clamp_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_26, 0), kwargs = {}) 2024-06-26T05:16:56.5717487Z %aten_clamp_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_44, None, 6), kwargs = {}) 2024-06-26T05:16:56.5719392Z %aten_div_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_45, %_lifted_tensor_constant113), kwargs = {}) 2024-06-26T05:16:56.5721210Z %aten_mul_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_div_tensor_22, %aten_div_tensor_21), kwargs = {}) 2024-06-26T05:16:56.5723310Z %aten_convolution_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mul_tensor_22, %p_features_10_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5726359Z %aten__native_batch_norm_legit_no_training_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_45, %p_features_10_block_3_1_weight, %p_features_10_block_3_1_bias, %b_features_10_block_3_1_running_mean, %b_features_10_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5728900Z %getitem_29 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_29, 0), kwargs = {}) 2024-06-26T05:16:56.5730473Z %aten_add_tensor_27 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_29, %getitem_26), kwargs = {}) 2024-06-26T05:16:56.5732523Z %aten_convolution_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_add_tensor_27, %p_features_11_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5735612Z %aten__native_batch_norm_legit_no_training_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_46, %p_features_11_block_0_1_weight, %p_features_11_block_0_1_bias, %b_features_11_block_0_1_running_mean, %b_features_11_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5738148Z %getitem_30 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_30, 0), kwargs = {}) 2024-06-26T05:16:56.5739836Z %aten__to_copy_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant114,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5741718Z %aten_add_tensor_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_30, %aten__to_copy_default_23), kwargs = {}) 2024-06-26T05:16:56.5743431Z %aten_clamp_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_28, 0), kwargs = {}) 2024-06-26T05:16:56.5745153Z %aten_clamp_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_46, None, 6), kwargs = {}) 2024-06-26T05:16:56.5746891Z %aten_mul_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_30, %aten_clamp_default_47), kwargs = {}) 2024-06-26T05:16:56.5748669Z %aten_div_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_23, %_lifted_tensor_constant115), kwargs = {}) 2024-06-26T05:16:56.5750846Z %aten_convolution_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_div_tensor_23, %p_features_11_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], False, [0, 0], 576), kwargs = {}) 2024-06-26T05:16:56.5753890Z %aten__native_batch_norm_legit_no_training_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_47, %p_features_11_block_1_1_weight, %p_features_11_block_1_1_bias, %b_features_11_block_1_1_running_mean, %b_features_11_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5756458Z %getitem_31 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_31, 0), kwargs = {}) 2024-06-26T05:16:56.5758220Z %aten__to_copy_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant116,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5760067Z %aten_add_tensor_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_31, %aten__to_copy_default_24), kwargs = {}) 2024-06-26T05:16:56.5761762Z %aten_clamp_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_29, 0), kwargs = {}) 2024-06-26T05:16:56.5763483Z %aten_clamp_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_48, None, 6), kwargs = {}) 2024-06-26T05:16:56.5765261Z %aten_mul_tensor_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_31, %aten_clamp_default_49), kwargs = {}) 2024-06-26T05:16:56.5780140Z %aten_div_tensor_24 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_24, %_lifted_tensor_constant117), kwargs = {}) 2024-06-26T05:16:56.5782105Z %aten_mean_dim_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_div_tensor_24, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.5784509Z %aten_convolution_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mean_dim_8, %p_features_11_block_2_fc1_weight, %p_features_11_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5786733Z %aten_relu_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_48,), kwargs = {}) 2024-06-26T05:16:56.5789011Z %aten_convolution_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_13, %p_features_11_block_2_fc2_weight, %p_features_11_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5791365Z %aten__to_copy_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant118,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5793281Z %aten_add_tensor_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_convolution_default_49, %aten__to_copy_default_25), kwargs = {}) 2024-06-26T05:16:56.5795061Z %aten_clamp_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_30, 0), kwargs = {}) 2024-06-26T05:16:56.5796789Z %aten_clamp_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_50, None, 6), kwargs = {}) 2024-06-26T05:16:56.5798819Z %aten_div_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_51, %_lifted_tensor_constant119), kwargs = {}) 2024-06-26T05:16:56.5800708Z %aten_mul_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_div_tensor_25, %aten_div_tensor_24), kwargs = {}) 2024-06-26T05:16:56.5802831Z %aten_convolution_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mul_tensor_25, %p_features_11_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5805946Z %aten__native_batch_norm_legit_no_training_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_50, %p_features_11_block_3_1_weight, %p_features_11_block_3_1_bias, %b_features_11_block_3_1_running_mean, %b_features_11_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5808456Z %getitem_32 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_32, 0), kwargs = {}) 2024-06-26T05:16:56.5810022Z %aten_add_tensor_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_32, %aten_add_tensor_27), kwargs = {}) 2024-06-26T05:16:56.5812255Z %aten_convolution_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_add_tensor_31, %p_features_12_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.5815181Z %aten__native_batch_norm_legit_no_training_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_51, %p_features_12_1_weight, %p_features_12_1_bias, %b_features_12_1_running_mean, %b_features_12_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.5817577Z %getitem_33 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_33, 0), kwargs = {}) 2024-06-26T05:16:56.5819274Z %aten__to_copy_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant120,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5821258Z %aten_add_tensor_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_33, %aten__to_copy_default_26), kwargs = {}) 2024-06-26T05:16:56.5822963Z %aten_clamp_default_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_32, 0), kwargs = {}) 2024-06-26T05:16:56.5824661Z %aten_clamp_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_52, None, 6), kwargs = {}) 2024-06-26T05:16:56.5826401Z %aten_mul_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_33, %aten_clamp_default_53), kwargs = {}) 2024-06-26T05:16:56.5828177Z %aten_div_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_26, %_lifted_tensor_constant121), kwargs = {}) 2024-06-26T05:16:56.5830066Z %aten_mean_dim_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_div_tensor_26, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.5831836Z %aten_view_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mean_dim_9, [1, 576]), kwargs = {}) 2024-06-26T05:16:56.5833641Z %aten_permute_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%p_classifier_0_weight, [1, 0]), kwargs = {}) 2024-06-26T05:16:56.5835671Z %aten_addmm_default : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.addmm.default](args = (%p_classifier_0_bias, %aten_view_copy_default, %aten_permute_copy_default), kwargs = {}) 2024-06-26T05:16:56.5837713Z %aten__to_copy_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant122,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.5839716Z %aten_add_tensor_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_addmm_default, %aten__to_copy_default_27), kwargs = {}) 2024-06-26T05:16:56.5841454Z %aten_clamp_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_33, 0), kwargs = {}) 2024-06-26T05:16:56.5843356Z %aten_clamp_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_54, None, 6), kwargs = {}) 2024-06-26T05:16:56.5845124Z %aten_mul_tensor_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_addmm_default, %aten_clamp_default_55), kwargs = {}) 2024-06-26T05:16:56.5846933Z %aten_div_tensor_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_27, %_lifted_tensor_constant123), kwargs = {}) 2024-06-26T05:16:56.5848774Z %aten_permute_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%p_classifier_3_weight, [1, 0]), kwargs = {}) 2024-06-26T05:16:56.5850830Z %aten_addmm_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.addmm.default](args = (%p_classifier_3_bias, %aten_div_tensor_27, %aten_permute_copy_default_1), kwargs = {}) 2024-06-26T05:16:56.5852090Z return (aten_addmm_default_1,) 2024-06-26T05:16:56.5852475Z INFO:root:Exported graph: 2024-06-26T05:16:56.5852780Z graph(): 2024-06-26T05:16:56.5853255Z %p_features_0_0_weight : [num_users=1] = placeholder[target=p_features_0_0_weight] 2024-06-26T05:16:56.5854067Z %p_features_0_1_weight : [num_users=1] = placeholder[target=p_features_0_1_weight] 2024-06-26T05:16:56.5854839Z %p_features_0_1_bias : [num_users=1] = placeholder[target=p_features_0_1_bias] 2024-06-26T05:16:56.5855744Z %p_features_1_block_0_0_weight : [num_users=1] = placeholder[target=p_features_1_block_0_0_weight] 2024-06-26T05:16:56.5856701Z %p_features_1_block_0_1_weight : [num_users=1] = placeholder[target=p_features_1_block_0_1_weight] 2024-06-26T05:16:56.5857608Z %p_features_1_block_0_1_bias : [num_users=1] = placeholder[target=p_features_1_block_0_1_bias] 2024-06-26T05:16:56.5858557Z %p_features_1_block_1_fc1_weight : [num_users=1] = placeholder[target=p_features_1_block_1_fc1_weight] 2024-06-26T05:16:56.5859528Z %p_features_1_block_1_fc1_bias : [num_users=1] = placeholder[target=p_features_1_block_1_fc1_bias] 2024-06-26T05:16:56.5860564Z %p_features_1_block_1_fc2_weight : [num_users=1] = placeholder[target=p_features_1_block_1_fc2_weight] 2024-06-26T05:16:56.5861517Z %p_features_1_block_1_fc2_bias : [num_users=1] = placeholder[target=p_features_1_block_1_fc2_bias] 2024-06-26T05:16:56.5862464Z %p_features_1_block_2_0_weight : [num_users=1] = placeholder[target=p_features_1_block_2_0_weight] 2024-06-26T05:16:56.5863412Z %p_features_1_block_2_1_weight : [num_users=1] = placeholder[target=p_features_1_block_2_1_weight] 2024-06-26T05:16:56.5864328Z %p_features_1_block_2_1_bias : [num_users=1] = placeholder[target=p_features_1_block_2_1_bias] 2024-06-26T05:16:56.5865237Z %p_features_2_block_0_0_weight : [num_users=1] = placeholder[target=p_features_2_block_0_0_weight] 2024-06-26T05:16:56.5866181Z %p_features_2_block_0_1_weight : [num_users=1] = placeholder[target=p_features_2_block_0_1_weight] 2024-06-26T05:16:56.5867160Z %p_features_2_block_0_1_bias : [num_users=1] = placeholder[target=p_features_2_block_0_1_bias] 2024-06-26T05:16:56.5868073Z %p_features_2_block_1_0_weight : [num_users=1] = placeholder[target=p_features_2_block_1_0_weight] 2024-06-26T05:16:56.5869007Z %p_features_2_block_1_1_weight : [num_users=1] = placeholder[target=p_features_2_block_1_1_weight] 2024-06-26T05:16:56.5869963Z %p_features_2_block_1_1_bias : [num_users=1] = placeholder[target=p_features_2_block_1_1_bias] 2024-06-26T05:16:56.5870885Z %p_features_2_block_2_0_weight : [num_users=1] = placeholder[target=p_features_2_block_2_0_weight] 2024-06-26T05:16:56.5871821Z %p_features_2_block_2_1_weight : [num_users=1] = placeholder[target=p_features_2_block_2_1_weight] 2024-06-26T05:16:56.5872736Z %p_features_2_block_2_1_bias : [num_users=1] = placeholder[target=p_features_2_block_2_1_bias] 2024-06-26T05:16:56.5873661Z %p_features_3_block_0_0_weight : [num_users=1] = placeholder[target=p_features_3_block_0_0_weight] 2024-06-26T05:16:56.5874595Z %p_features_3_block_0_1_weight : [num_users=1] = placeholder[target=p_features_3_block_0_1_weight] 2024-06-26T05:16:56.5875520Z %p_features_3_block_0_1_bias : [num_users=1] = placeholder[target=p_features_3_block_0_1_bias] 2024-06-26T05:16:56.5876441Z %p_features_3_block_1_0_weight : [num_users=1] = placeholder[target=p_features_3_block_1_0_weight] 2024-06-26T05:16:56.5877389Z %p_features_3_block_1_1_weight : [num_users=1] = placeholder[target=p_features_3_block_1_1_weight] 2024-06-26T05:16:56.5878476Z %p_features_3_block_1_1_bias : [num_users=1] = placeholder[target=p_features_3_block_1_1_bias] 2024-06-26T05:16:56.5879443Z %p_features_3_block_2_0_weight : [num_users=1] = placeholder[target=p_features_3_block_2_0_weight] 2024-06-26T05:16:56.5880388Z %p_features_3_block_2_1_weight : [num_users=1] = placeholder[target=p_features_3_block_2_1_weight] 2024-06-26T05:16:56.5881291Z %p_features_3_block_2_1_bias : [num_users=1] = placeholder[target=p_features_3_block_2_1_bias] 2024-06-26T05:16:56.5882214Z %p_features_4_block_0_0_weight : [num_users=1] = placeholder[target=p_features_4_block_0_0_weight] 2024-06-26T05:16:56.5883156Z %p_features_4_block_0_1_weight : [num_users=1] = placeholder[target=p_features_4_block_0_1_weight] 2024-06-26T05:16:56.5884076Z %p_features_4_block_0_1_bias : [num_users=1] = placeholder[target=p_features_4_block_0_1_bias] 2024-06-26T05:16:56.5885034Z %p_features_4_block_1_0_weight : [num_users=1] = placeholder[target=p_features_4_block_1_0_weight] 2024-06-26T05:16:56.5885982Z %p_features_4_block_1_1_weight : [num_users=1] = placeholder[target=p_features_4_block_1_1_weight] 2024-06-26T05:16:56.5886899Z %p_features_4_block_1_1_bias : [num_users=1] = placeholder[target=p_features_4_block_1_1_bias] 2024-06-26T05:16:56.5887831Z %p_features_4_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_4_block_2_fc1_weight] 2024-06-26T05:16:56.5888793Z %p_features_4_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_4_block_2_fc1_bias] 2024-06-26T05:16:56.5889763Z %p_features_4_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_4_block_2_fc2_weight] 2024-06-26T05:16:56.5890720Z %p_features_4_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_4_block_2_fc2_bias] 2024-06-26T05:16:56.5891656Z %p_features_4_block_3_0_weight : [num_users=1] = placeholder[target=p_features_4_block_3_0_weight] 2024-06-26T05:16:56.5892602Z %p_features_4_block_3_1_weight : [num_users=1] = placeholder[target=p_features_4_block_3_1_weight] 2024-06-26T05:16:56.5893519Z %p_features_4_block_3_1_bias : [num_users=1] = placeholder[target=p_features_4_block_3_1_bias] 2024-06-26T05:16:56.5894428Z %p_features_5_block_0_0_weight : [num_users=1] = placeholder[target=p_features_5_block_0_0_weight] 2024-06-26T05:16:56.5895369Z %p_features_5_block_0_1_weight : [num_users=1] = placeholder[target=p_features_5_block_0_1_weight] 2024-06-26T05:16:56.5896327Z %p_features_5_block_0_1_bias : [num_users=1] = placeholder[target=p_features_5_block_0_1_bias] 2024-06-26T05:16:56.5897252Z %p_features_5_block_1_0_weight : [num_users=1] = placeholder[target=p_features_5_block_1_0_weight] 2024-06-26T05:16:56.5898179Z %p_features_5_block_1_1_weight : [num_users=1] = placeholder[target=p_features_5_block_1_1_weight] 2024-06-26T05:16:56.5899094Z %p_features_5_block_1_1_bias : [num_users=1] = placeholder[target=p_features_5_block_1_1_bias] 2024-06-26T05:16:56.5900143Z %p_features_5_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_5_block_2_fc1_weight] 2024-06-26T05:16:56.5901101Z %p_features_5_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_5_block_2_fc1_bias] 2024-06-26T05:16:56.5902060Z %p_features_5_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_5_block_2_fc2_weight] 2024-06-26T05:16:56.5903141Z %p_features_5_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_5_block_2_fc2_bias] 2024-06-26T05:16:56.5904090Z %p_features_5_block_3_0_weight : [num_users=1] = placeholder[target=p_features_5_block_3_0_weight] 2024-06-26T05:16:56.5905014Z %p_features_5_block_3_1_weight : [num_users=1] = placeholder[target=p_features_5_block_3_1_weight] 2024-06-26T05:16:56.5905937Z %p_features_5_block_3_1_bias : [num_users=1] = placeholder[target=p_features_5_block_3_1_bias] 2024-06-26T05:16:56.5906864Z %p_features_6_block_0_0_weight : [num_users=1] = placeholder[target=p_features_6_block_0_0_weight] 2024-06-26T05:16:56.5907811Z %p_features_6_block_0_1_weight : [num_users=1] = placeholder[target=p_features_6_block_0_1_weight] 2024-06-26T05:16:56.5908756Z %p_features_6_block_0_1_bias : [num_users=1] = placeholder[target=p_features_6_block_0_1_bias] 2024-06-26T05:16:56.5909675Z %p_features_6_block_1_0_weight : [num_users=1] = placeholder[target=p_features_6_block_1_0_weight] 2024-06-26T05:16:56.5910616Z %p_features_6_block_1_1_weight : [num_users=1] = placeholder[target=p_features_6_block_1_1_weight] 2024-06-26T05:16:56.5911520Z %p_features_6_block_1_1_bias : [num_users=1] = placeholder[target=p_features_6_block_1_1_bias] 2024-06-26T05:16:56.5912462Z %p_features_6_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_6_block_2_fc1_weight] 2024-06-26T05:16:56.5913424Z %p_features_6_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_6_block_2_fc1_bias] 2024-06-26T05:16:56.5914422Z %p_features_6_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_6_block_2_fc2_weight] 2024-06-26T05:16:56.5915380Z %p_features_6_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_6_block_2_fc2_bias] 2024-06-26T05:16:56.5916320Z %p_features_6_block_3_0_weight : [num_users=1] = placeholder[target=p_features_6_block_3_0_weight] 2024-06-26T05:16:56.5917259Z %p_features_6_block_3_1_weight : [num_users=1] = placeholder[target=p_features_6_block_3_1_weight] 2024-06-26T05:16:56.5918297Z %p_features_6_block_3_1_bias : [num_users=1] = placeholder[target=p_features_6_block_3_1_bias] 2024-06-26T05:16:56.5919214Z %p_features_7_block_0_0_weight : [num_users=1] = placeholder[target=p_features_7_block_0_0_weight] 2024-06-26T05:16:56.5920164Z %p_features_7_block_0_1_weight : [num_users=1] = placeholder[target=p_features_7_block_0_1_weight] 2024-06-26T05:16:56.5921081Z %p_features_7_block_0_1_bias : [num_users=1] = placeholder[target=p_features_7_block_0_1_bias] 2024-06-26T05:16:56.5922002Z %p_features_7_block_1_0_weight : [num_users=1] = placeholder[target=p_features_7_block_1_0_weight] 2024-06-26T05:16:56.5922949Z %p_features_7_block_1_1_weight : [num_users=1] = placeholder[target=p_features_7_block_1_1_weight] 2024-06-26T05:16:56.5923864Z %p_features_7_block_1_1_bias : [num_users=1] = placeholder[target=p_features_7_block_1_1_bias] 2024-06-26T05:16:56.5924794Z %p_features_7_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_7_block_2_fc1_weight] 2024-06-26T05:16:56.5925820Z %p_features_7_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_7_block_2_fc1_bias] 2024-06-26T05:16:56.5926791Z %p_features_7_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_7_block_2_fc2_weight] 2024-06-26T05:16:56.5927750Z %p_features_7_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_7_block_2_fc2_bias] 2024-06-26T05:16:56.5928684Z %p_features_7_block_3_0_weight : [num_users=1] = placeholder[target=p_features_7_block_3_0_weight] 2024-06-26T05:16:56.5929691Z %p_features_7_block_3_1_weight : [num_users=1] = placeholder[target=p_features_7_block_3_1_weight] 2024-06-26T05:16:56.5930611Z %p_features_7_block_3_1_bias : [num_users=1] = placeholder[target=p_features_7_block_3_1_bias] 2024-06-26T05:16:56.5931519Z %p_features_8_block_0_0_weight : [num_users=1] = placeholder[target=p_features_8_block_0_0_weight] 2024-06-26T05:16:56.5932463Z %p_features_8_block_0_1_weight : [num_users=1] = placeholder[target=p_features_8_block_0_1_weight] 2024-06-26T05:16:56.5933387Z %p_features_8_block_0_1_bias : [num_users=1] = placeholder[target=p_features_8_block_0_1_bias] 2024-06-26T05:16:56.5934312Z %p_features_8_block_1_0_weight : [num_users=1] = placeholder[target=p_features_8_block_1_0_weight] 2024-06-26T05:16:56.5935241Z %p_features_8_block_1_1_weight : [num_users=1] = placeholder[target=p_features_8_block_1_1_weight] 2024-06-26T05:16:56.5936163Z %p_features_8_block_1_1_bias : [num_users=1] = placeholder[target=p_features_8_block_1_1_bias] 2024-06-26T05:16:56.5937100Z %p_features_8_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_8_block_2_fc1_weight] 2024-06-26T05:16:56.5938089Z %p_features_8_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_8_block_2_fc1_bias] 2024-06-26T05:16:56.5939046Z %p_features_8_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_8_block_2_fc2_weight] 2024-06-26T05:16:56.5940071Z %p_features_8_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_8_block_2_fc2_bias] 2024-06-26T05:16:56.5941020Z %p_features_8_block_3_0_weight : [num_users=1] = placeholder[target=p_features_8_block_3_0_weight] 2024-06-26T05:16:56.5941950Z %p_features_8_block_3_1_weight : [num_users=1] = placeholder[target=p_features_8_block_3_1_weight] 2024-06-26T05:16:56.5942877Z %p_features_8_block_3_1_bias : [num_users=1] = placeholder[target=p_features_8_block_3_1_bias] 2024-06-26T05:16:56.5943843Z %p_features_9_block_0_0_weight : [num_users=1] = placeholder[target=p_features_9_block_0_0_weight] 2024-06-26T05:16:56.5944776Z %p_features_9_block_0_1_weight : [num_users=1] = placeholder[target=p_features_9_block_0_1_weight] 2024-06-26T05:16:56.5945694Z %p_features_9_block_0_1_bias : [num_users=1] = placeholder[target=p_features_9_block_0_1_bias] 2024-06-26T05:16:56.5946608Z %p_features_9_block_1_0_weight : [num_users=1] = placeholder[target=p_features_9_block_1_0_weight] 2024-06-26T05:16:56.5947542Z %p_features_9_block_1_1_weight : [num_users=1] = placeholder[target=p_features_9_block_1_1_weight] 2024-06-26T05:16:56.5948446Z %p_features_9_block_1_1_bias : [num_users=1] = placeholder[target=p_features_9_block_1_1_bias] 2024-06-26T05:16:56.5949394Z %p_features_9_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_9_block_2_fc1_weight] 2024-06-26T05:16:56.5950358Z %p_features_9_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_9_block_2_fc1_bias] 2024-06-26T05:16:56.5951326Z %p_features_9_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_9_block_2_fc2_weight] 2024-06-26T05:16:56.5952279Z %p_features_9_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_9_block_2_fc2_bias] 2024-06-26T05:16:56.5953221Z %p_features_9_block_3_0_weight : [num_users=1] = placeholder[target=p_features_9_block_3_0_weight] 2024-06-26T05:16:56.5954155Z %p_features_9_block_3_1_weight : [num_users=1] = placeholder[target=p_features_9_block_3_1_weight] 2024-06-26T05:16:56.5955095Z %p_features_9_block_3_1_bias : [num_users=1] = placeholder[target=p_features_9_block_3_1_bias] 2024-06-26T05:16:56.5956037Z %p_features_10_block_0_0_weight : [num_users=1] = placeholder[target=p_features_10_block_0_0_weight] 2024-06-26T05:16:56.5957009Z %p_features_10_block_0_1_weight : [num_users=1] = placeholder[target=p_features_10_block_0_1_weight] 2024-06-26T05:16:56.5958100Z %p_features_10_block_0_1_bias : [num_users=1] = placeholder[target=p_features_10_block_0_1_bias] 2024-06-26T05:16:56.5959087Z %p_features_10_block_1_0_weight : [num_users=1] = placeholder[target=p_features_10_block_1_0_weight] 2024-06-26T05:16:56.5960059Z %p_features_10_block_1_1_weight : [num_users=1] = placeholder[target=p_features_10_block_1_1_weight] 2024-06-26T05:16:56.5961002Z %p_features_10_block_1_1_bias : [num_users=1] = placeholder[target=p_features_10_block_1_1_bias] 2024-06-26T05:16:56.5961955Z %p_features_10_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_10_block_2_fc1_weight] 2024-06-26T05:16:56.5962940Z %p_features_10_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_10_block_2_fc1_bias] 2024-06-26T05:16:56.5963924Z %p_features_10_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_10_block_2_fc2_weight] 2024-06-26T05:16:56.5964908Z %p_features_10_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_10_block_2_fc2_bias] 2024-06-26T05:16:56.5965852Z %p_features_10_block_3_0_weight : [num_users=1] = placeholder[target=p_features_10_block_3_0_weight] 2024-06-26T05:16:56.5966814Z %p_features_10_block_3_1_weight : [num_users=1] = placeholder[target=p_features_10_block_3_1_weight] 2024-06-26T05:16:56.5967807Z %p_features_10_block_3_1_bias : [num_users=1] = placeholder[target=p_features_10_block_3_1_bias] 2024-06-26T05:16:56.5968732Z %p_features_11_block_0_0_weight : [num_users=1] = placeholder[target=p_features_11_block_0_0_weight] 2024-06-26T05:16:56.5969696Z %p_features_11_block_0_1_weight : [num_users=1] = placeholder[target=p_features_11_block_0_1_weight] 2024-06-26T05:16:56.5970643Z %p_features_11_block_0_1_bias : [num_users=1] = placeholder[target=p_features_11_block_0_1_bias] 2024-06-26T05:16:56.5971580Z %p_features_11_block_1_0_weight : [num_users=1] = placeholder[target=p_features_11_block_1_0_weight] 2024-06-26T05:16:56.5972525Z %p_features_11_block_1_1_weight : [num_users=1] = placeholder[target=p_features_11_block_1_1_weight] 2024-06-26T05:16:56.5973507Z %p_features_11_block_1_1_bias : [num_users=1] = placeholder[target=p_features_11_block_1_1_bias] 2024-06-26T05:16:56.5974481Z %p_features_11_block_2_fc1_weight : [num_users=1] = placeholder[target=p_features_11_block_2_fc1_weight] 2024-06-26T05:16:56.5975452Z %p_features_11_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_11_block_2_fc1_bias] 2024-06-26T05:16:56.5976435Z %p_features_11_block_2_fc2_weight : [num_users=1] = placeholder[target=p_features_11_block_2_fc2_weight] 2024-06-26T05:16:56.5977413Z %p_features_11_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_11_block_2_fc2_bias] 2024-06-26T05:16:56.5978365Z %p_features_11_block_3_0_weight : [num_users=1] = placeholder[target=p_features_11_block_3_0_weight] 2024-06-26T05:16:56.5979305Z %p_features_11_block_3_1_weight : [num_users=1] = placeholder[target=p_features_11_block_3_1_weight] 2024-06-26T05:16:56.5980323Z %p_features_11_block_3_1_bias : [num_users=1] = placeholder[target=p_features_11_block_3_1_bias] 2024-06-26T05:16:56.5981206Z %p_features_12_0_weight : [num_users=1] = placeholder[target=p_features_12_0_weight] 2024-06-26T05:16:56.5982014Z %p_features_12_1_weight : [num_users=1] = placeholder[target=p_features_12_1_weight] 2024-06-26T05:16:56.5982815Z %p_features_12_1_bias : [num_users=1] = placeholder[target=p_features_12_1_bias] 2024-06-26T05:16:56.5983619Z %p_classifier_0_weight : [num_users=1] = placeholder[target=p_classifier_0_weight] 2024-06-26T05:16:56.5984421Z %p_classifier_0_bias : [num_users=1] = placeholder[target=p_classifier_0_bias] 2024-06-26T05:16:56.5985243Z %p_classifier_3_weight : [num_users=1] = placeholder[target=p_classifier_3_weight] 2024-06-26T05:16:56.5986046Z %p_classifier_3_bias : [num_users=1] = placeholder[target=p_classifier_3_bias] 2024-06-26T05:16:56.5986886Z %b_features_0_1_running_mean : [num_users=1] = placeholder[target=b_features_0_1_running_mean] 2024-06-26T05:16:56.5987807Z %b_features_0_1_running_var : [num_users=1] = placeholder[target=b_features_0_1_running_var] 2024-06-26T05:16:56.5988787Z %b_features_1_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_1_block_0_1_running_mean] 2024-06-26T05:16:56.5989835Z %b_features_1_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_1_block_0_1_running_var] 2024-06-26T05:16:56.5990881Z %b_features_1_block_2_1_running_mean : [num_users=1] = placeholder[target=b_features_1_block_2_1_running_mean] 2024-06-26T05:16:56.5991911Z %b_features_1_block_2_1_running_var : [num_users=1] = placeholder[target=b_features_1_block_2_1_running_var] 2024-06-26T05:16:56.5992954Z %b_features_2_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_2_block_0_1_running_mean] 2024-06-26T05:16:56.5993990Z %b_features_2_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_2_block_0_1_running_var] 2024-06-26T05:16:56.5995022Z %b_features_2_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_2_block_1_1_running_mean] 2024-06-26T05:16:56.5996058Z %b_features_2_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_2_block_1_1_running_var] 2024-06-26T05:16:56.5997135Z %b_features_2_block_2_1_running_mean : [num_users=1] = placeholder[target=b_features_2_block_2_1_running_mean] 2024-06-26T05:16:56.5998315Z %b_features_2_block_2_1_running_var : [num_users=1] = placeholder[target=b_features_2_block_2_1_running_var] 2024-06-26T05:16:56.5999352Z %b_features_3_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_3_block_0_1_running_mean] 2024-06-26T05:16:56.6000389Z %b_features_3_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_3_block_0_1_running_var] 2024-06-26T05:16:56.6001431Z %b_features_3_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_3_block_1_1_running_mean] 2024-06-26T05:16:56.6002471Z %b_features_3_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_3_block_1_1_running_var] 2024-06-26T05:16:56.6003548Z %b_features_3_block_2_1_running_mean : [num_users=1] = placeholder[target=b_features_3_block_2_1_running_mean] 2024-06-26T05:16:56.6004581Z %b_features_3_block_2_1_running_var : [num_users=1] = placeholder[target=b_features_3_block_2_1_running_var] 2024-06-26T05:16:56.6005616Z %b_features_4_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_4_block_0_1_running_mean] 2024-06-26T05:16:56.6006641Z %b_features_4_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_4_block_0_1_running_var] 2024-06-26T05:16:56.6007681Z %b_features_4_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_4_block_1_1_running_mean] 2024-06-26T05:16:56.6008721Z %b_features_4_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_4_block_1_1_running_var] 2024-06-26T05:16:56.6009759Z %b_features_4_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_4_block_3_1_running_mean] 2024-06-26T05:16:56.6010782Z %b_features_4_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_4_block_3_1_running_var] 2024-06-26T05:16:56.6011817Z %b_features_5_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_5_block_0_1_running_mean] 2024-06-26T05:16:56.6012843Z %b_features_5_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_5_block_0_1_running_var] 2024-06-26T05:16:56.6013886Z %b_features_5_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_5_block_1_1_running_mean] 2024-06-26T05:16:56.6014943Z %b_features_5_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_5_block_1_1_running_var] 2024-06-26T05:16:56.6015982Z %b_features_5_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_5_block_3_1_running_mean] 2024-06-26T05:16:56.6017016Z %b_features_5_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_5_block_3_1_running_var] 2024-06-26T05:16:56.6018086Z %b_features_6_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_6_block_0_1_running_mean] 2024-06-26T05:16:56.6019123Z %b_features_6_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_6_block_0_1_running_var] 2024-06-26T05:16:56.6020247Z %b_features_6_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_6_block_1_1_running_mean] 2024-06-26T05:16:56.6021282Z %b_features_6_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_6_block_1_1_running_var] 2024-06-26T05:16:56.6022310Z %b_features_6_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_6_block_3_1_running_mean] 2024-06-26T05:16:56.6023345Z %b_features_6_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_6_block_3_1_running_var] 2024-06-26T05:16:56.6024384Z %b_features_7_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_7_block_0_1_running_mean] 2024-06-26T05:16:56.6025427Z %b_features_7_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_7_block_0_1_running_var] 2024-06-26T05:16:56.6026454Z %b_features_7_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_7_block_1_1_running_mean] 2024-06-26T05:16:56.6027536Z %b_features_7_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_7_block_1_1_running_var] 2024-06-26T05:16:56.6028565Z %b_features_7_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_7_block_3_1_running_mean] 2024-06-26T05:16:56.6029587Z %b_features_7_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_7_block_3_1_running_var] 2024-06-26T05:16:56.6030621Z %b_features_8_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_8_block_0_1_running_mean] 2024-06-26T05:16:56.6031651Z %b_features_8_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_8_block_0_1_running_var] 2024-06-26T05:16:56.6032694Z %b_features_8_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_8_block_1_1_running_mean] 2024-06-26T05:16:56.6033748Z %b_features_8_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_8_block_1_1_running_var] 2024-06-26T05:16:56.6034790Z %b_features_8_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_8_block_3_1_running_mean] 2024-06-26T05:16:56.6035824Z %b_features_8_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_8_block_3_1_running_var] 2024-06-26T05:16:56.6036851Z %b_features_9_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_9_block_0_1_running_mean] 2024-06-26T05:16:56.6038029Z %b_features_9_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_9_block_0_1_running_var] 2024-06-26T05:16:56.6039083Z %b_features_9_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_9_block_1_1_running_mean] 2024-06-26T05:16:56.6040123Z %b_features_9_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_9_block_1_1_running_var] 2024-06-26T05:16:56.6041154Z %b_features_9_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_9_block_3_1_running_mean] 2024-06-26T05:16:56.6042179Z %b_features_9_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_9_block_3_1_running_var] 2024-06-26T05:16:56.6043222Z %b_features_10_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_10_block_0_1_running_mean] 2024-06-26T05:16:56.6044275Z %b_features_10_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_10_block_0_1_running_var] 2024-06-26T05:16:56.6045362Z %b_features_10_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_10_block_1_1_running_mean] 2024-06-26T05:16:56.6046422Z %b_features_10_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_10_block_1_1_running_var] 2024-06-26T05:16:56.6047476Z %b_features_10_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_10_block_3_1_running_mean] 2024-06-26T05:16:56.6048559Z %b_features_10_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_10_block_3_1_running_var] 2024-06-26T05:16:56.6049619Z %b_features_11_block_0_1_running_mean : [num_users=1] = placeholder[target=b_features_11_block_0_1_running_mean] 2024-06-26T05:16:56.6050669Z %b_features_11_block_0_1_running_var : [num_users=1] = placeholder[target=b_features_11_block_0_1_running_var] 2024-06-26T05:16:56.6051710Z %b_features_11_block_1_1_running_mean : [num_users=1] = placeholder[target=b_features_11_block_1_1_running_mean] 2024-06-26T05:16:56.6052752Z %b_features_11_block_1_1_running_var : [num_users=1] = placeholder[target=b_features_11_block_1_1_running_var] 2024-06-26T05:16:56.6053805Z %b_features_11_block_3_1_running_mean : [num_users=1] = placeholder[target=b_features_11_block_3_1_running_mean] 2024-06-26T05:16:56.6054846Z %b_features_11_block_3_1_running_var : [num_users=1] = placeholder[target=b_features_11_block_3_1_running_var] 2024-06-26T05:16:56.6055834Z %b_features_12_1_running_mean : [num_users=1] = placeholder[target=b_features_12_1_running_mean] 2024-06-26T05:16:56.6056778Z %b_features_12_1_running_var : [num_users=1] = placeholder[target=b_features_12_1_running_var] 2024-06-26T05:16:56.6057666Z %_lifted_tensor_constant68 : [num_users=1] = placeholder[target=_lifted_tensor_constant68] 2024-06-26T05:16:56.6058546Z %_lifted_tensor_constant69 : [num_users=1] = placeholder[target=_lifted_tensor_constant69] 2024-06-26T05:16:56.6059412Z %_lifted_tensor_constant70 : [num_users=1] = placeholder[target=_lifted_tensor_constant70] 2024-06-26T05:16:56.6060344Z %_lifted_tensor_constant71 : [num_users=1] = placeholder[target=_lifted_tensor_constant71] 2024-06-26T05:16:56.6061216Z %_lifted_tensor_constant72 : [num_users=1] = placeholder[target=_lifted_tensor_constant72] 2024-06-26T05:16:56.6062081Z %_lifted_tensor_constant73 : [num_users=1] = placeholder[target=_lifted_tensor_constant73] 2024-06-26T05:16:56.6062973Z %_lifted_tensor_constant74 : [num_users=1] = placeholder[target=_lifted_tensor_constant74] 2024-06-26T05:16:56.6063840Z %_lifted_tensor_constant75 : [num_users=1] = placeholder[target=_lifted_tensor_constant75] 2024-06-26T05:16:56.6064710Z %_lifted_tensor_constant76 : [num_users=1] = placeholder[target=_lifted_tensor_constant76] 2024-06-26T05:16:56.6065566Z %_lifted_tensor_constant77 : [num_users=1] = placeholder[target=_lifted_tensor_constant77] 2024-06-26T05:16:56.6066439Z %_lifted_tensor_constant78 : [num_users=1] = placeholder[target=_lifted_tensor_constant78] 2024-06-26T05:16:56.6067306Z %_lifted_tensor_constant79 : [num_users=1] = placeholder[target=_lifted_tensor_constant79] 2024-06-26T05:16:56.6068175Z %_lifted_tensor_constant80 : [num_users=1] = placeholder[target=_lifted_tensor_constant80] 2024-06-26T05:16:56.6069026Z %_lifted_tensor_constant81 : [num_users=1] = placeholder[target=_lifted_tensor_constant81] 2024-06-26T05:16:56.6069900Z %_lifted_tensor_constant82 : [num_users=1] = placeholder[target=_lifted_tensor_constant82] 2024-06-26T05:16:56.6070770Z %_lifted_tensor_constant83 : [num_users=1] = placeholder[target=_lifted_tensor_constant83] 2024-06-26T05:16:56.6071629Z %_lifted_tensor_constant84 : [num_users=1] = placeholder[target=_lifted_tensor_constant84] 2024-06-26T05:16:56.6072493Z %_lifted_tensor_constant85 : [num_users=1] = placeholder[target=_lifted_tensor_constant85] 2024-06-26T05:16:56.6073356Z %_lifted_tensor_constant86 : [num_users=1] = placeholder[target=_lifted_tensor_constant86] 2024-06-26T05:16:56.6074266Z %_lifted_tensor_constant87 : [num_users=1] = placeholder[target=_lifted_tensor_constant87] 2024-06-26T05:16:56.6075125Z %_lifted_tensor_constant88 : [num_users=1] = placeholder[target=_lifted_tensor_constant88] 2024-06-26T05:16:56.6075992Z %_lifted_tensor_constant89 : [num_users=1] = placeholder[target=_lifted_tensor_constant89] 2024-06-26T05:16:56.6076895Z %_lifted_tensor_constant90 : [num_users=1] = placeholder[target=_lifted_tensor_constant90] 2024-06-26T05:16:56.6077754Z %_lifted_tensor_constant91 : [num_users=1] = placeholder[target=_lifted_tensor_constant91] 2024-06-26T05:16:56.6078758Z %_lifted_tensor_constant92 : [num_users=1] = placeholder[target=_lifted_tensor_constant92] 2024-06-26T05:16:56.6079633Z %_lifted_tensor_constant93 : [num_users=1] = placeholder[target=_lifted_tensor_constant93] 2024-06-26T05:16:56.6080505Z %_lifted_tensor_constant94 : [num_users=1] = placeholder[target=_lifted_tensor_constant94] 2024-06-26T05:16:56.6081356Z %_lifted_tensor_constant95 : [num_users=1] = placeholder[target=_lifted_tensor_constant95] 2024-06-26T05:16:56.6082220Z %_lifted_tensor_constant96 : [num_users=1] = placeholder[target=_lifted_tensor_constant96] 2024-06-26T05:16:56.6083091Z %_lifted_tensor_constant97 : [num_users=1] = placeholder[target=_lifted_tensor_constant97] 2024-06-26T05:16:56.6083942Z %_lifted_tensor_constant98 : [num_users=1] = placeholder[target=_lifted_tensor_constant98] 2024-06-26T05:16:56.6084812Z %_lifted_tensor_constant99 : [num_users=1] = placeholder[target=_lifted_tensor_constant99] 2024-06-26T05:16:56.6085740Z %_lifted_tensor_constant100 : [num_users=1] = placeholder[target=_lifted_tensor_constant100] 2024-06-26T05:16:56.6086629Z %_lifted_tensor_constant101 : [num_users=1] = placeholder[target=_lifted_tensor_constant101] 2024-06-26T05:16:56.6087523Z %_lifted_tensor_constant102 : [num_users=1] = placeholder[target=_lifted_tensor_constant102] 2024-06-26T05:16:56.6088427Z %_lifted_tensor_constant103 : [num_users=1] = placeholder[target=_lifted_tensor_constant103] 2024-06-26T05:16:56.6089322Z %_lifted_tensor_constant104 : [num_users=1] = placeholder[target=_lifted_tensor_constant104] 2024-06-26T05:16:56.6090202Z %_lifted_tensor_constant105 : [num_users=1] = placeholder[target=_lifted_tensor_constant105] 2024-06-26T05:16:56.6091093Z %_lifted_tensor_constant106 : [num_users=1] = placeholder[target=_lifted_tensor_constant106] 2024-06-26T05:16:56.6092018Z %_lifted_tensor_constant107 : [num_users=1] = placeholder[target=_lifted_tensor_constant107] 2024-06-26T05:16:56.6092896Z %_lifted_tensor_constant108 : [num_users=1] = placeholder[target=_lifted_tensor_constant108] 2024-06-26T05:16:56.6093790Z %_lifted_tensor_constant109 : [num_users=1] = placeholder[target=_lifted_tensor_constant109] 2024-06-26T05:16:56.6094683Z %_lifted_tensor_constant110 : [num_users=1] = placeholder[target=_lifted_tensor_constant110] 2024-06-26T05:16:56.6095575Z %_lifted_tensor_constant111 : [num_users=1] = placeholder[target=_lifted_tensor_constant111] 2024-06-26T05:16:56.6096450Z %_lifted_tensor_constant112 : [num_users=1] = placeholder[target=_lifted_tensor_constant112] 2024-06-26T05:16:56.6097326Z %_lifted_tensor_constant113 : [num_users=1] = placeholder[target=_lifted_tensor_constant113] 2024-06-26T05:16:56.6098214Z %_lifted_tensor_constant114 : [num_users=1] = placeholder[target=_lifted_tensor_constant114] 2024-06-26T05:16:56.6099090Z %_lifted_tensor_constant115 : [num_users=1] = placeholder[target=_lifted_tensor_constant115] 2024-06-26T05:16:56.6100043Z %_lifted_tensor_constant116 : [num_users=1] = placeholder[target=_lifted_tensor_constant116] 2024-06-26T05:16:56.6100928Z %_lifted_tensor_constant117 : [num_users=1] = placeholder[target=_lifted_tensor_constant117] 2024-06-26T05:16:56.6101821Z %_lifted_tensor_constant118 : [num_users=1] = placeholder[target=_lifted_tensor_constant118] 2024-06-26T05:16:56.6102730Z %_lifted_tensor_constant119 : [num_users=1] = placeholder[target=_lifted_tensor_constant119] 2024-06-26T05:16:56.6103620Z %_lifted_tensor_constant120 : [num_users=1] = placeholder[target=_lifted_tensor_constant120] 2024-06-26T05:16:56.6104496Z %_lifted_tensor_constant121 : [num_users=1] = placeholder[target=_lifted_tensor_constant121] 2024-06-26T05:16:56.6105363Z %_lifted_tensor_constant122 : [num_users=1] = placeholder[target=_lifted_tensor_constant122] 2024-06-26T05:16:56.6106293Z %_lifted_tensor_constant123 : [num_users=1] = placeholder[target=_lifted_tensor_constant123] 2024-06-26T05:16:56.6106970Z %x : [num_users=1] = placeholder[target=x] 2024-06-26T05:16:56.6108308Z %aten_convolution_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%x, %p_features_0_0_weight, None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6111049Z %aten__native_batch_norm_legit_no_training_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default, %p_features_0_1_weight, %p_features_0_1_bias, %b_features_0_1_running_mean, %b_features_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6113379Z %getitem : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default, 0), kwargs = {}) 2024-06-26T05:16:56.6115031Z %aten__to_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant68,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6116855Z %aten_add_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem, %aten__to_copy_default), kwargs = {}) 2024-06-26T05:16:56.6118617Z %aten_clamp_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor, 0), kwargs = {}) 2024-06-26T05:16:56.6120280Z %aten_clamp_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default, None, 6), kwargs = {}) 2024-06-26T05:16:56.6121978Z %aten_mul_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem, %aten_clamp_default_1), kwargs = {}) 2024-06-26T05:16:56.6123732Z %aten_div_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor, %_lifted_tensor_constant69), kwargs = {}) 2024-06-26T05:16:56.6125835Z %aten_convolution_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_div_tensor, %p_features_1_block_0_0_weight, None, [2, 2], [1, 1], [1, 1], False, [0, 0], 16), kwargs = {}) 2024-06-26T05:16:56.6128839Z %aten__native_batch_norm_legit_no_training_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_1, %p_features_1_block_0_1_weight, %p_features_1_block_0_1_bias, %b_features_1_block_0_1_running_mean, %b_features_1_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6131326Z %getitem_1 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_1, 0), kwargs = {}) 2024-06-26T05:16:56.6132809Z %aten_relu_default : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%getitem_1,), kwargs = {}) 2024-06-26T05:16:56.6134564Z %aten_mean_dim : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_relu_default, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.6136765Z %aten_convolution_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mean_dim, %p_features_1_block_1_fc1_weight, %p_features_1_block_1_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6138945Z %aten_relu_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_2,), kwargs = {}) 2024-06-26T05:16:56.6141194Z %aten_convolution_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_1, %p_features_1_block_1_fc2_weight, %p_features_1_block_1_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6143557Z %aten__to_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant70,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6145465Z %aten_add_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_convolution_default_3, %aten__to_copy_default_1), kwargs = {}) 2024-06-26T05:16:56.6147239Z %aten_clamp_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_1, 0), kwargs = {}) 2024-06-26T05:16:56.6148929Z %aten_clamp_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_2, None, 6), kwargs = {}) 2024-06-26T05:16:56.6150733Z %aten_div_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_3, %_lifted_tensor_constant71), kwargs = {}) 2024-06-26T05:16:56.6152568Z %aten_mul_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_div_tensor_1, %aten_relu_default), kwargs = {}) 2024-06-26T05:16:56.6154668Z %aten_convolution_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mul_tensor_1, %p_features_1_block_2_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6157709Z %aten__native_batch_norm_legit_no_training_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_4, %p_features_1_block_2_1_weight, %p_features_1_block_2_1_bias, %b_features_1_block_2_1_running_mean, %b_features_1_block_2_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6160282Z %getitem_2 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_2, 0), kwargs = {}) 2024-06-26T05:16:56.6162166Z %aten_convolution_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%getitem_2, %p_features_2_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6165158Z %aten__native_batch_norm_legit_no_training_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_5, %p_features_2_block_0_1_weight, %p_features_2_block_0_1_bias, %b_features_2_block_0_1_running_mean, %b_features_2_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6167662Z %getitem_3 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_3, 0), kwargs = {}) 2024-06-26T05:16:56.6169145Z %aten_relu_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%getitem_3,), kwargs = {}) 2024-06-26T05:16:56.6171144Z %aten_convolution_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_2, %p_features_2_block_1_0_weight, None, [2, 2], [1, 1], [1, 1], False, [0, 0], 72), kwargs = {}) 2024-06-26T05:16:56.6174238Z %aten__native_batch_norm_legit_no_training_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_6, %p_features_2_block_1_1_weight, %p_features_2_block_1_1_bias, %b_features_2_block_1_1_running_mean, %b_features_2_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6176765Z %getitem_4 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_4, 0), kwargs = {}) 2024-06-26T05:16:56.6178245Z %aten_relu_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%getitem_4,), kwargs = {}) 2024-06-26T05:16:56.6180316Z %aten_convolution_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_3, %p_features_2_block_2_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6183333Z %aten__native_batch_norm_legit_no_training_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_7, %p_features_2_block_2_1_weight, %p_features_2_block_2_1_bias, %b_features_2_block_2_1_running_mean, %b_features_2_block_2_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6185845Z %getitem_5 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_5, 0), kwargs = {}) 2024-06-26T05:16:56.6187781Z %aten_convolution_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%getitem_5, %p_features_3_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6190765Z %aten__native_batch_norm_legit_no_training_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_8, %p_features_3_block_0_1_weight, %p_features_3_block_0_1_bias, %b_features_3_block_0_1_running_mean, %b_features_3_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6193257Z %getitem_6 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_6, 0), kwargs = {}) 2024-06-26T05:16:56.6194774Z %aten_relu_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%getitem_6,), kwargs = {}) 2024-06-26T05:16:56.6196773Z %aten_convolution_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_4, %p_features_3_block_1_0_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 88), kwargs = {}) 2024-06-26T05:16:56.6199949Z %aten__native_batch_norm_legit_no_training_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_9, %p_features_3_block_1_1_weight, %p_features_3_block_1_1_bias, %b_features_3_block_1_1_running_mean, %b_features_3_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6202453Z %getitem_7 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_7, 0), kwargs = {}) 2024-06-26T05:16:56.6204043Z %aten_relu_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%getitem_7,), kwargs = {}) 2024-06-26T05:16:56.6206055Z %aten_convolution_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_5, %p_features_3_block_2_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6209141Z %aten__native_batch_norm_legit_no_training_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_10, %p_features_3_block_2_1_weight, %p_features_3_block_2_1_bias, %b_features_3_block_2_1_running_mean, %b_features_3_block_2_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6211735Z %getitem_8 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_8, 0), kwargs = {}) 2024-06-26T05:16:56.6213229Z %aten_add_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_8, %getitem_5), kwargs = {}) 2024-06-26T05:16:56.6215475Z %aten_convolution_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_add_tensor_2, %p_features_4_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6218494Z %aten__native_batch_norm_legit_no_training_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_11, %p_features_4_block_0_1_weight, %p_features_4_block_0_1_bias, %b_features_4_block_0_1_running_mean, %b_features_4_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6221073Z %getitem_9 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_9, 0), kwargs = {}) 2024-06-26T05:16:56.6222808Z %aten__to_copy_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant72,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6224622Z %aten_add_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_9, %aten__to_copy_default_2), kwargs = {}) 2024-06-26T05:16:56.6226314Z %aten_clamp_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_3, 0), kwargs = {}) 2024-06-26T05:16:56.6228012Z %aten_clamp_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_4, None, 6), kwargs = {}) 2024-06-26T05:16:56.6229780Z %aten_mul_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_9, %aten_clamp_default_5), kwargs = {}) 2024-06-26T05:16:56.6231515Z %aten_div_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_2, %_lifted_tensor_constant73), kwargs = {}) 2024-06-26T05:16:56.6233657Z %aten_convolution_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_div_tensor_2, %p_features_4_block_1_0_weight, None, [2, 2], [2, 2], [1, 1], False, [0, 0], 96), kwargs = {}) 2024-06-26T05:16:56.6236681Z %aten__native_batch_norm_legit_no_training_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_12, %p_features_4_block_1_1_weight, %p_features_4_block_1_1_bias, %b_features_4_block_1_1_running_mean, %b_features_4_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6239269Z %getitem_10 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_10, 0), kwargs = {}) 2024-06-26T05:16:56.6240960Z %aten__to_copy_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant74,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6242846Z %aten_add_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_10, %aten__to_copy_default_3), kwargs = {}) 2024-06-26T05:16:56.6244523Z %aten_clamp_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_4, 0), kwargs = {}) 2024-06-26T05:16:56.6246220Z %aten_clamp_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_6, None, 6), kwargs = {}) 2024-06-26T05:16:56.6247979Z %aten_mul_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_10, %aten_clamp_default_7), kwargs = {}) 2024-06-26T05:16:56.6249733Z %aten_div_tensor_3 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_3, %_lifted_tensor_constant75), kwargs = {}) 2024-06-26T05:16:56.6251615Z %aten_mean_dim_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_div_tensor_3, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.6253797Z %aten_convolution_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mean_dim_1, %p_features_4_block_2_fc1_weight, %p_features_4_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6256081Z %aten_relu_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_13,), kwargs = {}) 2024-06-26T05:16:56.6258342Z %aten_convolution_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_6, %p_features_4_block_2_fc2_weight, %p_features_4_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6260736Z %aten__to_copy_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant76,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6262624Z %aten_add_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_convolution_default_14, %aten__to_copy_default_4), kwargs = {}) 2024-06-26T05:16:56.6264403Z %aten_clamp_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_5, 0), kwargs = {}) 2024-06-26T05:16:56.6266274Z %aten_clamp_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_8, None, 6), kwargs = {}) 2024-06-26T05:16:56.6268063Z %aten_div_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_9, %_lifted_tensor_constant77), kwargs = {}) 2024-06-26T05:16:56.6269840Z %aten_mul_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_div_tensor_4, %aten_div_tensor_3), kwargs = {}) 2024-06-26T05:16:56.6271926Z %aten_convolution_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mul_tensor_4, %p_features_4_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6274948Z %aten__native_batch_norm_legit_no_training_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_15, %p_features_4_block_3_1_weight, %p_features_4_block_3_1_bias, %b_features_4_block_3_1_running_mean, %b_features_4_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6277473Z %getitem_11 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_11, 0), kwargs = {}) 2024-06-26T05:16:56.6279646Z %aten_convolution_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%getitem_11, %p_features_5_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6282659Z %aten__native_batch_norm_legit_no_training_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_16, %p_features_5_block_0_1_weight, %p_features_5_block_0_1_bias, %b_features_5_block_0_1_running_mean, %b_features_5_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6285195Z %getitem_12 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_12, 0), kwargs = {}) 2024-06-26T05:16:56.6286881Z %aten__to_copy_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant78,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6288712Z %aten_add_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_12, %aten__to_copy_default_5), kwargs = {}) 2024-06-26T05:16:56.6290414Z %aten_clamp_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_6, 0), kwargs = {}) 2024-06-26T05:16:56.6292129Z %aten_clamp_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_10, None, 6), kwargs = {}) 2024-06-26T05:16:56.6293886Z %aten_mul_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_12, %aten_clamp_default_11), kwargs = {}) 2024-06-26T05:16:56.6295649Z %aten_div_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_5, %_lifted_tensor_constant79), kwargs = {}) 2024-06-26T05:16:56.6297789Z %aten_convolution_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_div_tensor_5, %p_features_5_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], False, [0, 0], 240), kwargs = {}) 2024-06-26T05:16:56.6300946Z %aten__native_batch_norm_legit_no_training_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_17, %p_features_5_block_1_1_weight, %p_features_5_block_1_1_bias, %b_features_5_block_1_1_running_mean, %b_features_5_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6303477Z %getitem_13 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_13, 0), kwargs = {}) 2024-06-26T05:16:56.6305151Z %aten__to_copy_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant80,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6306970Z %aten_add_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_13, %aten__to_copy_default_6), kwargs = {}) 2024-06-26T05:16:56.6308665Z %aten_clamp_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_7, 0), kwargs = {}) 2024-06-26T05:16:56.6310382Z %aten_clamp_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_12, None, 6), kwargs = {}) 2024-06-26T05:16:56.6312202Z %aten_mul_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_13, %aten_clamp_default_13), kwargs = {}) 2024-06-26T05:16:56.6314017Z %aten_div_tensor_6 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_6, %_lifted_tensor_constant81), kwargs = {}) 2024-06-26T05:16:56.6315895Z %aten_mean_dim_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_div_tensor_6, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.6318137Z %aten_convolution_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mean_dim_2, %p_features_5_block_2_fc1_weight, %p_features_5_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6320375Z %aten_relu_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_18,), kwargs = {}) 2024-06-26T05:16:56.6322580Z %aten_convolution_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_7, %p_features_5_block_2_fc2_weight, %p_features_5_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6324898Z %aten__to_copy_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant82,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6326805Z %aten_add_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_convolution_default_19, %aten__to_copy_default_7), kwargs = {}) 2024-06-26T05:16:56.6328585Z %aten_clamp_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_8, 0), kwargs = {}) 2024-06-26T05:16:56.6330336Z %aten_clamp_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_14, None, 6), kwargs = {}) 2024-06-26T05:16:56.6332121Z %aten_div_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_15, %_lifted_tensor_constant83), kwargs = {}) 2024-06-26T05:16:56.6333907Z %aten_mul_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_div_tensor_7, %aten_div_tensor_6), kwargs = {}) 2024-06-26T05:16:56.6336036Z %aten_convolution_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mul_tensor_7, %p_features_5_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6339068Z %aten__native_batch_norm_legit_no_training_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_20, %p_features_5_block_3_1_weight, %p_features_5_block_3_1_bias, %b_features_5_block_3_1_running_mean, %b_features_5_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6341663Z %getitem_14 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_14, 0), kwargs = {}) 2024-06-26T05:16:56.6343179Z %aten_add_tensor_9 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_14, %getitem_11), kwargs = {}) 2024-06-26T05:16:56.6345216Z %aten_convolution_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_add_tensor_9, %p_features_6_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6348288Z %aten__native_batch_norm_legit_no_training_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_21, %p_features_6_block_0_1_weight, %p_features_6_block_0_1_bias, %b_features_6_block_0_1_running_mean, %b_features_6_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6350797Z %getitem_15 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_15, 0), kwargs = {}) 2024-06-26T05:16:56.6352493Z %aten__to_copy_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant84,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6354348Z %aten_add_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_15, %aten__to_copy_default_8), kwargs = {}) 2024-06-26T05:16:56.6356066Z %aten_clamp_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_10, 0), kwargs = {}) 2024-06-26T05:16:56.6357785Z %aten_clamp_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_16, None, 6), kwargs = {}) 2024-06-26T05:16:56.6359579Z %aten_mul_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_15, %aten_clamp_default_17), kwargs = {}) 2024-06-26T05:16:56.6361330Z %aten_div_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_8, %_lifted_tensor_constant85), kwargs = {}) 2024-06-26T05:16:56.6363452Z %aten_convolution_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_div_tensor_8, %p_features_6_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], False, [0, 0], 240), kwargs = {}) 2024-06-26T05:16:56.6366541Z %aten__native_batch_norm_legit_no_training_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_22, %p_features_6_block_1_1_weight, %p_features_6_block_1_1_bias, %b_features_6_block_1_1_running_mean, %b_features_6_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6369055Z %getitem_16 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_16, 0), kwargs = {}) 2024-06-26T05:16:56.6370775Z %aten__to_copy_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant86,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6372618Z %aten_add_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_16, %aten__to_copy_default_9), kwargs = {}) 2024-06-26T05:16:56.6374313Z %aten_clamp_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_11, 0), kwargs = {}) 2024-06-26T05:16:56.6376024Z %aten_clamp_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_18, None, 6), kwargs = {}) 2024-06-26T05:16:56.6377752Z %aten_mul_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_16, %aten_clamp_default_19), kwargs = {}) 2024-06-26T05:16:56.6379519Z %aten_div_tensor_9 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_9, %_lifted_tensor_constant87), kwargs = {}) 2024-06-26T05:16:56.6381463Z %aten_mean_dim_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_div_tensor_9, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.6383636Z %aten_convolution_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mean_dim_3, %p_features_6_block_2_fc1_weight, %p_features_6_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6385860Z %aten_relu_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_23,), kwargs = {}) 2024-06-26T05:16:56.6388080Z %aten_convolution_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_8, %p_features_6_block_2_fc2_weight, %p_features_6_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6390435Z %aten__to_copy_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant88,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6392345Z %aten_add_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_convolution_default_24, %aten__to_copy_default_10), kwargs = {}) 2024-06-26T05:16:56.6394136Z %aten_clamp_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_12, 0), kwargs = {}) 2024-06-26T05:16:56.6395850Z %aten_clamp_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_20, None, 6), kwargs = {}) 2024-06-26T05:16:56.6397666Z %aten_div_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_21, %_lifted_tensor_constant89), kwargs = {}) 2024-06-26T05:16:56.6399572Z %aten_mul_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_div_tensor_10, %aten_div_tensor_9), kwargs = {}) 2024-06-26T05:16:56.6401666Z %aten_convolution_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mul_tensor_10, %p_features_6_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6404701Z %aten__native_batch_norm_legit_no_training_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_25, %p_features_6_block_3_1_weight, %p_features_6_block_3_1_bias, %b_features_6_block_3_1_running_mean, %b_features_6_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6407266Z %getitem_17 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_17, 0), kwargs = {}) 2024-06-26T05:16:56.6408829Z %aten_add_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_17, %aten_add_tensor_9), kwargs = {}) 2024-06-26T05:16:56.6410899Z %aten_convolution_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_add_tensor_13, %p_features_7_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6413905Z %aten__native_batch_norm_legit_no_training_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_26, %p_features_7_block_0_1_weight, %p_features_7_block_0_1_bias, %b_features_7_block_0_1_running_mean, %b_features_7_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6416429Z %getitem_18 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_18, 0), kwargs = {}) 2024-06-26T05:16:56.6418129Z %aten__to_copy_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant90,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6420070Z %aten_add_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_18, %aten__to_copy_default_11), kwargs = {}) 2024-06-26T05:16:56.6421787Z %aten_clamp_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_14, 0), kwargs = {}) 2024-06-26T05:16:56.6423493Z %aten_clamp_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_22, None, 6), kwargs = {}) 2024-06-26T05:16:56.6425272Z %aten_mul_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_18, %aten_clamp_default_23), kwargs = {}) 2024-06-26T05:16:56.6427048Z %aten_div_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_11, %_lifted_tensor_constant91), kwargs = {}) 2024-06-26T05:16:56.6429201Z %aten_convolution_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_div_tensor_11, %p_features_7_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], False, [0, 0], 120), kwargs = {}) 2024-06-26T05:16:56.6432242Z %aten__native_batch_norm_legit_no_training_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_27, %p_features_7_block_1_1_weight, %p_features_7_block_1_1_bias, %b_features_7_block_1_1_running_mean, %b_features_7_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6434811Z %getitem_19 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_19, 0), kwargs = {}) 2024-06-26T05:16:56.6436493Z %aten__to_copy_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant92,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6438396Z %aten_add_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_19, %aten__to_copy_default_12), kwargs = {}) 2024-06-26T05:16:56.6440112Z %aten_clamp_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_15, 0), kwargs = {}) 2024-06-26T05:16:56.6441897Z %aten_clamp_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_24, None, 6), kwargs = {}) 2024-06-26T05:16:56.6443620Z %aten_mul_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_19, %aten_clamp_default_25), kwargs = {}) 2024-06-26T05:16:56.6445381Z %aten_div_tensor_12 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_12, %_lifted_tensor_constant93), kwargs = {}) 2024-06-26T05:16:56.6447272Z %aten_mean_dim_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_div_tensor_12, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.6448542Z %aten_convolution_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mean_dim_4, %p_features_7_block_2_fc1_weight, %p_features_7_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6449341Z %aten_relu_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_28,), kwargs = {}) 2024-06-26T05:16:56.6450623Z %aten_convolution_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_9, %p_features_7_block_2_fc2_weight, %p_features_7_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6451565Z %aten__to_copy_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant94,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6452437Z %aten_add_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_convolution_default_29, %aten__to_copy_default_13), kwargs = {}) 2024-06-26T05:16:56.6453243Z %aten_clamp_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_16, 0), kwargs = {}) 2024-06-26T05:16:56.6454048Z %aten_clamp_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_26, None, 6), kwargs = {}) 2024-06-26T05:16:56.6454894Z %aten_div_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_27, %_lifted_tensor_constant95), kwargs = {}) 2024-06-26T05:16:56.6455709Z %aten_mul_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_div_tensor_13, %aten_div_tensor_12), kwargs = {}) 2024-06-26T05:16:56.6456854Z %aten_convolution_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mul_tensor_13, %p_features_7_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6458596Z %aten__native_batch_norm_legit_no_training_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_30, %p_features_7_block_3_1_weight, %p_features_7_block_3_1_bias, %b_features_7_block_3_1_running_mean, %b_features_7_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6459283Z %getitem_20 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_20, 0), kwargs = {}) 2024-06-26T05:16:56.6460492Z %aten_convolution_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%getitem_20, %p_features_8_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6462250Z %aten__native_batch_norm_legit_no_training_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_31, %p_features_8_block_0_1_weight, %p_features_8_block_0_1_bias, %b_features_8_block_0_1_running_mean, %b_features_8_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6462910Z %getitem_21 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_21, 0), kwargs = {}) 2024-06-26T05:16:56.6463800Z %aten__to_copy_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant96,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6464594Z %aten_add_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_21, %aten__to_copy_default_14), kwargs = {}) 2024-06-26T05:16:56.6465363Z %aten_clamp_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_17, 0), kwargs = {}) 2024-06-26T05:16:56.6466168Z %aten_clamp_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_28, None, 6), kwargs = {}) 2024-06-26T05:16:56.6466959Z %aten_mul_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_21, %aten_clamp_default_29), kwargs = {}) 2024-06-26T05:16:56.6467826Z %aten_div_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_14, %_lifted_tensor_constant97), kwargs = {}) 2024-06-26T05:16:56.6468994Z %aten_convolution_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_div_tensor_14, %p_features_8_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], False, [0, 0], 144), kwargs = {}) 2024-06-26T05:16:56.6470757Z %aten__native_batch_norm_legit_no_training_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_32, %p_features_8_block_1_1_weight, %p_features_8_block_1_1_bias, %b_features_8_block_1_1_running_mean, %b_features_8_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6471405Z %getitem_22 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_22, 0), kwargs = {}) 2024-06-26T05:16:56.6472305Z %aten__to_copy_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant98,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6473099Z %aten_add_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_22, %aten__to_copy_default_15), kwargs = {}) 2024-06-26T05:16:56.6473875Z %aten_clamp_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_18, 0), kwargs = {}) 2024-06-26T05:16:56.6474707Z %aten_clamp_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_30, None, 6), kwargs = {}) 2024-06-26T05:16:56.6475504Z %aten_mul_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_22, %aten_clamp_default_31), kwargs = {}) 2024-06-26T05:16:56.6476336Z %aten_div_tensor_15 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_15, %_lifted_tensor_constant99), kwargs = {}) 2024-06-26T05:16:56.6477222Z %aten_mean_dim_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_div_tensor_15, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.6478608Z %aten_convolution_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mean_dim_5, %p_features_8_block_2_fc1_weight, %p_features_8_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6479397Z %aten_relu_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_33,), kwargs = {}) 2024-06-26T05:16:56.6480698Z %aten_convolution_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_10, %p_features_8_block_2_fc2_weight, %p_features_8_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6481591Z %aten__to_copy_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant100,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6482488Z %aten_add_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_convolution_default_34, %aten__to_copy_default_16), kwargs = {}) 2024-06-26T05:16:56.6483245Z %aten_clamp_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_19, 0), kwargs = {}) 2024-06-26T05:16:56.6484078Z %aten_clamp_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_32, None, 6), kwargs = {}) 2024-06-26T05:16:56.6484950Z %aten_div_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_33, %_lifted_tensor_constant101), kwargs = {}) 2024-06-26T05:16:56.6485746Z %aten_mul_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_div_tensor_16, %aten_div_tensor_15), kwargs = {}) 2024-06-26T05:16:56.6486948Z %aten_convolution_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mul_tensor_16, %p_features_8_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6488653Z %aten__native_batch_norm_legit_no_training_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_35, %p_features_8_block_3_1_weight, %p_features_8_block_3_1_bias, %b_features_8_block_3_1_running_mean, %b_features_8_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6489308Z %getitem_23 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_23, 0), kwargs = {}) 2024-06-26T05:16:56.6490035Z %aten_add_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_23, %getitem_20), kwargs = {}) 2024-06-26T05:16:56.6491224Z %aten_convolution_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_add_tensor_20, %p_features_9_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6492944Z %aten__native_batch_norm_legit_no_training_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_36, %p_features_9_block_0_1_weight, %p_features_9_block_0_1_bias, %b_features_9_block_0_1_running_mean, %b_features_9_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6493586Z %getitem_24 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_24, 0), kwargs = {}) 2024-06-26T05:16:56.6494526Z %aten__to_copy_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant102,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6495325Z %aten_add_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_24, %aten__to_copy_default_17), kwargs = {}) 2024-06-26T05:16:56.6496091Z %aten_clamp_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_21, 0), kwargs = {}) 2024-06-26T05:16:56.6496894Z %aten_clamp_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_34, None, 6), kwargs = {}) 2024-06-26T05:16:56.6497682Z %aten_mul_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_24, %aten_clamp_default_35), kwargs = {}) 2024-06-26T05:16:56.6498530Z %aten_div_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_17, %_lifted_tensor_constant103), kwargs = {}) 2024-06-26T05:16:56.6499679Z %aten_convolution_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_div_tensor_17, %p_features_9_block_1_0_weight, None, [2, 2], [2, 2], [1, 1], False, [0, 0], 288), kwargs = {}) 2024-06-26T05:16:56.6501532Z %aten__native_batch_norm_legit_no_training_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_37, %p_features_9_block_1_1_weight, %p_features_9_block_1_1_bias, %b_features_9_block_1_1_running_mean, %b_features_9_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6502181Z %getitem_25 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_25, 0), kwargs = {}) 2024-06-26T05:16:56.6503121Z %aten__to_copy_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant104,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6503916Z %aten_add_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_25, %aten__to_copy_default_18), kwargs = {}) 2024-06-26T05:16:56.6504690Z %aten_clamp_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_22, 0), kwargs = {}) 2024-06-26T05:16:56.6505486Z %aten_clamp_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_36, None, 6), kwargs = {}) 2024-06-26T05:16:56.6506263Z %aten_mul_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_25, %aten_clamp_default_37), kwargs = {}) 2024-06-26T05:16:56.6507121Z %aten_div_tensor_18 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_18, %_lifted_tensor_constant105), kwargs = {}) 2024-06-26T05:16:56.6508040Z %aten_mean_dim_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_div_tensor_18, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.6509309Z %aten_convolution_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mean_dim_6, %p_features_9_block_2_fc1_weight, %p_features_9_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6510088Z %aten_relu_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_38,), kwargs = {}) 2024-06-26T05:16:56.6511409Z %aten_convolution_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_11, %p_features_9_block_2_fc2_weight, %p_features_9_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6512309Z %aten__to_copy_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant106,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6513183Z %aten_add_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_convolution_default_39, %aten__to_copy_default_19), kwargs = {}) 2024-06-26T05:16:56.6513954Z %aten_clamp_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_23, 0), kwargs = {}) 2024-06-26T05:16:56.6514756Z %aten_clamp_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_38, None, 6), kwargs = {}) 2024-06-26T05:16:56.6515629Z %aten_div_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_39, %_lifted_tensor_constant107), kwargs = {}) 2024-06-26T05:16:56.6516428Z %aten_mul_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_div_tensor_19, %aten_div_tensor_18), kwargs = {}) 2024-06-26T05:16:56.6517626Z %aten_convolution_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mul_tensor_19, %p_features_9_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6519419Z %aten__native_batch_norm_legit_no_training_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_40, %p_features_9_block_3_1_weight, %p_features_9_block_3_1_bias, %b_features_9_block_3_1_running_mean, %b_features_9_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6520126Z %getitem_26 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_26, 0), kwargs = {}) 2024-06-26T05:16:56.6521251Z %aten_convolution_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%getitem_26, %p_features_10_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6522985Z %aten__native_batch_norm_legit_no_training_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_41, %p_features_10_block_0_1_weight, %p_features_10_block_0_1_bias, %b_features_10_block_0_1_running_mean, %b_features_10_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6523643Z %getitem_27 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_27, 0), kwargs = {}) 2024-06-26T05:16:56.6524572Z %aten__to_copy_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant108,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6525383Z %aten_add_tensor_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_27, %aten__to_copy_default_20), kwargs = {}) 2024-06-26T05:16:56.6526128Z %aten_clamp_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_24, 0), kwargs = {}) 2024-06-26T05:16:56.6526938Z %aten_clamp_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_40, None, 6), kwargs = {}) 2024-06-26T05:16:56.6527756Z %aten_mul_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_27, %aten_clamp_default_41), kwargs = {}) 2024-06-26T05:16:56.6528604Z %aten_div_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_20, %_lifted_tensor_constant109), kwargs = {}) 2024-06-26T05:16:56.6529776Z %aten_convolution_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_div_tensor_20, %p_features_10_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], False, [0, 0], 576), kwargs = {}) 2024-06-26T05:16:56.6531527Z %aten__native_batch_norm_legit_no_training_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_42, %p_features_10_block_1_1_weight, %p_features_10_block_1_1_bias, %b_features_10_block_1_1_running_mean, %b_features_10_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6532191Z %getitem_28 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_28, 0), kwargs = {}) 2024-06-26T05:16:56.6533081Z %aten__to_copy_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant110,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6533922Z %aten_add_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_28, %aten__to_copy_default_21), kwargs = {}) 2024-06-26T05:16:56.6534680Z %aten_clamp_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_25, 0), kwargs = {}) 2024-06-26T05:16:56.6535520Z %aten_clamp_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_42, None, 6), kwargs = {}) 2024-06-26T05:16:56.6536313Z %aten_mul_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_28, %aten_clamp_default_43), kwargs = {}) 2024-06-26T05:16:56.6537149Z %aten_div_tensor_21 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_21, %_lifted_tensor_constant111), kwargs = {}) 2024-06-26T05:16:56.6538037Z %aten_mean_dim_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_div_tensor_21, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.6539307Z %aten_convolution_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mean_dim_7, %p_features_10_block_2_fc1_weight, %p_features_10_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6540183Z %aten_relu_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_43,), kwargs = {}) 2024-06-26T05:16:56.6541517Z %aten_convolution_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_12, %p_features_10_block_2_fc2_weight, %p_features_10_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6542421Z %aten__to_copy_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant112,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6543296Z %aten_add_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_convolution_default_44, %aten__to_copy_default_22), kwargs = {}) 2024-06-26T05:16:56.6544083Z %aten_clamp_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_26, 0), kwargs = {}) 2024-06-26T05:16:56.6544901Z %aten_clamp_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_44, None, 6), kwargs = {}) 2024-06-26T05:16:56.6545755Z %aten_div_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_45, %_lifted_tensor_constant113), kwargs = {}) 2024-06-26T05:16:56.6546568Z %aten_mul_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_div_tensor_22, %aten_div_tensor_21), kwargs = {}) 2024-06-26T05:16:56.6547725Z %aten_convolution_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mul_tensor_22, %p_features_10_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6549486Z %aten__native_batch_norm_legit_no_training_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_45, %p_features_10_block_3_1_weight, %p_features_10_block_3_1_bias, %b_features_10_block_3_1_running_mean, %b_features_10_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6550165Z %getitem_29 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_29, 0), kwargs = {}) 2024-06-26T05:16:56.6550900Z %aten_add_tensor_27 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_29, %getitem_26), kwargs = {}) 2024-06-26T05:16:56.6552055Z %aten_convolution_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_add_tensor_27, %p_features_11_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6553834Z %aten__native_batch_norm_legit_no_training_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_46, %p_features_11_block_0_1_weight, %p_features_11_block_0_1_bias, %b_features_11_block_0_1_running_mean, %b_features_11_block_0_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6554493Z %getitem_30 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_30, 0), kwargs = {}) 2024-06-26T05:16:56.6555385Z %aten__to_copy_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant114,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6556195Z %aten_add_tensor_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_30, %aten__to_copy_default_23), kwargs = {}) 2024-06-26T05:16:56.6556990Z %aten_clamp_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_28, 0), kwargs = {}) 2024-06-26T05:16:56.6557788Z %aten_clamp_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_46, None, 6), kwargs = {}) 2024-06-26T05:16:56.6558646Z %aten_mul_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_30, %aten_clamp_default_47), kwargs = {}) 2024-06-26T05:16:56.6559486Z %aten_div_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_23, %_lifted_tensor_constant115), kwargs = {}) 2024-06-26T05:16:56.6560697Z %aten_convolution_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_div_tensor_23, %p_features_11_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], False, [0, 0], 576), kwargs = {}) 2024-06-26T05:16:56.6562444Z %aten__native_batch_norm_legit_no_training_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_47, %p_features_11_block_1_1_weight, %p_features_11_block_1_1_bias, %b_features_11_block_1_1_running_mean, %b_features_11_block_1_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6563105Z %getitem_31 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_31, 0), kwargs = {}) 2024-06-26T05:16:56.6563994Z %aten__to_copy_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant116,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6564808Z %aten_add_tensor_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_31, %aten__to_copy_default_24), kwargs = {}) 2024-06-26T05:16:56.6565569Z %aten_clamp_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_29, 0), kwargs = {}) 2024-06-26T05:16:56.6566403Z %aten_clamp_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_48, None, 6), kwargs = {}) 2024-06-26T05:16:56.6567196Z %aten_mul_tensor_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_31, %aten_clamp_default_49), kwargs = {}) 2024-06-26T05:16:56.6568031Z %aten_div_tensor_24 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_24, %_lifted_tensor_constant117), kwargs = {}) 2024-06-26T05:16:56.6568962Z %aten_mean_dim_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_div_tensor_24, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.6570233Z %aten_convolution_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mean_dim_8, %p_features_11_block_2_fc1_weight, %p_features_11_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6571030Z %aten_relu_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_48,), kwargs = {}) 2024-06-26T05:16:56.6572331Z %aten_convolution_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_13, %p_features_11_block_2_fc2_weight, %p_features_11_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6573230Z %aten__to_copy_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant118,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6574179Z %aten_add_tensor_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_convolution_default_49, %aten__to_copy_default_25), kwargs = {}) 2024-06-26T05:16:56.6574942Z %aten_clamp_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_30, 0), kwargs = {}) 2024-06-26T05:16:56.6575752Z %aten_clamp_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_50, None, 6), kwargs = {}) 2024-06-26T05:16:56.6576648Z %aten_div_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_51, %_lifted_tensor_constant119), kwargs = {}) 2024-06-26T05:16:56.6577476Z %aten_mul_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_div_tensor_25, %aten_div_tensor_24), kwargs = {}) 2024-06-26T05:16:56.6578631Z %aten_convolution_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_mul_tensor_25, %p_features_11_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6580449Z %aten__native_batch_norm_legit_no_training_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_50, %p_features_11_block_3_1_weight, %p_features_11_block_3_1_bias, %b_features_11_block_3_1_running_mean, %b_features_11_block_3_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6581124Z %getitem_32 : [num_users=1] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_32, 0), kwargs = {}) 2024-06-26T05:16:56.6581893Z %aten_add_tensor_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_32, %aten_add_tensor_27), kwargs = {}) 2024-06-26T05:16:56.6583060Z %aten_convolution_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_add_tensor_31, %p_features_12_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:16:56.6584664Z %aten__native_batch_norm_legit_no_training_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._native_batch_norm_legit_no_training.default](args = (%aten_convolution_default_51, %p_features_12_1_weight, %p_features_12_1_bias, %b_features_12_1_running_mean, %b_features_12_1_running_var, 0.01, 0.001), kwargs = {}) 2024-06-26T05:16:56.6585359Z %getitem_33 : [num_users=2] = call_function[target=operator.getitem](args = (%aten__native_batch_norm_legit_no_training_default_33, 0), kwargs = {}) 2024-06-26T05:16:56.6586256Z %aten__to_copy_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant120,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6587068Z %aten_add_tensor_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%getitem_33, %aten__to_copy_default_26), kwargs = {}) 2024-06-26T05:16:56.6587818Z %aten_clamp_default_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_32, 0), kwargs = {}) 2024-06-26T05:16:56.6588621Z %aten_clamp_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_52, None, 6), kwargs = {}) 2024-06-26T05:16:56.6589420Z %aten_mul_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%getitem_33, %aten_clamp_default_53), kwargs = {}) 2024-06-26T05:16:56.6590294Z %aten_div_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_26, %_lifted_tensor_constant121), kwargs = {}) 2024-06-26T05:16:56.6591188Z %aten_mean_dim_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_div_tensor_26, [-1, -2], True), kwargs = {}) 2024-06-26T05:16:56.6591983Z %aten_view_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mean_dim_9, [1, 576]), kwargs = {}) 2024-06-26T05:16:56.6592833Z %aten_permute_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%p_classifier_0_weight, [1, 0]), kwargs = {}) 2024-06-26T05:16:56.6593871Z %aten_addmm_default : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.addmm.default](args = (%p_classifier_0_bias, %aten_view_copy_default, %aten_permute_copy_default), kwargs = {}) 2024-06-26T05:16:56.6594768Z %aten__to_copy_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant122,), kwargs = {dtype: torch.float32}) 2024-06-26T05:16:56.6595619Z %aten_add_tensor_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_addmm_default, %aten__to_copy_default_27), kwargs = {}) 2024-06-26T05:16:56.6596377Z %aten_clamp_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_33, 0), kwargs = {}) 2024-06-26T05:16:56.6597192Z %aten_clamp_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_54, None, 6), kwargs = {}) 2024-06-26T05:16:56.6598081Z %aten_mul_tensor_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_addmm_default, %aten_clamp_default_55), kwargs = {}) 2024-06-26T05:16:56.6598918Z %aten_div_tensor_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_27, %_lifted_tensor_constant123), kwargs = {}) 2024-06-26T05:16:56.6599818Z %aten_permute_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%p_classifier_3_weight, [1, 0]), kwargs = {}) 2024-06-26T05:16:56.6600796Z %aten_addmm_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.addmm.default](args = (%p_classifier_3_bias, %aten_div_tensor_27, %aten_permute_copy_default_1), kwargs = {}) 2024-06-26T05:16:56.6600971Z return (aten_addmm_default_1,) 2024-06-26T05:16:58.7607127Z INFO:executorch.backends.xnnpack.partition.xnnpack_partitioner:Found 2 subgraphs to be partitioned. 2024-06-26T05:17:03.6181980Z INFO:root:Lowered graph: 2024-06-26T05:17:03.6182691Z graph(): 2024-06-26T05:17:03.6183134Z %x : [num_users=1] = placeholder[target=x] 2024-06-26T05:17:03.6183725Z %lowered_module_0 : [num_users=1] = get_attr[target=lowered_module_0] 2024-06-26T05:17:03.6184899Z %executorch_call_delegate : [num_users=1] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_0, %x), kwargs = {}) 2024-06-26T05:17:03.6186306Z %getitem : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 0), kwargs = {}) 2024-06-26T05:17:03.6187738Z %aten_view_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%getitem, [1, 576]), kwargs = {}) 2024-06-26T05:17:03.6188917Z %lowered_module_1 : [num_users=1] = get_attr[target=lowered_module_1] 2024-06-26T05:17:03.6190177Z %executorch_call_delegate_1 : [num_users=1] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_1, %aten_view_copy_default), kwargs = {}) 2024-06-26T05:17:03.6191929Z %getitem_1 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_1, 0), kwargs = {}) 2024-06-26T05:17:03.6192711Z return (getitem_1,) 2024-06-26T05:17:07.0528249Z INFO:root:Saved exported program to ./mv3_xnnpack_fp32.pte 2024-06-26T05:17:07.9106739Z ++ OUTPUT_MODEL_PATH=mv3_xnnpack_fp32.pte 2024-06-26T05:17:07.9107533Z ++ [[ cmake == \b\u\c\k\2 ]] 2024-06-26T05:17:07.9107887Z ++ [[ cmake == \c\m\a\k\e ]] 2024-06-26T05:17:07.9108474Z ++ [[ ! -f cmake-out/backends/xnnpack/xnn_executor_runner ]] 2024-06-26T05:17:07.9108971Z ++ build_cmake_xnn_executor_runner 2024-06-26T05:17:07.9109438Z ++ echo 'Building xnn_executor_runner' 2024-06-26T05:17:07.9109877Z Building xnn_executor_runner 2024-06-26T05:17:07.9110756Z +++ python -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())' 2024-06-26T05:17:08.0361119Z ++ SITE_PACKAGES=/opt/conda/envs/py_3.10/lib/python3.10/site-packages 2024-06-26T05:17:08.0362011Z ++ CMAKE_PREFIX_PATH=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2024-06-26T05:17:08.0362880Z ++ rm -rf cmake-out 2024-06-26T05:17:08.0747406Z ++ mkdir cmake-out 2024-06-26T05:17:08.0758939Z ++ cd cmake-out 2024-06-26T05:17:08.0760942Z ++ retry cmake -DCMAKE_BUILD_TYPE=Release -DEXECUTORCH_BUILD_XNNPACK=ON -DCMAKE_PREFIX_PATH=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch -DPYTHON_EXECUTABLE=python .. 2024-06-26T05:17:08.0764610Z ++ cmake -DCMAKE_BUILD_TYPE=Release -DEXECUTORCH_BUILD_XNNPACK=ON -DCMAKE_PREFIX_PATH=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch -DPYTHON_EXECUTABLE=python .. 2024-06-26T05:17:08.1521769Z -- The C compiler identification is Clang 12.0.1 2024-06-26T05:17:08.2559350Z -- The CXX compiler identification is Clang 12.0.1 2024-06-26T05:17:08.2613504Z -- Detecting C compiler ABI info 2024-06-26T05:17:08.3792194Z -- Detecting C compiler ABI info - done 2024-06-26T05:17:08.3852814Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2024-06-26T05:17:08.3855068Z -- Detecting C compile features 2024-06-26T05:17:08.3859111Z -- Detecting C compile features - done 2024-06-26T05:17:08.3890844Z -- Detecting CXX compiler ABI info 2024-06-26T05:17:08.5310971Z -- Detecting CXX compiler ABI info - done 2024-06-26T05:17:08.5376579Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2024-06-26T05:17:08.5379079Z -- Detecting CXX compile features 2024-06-26T05:17:08.5383792Z -- Detecting CXX compile features - done 2024-06-26T05:17:08.5432589Z -- Looking for pthread.h 2024-06-26T05:17:08.6807951Z -- Looking for pthread.h - found 2024-06-26T05:17:08.6808593Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2024-06-26T05:17:08.8618638Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2024-06-26T05:17:08.8626528Z -- Found Threads: TRUE 2024-06-26T05:17:08.8663825Z -- Downloading FXdiv to /executorch/cmake-out/FXdiv-source (define FXDIV_SOURCE_DIR to avoid it) 2024-06-26T05:17:08.8924579Z -- Configuring done 2024-06-26T05:17:08.8941606Z -- Generating done 2024-06-26T05:17:08.8958185Z -- Build files have been written to: /executorch/cmake-out/FXdiv-download 2024-06-26T05:17:08.9256661Z [ 11%] Creating directories for 'fxdiv' 2024-06-26T05:17:08.9635025Z [ 22%] Performing download step (git clone) for 'fxdiv' 2024-06-26T05:17:08.9739460Z Cloning into 'FXdiv-source'... 2024-06-26T05:17:09.3626974Z Already on 'master' 2024-06-26T05:17:09.3627497Z Your branch is up to date with 'origin/master'. 2024-06-26T05:17:09.3977974Z [ 33%] Performing update step for 'fxdiv' 2024-06-26T05:17:09.6254734Z HEAD is now at 63058ef Export LICENSE file in Bazel build 2024-06-26T05:17:09.6507746Z [ 44%] No patch step for 'fxdiv' 2024-06-26T05:17:09.6640877Z [ 55%] No configure step for 'fxdiv' 2024-06-26T05:17:09.6788919Z [ 66%] No build step for 'fxdiv' 2024-06-26T05:17:09.6935065Z [ 77%] No install step for 'fxdiv' 2024-06-26T05:17:09.7078419Z [ 88%] No test step for 'fxdiv' 2024-06-26T05:17:09.7219630Z [100%] Completed 'fxdiv' 2024-06-26T05:17:09.7460564Z [100%] Built target fxdiv 2024-06-26T05:17:09.7560062Z -- Using python executable 'python' 2024-06-26T05:17:09.8323339Z -- Resolved buck2 as buck2. 2024-06-26T05:17:09.8323800Z -- Killing buck2 daemon 2024-06-26T05:17:09.8331927Z -- executorch: Generating source lists 2024-06-26T05:17:09.8332711Z -- executorch: Generating source file list /executorch/cmake-out/executorch_srcs.cmake 2024-06-26T05:17:11.1939449Z -- executorch: Using sources file /executorch/cmake-out/executorch_srcs.cmake 2024-06-26T05:17:11.1977388Z -- Proceeding with version: 24.3.25.0 2024-06-26T05:17:11.1986052Z -- Looking for strtof_l 2024-06-26T05:17:11.3568129Z -- Looking for strtof_l - found 2024-06-26T05:17:11.3570883Z -- Looking for strtoull_l 2024-06-26T05:17:11.5461529Z -- Looking for strtoull_l - found 2024-06-26T05:17:11.5464338Z -- Looking for realpath 2024-06-26T05:17:11.6621574Z -- Looking for realpath - found 2024-06-26T05:17:11.6622251Z -- CMAKE_CXX_FLAGS: 2024-06-26T05:17:11.6640661Z -- executorch: Using PAL default 'posix' 2024-06-26T05:17:11.6682677Z -- Generating operator lib: 2024-06-26T05:17:11.6683117Z -- LIB_NAME: portable_ops_lib 2024-06-26T05:17:11.6683782Z -- OPS_SCHEMA_YAML: /executorch/kernels/portable/functions.yaml 2024-06-26T05:17:11.6684575Z -- ROOT_OPS: 2024-06-26T05:17:11.6685029Z -- INCLUDE_ALL_OPS: 2024-06-26T05:17:11.6686673Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/executorch/cmake-out/kernels/portable/portable_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/executorch/kernels/portable/functions.yaml" 2024-06-26T05:17:11.6688122Z -- Generating kernel bindings: 2024-06-26T05:17:11.6688832Z -- LIB_NAME: portable_ops_lib 2024-06-26T05:17:11.6689698Z -- FUNCTIONS_YAML: /executorch/kernels/portable/functions.yaml 2024-06-26T05:17:11.6690446Z -- CUSTOM_OPS_YAML: 2024-06-26T05:17:11.7949960Z Generated files /executorch/cmake-out/kernels/portable/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/executorch/cmake-out/kernels/portable/portable_ops_lib/Functions.h;/executorch/cmake-out/kernels/portable/portable_ops_lib/NativeFunctions.h 2024-06-26T05:17:11.7953348Z -- Generating operator lib: 2024-06-26T05:17:11.7953797Z -- LIB_NAME: portable_ops_lib 2024-06-26T05:17:11.7954219Z -- KERNEL_LIBS: portable_kernels 2024-06-26T05:17:11.7954693Z -- DEPS: executorch 2024-06-26T05:17:11.8001484Z -- Looking for C++ include unistd.h 2024-06-26T05:17:11.9482821Z -- Looking for C++ include unistd.h - found 2024-06-26T05:17:11.9485720Z -- Looking for C++ include stdint.h 2024-06-26T05:17:12.1203228Z -- Looking for C++ include stdint.h - found 2024-06-26T05:17:12.1205542Z -- Looking for C++ include inttypes.h 2024-06-26T05:17:12.2713431Z -- Looking for C++ include inttypes.h - found 2024-06-26T05:17:12.2716176Z -- Looking for C++ include sys/types.h 2024-06-26T05:17:12.4412400Z -- Looking for C++ include sys/types.h - found 2024-06-26T05:17:12.4414860Z -- Looking for C++ include sys/stat.h 2024-06-26T05:17:12.5936724Z -- Looking for C++ include sys/stat.h - found 2024-06-26T05:17:12.5939729Z -- Looking for C++ include fnmatch.h 2024-06-26T05:17:12.7437706Z -- Looking for C++ include fnmatch.h - found 2024-06-26T05:17:12.7444177Z -- Looking for C++ include stddef.h 2024-06-26T05:17:12.8917690Z -- Looking for C++ include stddef.h - found 2024-06-26T05:17:12.8918456Z -- Check size of uint32_t 2024-06-26T05:17:13.0525271Z -- Check size of uint32_t - done 2024-06-26T05:17:13.0528776Z -- Looking for strtoll 2024-06-26T05:17:13.2003835Z -- Looking for strtoll - found 2024-06-26T05:17:13.2824073Z -- The ASM compiler identification is Clang with GNU-like command-line 2024-06-26T05:17:13.2837545Z -- Found assembler: /opt/cache/bin/cc 2024-06-26T05:17:13.2868158Z -- Downloading FP16 to /executorch/cmake-out/FP16-source (define FP16_SOURCE_DIR to avoid it) 2024-06-26T05:17:13.3092272Z -- Configuring done 2024-06-26T05:17:13.3108843Z -- Generating done 2024-06-26T05:17:13.3121519Z -- Build files have been written to: /executorch/cmake-out/FP16-download 2024-06-26T05:17:13.3439979Z [ 11%] Creating directories for 'fp16' 2024-06-26T05:17:13.3823739Z [ 22%] Performing download step (download, verify and extract) for 'fp16' 2024-06-26T05:17:13.3873252Z -- Downloading... 2024-06-26T05:17:13.3874442Z dst='/executorch/cmake-out/FP16-download/fp16-prefix/src/0a92994d729ff76a58f692d3028ca1b64b145d91.zip' 2024-06-26T05:17:13.3875247Z timeout='none' 2024-06-26T05:17:13.3875585Z inactivity timeout='none' 2024-06-26T05:17:13.3876425Z -- Using src='https://github.com/Maratyszcza/FP16/archive/0a92994d729ff76a58f692d3028ca1b64b145d91.zip' 2024-06-26T05:17:13.5103642Z -- [download 14% complete] 2024-06-26T05:17:13.5115104Z -- [download 33% complete] 2024-06-26T05:17:13.5115581Z -- [download 43% complete] 2024-06-26T05:17:13.5126633Z -- [download 46% complete] 2024-06-26T05:17:13.5128835Z -- [download 64% complete] 2024-06-26T05:17:13.5129893Z -- [download 76% complete] 2024-06-26T05:17:13.5139513Z -- [download 79% complete] 2024-06-26T05:17:13.5142494Z -- [download 97% complete] 2024-06-26T05:17:13.5143185Z -- [download 100% complete] 2024-06-26T05:17:13.5146424Z -- verifying file... 2024-06-26T05:17:13.5147551Z file='/executorch/cmake-out/FP16-download/fp16-prefix/src/0a92994d729ff76a58f692d3028ca1b64b145d91.zip' 2024-06-26T05:17:13.5149602Z -- Downloading... done 2024-06-26T05:17:13.5269198Z -- extracting... 2024-06-26T05:17:13.5270110Z src='/executorch/cmake-out/FP16-download/fp16-prefix/src/0a92994d729ff76a58f692d3028ca1b64b145d91.zip' 2024-06-26T05:17:13.5270978Z dst='/executorch/cmake-out/FP16-source' 2024-06-26T05:17:13.5271437Z -- extracting... [tar xfz] 2024-06-26T05:17:13.5359263Z -- extracting... [analysis] 2024-06-26T05:17:13.5359927Z -- extracting... [rename] 2024-06-26T05:17:13.5360786Z -- extracting... [clean up] 2024-06-26T05:17:13.5361804Z -- extracting... done 2024-06-26T05:17:13.5463295Z [ 33%] No update step for 'fp16' 2024-06-26T05:17:13.5594420Z [ 44%] No patch step for 'fp16' 2024-06-26T05:17:13.5722931Z [ 55%] No configure step for 'fp16' 2024-06-26T05:17:13.5861306Z [ 66%] No build step for 'fp16' 2024-06-26T05:17:13.6003549Z [ 77%] No install step for 'fp16' 2024-06-26T05:17:13.6145314Z [ 88%] No test step for 'fp16' 2024-06-26T05:17:13.6288891Z [100%] Completed 'fp16' 2024-06-26T05:17:13.6539280Z [100%] Built target fp16 2024-06-26T05:17:13.6990704Z -- Downloading PSimd to /executorch/cmake-out/psimd-source (define PSIMD_SOURCE_DIR to avoid it) 2024-06-26T05:17:13.7288688Z -- Configuring done 2024-06-26T05:17:13.7304952Z -- Generating done 2024-06-26T05:17:13.7325670Z -- Build files have been written to: /executorch/cmake-out/psimd-download 2024-06-26T05:17:13.7624100Z [ 11%] Creating directories for 'psimd' 2024-06-26T05:17:13.8006554Z [ 22%] Performing download step (git clone) for 'psimd' 2024-06-26T05:17:13.8147768Z Cloning into 'psimd-source'... 2024-06-26T05:17:13.9189884Z Already on 'master' 2024-06-26T05:17:13.9190685Z Your branch is up to date with 'origin/master'. 2024-06-26T05:17:13.9539358Z [ 33%] Performing update step for 'psimd' 2024-06-26T05:17:14.0399123Z HEAD is now at 072586a Fix psimd_qfma_f32 for FMA-enabled x86 processors 2024-06-26T05:17:14.0652152Z [ 44%] No patch step for 'psimd' 2024-06-26T05:17:14.0789999Z [ 55%] No configure step for 'psimd' 2024-06-26T05:17:14.0938375Z [ 66%] No build step for 'psimd' 2024-06-26T05:17:14.1080266Z [ 77%] No install step for 'psimd' 2024-06-26T05:17:14.1222081Z [ 88%] No test step for 'psimd' 2024-06-26T05:17:14.1364367Z [100%] Completed 'psimd' 2024-06-26T05:17:14.1606490Z [100%] Built target psimd 2024-06-26T05:17:14.1720639Z -- 2024-06-26T05:17:14.1721326Z -- ******** Summary ******** 2024-06-26T05:17:14.1721910Z -- CMAKE_BUILD_TYPE : Release 2024-06-26T05:17:14.1722401Z -- 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2024-06-26T05:19:55.9214903Z [100%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-16.c.o 2024-06-26T05:19:55.9228755Z [100%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-32.c.o 2024-06-26T05:19:55.9462342Z [100%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-64.c.o 2024-06-26T05:19:55.9769966Z [100%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-2048.c.o 2024-06-26T05:19:55.9812028Z [100%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/vlog.c.o 2024-06-26T05:19:56.0794206Z [100%] Built target microkernels-all 2024-06-26T05:19:56.0877463Z ++ ./cmake-out/backends/xnnpack/xnn_executor_runner --model_path mv3_xnnpack_fp32.pte 2024-06-26T05:19:56.1340310Z Output 0: tensor(sizes=[1, 1000], [ 2024-06-26T05:19:56.1343067Z -0.0297393, -0.116339, 0.234517, -0.115164, 0.284061, 1.33266, -1.2022, -0.418207, -0.861482, 0.962639, 2024-06-26T05:19:56.1345696Z 2.05277, 0.0322925, -0.672343, -0.137665, -0.785476, -0.191066, 0.478214, -1.26891, -0.088921, -0.0928017, 2024-06-26T05:19:56.1348028Z -1.35861, 3.53779, 1.71552, 1.36141, -0.172413, 0.221098, 1.33974, 0.580502, 1.56505, -0.204694, 2024-06-26T05:19:56.1350228Z -1.91138, 0.0594274, -0.480637, -0.466429, 0.812005, -1.7187, 0.20946, -1.64942, 2.64706, -1.81845, 2024-06-26T05:19:56.1352519Z 0.0644161, 0.913042, 1.08294, 2.03153, 0.366068, 1.04362, -0.548811, 2.08425, -1.41956, -1.71164, 2024-06-26T05:19:56.1354777Z -1.92737, 0.822698, 1.65539, 0.988031, 0.465188, -1.36933, -0.598565, -0.559073, -0.845723, 1.56356, 2024-06-26T05:19:56.1356371Z 0.656556, -0.24683, 0.556266, 1.71325, 0.386309, 0.838485, 1.38649, -0.594456, 1.44696, -0.336694, 2024-06-26T05:19:56.1358022Z 0.817793, 2.16338, 0.452426, 2.40616, -0.203031, 1.58677, -0.00467926, 0.391144, 3.28668, 1.32204, 2024-06-26T05:19:56.1359726Z 2.26962, 0.525647, 0.393956, 2.02201, -1.76368, -0.793003, 0.871537, 0.615612, -0.240767, 0.662299, 2024-06-26T05:19:56.1361337Z -0.822543, 0.770245, 1.65924, -0.345425, -0.102899, 0.538087, 0.080388, -1.50696, 0.749941, 0.125527, 2024-06-26T05:19:56.1362375Z ..., 2024-06-26T05:19:56.1363596Z 0.978578, 2.59865, 3.61896, 0.340618, 0.444938, 0.760727, 2.25554, 0.673821, 0.773279, 0.901684, 2024-06-26T05:19:56.1365129Z 1.19766, 0.744912, 1.02076, 0.317085, 1.93721, -0.230186, 2.05909, 1.14174, -0.718051, 2.01183, 2024-06-26T05:19:56.1366164Z 1.97479, 2.68669, 0.0470679, 0.859211, -1.01457, 1.66463, 1.62474, 0.308362, -0.830095, 0.904798, 2024-06-26T05:19:56.1367356Z 2.00759, -0.694679, -0.00692726, -0.317871, 0.0855334, 0.0203555, -0.0538518, -0.501041, 0.918041, -1.4842, 2024-06-26T05:19:56.1368433Z 1.68228, -0.304509, 0.818989, -0.442585, -1.71591, 0.7211, -1.11912, -0.560188, 0.792762, 1.72536, 2024-06-26T05:19:56.1369546Z 0.0979931, 0.635416, 0.140095, -0.858204, 0.531696, -1.45715, 0.525842, -0.311963, -0.14877, 0.240125, 2024-06-26T05:19:56.1370598Z 0.233016, 0.418199, 0.319395, -1.34773, 0.813186, -0.508098, 1.48234, 0.756895, 0.994116, 2.93616, 2024-06-26T05:19:56.1371626Z 0.502231, 0.777375, 0.751077, -1.91974, 1.34087, 0.581284, 1.6911, 1.16569, 2.25252, 0.191161, 2024-06-26T05:19:56.1372742Z 0.948299, 0.508458, 0.229857, -0.155782, 0.170956, 0.545926, -0.805999, 0.195963, -0.0608289, -0.78506, 2024-06-26T05:19:56.1373810Z -0.438103, -1.82035, -0.877345, -0.129996, -0.643686, 0.254722, -0.689361, -0.311216, 0.469063, 1.01164, 2024-06-26T05:19:56.1374507Z ]) 2024-06-26T05:19:56.1384066Z ++ echo ::endgroup:: 2024-06-26T05:19:56.1384893Z ##[endgroup] 2024-06-26T05:19:56.1385497Z ++ [[ xnnpack-quantization-delegation == *\q\u\a\n\t\i\z\a\t\i\o\n* ]] 2024-06-26T05:19:56.1386274Z ++ [[ xnnpack-quantization-delegation == *\d\e\l\e\g\a\t\i\o\n* ]] 2024-06-26T05:19:56.1387119Z ++ echo '::group::Testing mv3 with XNNPACK quantization and delegation...' 2024-06-26T05:19:56.1388059Z ##[group]Testing mv3 with XNNPACK quantization and delegation... 2024-06-26T05:19:56.1388695Z ++ test_model_with_xnnpack true true 2024-06-26T05:19:56.1389078Z ++ WITH_QUANTIZATION=true 2024-06-26T05:19:56.1389412Z ++ WITH_DELEGATION=true 2024-06-26T05:19:56.1389727Z ++ [[ true == true ]] 2024-06-26T05:19:56.1390014Z ++ [[ true == false ]] 2024-06-26T05:19:56.1390317Z ++ [[ true == true ]] 2024-06-26T05:19:56.1390609Z ++ SUFFIX=q8 2024-06-26T05:19:56.1391174Z ++ python -m examples.xnnpack.aot_compiler --model_name=mv3 --delegate --quantize 2024-06-26T05:19:58.1148479Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/passes/_quant_patterns_and_replacements.py:106: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-06-26T05:19:58.1150647Z @impl_abstract("quantized_decomposed::embedding_byte.out") 2024-06-26T05:19:58.1333863Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/passes/_quant_patterns_and_replacements.py:153: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-06-26T05:19:58.1336192Z @impl_abstract("quantized_decomposed::embedding_byte.dtype_out") 2024-06-26T05:19:58.1339249Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/passes/_quant_patterns_and_replacements.py:228: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-06-26T05:19:58.1341759Z @impl_abstract("quantized_decomposed::embedding_4bit.out") 2024-06-26T05:19:58.1344082Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/executorch/exir/passes/_quant_patterns_and_replacements.py:281: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. 2024-06-26T05:19:58.1346097Z @impl_abstract("quantized_decomposed::embedding_4bit.dtype_out") 2024-06-26T05:19:58.5672826Z INFO:root:Loading mobilenet_v3 model 2024-06-26T05:19:58.6242899Z INFO:root:Loaded mobilenet_v3 model 2024-06-26T05:19:58.6283689Z W0626 05:19:58.627000 140389596256064 torch/_export/__init__.py:92] +============================+ 2024-06-26T05:19:58.6285672Z W0626 05:19:58.628000 140389596256064 torch/_export/__init__.py:93] | !!! WARNING !!! | 2024-06-26T05:19:58.6287568Z W0626 05:19:58.628000 140389596256064 torch/_export/__init__.py:94] +============================+ 2024-06-26T05:19:58.6290489Z W0626 05:19:58.628000 140389596256064 torch/_export/__init__.py:95] capture_pre_autograd_graph() is deprecated and doesn't provide any function guarantee moving forward. 2024-06-26T05:19:58.6293191Z W0626 05:19:58.628000 140389596256064 torch/_export/__init__.py:96] Please switch to use torch.export instead. 2024-06-26T05:20:00.2606536Z INFO:root:Quantizing Model... 2024-06-26T05:20:00.2607776Z INFO:root:Original model: GraphModule() 2024-06-26T05:20:00.2608350Z 2024-06-26T05:20:00.2608357Z 2024-06-26T05:20:00.2610261Z 2024-06-26T05:20:00.2610658Z def forward(self, x): 2024-06-26T05:20:00.2611455Z arg0, = fx_pytree.tree_flatten_spec(([x], {}), self._in_spec) 2024-06-26T05:20:00.2612242Z arg0_1 = arg0 2024-06-26T05:20:00.2612987Z _param_constant0 = self.features_0_0_weight 2024-06-26T05:20:00.2614084Z conv2d = torch.ops.aten.conv2d.default(arg0_1, _param_constant0, None, [2, 2], [1, 1]); arg0_1 = _param_constant0 = None 2024-06-26T05:20:00.2616799Z empty = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.2617971Z _param_constant1 = self.features_0_1_weight 2024-06-26T05:20:00.2618447Z _param_constant2 = self.features_0_1_bias 2024-06-26T05:20:00.2618938Z _tensor_constant0 = self.features_0_1_running_mean 2024-06-26T05:20:00.2619550Z _tensor_constant1 = self.features_0_1_running_var 2024-06-26T05:20:00.2621277Z _native_batch_norm_legit_no_training = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d, _param_constant1, _param_constant2, _tensor_constant0, _tensor_constant1, 0.01, 0.001); conv2d = _param_constant1 = _param_constant2 = _tensor_constant0 = _tensor_constant1 = None 2024-06-26T05:20:00.2622911Z getitem = _native_batch_norm_legit_no_training[0] 2024-06-26T05:20:00.2623442Z getitem_1 = _native_batch_norm_legit_no_training[1] 2024-06-26T05:20:00.2624176Z getitem_2 = _native_batch_norm_legit_no_training[2]; _native_batch_norm_legit_no_training = None 2024-06-26T05:20:00.2625066Z hardswish_ = torch.ops.aten.hardswish_.default(getitem); getitem = None 2024-06-26T05:20:00.2625728Z _param_constant3 = self.features_1_block_0_0_weight 2024-06-26T05:20:00.2626749Z conv2d_1 = torch.ops.aten.conv2d.default(hardswish_, _param_constant3, None, [2, 2], [1, 1], [1, 1], 16); hardswish_ = _param_constant3 = None 2024-06-26T05:20:00.2628206Z empty_1 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.2629106Z _param_constant4 = self.features_1_block_0_1_weight 2024-06-26T05:20:00.2629628Z _param_constant5 = self.features_1_block_0_1_bias 2024-06-26T05:20:00.2630166Z _tensor_constant2 = self.features_1_block_0_1_running_mean 2024-06-26T05:20:00.2630751Z _tensor_constant3 = self.features_1_block_0_1_running_var 2024-06-26T05:20:00.2632434Z _native_batch_norm_legit_no_training_1 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_1, _param_constant4, _param_constant5, _tensor_constant2, _tensor_constant3, 0.01, 0.001); conv2d_1 = _param_constant4 = _param_constant5 = _tensor_constant2 = _tensor_constant3 = None 2024-06-26T05:20:00.2634086Z getitem_3 = _native_batch_norm_legit_no_training_1[0] 2024-06-26T05:20:00.2634631Z getitem_4 = _native_batch_norm_legit_no_training_1[1] 2024-06-26T05:20:00.2635445Z getitem_5 = _native_batch_norm_legit_no_training_1[2]; _native_batch_norm_legit_no_training_1 = None 2024-06-26T05:20:00.2636291Z relu_ = torch.ops.aten.relu_.default(getitem_3); getitem_3 = None 2024-06-26T05:20:00.2637050Z adaptive_avg_pool2d = torch.ops.aten.adaptive_avg_pool2d.default(relu_, [1, 1]) 2024-06-26T05:20:00.2637757Z _param_constant6 = self.features_1_block_1_fc1_weight 2024-06-26T05:20:00.2638801Z _param_constant7 = self.features_1_block_1_fc1_bias 2024-06-26T05:20:00.2640285Z conv2d_2 = torch.ops.aten.conv2d.default(adaptive_avg_pool2d, _param_constant6, _param_constant7); adaptive_avg_pool2d = _param_constant6 = _param_constant7 = None 2024-06-26T05:20:00.2641463Z relu = torch.ops.aten.relu.default(conv2d_2); conv2d_2 = None 2024-06-26T05:20:00.2642076Z _param_constant8 = self.features_1_block_1_fc2_weight 2024-06-26T05:20:00.2642614Z _param_constant9 = self.features_1_block_1_fc2_bias 2024-06-26T05:20:00.2643578Z conv2d_3 = torch.ops.aten.conv2d.default(relu, _param_constant8, _param_constant9); relu = _param_constant8 = _param_constant9 = None 2024-06-26T05:20:00.2644682Z hardsigmoid = torch.ops.aten.hardsigmoid.default(conv2d_3); conv2d_3 = None 2024-06-26T05:20:00.2645541Z mul = torch.ops.aten.mul.Tensor(hardsigmoid, relu_); hardsigmoid = relu_ = None 2024-06-26T05:20:00.2646241Z _param_constant10 = self.features_1_block_2_0_weight 2024-06-26T05:20:00.2647021Z conv2d_4 = torch.ops.aten.conv2d.default(mul, _param_constant10); mul = _param_constant10 = None 2024-06-26T05:20:00.2648384Z empty_2 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.2650870Z _param_constant11 = self.features_1_block_2_1_weight 2024-06-26T05:20:00.2651755Z _param_constant12 = self.features_1_block_2_1_bias 2024-06-26T05:20:00.2652757Z _tensor_constant4 = self.features_1_block_2_1_running_mean 2024-06-26T05:20:00.2654013Z _tensor_constant5 = self.features_1_block_2_1_running_var 2024-06-26T05:20:00.2656071Z _native_batch_norm_legit_no_training_2 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_4, _param_constant11, _param_constant12, _tensor_constant4, _tensor_constant5, 0.01, 0.001); conv2d_4 = _param_constant11 = _param_constant12 = _tensor_constant4 = _tensor_constant5 = None 2024-06-26T05:20:00.2658907Z getitem_6 = _native_batch_norm_legit_no_training_2[0] 2024-06-26T05:20:00.2659905Z getitem_7 = _native_batch_norm_legit_no_training_2[1] 2024-06-26T05:20:00.2661339Z getitem_8 = _native_batch_norm_legit_no_training_2[2]; _native_batch_norm_legit_no_training_2 = None 2024-06-26T05:20:00.2662523Z _param_constant13 = self.features_2_block_0_0_weight 2024-06-26T05:20:00.2663369Z conv2d_5 = torch.ops.aten.conv2d.default(getitem_6, _param_constant13); getitem_6 = _param_constant13 = None 2024-06-26T05:20:00.2665100Z empty_3 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.2666509Z _param_constant14 = self.features_2_block_0_1_weight 2024-06-26T05:20:00.2667044Z _param_constant15 = self.features_2_block_0_1_bias 2024-06-26T05:20:00.2667605Z _tensor_constant6 = self.features_2_block_0_1_running_mean 2024-06-26T05:20:00.2668175Z _tensor_constant7 = self.features_2_block_0_1_running_var 2024-06-26T05:20:00.2669877Z _native_batch_norm_legit_no_training_3 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_5, _param_constant14, _param_constant15, _tensor_constant6, _tensor_constant7, 0.01, 0.001); conv2d_5 = _param_constant14 = _param_constant15 = _tensor_constant6 = _tensor_constant7 = None 2024-06-26T05:20:00.2671551Z getitem_9 = _native_batch_norm_legit_no_training_3[0] 2024-06-26T05:20:00.2672112Z getitem_10 = _native_batch_norm_legit_no_training_3[1] 2024-06-26T05:20:00.2672949Z getitem_11 = _native_batch_norm_legit_no_training_3[2]; _native_batch_norm_legit_no_training_3 = None 2024-06-26T05:20:00.2673816Z relu__1 = torch.ops.aten.relu_.default(getitem_9); getitem_9 = None 2024-06-26T05:20:00.2674446Z _param_constant16 = self.features_2_block_1_0_weight 2024-06-26T05:20:00.2675381Z conv2d_6 = torch.ops.aten.conv2d.default(relu__1, _param_constant16, None, [2, 2], [1, 1], [1, 1], 72); relu__1 = _param_constant16 = None 2024-06-26T05:20:00.2676800Z empty_4 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.2677717Z _param_constant17 = self.features_2_block_1_1_weight 2024-06-26T05:20:00.2678419Z _param_constant18 = self.features_2_block_1_1_bias 2024-06-26T05:20:00.2678978Z _tensor_constant8 = self.features_2_block_1_1_running_mean 2024-06-26T05:20:00.2679566Z _tensor_constant9 = self.features_2_block_1_1_running_var 2024-06-26T05:20:00.2681275Z _native_batch_norm_legit_no_training_4 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_6, _param_constant17, _param_constant18, _tensor_constant8, _tensor_constant9, 0.01, 0.001); conv2d_6 = _param_constant17 = _param_constant18 = _tensor_constant8 = _tensor_constant9 = None 2024-06-26T05:20:00.2682948Z getitem_12 = _native_batch_norm_legit_no_training_4[0] 2024-06-26T05:20:00.2683517Z getitem_13 = _native_batch_norm_legit_no_training_4[1] 2024-06-26T05:20:00.2684288Z getitem_14 = _native_batch_norm_legit_no_training_4[2]; _native_batch_norm_legit_no_training_4 = None 2024-06-26T05:20:00.2685212Z relu__2 = torch.ops.aten.relu_.default(getitem_12); getitem_12 = None 2024-06-26T05:20:00.2685843Z _param_constant19 = self.features_2_block_2_0_weight 2024-06-26T05:20:00.2686660Z conv2d_7 = torch.ops.aten.conv2d.default(relu__2, _param_constant19); relu__2 = _param_constant19 = None 2024-06-26T05:20:00.2687959Z empty_5 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.2688903Z _param_constant20 = self.features_2_block_2_1_weight 2024-06-26T05:20:00.2689436Z _param_constant21 = self.features_2_block_2_1_bias 2024-06-26T05:20:00.2689998Z _tensor_constant10 = self.features_2_block_2_1_running_mean 2024-06-26T05:20:00.2690588Z _tensor_constant11 = self.features_2_block_2_1_running_var 2024-06-26T05:20:00.2692315Z _native_batch_norm_legit_no_training_5 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_7, _param_constant20, _param_constant21, _tensor_constant10, _tensor_constant11, 0.01, 0.001); conv2d_7 = _param_constant20 = _param_constant21 = _tensor_constant10 = _tensor_constant11 = None 2024-06-26T05:20:00.2695555Z getitem_15 = _native_batch_norm_legit_no_training_5[0] 2024-06-26T05:20:00.2696978Z getitem_16 = _native_batch_norm_legit_no_training_5[1] 2024-06-26T05:20:00.2698574Z getitem_17 = _native_batch_norm_legit_no_training_5[2]; _native_batch_norm_legit_no_training_5 = None 2024-06-26T05:20:00.2700411Z _param_constant22 = self.features_3_block_0_0_weight 2024-06-26T05:20:00.2702169Z conv2d_8 = torch.ops.aten.conv2d.default(getitem_15, _param_constant22); _param_constant22 = None 2024-06-26T05:20:00.2704796Z empty_6 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.2706699Z _param_constant23 = self.features_3_block_0_1_weight 2024-06-26T05:20:00.2707799Z _param_constant24 = self.features_3_block_0_1_bias 2024-06-26T05:20:00.2708962Z _tensor_constant12 = self.features_3_block_0_1_running_mean 2024-06-26T05:20:00.2710197Z _tensor_constant13 = self.features_3_block_0_1_running_var 2024-06-26T05:20:00.2713592Z _native_batch_norm_legit_no_training_6 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_8, _param_constant23, _param_constant24, _tensor_constant12, _tensor_constant13, 0.01, 0.001); conv2d_8 = _param_constant23 = _param_constant24 = _tensor_constant12 = _tensor_constant13 = None 2024-06-26T05:20:00.2717198Z getitem_18 = _native_batch_norm_legit_no_training_6[0] 2024-06-26T05:20:00.2718486Z getitem_19 = _native_batch_norm_legit_no_training_6[1] 2024-06-26T05:20:00.2720084Z getitem_20 = _native_batch_norm_legit_no_training_6[2]; _native_batch_norm_legit_no_training_6 = None 2024-06-26T05:20:00.2721905Z relu__3 = torch.ops.aten.relu_.default(getitem_18); getitem_18 = None 2024-06-26T05:20:00.2723055Z _param_constant25 = self.features_3_block_1_0_weight 2024-06-26T05:20:00.2724754Z conv2d_9 = torch.ops.aten.conv2d.default(relu__3, _param_constant25, None, [1, 1], [1, 1], [1, 1], 88); relu__3 = _param_constant25 = None 2024-06-26T05:20:00.2727349Z empty_7 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.2729000Z _param_constant26 = self.features_3_block_1_1_weight 2024-06-26T05:20:00.2729937Z _param_constant27 = self.features_3_block_1_1_bias 2024-06-26T05:20:00.2730956Z _tensor_constant14 = self.features_3_block_1_1_running_mean 2024-06-26T05:20:00.2732024Z _tensor_constant15 = self.features_3_block_1_1_running_var 2024-06-26T05:20:00.2735202Z _native_batch_norm_legit_no_training_7 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_9, _param_constant26, _param_constant27, _tensor_constant14, _tensor_constant15, 0.01, 0.001); conv2d_9 = _param_constant26 = _param_constant27 = _tensor_constant14 = _tensor_constant15 = None 2024-06-26T05:20:00.2738305Z getitem_21 = _native_batch_norm_legit_no_training_7[0] 2024-06-26T05:20:00.2739409Z getitem_22 = _native_batch_norm_legit_no_training_7[1] 2024-06-26T05:20:00.2740867Z getitem_23 = _native_batch_norm_legit_no_training_7[2]; _native_batch_norm_legit_no_training_7 = None 2024-06-26T05:20:00.2742430Z relu__4 = torch.ops.aten.relu_.default(getitem_21); getitem_21 = None 2024-06-26T05:20:00.2743567Z _param_constant28 = self.features_3_block_2_0_weight 2024-06-26T05:20:00.2745125Z conv2d_10 = torch.ops.aten.conv2d.default(relu__4, _param_constant28); relu__4 = _param_constant28 = None 2024-06-26T05:20:00.2747505Z empty_8 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.2749152Z _param_constant29 = self.features_3_block_2_1_weight 2024-06-26T05:20:00.2750107Z _param_constant30 = self.features_3_block_2_1_bias 2024-06-26T05:20:00.2751120Z _tensor_constant16 = self.features_3_block_2_1_running_mean 2024-06-26T05:20:00.2752188Z _tensor_constant17 = self.features_3_block_2_1_running_var 2024-06-26T05:20:00.2755390Z _native_batch_norm_legit_no_training_8 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_10, _param_constant29, _param_constant30, _tensor_constant16, _tensor_constant17, 0.01, 0.001); conv2d_10 = _param_constant29 = _param_constant30 = _tensor_constant16 = _tensor_constant17 = None 2024-06-26T05:20:00.2758682Z getitem_24 = _native_batch_norm_legit_no_training_8[0] 2024-06-26T05:20:00.2759691Z getitem_25 = _native_batch_norm_legit_no_training_8[1] 2024-06-26T05:20:00.2761073Z getitem_26 = _native_batch_norm_legit_no_training_8[2]; _native_batch_norm_legit_no_training_8 = None 2024-06-26T05:20:00.2762808Z add_ = torch.ops.aten.add_.Tensor(getitem_24, getitem_15); getitem_24 = getitem_15 = None 2024-06-26T05:20:00.2764137Z _param_constant31 = self.features_4_block_0_0_weight 2024-06-26T05:20:00.2765559Z conv2d_11 = torch.ops.aten.conv2d.default(add_, _param_constant31); add_ = _param_constant31 = None 2024-06-26T05:20:00.2768000Z empty_9 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.2769664Z _param_constant32 = self.features_4_block_0_1_weight 2024-06-26T05:20:00.2770613Z _param_constant33 = self.features_4_block_0_1_bias 2024-06-26T05:20:00.2771610Z _tensor_constant18 = self.features_4_block_0_1_running_mean 2024-06-26T05:20:00.2772748Z _tensor_constant19 = self.features_4_block_0_1_running_var 2024-06-26T05:20:00.2775941Z _native_batch_norm_legit_no_training_9 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_11, _param_constant32, _param_constant33, _tensor_constant18, _tensor_constant19, 0.01, 0.001); conv2d_11 = _param_constant32 = _param_constant33 = _tensor_constant18 = _tensor_constant19 = None 2024-06-26T05:20:00.2779076Z getitem_27 = _native_batch_norm_legit_no_training_9[0] 2024-06-26T05:20:00.2780169Z getitem_28 = _native_batch_norm_legit_no_training_9[1] 2024-06-26T05:20:00.2781559Z getitem_29 = _native_batch_norm_legit_no_training_9[2]; _native_batch_norm_legit_no_training_9 = None 2024-06-26T05:20:00.2783230Z hardswish__1 = torch.ops.aten.hardswish_.default(getitem_27); getitem_27 = None 2024-06-26T05:20:00.2784474Z _param_constant34 = self.features_4_block_1_0_weight 2024-06-26T05:20:00.2786278Z conv2d_12 = torch.ops.aten.conv2d.default(hardswish__1, _param_constant34, None, [2, 2], [2, 2], [1, 1], 96); hardswish__1 = _param_constant34 = None 2024-06-26T05:20:00.2788967Z empty_10 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.2790614Z _param_constant35 = self.features_4_block_1_1_weight 2024-06-26T05:20:00.2791562Z _param_constant36 = self.features_4_block_1_1_bias 2024-06-26T05:20:00.2792568Z _tensor_constant20 = self.features_4_block_1_1_running_mean 2024-06-26T05:20:00.2793697Z _tensor_constant21 = self.features_4_block_1_1_running_var 2024-06-26T05:20:00.2796863Z _native_batch_norm_legit_no_training_10 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_12, _param_constant35, _param_constant36, _tensor_constant20, _tensor_constant21, 0.01, 0.001); conv2d_12 = _param_constant35 = _param_constant36 = _tensor_constant20 = _tensor_constant21 = None 2024-06-26T05:20:00.2800112Z getitem_30 = _native_batch_norm_legit_no_training_10[0] 2024-06-26T05:20:00.2801190Z getitem_31 = _native_batch_norm_legit_no_training_10[1] 2024-06-26T05:20:00.2802600Z getitem_32 = _native_batch_norm_legit_no_training_10[2]; _native_batch_norm_legit_no_training_10 = None 2024-06-26T05:20:00.2804276Z hardswish__2 = torch.ops.aten.hardswish_.default(getitem_30); getitem_30 = None 2024-06-26T05:20:00.2805889Z adaptive_avg_pool2d_1 = torch.ops.aten.adaptive_avg_pool2d.default(hardswish__2, [1, 1]) 2024-06-26T05:20:00.2807230Z _param_constant37 = self.features_4_block_2_fc1_weight 2024-06-26T05:20:00.2808200Z _param_constant38 = self.features_4_block_2_fc1_bias 2024-06-26T05:20:00.2810287Z conv2d_13 = torch.ops.aten.conv2d.default(adaptive_avg_pool2d_1, _param_constant37, _param_constant38); adaptive_avg_pool2d_1 = _param_constant37 = _param_constant38 = None 2024-06-26T05:20:00.2812522Z relu_1 = torch.ops.aten.relu.default(conv2d_13); conv2d_13 = None 2024-06-26T05:20:00.2813705Z _param_constant39 = self.features_4_block_2_fc2_weight 2024-06-26T05:20:00.2814698Z _param_constant40 = self.features_4_block_2_fc2_bias 2024-06-26T05:20:00.2816488Z conv2d_14 = torch.ops.aten.conv2d.default(relu_1, _param_constant39, _param_constant40); relu_1 = _param_constant39 = _param_constant40 = None 2024-06-26T05:20:00.2818603Z hardsigmoid_1 = torch.ops.aten.hardsigmoid.default(conv2d_14); conv2d_14 = None 2024-06-26T05:20:00.2820416Z mul_1 = torch.ops.aten.mul.Tensor(hardsigmoid_1, hardswish__2); hardsigmoid_1 = hardswish__2 = None 2024-06-26T05:20:00.2821868Z _param_constant41 = self.features_4_block_3_0_weight 2024-06-26T05:20:00.2823316Z conv2d_15 = torch.ops.aten.conv2d.default(mul_1, _param_constant41); mul_1 = _param_constant41 = None 2024-06-26T05:20:00.2825672Z empty_11 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.2827335Z _param_constant42 = self.features_4_block_3_1_weight 2024-06-26T05:20:00.2828360Z _param_constant43 = self.features_4_block_3_1_bias 2024-06-26T05:20:00.2829363Z _tensor_constant22 = self.features_4_block_3_1_running_mean 2024-06-26T05:20:00.2830435Z _tensor_constant23 = self.features_4_block_3_1_running_var 2024-06-26T05:20:00.2833653Z _native_batch_norm_legit_no_training_11 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_15, _param_constant42, _param_constant43, _tensor_constant22, _tensor_constant23, 0.01, 0.001); conv2d_15 = _param_constant42 = _param_constant43 = _tensor_constant22 = _tensor_constant23 = None 2024-06-26T05:20:00.2836804Z getitem_33 = _native_batch_norm_legit_no_training_11[0] 2024-06-26T05:20:00.2837809Z getitem_34 = _native_batch_norm_legit_no_training_11[1] 2024-06-26T05:20:00.2839314Z getitem_35 = _native_batch_norm_legit_no_training_11[2]; _native_batch_norm_legit_no_training_11 = None 2024-06-26T05:20:00.2840716Z _param_constant44 = self.features_5_block_0_0_weight 2024-06-26T05:20:00.2842152Z conv2d_16 = torch.ops.aten.conv2d.default(getitem_33, _param_constant44); _param_constant44 = None 2024-06-26T05:20:00.2844488Z empty_12 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.2846151Z _param_constant45 = self.features_5_block_0_1_weight 2024-06-26T05:20:00.2847096Z _param_constant46 = self.features_5_block_0_1_bias 2024-06-26T05:20:00.2848092Z _tensor_constant24 = self.features_5_block_0_1_running_mean 2024-06-26T05:20:00.2849228Z _tensor_constant25 = self.features_5_block_0_1_running_var 2024-06-26T05:20:00.2852436Z _native_batch_norm_legit_no_training_12 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_16, _param_constant45, _param_constant46, _tensor_constant24, _tensor_constant25, 0.01, 0.001); conv2d_16 = _param_constant45 = _param_constant46 = _tensor_constant24 = _tensor_constant25 = None 2024-06-26T05:20:00.2855590Z getitem_36 = _native_batch_norm_legit_no_training_12[0] 2024-06-26T05:20:00.2856652Z getitem_37 = _native_batch_norm_legit_no_training_12[1] 2024-06-26T05:20:00.2858070Z getitem_38 = _native_batch_norm_legit_no_training_12[2]; _native_batch_norm_legit_no_training_12 = None 2024-06-26T05:20:00.2859754Z hardswish__3 = torch.ops.aten.hardswish_.default(getitem_36); getitem_36 = None 2024-06-26T05:20:00.2861039Z _param_constant47 = self.features_5_block_1_0_weight 2024-06-26T05:20:00.2862850Z conv2d_17 = torch.ops.aten.conv2d.default(hardswish__3, _param_constant47, None, [1, 1], [2, 2], [1, 1], 240); hardswish__3 = _param_constant47 = None 2024-06-26T05:20:00.2865537Z empty_13 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.2867203Z _param_constant48 = self.features_5_block_1_1_weight 2024-06-26T05:20:00.2868138Z _param_constant49 = self.features_5_block_1_1_bias 2024-06-26T05:20:00.2869198Z _tensor_constant26 = self.features_5_block_1_1_running_mean 2024-06-26T05:20:00.2870282Z _tensor_constant27 = self.features_5_block_1_1_running_var 2024-06-26T05:20:00.2873463Z _native_batch_norm_legit_no_training_13 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_17, _param_constant48, _param_constant49, _tensor_constant26, _tensor_constant27, 0.01, 0.001); conv2d_17 = _param_constant48 = _param_constant49 = _tensor_constant26 = _tensor_constant27 = None 2024-06-26T05:20:00.2876622Z getitem_39 = _native_batch_norm_legit_no_training_13[0] 2024-06-26T05:20:00.2877639Z getitem_40 = _native_batch_norm_legit_no_training_13[1] 2024-06-26T05:20:00.2879159Z getitem_41 = _native_batch_norm_legit_no_training_13[2]; _native_batch_norm_legit_no_training_13 = None 2024-06-26T05:20:00.2880827Z hardswish__4 = torch.ops.aten.hardswish_.default(getitem_39); getitem_39 = None 2024-06-26T05:20:00.2882443Z adaptive_avg_pool2d_2 = torch.ops.aten.adaptive_avg_pool2d.default(hardswish__4, [1, 1]) 2024-06-26T05:20:00.2883861Z _param_constant50 = self.features_5_block_2_fc1_weight 2024-06-26T05:20:00.2884826Z _param_constant51 = self.features_5_block_2_fc1_bias 2024-06-26T05:20:00.2886915Z conv2d_18 = torch.ops.aten.conv2d.default(adaptive_avg_pool2d_2, _param_constant50, _param_constant51); adaptive_avg_pool2d_2 = _param_constant50 = _param_constant51 = None 2024-06-26T05:20:00.2889147Z relu_2 = torch.ops.aten.relu.default(conv2d_18); conv2d_18 = None 2024-06-26T05:20:00.2890269Z _param_constant52 = self.features_5_block_2_fc2_weight 2024-06-26T05:20:00.2891255Z _param_constant53 = self.features_5_block_2_fc2_bias 2024-06-26T05:20:00.2893067Z conv2d_19 = torch.ops.aten.conv2d.default(relu_2, _param_constant52, _param_constant53); relu_2 = _param_constant52 = _param_constant53 = None 2024-06-26T05:20:00.2895186Z hardsigmoid_2 = torch.ops.aten.hardsigmoid.default(conv2d_19); conv2d_19 = None 2024-06-26T05:20:00.2896943Z mul_2 = torch.ops.aten.mul.Tensor(hardsigmoid_2, hardswish__4); hardsigmoid_2 = hardswish__4 = None 2024-06-26T05:20:00.2898397Z _param_constant54 = self.features_5_block_3_0_weight 2024-06-26T05:20:00.2899900Z conv2d_20 = torch.ops.aten.conv2d.default(mul_2, _param_constant54); mul_2 = _param_constant54 = None 2024-06-26T05:20:00.2902240Z empty_14 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.2903901Z _param_constant55 = self.features_5_block_3_1_weight 2024-06-26T05:20:00.2904856Z _param_constant56 = self.features_5_block_3_1_bias 2024-06-26T05:20:00.2905932Z _tensor_constant28 = self.features_5_block_3_1_running_mean 2024-06-26T05:20:00.2906992Z _tensor_constant29 = self.features_5_block_3_1_running_var 2024-06-26T05:20:00.2910203Z _native_batch_norm_legit_no_training_14 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_20, _param_constant55, _param_constant56, _tensor_constant28, _tensor_constant29, 0.01, 0.001); conv2d_20 = _param_constant55 = _param_constant56 = _tensor_constant28 = _tensor_constant29 = None 2024-06-26T05:20:00.2913392Z getitem_42 = _native_batch_norm_legit_no_training_14[0] 2024-06-26T05:20:00.2914400Z getitem_43 = _native_batch_norm_legit_no_training_14[1] 2024-06-26T05:20:00.2915815Z getitem_44 = _native_batch_norm_legit_no_training_14[2]; _native_batch_norm_legit_no_training_14 = None 2024-06-26T05:20:00.2917586Z add__1 = torch.ops.aten.add_.Tensor(getitem_42, getitem_33); getitem_42 = getitem_33 = None 2024-06-26T05:20:00.2919033Z _param_constant57 = self.features_6_block_0_0_weight 2024-06-26T05:20:00.2920413Z conv2d_21 = torch.ops.aten.conv2d.default(add__1, _param_constant57); _param_constant57 = None 2024-06-26T05:20:00.2922704Z empty_15 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.2924368Z _param_constant58 = self.features_6_block_0_1_weight 2024-06-26T05:20:00.2925378Z _param_constant59 = self.features_6_block_0_1_bias 2024-06-26T05:20:00.2926396Z _tensor_constant30 = self.features_6_block_0_1_running_mean 2024-06-26T05:20:00.2927475Z _tensor_constant31 = self.features_6_block_0_1_running_var 2024-06-26T05:20:00.2930671Z _native_batch_norm_legit_no_training_15 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_21, _param_constant58, _param_constant59, _tensor_constant30, _tensor_constant31, 0.01, 0.001); conv2d_21 = _param_constant58 = _param_constant59 = _tensor_constant30 = _tensor_constant31 = None 2024-06-26T05:20:00.2933818Z getitem_45 = _native_batch_norm_legit_no_training_15[0] 2024-06-26T05:20:00.2934837Z getitem_46 = _native_batch_norm_legit_no_training_15[1] 2024-06-26T05:20:00.2936259Z getitem_47 = _native_batch_norm_legit_no_training_15[2]; _native_batch_norm_legit_no_training_15 = None 2024-06-26T05:20:00.2937920Z hardswish__5 = torch.ops.aten.hardswish_.default(getitem_45); getitem_45 = None 2024-06-26T05:20:00.2939245Z _param_constant60 = self.features_6_block_1_0_weight 2024-06-26T05:20:00.2941150Z conv2d_22 = torch.ops.aten.conv2d.default(hardswish__5, _param_constant60, None, [1, 1], [2, 2], [1, 1], 240); hardswish__5 = _param_constant60 = None 2024-06-26T05:20:00.2943846Z empty_16 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.2945491Z _param_constant61 = self.features_6_block_1_1_weight 2024-06-26T05:20:00.2946445Z _param_constant62 = self.features_6_block_1_1_bias 2024-06-26T05:20:00.2947459Z _tensor_constant32 = self.features_6_block_1_1_running_mean 2024-06-26T05:20:00.2948516Z _tensor_constant33 = self.features_6_block_1_1_running_var 2024-06-26T05:20:00.2951732Z _native_batch_norm_legit_no_training_16 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_22, _param_constant61, _param_constant62, _tensor_constant32, _tensor_constant33, 0.01, 0.001); conv2d_22 = _param_constant61 = _param_constant62 = _tensor_constant32 = _tensor_constant33 = None 2024-06-26T05:20:00.2954880Z getitem_48 = _native_batch_norm_legit_no_training_16[0] 2024-06-26T05:20:00.2955903Z getitem_49 = _native_batch_norm_legit_no_training_16[1] 2024-06-26T05:20:00.2957324Z getitem_50 = _native_batch_norm_legit_no_training_16[2]; _native_batch_norm_legit_no_training_16 = None 2024-06-26T05:20:00.2959090Z hardswish__6 = torch.ops.aten.hardswish_.default(getitem_48); getitem_48 = None 2024-06-26T05:20:00.2960714Z adaptive_avg_pool2d_3 = torch.ops.aten.adaptive_avg_pool2d.default(hardswish__6, [1, 1]) 2024-06-26T05:20:00.2962122Z _param_constant63 = self.features_6_block_2_fc1_weight 2024-06-26T05:20:00.2963108Z _param_constant64 = self.features_6_block_2_fc1_bias 2024-06-26T05:20:00.2965185Z conv2d_23 = torch.ops.aten.conv2d.default(adaptive_avg_pool2d_3, _param_constant63, _param_constant64); adaptive_avg_pool2d_3 = _param_constant63 = _param_constant64 = None 2024-06-26T05:20:00.2967477Z relu_3 = torch.ops.aten.relu.default(conv2d_23); conv2d_23 = None 2024-06-26T05:20:00.2968603Z _param_constant65 = self.features_6_block_2_fc2_weight 2024-06-26T05:20:00.2969586Z _param_constant66 = self.features_6_block_2_fc2_bias 2024-06-26T05:20:00.2971393Z conv2d_24 = torch.ops.aten.conv2d.default(relu_3, _param_constant65, _param_constant66); relu_3 = _param_constant65 = _param_constant66 = None 2024-06-26T05:20:00.2973499Z hardsigmoid_3 = torch.ops.aten.hardsigmoid.default(conv2d_24); conv2d_24 = None 2024-06-26T05:20:00.2975270Z mul_3 = torch.ops.aten.mul.Tensor(hardsigmoid_3, hardswish__6); hardsigmoid_3 = hardswish__6 = None 2024-06-26T05:20:00.2976716Z _param_constant67 = self.features_6_block_3_0_weight 2024-06-26T05:20:00.2978151Z conv2d_25 = torch.ops.aten.conv2d.default(mul_3, _param_constant67); mul_3 = _param_constant67 = None 2024-06-26T05:20:00.2980623Z empty_17 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.2982301Z _param_constant68 = self.features_6_block_3_1_weight 2024-06-26T05:20:00.2983245Z _param_constant69 = self.features_6_block_3_1_bias 2024-06-26T05:20:00.2984234Z _tensor_constant34 = self.features_6_block_3_1_running_mean 2024-06-26T05:20:00.2985310Z _tensor_constant35 = self.features_6_block_3_1_running_var 2024-06-26T05:20:00.2988504Z _native_batch_norm_legit_no_training_17 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_25, _param_constant68, _param_constant69, _tensor_constant34, _tensor_constant35, 0.01, 0.001); conv2d_25 = _param_constant68 = _param_constant69 = _tensor_constant34 = _tensor_constant35 = None 2024-06-26T05:20:00.2991681Z getitem_51 = _native_batch_norm_legit_no_training_17[0] 2024-06-26T05:20:00.2992684Z getitem_52 = _native_batch_norm_legit_no_training_17[1] 2024-06-26T05:20:00.2994155Z getitem_53 = _native_batch_norm_legit_no_training_17[2]; _native_batch_norm_legit_no_training_17 = None 2024-06-26T05:20:00.2995860Z add__2 = torch.ops.aten.add_.Tensor(getitem_51, add__1); getitem_51 = add__1 = None 2024-06-26T05:20:00.2997119Z _param_constant70 = self.features_7_block_0_0_weight 2024-06-26T05:20:00.2998694Z conv2d_26 = torch.ops.aten.conv2d.default(add__2, _param_constant70); add__2 = _param_constant70 = None 2024-06-26T05:20:00.3001062Z empty_18 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.3002719Z _param_constant71 = self.features_7_block_0_1_weight 2024-06-26T05:20:00.3003667Z _param_constant72 = self.features_7_block_0_1_bias 2024-06-26T05:20:00.3004680Z _tensor_constant36 = self.features_7_block_0_1_running_mean 2024-06-26T05:20:00.3005757Z _tensor_constant37 = self.features_7_block_0_1_running_var 2024-06-26T05:20:00.3008945Z _native_batch_norm_legit_no_training_18 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_26, _param_constant71, _param_constant72, _tensor_constant36, _tensor_constant37, 0.01, 0.001); conv2d_26 = _param_constant71 = _param_constant72 = _tensor_constant36 = _tensor_constant37 = None 2024-06-26T05:20:00.3012100Z getitem_54 = _native_batch_norm_legit_no_training_18[0] 2024-06-26T05:20:00.3013127Z getitem_55 = _native_batch_norm_legit_no_training_18[1] 2024-06-26T05:20:00.3014532Z getitem_56 = _native_batch_norm_legit_no_training_18[2]; _native_batch_norm_legit_no_training_18 = None 2024-06-26T05:20:00.3016222Z hardswish__7 = torch.ops.aten.hardswish_.default(getitem_54); getitem_54 = None 2024-06-26T05:20:00.3017562Z _param_constant73 = self.features_7_block_1_0_weight 2024-06-26T05:20:00.3019377Z conv2d_27 = torch.ops.aten.conv2d.default(hardswish__7, _param_constant73, None, [1, 1], [2, 2], [1, 1], 120); hardswish__7 = _param_constant73 = None 2024-06-26T05:20:00.3022129Z empty_19 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.3023842Z _param_constant74 = self.features_7_block_1_1_weight 2024-06-26T05:20:00.3024785Z _param_constant75 = self.features_7_block_1_1_bias 2024-06-26T05:20:00.3025778Z _tensor_constant38 = self.features_7_block_1_1_running_mean 2024-06-26T05:20:00.3026846Z _tensor_constant39 = self.features_7_block_1_1_running_var 2024-06-26T05:20:00.3030059Z _native_batch_norm_legit_no_training_19 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_27, _param_constant74, _param_constant75, _tensor_constant38, _tensor_constant39, 0.01, 0.001); conv2d_27 = _param_constant74 = _param_constant75 = _tensor_constant38 = _tensor_constant39 = None 2024-06-26T05:20:00.3033206Z getitem_57 = _native_batch_norm_legit_no_training_19[0] 2024-06-26T05:20:00.3034217Z getitem_58 = _native_batch_norm_legit_no_training_19[1] 2024-06-26T05:20:00.3035681Z getitem_59 = _native_batch_norm_legit_no_training_19[2]; _native_batch_norm_legit_no_training_19 = None 2024-06-26T05:20:00.3037380Z hardswish__8 = torch.ops.aten.hardswish_.default(getitem_57); getitem_57 = None 2024-06-26T05:20:00.3039074Z adaptive_avg_pool2d_4 = torch.ops.aten.adaptive_avg_pool2d.default(hardswish__8, [1, 1]) 2024-06-26T05:20:00.3040438Z _param_constant76 = self.features_7_block_2_fc1_weight 2024-06-26T05:20:00.3041430Z _param_constant77 = self.features_7_block_2_fc1_bias 2024-06-26T05:20:00.3043516Z conv2d_28 = torch.ops.aten.conv2d.default(adaptive_avg_pool2d_4, _param_constant76, _param_constant77); adaptive_avg_pool2d_4 = _param_constant76 = _param_constant77 = None 2024-06-26T05:20:00.3045727Z relu_4 = torch.ops.aten.relu.default(conv2d_28); conv2d_28 = None 2024-06-26T05:20:00.3046863Z _param_constant78 = self.features_7_block_2_fc2_weight 2024-06-26T05:20:00.3047844Z _param_constant79 = self.features_7_block_2_fc2_bias 2024-06-26T05:20:00.3049700Z conv2d_29 = torch.ops.aten.conv2d.default(relu_4, _param_constant78, _param_constant79); relu_4 = _param_constant78 = _param_constant79 = None 2024-06-26T05:20:00.3051839Z hardsigmoid_4 = torch.ops.aten.hardsigmoid.default(conv2d_29); conv2d_29 = None 2024-06-26T05:20:00.3053598Z mul_4 = torch.ops.aten.mul.Tensor(hardsigmoid_4, hardswish__8); hardsigmoid_4 = hardswish__8 = None 2024-06-26T05:20:00.3055052Z _param_constant80 = self.features_7_block_3_0_weight 2024-06-26T05:20:00.3056481Z conv2d_30 = torch.ops.aten.conv2d.default(mul_4, _param_constant80); mul_4 = _param_constant80 = None 2024-06-26T05:20:00.3058819Z empty_20 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.3060547Z _param_constant81 = self.features_7_block_3_1_weight 2024-06-26T05:20:00.3061488Z _param_constant82 = self.features_7_block_3_1_bias 2024-06-26T05:20:00.3062495Z _tensor_constant40 = self.features_7_block_3_1_running_mean 2024-06-26T05:20:00.3063568Z _tensor_constant41 = self.features_7_block_3_1_running_var 2024-06-26T05:20:00.3066760Z _native_batch_norm_legit_no_training_20 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_30, _param_constant81, _param_constant82, _tensor_constant40, _tensor_constant41, 0.01, 0.001); conv2d_30 = _param_constant81 = _param_constant82 = _tensor_constant40 = _tensor_constant41 = None 2024-06-26T05:20:00.3069923Z getitem_60 = _native_batch_norm_legit_no_training_20[0] 2024-06-26T05:20:00.3084781Z getitem_61 = _native_batch_norm_legit_no_training_20[1] 2024-06-26T05:20:00.3086487Z getitem_62 = _native_batch_norm_legit_no_training_20[2]; _native_batch_norm_legit_no_training_20 = None 2024-06-26T05:20:00.3087932Z _param_constant83 = self.features_8_block_0_0_weight 2024-06-26T05:20:00.3089380Z conv2d_31 = torch.ops.aten.conv2d.default(getitem_60, _param_constant83); _param_constant83 = None 2024-06-26T05:20:00.3091758Z empty_21 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.3093504Z _param_constant84 = self.features_8_block_0_1_weight 2024-06-26T05:20:00.3094467Z _param_constant85 = self.features_8_block_0_1_bias 2024-06-26T05:20:00.3095474Z _tensor_constant42 = self.features_8_block_0_1_running_mean 2024-06-26T05:20:00.3096555Z _tensor_constant43 = self.features_8_block_0_1_running_var 2024-06-26T05:20:00.3099761Z _native_batch_norm_legit_no_training_21 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_31, _param_constant84, _param_constant85, _tensor_constant42, _tensor_constant43, 0.01, 0.001); conv2d_31 = _param_constant84 = _param_constant85 = _tensor_constant42 = _tensor_constant43 = None 2024-06-26T05:20:00.3103002Z getitem_63 = _native_batch_norm_legit_no_training_21[0] 2024-06-26T05:20:00.3104017Z getitem_64 = _native_batch_norm_legit_no_training_21[1] 2024-06-26T05:20:00.3105518Z getitem_65 = _native_batch_norm_legit_no_training_21[2]; _native_batch_norm_legit_no_training_21 = None 2024-06-26T05:20:00.3107210Z hardswish__9 = torch.ops.aten.hardswish_.default(getitem_63); getitem_63 = None 2024-06-26T05:20:00.3108457Z _param_constant86 = self.features_8_block_1_0_weight 2024-06-26T05:20:00.3110275Z conv2d_32 = torch.ops.aten.conv2d.default(hardswish__9, _param_constant86, None, [1, 1], [2, 2], [1, 1], 144); hardswish__9 = _param_constant86 = None 2024-06-26T05:20:00.3112985Z empty_22 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.3114655Z _param_constant87 = self.features_8_block_1_1_weight 2024-06-26T05:20:00.3115591Z _param_constant88 = self.features_8_block_1_1_bias 2024-06-26T05:20:00.3116611Z _tensor_constant44 = self.features_8_block_1_1_running_mean 2024-06-26T05:20:00.3117690Z _tensor_constant45 = self.features_8_block_1_1_running_var 2024-06-26T05:20:00.3121106Z _native_batch_norm_legit_no_training_22 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_32, _param_constant87, _param_constant88, _tensor_constant44, _tensor_constant45, 0.01, 0.001); conv2d_32 = _param_constant87 = _param_constant88 = _tensor_constant44 = _tensor_constant45 = None 2024-06-26T05:20:00.3124277Z getitem_66 = _native_batch_norm_legit_no_training_22[0] 2024-06-26T05:20:00.3125312Z getitem_67 = _native_batch_norm_legit_no_training_22[1] 2024-06-26T05:20:00.3126730Z getitem_68 = _native_batch_norm_legit_no_training_22[2]; _native_batch_norm_legit_no_training_22 = None 2024-06-26T05:20:00.3128420Z hardswish__10 = torch.ops.aten.hardswish_.default(getitem_66); getitem_66 = None 2024-06-26T05:20:00.3130063Z adaptive_avg_pool2d_5 = torch.ops.aten.adaptive_avg_pool2d.default(hardswish__10, [1, 1]) 2024-06-26T05:20:00.3131429Z _param_constant89 = self.features_8_block_2_fc1_weight 2024-06-26T05:20:00.3132408Z _param_constant90 = self.features_8_block_2_fc1_bias 2024-06-26T05:20:00.3134507Z conv2d_33 = torch.ops.aten.conv2d.default(adaptive_avg_pool2d_5, _param_constant89, _param_constant90); adaptive_avg_pool2d_5 = _param_constant89 = _param_constant90 = None 2024-06-26T05:20:00.3136751Z relu_5 = torch.ops.aten.relu.default(conv2d_33); conv2d_33 = None 2024-06-26T05:20:00.3137894Z _param_constant91 = self.features_8_block_2_fc2_weight 2024-06-26T05:20:00.3138872Z _param_constant92 = self.features_8_block_2_fc2_bias 2024-06-26T05:20:00.3140768Z conv2d_34 = torch.ops.aten.conv2d.default(relu_5, _param_constant91, _param_constant92); relu_5 = _param_constant91 = _param_constant92 = None 2024-06-26T05:20:00.3142945Z hardsigmoid_5 = torch.ops.aten.hardsigmoid.default(conv2d_34); conv2d_34 = None 2024-06-26T05:20:00.3144703Z mul_5 = torch.ops.aten.mul.Tensor(hardsigmoid_5, hardswish__10); hardsigmoid_5 = hardswish__10 = None 2024-06-26T05:20:00.3146172Z _param_constant93 = self.features_8_block_3_0_weight 2024-06-26T05:20:00.3147633Z conv2d_35 = torch.ops.aten.conv2d.default(mul_5, _param_constant93); mul_5 = _param_constant93 = None 2024-06-26T05:20:00.3150034Z empty_23 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.3151693Z _param_constant94 = self.features_8_block_3_1_weight 2024-06-26T05:20:00.3152641Z _param_constant95 = self.features_8_block_3_1_bias 2024-06-26T05:20:00.3153659Z _tensor_constant46 = self.features_8_block_3_1_running_mean 2024-06-26T05:20:00.3154724Z _tensor_constant47 = self.features_8_block_3_1_running_var 2024-06-26T05:20:00.3158099Z _native_batch_norm_legit_no_training_23 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_35, _param_constant94, _param_constant95, _tensor_constant46, _tensor_constant47, 0.01, 0.001); conv2d_35 = _param_constant94 = _param_constant95 = _tensor_constant46 = _tensor_constant47 = None 2024-06-26T05:20:00.3161351Z getitem_69 = _native_batch_norm_legit_no_training_23[0] 2024-06-26T05:20:00.3162444Z getitem_70 = _native_batch_norm_legit_no_training_23[1] 2024-06-26T05:20:00.3163854Z getitem_71 = _native_batch_norm_legit_no_training_23[2]; _native_batch_norm_legit_no_training_23 = None 2024-06-26T05:20:00.3165632Z add__3 = torch.ops.aten.add_.Tensor(getitem_69, getitem_60); getitem_69 = getitem_60 = None 2024-06-26T05:20:00.3166959Z _param_constant96 = self.features_9_block_0_0_weight 2024-06-26T05:20:00.3168427Z conv2d_36 = torch.ops.aten.conv2d.default(add__3, _param_constant96); add__3 = _param_constant96 = None 2024-06-26T05:20:00.3170795Z empty_24 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.3172454Z _param_constant97 = self.features_9_block_0_1_weight 2024-06-26T05:20:00.3173386Z _param_constant98 = self.features_9_block_0_1_bias 2024-06-26T05:20:00.3174396Z _tensor_constant48 = self.features_9_block_0_1_running_mean 2024-06-26T05:20:00.3175527Z _tensor_constant49 = self.features_9_block_0_1_running_var 2024-06-26T05:20:00.3178711Z _native_batch_norm_legit_no_training_24 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_36, _param_constant97, _param_constant98, _tensor_constant48, _tensor_constant49, 0.01, 0.001); conv2d_36 = _param_constant97 = _param_constant98 = _tensor_constant48 = _tensor_constant49 = None 2024-06-26T05:20:00.3181923Z getitem_72 = _native_batch_norm_legit_no_training_24[0] 2024-06-26T05:20:00.3182944Z getitem_73 = _native_batch_norm_legit_no_training_24[1] 2024-06-26T05:20:00.3184370Z getitem_74 = _native_batch_norm_legit_no_training_24[2]; _native_batch_norm_legit_no_training_24 = None 2024-06-26T05:20:00.3186050Z hardswish__11 = torch.ops.aten.hardswish_.default(getitem_72); getitem_72 = None 2024-06-26T05:20:00.3187324Z _param_constant99 = self.features_9_block_1_0_weight 2024-06-26T05:20:00.3189163Z conv2d_37 = torch.ops.aten.conv2d.default(hardswish__11, _param_constant99, None, [2, 2], [2, 2], [1, 1], 288); hardswish__11 = _param_constant99 = None 2024-06-26T05:20:00.3191873Z empty_25 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.3193540Z _param_constant100 = self.features_9_block_1_1_weight 2024-06-26T05:20:00.3194495Z _param_constant101 = self.features_9_block_1_1_bias 2024-06-26T05:20:00.3195492Z _tensor_constant50 = self.features_9_block_1_1_running_mean 2024-06-26T05:20:00.3196557Z _tensor_constant51 = self.features_9_block_1_1_running_var 2024-06-26T05:20:00.3199951Z _native_batch_norm_legit_no_training_25 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_37, _param_constant100, _param_constant101, _tensor_constant50, _tensor_constant51, 0.01, 0.001); conv2d_37 = _param_constant100 = _param_constant101 = _tensor_constant50 = _tensor_constant51 = None 2024-06-26T05:20:00.3203136Z getitem_75 = _native_batch_norm_legit_no_training_25[0] 2024-06-26T05:20:00.3204214Z getitem_76 = _native_batch_norm_legit_no_training_25[1] 2024-06-26T05:20:00.3205630Z getitem_77 = _native_batch_norm_legit_no_training_25[2]; _native_batch_norm_legit_no_training_25 = None 2024-06-26T05:20:00.3207310Z hardswish__12 = torch.ops.aten.hardswish_.default(getitem_75); getitem_75 = None 2024-06-26T05:20:00.3208940Z adaptive_avg_pool2d_6 = torch.ops.aten.adaptive_avg_pool2d.default(hardswish__12, [1, 1]) 2024-06-26T05:20:00.3210299Z _param_constant102 = self.features_9_block_2_fc1_weight 2024-06-26T05:20:00.3211294Z _param_constant103 = self.features_9_block_2_fc1_bias 2024-06-26T05:20:00.3213412Z conv2d_38 = torch.ops.aten.conv2d.default(adaptive_avg_pool2d_6, _param_constant102, _param_constant103); adaptive_avg_pool2d_6 = _param_constant102 = _param_constant103 = None 2024-06-26T05:20:00.3215660Z relu_6 = torch.ops.aten.relu.default(conv2d_38); conv2d_38 = None 2024-06-26T05:20:00.3216807Z _param_constant104 = self.features_9_block_2_fc2_weight 2024-06-26T05:20:00.3217867Z _param_constant105 = self.features_9_block_2_fc2_bias 2024-06-26T05:20:00.3219696Z conv2d_39 = torch.ops.aten.conv2d.default(relu_6, _param_constant104, _param_constant105); relu_6 = _param_constant104 = _param_constant105 = None 2024-06-26T05:20:00.3221880Z hardsigmoid_6 = torch.ops.aten.hardsigmoid.default(conv2d_39); conv2d_39 = None 2024-06-26T05:20:00.3223658Z mul_6 = torch.ops.aten.mul.Tensor(hardsigmoid_6, hardswish__12); hardsigmoid_6 = hardswish__12 = None 2024-06-26T05:20:00.3225121Z _param_constant106 = self.features_9_block_3_0_weight 2024-06-26T05:20:00.3226589Z conv2d_40 = torch.ops.aten.conv2d.default(mul_6, _param_constant106); mul_6 = _param_constant106 = None 2024-06-26T05:20:00.3228957Z empty_26 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.3230630Z _param_constant107 = self.features_9_block_3_1_weight 2024-06-26T05:20:00.3231637Z _param_constant108 = self.features_9_block_3_1_bias 2024-06-26T05:20:00.3232659Z _tensor_constant52 = self.features_9_block_3_1_running_mean 2024-06-26T05:20:00.3233733Z _tensor_constant53 = self.features_9_block_3_1_running_var 2024-06-26T05:20:00.3236960Z _native_batch_norm_legit_no_training_26 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_40, _param_constant107, _param_constant108, _tensor_constant52, _tensor_constant53, 0.01, 0.001); conv2d_40 = _param_constant107 = _param_constant108 = _tensor_constant52 = _tensor_constant53 = None 2024-06-26T05:20:00.3240227Z getitem_78 = _native_batch_norm_legit_no_training_26[0] 2024-06-26T05:20:00.3241248Z getitem_79 = _native_batch_norm_legit_no_training_26[1] 2024-06-26T05:20:00.3242659Z getitem_80 = _native_batch_norm_legit_no_training_26[2]; _native_batch_norm_legit_no_training_26 = None 2024-06-26T05:20:00.3244060Z _param_constant109 = self.features_10_block_0_0_weight 2024-06-26T05:20:00.3245532Z conv2d_41 = torch.ops.aten.conv2d.default(getitem_78, _param_constant109); _param_constant109 = None 2024-06-26T05:20:00.3247880Z empty_27 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.3249557Z _param_constant110 = self.features_10_block_0_1_weight 2024-06-26T05:20:00.3250520Z _param_constant111 = self.features_10_block_0_1_bias 2024-06-26T05:20:00.3251546Z _tensor_constant54 = self.features_10_block_0_1_running_mean 2024-06-26T05:20:00.3252625Z _tensor_constant55 = self.features_10_block_0_1_running_var 2024-06-26T05:20:00.3255905Z _native_batch_norm_legit_no_training_27 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_41, _param_constant110, _param_constant111, _tensor_constant54, _tensor_constant55, 0.01, 0.001); conv2d_41 = _param_constant110 = _param_constant111 = _tensor_constant54 = _tensor_constant55 = None 2024-06-26T05:20:00.3259068Z getitem_81 = _native_batch_norm_legit_no_training_27[0] 2024-06-26T05:20:00.3260218Z getitem_82 = _native_batch_norm_legit_no_training_27[1] 2024-06-26T05:20:00.3261632Z getitem_83 = _native_batch_norm_legit_no_training_27[2]; _native_batch_norm_legit_no_training_27 = None 2024-06-26T05:20:00.3263316Z hardswish__13 = torch.ops.aten.hardswish_.default(getitem_81); getitem_81 = None 2024-06-26T05:20:00.3264600Z _param_constant112 = self.features_10_block_1_0_weight 2024-06-26T05:20:00.3266443Z conv2d_42 = torch.ops.aten.conv2d.default(hardswish__13, _param_constant112, None, [1, 1], [2, 2], [1, 1], 576); hardswish__13 = _param_constant112 = None 2024-06-26T05:20:00.3269158Z empty_28 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.3270827Z _param_constant113 = self.features_10_block_1_1_weight 2024-06-26T05:20:00.3271805Z _param_constant114 = self.features_10_block_1_1_bias 2024-06-26T05:20:00.3272877Z _tensor_constant56 = self.features_10_block_1_1_running_mean 2024-06-26T05:20:00.3273958Z _tensor_constant57 = self.features_10_block_1_1_running_var 2024-06-26T05:20:00.3277191Z _native_batch_norm_legit_no_training_28 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_42, _param_constant113, _param_constant114, _tensor_constant56, _tensor_constant57, 0.01, 0.001); conv2d_42 = _param_constant113 = _param_constant114 = _tensor_constant56 = _tensor_constant57 = None 2024-06-26T05:20:00.3280445Z getitem_84 = _native_batch_norm_legit_no_training_28[0] 2024-06-26T05:20:00.3281464Z getitem_85 = _native_batch_norm_legit_no_training_28[1] 2024-06-26T05:20:00.3282876Z getitem_86 = _native_batch_norm_legit_no_training_28[2]; _native_batch_norm_legit_no_training_28 = None 2024-06-26T05:20:00.3284571Z hardswish__14 = torch.ops.aten.hardswish_.default(getitem_84); getitem_84 = None 2024-06-26T05:20:00.3286197Z adaptive_avg_pool2d_7 = torch.ops.aten.adaptive_avg_pool2d.default(hardswish__14, [1, 1]) 2024-06-26T05:20:00.3287625Z _param_constant115 = self.features_10_block_2_fc1_weight 2024-06-26T05:20:00.3288641Z _param_constant116 = self.features_10_block_2_fc1_bias 2024-06-26T05:20:00.3290777Z conv2d_43 = torch.ops.aten.conv2d.default(adaptive_avg_pool2d_7, _param_constant115, _param_constant116); adaptive_avg_pool2d_7 = _param_constant115 = _param_constant116 = None 2024-06-26T05:20:00.3293023Z relu_7 = torch.ops.aten.relu.default(conv2d_43); conv2d_43 = None 2024-06-26T05:20:00.3294178Z _param_constant117 = self.features_10_block_2_fc2_weight 2024-06-26T05:20:00.3295192Z _param_constant118 = self.features_10_block_2_fc2_bias 2024-06-26T05:20:00.3297043Z conv2d_44 = torch.ops.aten.conv2d.default(relu_7, _param_constant117, _param_constant118); relu_7 = _param_constant117 = _param_constant118 = None 2024-06-26T05:20:00.3299174Z hardsigmoid_7 = torch.ops.aten.hardsigmoid.default(conv2d_44); conv2d_44 = None 2024-06-26T05:20:00.3301009Z mul_7 = torch.ops.aten.mul.Tensor(hardsigmoid_7, hardswish__14); hardsigmoid_7 = hardswish__14 = None 2024-06-26T05:20:00.3302490Z _param_constant119 = self.features_10_block_3_0_weight 2024-06-26T05:20:00.3303958Z conv2d_45 = torch.ops.aten.conv2d.default(mul_7, _param_constant119); mul_7 = _param_constant119 = None 2024-06-26T05:20:00.3306322Z empty_29 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.3308002Z _param_constant120 = self.features_10_block_3_1_weight 2024-06-26T05:20:00.3309056Z _param_constant121 = self.features_10_block_3_1_bias 2024-06-26T05:20:00.3310065Z _tensor_constant58 = self.features_10_block_3_1_running_mean 2024-06-26T05:20:00.3311146Z _tensor_constant59 = self.features_10_block_3_1_running_var 2024-06-26T05:20:00.3314402Z _native_batch_norm_legit_no_training_29 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_45, _param_constant120, _param_constant121, _tensor_constant58, _tensor_constant59, 0.01, 0.001); conv2d_45 = _param_constant120 = _param_constant121 = _tensor_constant58 = _tensor_constant59 = None 2024-06-26T05:20:00.3317632Z getitem_87 = _native_batch_norm_legit_no_training_29[0] 2024-06-26T05:20:00.3318744Z getitem_88 = _native_batch_norm_legit_no_training_29[1] 2024-06-26T05:20:00.3320173Z getitem_89 = _native_batch_norm_legit_no_training_29[2]; _native_batch_norm_legit_no_training_29 = None 2024-06-26T05:20:00.3321948Z add__4 = torch.ops.aten.add_.Tensor(getitem_87, getitem_78); getitem_87 = getitem_78 = None 2024-06-26T05:20:00.3323302Z _param_constant122 = self.features_11_block_0_0_weight 2024-06-26T05:20:00.3324716Z conv2d_46 = torch.ops.aten.conv2d.default(add__4, _param_constant122); _param_constant122 = None 2024-06-26T05:20:00.3327025Z empty_30 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.3328691Z _param_constant123 = self.features_11_block_0_1_weight 2024-06-26T05:20:00.3329739Z _param_constant124 = self.features_11_block_0_1_bias 2024-06-26T05:20:00.3330765Z _tensor_constant60 = self.features_11_block_0_1_running_mean 2024-06-26T05:20:00.3331835Z _tensor_constant61 = self.features_11_block_0_1_running_var 2024-06-26T05:20:00.3335082Z _native_batch_norm_legit_no_training_30 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_46, _param_constant123, _param_constant124, _tensor_constant60, _tensor_constant61, 0.01, 0.001); conv2d_46 = _param_constant123 = _param_constant124 = _tensor_constant60 = _tensor_constant61 = None 2024-06-26T05:20:00.3338267Z getitem_90 = _native_batch_norm_legit_no_training_30[0] 2024-06-26T05:20:00.3339287Z getitem_91 = _native_batch_norm_legit_no_training_30[1] 2024-06-26T05:20:00.3340722Z getitem_92 = _native_batch_norm_legit_no_training_30[2]; _native_batch_norm_legit_no_training_30 = None 2024-06-26T05:20:00.3342469Z hardswish__15 = torch.ops.aten.hardswish_.default(getitem_90); getitem_90 = None 2024-06-26T05:20:00.3343764Z _param_constant125 = self.features_11_block_1_0_weight 2024-06-26T05:20:00.3345618Z conv2d_47 = torch.ops.aten.conv2d.default(hardswish__15, _param_constant125, None, [1, 1], [2, 2], [1, 1], 576); hardswish__15 = _param_constant125 = None 2024-06-26T05:20:00.3348335Z empty_31 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.3350008Z _param_constant126 = self.features_11_block_1_1_weight 2024-06-26T05:20:00.3350982Z _param_constant127 = self.features_11_block_1_1_bias 2024-06-26T05:20:00.3351993Z _tensor_constant62 = self.features_11_block_1_1_running_mean 2024-06-26T05:20:00.3353075Z _tensor_constant63 = self.features_11_block_1_1_running_var 2024-06-26T05:20:00.3356317Z _native_batch_norm_legit_no_training_31 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_47, _param_constant126, _param_constant127, _tensor_constant62, _tensor_constant63, 0.01, 0.001); conv2d_47 = _param_constant126 = _param_constant127 = _tensor_constant62 = _tensor_constant63 = None 2024-06-26T05:20:00.3359608Z getitem_93 = _native_batch_norm_legit_no_training_31[0] 2024-06-26T05:20:00.3360619Z getitem_94 = _native_batch_norm_legit_no_training_31[1] 2024-06-26T05:20:00.3362029Z getitem_95 = _native_batch_norm_legit_no_training_31[2]; _native_batch_norm_legit_no_training_31 = None 2024-06-26T05:20:00.3363718Z hardswish__16 = torch.ops.aten.hardswish_.default(getitem_93); getitem_93 = None 2024-06-26T05:20:00.3365408Z adaptive_avg_pool2d_8 = torch.ops.aten.adaptive_avg_pool2d.default(hardswish__16, [1, 1]) 2024-06-26T05:20:00.3366781Z _param_constant128 = self.features_11_block_2_fc1_weight 2024-06-26T05:20:00.3367800Z _param_constant129 = self.features_11_block_2_fc1_bias 2024-06-26T05:20:00.3369952Z conv2d_48 = torch.ops.aten.conv2d.default(adaptive_avg_pool2d_8, _param_constant128, _param_constant129); adaptive_avg_pool2d_8 = _param_constant128 = _param_constant129 = None 2024-06-26T05:20:00.3372254Z relu_8 = torch.ops.aten.relu.default(conv2d_48); conv2d_48 = None 2024-06-26T05:20:00.3373407Z _param_constant130 = self.features_11_block_2_fc2_weight 2024-06-26T05:20:00.3374421Z _param_constant131 = self.features_11_block_2_fc2_bias 2024-06-26T05:20:00.3376263Z conv2d_49 = torch.ops.aten.conv2d.default(relu_8, _param_constant130, _param_constant131); relu_8 = _param_constant130 = _param_constant131 = None 2024-06-26T05:20:00.3378402Z hardsigmoid_8 = torch.ops.aten.hardsigmoid.default(conv2d_49); conv2d_49 = None 2024-06-26T05:20:00.3380277Z mul_8 = torch.ops.aten.mul.Tensor(hardsigmoid_8, hardswish__16); hardsigmoid_8 = hardswish__16 = None 2024-06-26T05:20:00.3381749Z _param_constant132 = self.features_11_block_3_0_weight 2024-06-26T05:20:00.3383211Z conv2d_50 = torch.ops.aten.conv2d.default(mul_8, _param_constant132); mul_8 = _param_constant132 = None 2024-06-26T05:20:00.3385640Z empty_32 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.3387319Z _param_constant133 = self.features_11_block_3_1_weight 2024-06-26T05:20:00.3388278Z _param_constant134 = self.features_11_block_3_1_bias 2024-06-26T05:20:00.3389301Z _tensor_constant64 = self.features_11_block_3_1_running_mean 2024-06-26T05:20:00.3390383Z _tensor_constant65 = self.features_11_block_3_1_running_var 2024-06-26T05:20:00.3393600Z _native_batch_norm_legit_no_training_32 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_50, _param_constant133, _param_constant134, _tensor_constant64, _tensor_constant65, 0.01, 0.001); conv2d_50 = _param_constant133 = _param_constant134 = _tensor_constant64 = _tensor_constant65 = None 2024-06-26T05:20:00.3396785Z getitem_96 = _native_batch_norm_legit_no_training_32[0] 2024-06-26T05:20:00.3397803Z getitem_97 = _native_batch_norm_legit_no_training_32[1] 2024-06-26T05:20:00.3399394Z getitem_98 = _native_batch_norm_legit_no_training_32[2]; _native_batch_norm_legit_no_training_32 = None 2024-06-26T05:20:00.3401078Z add__5 = torch.ops.aten.add_.Tensor(getitem_96, add__4); getitem_96 = add__4 = None 2024-06-26T05:20:00.3402302Z _param_constant135 = self.features_12_0_weight 2024-06-26T05:20:00.3403740Z conv2d_51 = torch.ops.aten.conv2d.default(add__5, _param_constant135); add__5 = _param_constant135 = None 2024-06-26T05:20:00.3406125Z empty_33 = torch.ops.aten.empty.memory_format([0], dtype = torch.uint8, layout = torch.strided, device = device(type='cpu')) 2024-06-26T05:20:00.3407735Z _param_constant136 = self.features_12_1_weight 2024-06-26T05:20:00.3408603Z _param_constant137 = self.features_12_1_bias 2024-06-26T05:20:00.3409508Z _tensor_constant66 = self.features_12_1_running_mean 2024-06-26T05:20:00.3410446Z _tensor_constant67 = self.features_12_1_running_var 2024-06-26T05:20:00.3413611Z _native_batch_norm_legit_no_training_33 = torch.ops.aten._native_batch_norm_legit_no_training.default(conv2d_51, _param_constant136, _param_constant137, _tensor_constant66, _tensor_constant67, 0.01, 0.001); conv2d_51 = _param_constant136 = _param_constant137 = _tensor_constant66 = _tensor_constant67 = None 2024-06-26T05:20:00.3416787Z getitem_99 = _native_batch_norm_legit_no_training_33[0] 2024-06-26T05:20:00.3417817Z getitem_100 = _native_batch_norm_legit_no_training_33[1] 2024-06-26T05:20:00.3419240Z getitem_101 = _native_batch_norm_legit_no_training_33[2]; _native_batch_norm_legit_no_training_33 = None 2024-06-26T05:20:00.3421066Z hardswish__17 = torch.ops.aten.hardswish_.default(getitem_99); getitem_99 = None 2024-06-26T05:20:00.3422907Z adaptive_avg_pool2d_9 = torch.ops.aten.adaptive_avg_pool2d.default(hardswish__17, [1, 1]); hardswish__17 = None 2024-06-26T05:20:00.3424940Z flatten = torch.ops.aten.flatten.using_ints(adaptive_avg_pool2d_9, 1); adaptive_avg_pool2d_9 = None 2024-06-26T05:20:00.3426367Z _param_constant138 = self.classifier_0_weight 2024-06-26T05:20:00.3427285Z _param_constant139 = self.classifier_0_bias 2024-06-26T05:20:00.3429064Z linear = torch.ops.aten.linear.default(flatten, _param_constant138, _param_constant139); flatten = _param_constant138 = _param_constant139 = None 2024-06-26T05:20:00.3431136Z hardswish__18 = torch.ops.aten.hardswish_.default(linear); linear = None 2024-06-26T05:20:00.3432727Z dropout_ = torch.ops.aten.dropout_.default(hardswish__18, 0.2, False); hardswish__18 = None 2024-06-26T05:20:00.3434052Z _param_constant140 = self.classifier_3_weight 2024-06-26T05:20:00.3434912Z _param_constant141 = self.classifier_3_bias 2024-06-26T05:20:00.3436734Z linear_1 = torch.ops.aten.linear.default(dropout_, _param_constant140, _param_constant141); dropout_ = _param_constant140 = _param_constant141 = None 2024-06-26T05:20:00.3438763Z return pytree.tree_unflatten([linear_1], self._out_spec) 2024-06-26T05:20:00.3439586Z 2024-06-26T05:20:00.3440368Z # To see more debug info, please use `graph_module.print_readable()` 2024-06-26T05:20:02.3503169Z INFO:root:Quantized model: GraphModule() 2024-06-26T05:20:02.3506166Z 2024-06-26T05:20:02.3506822Z 2024-06-26T05:20:02.3507716Z 2024-06-26T05:20:02.3509122Z def forward(self, x): 2024-06-26T05:20:02.3510186Z arg0, = fx_pytree.tree_flatten_spec(([x], {}), self._in_spec) 2024-06-26T05:20:02.3511375Z arg0_1 = arg0 2024-06-26T05:20:02.3513934Z quantize_per_tensor_default = torch.ops.quantized_decomposed.quantize_per_tensor.default(arg0_1, 0.032788049429655075, -11, -128, 127, torch.int8); arg0_1 = None 2024-06-26T05:20:02.3518199Z dequantize_per_tensor_default = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default, 0.032788049429655075, -11, -128, 127, torch.int8); quantize_per_tensor_default = None 2024-06-26T05:20:02.3520575Z _frozen_param0 = self._frozen_param0 2024-06-26T05:20:02.3523209Z dequantize_per_tensor_default_1 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param0, 0.13800540566444397, 0, -127, 127, torch.int8); _frozen_param0 = None 2024-06-26T05:20:02.3525481Z features_0_0_weight_bias = self.features_0_0_weight_bias 2024-06-26T05:20:02.3528251Z conv2d = torch.ops.aten.conv2d.default(dequantize_per_tensor_default, dequantize_per_tensor_default_1, features_0_0_weight_bias, [2, 2], [1, 1]); dequantize_per_tensor_default = dequantize_per_tensor_default_1 = features_0_0_weight_bias = None 2024-06-26T05:20:02.3532222Z quantize_per_tensor_default_2 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d, 0.9393326044082642, 0, -128, 127, torch.int8); conv2d = None 2024-06-26T05:20:02.3536366Z dequantize_per_tensor_default_2 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2, 0.9393326044082642, 0, -128, 127, torch.int8); quantize_per_tensor_default_2 = None 2024-06-26T05:20:02.3539514Z hardswish_ = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_2); dequantize_per_tensor_default_2 = None 2024-06-26T05:20:02.3542664Z quantize_per_tensor_default_3 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish_, 0.44094163179397583, -127, -128, 127, torch.int8); hardswish_ = None 2024-06-26T05:20:02.3546545Z dequantize_per_tensor_default_3 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_3, 0.44094163179397583, -127, -128, 127, torch.int8); quantize_per_tensor_default_3 = None 2024-06-26T05:20:02.3548912Z _frozen_param1 = self._frozen_param1 2024-06-26T05:20:02.3551357Z dequantize_per_tensor_default_4 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param1, 0.19347569346427917, 0, -127, 127, torch.int8); _frozen_param1 = None 2024-06-26T05:20:02.3553695Z features_1_block_0_0_weight_bias = self.features_1_block_0_0_weight_bias 2024-06-26T05:20:02.3556837Z conv2d_1 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_3, dequantize_per_tensor_default_4, features_1_block_0_0_weight_bias, [2, 2], [1, 1], [1, 1], 16); dequantize_per_tensor_default_3 = dequantize_per_tensor_default_4 = features_1_block_0_0_weight_bias = None 2024-06-26T05:20:02.3560028Z relu_ = torch.ops.aten.relu_.default(conv2d_1); conv2d_1 = None 2024-06-26T05:20:02.3562381Z quantize_per_tensor_default_5 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu_, 0.034876748919487, -128, -128, 127, torch.int8); relu_ = None 2024-06-26T05:20:02.3565788Z dequantize_per_tensor_default_164 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_5, 0.034876748919487, -128, -128, 127, torch.int8) 2024-06-26T05:20:02.3569737Z dequantize_per_tensor_default_163 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_5, 0.034876748919487, -128, -128, 127, torch.int8); quantize_per_tensor_default_5 = None 2024-06-26T05:20:02.3573256Z adaptive_avg_pool2d = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_163, [1, 1]); dequantize_per_tensor_default_163 = None 2024-06-26T05:20:02.3576772Z quantize_per_tensor_default_6 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d, 0.034876748919487, -128, -128, 127, torch.int8); adaptive_avg_pool2d = None 2024-06-26T05:20:02.3580857Z dequantize_per_tensor_default_6 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_6, 0.034876748919487, -128, -128, 127, torch.int8); quantize_per_tensor_default_6 = None 2024-06-26T05:20:02.3583221Z _frozen_param2 = self._frozen_param2 2024-06-26T05:20:02.3585480Z dequantize_per_tensor_default_7 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param2, 0.000244140625, 0, -127, 127, torch.int8); _frozen_param2 = None 2024-06-26T05:20:02.3587601Z _param_constant7 = self.features_1_block_1_fc1_bias 2024-06-26T05:20:02.3590197Z conv2d_2 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_6, dequantize_per_tensor_default_7, _param_constant7); dequantize_per_tensor_default_6 = dequantize_per_tensor_default_7 = _param_constant7 = None 2024-06-26T05:20:02.3592842Z relu = torch.ops.aten.relu.default(conv2d_2); conv2d_2 = None 2024-06-26T05:20:02.3595140Z quantize_per_tensor_default_8 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu, 0.000244140625, -128, -128, 127, torch.int8); relu = None 2024-06-26T05:20:02.3598930Z dequantize_per_tensor_default_8 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_8, 0.000244140625, -128, -128, 127, torch.int8); quantize_per_tensor_default_8 = None 2024-06-26T05:20:02.3601269Z _frozen_param3 = self._frozen_param3 2024-06-26T05:20:02.3603568Z dequantize_per_tensor_default_9 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param3, 0.000244140625, 0, -127, 127, torch.int8); _frozen_param3 = None 2024-06-26T05:20:02.3605716Z _param_constant9 = self.features_1_block_1_fc2_bias 2024-06-26T05:20:02.3608244Z conv2d_3 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_8, dequantize_per_tensor_default_9, _param_constant9); dequantize_per_tensor_default_8 = dequantize_per_tensor_default_9 = _param_constant9 = None 2024-06-26T05:20:02.3612098Z quantize_per_tensor_default_10 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_3, 0.009770921431481838, -12, -128, 127, torch.int8); conv2d_3 = None 2024-06-26T05:20:02.3616019Z dequantize_per_tensor_default_10 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_10, 0.009770921431481838, -12, -128, 127, torch.int8); quantize_per_tensor_default_10 = None 2024-06-26T05:20:02.3619381Z hardsigmoid = torch.ops.aten.hardsigmoid.default(dequantize_per_tensor_default_10); dequantize_per_tensor_default_10 = None 2024-06-26T05:20:02.3622574Z quantize_per_tensor_default_11 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardsigmoid, 0.0028459904715418816, -128, -128, 127, torch.int8); hardsigmoid = None 2024-06-26T05:20:02.3626668Z dequantize_per_tensor_default_11 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_11, 0.0028459904715418816, -128, -128, 127, torch.int8); quantize_per_tensor_default_11 = None 2024-06-26T05:20:02.3630358Z mul = torch.ops.aten.mul.Tensor(dequantize_per_tensor_default_11, dequantize_per_tensor_default_164); dequantize_per_tensor_default_11 = dequantize_per_tensor_default_164 = None 2024-06-26T05:20:02.3633724Z quantize_per_tensor_default_12 = torch.ops.quantized_decomposed.quantize_per_tensor.default(mul, 0.01608487404882908, -128, -128, 127, torch.int8); mul = None 2024-06-26T05:20:02.3637553Z dequantize_per_tensor_default_12 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_12, 0.01608487404882908, -128, -128, 127, torch.int8); quantize_per_tensor_default_12 = None 2024-06-26T05:20:02.3640235Z _frozen_param4 = self._frozen_param4 2024-06-26T05:20:02.3642578Z dequantize_per_tensor_default_13 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param4, 0.0519644133746624, 0, -127, 127, torch.int8); _frozen_param4 = None 2024-06-26T05:20:02.3644928Z features_1_block_2_0_weight_bias = self.features_1_block_2_0_weight_bias 2024-06-26T05:20:02.3647932Z conv2d_4 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_12, dequantize_per_tensor_default_13, features_1_block_2_0_weight_bias); dequantize_per_tensor_default_12 = dequantize_per_tensor_default_13 = features_1_block_2_0_weight_bias = None 2024-06-26T05:20:02.3652082Z quantize_per_tensor_default_14 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_4, 0.09980341047048569, -4, -128, 127, torch.int8); conv2d_4 = None 2024-06-26T05:20:02.3656005Z dequantize_per_tensor_default_14 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_14, 0.09980341047048569, -4, -128, 127, torch.int8); quantize_per_tensor_default_14 = None 2024-06-26T05:20:02.3658394Z _frozen_param5 = self._frozen_param5 2024-06-26T05:20:02.3660803Z dequantize_per_tensor_default_15 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param5, 0.007365490775555372, 0, -127, 127, torch.int8); _frozen_param5 = None 2024-06-26T05:20:02.3663166Z features_2_block_0_0_weight_bias = self.features_2_block_0_0_weight_bias 2024-06-26T05:20:02.3666145Z conv2d_5 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_14, dequantize_per_tensor_default_15, features_2_block_0_0_weight_bias); dequantize_per_tensor_default_14 = dequantize_per_tensor_default_15 = features_2_block_0_0_weight_bias = None 2024-06-26T05:20:02.3669096Z relu__1 = torch.ops.aten.relu_.default(conv2d_5); conv2d_5 = None 2024-06-26T05:20:02.3671499Z quantize_per_tensor_default_16 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu__1, 0.037708066403865814, -128, -128, 127, torch.int8); relu__1 = None 2024-06-26T05:20:02.3675398Z dequantize_per_tensor_default_16 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_16, 0.037708066403865814, -128, -128, 127, torch.int8); quantize_per_tensor_default_16 = None 2024-06-26T05:20:02.3677791Z _frozen_param6 = self._frozen_param6 2024-06-26T05:20:02.3680216Z dequantize_per_tensor_default_17 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param6, 0.10758370906114578, 0, -127, 127, torch.int8); _frozen_param6 = None 2024-06-26T05:20:02.3682648Z features_2_block_1_0_weight_bias = self.features_2_block_1_0_weight_bias 2024-06-26T05:20:02.3685799Z conv2d_6 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_16, dequantize_per_tensor_default_17, features_2_block_1_0_weight_bias, [2, 2], [1, 1], [1, 1], 72); dequantize_per_tensor_default_16 = dequantize_per_tensor_default_17 = features_2_block_1_0_weight_bias = None 2024-06-26T05:20:02.3688912Z relu__2 = torch.ops.aten.relu_.default(conv2d_6); conv2d_6 = None 2024-06-26T05:20:02.3691334Z quantize_per_tensor_default_18 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu__2, 0.03328622877597809, -128, -128, 127, torch.int8); relu__2 = None 2024-06-26T05:20:02.3695186Z dequantize_per_tensor_default_18 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_18, 0.03328622877597809, -128, -128, 127, torch.int8); quantize_per_tensor_default_18 = None 2024-06-26T05:20:02.3697573Z _frozen_param7 = self._frozen_param7 2024-06-26T05:20:02.3699996Z dequantize_per_tensor_default_19 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param7, 0.014249389991164207, 0, -127, 127, torch.int8); _frozen_param7 = None 2024-06-26T05:20:02.3702367Z features_2_block_2_0_weight_bias = self.features_2_block_2_0_weight_bias 2024-06-26T05:20:02.3705434Z conv2d_7 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_18, dequantize_per_tensor_default_19, features_2_block_2_0_weight_bias); dequantize_per_tensor_default_18 = dequantize_per_tensor_default_19 = features_2_block_2_0_weight_bias = None 2024-06-26T05:20:02.3709552Z quantize_per_tensor_default_20 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_7, 0.0718260332942009, 30, -128, 127, torch.int8); conv2d_7 = None 2024-06-26T05:20:02.3713009Z dequantize_per_tensor_default_166 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_20, 0.0718260332942009, 30, -128, 127, torch.int8) 2024-06-26T05:20:02.3716957Z dequantize_per_tensor_default_165 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_20, 0.0718260332942009, 30, -128, 127, torch.int8); quantize_per_tensor_default_20 = None 2024-06-26T05:20:02.3719396Z _frozen_param8 = self._frozen_param8 2024-06-26T05:20:02.3721827Z dequantize_per_tensor_default_21 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param8, 0.00496926112100482, 0, -127, 127, torch.int8); _frozen_param8 = None 2024-06-26T05:20:02.3724201Z features_3_block_0_0_weight_bias = self.features_3_block_0_0_weight_bias 2024-06-26T05:20:02.3727224Z conv2d_8 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_165, dequantize_per_tensor_default_21, features_3_block_0_0_weight_bias); dequantize_per_tensor_default_165 = dequantize_per_tensor_default_21 = features_3_block_0_0_weight_bias = None 2024-06-26T05:20:02.3730165Z relu__3 = torch.ops.aten.relu_.default(conv2d_8); conv2d_8 = None 2024-06-26T05:20:02.3732575Z quantize_per_tensor_default_22 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu__3, 0.014371058903634548, -128, -128, 127, torch.int8); relu__3 = None 2024-06-26T05:20:02.3736437Z dequantize_per_tensor_default_22 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_22, 0.014371058903634548, -128, -128, 127, torch.int8); quantize_per_tensor_default_22 = None 2024-06-26T05:20:02.3738850Z _frozen_param9 = self._frozen_param9 2024-06-26T05:20:02.3741252Z dequantize_per_tensor_default_23 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param9, 0.08777822554111481, 0, -127, 127, torch.int8); _frozen_param9 = None 2024-06-26T05:20:02.3743600Z features_3_block_1_0_weight_bias = self.features_3_block_1_0_weight_bias 2024-06-26T05:20:02.3746753Z conv2d_9 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_22, dequantize_per_tensor_default_23, features_3_block_1_0_weight_bias, [1, 1], [1, 1], [1, 1], 88); dequantize_per_tensor_default_22 = dequantize_per_tensor_default_23 = features_3_block_1_0_weight_bias = None 2024-06-26T05:20:02.3749927Z relu__4 = torch.ops.aten.relu_.default(conv2d_9); conv2d_9 = None 2024-06-26T05:20:02.3752327Z quantize_per_tensor_default_24 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu__4, 0.016539663076400757, -128, -128, 127, torch.int8); relu__4 = None 2024-06-26T05:20:02.3756266Z dequantize_per_tensor_default_24 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_24, 0.016539663076400757, -128, -128, 127, torch.int8); quantize_per_tensor_default_24 = None 2024-06-26T05:20:02.3758784Z _frozen_param10 = self._frozen_param10 2024-06-26T05:20:02.3761178Z dequantize_per_tensor_default_25 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param10, 0.018993781879544258, 0, -127, 127, torch.int8); _frozen_param10 = None 2024-06-26T05:20:02.3763545Z features_3_block_2_0_weight_bias = self.features_3_block_2_0_weight_bias 2024-06-26T05:20:02.3766565Z conv2d_10 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_24, dequantize_per_tensor_default_25, features_3_block_2_0_weight_bias); dequantize_per_tensor_default_24 = dequantize_per_tensor_default_25 = features_3_block_2_0_weight_bias = None 2024-06-26T05:20:02.3770775Z quantize_per_tensor_default_26 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_10, 0.05505416914820671, 3, -128, 127, torch.int8); conv2d_10 = None 2024-06-26T05:20:02.3774635Z dequantize_per_tensor_default_26 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_26, 0.05505416914820671, 3, -128, 127, torch.int8); quantize_per_tensor_default_26 = None 2024-06-26T05:20:02.3778267Z add_ = torch.ops.aten.add_.Tensor(dequantize_per_tensor_default_26, dequantize_per_tensor_default_166); dequantize_per_tensor_default_26 = dequantize_per_tensor_default_166 = None 2024-06-26T05:20:02.3781723Z quantize_per_tensor_default_27 = torch.ops.quantized_decomposed.quantize_per_tensor.default(add_, 0.07785440236330032, 14, -128, 127, torch.int8); add_ = None 2024-06-26T05:20:02.3785521Z dequantize_per_tensor_default_27 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_27, 0.07785440236330032, 14, -128, 127, torch.int8); quantize_per_tensor_default_27 = None 2024-06-26T05:20:02.3787975Z _frozen_param11 = self._frozen_param11 2024-06-26T05:20:02.3790344Z dequantize_per_tensor_default_28 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param11, 0.01391826756298542, 0, -127, 127, torch.int8); _frozen_param11 = None 2024-06-26T05:20:02.3792703Z features_4_block_0_0_weight_bias = self.features_4_block_0_0_weight_bias 2024-06-26T05:20:02.3795708Z conv2d_11 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_27, dequantize_per_tensor_default_28, features_4_block_0_0_weight_bias); dequantize_per_tensor_default_27 = dequantize_per_tensor_default_28 = features_4_block_0_0_weight_bias = None 2024-06-26T05:20:02.3799955Z quantize_per_tensor_default_29 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_11, 0.06801324337720871, 10, -128, 127, torch.int8); conv2d_11 = None 2024-06-26T05:20:02.3803840Z dequantize_per_tensor_default_29 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_29, 0.06801324337720871, 10, -128, 127, torch.int8); quantize_per_tensor_default_29 = None 2024-06-26T05:20:02.3807000Z hardswish__1 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_29); dequantize_per_tensor_default_29 = None 2024-06-26T05:20:02.3810115Z quantize_per_tensor_default_30 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__1, 0.032782215625047684, -117, -128, 127, torch.int8); hardswish__1 = None 2024-06-26T05:20:02.3814099Z dequantize_per_tensor_default_30 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_30, 0.032782215625047684, -117, -128, 127, torch.int8); quantize_per_tensor_default_30 = None 2024-06-26T05:20:02.3816575Z _frozen_param12 = self._frozen_param12 2024-06-26T05:20:02.3818929Z dequantize_per_tensor_default_31 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param12, 0.12695422768592834, 0, -127, 127, torch.int8); _frozen_param12 = None 2024-06-26T05:20:02.3821401Z features_4_block_1_0_weight_bias = self.features_4_block_1_0_weight_bias 2024-06-26T05:20:02.3824546Z conv2d_12 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_30, dequantize_per_tensor_default_31, features_4_block_1_0_weight_bias, [2, 2], [2, 2], [1, 1], 96); dequantize_per_tensor_default_30 = dequantize_per_tensor_default_31 = features_4_block_1_0_weight_bias = None 2024-06-26T05:20:02.3828844Z quantize_per_tensor_default_32 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_12, 0.04807135835289955, -20, -128, 127, torch.int8); conv2d_12 = None 2024-06-26T05:20:02.3832711Z dequantize_per_tensor_default_32 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_32, 0.04807135835289955, -20, -128, 127, torch.int8); quantize_per_tensor_default_32 = None 2024-06-26T05:20:02.3835857Z hardswish__2 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_32); dequantize_per_tensor_default_32 = None 2024-06-26T05:20:02.3839067Z quantize_per_tensor_default_33 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__2, 0.0298512801527977, -115, -128, 127, torch.int8); hardswish__2 = None 2024-06-26T05:20:02.3842527Z dequantize_per_tensor_default_168 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_33, 0.0298512801527977, -115, -128, 127, torch.int8) 2024-06-26T05:20:02.3846502Z dequantize_per_tensor_default_167 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_33, 0.0298512801527977, -115, -128, 127, torch.int8); quantize_per_tensor_default_33 = None 2024-06-26T05:20:02.3849913Z adaptive_avg_pool2d_1 = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_167, [1, 1]); dequantize_per_tensor_default_167 = None 2024-06-26T05:20:02.3853511Z quantize_per_tensor_default_34 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d_1, 0.0298512801527977, -115, -128, 127, torch.int8); adaptive_avg_pool2d_1 = None 2024-06-26T05:20:02.3857630Z dequantize_per_tensor_default_34 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_34, 0.0298512801527977, -115, -128, 127, torch.int8); quantize_per_tensor_default_34 = None 2024-06-26T05:20:02.3860098Z _frozen_param13 = self._frozen_param13 2024-06-26T05:20:02.3862453Z dequantize_per_tensor_default_35 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param13, 0.023241082206368446, 0, -127, 127, torch.int8); _frozen_param13 = None 2024-06-26T05:20:02.3864689Z _param_constant38 = self.features_4_block_2_fc1_bias 2024-06-26T05:20:02.3867269Z conv2d_13 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_34, dequantize_per_tensor_default_35, _param_constant38); dequantize_per_tensor_default_34 = dequantize_per_tensor_default_35 = _param_constant38 = None 2024-06-26T05:20:02.3869986Z relu_1 = torch.ops.aten.relu.default(conv2d_13); conv2d_13 = None 2024-06-26T05:20:02.3872340Z quantize_per_tensor_default_36 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu_1, 0.000244140625, -128, -128, 127, torch.int8); relu_1 = None 2024-06-26T05:20:02.3876080Z dequantize_per_tensor_default_36 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_36, 0.000244140625, -128, -128, 127, torch.int8); quantize_per_tensor_default_36 = None 2024-06-26T05:20:02.3878524Z _frozen_param14 = self._frozen_param14 2024-06-26T05:20:02.3880978Z dequantize_per_tensor_default_37 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param14, 0.009259029291570187, 0, -127, 127, torch.int8); _frozen_param14 = None 2024-06-26T05:20:02.3883170Z _param_constant40 = self.features_4_block_2_fc2_bias 2024-06-26T05:20:02.3885756Z conv2d_14 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_36, dequantize_per_tensor_default_37, _param_constant40); dequantize_per_tensor_default_36 = dequantize_per_tensor_default_37 = _param_constant40 = None 2024-06-26T05:20:02.3889726Z quantize_per_tensor_default_38 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_14, 0.012354371137917042, 25, -128, 127, torch.int8); conv2d_14 = None 2024-06-26T05:20:02.3893599Z dequantize_per_tensor_default_38 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_38, 0.012354371137917042, 25, -128, 127, torch.int8); quantize_per_tensor_default_38 = None 2024-06-26T05:20:02.3896820Z hardsigmoid_1 = torch.ops.aten.hardsigmoid.default(dequantize_per_tensor_default_38); dequantize_per_tensor_default_38 = None 2024-06-26T05:20:02.3900078Z quantize_per_tensor_default_39 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardsigmoid_1, 0.0027818952221423388, -128, -128, 127, torch.int8); hardsigmoid_1 = None 2024-06-26T05:20:02.3904187Z dequantize_per_tensor_default_39 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_39, 0.0027818952221423388, -128, -128, 127, torch.int8); quantize_per_tensor_default_39 = None 2024-06-26T05:20:02.3907876Z mul_1 = torch.ops.aten.mul.Tensor(dequantize_per_tensor_default_39, dequantize_per_tensor_default_168); dequantize_per_tensor_default_39 = dequantize_per_tensor_default_168 = None 2024-06-26T05:20:02.3911310Z quantize_per_tensor_default_40 = torch.ops.quantized_decomposed.quantize_per_tensor.default(mul_1, 0.016827085986733437, -113, -128, 127, torch.int8); mul_1 = None 2024-06-26T05:20:02.3915139Z dequantize_per_tensor_default_40 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_40, 0.016827085986733437, -113, -128, 127, torch.int8); quantize_per_tensor_default_40 = None 2024-06-26T05:20:02.3917544Z _frozen_param15 = self._frozen_param15 2024-06-26T05:20:02.3920095Z dequantize_per_tensor_default_41 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param15, 0.009915303438901901, 0, -127, 127, torch.int8); _frozen_param15 = None 2024-06-26T05:20:02.3922478Z features_4_block_3_0_weight_bias = self.features_4_block_3_0_weight_bias 2024-06-26T05:20:02.3925485Z conv2d_15 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_40, dequantize_per_tensor_default_41, features_4_block_3_0_weight_bias); dequantize_per_tensor_default_40 = dequantize_per_tensor_default_41 = features_4_block_3_0_weight_bias = None 2024-06-26T05:20:02.3929612Z quantize_per_tensor_default_42 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_15, 0.023389454931020737, 6, -128, 127, torch.int8); conv2d_15 = None 2024-06-26T05:20:02.3933080Z dequantize_per_tensor_default_170 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_42, 0.023389454931020737, 6, -128, 127, torch.int8) 2024-06-26T05:20:02.3937033Z dequantize_per_tensor_default_169 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_42, 0.023389454931020737, 6, -128, 127, torch.int8); quantize_per_tensor_default_42 = None 2024-06-26T05:20:02.3939400Z _frozen_param16 = self._frozen_param16 2024-06-26T05:20:02.3941852Z dequantize_per_tensor_default_43 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param16, 0.009469963610172272, 0, -127, 127, torch.int8); _frozen_param16 = None 2024-06-26T05:20:02.3944202Z features_5_block_0_0_weight_bias = self.features_5_block_0_0_weight_bias 2024-06-26T05:20:02.3947235Z conv2d_16 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_169, dequantize_per_tensor_default_43, features_5_block_0_0_weight_bias); dequantize_per_tensor_default_169 = dequantize_per_tensor_default_43 = features_5_block_0_0_weight_bias = None 2024-06-26T05:20:02.3951435Z quantize_per_tensor_default_44 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_16, 0.030381519347429276, 52, -128, 127, torch.int8); conv2d_16 = None 2024-06-26T05:20:02.3955380Z dequantize_per_tensor_default_44 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_44, 0.030381519347429276, 52, -128, 127, torch.int8); quantize_per_tensor_default_44 = None 2024-06-26T05:20:02.3958628Z hardswish__3 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_44); dequantize_per_tensor_default_44 = None 2024-06-26T05:20:02.3961710Z quantize_per_tensor_default_45 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__3, 0.009325562044978142, -88, -128, 127, torch.int8); hardswish__3 = None 2024-06-26T05:20:02.3965652Z dequantize_per_tensor_default_45 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_45, 0.009325562044978142, -88, -128, 127, torch.int8); quantize_per_tensor_default_45 = None 2024-06-26T05:20:02.3968023Z _frozen_param17 = self._frozen_param17 2024-06-26T05:20:02.3970486Z dequantize_per_tensor_default_46 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param17, 0.29110556840896606, 0, -127, 127, torch.int8); _frozen_param17 = None 2024-06-26T05:20:02.3972852Z features_5_block_1_0_weight_bias = self.features_5_block_1_0_weight_bias 2024-06-26T05:20:02.3975993Z conv2d_17 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_45, dequantize_per_tensor_default_46, features_5_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 240); dequantize_per_tensor_default_45 = dequantize_per_tensor_default_46 = features_5_block_1_0_weight_bias = None 2024-06-26T05:20:02.3980327Z quantize_per_tensor_default_47 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_17, 0.04927137866616249, -27, -128, 127, torch.int8); conv2d_17 = None 2024-06-26T05:20:02.3984219Z dequantize_per_tensor_default_47 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_47, 0.04927137866616249, -27, -128, 127, torch.int8); quantize_per_tensor_default_47 = None 2024-06-26T05:20:02.3987439Z hardswish__4 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_47); dequantize_per_tensor_default_47 = None 2024-06-26T05:20:02.3990533Z quantize_per_tensor_default_48 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__4, 0.031156430020928383, -116, -128, 127, torch.int8); hardswish__4 = None 2024-06-26T05:20:02.3994103Z dequantize_per_tensor_default_172 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_48, 0.031156430020928383, -116, -128, 127, torch.int8) 2024-06-26T05:20:02.3998170Z dequantize_per_tensor_default_171 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_48, 0.031156430020928383, -116, -128, 127, torch.int8); quantize_per_tensor_default_48 = None 2024-06-26T05:20:02.4001612Z adaptive_avg_pool2d_2 = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_171, [1, 1]); dequantize_per_tensor_default_171 = None 2024-06-26T05:20:02.4005127Z quantize_per_tensor_default_49 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d_2, 0.031156430020928383, -116, -128, 127, torch.int8); adaptive_avg_pool2d_2 = None 2024-06-26T05:20:02.4009271Z dequantize_per_tensor_default_49 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_49, 0.031156430020928383, -116, -128, 127, torch.int8); quantize_per_tensor_default_49 = None 2024-06-26T05:20:02.4011675Z _frozen_param18 = self._frozen_param18 2024-06-26T05:20:02.4014054Z dequantize_per_tensor_default_50 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param18, 0.02302936650812626, 0, -127, 127, torch.int8); _frozen_param18 = None 2024-06-26T05:20:02.4016297Z _param_constant51 = self.features_5_block_2_fc1_bias 2024-06-26T05:20:02.4018880Z conv2d_18 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_49, dequantize_per_tensor_default_50, _param_constant51); dequantize_per_tensor_default_49 = dequantize_per_tensor_default_50 = _param_constant51 = None 2024-06-26T05:20:02.4021688Z relu_2 = torch.ops.aten.relu.default(conv2d_18); conv2d_18 = None 2024-06-26T05:20:02.4024122Z quantize_per_tensor_default_51 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu_2, 0.015201752074062824, -128, -128, 127, torch.int8); relu_2 = None 2024-06-26T05:20:02.4027957Z dequantize_per_tensor_default_51 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_51, 0.015201752074062824, -128, -128, 127, torch.int8); quantize_per_tensor_default_51 = None 2024-06-26T05:20:02.4030374Z _frozen_param19 = self._frozen_param19 2024-06-26T05:20:02.4032732Z dequantize_per_tensor_default_52 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param19, 0.024587249383330345, 0, -127, 127, torch.int8); _frozen_param19 = None 2024-06-26T05:20:02.4034939Z _param_constant53 = self.features_5_block_2_fc2_bias 2024-06-26T05:20:02.4037583Z conv2d_19 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_51, dequantize_per_tensor_default_52, _param_constant53); dequantize_per_tensor_default_51 = dequantize_per_tensor_default_52 = _param_constant53 = None 2024-06-26T05:20:02.4041532Z quantize_per_tensor_default_53 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_19, 0.035624612122774124, 20, -128, 127, torch.int8); conv2d_19 = None 2024-06-26T05:20:02.4045408Z dequantize_per_tensor_default_53 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_53, 0.035624612122774124, 20, -128, 127, torch.int8); quantize_per_tensor_default_53 = None 2024-06-26T05:20:02.4048636Z hardsigmoid_2 = torch.ops.aten.hardsigmoid.default(dequantize_per_tensor_default_53); dequantize_per_tensor_default_53 = None 2024-06-26T05:20:02.4051819Z quantize_per_tensor_default_54 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardsigmoid_2, 0.003919653594493866, -128, -128, 127, torch.int8); hardsigmoid_2 = None 2024-06-26T05:20:02.4055889Z dequantize_per_tensor_default_54 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_54, 0.003919653594493866, -128, -128, 127, torch.int8); quantize_per_tensor_default_54 = None 2024-06-26T05:20:02.4059547Z mul_2 = torch.ops.aten.mul.Tensor(dequantize_per_tensor_default_54, dequantize_per_tensor_default_172); dequantize_per_tensor_default_54 = dequantize_per_tensor_default_172 = None 2024-06-26T05:20:02.4063022Z quantize_per_tensor_default_55 = torch.ops.quantized_decomposed.quantize_per_tensor.default(mul_2, 0.005049227736890316, -54, -128, 127, torch.int8); mul_2 = None 2024-06-26T05:20:02.4066863Z dequantize_per_tensor_default_55 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_55, 0.005049227736890316, -54, -128, 127, torch.int8); quantize_per_tensor_default_55 = None 2024-06-26T05:20:02.4069261Z _frozen_param20 = self._frozen_param20 2024-06-26T05:20:02.4071617Z dequantize_per_tensor_default_56 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param20, 0.03421241044998169, 0, -127, 127, torch.int8); _frozen_param20 = None 2024-06-26T05:20:02.4074000Z features_5_block_3_0_weight_bias = self.features_5_block_3_0_weight_bias 2024-06-26T05:20:02.4077014Z conv2d_20 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_55, dequantize_per_tensor_default_56, features_5_block_3_0_weight_bias); dequantize_per_tensor_default_55 = dequantize_per_tensor_default_56 = features_5_block_3_0_weight_bias = None 2024-06-26T05:20:02.4081297Z quantize_per_tensor_default_57 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_20, 0.018019428476691246, -1, -128, 127, torch.int8); conv2d_20 = None 2024-06-26T05:20:02.4085201Z dequantize_per_tensor_default_57 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_57, 0.018019428476691246, -1, -128, 127, torch.int8); quantize_per_tensor_default_57 = None 2024-06-26T05:20:02.4088908Z add__1 = torch.ops.aten.add_.Tensor(dequantize_per_tensor_default_57, dequantize_per_tensor_default_170); dequantize_per_tensor_default_57 = dequantize_per_tensor_default_170 = None 2024-06-26T05:20:02.4092330Z quantize_per_tensor_default_58 = torch.ops.quantized_decomposed.quantize_per_tensor.default(add__1, 0.027667397633194923, 3, -128, 127, torch.int8); add__1 = None 2024-06-26T05:20:02.4095754Z dequantize_per_tensor_default_174 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_58, 0.027667397633194923, 3, -128, 127, torch.int8) 2024-06-26T05:20:02.4099710Z dequantize_per_tensor_default_173 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_58, 0.027667397633194923, 3, -128, 127, torch.int8); quantize_per_tensor_default_58 = None 2024-06-26T05:20:02.4102168Z _frozen_param21 = self._frozen_param21 2024-06-26T05:20:02.4104613Z dequantize_per_tensor_default_59 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param21, 0.004709577653557062, 0, -127, 127, torch.int8); _frozen_param21 = None 2024-06-26T05:20:02.4106982Z features_6_block_0_0_weight_bias = self.features_6_block_0_0_weight_bias 2024-06-26T05:20:02.4110006Z conv2d_21 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_173, dequantize_per_tensor_default_59, features_6_block_0_0_weight_bias); dequantize_per_tensor_default_173 = dequantize_per_tensor_default_59 = features_6_block_0_0_weight_bias = None 2024-06-26T05:20:02.4114146Z quantize_per_tensor_default_60 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_21, 0.02671457640826702, 30, -128, 127, torch.int8); conv2d_21 = None 2024-06-26T05:20:02.4118099Z dequantize_per_tensor_default_60 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_60, 0.02671457640826702, 30, -128, 127, torch.int8); quantize_per_tensor_default_60 = None 2024-06-26T05:20:02.4121320Z hardswish__5 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_60); dequantize_per_tensor_default_60 = None 2024-06-26T05:20:02.4124423Z quantize_per_tensor_default_61 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__5, 0.011707295663654804, -96, -128, 127, torch.int8); hardswish__5 = None 2024-06-26T05:20:02.4128375Z dequantize_per_tensor_default_61 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_61, 0.011707295663654804, -96, -128, 127, torch.int8); quantize_per_tensor_default_61 = None 2024-06-26T05:20:02.4130772Z _frozen_param22 = self._frozen_param22 2024-06-26T05:20:02.4133140Z dequantize_per_tensor_default_62 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param22, 0.22559306025505066, 0, -127, 127, torch.int8); _frozen_param22 = None 2024-06-26T05:20:02.4135509Z features_6_block_1_0_weight_bias = self.features_6_block_1_0_weight_bias 2024-06-26T05:20:02.4138676Z conv2d_22 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_61, dequantize_per_tensor_default_62, features_6_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 240); dequantize_per_tensor_default_61 = dequantize_per_tensor_default_62 = features_6_block_1_0_weight_bias = None 2024-06-26T05:20:02.4143016Z quantize_per_tensor_default_63 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_22, 0.0482591949403286, -4, -128, 127, torch.int8); conv2d_22 = None 2024-06-26T05:20:02.4146865Z dequantize_per_tensor_default_63 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_63, 0.0482591949403286, -4, -128, 127, torch.int8); quantize_per_tensor_default_63 = None 2024-06-26T05:20:02.4150091Z hardswish__6 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_63); dequantize_per_tensor_default_63 = None 2024-06-26T05:20:02.4153183Z quantize_per_tensor_default_64 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__6, 0.03135485202074051, -116, -128, 127, torch.int8); hardswish__6 = None 2024-06-26T05:20:02.4156773Z dequantize_per_tensor_default_176 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_64, 0.03135485202074051, -116, -128, 127, torch.int8) 2024-06-26T05:20:02.4160917Z dequantize_per_tensor_default_175 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_64, 0.03135485202074051, -116, -128, 127, torch.int8); quantize_per_tensor_default_64 = None 2024-06-26T05:20:02.4164371Z adaptive_avg_pool2d_3 = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_175, [1, 1]); dequantize_per_tensor_default_175 = None 2024-06-26T05:20:02.4167908Z quantize_per_tensor_default_65 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d_3, 0.03135485202074051, -116, -128, 127, torch.int8); adaptive_avg_pool2d_3 = None 2024-06-26T05:20:02.4172093Z dequantize_per_tensor_default_65 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_65, 0.03135485202074051, -116, -128, 127, torch.int8); quantize_per_tensor_default_65 = None 2024-06-26T05:20:02.4174479Z _frozen_param23 = self._frozen_param23 2024-06-26T05:20:02.4176857Z dequantize_per_tensor_default_66 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param23, 0.013339489698410034, 0, -127, 127, torch.int8); _frozen_param23 = None 2024-06-26T05:20:02.4179045Z _param_constant64 = self.features_6_block_2_fc1_bias 2024-06-26T05:20:02.4181685Z conv2d_23 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_65, dequantize_per_tensor_default_66, _param_constant64); dequantize_per_tensor_default_65 = dequantize_per_tensor_default_66 = _param_constant64 = None 2024-06-26T05:20:02.4184378Z relu_3 = torch.ops.aten.relu.default(conv2d_23); conv2d_23 = None 2024-06-26T05:20:02.4186875Z quantize_per_tensor_default_67 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu_3, 0.007360432296991348, -128, -128, 127, torch.int8); relu_3 = None 2024-06-26T05:20:02.4190759Z dequantize_per_tensor_default_67 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_67, 0.007360432296991348, -128, -128, 127, torch.int8); quantize_per_tensor_default_67 = None 2024-06-26T05:20:02.4193150Z _frozen_param24 = self._frozen_param24 2024-06-26T05:20:02.4195493Z dequantize_per_tensor_default_68 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param24, 0.020886452868580818, 0, -127, 127, torch.int8); _frozen_param24 = None 2024-06-26T05:20:02.4197697Z _param_constant66 = self.features_6_block_2_fc2_bias 2024-06-26T05:20:02.4200339Z conv2d_24 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_67, dequantize_per_tensor_default_68, _param_constant66); dequantize_per_tensor_default_67 = dequantize_per_tensor_default_68 = _param_constant66 = None 2024-06-26T05:20:02.4204237Z quantize_per_tensor_default_69 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_24, 0.025485847145318985, 13, -128, 127, torch.int8); conv2d_24 = None 2024-06-26T05:20:02.4208123Z dequantize_per_tensor_default_69 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_69, 0.025485847145318985, 13, -128, 127, torch.int8); quantize_per_tensor_default_69 = None 2024-06-26T05:20:02.4211452Z hardsigmoid_3 = torch.ops.aten.hardsigmoid.default(dequantize_per_tensor_default_69); dequantize_per_tensor_default_69 = None 2024-06-26T05:20:02.4214742Z quantize_per_tensor_default_70 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardsigmoid_3, 0.0038670676294714212, -128, -128, 127, torch.int8); hardsigmoid_3 = None 2024-06-26T05:20:02.4218764Z dequantize_per_tensor_default_70 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_70, 0.0038670676294714212, -128, -128, 127, torch.int8); quantize_per_tensor_default_70 = None 2024-06-26T05:20:02.4222552Z mul_3 = torch.ops.aten.mul.Tensor(dequantize_per_tensor_default_70, dequantize_per_tensor_default_176); dequantize_per_tensor_default_70 = dequantize_per_tensor_default_176 = None 2024-06-26T05:20:02.4225951Z quantize_per_tensor_default_71 = torch.ops.quantized_decomposed.quantize_per_tensor.default(mul_3, 0.006863838993012905, -80, -128, 127, torch.int8); mul_3 = None 2024-06-26T05:20:02.4229774Z dequantize_per_tensor_default_71 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_71, 0.006863838993012905, -80, -128, 127, torch.int8); quantize_per_tensor_default_71 = None 2024-06-26T05:20:02.4232170Z _frozen_param25 = self._frozen_param25 2024-06-26T05:20:02.4234526Z dequantize_per_tensor_default_72 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param25, 0.03715989366173744, 0, -127, 127, torch.int8); _frozen_param25 = None 2024-06-26T05:20:02.4236966Z features_6_block_3_0_weight_bias = self.features_6_block_3_0_weight_bias 2024-06-26T05:20:02.4240056Z conv2d_25 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_71, dequantize_per_tensor_default_72, features_6_block_3_0_weight_bias); dequantize_per_tensor_default_71 = dequantize_per_tensor_default_72 = features_6_block_3_0_weight_bias = None 2024-06-26T05:20:02.4244210Z quantize_per_tensor_default_73 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_25, 0.03623475506901741, -28, -128, 127, torch.int8); conv2d_25 = None 2024-06-26T05:20:02.4248105Z dequantize_per_tensor_default_73 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_73, 0.03623475506901741, -28, -128, 127, torch.int8); quantize_per_tensor_default_73 = None 2024-06-26T05:20:02.4251746Z add__2 = torch.ops.aten.add_.Tensor(dequantize_per_tensor_default_73, dequantize_per_tensor_default_174); dequantize_per_tensor_default_73 = dequantize_per_tensor_default_174 = None 2024-06-26T05:20:02.4255223Z quantize_per_tensor_default_74 = torch.ops.quantized_decomposed.quantize_per_tensor.default(add__2, 0.0407610684633255, -25, -128, 127, torch.int8); add__2 = None 2024-06-26T05:20:02.4259010Z dequantize_per_tensor_default_74 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_74, 0.0407610684633255, -25, -128, 127, torch.int8); quantize_per_tensor_default_74 = None 2024-06-26T05:20:02.4261440Z _frozen_param26 = self._frozen_param26 2024-06-26T05:20:02.4263792Z dequantize_per_tensor_default_75 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param26, 0.008141666650772095, 0, -127, 127, torch.int8); _frozen_param26 = None 2024-06-26T05:20:02.4266179Z features_7_block_0_0_weight_bias = self.features_7_block_0_0_weight_bias 2024-06-26T05:20:02.4269179Z conv2d_26 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_74, dequantize_per_tensor_default_75, features_7_block_0_0_weight_bias); dequantize_per_tensor_default_74 = dequantize_per_tensor_default_75 = features_7_block_0_0_weight_bias = None 2024-06-26T05:20:02.4273340Z quantize_per_tensor_default_76 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_26, 0.041501469910144806, -22, -128, 127, torch.int8); conv2d_26 = None 2024-06-26T05:20:02.4277212Z dequantize_per_tensor_default_76 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_76, 0.041501469910144806, -22, -128, 127, torch.int8); quantize_per_tensor_default_76 = None 2024-06-26T05:20:02.4280524Z hardswish__7 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_76); dequantize_per_tensor_default_76 = None 2024-06-26T05:20:02.4283617Z quantize_per_tensor_default_77 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__7, 0.02565867081284523, -113, -128, 127, torch.int8); hardswish__7 = None 2024-06-26T05:20:02.4287591Z dequantize_per_tensor_default_77 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_77, 0.02565867081284523, -113, -128, 127, torch.int8); quantize_per_tensor_default_77 = None 2024-06-26T05:20:02.4290051Z _frozen_param27 = self._frozen_param27 2024-06-26T05:20:02.4292409Z dequantize_per_tensor_default_78 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param27, 0.24098145961761475, 0, -127, 127, torch.int8); _frozen_param27 = None 2024-06-26T05:20:02.4294759Z features_7_block_1_0_weight_bias = self.features_7_block_1_0_weight_bias 2024-06-26T05:20:02.4297923Z conv2d_27 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_77, dequantize_per_tensor_default_78, features_7_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 120); dequantize_per_tensor_default_77 = dequantize_per_tensor_default_78 = features_7_block_1_0_weight_bias = None 2024-06-26T05:20:02.4302323Z quantize_per_tensor_default_79 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_27, 0.0395459420979023, -24, -128, 127, torch.int8); conv2d_27 = None 2024-06-26T05:20:02.4306167Z dequantize_per_tensor_default_79 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_79, 0.0395459420979023, -24, -128, 127, torch.int8); quantize_per_tensor_default_79 = None 2024-06-26T05:20:02.4309324Z hardswish__8 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_79); dequantize_per_tensor_default_79 = None 2024-06-26T05:20:02.4312417Z quantize_per_tensor_default_80 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__8, 0.02488207258284092, -113, -128, 127, torch.int8); hardswish__8 = None 2024-06-26T05:20:02.4316002Z dequantize_per_tensor_default_178 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_80, 0.02488207258284092, -113, -128, 127, torch.int8) 2024-06-26T05:20:02.4320125Z dequantize_per_tensor_default_177 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_80, 0.02488207258284092, -113, -128, 127, torch.int8); quantize_per_tensor_default_80 = None 2024-06-26T05:20:02.4323585Z adaptive_avg_pool2d_4 = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_177, [1, 1]); dequantize_per_tensor_default_177 = None 2024-06-26T05:20:02.4327093Z quantize_per_tensor_default_81 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d_4, 0.02488207258284092, -113, -128, 127, torch.int8); adaptive_avg_pool2d_4 = None 2024-06-26T05:20:02.4331198Z dequantize_per_tensor_default_81 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_81, 0.02488207258284092, -113, -128, 127, torch.int8); quantize_per_tensor_default_81 = None 2024-06-26T05:20:02.4333568Z _frozen_param28 = self._frozen_param28 2024-06-26T05:20:02.4335941Z dequantize_per_tensor_default_82 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param28, 0.02133479155600071, 0, -127, 127, torch.int8); _frozen_param28 = None 2024-06-26T05:20:02.4338148Z _param_constant77 = self.features_7_block_2_fc1_bias 2024-06-26T05:20:02.4340786Z conv2d_28 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_81, dequantize_per_tensor_default_82, _param_constant77); dequantize_per_tensor_default_81 = dequantize_per_tensor_default_82 = _param_constant77 = None 2024-06-26T05:20:02.4343483Z relu_4 = torch.ops.aten.relu.default(conv2d_28); conv2d_28 = None 2024-06-26T05:20:02.4345911Z quantize_per_tensor_default_83 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu_4, 0.023468464612960815, -128, -128, 127, torch.int8); relu_4 = None 2024-06-26T05:20:02.4349843Z dequantize_per_tensor_default_83 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_83, 0.023468464612960815, -128, -128, 127, torch.int8); quantize_per_tensor_default_83 = None 2024-06-26T05:20:02.4352258Z _frozen_param29 = self._frozen_param29 2024-06-26T05:20:02.4354687Z dequantize_per_tensor_default_84 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param29, 0.015290362760424614, 0, -127, 127, torch.int8); _frozen_param29 = None 2024-06-26T05:20:02.4356901Z _param_constant79 = self.features_7_block_2_fc2_bias 2024-06-26T05:20:02.4359559Z conv2d_29 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_83, dequantize_per_tensor_default_84, _param_constant79); dequantize_per_tensor_default_83 = dequantize_per_tensor_default_84 = _param_constant79 = None 2024-06-26T05:20:02.4363480Z quantize_per_tensor_default_85 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_29, 0.030527016147971153, 2, -128, 127, torch.int8); conv2d_29 = None 2024-06-26T05:20:02.4367364Z dequantize_per_tensor_default_85 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_85, 0.030527016147971153, 2, -128, 127, torch.int8); quantize_per_tensor_default_85 = None 2024-06-26T05:20:02.4370634Z hardsigmoid_4 = torch.ops.aten.hardsigmoid.default(dequantize_per_tensor_default_85); dequantize_per_tensor_default_85 = None 2024-06-26T05:20:02.4373814Z quantize_per_tensor_default_86 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardsigmoid_4, 0.003919653594493866, -128, -128, 127, torch.int8); hardsigmoid_4 = None 2024-06-26T05:20:02.4377805Z dequantize_per_tensor_default_86 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_86, 0.003919653594493866, -128, -128, 127, torch.int8); quantize_per_tensor_default_86 = None 2024-06-26T05:20:02.4381560Z mul_4 = torch.ops.aten.mul.Tensor(dequantize_per_tensor_default_86, dequantize_per_tensor_default_178); dequantize_per_tensor_default_86 = dequantize_per_tensor_default_178 = None 2024-06-26T05:20:02.4384959Z quantize_per_tensor_default_87 = torch.ops.quantized_decomposed.quantize_per_tensor.default(mul_4, 0.01619456522166729, -105, -128, 127, torch.int8); mul_4 = None 2024-06-26T05:20:02.4388872Z dequantize_per_tensor_default_87 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_87, 0.01619456522166729, -105, -128, 127, torch.int8); quantize_per_tensor_default_87 = None 2024-06-26T05:20:02.4391270Z _frozen_param30 = self._frozen_param30 2024-06-26T05:20:02.4393635Z dequantize_per_tensor_default_88 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param30, 0.0081296656280756, 0, -127, 127, torch.int8); _frozen_param30 = None 2024-06-26T05:20:02.4395976Z features_7_block_3_0_weight_bias = self.features_7_block_3_0_weight_bias 2024-06-26T05:20:02.4399041Z conv2d_30 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_87, dequantize_per_tensor_default_88, features_7_block_3_0_weight_bias); dequantize_per_tensor_default_87 = dequantize_per_tensor_default_88 = features_7_block_3_0_weight_bias = None 2024-06-26T05:20:02.4403210Z quantize_per_tensor_default_89 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_30, 0.024070139974355698, 22, -128, 127, torch.int8); conv2d_30 = None 2024-06-26T05:20:02.4406711Z dequantize_per_tensor_default_180 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_89, 0.024070139974355698, 22, -128, 127, torch.int8) 2024-06-26T05:20:02.4410686Z dequantize_per_tensor_default_179 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_89, 0.024070139974355698, 22, -128, 127, torch.int8); quantize_per_tensor_default_89 = None 2024-06-26T05:20:02.4413139Z _frozen_param31 = self._frozen_param31 2024-06-26T05:20:02.4415532Z dequantize_per_tensor_default_90 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param31, 0.004416964948177338, 0, -127, 127, torch.int8); _frozen_param31 = None 2024-06-26T05:20:02.4417914Z features_8_block_0_0_weight_bias = self.features_8_block_0_0_weight_bias 2024-06-26T05:20:02.4420982Z conv2d_31 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_179, dequantize_per_tensor_default_90, features_8_block_0_0_weight_bias); dequantize_per_tensor_default_179 = dequantize_per_tensor_default_90 = features_8_block_0_0_weight_bias = None 2024-06-26T05:20:02.4425226Z quantize_per_tensor_default_91 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_31, 0.025641022250056267, 21, -128, 127, torch.int8); conv2d_31 = None 2024-06-26T05:20:02.4429114Z dequantize_per_tensor_default_91 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_91, 0.025641022250056267, 21, -128, 127, torch.int8); quantize_per_tensor_default_91 = None 2024-06-26T05:20:02.4432295Z hardswish__9 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_91); dequantize_per_tensor_default_91 = None 2024-06-26T05:20:02.4435465Z quantize_per_tensor_default_92 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__9, 0.011949035339057446, -97, -128, 127, torch.int8); hardswish__9 = None 2024-06-26T05:20:02.4439455Z dequantize_per_tensor_default_92 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_92, 0.011949035339057446, -97, -128, 127, torch.int8); quantize_per_tensor_default_92 = None 2024-06-26T05:20:02.4441862Z _frozen_param32 = self._frozen_param32 2024-06-26T05:20:02.4444231Z dequantize_per_tensor_default_93 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param32, 0.16769732534885406, 0, -127, 127, torch.int8); _frozen_param32 = None 2024-06-26T05:20:02.4446592Z features_8_block_1_0_weight_bias = self.features_8_block_1_0_weight_bias 2024-06-26T05:20:02.4449726Z conv2d_32 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_92, dequantize_per_tensor_default_93, features_8_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 144); dequantize_per_tensor_default_92 = dequantize_per_tensor_default_93 = features_8_block_1_0_weight_bias = None 2024-06-26T05:20:02.4454096Z quantize_per_tensor_default_94 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_32, 0.048460617661476135, -29, -128, 127, torch.int8); conv2d_32 = None 2024-06-26T05:20:02.4458018Z dequantize_per_tensor_default_94 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_94, 0.048460617661476135, -29, -128, 127, torch.int8); quantize_per_tensor_default_94 = None 2024-06-26T05:20:02.4461295Z hardswish__10 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_94); dequantize_per_tensor_default_94 = None 2024-06-26T05:20:02.4464438Z quantize_per_tensor_default_95 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__10, 0.03118317574262619, -116, -128, 127, torch.int8); hardswish__10 = None 2024-06-26T05:20:02.4468021Z dequantize_per_tensor_default_182 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_95, 0.03118317574262619, -116, -128, 127, torch.int8) 2024-06-26T05:20:02.4472010Z dequantize_per_tensor_default_181 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_95, 0.03118317574262619, -116, -128, 127, torch.int8); quantize_per_tensor_default_95 = None 2024-06-26T05:20:02.4475447Z adaptive_avg_pool2d_5 = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_181, [1, 1]); dequantize_per_tensor_default_181 = None 2024-06-26T05:20:02.4479027Z quantize_per_tensor_default_96 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d_5, 0.03118317574262619, -116, -128, 127, torch.int8); adaptive_avg_pool2d_5 = None 2024-06-26T05:20:02.4483201Z dequantize_per_tensor_default_96 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_96, 0.03118317574262619, -116, -128, 127, torch.int8); quantize_per_tensor_default_96 = None 2024-06-26T05:20:02.4485616Z _frozen_param33 = self._frozen_param33 2024-06-26T05:20:02.4488073Z dequantize_per_tensor_default_97 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param33, 0.012662169523537159, 0, -127, 127, torch.int8); _frozen_param33 = None 2024-06-26T05:20:02.4490274Z _param_constant90 = self.features_8_block_2_fc1_bias 2024-06-26T05:20:02.4492828Z conv2d_33 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_96, dequantize_per_tensor_default_97, _param_constant90); dequantize_per_tensor_default_96 = dequantize_per_tensor_default_97 = _param_constant90 = None 2024-06-26T05:20:02.4495542Z relu_5 = torch.ops.aten.relu.default(conv2d_33); conv2d_33 = None 2024-06-26T05:20:02.4497971Z quantize_per_tensor_default_98 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu_5, 0.007088127546012402, -128, -128, 127, torch.int8); relu_5 = None 2024-06-26T05:20:02.4501940Z dequantize_per_tensor_default_98 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_98, 0.007088127546012402, -128, -128, 127, torch.int8); quantize_per_tensor_default_98 = None 2024-06-26T05:20:02.4504334Z _frozen_param34 = self._frozen_param34 2024-06-26T05:20:02.4506714Z dequantize_per_tensor_default_99 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param34, 0.010558309964835644, 0, -127, 127, torch.int8); _frozen_param34 = None 2024-06-26T05:20:02.4508911Z _param_constant92 = self.features_8_block_2_fc2_bias 2024-06-26T05:20:02.4511476Z conv2d_34 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_98, dequantize_per_tensor_default_99, _param_constant92); dequantize_per_tensor_default_98 = dequantize_per_tensor_default_99 = _param_constant92 = None 2024-06-26T05:20:02.4515400Z quantize_per_tensor_default_100 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_34, 0.026264198124408722, 3, -128, 127, torch.int8); conv2d_34 = None 2024-06-26T05:20:02.4519470Z dequantize_per_tensor_default_100 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_100, 0.026264198124408722, 3, -128, 127, torch.int8); quantize_per_tensor_default_100 = None 2024-06-26T05:20:02.4522743Z hardsigmoid_5 = torch.ops.aten.hardsigmoid.default(dequantize_per_tensor_default_100); dequantize_per_tensor_default_100 = None 2024-06-26T05:20:02.4525964Z quantize_per_tensor_default_101 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardsigmoid_5, 0.003919653594493866, -128, -128, 127, torch.int8); hardsigmoid_5 = None 2024-06-26T05:20:02.4529979Z dequantize_per_tensor_default_101 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_101, 0.003919653594493866, -128, -128, 127, torch.int8); quantize_per_tensor_default_101 = None 2024-06-26T05:20:02.4533704Z mul_5 = torch.ops.aten.mul.Tensor(dequantize_per_tensor_default_101, dequantize_per_tensor_default_182); dequantize_per_tensor_default_101 = dequantize_per_tensor_default_182 = None 2024-06-26T05:20:02.4537153Z quantize_per_tensor_default_102 = torch.ops.quantized_decomposed.quantize_per_tensor.default(mul_5, 0.004916020669043064, -59, -128, 127, torch.int8); mul_5 = None 2024-06-26T05:20:02.4541082Z dequantize_per_tensor_default_102 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_102, 0.004916020669043064, -59, -128, 127, torch.int8); quantize_per_tensor_default_102 = None 2024-06-26T05:20:02.4543488Z _frozen_param35 = self._frozen_param35 2024-06-26T05:20:02.4545848Z dequantize_per_tensor_default_103 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param35, 0.026196502149105072, 0, -127, 127, torch.int8); _frozen_param35 = None 2024-06-26T05:20:02.4548290Z features_8_block_3_0_weight_bias = self.features_8_block_3_0_weight_bias 2024-06-26T05:20:02.4551313Z conv2d_35 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_102, dequantize_per_tensor_default_103, features_8_block_3_0_weight_bias); dequantize_per_tensor_default_102 = dequantize_per_tensor_default_103 = features_8_block_3_0_weight_bias = None 2024-06-26T05:20:02.4555548Z quantize_per_tensor_default_104 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_35, 0.02248125523328781, -22, -128, 127, torch.int8); conv2d_35 = None 2024-06-26T05:20:02.4559518Z dequantize_per_tensor_default_104 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_104, 0.02248125523328781, -22, -128, 127, torch.int8); quantize_per_tensor_default_104 = None 2024-06-26T05:20:02.4563229Z add__3 = torch.ops.aten.add_.Tensor(dequantize_per_tensor_default_104, dequantize_per_tensor_default_180); dequantize_per_tensor_default_104 = dequantize_per_tensor_default_180 = None 2024-06-26T05:20:02.4566682Z quantize_per_tensor_default_105 = torch.ops.quantized_decomposed.quantize_per_tensor.default(add__3, 0.031199263408780098, 15, -128, 127, torch.int8); add__3 = None 2024-06-26T05:20:02.4570607Z dequantize_per_tensor_default_105 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_105, 0.031199263408780098, 15, -128, 127, torch.int8); quantize_per_tensor_default_105 = None 2024-06-26T05:20:02.4573016Z _frozen_param36 = self._frozen_param36 2024-06-26T05:20:02.4575378Z dequantize_per_tensor_default_106 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param36, 0.00884885061532259, 0, -127, 127, torch.int8); _frozen_param36 = None 2024-06-26T05:20:02.4577755Z features_9_block_0_0_weight_bias = self.features_9_block_0_0_weight_bias 2024-06-26T05:20:02.4580857Z conv2d_36 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_105, dequantize_per_tensor_default_106, features_9_block_0_0_weight_bias); dequantize_per_tensor_default_105 = dequantize_per_tensor_default_106 = features_9_block_0_0_weight_bias = None 2024-06-26T05:20:02.4585104Z quantize_per_tensor_default_107 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_36, 0.03163875266909599, 24, -128, 127, torch.int8); conv2d_36 = None 2024-06-26T05:20:02.4588967Z dequantize_per_tensor_default_107 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_107, 0.03163875266909599, 24, -128, 127, torch.int8); quantize_per_tensor_default_107 = None 2024-06-26T05:20:02.4592190Z hardswish__11 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_107); dequantize_per_tensor_default_107 = None 2024-06-26T05:20:02.4595352Z quantize_per_tensor_default_108 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__11, 0.01833176054060459, -108, -128, 127, torch.int8); hardswish__11 = None 2024-06-26T05:20:02.4599425Z dequantize_per_tensor_default_108 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_108, 0.01833176054060459, -108, -128, 127, torch.int8); quantize_per_tensor_default_108 = None 2024-06-26T05:20:02.4601832Z _frozen_param37 = self._frozen_param37 2024-06-26T05:20:02.4604236Z dequantize_per_tensor_default_109 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param37, 0.07351506501436234, 0, -127, 127, torch.int8); _frozen_param37 = None 2024-06-26T05:20:02.4606608Z features_9_block_1_0_weight_bias = self.features_9_block_1_0_weight_bias 2024-06-26T05:20:02.4609794Z conv2d_37 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_108, dequantize_per_tensor_default_109, features_9_block_1_0_weight_bias, [2, 2], [2, 2], [1, 1], 288); dequantize_per_tensor_default_108 = dequantize_per_tensor_default_109 = features_9_block_1_0_weight_bias = None 2024-06-26T05:20:02.4614183Z quantize_per_tensor_default_110 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_37, 0.024372998625040054, 21, -128, 127, torch.int8); conv2d_37 = None 2024-06-26T05:20:02.4618108Z dequantize_per_tensor_default_110 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_110, 0.024372998625040054, 21, -128, 127, torch.int8); quantize_per_tensor_default_110 = None 2024-06-26T05:20:02.4621473Z hardswish__12 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_110); dequantize_per_tensor_default_110 = None 2024-06-26T05:20:02.4624616Z quantize_per_tensor_default_111 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__12, 0.01140967570245266, -95, -128, 127, torch.int8); hardswish__12 = None 2024-06-26T05:20:02.4628179Z dequantize_per_tensor_default_184 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_111, 0.01140967570245266, -95, -128, 127, torch.int8) 2024-06-26T05:20:02.4632165Z dequantize_per_tensor_default_183 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_111, 0.01140967570245266, -95, -128, 127, torch.int8); quantize_per_tensor_default_111 = None 2024-06-26T05:20:02.4635691Z adaptive_avg_pool2d_6 = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_183, [1, 1]); dequantize_per_tensor_default_183 = None 2024-06-26T05:20:02.4639261Z quantize_per_tensor_default_112 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d_6, 0.01140967570245266, -95, -128, 127, torch.int8); adaptive_avg_pool2d_6 = None 2024-06-26T05:20:02.4643392Z dequantize_per_tensor_default_112 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_112, 0.01140967570245266, -95, -128, 127, torch.int8); quantize_per_tensor_default_112 = None 2024-06-26T05:20:02.4645798Z _frozen_param38 = self._frozen_param38 2024-06-26T05:20:02.4648175Z dequantize_per_tensor_default_113 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param38, 0.010171673260629177, 0, -127, 127, torch.int8); _frozen_param38 = None 2024-06-26T05:20:02.4650396Z _param_constant103 = self.features_9_block_2_fc1_bias 2024-06-26T05:20:02.4653092Z conv2d_38 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_112, dequantize_per_tensor_default_113, _param_constant103); dequantize_per_tensor_default_112 = dequantize_per_tensor_default_113 = _param_constant103 = None 2024-06-26T05:20:02.4655834Z relu_6 = torch.ops.aten.relu.default(conv2d_38); conv2d_38 = None 2024-06-26T05:20:02.4658278Z quantize_per_tensor_default_114 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu_6, 0.009128252975642681, -128, -128, 127, torch.int8); relu_6 = None 2024-06-26T05:20:02.4662222Z dequantize_per_tensor_default_114 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_114, 0.009128252975642681, -128, -128, 127, torch.int8); quantize_per_tensor_default_114 = None 2024-06-26T05:20:02.4664653Z _frozen_param39 = self._frozen_param39 2024-06-26T05:20:02.4667031Z dequantize_per_tensor_default_115 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param39, 0.009884593077003956, 0, -127, 127, torch.int8); _frozen_param39 = None 2024-06-26T05:20:02.4669243Z _param_constant105 = self.features_9_block_2_fc2_bias 2024-06-26T05:20:02.4671865Z conv2d_39 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_114, dequantize_per_tensor_default_115, _param_constant105); dequantize_per_tensor_default_114 = dequantize_per_tensor_default_115 = _param_constant105 = None 2024-06-26T05:20:02.4675854Z quantize_per_tensor_default_116 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_39, 0.021795842796564102, -18, -128, 127, torch.int8); conv2d_39 = None 2024-06-26T05:20:02.4679936Z dequantize_per_tensor_default_116 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_116, 0.021795842796564102, -18, -128, 127, torch.int8); quantize_per_tensor_default_116 = None 2024-06-26T05:20:02.4683205Z hardsigmoid_6 = torch.ops.aten.hardsigmoid.default(dequantize_per_tensor_default_116); dequantize_per_tensor_default_116 = None 2024-06-26T05:20:02.4686429Z quantize_per_tensor_default_117 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardsigmoid_6, 0.003919846843928099, -128, -128, 127, torch.int8); hardsigmoid_6 = None 2024-06-26T05:20:02.4690557Z dequantize_per_tensor_default_117 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_117, 0.003919846843928099, -128, -128, 127, torch.int8); quantize_per_tensor_default_117 = None 2024-06-26T05:20:02.4694282Z mul_6 = torch.ops.aten.mul.Tensor(dequantize_per_tensor_default_117, dequantize_per_tensor_default_184); dequantize_per_tensor_default_117 = dequantize_per_tensor_default_184 = None 2024-06-26T05:20:02.4697716Z quantize_per_tensor_default_118 = torch.ops.quantized_decomposed.quantize_per_tensor.default(mul_6, 0.004031462594866753, -41, -128, 127, torch.int8); mul_6 = None 2024-06-26T05:20:02.4701705Z dequantize_per_tensor_default_118 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_118, 0.004031462594866753, -41, -128, 127, torch.int8); quantize_per_tensor_default_118 = None 2024-06-26T05:20:02.4704138Z _frozen_param40 = self._frozen_param40 2024-06-26T05:20:02.4706517Z dequantize_per_tensor_default_119 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param40, 0.009600795805454254, 0, -127, 127, torch.int8); _frozen_param40 = None 2024-06-26T05:20:02.4708886Z features_9_block_3_0_weight_bias = self.features_9_block_3_0_weight_bias 2024-06-26T05:20:02.4711946Z conv2d_40 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_118, dequantize_per_tensor_default_119, features_9_block_3_0_weight_bias); dequantize_per_tensor_default_118 = dequantize_per_tensor_default_119 = features_9_block_3_0_weight_bias = None 2024-06-26T05:20:02.4716172Z quantize_per_tensor_default_120 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_40, 0.01110239140689373, -12, -128, 127, torch.int8); conv2d_40 = None 2024-06-26T05:20:02.4719808Z dequantize_per_tensor_default_186 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_120, 0.01110239140689373, -12, -128, 127, torch.int8) 2024-06-26T05:20:02.4723802Z dequantize_per_tensor_default_185 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_120, 0.01110239140689373, -12, -128, 127, torch.int8); quantize_per_tensor_default_120 = None 2024-06-26T05:20:02.4726224Z _frozen_param41 = self._frozen_param41 2024-06-26T05:20:02.4728616Z dequantize_per_tensor_default_121 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param41, 0.008772623725235462, 0, -127, 127, torch.int8); _frozen_param41 = None 2024-06-26T05:20:02.4731012Z features_10_block_0_0_weight_bias = self.features_10_block_0_0_weight_bias 2024-06-26T05:20:02.4734086Z conv2d_41 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_185, dequantize_per_tensor_default_121, features_10_block_0_0_weight_bias); dequantize_per_tensor_default_185 = dequantize_per_tensor_default_121 = features_10_block_0_0_weight_bias = None 2024-06-26T05:20:02.4738332Z quantize_per_tensor_default_122 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_41, 0.019899852573871613, 45, -128, 127, torch.int8); conv2d_41 = None 2024-06-26T05:20:02.4742342Z dequantize_per_tensor_default_122 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_122, 0.019899852573871613, 45, -128, 127, torch.int8); quantize_per_tensor_default_122 = None 2024-06-26T05:20:02.4745575Z hardswish__13 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_122); dequantize_per_tensor_default_122 = None 2024-06-26T05:20:02.4748813Z quantize_per_tensor_default_123 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__13, 0.00641461880877614, -70, -128, 127, torch.int8); hardswish__13 = None 2024-06-26T05:20:02.4752782Z dequantize_per_tensor_default_123 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_123, 0.00641461880877614, -70, -128, 127, torch.int8); quantize_per_tensor_default_123 = None 2024-06-26T05:20:02.4755238Z _frozen_param42 = self._frozen_param42 2024-06-26T05:20:02.4757615Z dequantize_per_tensor_default_124 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param42, 0.14382794499397278, 0, -127, 127, torch.int8); _frozen_param42 = None 2024-06-26T05:20:02.4760091Z features_10_block_1_0_weight_bias = self.features_10_block_1_0_weight_bias 2024-06-26T05:20:02.4763295Z conv2d_42 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_123, dequantize_per_tensor_default_124, features_10_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 576); dequantize_per_tensor_default_123 = dequantize_per_tensor_default_124 = features_10_block_1_0_weight_bias = None 2024-06-26T05:20:02.4767629Z quantize_per_tensor_default_125 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_42, 0.0376562774181366, 18, -128, 127, torch.int8); conv2d_42 = None 2024-06-26T05:20:02.4771599Z dequantize_per_tensor_default_125 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_125, 0.0376562774181366, 18, -128, 127, torch.int8); quantize_per_tensor_default_125 = None 2024-06-26T05:20:02.4774808Z hardswish__14 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_125); dequantize_per_tensor_default_125 = None 2024-06-26T05:20:02.4777949Z quantize_per_tensor_default_126 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__14, 0.01763603463768959, -107, -128, 127, torch.int8); hardswish__14 = None 2024-06-26T05:20:02.4781617Z dequantize_per_tensor_default_188 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_126, 0.01763603463768959, -107, -128, 127, torch.int8) 2024-06-26T05:20:02.4785688Z dequantize_per_tensor_default_187 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_126, 0.01763603463768959, -107, -128, 127, torch.int8); quantize_per_tensor_default_126 = None 2024-06-26T05:20:02.4789151Z adaptive_avg_pool2d_7 = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_187, [1, 1]); dequantize_per_tensor_default_187 = None 2024-06-26T05:20:02.4792654Z quantize_per_tensor_default_127 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d_7, 0.01763603463768959, -107, -128, 127, torch.int8); adaptive_avg_pool2d_7 = None 2024-06-26T05:20:02.4796771Z dequantize_per_tensor_default_127 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_127, 0.01763603463768959, -107, -128, 127, torch.int8); quantize_per_tensor_default_127 = None 2024-06-26T05:20:02.4799250Z _frozen_param43 = self._frozen_param43 2024-06-26T05:20:02.4801646Z dequantize_per_tensor_default_128 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param43, 0.012263336218893528, 0, -127, 127, torch.int8); _frozen_param43 = None 2024-06-26T05:20:02.4803859Z _param_constant116 = self.features_10_block_2_fc1_bias 2024-06-26T05:20:02.4806477Z conv2d_43 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_127, dequantize_per_tensor_default_128, _param_constant116); dequantize_per_tensor_default_127 = dequantize_per_tensor_default_128 = _param_constant116 = None 2024-06-26T05:20:02.4809230Z relu_7 = torch.ops.aten.relu.default(conv2d_43); conv2d_43 = None 2024-06-26T05:20:02.4811670Z quantize_per_tensor_default_129 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu_7, 0.012923299334943295, -128, -128, 127, torch.int8); relu_7 = None 2024-06-26T05:20:02.4815633Z dequantize_per_tensor_default_129 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_129, 0.012923299334943295, -128, -128, 127, torch.int8); quantize_per_tensor_default_129 = None 2024-06-26T05:20:02.4818053Z _frozen_param44 = self._frozen_param44 2024-06-26T05:20:02.4820536Z dequantize_per_tensor_default_130 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param44, 0.018498629331588745, 0, -127, 127, torch.int8); _frozen_param44 = None 2024-06-26T05:20:02.4822749Z _param_constant118 = self.features_10_block_2_fc2_bias 2024-06-26T05:20:02.4825391Z conv2d_44 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_129, dequantize_per_tensor_default_130, _param_constant118); dequantize_per_tensor_default_129 = dequantize_per_tensor_default_130 = _param_constant118 = None 2024-06-26T05:20:02.4829335Z quantize_per_tensor_default_131 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_44, 0.027909470722079277, 19, -128, 127, torch.int8); conv2d_44 = None 2024-06-26T05:20:02.4833264Z dequantize_per_tensor_default_131 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_131, 0.027909470722079277, 19, -128, 127, torch.int8); quantize_per_tensor_default_131 = None 2024-06-26T05:20:02.4836609Z hardsigmoid_7 = torch.ops.aten.hardsigmoid.default(dequantize_per_tensor_default_131); dequantize_per_tensor_default_131 = None 2024-06-26T05:20:02.4839919Z quantize_per_tensor_default_132 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardsigmoid_7, 0.003919653594493866, -128, -128, 127, torch.int8); hardsigmoid_7 = None 2024-06-26T05:20:02.4843939Z dequantize_per_tensor_default_132 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_132, 0.003919653594493866, -128, -128, 127, torch.int8); quantize_per_tensor_default_132 = None 2024-06-26T05:20:02.4847662Z mul_7 = torch.ops.aten.mul.Tensor(dequantize_per_tensor_default_132, dequantize_per_tensor_default_188); dequantize_per_tensor_default_132 = dequantize_per_tensor_default_188 = None 2024-06-26T05:20:02.4851106Z quantize_per_tensor_default_133 = torch.ops.quantized_decomposed.quantize_per_tensor.default(mul_7, 0.0032222322188317776, -12, -128, 127, torch.int8); mul_7 = None 2024-06-26T05:20:02.4855116Z dequantize_per_tensor_default_133 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_133, 0.0032222322188317776, -12, -128, 127, torch.int8); quantize_per_tensor_default_133 = None 2024-06-26T05:20:02.4857538Z _frozen_param45 = self._frozen_param45 2024-06-26T05:20:02.4859980Z dequantize_per_tensor_default_134 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param45, 0.018573224544525146, 0, -127, 127, torch.int8); _frozen_param45 = None 2024-06-26T05:20:02.4862394Z features_10_block_3_0_weight_bias = self.features_10_block_3_0_weight_bias 2024-06-26T05:20:02.4865474Z conv2d_45 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_133, dequantize_per_tensor_default_134, features_10_block_3_0_weight_bias); dequantize_per_tensor_default_133 = dequantize_per_tensor_default_134 = features_10_block_3_0_weight_bias = None 2024-06-26T05:20:02.4869689Z quantize_per_tensor_default_135 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_45, 0.00877588801085949, 10, -128, 127, torch.int8); conv2d_45 = None 2024-06-26T05:20:02.4873552Z dequantize_per_tensor_default_135 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_135, 0.00877588801085949, 10, -128, 127, torch.int8); quantize_per_tensor_default_135 = None 2024-06-26T05:20:02.4877229Z add__4 = torch.ops.aten.add_.Tensor(dequantize_per_tensor_default_135, dequantize_per_tensor_default_186); dequantize_per_tensor_default_135 = dequantize_per_tensor_default_186 = None 2024-06-26T05:20:02.4880819Z quantize_per_tensor_default_136 = torch.ops.quantized_decomposed.quantize_per_tensor.default(add__4, 0.014860447496175766, 0, -128, 127, torch.int8); add__4 = None 2024-06-26T05:20:02.4884245Z dequantize_per_tensor_default_190 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_136, 0.014860447496175766, 0, -128, 127, torch.int8) 2024-06-26T05:20:02.4888293Z dequantize_per_tensor_default_189 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_136, 0.014860447496175766, 0, -128, 127, torch.int8); quantize_per_tensor_default_136 = None 2024-06-26T05:20:02.4890688Z _frozen_param46 = self._frozen_param46 2024-06-26T05:20:02.4893065Z dequantize_per_tensor_default_137 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param46, 0.00417760293930769, 0, -127, 127, torch.int8); _frozen_param46 = None 2024-06-26T05:20:02.4895461Z features_11_block_0_0_weight_bias = self.features_11_block_0_0_weight_bias 2024-06-26T05:20:02.4898521Z conv2d_46 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_189, dequantize_per_tensor_default_137, features_11_block_0_0_weight_bias); dequantize_per_tensor_default_189 = dequantize_per_tensor_default_137 = features_11_block_0_0_weight_bias = None 2024-06-26T05:20:02.4902846Z quantize_per_tensor_default_138 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_46, 0.0185867790132761, 37, -128, 127, torch.int8); conv2d_46 = None 2024-06-26T05:20:02.4906727Z dequantize_per_tensor_default_138 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_138, 0.0185867790132761, 37, -128, 127, torch.int8); quantize_per_tensor_default_138 = None 2024-06-26T05:20:02.4909925Z hardswish__15 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_138); dequantize_per_tensor_default_138 = None 2024-06-26T05:20:02.4913083Z quantize_per_tensor_default_139 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__15, 0.007042103912681341, -75, -128, 127, torch.int8); hardswish__15 = None 2024-06-26T05:20:02.4917080Z dequantize_per_tensor_default_139 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_139, 0.007042103912681341, -75, -128, 127, torch.int8); quantize_per_tensor_default_139 = None 2024-06-26T05:20:02.4919649Z _frozen_param47 = self._frozen_param47 2024-06-26T05:20:02.4922041Z dequantize_per_tensor_default_140 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param47, 0.14140361547470093, 0, -127, 127, torch.int8); _frozen_param47 = None 2024-06-26T05:20:02.4924428Z features_11_block_1_0_weight_bias = self.features_11_block_1_0_weight_bias 2024-06-26T05:20:02.4927631Z conv2d_47 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_139, dequantize_per_tensor_default_140, features_11_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 576); dequantize_per_tensor_default_139 = dequantize_per_tensor_default_140 = features_11_block_1_0_weight_bias = None 2024-06-26T05:20:02.4931952Z quantize_per_tensor_default_141 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_47, 0.02328273467719555, 6, -128, 127, torch.int8); conv2d_47 = None 2024-06-26T05:20:02.4935831Z dequantize_per_tensor_default_141 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_141, 0.02328273467719555, 6, -128, 127, torch.int8); quantize_per_tensor_default_141 = None 2024-06-26T05:20:02.4939042Z hardswish__16 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_141); dequantize_per_tensor_default_141 = None 2024-06-26T05:20:02.4942227Z quantize_per_tensor_default_142 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__16, 0.01215140800923109, -97, -128, 127, torch.int8); hardswish__16 = None 2024-06-26T05:20:02.4945797Z dequantize_per_tensor_default_192 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_142, 0.01215140800923109, -97, -128, 127, torch.int8) 2024-06-26T05:20:02.4949847Z dequantize_per_tensor_default_191 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_142, 0.01215140800923109, -97, -128, 127, torch.int8); quantize_per_tensor_default_142 = None 2024-06-26T05:20:02.4953285Z adaptive_avg_pool2d_8 = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_191, [1, 1]); dequantize_per_tensor_default_191 = None 2024-06-26T05:20:02.4956849Z quantize_per_tensor_default_143 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d_8, 0.01215140800923109, -97, -128, 127, torch.int8); adaptive_avg_pool2d_8 = None 2024-06-26T05:20:02.4961041Z dequantize_per_tensor_default_143 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_143, 0.01215140800923109, -97, -128, 127, torch.int8); quantize_per_tensor_default_143 = None 2024-06-26T05:20:02.4963451Z _frozen_param48 = self._frozen_param48 2024-06-26T05:20:02.4965847Z dequantize_per_tensor_default_144 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param48, 0.009612107649445534, 0, -127, 127, torch.int8); _frozen_param48 = None 2024-06-26T05:20:02.4968068Z _param_constant129 = self.features_11_block_2_fc1_bias 2024-06-26T05:20:02.4970764Z conv2d_48 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_143, dequantize_per_tensor_default_144, _param_constant129); dequantize_per_tensor_default_143 = dequantize_per_tensor_default_144 = _param_constant129 = None 2024-06-26T05:20:02.4973522Z relu_8 = torch.ops.aten.relu.default(conv2d_48); conv2d_48 = None 2024-06-26T05:20:02.4975960Z quantize_per_tensor_default_145 = torch.ops.quantized_decomposed.quantize_per_tensor.default(relu_8, 0.010896197520196438, -128, -128, 127, torch.int8); relu_8 = None 2024-06-26T05:20:02.4979908Z dequantize_per_tensor_default_145 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_145, 0.010896197520196438, -128, -128, 127, torch.int8); quantize_per_tensor_default_145 = None 2024-06-26T05:20:02.4982330Z _frozen_param49 = self._frozen_param49 2024-06-26T05:20:02.4984766Z dequantize_per_tensor_default_146 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param49, 0.01122909877449274, 0, -127, 127, torch.int8); _frozen_param49 = None 2024-06-26T05:20:02.4986997Z _param_constant131 = self.features_11_block_2_fc2_bias 2024-06-26T05:20:02.4989621Z conv2d_49 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_145, dequantize_per_tensor_default_146, _param_constant131); dequantize_per_tensor_default_145 = dequantize_per_tensor_default_146 = _param_constant131 = None 2024-06-26T05:20:02.4993555Z quantize_per_tensor_default_147 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_49, 0.028667936101555824, 32, -128, 127, torch.int8); conv2d_49 = None 2024-06-26T05:20:02.4997460Z dequantize_per_tensor_default_147 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_147, 0.028667936101555824, 32, -128, 127, torch.int8); quantize_per_tensor_default_147 = None 2024-06-26T05:20:02.5000842Z hardsigmoid_8 = torch.ops.aten.hardsigmoid.default(dequantize_per_tensor_default_147); dequantize_per_tensor_default_147 = None 2024-06-26T05:20:02.5004093Z quantize_per_tensor_default_148 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardsigmoid_8, 0.0037384959869086742, -128, -128, 127, torch.int8); hardsigmoid_8 = None 2024-06-26T05:20:02.5008141Z dequantize_per_tensor_default_148 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_148, 0.0037384959869086742, -128, -128, 127, torch.int8); quantize_per_tensor_default_148 = None 2024-06-26T05:20:02.5011880Z mul_8 = torch.ops.aten.mul.Tensor(dequantize_per_tensor_default_148, dequantize_per_tensor_default_192); dequantize_per_tensor_default_148 = dequantize_per_tensor_default_192 = None 2024-06-26T05:20:02.5015376Z quantize_per_tensor_default_149 = torch.ops.quantized_decomposed.quantize_per_tensor.default(mul_8, 0.004264030139893293, -44, -128, 127, torch.int8); mul_8 = None 2024-06-26T05:20:02.5019265Z dequantize_per_tensor_default_149 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_149, 0.004264030139893293, -44, -128, 127, torch.int8); quantize_per_tensor_default_149 = None 2024-06-26T05:20:02.5021792Z _frozen_param50 = self._frozen_param50 2024-06-26T05:20:02.5024171Z dequantize_per_tensor_default_150 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param50, 0.020246243104338646, 0, -127, 127, torch.int8); _frozen_param50 = None 2024-06-26T05:20:02.5026554Z features_11_block_3_0_weight_bias = self.features_11_block_3_0_weight_bias 2024-06-26T05:20:02.5029605Z conv2d_50 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_149, dequantize_per_tensor_default_150, features_11_block_3_0_weight_bias); dequantize_per_tensor_default_149 = dequantize_per_tensor_default_150 = features_11_block_3_0_weight_bias = None 2024-06-26T05:20:02.5033799Z quantize_per_tensor_default_151 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_50, 0.012517928145825863, -6, -128, 127, torch.int8); conv2d_50 = None 2024-06-26T05:20:02.5037754Z dequantize_per_tensor_default_151 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_151, 0.012517928145825863, -6, -128, 127, torch.int8); quantize_per_tensor_default_151 = None 2024-06-26T05:20:02.5041546Z add__5 = torch.ops.aten.add_.Tensor(dequantize_per_tensor_default_151, dequantize_per_tensor_default_190); dequantize_per_tensor_default_151 = dequantize_per_tensor_default_190 = None 2024-06-26T05:20:02.5044998Z quantize_per_tensor_default_152 = torch.ops.quantized_decomposed.quantize_per_tensor.default(add__5, 0.018566593527793884, -9, -128, 127, torch.int8); add__5 = None 2024-06-26T05:20:02.5048877Z dequantize_per_tensor_default_152 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_152, 0.018566593527793884, -9, -128, 127, torch.int8); quantize_per_tensor_default_152 = None 2024-06-26T05:20:02.5051274Z _frozen_param51 = self._frozen_param51 2024-06-26T05:20:02.5053711Z dequantize_per_tensor_default_153 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param51, 0.009127296507358551, 0, -127, 127, torch.int8); _frozen_param51 = None 2024-06-26T05:20:02.5055974Z features_12_0_weight_bias = self.features_12_0_weight_bias 2024-06-26T05:20:02.5058784Z conv2d_51 = torch.ops.aten.conv2d.default(dequantize_per_tensor_default_152, dequantize_per_tensor_default_153, features_12_0_weight_bias); dequantize_per_tensor_default_152 = dequantize_per_tensor_default_153 = features_12_0_weight_bias = None 2024-06-26T05:20:02.5062918Z quantize_per_tensor_default_154 = torch.ops.quantized_decomposed.quantize_per_tensor.default(conv2d_51, 0.04112740606069565, 26, -128, 127, torch.int8); conv2d_51 = None 2024-06-26T05:20:02.5066786Z dequantize_per_tensor_default_154 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_154, 0.04112740606069565, 26, -128, 127, torch.int8); quantize_per_tensor_default_154 = None 2024-06-26T05:20:02.5070009Z hardswish__17 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_154); dequantize_per_tensor_default_154 = None 2024-06-26T05:20:02.5073157Z quantize_per_tensor_default_155 = torch.ops.quantized_decomposed.quantize_per_tensor.default(hardswish__17, 0.019389724358916283, -109, -128, 127, torch.int8); hardswish__17 = None 2024-06-26T05:20:02.5077200Z dequantize_per_tensor_default_155 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_155, 0.019389724358916283, -109, -128, 127, torch.int8); quantize_per_tensor_default_155 = None 2024-06-26T05:20:02.5080793Z adaptive_avg_pool2d_9 = torch.ops.aten.adaptive_avg_pool2d.default(dequantize_per_tensor_default_155, [1, 1]); dequantize_per_tensor_default_155 = None 2024-06-26T05:20:02.5084328Z quantize_per_tensor_default_156 = torch.ops.quantized_decomposed.quantize_per_tensor.default(adaptive_avg_pool2d_9, 0.019389724358916283, -109, -128, 127, torch.int8); adaptive_avg_pool2d_9 = None 2024-06-26T05:20:02.5088545Z dequantize_per_tensor_default_156 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_156, 0.019389724358916283, -109, -128, 127, torch.int8); quantize_per_tensor_default_156 = None 2024-06-26T05:20:02.5091756Z flatten = torch.ops.aten.flatten.using_ints(dequantize_per_tensor_default_156, 1); dequantize_per_tensor_default_156 = None 2024-06-26T05:20:02.5094756Z quantize_per_tensor_default_157 = torch.ops.quantized_decomposed.quantize_per_tensor.default(flatten, 0.019389724358916283, -109, -128, 127, torch.int8); flatten = None 2024-06-26T05:20:02.5098653Z dequantize_per_tensor_default_157 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_157, 0.019389724358916283, -109, -128, 127, torch.int8); quantize_per_tensor_default_157 = None 2024-06-26T05:20:02.5101136Z _frozen_param52 = self._frozen_param52 2024-06-26T05:20:02.5103579Z dequantize_per_tensor_default_158 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param52, 0.01189471036195755, 0, -127, 127, torch.int8); _frozen_param52 = None 2024-06-26T05:20:02.5105731Z _param_constant139 = self.classifier_0_bias 2024-06-26T05:20:02.5108246Z linear = torch.ops.aten.linear.default(dequantize_per_tensor_default_157, dequantize_per_tensor_default_158, _param_constant139); dequantize_per_tensor_default_157 = dequantize_per_tensor_default_158 = _param_constant139 = None 2024-06-26T05:20:02.5112142Z quantize_per_tensor_default_159 = torch.ops.quantized_decomposed.quantize_per_tensor.default(linear, 0.02772076614201069, 62, -128, 127, torch.int8); linear = None 2024-06-26T05:20:02.5115994Z dequantize_per_tensor_default_159 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_159, 0.02772076614201069, 62, -128, 127, torch.int8); quantize_per_tensor_default_159 = None 2024-06-26T05:20:02.5119352Z hardswish__18 = torch.ops.aten.hardswish_.default(dequantize_per_tensor_default_159); dequantize_per_tensor_default_159 = None 2024-06-26T05:20:02.5121439Z dropout_ = torch.ops.aten.dropout_.default(hardswish__18, 0.2, False); hardswish__18 = None 2024-06-26T05:20:02.5124165Z quantize_per_tensor_default_160 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dropout_, 0.007143733557313681, -76, -128, 127, torch.int8); dropout_ = None 2024-06-26T05:20:02.5128077Z dequantize_per_tensor_default_160 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_160, 0.007143733557313681, -76, -128, 127, torch.int8); quantize_per_tensor_default_160 = None 2024-06-26T05:20:02.5130488Z _frozen_param53 = self._frozen_param53 2024-06-26T05:20:02.5132863Z dequantize_per_tensor_default_161 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(_frozen_param53, 0.005898590665310621, 0, -127, 127, torch.int8); _frozen_param53 = None 2024-06-26T05:20:02.5135000Z _param_constant141 = self.classifier_3_bias 2024-06-26T05:20:02.5137569Z linear_1 = torch.ops.aten.linear.default(dequantize_per_tensor_default_160, dequantize_per_tensor_default_161, _param_constant141); dequantize_per_tensor_default_160 = dequantize_per_tensor_default_161 = _param_constant141 = None 2024-06-26T05:20:02.5141548Z quantize_per_tensor_default_162 = torch.ops.quantized_decomposed.quantize_per_tensor.default(linear_1, 0.03836249187588692, -18, -128, 127, torch.int8); linear_1 = None 2024-06-26T05:20:02.5145436Z dequantize_per_tensor_default_162 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_162, 0.03836249187588692, -18, -128, 127, torch.int8); quantize_per_tensor_default_162 = None 2024-06-26T05:20:02.5148338Z return pytree.tree_unflatten([dequantize_per_tensor_default_162], self._out_spec) 2024-06-26T05:20:02.5149428Z 2024-06-26T05:20:02.5150170Z # To see more debug info, please use `graph_module.print_readable()` 2024-06-26T05:20:03.9570655Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:362: UserWarning: At pre-dispatch tracing, we will assume that any custom op that is marked with CompositeImplicitAutograd and functional are safe to not decompose. We found quantized_decomposed.quantize_per_tensor.default to be one such op. 2024-06-26T05:20:03.9574716Z warnings.warn( 2024-06-26T05:20:03.9593762Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:362: UserWarning: At pre-dispatch tracing, we will assume that any custom op that is marked with CompositeImplicitAutograd and functional are safe to not decompose. We found quantized_decomposed.dequantize_per_tensor.default to be one such op. 2024-06-26T05:20:03.9597334Z warnings.warn( 2024-06-26T05:20:04.6598395Z INFO:root:Core ATen graph: 2024-06-26T05:20:04.6599012Z graph(): 2024-06-26T05:20:04.6600050Z %p_features_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_0_0_weight_bias] 2024-06-26T05:20:04.6602070Z %p_features_1_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_1_block_0_0_weight_bias] 2024-06-26T05:20:04.6603797Z %p_features_1_block_1_fc1_bias : [num_users=1] = placeholder[target=p_features_1_block_1_fc1_bias] 2024-06-26T05:20:04.6605307Z %p_features_1_block_1_fc2_bias : [num_users=1] = placeholder[target=p_features_1_block_1_fc2_bias] 2024-06-26T05:20:04.6606716Z %p_features_1_block_2_0_weight_bias : [num_users=1] = placeholder[target=p_features_1_block_2_0_weight_bias] 2024-06-26T05:20:04.6608433Z %p_features_2_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_2_block_0_0_weight_bias] 2024-06-26T05:20:04.6610055Z %p_features_2_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_2_block_1_0_weight_bias] 2024-06-26T05:20:04.6611627Z %p_features_2_block_2_0_weight_bias : [num_users=1] = placeholder[target=p_features_2_block_2_0_weight_bias] 2024-06-26T05:20:04.6613404Z %p_features_3_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_3_block_0_0_weight_bias] 2024-06-26T05:20:04.6614974Z %p_features_3_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_3_block_1_0_weight_bias] 2024-06-26T05:20:04.6616548Z %p_features_3_block_2_0_weight_bias : [num_users=1] = placeholder[target=p_features_3_block_2_0_weight_bias] 2024-06-26T05:20:04.6618107Z %p_features_4_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_4_block_0_0_weight_bias] 2024-06-26T05:20:04.6619687Z %p_features_4_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_4_block_1_0_weight_bias] 2024-06-26T05:20:04.6621539Z %p_features_4_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_4_block_2_fc1_bias] 2024-06-26T05:20:04.6623006Z %p_features_4_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_4_block_2_fc2_bias] 2024-06-26T05:20:04.6624490Z %p_features_4_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_4_block_3_0_weight_bias] 2024-06-26T05:20:04.6626071Z %p_features_5_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_5_block_0_0_weight_bias] 2024-06-26T05:20:04.6627657Z %p_features_5_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_5_block_1_0_weight_bias] 2024-06-26T05:20:04.6643143Z %p_features_5_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_5_block_2_fc1_bias] 2024-06-26T05:20:04.6644560Z %p_features_5_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_5_block_2_fc2_bias] 2024-06-26T05:20:04.6646192Z %p_features_5_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_5_block_3_0_weight_bias] 2024-06-26T05:20:04.6647809Z %p_features_6_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_6_block_0_0_weight_bias] 2024-06-26T05:20:04.6649416Z %p_features_6_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_6_block_1_0_weight_bias] 2024-06-26T05:20:04.6650976Z %p_features_6_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_6_block_2_fc1_bias] 2024-06-26T05:20:04.6652572Z %p_features_6_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_6_block_2_fc2_bias] 2024-06-26T05:20:04.6654177Z %p_features_6_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_6_block_3_0_weight_bias] 2024-06-26T05:20:04.6655896Z %p_features_7_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_7_block_0_0_weight_bias] 2024-06-26T05:20:04.6657627Z %p_features_7_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_7_block_1_0_weight_bias] 2024-06-26T05:20:04.6659322Z %p_features_7_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_7_block_2_fc1_bias] 2024-06-26T05:20:04.6661076Z %p_features_7_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_7_block_2_fc2_bias] 2024-06-26T05:20:04.6662999Z %p_features_7_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_7_block_3_0_weight_bias] 2024-06-26T05:20:04.6664806Z %p_features_8_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_8_block_0_0_weight_bias] 2024-06-26T05:20:04.6666628Z %p_features_8_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_8_block_1_0_weight_bias] 2024-06-26T05:20:04.6668325Z %p_features_8_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_8_block_2_fc1_bias] 2024-06-26T05:20:04.6669966Z %p_features_8_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_8_block_2_fc2_bias] 2024-06-26T05:20:04.6671698Z %p_features_8_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_8_block_3_0_weight_bias] 2024-06-26T05:20:04.6673528Z %p_features_9_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_9_block_0_0_weight_bias] 2024-06-26T05:20:04.6675343Z %p_features_9_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_9_block_1_0_weight_bias] 2024-06-26T05:20:04.6677208Z %p_features_9_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_9_block_2_fc1_bias] 2024-06-26T05:20:04.6679166Z %p_features_9_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_9_block_2_fc2_bias] 2024-06-26T05:20:04.6680875Z %p_features_9_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_9_block_3_0_weight_bias] 2024-06-26T05:20:04.6682633Z %p_features_10_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_10_block_0_0_weight_bias] 2024-06-26T05:20:04.6684477Z %p_features_10_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_10_block_1_0_weight_bias] 2024-06-26T05:20:04.6686143Z %p_features_10_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_10_block_2_fc1_bias] 2024-06-26T05:20:04.6687864Z %p_features_10_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_10_block_2_fc2_bias] 2024-06-26T05:20:04.6689649Z %p_features_10_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_10_block_3_0_weight_bias] 2024-06-26T05:20:04.6691528Z %p_features_11_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_11_block_0_0_weight_bias] 2024-06-26T05:20:04.6693468Z %p_features_11_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_11_block_1_0_weight_bias] 2024-06-26T05:20:04.6695305Z %p_features_11_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_11_block_2_fc1_bias] 2024-06-26T05:20:04.6697035Z %p_features_11_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_11_block_2_fc2_bias] 2024-06-26T05:20:04.6699037Z %p_features_11_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_11_block_3_0_weight_bias] 2024-06-26T05:20:04.6700915Z %p_features_12_0_weight_bias : [num_users=1] = placeholder[target=p_features_12_0_weight_bias] 2024-06-26T05:20:04.6702421Z %p_classifier_0_bias : [num_users=1] = placeholder[target=p_classifier_0_bias] 2024-06-26T05:20:04.6703944Z %p_classifier_3_bias : [num_users=1] = placeholder[target=p_classifier_3_bias] 2024-06-26T05:20:04.6705247Z %b__frozen_param0 : [num_users=1] = placeholder[target=b__frozen_param0] 2024-06-26T05:20:04.6706518Z %b__frozen_param1 : [num_users=1] = placeholder[target=b__frozen_param1] 2024-06-26T05:20:04.6707800Z %b__frozen_param2 : [num_users=1] = placeholder[target=b__frozen_param2] 2024-06-26T05:20:04.6709076Z %b__frozen_param3 : [num_users=1] = placeholder[target=b__frozen_param3] 2024-06-26T05:20:04.6710330Z %b__frozen_param4 : [num_users=1] = placeholder[target=b__frozen_param4] 2024-06-26T05:20:04.6711606Z %b__frozen_param5 : [num_users=1] = placeholder[target=b__frozen_param5] 2024-06-26T05:20:04.6712862Z %b__frozen_param6 : [num_users=1] = placeholder[target=b__frozen_param6] 2024-06-26T05:20:04.6714101Z %b__frozen_param7 : [num_users=1] = placeholder[target=b__frozen_param7] 2024-06-26T05:20:04.6715493Z %b__frozen_param8 : [num_users=1] = placeholder[target=b__frozen_param8] 2024-06-26T05:20:04.6716785Z %b__frozen_param9 : [num_users=1] = placeholder[target=b__frozen_param9] 2024-06-26T05:20:04.6718225Z %b__frozen_param10 : [num_users=1] = placeholder[target=b__frozen_param10] 2024-06-26T05:20:04.6719506Z %b__frozen_param11 : [num_users=1] = placeholder[target=b__frozen_param11] 2024-06-26T05:20:04.6720820Z %b__frozen_param12 : [num_users=1] = placeholder[target=b__frozen_param12] 2024-06-26T05:20:04.6722137Z %b__frozen_param13 : [num_users=1] = placeholder[target=b__frozen_param13] 2024-06-26T05:20:04.6723443Z %b__frozen_param14 : [num_users=1] = placeholder[target=b__frozen_param14] 2024-06-26T05:20:04.6724740Z %b__frozen_param15 : [num_users=1] = placeholder[target=b__frozen_param15] 2024-06-26T05:20:04.6726034Z %b__frozen_param16 : [num_users=1] = placeholder[target=b__frozen_param16] 2024-06-26T05:20:04.6727344Z %b__frozen_param17 : [num_users=1] = placeholder[target=b__frozen_param17] 2024-06-26T05:20:04.6728831Z %b__frozen_param18 : [num_users=1] = placeholder[target=b__frozen_param18] 2024-06-26T05:20:04.6730146Z %b__frozen_param19 : [num_users=1] = placeholder[target=b__frozen_param19] 2024-06-26T05:20:04.6731429Z %b__frozen_param20 : [num_users=1] = placeholder[target=b__frozen_param20] 2024-06-26T05:20:04.6732739Z %b__frozen_param21 : [num_users=1] = placeholder[target=b__frozen_param21] 2024-06-26T05:20:04.6734048Z %b__frozen_param22 : [num_users=1] = placeholder[target=b__frozen_param22] 2024-06-26T05:20:04.6735348Z %b__frozen_param23 : [num_users=1] = placeholder[target=b__frozen_param23] 2024-06-26T05:20:04.6736613Z %b__frozen_param24 : [num_users=1] = placeholder[target=b__frozen_param24] 2024-06-26T05:20:04.6737919Z %b__frozen_param25 : [num_users=1] = placeholder[target=b__frozen_param25] 2024-06-26T05:20:04.6739236Z %b__frozen_param26 : [num_users=1] = placeholder[target=b__frozen_param26] 2024-06-26T05:20:04.6740627Z %b__frozen_param27 : [num_users=1] = placeholder[target=b__frozen_param27] 2024-06-26T05:20:04.6741929Z %b__frozen_param28 : [num_users=1] = placeholder[target=b__frozen_param28] 2024-06-26T05:20:04.6743225Z %b__frozen_param29 : [num_users=1] = placeholder[target=b__frozen_param29] 2024-06-26T05:20:04.6744538Z %b__frozen_param30 : [num_users=1] = placeholder[target=b__frozen_param30] 2024-06-26T05:20:04.6745830Z %b__frozen_param31 : [num_users=1] = placeholder[target=b__frozen_param31] 2024-06-26T05:20:04.6747125Z %b__frozen_param32 : [num_users=1] = placeholder[target=b__frozen_param32] 2024-06-26T05:20:04.6748576Z %b__frozen_param33 : [num_users=1] = placeholder[target=b__frozen_param33] 2024-06-26T05:20:04.6749876Z %b__frozen_param34 : [num_users=1] = placeholder[target=b__frozen_param34] 2024-06-26T05:20:04.6751188Z %b__frozen_param35 : [num_users=1] = placeholder[target=b__frozen_param35] 2024-06-26T05:20:04.6752495Z %b__frozen_param36 : [num_users=1] = placeholder[target=b__frozen_param36] 2024-06-26T05:20:04.6753934Z %b__frozen_param37 : [num_users=1] = placeholder[target=b__frozen_param37] 2024-06-26T05:20:04.6755223Z %b__frozen_param38 : [num_users=1] = placeholder[target=b__frozen_param38] 2024-06-26T05:20:04.6756529Z %b__frozen_param39 : [num_users=1] = placeholder[target=b__frozen_param39] 2024-06-26T05:20:04.6758002Z %b__frozen_param40 : [num_users=1] = placeholder[target=b__frozen_param40] 2024-06-26T05:20:04.6759252Z %b__frozen_param41 : [num_users=1] = placeholder[target=b__frozen_param41] 2024-06-26T05:20:04.6760556Z %b__frozen_param42 : [num_users=1] = placeholder[target=b__frozen_param42] 2024-06-26T05:20:04.6761872Z %b__frozen_param43 : [num_users=1] = placeholder[target=b__frozen_param43] 2024-06-26T05:20:04.6763159Z %b__frozen_param44 : [num_users=1] = placeholder[target=b__frozen_param44] 2024-06-26T05:20:04.6764458Z %b__frozen_param45 : [num_users=1] = placeholder[target=b__frozen_param45] 2024-06-26T05:20:04.6765886Z %b__frozen_param46 : [num_users=1] = placeholder[target=b__frozen_param46] 2024-06-26T05:20:04.6767220Z %b__frozen_param47 : [num_users=1] = placeholder[target=b__frozen_param47] 2024-06-26T05:20:04.6768531Z %b__frozen_param48 : [num_users=1] = placeholder[target=b__frozen_param48] 2024-06-26T05:20:04.6769826Z %b__frozen_param49 : [num_users=1] = placeholder[target=b__frozen_param49] 2024-06-26T05:20:04.6771125Z %b__frozen_param50 : [num_users=1] = placeholder[target=b__frozen_param50] 2024-06-26T05:20:04.6772390Z %b__frozen_param51 : [num_users=1] = placeholder[target=b__frozen_param51] 2024-06-26T05:20:04.6773687Z %b__frozen_param52 : [num_users=1] = placeholder[target=b__frozen_param52] 2024-06-26T05:20:04.6775004Z %b__frozen_param53 : [num_users=1] = placeholder[target=b__frozen_param53] 2024-06-26T05:20:04.6776084Z %x : [num_users=1] = placeholder[target=x] 2024-06-26T05:20:04.6778805Z %quantize_per_tensor : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%x, 0.032788049429655075, -11, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6782958Z %dequantize_per_tensor : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor, 0.032788049429655075, -11, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6787162Z %dequantize_per_tensor_1 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param0, 0.13800540566444397, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6790851Z %conv2d : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor, %dequantize_per_tensor_1, %p_features_0_0_weight_bias, [2, 2], [1, 1]), kwargs = {}) 2024-06-26T05:20:04.6794695Z %quantize_per_tensor_1 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d, 0.9393326044082642, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6798930Z %dequantize_per_tensor_2 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_1, 0.9393326044082642, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6802193Z %hardswish : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_2,), kwargs = {}) 2024-06-26T05:20:04.6805590Z %quantize_per_tensor_2 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish, 0.44094163179397583, -127, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6809942Z %dequantize_per_tensor_3 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_2, 0.44094163179397583, -127, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6814161Z %dequantize_per_tensor_4 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param1, 0.19347569346427917, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6818153Z %conv2d_1 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_3, %dequantize_per_tensor_4, %p_features_1_block_0_0_weight_bias, [2, 2], [1, 1], [1, 1], 16), kwargs = {}) 2024-06-26T05:20:04.6821136Z %relu : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_1,), kwargs = {}) 2024-06-26T05:20:04.6824228Z %quantize_per_tensor_3 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu, 0.034876748919487, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6828282Z %dequantize_per_tensor_5 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_3, 0.034876748919487, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6832714Z %dequantize_per_tensor_6 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_3, 0.034876748919487, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6836179Z %adaptive_avg_pool2d : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_6, [1, 1]), kwargs = {}) 2024-06-26T05:20:04.6840017Z %quantize_per_tensor_4 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d, 0.034876748919487, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6844265Z %dequantize_per_tensor_7 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_4, 0.034876748919487, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6848544Z %dequantize_per_tensor_8 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param2, 0.000244140625, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6852079Z %conv2d_2 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_7, %dequantize_per_tensor_8, %p_features_1_block_1_fc1_bias), kwargs = {}) 2024-06-26T05:20:04.6854785Z %relu_1 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_2,), kwargs = {}) 2024-06-26T05:20:04.6857857Z %quantize_per_tensor_5 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_1, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6862019Z %dequantize_per_tensor_9 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_5, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6866181Z %dequantize_per_tensor_10 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param3, 0.000244140625, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6869722Z %conv2d_3 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_9, %dequantize_per_tensor_10, %p_features_1_block_1_fc2_bias), kwargs = {}) 2024-06-26T05:20:04.6873577Z %quantize_per_tensor_6 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_3, 0.009770921431481838, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6878299Z %dequantize_per_tensor_11 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_6, 0.009770921431481838, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6880402Z %hardsigmoid : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%dequantize_per_tensor_11,), kwargs = {}) 2024-06-26T05:20:04.6882549Z %quantize_per_tensor_7 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardsigmoid, 0.0028459904715418816, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6884880Z %dequantize_per_tensor_12 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_7, 0.0028459904715418816, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6886732Z %mul : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%dequantize_per_tensor_12, %dequantize_per_tensor_5), kwargs = {}) 2024-06-26T05:20:04.6888606Z %quantize_per_tensor_8 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%mul, 0.01608487404882908, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6890897Z %dequantize_per_tensor_13 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_8, 0.01608487404882908, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6893216Z %dequantize_per_tensor_14 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param4, 0.0519644133746624, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6895248Z %conv2d_4 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_13, %dequantize_per_tensor_14, %p_features_1_block_2_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.6897376Z %quantize_per_tensor_9 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_4, 0.09980341047048569, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6899701Z %dequantize_per_tensor_15 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_9, 0.09980341047048569, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6902111Z %dequantize_per_tensor_16 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param5, 0.007365490775555372, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6904127Z %conv2d_5 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_15, %dequantize_per_tensor_16, %p_features_2_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.6905645Z %relu_2 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_5,), kwargs = {}) 2024-06-26T05:20:04.6907391Z %quantize_per_tensor_10 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_2, 0.037708066403865814, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6909696Z %dequantize_per_tensor_17 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_10, 0.037708066403865814, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6912027Z %dequantize_per_tensor_18 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param6, 0.10758370906114578, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6914166Z %conv2d_6 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_17, %dequantize_per_tensor_18, %p_features_2_block_1_0_weight_bias, [2, 2], [1, 1], [1, 1], 72), kwargs = {}) 2024-06-26T05:20:04.6915861Z %relu_3 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_6,), kwargs = {}) 2024-06-26T05:20:04.6917604Z %quantize_per_tensor_11 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_3, 0.03328622877597809, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6920172Z %dequantize_per_tensor_19 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_11, 0.03328622877597809, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6922487Z %dequantize_per_tensor_20 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param7, 0.014249389991164207, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6924498Z %conv2d_7 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_19, %dequantize_per_tensor_20, %p_features_2_block_2_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.6926670Z %quantize_per_tensor_12 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_7, 0.0718260332942009, 30, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6929230Z %dequantize_per_tensor_21 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_12, 0.0718260332942009, 30, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6931555Z %dequantize_per_tensor_22 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_12, 0.0718260332942009, 30, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6933865Z %dequantize_per_tensor_23 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param8, 0.00496926112100482, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6935880Z %conv2d_8 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_22, %dequantize_per_tensor_23, %p_features_3_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.6937454Z %relu_4 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_8,), kwargs = {}) 2024-06-26T05:20:04.6939173Z %quantize_per_tensor_13 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_4, 0.014371058903634548, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6941524Z %dequantize_per_tensor_24 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_13, 0.014371058903634548, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6943869Z %dequantize_per_tensor_25 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param9, 0.08777822554111481, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6945992Z %conv2d_9 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_24, %dequantize_per_tensor_25, %p_features_3_block_1_0_weight_bias, [1, 1], [1, 1], [1, 1], 88), kwargs = {}) 2024-06-26T05:20:04.6947604Z %relu_5 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_9,), kwargs = {}) 2024-06-26T05:20:04.6949324Z %quantize_per_tensor_14 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_5, 0.016539663076400757, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6951595Z %dequantize_per_tensor_26 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_14, 0.016539663076400757, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6953992Z %dequantize_per_tensor_27 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param10, 0.018993781879544258, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6956068Z %conv2d_10 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_26, %dequantize_per_tensor_27, %p_features_3_block_2_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.6958288Z %quantize_per_tensor_15 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_10, 0.05505416914820671, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6960538Z %dequantize_per_tensor_28 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_15, 0.05505416914820671, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6962344Z %add : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dequantize_per_tensor_28, %dequantize_per_tensor_21), kwargs = {}) 2024-06-26T05:20:04.6964255Z %quantize_per_tensor_16 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%add, 0.07785440236330032, 14, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6966498Z %dequantize_per_tensor_29 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_16, 0.07785440236330032, 14, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6968806Z %dequantize_per_tensor_30 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param11, 0.01391826756298542, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6970795Z %conv2d_11 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_29, %dequantize_per_tensor_30, %p_features_4_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.6972966Z %quantize_per_tensor_17 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_11, 0.06801324337720871, 10, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6975225Z %dequantize_per_tensor_31 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_17, 0.06801324337720871, 10, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6977015Z %hardswish_1 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_31,), kwargs = {}) 2024-06-26T05:20:04.6978891Z %quantize_per_tensor_18 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_1, 0.032782215625047684, -117, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6981259Z %dequantize_per_tensor_32 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_18, 0.032782215625047684, -117, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6983578Z %dequantize_per_tensor_33 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param12, 0.12695422768592834, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6985715Z %conv2d_12 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_32, %dequantize_per_tensor_33, %p_features_4_block_1_0_weight_bias, [2, 2], [2, 2], [1, 1], 96), kwargs = {}) 2024-06-26T05:20:04.6987952Z %quantize_per_tensor_19 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_12, 0.04807135835289955, -20, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6990289Z %dequantize_per_tensor_34 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_19, 0.04807135835289955, -20, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6992077Z %hardswish_2 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_34,), kwargs = {}) 2024-06-26T05:20:04.6994004Z %quantize_per_tensor_20 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_2, 0.0298512801527977, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6996278Z %dequantize_per_tensor_35 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_20, 0.0298512801527977, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.6998722Z %dequantize_per_tensor_36 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_20, 0.0298512801527977, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7000631Z %adaptive_avg_pool2d_1 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_36, [1, 1]), kwargs = {}) 2024-06-26T05:20:04.7002763Z %quantize_per_tensor_21 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d_1, 0.0298512801527977, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7005091Z %dequantize_per_tensor_37 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_21, 0.0298512801527977, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7007398Z %dequantize_per_tensor_38 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param13, 0.023241082206368446, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7009402Z %conv2d_13 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_37, %dequantize_per_tensor_38, %p_features_4_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:20:04.7010954Z %relu_6 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_13,), kwargs = {}) 2024-06-26T05:20:04.7012639Z %quantize_per_tensor_22 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_6, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7014834Z %dequantize_per_tensor_39 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_22, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7017155Z %dequantize_per_tensor_40 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param14, 0.009259029291570187, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7019157Z %conv2d_14 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_39, %dequantize_per_tensor_40, %p_features_4_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:20:04.7021320Z %quantize_per_tensor_23 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_14, 0.012354371137917042, 25, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7023579Z %dequantize_per_tensor_41 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_23, 0.012354371137917042, 25, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7025474Z %hardsigmoid_1 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%dequantize_per_tensor_41,), kwargs = {}) 2024-06-26T05:20:04.7027408Z %quantize_per_tensor_24 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardsigmoid_1, 0.0027818952221423388, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7029722Z %dequantize_per_tensor_42 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_24, 0.0027818952221423388, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7031608Z %mul_1 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%dequantize_per_tensor_42, %dequantize_per_tensor_35), kwargs = {}) 2024-06-26T05:20:04.7033474Z %quantize_per_tensor_25 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%mul_1, 0.016827085986733437, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7035731Z %dequantize_per_tensor_43 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_25, 0.016827085986733437, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7038210Z %dequantize_per_tensor_44 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param15, 0.009915303438901901, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7040227Z %conv2d_15 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_43, %dequantize_per_tensor_44, %p_features_4_block_3_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.7042334Z %quantize_per_tensor_26 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_15, 0.023389454931020737, 6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7044601Z %dequantize_per_tensor_45 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_26, 0.023389454931020737, 6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7047004Z %dequantize_per_tensor_46 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_26, 0.023389454931020737, 6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7049301Z %dequantize_per_tensor_47 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param16, 0.009469963610172272, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7051303Z %conv2d_16 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_46, %dequantize_per_tensor_47, %p_features_5_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.7053406Z %quantize_per_tensor_27 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_16, 0.030381519347429276, 52, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7055672Z %dequantize_per_tensor_48 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_27, 0.030381519347429276, 52, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7057470Z %hardswish_3 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_48,), kwargs = {}) 2024-06-26T05:20:04.7059342Z %quantize_per_tensor_28 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_3, 0.009325562044978142, -88, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7061699Z %dequantize_per_tensor_49 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_28, 0.009325562044978142, -88, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7064052Z %dequantize_per_tensor_50 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param17, 0.29110556840896606, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7066181Z %conv2d_17 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_49, %dequantize_per_tensor_50, %p_features_5_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 240), kwargs = {}) 2024-06-26T05:20:04.7068452Z %quantize_per_tensor_29 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_17, 0.04927137866616249, -27, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7070703Z %dequantize_per_tensor_51 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_29, 0.04927137866616249, -27, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7072494Z %hardswish_4 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_51,), kwargs = {}) 2024-06-26T05:20:04.7074400Z %quantize_per_tensor_30 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_4, 0.031156430020928383, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7076695Z %dequantize_per_tensor_52 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_30, 0.031156430020928383, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7079148Z %dequantize_per_tensor_53 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_30, 0.031156430020928383, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7081063Z %adaptive_avg_pool2d_2 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_53, [1, 1]), kwargs = {}) 2024-06-26T05:20:04.7083105Z %quantize_per_tensor_31 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d_2, 0.031156430020928383, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7085490Z %dequantize_per_tensor_54 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_31, 0.031156430020928383, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7087804Z %dequantize_per_tensor_55 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param18, 0.02302936650812626, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7089794Z %conv2d_18 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_54, %dequantize_per_tensor_55, %p_features_5_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:20:04.7091287Z %relu_7 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_18,), kwargs = {}) 2024-06-26T05:20:04.7092992Z %quantize_per_tensor_32 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_7, 0.015201752074062824, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7095266Z %dequantize_per_tensor_56 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_32, 0.015201752074062824, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7097586Z %dequantize_per_tensor_57 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param19, 0.024587249383330345, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7099630Z %conv2d_19 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_56, %dequantize_per_tensor_57, %p_features_5_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:20:04.7101767Z %quantize_per_tensor_33 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_19, 0.035624612122774124, 20, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7104091Z %dequantize_per_tensor_58 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_33, 0.035624612122774124, 20, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7105910Z %hardsigmoid_2 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%dequantize_per_tensor_58,), kwargs = {}) 2024-06-26T05:20:04.7107823Z %quantize_per_tensor_34 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardsigmoid_2, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7110123Z %dequantize_per_tensor_59 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_34, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7112002Z %mul_2 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%dequantize_per_tensor_59, %dequantize_per_tensor_52), kwargs = {}) 2024-06-26T05:20:04.7113875Z %quantize_per_tensor_35 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%mul_2, 0.005049227736890316, -54, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7116121Z %dequantize_per_tensor_60 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_35, 0.005049227736890316, -54, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7118533Z %dequantize_per_tensor_61 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param20, 0.03421241044998169, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7120594Z %conv2d_20 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_60, %dequantize_per_tensor_61, %p_features_5_block_3_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.7122701Z %quantize_per_tensor_36 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_20, 0.018019428476691246, -1, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7124943Z %dequantize_per_tensor_62 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_36, 0.018019428476691246, -1, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7126766Z %add_1 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dequantize_per_tensor_62, %dequantize_per_tensor_45), kwargs = {}) 2024-06-26T05:20:04.7128633Z %quantize_per_tensor_37 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%add_1, 0.027667397633194923, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7130871Z %dequantize_per_tensor_63 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_37, 0.027667397633194923, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7133185Z %dequantize_per_tensor_64 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_37, 0.027667397633194923, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7135472Z %dequantize_per_tensor_65 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param21, 0.004709577653557062, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7137525Z %conv2d_21 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_64, %dequantize_per_tensor_65, %p_features_6_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.7139628Z %quantize_per_tensor_38 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_21, 0.02671457640826702, 30, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7141980Z %dequantize_per_tensor_66 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_38, 0.02671457640826702, 30, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7143752Z %hardswish_5 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_66,), kwargs = {}) 2024-06-26T05:20:04.7145630Z %quantize_per_tensor_39 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_5, 0.011707295663654804, -96, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7147939Z %dequantize_per_tensor_67 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_39, 0.011707295663654804, -96, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7150250Z %dequantize_per_tensor_68 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param22, 0.22559306025505066, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7152375Z %conv2d_22 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_67, %dequantize_per_tensor_68, %p_features_6_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 240), kwargs = {}) 2024-06-26T05:20:04.7154576Z %quantize_per_tensor_40 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_22, 0.0482591949403286, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7156826Z %dequantize_per_tensor_69 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_40, 0.0482591949403286, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7158763Z %hardswish_6 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_69,), kwargs = {}) 2024-06-26T05:20:04.7160655Z %quantize_per_tensor_41 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_6, 0.03135485202074051, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7162940Z %dequantize_per_tensor_70 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_41, 0.03135485202074051, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7165291Z %dequantize_per_tensor_71 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_41, 0.03135485202074051, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7167204Z %adaptive_avg_pool2d_3 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_71, [1, 1]), kwargs = {}) 2024-06-26T05:20:04.7169251Z %quantize_per_tensor_42 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d_3, 0.03135485202074051, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7171587Z %dequantize_per_tensor_72 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_42, 0.03135485202074051, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7173949Z %dequantize_per_tensor_73 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param23, 0.013339489698410034, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7175928Z %conv2d_23 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_72, %dequantize_per_tensor_73, %p_features_6_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:20:04.7177483Z %relu_8 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_23,), kwargs = {}) 2024-06-26T05:20:04.7179194Z %quantize_per_tensor_43 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_8, 0.007360432296991348, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7181517Z %dequantize_per_tensor_74 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_43, 0.007360432296991348, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7183839Z %dequantize_per_tensor_75 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param24, 0.020886452868580818, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7185864Z %conv2d_24 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_74, %dequantize_per_tensor_75, %p_features_6_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:20:04.7187955Z %quantize_per_tensor_44 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_24, 0.025485847145318985, 13, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7190223Z %dequantize_per_tensor_76 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_44, 0.025485847145318985, 13, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7192027Z %hardsigmoid_3 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%dequantize_per_tensor_76,), kwargs = {}) 2024-06-26T05:20:04.7193935Z %quantize_per_tensor_45 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardsigmoid_3, 0.0038670676294714212, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7196286Z %dequantize_per_tensor_77 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_45, 0.0038670676294714212, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7198228Z %mul_3 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%dequantize_per_tensor_77, %dequantize_per_tensor_70), kwargs = {}) 2024-06-26T05:20:04.7200107Z %quantize_per_tensor_46 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%mul_3, 0.006863838993012905, -80, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7202343Z %dequantize_per_tensor_78 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_46, 0.006863838993012905, -80, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7204638Z %dequantize_per_tensor_79 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param25, 0.03715989366173744, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7206659Z %conv2d_25 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_78, %dequantize_per_tensor_79, %p_features_6_block_3_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.7208769Z %quantize_per_tensor_47 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_25, 0.03623475506901741, -28, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7211059Z %dequantize_per_tensor_80 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_47, 0.03623475506901741, -28, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7212885Z %add_2 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dequantize_per_tensor_80, %dequantize_per_tensor_63), kwargs = {}) 2024-06-26T05:20:04.7214779Z %quantize_per_tensor_48 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%add_2, 0.0407610684633255, -25, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7217008Z %dequantize_per_tensor_81 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_48, 0.0407610684633255, -25, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7219310Z %dequantize_per_tensor_82 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param26, 0.008141666650772095, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7221418Z %conv2d_26 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_81, %dequantize_per_tensor_82, %p_features_7_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.7223583Z %quantize_per_tensor_49 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_26, 0.041501469910144806, -22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7225838Z %dequantize_per_tensor_83 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_49, 0.041501469910144806, -22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7227630Z %hardswish_7 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_83,), kwargs = {}) 2024-06-26T05:20:04.7229515Z %quantize_per_tensor_50 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_7, 0.02565867081284523, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7231846Z %dequantize_per_tensor_84 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_50, 0.02565867081284523, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7234152Z %dequantize_per_tensor_85 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param27, 0.24098145961761475, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7236266Z %conv2d_27 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_84, %dequantize_per_tensor_85, %p_features_7_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 120), kwargs = {}) 2024-06-26T05:20:04.7238638Z %quantize_per_tensor_51 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_27, 0.0395459420979023, -24, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7240894Z %dequantize_per_tensor_86 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_51, 0.0395459420979023, -24, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7242681Z %hardswish_8 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_86,), kwargs = {}) 2024-06-26T05:20:04.7244537Z %quantize_per_tensor_52 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_8, 0.02488207258284092, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7246815Z %dequantize_per_tensor_87 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_52, 0.02488207258284092, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7249216Z %dequantize_per_tensor_88 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_52, 0.02488207258284092, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7251156Z %adaptive_avg_pool2d_4 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_88, [1, 1]), kwargs = {}) 2024-06-26T05:20:04.7253200Z %quantize_per_tensor_53 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d_4, 0.02488207258284092, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7255517Z %dequantize_per_tensor_89 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_53, 0.02488207258284092, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7257824Z %dequantize_per_tensor_90 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param28, 0.02133479155600071, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7259913Z %conv2d_28 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_89, %dequantize_per_tensor_90, %p_features_7_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:20:04.7261402Z %relu_9 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_28,), kwargs = {}) 2024-06-26T05:20:04.7263116Z %quantize_per_tensor_54 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_9, 0.023468464612960815, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7265367Z %dequantize_per_tensor_91 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_54, 0.023468464612960815, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7267726Z %dequantize_per_tensor_92 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param29, 0.015290362760424614, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7269722Z %conv2d_29 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_91, %dequantize_per_tensor_92, %p_features_7_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:20:04.7271803Z %quantize_per_tensor_55 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_29, 0.030527016147971153, 2, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7274040Z %dequantize_per_tensor_93 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_55, 0.030527016147971153, 2, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7275835Z %hardsigmoid_4 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%dequantize_per_tensor_93,), kwargs = {}) 2024-06-26T05:20:04.7277755Z %quantize_per_tensor_56 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardsigmoid_4, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7280149Z %dequantize_per_tensor_94 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_56, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7281984Z %mul_4 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%dequantize_per_tensor_94, %dequantize_per_tensor_87), kwargs = {}) 2024-06-26T05:20:04.7283889Z %quantize_per_tensor_57 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%mul_4, 0.01619456522166729, -105, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7286134Z %dequantize_per_tensor_95 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_57, 0.01619456522166729, -105, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7288523Z %dequantize_per_tensor_96 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param30, 0.0081296656280756, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7290520Z %conv2d_30 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_95, %dequantize_per_tensor_96, %p_features_7_block_3_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.7292641Z %quantize_per_tensor_58 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_30, 0.024070139974355698, 22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7294863Z %dequantize_per_tensor_97 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_58, 0.024070139974355698, 22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7297244Z %dequantize_per_tensor_98 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_58, 0.024070139974355698, 22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7299541Z %dequantize_per_tensor_99 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param31, 0.004416964948177338, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7301628Z %conv2d_31 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_98, %dequantize_per_tensor_99, %p_features_8_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.7303741Z %quantize_per_tensor_59 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_31, 0.025641022250056267, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7306058Z %dequantize_per_tensor_100 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_59, 0.025641022250056267, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7307858Z %hardswish_9 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_100,), kwargs = {}) 2024-06-26T05:20:04.7309726Z %quantize_per_tensor_60 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_9, 0.011949035339057446, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7312019Z %dequantize_per_tensor_101 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_60, 0.011949035339057446, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7314332Z %dequantize_per_tensor_102 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param32, 0.16769732534885406, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7316460Z %conv2d_32 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_101, %dequantize_per_tensor_102, %p_features_8_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 144), kwargs = {}) 2024-06-26T05:20:04.7318801Z %quantize_per_tensor_61 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_32, 0.048460617661476135, -29, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7321125Z %dequantize_per_tensor_103 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_61, 0.048460617661476135, -29, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7322927Z %hardswish_10 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_103,), kwargs = {}) 2024-06-26T05:20:04.7324863Z %quantize_per_tensor_62 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_10, 0.03118317574262619, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7327147Z %dequantize_per_tensor_104 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_62, 0.03118317574262619, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7329503Z %dequantize_per_tensor_105 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_62, 0.03118317574262619, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7331430Z %adaptive_avg_pool2d_5 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_105, [1, 1]), kwargs = {}) 2024-06-26T05:20:04.7333503Z %quantize_per_tensor_63 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d_5, 0.03118317574262619, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7335839Z %dequantize_per_tensor_106 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_63, 0.03118317574262619, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7338152Z %dequantize_per_tensor_107 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param33, 0.012662169523537159, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7340230Z %conv2d_33 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_106, %dequantize_per_tensor_107, %p_features_8_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:20:04.7341776Z %relu_10 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_33,), kwargs = {}) 2024-06-26T05:20:04.7343507Z %quantize_per_tensor_64 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_10, 0.007088127546012402, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7345794Z %dequantize_per_tensor_108 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_64, 0.007088127546012402, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7348122Z %dequantize_per_tensor_109 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param34, 0.010558309964835644, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7350106Z %conv2d_34 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_108, %dequantize_per_tensor_109, %p_features_8_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:20:04.7352206Z %quantize_per_tensor_65 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_34, 0.026264198124408722, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7354461Z %dequantize_per_tensor_110 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_65, 0.026264198124408722, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7356267Z %hardsigmoid_5 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%dequantize_per_tensor_110,), kwargs = {}) 2024-06-26T05:20:04.7358316Z %quantize_per_tensor_66 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardsigmoid_5, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7360625Z %dequantize_per_tensor_111 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_66, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7362512Z %mul_5 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%dequantize_per_tensor_111, %dequantize_per_tensor_104), kwargs = {}) 2024-06-26T05:20:04.7364394Z %quantize_per_tensor_67 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%mul_5, 0.004916020669043064, -59, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7366634Z %dequantize_per_tensor_112 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_67, 0.004916020669043064, -59, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7368987Z %dequantize_per_tensor_113 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param35, 0.026196502149105072, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7371004Z %conv2d_35 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_112, %dequantize_per_tensor_113, %p_features_8_block_3_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.7373126Z %quantize_per_tensor_68 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_35, 0.02248125523328781, -22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7375386Z %dequantize_per_tensor_114 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_68, 0.02248125523328781, -22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7377208Z %add_3 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dequantize_per_tensor_114, %dequantize_per_tensor_97), kwargs = {}) 2024-06-26T05:20:04.7379130Z %quantize_per_tensor_69 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%add_3, 0.031199263408780098, 15, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7381420Z %dequantize_per_tensor_115 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_69, 0.031199263408780098, 15, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7383740Z %dequantize_per_tensor_116 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param36, 0.00884885061532259, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7385780Z %conv2d_36 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_115, %dequantize_per_tensor_116, %p_features_9_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.7387876Z %quantize_per_tensor_70 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_36, 0.03163875266909599, 24, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7390139Z %dequantize_per_tensor_117 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_70, 0.03163875266909599, 24, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7391926Z %hardswish_11 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_117,), kwargs = {}) 2024-06-26T05:20:04.7393857Z %quantize_per_tensor_71 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_11, 0.01833176054060459, -108, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7396153Z %dequantize_per_tensor_118 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_71, 0.01833176054060459, -108, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7398584Z %dequantize_per_tensor_119 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param37, 0.07351506501436234, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7400726Z %conv2d_37 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_118, %dequantize_per_tensor_119, %p_features_9_block_1_0_weight_bias, [2, 2], [2, 2], [1, 1], 288), kwargs = {}) 2024-06-26T05:20:04.7402959Z %quantize_per_tensor_72 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_37, 0.024372998625040054, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7405232Z %dequantize_per_tensor_120 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_72, 0.024372998625040054, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7407080Z %hardswish_12 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_120,), kwargs = {}) 2024-06-26T05:20:04.7408941Z %quantize_per_tensor_73 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_12, 0.01140967570245266, -95, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7411215Z %dequantize_per_tensor_121 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_73, 0.01140967570245266, -95, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7413569Z %dequantize_per_tensor_122 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_73, 0.01140967570245266, -95, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7415519Z %adaptive_avg_pool2d_6 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_122, [1, 1]), kwargs = {}) 2024-06-26T05:20:04.7417559Z %quantize_per_tensor_74 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d_6, 0.01140967570245266, -95, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7419938Z %dequantize_per_tensor_123 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_74, 0.01140967570245266, -95, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7422255Z %dequantize_per_tensor_124 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param38, 0.010171673260629177, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7424264Z %conv2d_38 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_123, %dequantize_per_tensor_124, %p_features_9_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:20:04.7425772Z %relu_11 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_38,), kwargs = {}) 2024-06-26T05:20:04.7427489Z %quantize_per_tensor_75 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_11, 0.009128252975642681, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7429759Z %dequantize_per_tensor_125 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_75, 0.009128252975642681, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7432140Z %dequantize_per_tensor_126 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param39, 0.009884593077003956, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7434147Z %conv2d_39 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_125, %dequantize_per_tensor_126, %p_features_9_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:20:04.7436302Z %quantize_per_tensor_76 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_39, 0.021795842796564102, -18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7438668Z %dequantize_per_tensor_127 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_76, 0.021795842796564102, -18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7440483Z %hardsigmoid_6 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%dequantize_per_tensor_127,), kwargs = {}) 2024-06-26T05:20:04.7442448Z %quantize_per_tensor_77 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardsigmoid_6, 0.003919846843928099, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7444763Z %dequantize_per_tensor_128 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_77, 0.003919846843928099, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7446607Z %mul_6 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%dequantize_per_tensor_128, %dequantize_per_tensor_121), kwargs = {}) 2024-06-26T05:20:04.7448483Z %quantize_per_tensor_78 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%mul_6, 0.004031462594866753, -41, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7450729Z %dequantize_per_tensor_129 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_78, 0.004031462594866753, -41, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7453089Z %dequantize_per_tensor_130 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param40, 0.009600795805454254, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7455119Z %conv2d_40 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_129, %dequantize_per_tensor_130, %p_features_9_block_3_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.7457245Z %quantize_per_tensor_79 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_40, 0.01110239140689373, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7459498Z %dequantize_per_tensor_131 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_79, 0.01110239140689373, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7461913Z %dequantize_per_tensor_132 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_79, 0.01110239140689373, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7464234Z %dequantize_per_tensor_133 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param41, 0.008772623725235462, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7466251Z %conv2d_41 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_132, %dequantize_per_tensor_133, %p_features_10_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.7468411Z %quantize_per_tensor_80 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_41, 0.019899852573871613, 45, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7470649Z %dequantize_per_tensor_134 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_80, 0.019899852573871613, 45, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7472510Z %hardswish_13 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_134,), kwargs = {}) 2024-06-26T05:20:04.7474386Z %quantize_per_tensor_81 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_13, 0.00641461880877614, -70, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7476670Z %dequantize_per_tensor_135 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_81, 0.00641461880877614, -70, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7479072Z %dequantize_per_tensor_136 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param42, 0.14382794499397278, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7481270Z %conv2d_42 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_135, %dequantize_per_tensor_136, %p_features_10_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 576), kwargs = {}) 2024-06-26T05:20:04.7483508Z %quantize_per_tensor_82 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_42, 0.0376562774181366, 18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7485762Z %dequantize_per_tensor_137 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_82, 0.0376562774181366, 18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7487551Z %hardswish_14 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_137,), kwargs = {}) 2024-06-26T05:20:04.7489480Z %quantize_per_tensor_83 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_14, 0.01763603463768959, -107, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7491778Z %dequantize_per_tensor_138 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_83, 0.01763603463768959, -107, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7494146Z %dequantize_per_tensor_139 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_83, 0.01763603463768959, -107, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7496054Z %adaptive_avg_pool2d_7 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_139, [1, 1]), kwargs = {}) 2024-06-26T05:20:04.7498105Z %quantize_per_tensor_84 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d_7, 0.01763603463768959, -107, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7500501Z %dequantize_per_tensor_140 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_84, 0.01763603463768959, -107, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7502819Z %dequantize_per_tensor_141 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param43, 0.012263336218893528, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7504861Z %conv2d_43 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_140, %dequantize_per_tensor_141, %p_features_10_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:20:04.7506363Z %relu_12 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_43,), kwargs = {}) 2024-06-26T05:20:04.7508089Z %quantize_per_tensor_85 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_12, 0.012923299334943295, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7510390Z %dequantize_per_tensor_142 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_85, 0.012923299334943295, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7512721Z %dequantize_per_tensor_143 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param44, 0.018498629331588745, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7514728Z %conv2d_44 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_142, %dequantize_per_tensor_143, %p_features_10_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:20:04.7516850Z %quantize_per_tensor_86 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_44, 0.027909470722079277, 19, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7519217Z %dequantize_per_tensor_144 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_86, 0.027909470722079277, 19, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7521023Z %hardsigmoid_7 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%dequantize_per_tensor_144,), kwargs = {}) 2024-06-26T05:20:04.7522954Z %quantize_per_tensor_87 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardsigmoid_7, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7525304Z %dequantize_per_tensor_145 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_87, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7527161Z %mul_7 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%dequantize_per_tensor_145, %dequantize_per_tensor_138), kwargs = {}) 2024-06-26T05:20:04.7529045Z %quantize_per_tensor_88 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%mul_7, 0.0032222322188317776, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7531307Z %dequantize_per_tensor_146 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_88, 0.0032222322188317776, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7533635Z %dequantize_per_tensor_147 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param45, 0.018573224544525146, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7535667Z %conv2d_45 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_146, %dequantize_per_tensor_147, %p_features_10_block_3_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.7537787Z %quantize_per_tensor_89 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_45, 0.00877588801085949, 10, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7540082Z %dequantize_per_tensor_148 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_89, 0.00877588801085949, 10, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7541960Z %add_4 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dequantize_per_tensor_148, %dequantize_per_tensor_131), kwargs = {}) 2024-06-26T05:20:04.7543843Z %quantize_per_tensor_90 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%add_4, 0.014860447496175766, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7546120Z %dequantize_per_tensor_149 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_90, 0.014860447496175766, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7548452Z %dequantize_per_tensor_150 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_90, 0.014860447496175766, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7550746Z %dequantize_per_tensor_151 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param46, 0.00417760293930769, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7552804Z %conv2d_46 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_150, %dequantize_per_tensor_151, %p_features_11_block_0_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.7554923Z %quantize_per_tensor_91 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_46, 0.0185867790132761, 37, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7557168Z %dequantize_per_tensor_152 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_91, 0.0185867790132761, 37, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7559050Z %hardswish_15 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_152,), kwargs = {}) 2024-06-26T05:20:04.7560924Z %quantize_per_tensor_92 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_15, 0.007042103912681341, -75, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7563287Z %dequantize_per_tensor_153 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_92, 0.007042103912681341, -75, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7565597Z %dequantize_per_tensor_154 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param47, 0.14140361547470093, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7567733Z %conv2d_47 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_153, %dequantize_per_tensor_154, %p_features_11_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], 576), kwargs = {}) 2024-06-26T05:20:04.7569966Z %quantize_per_tensor_93 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_47, 0.02328273467719555, 6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7572197Z %dequantize_per_tensor_155 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_93, 0.02328273467719555, 6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7573991Z %hardswish_16 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_155,), kwargs = {}) 2024-06-26T05:20:04.7575877Z %quantize_per_tensor_94 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_16, 0.01215140800923109, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7578232Z %dequantize_per_tensor_156 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_94, 0.01215140800923109, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7580639Z %dequantize_per_tensor_157 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_94, 0.01215140800923109, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7582589Z %adaptive_avg_pool2d_8 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_157, [1, 1]), kwargs = {}) 2024-06-26T05:20:04.7584631Z %quantize_per_tensor_95 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d_8, 0.01215140800923109, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7586954Z %dequantize_per_tensor_158 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_95, 0.01215140800923109, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7589273Z %dequantize_per_tensor_159 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param48, 0.009612107649445534, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7591314Z %conv2d_48 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_158, %dequantize_per_tensor_159, %p_features_11_block_2_fc1_bias), kwargs = {}) 2024-06-26T05:20:04.7592812Z %relu_13 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%conv2d_48,), kwargs = {}) 2024-06-26T05:20:04.7594545Z %quantize_per_tensor_96 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%relu_13, 0.010896197520196438, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7596814Z %dequantize_per_tensor_160 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_96, 0.010896197520196438, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7599310Z %dequantize_per_tensor_161 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param49, 0.01122909877449274, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7601300Z %conv2d_49 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_160, %dequantize_per_tensor_161, %p_features_11_block_2_fc2_bias), kwargs = {}) 2024-06-26T05:20:04.7603405Z %quantize_per_tensor_97 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_49, 0.028667936101555824, 32, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7605669Z %dequantize_per_tensor_162 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_97, 0.028667936101555824, 32, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7607485Z %hardsigmoid_8 : [num_users=1] = call_function[target=torch.ops.aten.hardsigmoid.default](args = (%dequantize_per_tensor_162,), kwargs = {}) 2024-06-26T05:20:04.7610005Z %quantize_per_tensor_98 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardsigmoid_8, 0.0037384959869086742, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7612319Z %dequantize_per_tensor_163 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_98, 0.0037384959869086742, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7614174Z %mul_8 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%dequantize_per_tensor_163, %dequantize_per_tensor_156), kwargs = {}) 2024-06-26T05:20:04.7616133Z %quantize_per_tensor_99 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%mul_8, 0.004264030139893293, -44, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7618390Z %dequantize_per_tensor_164 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_99, 0.004264030139893293, -44, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7620828Z %dequantize_per_tensor_165 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param50, 0.020246243104338646, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7622845Z %conv2d_50 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_164, %dequantize_per_tensor_165, %p_features_11_block_3_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.7624979Z %quantize_per_tensor_100 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_50, 0.012517928145825863, -6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7627302Z %dequantize_per_tensor_166 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_100, 0.012517928145825863, -6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7629148Z %add_5 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dequantize_per_tensor_166, %dequantize_per_tensor_149), kwargs = {}) 2024-06-26T05:20:04.7631033Z %quantize_per_tensor_101 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%add_5, 0.018566593527793884, -9, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7633279Z %dequantize_per_tensor_167 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_101, 0.018566593527793884, -9, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7635611Z %dequantize_per_tensor_168 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param51, 0.009127296507358551, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7637656Z %conv2d_51 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%dequantize_per_tensor_167, %dequantize_per_tensor_168, %p_features_12_0_weight_bias), kwargs = {}) 2024-06-26T05:20:04.7639863Z %quantize_per_tensor_102 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%conv2d_51, 0.04112740606069565, 26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7642137Z %dequantize_per_tensor_169 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_102, 0.04112740606069565, 26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7643920Z %hardswish_17 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_169,), kwargs = {}) 2024-06-26T05:20:04.7645818Z %quantize_per_tensor_103 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_17, 0.019389724358916283, -109, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7648139Z %dequantize_per_tensor_170 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_103, 0.019389724358916283, -109, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7650464Z %adaptive_avg_pool2d_9 : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%dequantize_per_tensor_170, [1, 1]), kwargs = {}) 2024-06-26T05:20:04.7652696Z %quantize_per_tensor_104 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%adaptive_avg_pool2d_9, 0.019389724358916283, -109, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7655055Z %dequantize_per_tensor_171 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_104, 0.019389724358916283, -109, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7656892Z %view : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_tensor_171, [1, 576]), kwargs = {}) 2024-06-26T05:20:04.7658706Z %quantize_per_tensor_105 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%view, 0.019389724358916283, -109, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7661041Z %dequantize_per_tensor_172 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_105, 0.019389724358916283, -109, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7663365Z %dequantize_per_tensor_173 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param52, 0.01189471036195755, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7665350Z %linear : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dequantize_per_tensor_172, %dequantize_per_tensor_173, %p_classifier_0_bias), kwargs = {}) 2024-06-26T05:20:04.7667389Z %quantize_per_tensor_106 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%linear, 0.02772076614201069, 62, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7669636Z %dequantize_per_tensor_174 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_106, 0.02772076614201069, 62, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7671432Z %hardswish_18 : [num_users=1] = call_function[target=torch.ops.aten.hardswish.default](args = (%dequantize_per_tensor_174,), kwargs = {}) 2024-06-26T05:20:04.7673307Z %quantize_per_tensor_107 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%hardswish_18, 0.007143733557313681, -76, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7675656Z %dequantize_per_tensor_175 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_107, 0.007143733557313681, -76, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7678099Z %dequantize_per_tensor_176 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param53, 0.005898590665310621, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7680055Z %linear_1 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dequantize_per_tensor_175, %dequantize_per_tensor_176, %p_classifier_3_bias), kwargs = {}) 2024-06-26T05:20:04.7682104Z %quantize_per_tensor_108 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_tensor.default](args = (%linear_1, 0.03836249187588692, -18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7684375Z %dequantize_per_tensor_177 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantize_per_tensor_108, 0.03836249187588692, -18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:04.7685685Z return (dequantize_per_tensor_177,) 2024-06-26T05:20:08.6017993Z INFO:root:Exported graph: 2024-06-26T05:20:08.6018586Z graph(): 2024-06-26T05:20:08.6019432Z %p_features_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_0_0_weight_bias] 2024-06-26T05:20:08.6021033Z %p_features_1_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_1_block_0_0_weight_bias] 2024-06-26T05:20:08.6022850Z %p_features_1_block_1_fc1_bias : [num_users=1] = placeholder[target=p_features_1_block_1_fc1_bias] 2024-06-26T05:20:08.6024244Z %p_features_1_block_1_fc2_bias : [num_users=1] = placeholder[target=p_features_1_block_1_fc2_bias] 2024-06-26T05:20:08.6025651Z %p_features_1_block_2_0_weight_bias : [num_users=1] = placeholder[target=p_features_1_block_2_0_weight_bias] 2024-06-26T05:20:08.6027341Z %p_features_2_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_2_block_0_0_weight_bias] 2024-06-26T05:20:08.6029110Z %p_features_2_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_2_block_1_0_weight_bias] 2024-06-26T05:20:08.6030894Z %p_features_2_block_2_0_weight_bias : [num_users=1] = placeholder[target=p_features_2_block_2_0_weight_bias] 2024-06-26T05:20:08.6032901Z %p_features_3_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_3_block_0_0_weight_bias] 2024-06-26T05:20:08.6034493Z %p_features_3_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_3_block_1_0_weight_bias] 2024-06-26T05:20:08.6036106Z %p_features_3_block_2_0_weight_bias : [num_users=1] = placeholder[target=p_features_3_block_2_0_weight_bias] 2024-06-26T05:20:08.6038331Z %p_features_4_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_4_block_0_0_weight_bias] 2024-06-26T05:20:08.6040327Z %p_features_4_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_4_block_1_0_weight_bias] 2024-06-26T05:20:08.6041929Z %p_features_4_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_4_block_2_fc1_bias] 2024-06-26T05:20:08.6043400Z %p_features_4_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_4_block_2_fc2_bias] 2024-06-26T05:20:08.6045109Z %p_features_4_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_4_block_3_0_weight_bias] 2024-06-26T05:20:08.6047125Z %p_features_5_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_5_block_0_0_weight_bias] 2024-06-26T05:20:08.6048678Z %p_features_5_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_5_block_1_0_weight_bias] 2024-06-26T05:20:08.6049672Z %p_features_5_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_5_block_2_fc1_bias] 2024-06-26T05:20:08.6050685Z %p_features_5_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_5_block_2_fc2_bias] 2024-06-26T05:20:08.6051677Z %p_features_5_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_5_block_3_0_weight_bias] 2024-06-26T05:20:08.6052714Z %p_features_6_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_6_block_0_0_weight_bias] 2024-06-26T05:20:08.6053748Z %p_features_6_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_6_block_1_0_weight_bias] 2024-06-26T05:20:08.6054722Z %p_features_6_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_6_block_2_fc1_bias] 2024-06-26T05:20:08.6055676Z %p_features_6_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_6_block_2_fc2_bias] 2024-06-26T05:20:08.6056663Z %p_features_6_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_6_block_3_0_weight_bias] 2024-06-26T05:20:08.6057681Z %p_features_7_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_7_block_0_0_weight_bias] 2024-06-26T05:20:08.6058717Z %p_features_7_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_7_block_1_0_weight_bias] 2024-06-26T05:20:08.6059788Z %p_features_7_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_7_block_2_fc1_bias] 2024-06-26T05:20:08.6060750Z %p_features_7_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_7_block_2_fc2_bias] 2024-06-26T05:20:08.6061724Z %p_features_7_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_7_block_3_0_weight_bias] 2024-06-26T05:20:08.6062869Z %p_features_8_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_8_block_0_0_weight_bias] 2024-06-26T05:20:08.6063899Z %p_features_8_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_8_block_1_0_weight_bias] 2024-06-26T05:20:08.6064890Z %p_features_8_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_8_block_2_fc1_bias] 2024-06-26T05:20:08.6065879Z %p_features_8_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_8_block_2_fc2_bias] 2024-06-26T05:20:08.6066861Z %p_features_8_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_8_block_3_0_weight_bias] 2024-06-26T05:20:08.6067886Z %p_features_9_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_9_block_0_0_weight_bias] 2024-06-26T05:20:08.6068899Z %p_features_9_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_9_block_1_0_weight_bias] 2024-06-26T05:20:08.6069883Z %p_features_9_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_9_block_2_fc1_bias] 2024-06-26T05:20:08.6070828Z %p_features_9_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_9_block_2_fc2_bias] 2024-06-26T05:20:08.6071815Z %p_features_9_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_9_block_3_0_weight_bias] 2024-06-26T05:20:08.6072898Z %p_features_10_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_10_block_0_0_weight_bias] 2024-06-26T05:20:08.6073962Z %p_features_10_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_10_block_1_0_weight_bias] 2024-06-26T05:20:08.6074978Z %p_features_10_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_10_block_2_fc1_bias] 2024-06-26T05:20:08.6075930Z %p_features_10_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_10_block_2_fc2_bias] 2024-06-26T05:20:08.6076941Z %p_features_10_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_10_block_3_0_weight_bias] 2024-06-26T05:20:08.6078151Z %p_features_11_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_11_block_0_0_weight_bias] 2024-06-26T05:20:08.6079215Z %p_features_11_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_11_block_1_0_weight_bias] 2024-06-26T05:20:08.6080219Z %p_features_11_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_11_block_2_fc1_bias] 2024-06-26T05:20:08.6081267Z %p_features_11_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_11_block_2_fc2_bias] 2024-06-26T05:20:08.6082284Z %p_features_11_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_11_block_3_0_weight_bias] 2024-06-26T05:20:08.6083269Z %p_features_12_0_weight_bias : [num_users=1] = placeholder[target=p_features_12_0_weight_bias] 2024-06-26T05:20:08.6084106Z %p_classifier_0_bias : [num_users=1] = placeholder[target=p_classifier_0_bias] 2024-06-26T05:20:08.6084884Z %p_classifier_3_bias : [num_users=1] = placeholder[target=p_classifier_3_bias] 2024-06-26T05:20:08.6085636Z %b__frozen_param0 : [num_users=1] = placeholder[target=b__frozen_param0] 2024-06-26T05:20:08.6086345Z %b__frozen_param1 : [num_users=1] = placeholder[target=b__frozen_param1] 2024-06-26T05:20:08.6087048Z %b__frozen_param2 : [num_users=1] = placeholder[target=b__frozen_param2] 2024-06-26T05:20:08.6087760Z %b__frozen_param3 : [num_users=1] = placeholder[target=b__frozen_param3] 2024-06-26T05:20:08.6088459Z %b__frozen_param4 : [num_users=1] = placeholder[target=b__frozen_param4] 2024-06-26T05:20:08.6089164Z %b__frozen_param5 : [num_users=1] = placeholder[target=b__frozen_param5] 2024-06-26T05:20:08.6089868Z %b__frozen_param6 : [num_users=1] = placeholder[target=b__frozen_param6] 2024-06-26T05:20:08.6090569Z %b__frozen_param7 : [num_users=1] = placeholder[target=b__frozen_param7] 2024-06-26T05:20:08.6091263Z %b__frozen_param8 : [num_users=1] = placeholder[target=b__frozen_param8] 2024-06-26T05:20:08.6092009Z %b__frozen_param9 : [num_users=1] = placeholder[target=b__frozen_param9] 2024-06-26T05:20:08.6092892Z %b__frozen_param10 : [num_users=1] = placeholder[target=b__frozen_param10] 2024-06-26T05:20:08.6093891Z %b__frozen_param11 : [num_users=1] = placeholder[target=b__frozen_param11] 2024-06-26T05:20:08.6095170Z %b__frozen_param12 : [num_users=1] = placeholder[target=b__frozen_param12] 2024-06-26T05:20:08.6096625Z %b__frozen_param13 : [num_users=1] = placeholder[target=b__frozen_param13] 2024-06-26T05:20:08.6097934Z %b__frozen_param14 : [num_users=1] = placeholder[target=b__frozen_param14] 2024-06-26T05:20:08.6099081Z %b__frozen_param15 : [num_users=1] = placeholder[target=b__frozen_param15] 2024-06-26T05:20:08.6100258Z %b__frozen_param16 : [num_users=1] = placeholder[target=b__frozen_param16] 2024-06-26T05:20:08.6101384Z %b__frozen_param17 : [num_users=1] = placeholder[target=b__frozen_param17] 2024-06-26T05:20:08.6102432Z %b__frozen_param18 : [num_users=1] = placeholder[target=b__frozen_param18] 2024-06-26T05:20:08.6103542Z %b__frozen_param19 : [num_users=1] = placeholder[target=b__frozen_param19] 2024-06-26T05:20:08.6104635Z %b__frozen_param20 : [num_users=1] = placeholder[target=b__frozen_param20] 2024-06-26T05:20:08.6105935Z %b__frozen_param21 : [num_users=1] = placeholder[target=b__frozen_param21] 2024-06-26T05:20:08.6107385Z %b__frozen_param22 : [num_users=1] = placeholder[target=b__frozen_param22] 2024-06-26T05:20:08.6108766Z %b__frozen_param23 : [num_users=1] = placeholder[target=b__frozen_param23] 2024-06-26T05:20:08.6115286Z %b__frozen_param24 : [num_users=1] = placeholder[target=b__frozen_param24] 2024-06-26T05:20:08.6118324Z %b__frozen_param25 : [num_users=1] = placeholder[target=b__frozen_param25] 2024-06-26T05:20:08.6120067Z %b__frozen_param26 : [num_users=1] = placeholder[target=b__frozen_param26] 2024-06-26T05:20:08.6121455Z %b__frozen_param27 : [num_users=1] = placeholder[target=b__frozen_param27] 2024-06-26T05:20:08.6122710Z %b__frozen_param28 : [num_users=1] = placeholder[target=b__frozen_param28] 2024-06-26T05:20:08.6123650Z %b__frozen_param29 : [num_users=1] = placeholder[target=b__frozen_param29] 2024-06-26T05:20:08.6124380Z %b__frozen_param30 : [num_users=1] = placeholder[target=b__frozen_param30] 2024-06-26T05:20:08.6125517Z %b__frozen_param31 : [num_users=1] = placeholder[target=b__frozen_param31] 2024-06-26T05:20:08.6126920Z %b__frozen_param32 : [num_users=1] = placeholder[target=b__frozen_param32] 2024-06-26T05:20:08.6128181Z %b__frozen_param33 : [num_users=1] = placeholder[target=b__frozen_param33] 2024-06-26T05:20:08.6129392Z %b__frozen_param34 : [num_users=1] = placeholder[target=b__frozen_param34] 2024-06-26T05:20:08.6130598Z %b__frozen_param35 : [num_users=1] = placeholder[target=b__frozen_param35] 2024-06-26T05:20:08.6131811Z %b__frozen_param36 : [num_users=1] = placeholder[target=b__frozen_param36] 2024-06-26T05:20:08.6133127Z %b__frozen_param37 : [num_users=1] = placeholder[target=b__frozen_param37] 2024-06-26T05:20:08.6134438Z %b__frozen_param38 : [num_users=1] = placeholder[target=b__frozen_param38] 2024-06-26T05:20:08.6135653Z %b__frozen_param39 : [num_users=1] = placeholder[target=b__frozen_param39] 2024-06-26T05:20:08.6136857Z %b__frozen_param40 : [num_users=1] = placeholder[target=b__frozen_param40] 2024-06-26T05:20:08.6138073Z %b__frozen_param41 : [num_users=1] = placeholder[target=b__frozen_param41] 2024-06-26T05:20:08.6139259Z %b__frozen_param42 : [num_users=1] = placeholder[target=b__frozen_param42] 2024-06-26T05:20:08.6140514Z %b__frozen_param43 : [num_users=1] = placeholder[target=b__frozen_param43] 2024-06-26T05:20:08.6141714Z %b__frozen_param44 : [num_users=1] = placeholder[target=b__frozen_param44] 2024-06-26T05:20:08.6142898Z %b__frozen_param45 : [num_users=1] = placeholder[target=b__frozen_param45] 2024-06-26T05:20:08.6144207Z %b__frozen_param46 : [num_users=1] = placeholder[target=b__frozen_param46] 2024-06-26T05:20:08.6145564Z %b__frozen_param47 : [num_users=1] = placeholder[target=b__frozen_param47] 2024-06-26T05:20:08.6146450Z %b__frozen_param48 : [num_users=1] = placeholder[target=b__frozen_param48] 2024-06-26T05:20:08.6147174Z %b__frozen_param49 : [num_users=1] = placeholder[target=b__frozen_param49] 2024-06-26T05:20:08.6147892Z %b__frozen_param50 : [num_users=1] = placeholder[target=b__frozen_param50] 2024-06-26T05:20:08.6148672Z %b__frozen_param51 : [num_users=1] = placeholder[target=b__frozen_param51] 2024-06-26T05:20:08.6149372Z %b__frozen_param52 : [num_users=1] = placeholder[target=b__frozen_param52] 2024-06-26T05:20:08.6150094Z %b__frozen_param53 : [num_users=1] = placeholder[target=b__frozen_param53] 2024-06-26T05:20:08.6150899Z %_lifted_tensor_constant54 : [num_users=1] = placeholder[target=_lifted_tensor_constant54] 2024-06-26T05:20:08.6151770Z %_lifted_tensor_constant55 : [num_users=1] = placeholder[target=_lifted_tensor_constant55] 2024-06-26T05:20:08.6152648Z %_lifted_tensor_constant56 : [num_users=1] = placeholder[target=_lifted_tensor_constant56] 2024-06-26T05:20:08.6153511Z %_lifted_tensor_constant57 : [num_users=1] = placeholder[target=_lifted_tensor_constant57] 2024-06-26T05:20:08.6154366Z %_lifted_tensor_constant58 : [num_users=1] = placeholder[target=_lifted_tensor_constant58] 2024-06-26T05:20:08.6155275Z %_lifted_tensor_constant59 : [num_users=1] = placeholder[target=_lifted_tensor_constant59] 2024-06-26T05:20:08.6156149Z %_lifted_tensor_constant60 : [num_users=1] = placeholder[target=_lifted_tensor_constant60] 2024-06-26T05:20:08.6157015Z %_lifted_tensor_constant61 : [num_users=1] = placeholder[target=_lifted_tensor_constant61] 2024-06-26T05:20:08.6157995Z %_lifted_tensor_constant62 : [num_users=1] = placeholder[target=_lifted_tensor_constant62] 2024-06-26T05:20:08.6158880Z %_lifted_tensor_constant63 : [num_users=1] = placeholder[target=_lifted_tensor_constant63] 2024-06-26T05:20:08.6159743Z %_lifted_tensor_constant64 : [num_users=1] = placeholder[target=_lifted_tensor_constant64] 2024-06-26T05:20:08.6160602Z %_lifted_tensor_constant65 : [num_users=1] = placeholder[target=_lifted_tensor_constant65] 2024-06-26T05:20:08.6161453Z %_lifted_tensor_constant66 : [num_users=1] = placeholder[target=_lifted_tensor_constant66] 2024-06-26T05:20:08.6162318Z %_lifted_tensor_constant67 : [num_users=1] = placeholder[target=_lifted_tensor_constant67] 2024-06-26T05:20:08.6163248Z %_lifted_tensor_constant68 : [num_users=1] = placeholder[target=_lifted_tensor_constant68] 2024-06-26T05:20:08.6164099Z %_lifted_tensor_constant69 : [num_users=1] = placeholder[target=_lifted_tensor_constant69] 2024-06-26T05:20:08.6164966Z %_lifted_tensor_constant70 : [num_users=1] = placeholder[target=_lifted_tensor_constant70] 2024-06-26T05:20:08.6165824Z %_lifted_tensor_constant71 : [num_users=1] = placeholder[target=_lifted_tensor_constant71] 2024-06-26T05:20:08.6166675Z %_lifted_tensor_constant72 : [num_users=1] = placeholder[target=_lifted_tensor_constant72] 2024-06-26T05:20:08.6167539Z %_lifted_tensor_constant73 : [num_users=1] = placeholder[target=_lifted_tensor_constant73] 2024-06-26T05:20:08.6168399Z %_lifted_tensor_constant74 : [num_users=1] = placeholder[target=_lifted_tensor_constant74] 2024-06-26T05:20:08.6169270Z %_lifted_tensor_constant75 : [num_users=1] = placeholder[target=_lifted_tensor_constant75] 2024-06-26T05:20:08.6170128Z %_lifted_tensor_constant76 : [num_users=1] = placeholder[target=_lifted_tensor_constant76] 2024-06-26T05:20:08.6170998Z %_lifted_tensor_constant77 : [num_users=1] = placeholder[target=_lifted_tensor_constant77] 2024-06-26T05:20:08.6171860Z %_lifted_tensor_constant78 : [num_users=1] = placeholder[target=_lifted_tensor_constant78] 2024-06-26T05:20:08.6172705Z %_lifted_tensor_constant79 : [num_users=1] = placeholder[target=_lifted_tensor_constant79] 2024-06-26T05:20:08.6173559Z %_lifted_tensor_constant80 : [num_users=1] = placeholder[target=_lifted_tensor_constant80] 2024-06-26T05:20:08.6174476Z %_lifted_tensor_constant81 : [num_users=1] = placeholder[target=_lifted_tensor_constant81] 2024-06-26T05:20:08.6175341Z %_lifted_tensor_constant82 : [num_users=1] = placeholder[target=_lifted_tensor_constant82] 2024-06-26T05:20:08.6176192Z %_lifted_tensor_constant83 : [num_users=1] = placeholder[target=_lifted_tensor_constant83] 2024-06-26T05:20:08.6177064Z %_lifted_tensor_constant84 : [num_users=1] = placeholder[target=_lifted_tensor_constant84] 2024-06-26T05:20:08.6177963Z %_lifted_tensor_constant85 : [num_users=1] = placeholder[target=_lifted_tensor_constant85] 2024-06-26T05:20:08.6178811Z %_lifted_tensor_constant86 : [num_users=1] = placeholder[target=_lifted_tensor_constant86] 2024-06-26T05:20:08.6179743Z %_lifted_tensor_constant87 : [num_users=1] = placeholder[target=_lifted_tensor_constant87] 2024-06-26T05:20:08.6180615Z %_lifted_tensor_constant88 : [num_users=1] = placeholder[target=_lifted_tensor_constant88] 2024-06-26T05:20:08.6181482Z %_lifted_tensor_constant89 : [num_users=1] = placeholder[target=_lifted_tensor_constant89] 2024-06-26T05:20:08.6182328Z %_lifted_tensor_constant90 : [num_users=1] = placeholder[target=_lifted_tensor_constant90] 2024-06-26T05:20:08.6183190Z %_lifted_tensor_constant91 : [num_users=1] = placeholder[target=_lifted_tensor_constant91] 2024-06-26T05:20:08.6184055Z %_lifted_tensor_constant92 : [num_users=1] = placeholder[target=_lifted_tensor_constant92] 2024-06-26T05:20:08.6185002Z %_lifted_tensor_constant93 : [num_users=1] = placeholder[target=_lifted_tensor_constant93] 2024-06-26T05:20:08.6185867Z %_lifted_tensor_constant94 : [num_users=1] = placeholder[target=_lifted_tensor_constant94] 2024-06-26T05:20:08.6186736Z %_lifted_tensor_constant95 : [num_users=1] = placeholder[target=_lifted_tensor_constant95] 2024-06-26T05:20:08.6187596Z %_lifted_tensor_constant96 : [num_users=1] = placeholder[target=_lifted_tensor_constant96] 2024-06-26T05:20:08.6188443Z %_lifted_tensor_constant97 : [num_users=1] = placeholder[target=_lifted_tensor_constant97] 2024-06-26T05:20:08.6189310Z %_lifted_tensor_constant98 : [num_users=1] = placeholder[target=_lifted_tensor_constant98] 2024-06-26T05:20:08.6190173Z %_lifted_tensor_constant99 : [num_users=1] = placeholder[target=_lifted_tensor_constant99] 2024-06-26T05:20:08.6191048Z %_lifted_tensor_constant100 : [num_users=1] = placeholder[target=_lifted_tensor_constant100] 2024-06-26T05:20:08.6191996Z %_lifted_tensor_constant101 : [num_users=1] = placeholder[target=_lifted_tensor_constant101] 2024-06-26T05:20:08.6192896Z %_lifted_tensor_constant102 : [num_users=1] = placeholder[target=_lifted_tensor_constant102] 2024-06-26T05:20:08.6193785Z %_lifted_tensor_constant103 : [num_users=1] = placeholder[target=_lifted_tensor_constant103] 2024-06-26T05:20:08.6194664Z %_lifted_tensor_constant104 : [num_users=1] = placeholder[target=_lifted_tensor_constant104] 2024-06-26T05:20:08.6195557Z %_lifted_tensor_constant105 : [num_users=1] = placeholder[target=_lifted_tensor_constant105] 2024-06-26T05:20:08.6196445Z %_lifted_tensor_constant106 : [num_users=1] = placeholder[target=_lifted_tensor_constant106] 2024-06-26T05:20:08.6197322Z %_lifted_tensor_constant107 : [num_users=1] = placeholder[target=_lifted_tensor_constant107] 2024-06-26T05:20:08.6198342Z %_lifted_tensor_constant108 : [num_users=1] = placeholder[target=_lifted_tensor_constant108] 2024-06-26T05:20:08.6199240Z %_lifted_tensor_constant109 : [num_users=1] = placeholder[target=_lifted_tensor_constant109] 2024-06-26T05:20:08.6199914Z %x : [num_users=1] = placeholder[target=x] 2024-06-26T05:20:08.6201701Z %quantized_decomposed_quantize_per_tensor_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%x, 0.032788049429655075, -11, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6204698Z %quantized_decomposed_dequantize_per_tensor_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default, 0.032788049429655075, -11, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6207800Z %quantized_decomposed_dequantize_per_tensor_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param0, 0.13800540566444397, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6210801Z %aten_convolution_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default, %quantized_decomposed_dequantize_per_tensor_default_1, %p_features_0_0_weight_bias, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6213941Z %quantized_decomposed_quantize_per_tensor_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default, 0.9393326044082642, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6217046Z %quantized_decomposed_dequantize_per_tensor_default_2 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_1, 0.9393326044082642, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6219512Z %aten__to_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant54,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.6221598Z %aten_add_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_2, %aten__to_copy_default), kwargs = {}) 2024-06-26T05:20:08.6223485Z %aten_clamp_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor, 0), kwargs = {}) 2024-06-26T05:20:08.6225161Z %aten_clamp_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default, None, 6), kwargs = {}) 2024-06-26T05:20:08.6227107Z %aten_mul_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_2, %aten_clamp_default_1), kwargs = {}) 2024-06-26T05:20:08.6229054Z %aten_div_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor, %_lifted_tensor_constant55), kwargs = {}) 2024-06-26T05:20:08.6231475Z %quantized_decomposed_quantize_per_tensor_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor, 0.44094163179397583, -127, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6234545Z %quantized_decomposed_dequantize_per_tensor_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_2, 0.44094163179397583, -127, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6237587Z %quantized_decomposed_dequantize_per_tensor_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param1, 0.19347569346427917, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6240735Z %aten_convolution_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_3, %quantized_decomposed_dequantize_per_tensor_default_4, %p_features_1_block_0_0_weight_bias, [2, 2], [1, 1], [1, 1], False, [0, 0], 16), kwargs = {}) 2024-06-26T05:20:08.6243244Z %aten_relu_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_1,), kwargs = {}) 2024-06-26T05:20:08.6245625Z %quantized_decomposed_quantize_per_tensor_default_3 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default, 0.034876748919487, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6248733Z %quantized_decomposed_dequantize_per_tensor_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_3, 0.034876748919487, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6251959Z %quantized_decomposed_dequantize_per_tensor_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_3, 0.034876748919487, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6254609Z %aten_mean_dim : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_6, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.6257147Z %quantized_decomposed_quantize_per_tensor_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim, 0.034876748919487, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6260246Z %quantized_decomposed_dequantize_per_tensor_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_4, 0.034876748919487, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6263262Z %quantized_decomposed_dequantize_per_tensor_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param2, 0.000244140625, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6266272Z %aten_convolution_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_7, %quantized_decomposed_dequantize_per_tensor_default_8, %p_features_1_block_1_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6268745Z %aten_relu_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_2,), kwargs = {}) 2024-06-26T05:20:08.6271108Z %quantized_decomposed_quantize_per_tensor_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_1, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6274143Z %quantized_decomposed_dequantize_per_tensor_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_5, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6277142Z %quantized_decomposed_dequantize_per_tensor_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param3, 0.000244140625, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6280249Z %aten_convolution_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_9, %quantized_decomposed_dequantize_per_tensor_default_10, %p_features_1_block_1_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6283515Z %quantized_decomposed_quantize_per_tensor_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_3, 0.009770921431481838, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6286656Z %quantized_decomposed_dequantize_per_tensor_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_6, 0.009770921431481838, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6289151Z %aten__to_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant56,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.6291191Z %aten_add_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_11, %aten__to_copy_default_1), kwargs = {}) 2024-06-26T05:20:08.6293108Z %aten_clamp_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_1, 0), kwargs = {}) 2024-06-26T05:20:08.6294851Z %aten_clamp_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_2, None, 6), kwargs = {}) 2024-06-26T05:20:08.6296645Z %aten_div_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_3, %_lifted_tensor_constant57), kwargs = {}) 2024-06-26T05:20:08.6299097Z %quantized_decomposed_quantize_per_tensor_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_1, 0.0028459904715418816, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6302280Z %quantized_decomposed_dequantize_per_tensor_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_7, 0.0028459904715418816, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6305094Z %aten_mul_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_12, %quantized_decomposed_dequantize_per_tensor_default_5), kwargs = {}) 2024-06-26T05:20:08.6307839Z %quantized_decomposed_quantize_per_tensor_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_1, 0.01608487404882908, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6310912Z %quantized_decomposed_dequantize_per_tensor_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_8, 0.01608487404882908, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6313953Z %quantized_decomposed_dequantize_per_tensor_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param4, 0.0519644133746624, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6316952Z %aten_convolution_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_13, %quantized_decomposed_dequantize_per_tensor_default_14, %p_features_1_block_2_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6320363Z %quantized_decomposed_quantize_per_tensor_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_4, 0.09980341047048569, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6323470Z %quantized_decomposed_dequantize_per_tensor_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_9, 0.09980341047048569, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6326587Z %quantized_decomposed_dequantize_per_tensor_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param5, 0.007365490775555372, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6329582Z %aten_convolution_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_15, %quantized_decomposed_dequantize_per_tensor_default_16, %p_features_2_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6332149Z %aten_relu_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_5,), kwargs = {}) 2024-06-26T05:20:08.6334570Z %quantized_decomposed_quantize_per_tensor_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_2, 0.037708066403865814, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6337686Z %quantized_decomposed_dequantize_per_tensor_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_10, 0.037708066403865814, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6340811Z %quantized_decomposed_dequantize_per_tensor_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param6, 0.10758370906114578, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6343947Z %aten_convolution_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_17, %quantized_decomposed_dequantize_per_tensor_default_18, %p_features_2_block_1_0_weight_bias, [2, 2], [1, 1], [1, 1], False, [0, 0], 72), kwargs = {}) 2024-06-26T05:20:08.6346447Z %aten_relu_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_6,), kwargs = {}) 2024-06-26T05:20:08.6348848Z %quantized_decomposed_quantize_per_tensor_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_3, 0.03328622877597809, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6351952Z %quantized_decomposed_dequantize_per_tensor_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_11, 0.03328622877597809, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6355031Z %quantized_decomposed_dequantize_per_tensor_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param7, 0.014249389991164207, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6358152Z %aten_convolution_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_19, %quantized_decomposed_dequantize_per_tensor_default_20, %p_features_2_block_2_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6361452Z %quantized_decomposed_quantize_per_tensor_default_12 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_7, 0.0718260332942009, 30, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6364580Z %quantized_decomposed_dequantize_per_tensor_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_12, 0.0718260332942009, 30, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6367806Z %quantized_decomposed_dequantize_per_tensor_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_12, 0.0718260332942009, 30, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6370898Z %quantized_decomposed_dequantize_per_tensor_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param8, 0.00496926112100482, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6373906Z %aten_convolution_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_22, %quantized_decomposed_dequantize_per_tensor_default_23, %p_features_3_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6376405Z %aten_relu_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_8,), kwargs = {}) 2024-06-26T05:20:08.6378808Z %quantized_decomposed_quantize_per_tensor_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_4, 0.014371058903634548, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6382042Z %quantized_decomposed_dequantize_per_tensor_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_13, 0.014371058903634548, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6385113Z %quantized_decomposed_dequantize_per_tensor_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param9, 0.08777822554111481, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6388109Z %aten_convolution_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_24, %quantized_decomposed_dequantize_per_tensor_default_25, %p_features_3_block_1_0_weight_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 88), kwargs = {}) 2024-06-26T05:20:08.6390622Z %aten_relu_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_9,), kwargs = {}) 2024-06-26T05:20:08.6393016Z %quantized_decomposed_quantize_per_tensor_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_5, 0.016539663076400757, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6396113Z %quantized_decomposed_dequantize_per_tensor_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_14, 0.016539663076400757, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6399292Z %quantized_decomposed_dequantize_per_tensor_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param10, 0.018993781879544258, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6402351Z %aten_convolution_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_26, %quantized_decomposed_dequantize_per_tensor_default_27, %p_features_3_block_2_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6405582Z %quantized_decomposed_quantize_per_tensor_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_10, 0.05505416914820671, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6408733Z %quantized_decomposed_dequantize_per_tensor_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_15, 0.05505416914820671, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6411477Z %aten_add_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_28, %quantized_decomposed_dequantize_per_tensor_default_21), kwargs = {}) 2024-06-26T05:20:08.6414225Z %quantized_decomposed_quantize_per_tensor_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_add_tensor_2, 0.07785440236330032, 14, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6417283Z %quantized_decomposed_dequantize_per_tensor_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_16, 0.07785440236330032, 14, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6420424Z %quantized_decomposed_dequantize_per_tensor_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param11, 0.01391826756298542, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6423447Z %aten_convolution_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_29, %quantized_decomposed_dequantize_per_tensor_default_30, %p_features_4_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6426676Z %quantized_decomposed_quantize_per_tensor_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_11, 0.06801324337720871, 10, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6429788Z %quantized_decomposed_dequantize_per_tensor_default_31 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_17, 0.06801324337720871, 10, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6432267Z %aten__to_copy_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant58,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.6434304Z %aten_add_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_31, %aten__to_copy_default_2), kwargs = {}) 2024-06-26T05:20:08.6436262Z %aten_clamp_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_3, 0), kwargs = {}) 2024-06-26T05:20:08.6438060Z %aten_clamp_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_4, None, 6), kwargs = {}) 2024-06-26T05:20:08.6440035Z %aten_mul_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_31, %aten_clamp_default_5), kwargs = {}) 2024-06-26T05:20:08.6441995Z %aten_div_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_2, %_lifted_tensor_constant59), kwargs = {}) 2024-06-26T05:20:08.6444447Z %quantized_decomposed_quantize_per_tensor_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_2, 0.032782215625047684, -117, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6462024Z %quantized_decomposed_dequantize_per_tensor_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_18, 0.032782215625047684, -117, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6465397Z %quantized_decomposed_dequantize_per_tensor_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param12, 0.12695422768592834, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6468422Z %aten_convolution_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_32, %quantized_decomposed_dequantize_per_tensor_default_33, %p_features_4_block_1_0_weight_bias, [2, 2], [2, 2], [1, 1], False, [0, 0], 96), kwargs = {}) 2024-06-26T05:20:08.6471744Z %quantized_decomposed_quantize_per_tensor_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_12, 0.04807135835289955, -20, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6474876Z %quantized_decomposed_dequantize_per_tensor_default_34 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_19, 0.04807135835289955, -20, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6477368Z %aten__to_copy_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant60,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.6479574Z %aten_add_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_34, %aten__to_copy_default_3), kwargs = {}) 2024-06-26T05:20:08.6481476Z %aten_clamp_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_4, 0), kwargs = {}) 2024-06-26T05:20:08.6483170Z %aten_clamp_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_6, None, 6), kwargs = {}) 2024-06-26T05:20:08.6485113Z %aten_mul_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_34, %aten_clamp_default_7), kwargs = {}) 2024-06-26T05:20:08.6487137Z %aten_div_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_3, %_lifted_tensor_constant61), kwargs = {}) 2024-06-26T05:20:08.6489568Z %quantized_decomposed_quantize_per_tensor_default_20 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_3, 0.0298512801527977, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6492712Z %quantized_decomposed_dequantize_per_tensor_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_20, 0.0298512801527977, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6495968Z %quantized_decomposed_dequantize_per_tensor_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_20, 0.0298512801527977, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6498627Z %aten_mean_dim_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_36, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.6501286Z %quantized_decomposed_quantize_per_tensor_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_1, 0.0298512801527977, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6504357Z %quantized_decomposed_dequantize_per_tensor_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_21, 0.0298512801527977, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6507428Z %quantized_decomposed_dequantize_per_tensor_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param13, 0.023241082206368446, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6510458Z %aten_convolution_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_37, %quantized_decomposed_dequantize_per_tensor_default_38, %p_features_4_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6512956Z %aten_relu_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_13,), kwargs = {}) 2024-06-26T05:20:08.6515328Z %quantized_decomposed_quantize_per_tensor_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_6, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6518456Z %quantized_decomposed_dequantize_per_tensor_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_22, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6521503Z %quantized_decomposed_dequantize_per_tensor_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param14, 0.009259029291570187, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6524492Z %aten_convolution_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_39, %quantized_decomposed_dequantize_per_tensor_default_40, %p_features_4_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6527752Z %quantized_decomposed_quantize_per_tensor_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_14, 0.012354371137917042, 25, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6530905Z %quantized_decomposed_dequantize_per_tensor_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_23, 0.012354371137917042, 25, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6533374Z %aten__to_copy_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant62,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.6535410Z %aten_add_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_41, %aten__to_copy_default_4), kwargs = {}) 2024-06-26T05:20:08.6537313Z %aten_clamp_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_5, 0), kwargs = {}) 2024-06-26T05:20:08.6539057Z %aten_clamp_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_8, None, 6), kwargs = {}) 2024-06-26T05:20:08.6540891Z %aten_div_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_9, %_lifted_tensor_constant63), kwargs = {}) 2024-06-26T05:20:08.6543367Z %quantized_decomposed_quantize_per_tensor_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_4, 0.0027818952221423388, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6546476Z %quantized_decomposed_dequantize_per_tensor_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_24, 0.0027818952221423388, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6549273Z %aten_mul_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_42, %quantized_decomposed_dequantize_per_tensor_default_35), kwargs = {}) 2024-06-26T05:20:08.6552029Z %quantized_decomposed_quantize_per_tensor_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_4, 0.016827085986733437, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6555116Z %quantized_decomposed_dequantize_per_tensor_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_25, 0.016827085986733437, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6558258Z %quantized_decomposed_dequantize_per_tensor_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param15, 0.009915303438901901, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6561279Z %aten_convolution_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_43, %quantized_decomposed_dequantize_per_tensor_default_44, %p_features_4_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6564567Z %quantized_decomposed_quantize_per_tensor_default_26 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_15, 0.023389454931020737, 6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6567682Z %quantized_decomposed_dequantize_per_tensor_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_26, 0.023389454931020737, 6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6570972Z %quantized_decomposed_dequantize_per_tensor_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_26, 0.023389454931020737, 6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6574027Z %quantized_decomposed_dequantize_per_tensor_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param16, 0.009469963610172272, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6577067Z %aten_convolution_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_46, %quantized_decomposed_dequantize_per_tensor_default_47, %p_features_5_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6580383Z %quantized_decomposed_quantize_per_tensor_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_16, 0.030381519347429276, 52, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6583486Z %quantized_decomposed_dequantize_per_tensor_default_48 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_27, 0.030381519347429276, 52, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6586013Z %aten__to_copy_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant64,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.6588059Z %aten_add_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_48, %aten__to_copy_default_5), kwargs = {}) 2024-06-26T05:20:08.6589968Z %aten_clamp_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_6, 0), kwargs = {}) 2024-06-26T05:20:08.6591682Z %aten_clamp_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_10, None, 6), kwargs = {}) 2024-06-26T05:20:08.6593620Z %aten_mul_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_48, %aten_clamp_default_11), kwargs = {}) 2024-06-26T05:20:08.6595592Z %aten_div_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_5, %_lifted_tensor_constant65), kwargs = {}) 2024-06-26T05:20:08.6598167Z %quantized_decomposed_quantize_per_tensor_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_5, 0.009325562044978142, -88, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6601250Z %quantized_decomposed_dequantize_per_tensor_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_28, 0.009325562044978142, -88, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6604384Z %quantized_decomposed_dequantize_per_tensor_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param17, 0.29110556840896606, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6607426Z %aten_convolution_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_49, %quantized_decomposed_dequantize_per_tensor_default_50, %p_features_5_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], False, [0, 0], 240), kwargs = {}) 2024-06-26T05:20:08.6610658Z %quantized_decomposed_quantize_per_tensor_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_17, 0.04927137866616249, -27, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6613820Z %quantized_decomposed_dequantize_per_tensor_default_51 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_29, 0.04927137866616249, -27, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6616282Z %aten__to_copy_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant66,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.6618318Z %aten_add_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_51, %aten__to_copy_default_6), kwargs = {}) 2024-06-26T05:20:08.6620296Z %aten_clamp_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_7, 0), kwargs = {}) 2024-06-26T05:20:08.6621994Z %aten_clamp_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_12, None, 6), kwargs = {}) 2024-06-26T05:20:08.6623985Z %aten_mul_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_51, %aten_clamp_default_13), kwargs = {}) 2024-06-26T05:20:08.6625955Z %aten_div_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_6, %_lifted_tensor_constant67), kwargs = {}) 2024-06-26T05:20:08.6628392Z %quantized_decomposed_quantize_per_tensor_default_30 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_6, 0.031156430020928383, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6631499Z %quantized_decomposed_dequantize_per_tensor_default_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_30, 0.031156430020928383, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6634757Z %quantized_decomposed_dequantize_per_tensor_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_30, 0.031156430020928383, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6637430Z %aten_mean_dim_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_53, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.6640270Z %quantized_decomposed_quantize_per_tensor_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_2, 0.031156430020928383, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6643350Z %quantized_decomposed_dequantize_per_tensor_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_31, 0.031156430020928383, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6646463Z %quantized_decomposed_dequantize_per_tensor_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param18, 0.02302936650812626, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6649456Z %aten_convolution_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_54, %quantized_decomposed_dequantize_per_tensor_default_55, %p_features_5_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6651981Z %aten_relu_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_18,), kwargs = {}) 2024-06-26T05:20:08.6654395Z %quantized_decomposed_quantize_per_tensor_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_7, 0.015201752074062824, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6657461Z %quantized_decomposed_dequantize_per_tensor_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_32, 0.015201752074062824, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6660599Z %quantized_decomposed_dequantize_per_tensor_default_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param19, 0.024587249383330345, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6663665Z %aten_convolution_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_56, %quantized_decomposed_dequantize_per_tensor_default_57, %p_features_5_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6666881Z %quantized_decomposed_quantize_per_tensor_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_19, 0.035624612122774124, 20, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6669989Z %quantized_decomposed_dequantize_per_tensor_default_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_33, 0.035624612122774124, 20, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6672455Z %aten__to_copy_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant68,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.6674497Z %aten_add_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_58, %aten__to_copy_default_7), kwargs = {}) 2024-06-26T05:20:08.6676404Z %aten_clamp_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_8, 0), kwargs = {}) 2024-06-26T05:20:08.6678237Z %aten_clamp_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_14, None, 6), kwargs = {}) 2024-06-26T05:20:08.6680041Z %aten_div_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_15, %_lifted_tensor_constant69), kwargs = {}) 2024-06-26T05:20:08.6682536Z %quantized_decomposed_quantize_per_tensor_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_7, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6685640Z %quantized_decomposed_dequantize_per_tensor_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_34, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6688398Z %aten_mul_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_59, %quantized_decomposed_dequantize_per_tensor_default_52), kwargs = {}) 2024-06-26T05:20:08.6691197Z %quantized_decomposed_quantize_per_tensor_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_7, 0.005049227736890316, -54, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6694273Z %quantized_decomposed_dequantize_per_tensor_default_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_35, 0.005049227736890316, -54, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6697343Z %quantized_decomposed_dequantize_per_tensor_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param20, 0.03421241044998169, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6700467Z %aten_convolution_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_60, %quantized_decomposed_dequantize_per_tensor_default_61, %p_features_5_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6703715Z %quantized_decomposed_quantize_per_tensor_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_20, 0.018019428476691246, -1, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6706830Z %quantized_decomposed_dequantize_per_tensor_default_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_36, 0.018019428476691246, -1, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6709584Z %aten_add_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_62, %quantized_decomposed_dequantize_per_tensor_default_45), kwargs = {}) 2024-06-26T05:20:08.6712323Z %quantized_decomposed_quantize_per_tensor_default_37 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_add_tensor_9, 0.027667397633194923, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6715381Z %quantized_decomposed_dequantize_per_tensor_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_37, 0.027667397633194923, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6718857Z %quantized_decomposed_dequantize_per_tensor_default_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_37, 0.027667397633194923, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6721971Z %quantized_decomposed_dequantize_per_tensor_default_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param21, 0.004709577653557062, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6724978Z %aten_convolution_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_64, %quantized_decomposed_dequantize_per_tensor_default_65, %p_features_6_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6728289Z %quantized_decomposed_quantize_per_tensor_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_21, 0.02671457640826702, 30, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6731394Z %quantized_decomposed_dequantize_per_tensor_default_66 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_38, 0.02671457640826702, 30, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6733864Z %aten__to_copy_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant70,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.6735911Z %aten_add_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_66, %aten__to_copy_default_8), kwargs = {}) 2024-06-26T05:20:08.6737839Z %aten_clamp_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_10, 0), kwargs = {}) 2024-06-26T05:20:08.6739602Z %aten_clamp_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_16, None, 6), kwargs = {}) 2024-06-26T05:20:08.6741603Z %aten_mul_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_66, %aten_clamp_default_17), kwargs = {}) 2024-06-26T05:20:08.6743571Z %aten_div_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_8, %_lifted_tensor_constant71), kwargs = {}) 2024-06-26T05:20:08.6746028Z %quantized_decomposed_quantize_per_tensor_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_8, 0.011707295663654804, -96, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6749120Z %quantized_decomposed_dequantize_per_tensor_default_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_39, 0.011707295663654804, -96, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6752169Z %quantized_decomposed_dequantize_per_tensor_default_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param22, 0.22559306025505066, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6755227Z %aten_convolution_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_67, %quantized_decomposed_dequantize_per_tensor_default_68, %p_features_6_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], False, [0, 0], 240), kwargs = {}) 2024-06-26T05:20:08.6758677Z %quantized_decomposed_quantize_per_tensor_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_22, 0.0482591949403286, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6761771Z %quantized_decomposed_dequantize_per_tensor_default_69 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_40, 0.0482591949403286, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6764251Z %aten__to_copy_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant72,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.6766345Z %aten_add_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_69, %aten__to_copy_default_9), kwargs = {}) 2024-06-26T05:20:08.6768262Z %aten_clamp_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_11, 0), kwargs = {}) 2024-06-26T05:20:08.6769981Z %aten_clamp_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_18, None, 6), kwargs = {}) 2024-06-26T05:20:08.6771928Z %aten_mul_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_69, %aten_clamp_default_19), kwargs = {}) 2024-06-26T05:20:08.6773897Z %aten_div_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_9, %_lifted_tensor_constant73), kwargs = {}) 2024-06-26T05:20:08.6776546Z %quantized_decomposed_quantize_per_tensor_default_41 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_9, 0.03135485202074051, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6779626Z %quantized_decomposed_dequantize_per_tensor_default_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_41, 0.03135485202074051, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6782982Z %quantized_decomposed_dequantize_per_tensor_default_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_41, 0.03135485202074051, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6785905Z %aten_mean_dim_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_71, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.6788455Z %quantized_decomposed_quantize_per_tensor_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_3, 0.03135485202074051, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6791527Z %quantized_decomposed_dequantize_per_tensor_default_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_42, 0.03135485202074051, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6794667Z %quantized_decomposed_dequantize_per_tensor_default_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param23, 0.013339489698410034, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6797697Z %aten_convolution_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_72, %quantized_decomposed_dequantize_per_tensor_default_73, %p_features_6_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6800344Z %aten_relu_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_23,), kwargs = {}) 2024-06-26T05:20:08.6802740Z %quantized_decomposed_quantize_per_tensor_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_8, 0.007360432296991348, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6805877Z %quantized_decomposed_dequantize_per_tensor_default_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_43, 0.007360432296991348, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6808954Z %quantized_decomposed_dequantize_per_tensor_default_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param24, 0.020886452868580818, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6811943Z %aten_convolution_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_74, %quantized_decomposed_dequantize_per_tensor_default_75, %p_features_6_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6815216Z %quantized_decomposed_quantize_per_tensor_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_24, 0.025485847145318985, 13, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6818310Z %quantized_decomposed_dequantize_per_tensor_default_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_44, 0.025485847145318985, 13, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6820859Z %aten__to_copy_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant74,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.6822911Z %aten_add_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_76, %aten__to_copy_default_10), kwargs = {}) 2024-06-26T05:20:08.6824846Z %aten_clamp_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_12, 0), kwargs = {}) 2024-06-26T05:20:08.6826571Z %aten_clamp_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_20, None, 6), kwargs = {}) 2024-06-26T05:20:08.6828362Z %aten_div_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_21, %_lifted_tensor_constant75), kwargs = {}) 2024-06-26T05:20:08.6830899Z %quantized_decomposed_quantize_per_tensor_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_10, 0.0038670676294714212, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6834018Z %quantized_decomposed_dequantize_per_tensor_default_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_45, 0.0038670676294714212, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6836815Z %aten_mul_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_77, %quantized_decomposed_dequantize_per_tensor_default_70), kwargs = {}) 2024-06-26T05:20:08.6840409Z %quantized_decomposed_quantize_per_tensor_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_10, 0.006863838993012905, -80, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6843555Z %quantized_decomposed_dequantize_per_tensor_default_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_46, 0.006863838993012905, -80, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6846624Z %quantized_decomposed_dequantize_per_tensor_default_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param25, 0.03715989366173744, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6849620Z %aten_convolution_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_78, %quantized_decomposed_dequantize_per_tensor_default_79, %p_features_6_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6852910Z %quantized_decomposed_quantize_per_tensor_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_25, 0.03623475506901741, -28, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6856029Z %quantized_decomposed_dequantize_per_tensor_default_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_47, 0.03623475506901741, -28, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6858771Z %aten_add_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_80, %quantized_decomposed_dequantize_per_tensor_default_63), kwargs = {}) 2024-06-26T05:20:08.6861606Z %quantized_decomposed_quantize_per_tensor_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_add_tensor_13, 0.0407610684633255, -25, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6864658Z %quantized_decomposed_dequantize_per_tensor_default_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_48, 0.0407610684633255, -25, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6867712Z %quantized_decomposed_dequantize_per_tensor_default_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param26, 0.008141666650772095, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6870787Z %aten_convolution_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_81, %quantized_decomposed_dequantize_per_tensor_default_82, %p_features_7_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6874030Z %quantized_decomposed_quantize_per_tensor_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_26, 0.041501469910144806, -22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6877297Z %quantized_decomposed_dequantize_per_tensor_default_83 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_49, 0.041501469910144806, -22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6879950Z %aten__to_copy_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant76,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.6882051Z %aten_add_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_83, %aten__to_copy_default_11), kwargs = {}) 2024-06-26T05:20:08.6883982Z %aten_clamp_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_14, 0), kwargs = {}) 2024-06-26T05:20:08.6885686Z %aten_clamp_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_22, None, 6), kwargs = {}) 2024-06-26T05:20:08.6887635Z %aten_mul_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_83, %aten_clamp_default_23), kwargs = {}) 2024-06-26T05:20:08.6889628Z %aten_div_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_11, %_lifted_tensor_constant77), kwargs = {}) 2024-06-26T05:20:08.6892137Z %quantized_decomposed_quantize_per_tensor_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_11, 0.02565867081284523, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6895246Z %quantized_decomposed_dequantize_per_tensor_default_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_50, 0.02565867081284523, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6898286Z %quantized_decomposed_dequantize_per_tensor_default_85 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param27, 0.24098145961761475, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6901377Z %aten_convolution_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_84, %quantized_decomposed_dequantize_per_tensor_default_85, %p_features_7_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], False, [0, 0], 120), kwargs = {}) 2024-06-26T05:20:08.6904622Z %quantized_decomposed_quantize_per_tensor_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_27, 0.0395459420979023, -24, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6907734Z %quantized_decomposed_dequantize_per_tensor_default_86 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_51, 0.0395459420979023, -24, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6910287Z %aten__to_copy_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant78,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.6912370Z %aten_add_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_86, %aten__to_copy_default_12), kwargs = {}) 2024-06-26T05:20:08.6914282Z %aten_clamp_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_15, 0), kwargs = {}) 2024-06-26T05:20:08.6916001Z %aten_clamp_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_24, None, 6), kwargs = {}) 2024-06-26T05:20:08.6918075Z %aten_mul_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_86, %aten_clamp_default_25), kwargs = {}) 2024-06-26T05:20:08.6920128Z %aten_div_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_12, %_lifted_tensor_constant79), kwargs = {}) 2024-06-26T05:20:08.6922589Z %quantized_decomposed_quantize_per_tensor_default_52 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_12, 0.02488207258284092, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6925664Z %quantized_decomposed_dequantize_per_tensor_default_87 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_52, 0.02488207258284092, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6928949Z %quantized_decomposed_dequantize_per_tensor_default_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_52, 0.02488207258284092, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6931629Z %aten_mean_dim_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_88, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.6934154Z %quantized_decomposed_quantize_per_tensor_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_4, 0.02488207258284092, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6937221Z %quantized_decomposed_dequantize_per_tensor_default_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_53, 0.02488207258284092, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6940342Z %quantized_decomposed_dequantize_per_tensor_default_90 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param28, 0.02133479155600071, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6943326Z %aten_convolution_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_89, %quantized_decomposed_dequantize_per_tensor_default_90, %p_features_7_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6945880Z %aten_relu_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_28,), kwargs = {}) 2024-06-26T05:20:08.6948309Z %quantized_decomposed_quantize_per_tensor_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_9, 0.023468464612960815, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6951456Z %quantized_decomposed_dequantize_per_tensor_default_91 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_54, 0.023468464612960815, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6954527Z %quantized_decomposed_dequantize_per_tensor_default_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param29, 0.015290362760424614, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6957545Z %aten_convolution_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_91, %quantized_decomposed_dequantize_per_tensor_default_92, %p_features_7_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6960916Z %quantized_decomposed_quantize_per_tensor_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_29, 0.030527016147971153, 2, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6964017Z %quantized_decomposed_dequantize_per_tensor_default_93 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_55, 0.030527016147971153, 2, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6966505Z %aten__to_copy_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant80,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.6968611Z %aten_add_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_93, %aten__to_copy_default_13), kwargs = {}) 2024-06-26T05:20:08.6970528Z %aten_clamp_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_16, 0), kwargs = {}) 2024-06-26T05:20:08.6972250Z %aten_clamp_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_26, None, 6), kwargs = {}) 2024-06-26T05:20:08.6974055Z %aten_div_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_27, %_lifted_tensor_constant81), kwargs = {}) 2024-06-26T05:20:08.6976529Z %quantized_decomposed_quantize_per_tensor_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_13, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6979638Z %quantized_decomposed_dequantize_per_tensor_default_94 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_56, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6982473Z %aten_mul_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_94, %quantized_decomposed_dequantize_per_tensor_default_87), kwargs = {}) 2024-06-26T05:20:08.6985294Z %quantized_decomposed_quantize_per_tensor_default_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_13, 0.01619456522166729, -105, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6988428Z %quantized_decomposed_dequantize_per_tensor_default_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_57, 0.01619456522166729, -105, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6991471Z %quantized_decomposed_dequantize_per_tensor_default_96 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param30, 0.0081296656280756, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.6994468Z %aten_convolution_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_95, %quantized_decomposed_dequantize_per_tensor_default_96, %p_features_7_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.6997776Z %quantized_decomposed_quantize_per_tensor_default_58 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_30, 0.024070139974355698, 22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7001059Z %quantized_decomposed_dequantize_per_tensor_default_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_58, 0.024070139974355698, 22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7004337Z %quantized_decomposed_dequantize_per_tensor_default_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_58, 0.024070139974355698, 22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7007430Z %quantized_decomposed_dequantize_per_tensor_default_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param31, 0.004416964948177338, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7010442Z %aten_convolution_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_98, %quantized_decomposed_dequantize_per_tensor_default_99, %p_features_8_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7013693Z %quantized_decomposed_quantize_per_tensor_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_31, 0.025641022250056267, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7016810Z %quantized_decomposed_dequantize_per_tensor_default_100 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_59, 0.025641022250056267, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7019300Z %aten__to_copy_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant82,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.7021417Z %aten_add_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_100, %aten__to_copy_default_14), kwargs = {}) 2024-06-26T05:20:08.7023389Z %aten_clamp_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_17, 0), kwargs = {}) 2024-06-26T05:20:08.7025108Z %aten_clamp_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_28, None, 6), kwargs = {}) 2024-06-26T05:20:08.7027099Z %aten_mul_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_100, %aten_clamp_default_29), kwargs = {}) 2024-06-26T05:20:08.7029092Z %aten_div_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_14, %_lifted_tensor_constant83), kwargs = {}) 2024-06-26T05:20:08.7031549Z %quantized_decomposed_quantize_per_tensor_default_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_14, 0.011949035339057446, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7034683Z %quantized_decomposed_dequantize_per_tensor_default_101 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_60, 0.011949035339057446, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7037996Z %quantized_decomposed_dequantize_per_tensor_default_102 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param32, 0.16769732534885406, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7041071Z %aten_convolution_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_101, %quantized_decomposed_dequantize_per_tensor_default_102, %p_features_8_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], False, [0, 0], 144), kwargs = {}) 2024-06-26T05:20:08.7044470Z %quantized_decomposed_quantize_per_tensor_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_32, 0.048460617661476135, -29, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7047813Z %quantized_decomposed_dequantize_per_tensor_default_103 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_61, 0.048460617661476135, -29, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7050323Z %aten__to_copy_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant84,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.7052385Z %aten_add_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_103, %aten__to_copy_default_15), kwargs = {}) 2024-06-26T05:20:08.7054322Z %aten_clamp_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_18, 0), kwargs = {}) 2024-06-26T05:20:08.7056027Z %aten_clamp_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_30, None, 6), kwargs = {}) 2024-06-26T05:20:08.7057972Z %aten_mul_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_103, %aten_clamp_default_31), kwargs = {}) 2024-06-26T05:20:08.7060110Z %aten_div_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_15, %_lifted_tensor_constant85), kwargs = {}) 2024-06-26T05:20:08.7062572Z %quantized_decomposed_quantize_per_tensor_default_62 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_15, 0.03118317574262619, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7065699Z %quantized_decomposed_dequantize_per_tensor_default_104 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_62, 0.03118317574262619, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7068973Z %quantized_decomposed_dequantize_per_tensor_default_105 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_62, 0.03118317574262619, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7071632Z %aten_mean_dim_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_105, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.7074198Z %quantized_decomposed_quantize_per_tensor_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_5, 0.03118317574262619, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7077265Z %quantized_decomposed_dequantize_per_tensor_default_106 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_63, 0.03118317574262619, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7080534Z %quantized_decomposed_dequantize_per_tensor_default_107 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param33, 0.012662169523537159, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7083625Z %aten_convolution_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_106, %quantized_decomposed_dequantize_per_tensor_default_107, %p_features_8_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7086140Z %aten_relu_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_33,), kwargs = {}) 2024-06-26T05:20:08.7088543Z %quantized_decomposed_quantize_per_tensor_default_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_10, 0.007088127546012402, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7091658Z %quantized_decomposed_dequantize_per_tensor_default_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_64, 0.007088127546012402, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7094741Z %quantized_decomposed_dequantize_per_tensor_default_109 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param34, 0.010558309964835644, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7097749Z %aten_convolution_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_108, %quantized_decomposed_dequantize_per_tensor_default_109, %p_features_8_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7101081Z %quantized_decomposed_quantize_per_tensor_default_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_34, 0.026264198124408722, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7104245Z %quantized_decomposed_dequantize_per_tensor_default_110 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_65, 0.026264198124408722, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7106743Z %aten__to_copy_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant86,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.7108790Z %aten_add_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_110, %aten__to_copy_default_16), kwargs = {}) 2024-06-26T05:20:08.7110770Z %aten_clamp_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_19, 0), kwargs = {}) 2024-06-26T05:20:08.7112491Z %aten_clamp_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_32, None, 6), kwargs = {}) 2024-06-26T05:20:08.7114305Z %aten_div_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_33, %_lifted_tensor_constant87), kwargs = {}) 2024-06-26T05:20:08.7116781Z %quantized_decomposed_quantize_per_tensor_default_66 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_16, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7120083Z %quantized_decomposed_dequantize_per_tensor_default_111 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_66, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7122866Z %aten_mul_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_111, %quantized_decomposed_dequantize_per_tensor_default_104), kwargs = {}) 2024-06-26T05:20:08.7125653Z %quantized_decomposed_quantize_per_tensor_default_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_16, 0.004916020669043064, -59, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7128752Z %quantized_decomposed_dequantize_per_tensor_default_112 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_67, 0.004916020669043064, -59, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7131815Z %quantized_decomposed_dequantize_per_tensor_default_113 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param35, 0.026196502149105072, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7134851Z %aten_convolution_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_112, %quantized_decomposed_dequantize_per_tensor_default_113, %p_features_8_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7138156Z %quantized_decomposed_quantize_per_tensor_default_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_35, 0.02248125523328781, -22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7141345Z %quantized_decomposed_dequantize_per_tensor_default_114 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_68, 0.02248125523328781, -22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7144159Z %aten_add_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_114, %quantized_decomposed_dequantize_per_tensor_default_97), kwargs = {}) 2024-06-26T05:20:08.7147025Z %quantized_decomposed_quantize_per_tensor_default_69 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_add_tensor_20, 0.031199263408780098, 15, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7150167Z %quantized_decomposed_dequantize_per_tensor_default_115 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_69, 0.031199263408780098, 15, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7153255Z %quantized_decomposed_dequantize_per_tensor_default_116 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param36, 0.00884885061532259, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7156267Z %aten_convolution_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_115, %quantized_decomposed_dequantize_per_tensor_default_116, %p_features_9_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7159684Z %quantized_decomposed_quantize_per_tensor_default_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_36, 0.03163875266909599, 24, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7162797Z %quantized_decomposed_dequantize_per_tensor_default_117 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_70, 0.03163875266909599, 24, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7165287Z %aten__to_copy_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant88,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.7167347Z %aten_add_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_117, %aten__to_copy_default_17), kwargs = {}) 2024-06-26T05:20:08.7169276Z %aten_clamp_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_21, 0), kwargs = {}) 2024-06-26T05:20:08.7171009Z %aten_clamp_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_34, None, 6), kwargs = {}) 2024-06-26T05:20:08.7172960Z %aten_mul_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_117, %aten_clamp_default_35), kwargs = {}) 2024-06-26T05:20:08.7174992Z %aten_div_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_17, %_lifted_tensor_constant89), kwargs = {}) 2024-06-26T05:20:08.7177453Z %quantized_decomposed_quantize_per_tensor_default_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_17, 0.01833176054060459, -108, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7180616Z %quantized_decomposed_dequantize_per_tensor_default_118 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_71, 0.01833176054060459, -108, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7183685Z %quantized_decomposed_dequantize_per_tensor_default_119 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param37, 0.07351506501436234, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7186760Z %aten_convolution_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_118, %quantized_decomposed_dequantize_per_tensor_default_119, %p_features_9_block_1_0_weight_bias, [2, 2], [2, 2], [1, 1], False, [0, 0], 288), kwargs = {}) 2024-06-26T05:20:08.7190261Z %quantized_decomposed_quantize_per_tensor_default_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_37, 0.024372998625040054, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7193382Z %quantized_decomposed_dequantize_per_tensor_default_120 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_72, 0.024372998625040054, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7195873Z %aten__to_copy_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant90,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.7198137Z %aten_add_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_120, %aten__to_copy_default_18), kwargs = {}) 2024-06-26T05:20:08.7200070Z %aten_clamp_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_22, 0), kwargs = {}) 2024-06-26T05:20:08.7201774Z %aten_clamp_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_36, None, 6), kwargs = {}) 2024-06-26T05:20:08.7203733Z %aten_mul_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_120, %aten_clamp_default_37), kwargs = {}) 2024-06-26T05:20:08.7205721Z %aten_div_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_18, %_lifted_tensor_constant91), kwargs = {}) 2024-06-26T05:20:08.7208249Z %quantized_decomposed_quantize_per_tensor_default_73 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_18, 0.01140967570245266, -95, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7211808Z %quantized_decomposed_dequantize_per_tensor_default_121 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_73, 0.01140967570245266, -95, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7215131Z %quantized_decomposed_dequantize_per_tensor_default_122 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_73, 0.01140967570245266, -95, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7217840Z %aten_mean_dim_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_122, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.7220434Z %quantized_decomposed_quantize_per_tensor_default_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_6, 0.01140967570245266, -95, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7223501Z %quantized_decomposed_dequantize_per_tensor_default_123 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_74, 0.01140967570245266, -95, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7226626Z %quantized_decomposed_dequantize_per_tensor_default_124 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param38, 0.010171673260629177, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7229888Z %aten_convolution_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_123, %quantized_decomposed_dequantize_per_tensor_default_124, %p_features_9_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7232407Z %aten_relu_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_38,), kwargs = {}) 2024-06-26T05:20:08.7234825Z %quantized_decomposed_quantize_per_tensor_default_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_11, 0.009128252975642681, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7238129Z %quantized_decomposed_dequantize_per_tensor_default_125 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_75, 0.009128252975642681, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7241236Z %quantized_decomposed_dequantize_per_tensor_default_126 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param39, 0.009884593077003956, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7244238Z %aten_convolution_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_125, %quantized_decomposed_dequantize_per_tensor_default_126, %p_features_9_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7247476Z %quantized_decomposed_quantize_per_tensor_default_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_39, 0.021795842796564102, -18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7250627Z %quantized_decomposed_dequantize_per_tensor_default_127 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_76, 0.021795842796564102, -18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7253167Z %aten__to_copy_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant92,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.7255230Z %aten_add_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_127, %aten__to_copy_default_19), kwargs = {}) 2024-06-26T05:20:08.7257201Z %aten_clamp_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_23, 0), kwargs = {}) 2024-06-26T05:20:08.7258925Z %aten_clamp_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_38, None, 6), kwargs = {}) 2024-06-26T05:20:08.7260805Z %aten_div_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_39, %_lifted_tensor_constant93), kwargs = {}) 2024-06-26T05:20:08.7263278Z %quantized_decomposed_quantize_per_tensor_default_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_19, 0.003919846843928099, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7266462Z %quantized_decomposed_dequantize_per_tensor_default_128 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_77, 0.003919846843928099, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7269234Z %aten_mul_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_128, %quantized_decomposed_dequantize_per_tensor_default_121), kwargs = {}) 2024-06-26T05:20:08.7272024Z %quantized_decomposed_quantize_per_tensor_default_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_19, 0.004031462594866753, -41, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7275162Z %quantized_decomposed_dequantize_per_tensor_default_129 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_78, 0.004031462594866753, -41, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7278380Z %quantized_decomposed_dequantize_per_tensor_default_130 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param40, 0.009600795805454254, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7281404Z %aten_convolution_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_129, %quantized_decomposed_dequantize_per_tensor_default_130, %p_features_9_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7284654Z %quantized_decomposed_quantize_per_tensor_default_79 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_40, 0.01110239140689373, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7287761Z %quantized_decomposed_dequantize_per_tensor_default_131 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_79, 0.01110239140689373, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7291065Z %quantized_decomposed_dequantize_per_tensor_default_132 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_79, 0.01110239140689373, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7294143Z %quantized_decomposed_dequantize_per_tensor_default_133 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param41, 0.008772623725235462, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7297217Z %aten_convolution_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_132, %quantized_decomposed_dequantize_per_tensor_default_133, %p_features_10_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7300544Z %quantized_decomposed_quantize_per_tensor_default_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_41, 0.019899852573871613, 45, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7303711Z %quantized_decomposed_dequantize_per_tensor_default_134 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_80, 0.019899852573871613, 45, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7306207Z %aten__to_copy_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant94,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.7308254Z %aten_add_tensor_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_134, %aten__to_copy_default_20), kwargs = {}) 2024-06-26T05:20:08.7310196Z %aten_clamp_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_24, 0), kwargs = {}) 2024-06-26T05:20:08.7311962Z %aten_clamp_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_40, None, 6), kwargs = {}) 2024-06-26T05:20:08.7313918Z %aten_mul_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_134, %aten_clamp_default_41), kwargs = {}) 2024-06-26T05:20:08.7315894Z %aten_div_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_20, %_lifted_tensor_constant95), kwargs = {}) 2024-06-26T05:20:08.7318491Z %quantized_decomposed_quantize_per_tensor_default_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_20, 0.00641461880877614, -70, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7321580Z %quantized_decomposed_dequantize_per_tensor_default_135 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_81, 0.00641461880877614, -70, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7324663Z %quantized_decomposed_dequantize_per_tensor_default_136 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param42, 0.14382794499397278, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7327693Z %aten_convolution_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_135, %quantized_decomposed_dequantize_per_tensor_default_136, %p_features_10_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], False, [0, 0], 576), kwargs = {}) 2024-06-26T05:20:08.7331011Z %quantized_decomposed_quantize_per_tensor_default_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_42, 0.0376562774181366, 18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7334161Z %quantized_decomposed_dequantize_per_tensor_default_137 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_82, 0.0376562774181366, 18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7336724Z %aten__to_copy_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant96,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.7338795Z %aten_add_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_137, %aten__to_copy_default_21), kwargs = {}) 2024-06-26T05:20:08.7340858Z %aten_clamp_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_25, 0), kwargs = {}) 2024-06-26T05:20:08.7342581Z %aten_clamp_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_42, None, 6), kwargs = {}) 2024-06-26T05:20:08.7344527Z %aten_mul_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_137, %aten_clamp_default_43), kwargs = {}) 2024-06-26T05:20:08.7346666Z %aten_div_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_21, %_lifted_tensor_constant97), kwargs = {}) 2024-06-26T05:20:08.7349150Z %quantized_decomposed_quantize_per_tensor_default_83 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_21, 0.01763603463768959, -107, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7352304Z %quantized_decomposed_dequantize_per_tensor_default_138 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_83, 0.01763603463768959, -107, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7355575Z %quantized_decomposed_dequantize_per_tensor_default_139 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_83, 0.01763603463768959, -107, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7358397Z %aten_mean_dim_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_139, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.7360932Z %quantized_decomposed_quantize_per_tensor_default_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_7, 0.01763603463768959, -107, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7363995Z %quantized_decomposed_dequantize_per_tensor_default_140 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_84, 0.01763603463768959, -107, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7367122Z %quantized_decomposed_dequantize_per_tensor_default_141 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param43, 0.012263336218893528, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7370140Z %aten_convolution_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_140, %quantized_decomposed_dequantize_per_tensor_default_141, %p_features_10_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7372682Z %aten_relu_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_43,), kwargs = {}) 2024-06-26T05:20:08.7375107Z %quantized_decomposed_quantize_per_tensor_default_85 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_12, 0.012923299334943295, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7378285Z %quantized_decomposed_dequantize_per_tensor_default_142 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_85, 0.012923299334943295, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7381427Z %quantized_decomposed_dequantize_per_tensor_default_143 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param44, 0.018498629331588745, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7384433Z %aten_convolution_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_142, %quantized_decomposed_dequantize_per_tensor_default_143, %p_features_10_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7387659Z %quantized_decomposed_quantize_per_tensor_default_86 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_44, 0.027909470722079277, 19, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7390821Z %quantized_decomposed_dequantize_per_tensor_default_144 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_86, 0.027909470722079277, 19, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7393304Z %aten__to_copy_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant98,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.7395349Z %aten_add_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_144, %aten__to_copy_default_22), kwargs = {}) 2024-06-26T05:20:08.7397272Z %aten_clamp_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_26, 0), kwargs = {}) 2024-06-26T05:20:08.7399131Z %aten_clamp_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_44, None, 6), kwargs = {}) 2024-06-26T05:20:08.7400939Z %aten_div_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_45, %_lifted_tensor_constant99), kwargs = {}) 2024-06-26T05:20:08.7403416Z %quantized_decomposed_quantize_per_tensor_default_87 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_22, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7406582Z %quantized_decomposed_dequantize_per_tensor_default_145 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_87, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7409397Z %aten_mul_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_145, %quantized_decomposed_dequantize_per_tensor_default_138), kwargs = {}) 2024-06-26T05:20:08.7412161Z %quantized_decomposed_quantize_per_tensor_default_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_22, 0.0032222322188317776, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7415278Z %quantized_decomposed_dequantize_per_tensor_default_146 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_88, 0.0032222322188317776, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7418407Z %quantized_decomposed_dequantize_per_tensor_default_147 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param45, 0.018573224544525146, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7421490Z %aten_convolution_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_146, %quantized_decomposed_dequantize_per_tensor_default_147, %p_features_10_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7424751Z %quantized_decomposed_quantize_per_tensor_default_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_45, 0.00877588801085949, 10, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7427912Z %quantized_decomposed_dequantize_per_tensor_default_148 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_89, 0.00877588801085949, 10, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7430677Z %aten_add_tensor_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_148, %quantized_decomposed_dequantize_per_tensor_default_131), kwargs = {}) 2024-06-26T05:20:08.7433429Z %quantized_decomposed_quantize_per_tensor_default_90 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_add_tensor_27, 0.014860447496175766, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7436510Z %quantized_decomposed_dequantize_per_tensor_default_149 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_90, 0.014860447496175766, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7439927Z %quantized_decomposed_dequantize_per_tensor_default_150 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_90, 0.014860447496175766, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7442986Z %quantized_decomposed_dequantize_per_tensor_default_151 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param46, 0.00417760293930769, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7446071Z %aten_convolution_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_150, %quantized_decomposed_dequantize_per_tensor_default_151, %p_features_11_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7449357Z %quantized_decomposed_quantize_per_tensor_default_91 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_46, 0.0185867790132761, 37, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7452462Z %quantized_decomposed_dequantize_per_tensor_default_152 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_91, 0.0185867790132761, 37, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7454934Z %aten__to_copy_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant100,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.7457048Z %aten_add_tensor_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_152, %aten__to_copy_default_23), kwargs = {}) 2024-06-26T05:20:08.7458970Z %aten_clamp_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_28, 0), kwargs = {}) 2024-06-26T05:20:08.7460760Z %aten_clamp_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_46, None, 6), kwargs = {}) 2024-06-26T05:20:08.7462707Z %aten_mul_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_152, %aten_clamp_default_47), kwargs = {}) 2024-06-26T05:20:08.7464735Z %aten_div_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_23, %_lifted_tensor_constant101), kwargs = {}) 2024-06-26T05:20:08.7467190Z %quantized_decomposed_quantize_per_tensor_default_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_23, 0.007042103912681341, -75, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7470245Z %quantized_decomposed_dequantize_per_tensor_default_153 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_92, 0.007042103912681341, -75, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7473309Z %quantized_decomposed_dequantize_per_tensor_default_154 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param47, 0.14140361547470093, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7476340Z %aten_convolution_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_153, %quantized_decomposed_dequantize_per_tensor_default_154, %p_features_11_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], False, [0, 0], 576), kwargs = {}) 2024-06-26T05:20:08.7479719Z %quantized_decomposed_quantize_per_tensor_default_93 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_47, 0.02328273467719555, 6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7482858Z %quantized_decomposed_dequantize_per_tensor_default_155 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_93, 0.02328273467719555, 6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7485401Z %aten__to_copy_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant102,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.7487457Z %aten_add_tensor_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_155, %aten__to_copy_default_24), kwargs = {}) 2024-06-26T05:20:08.7489389Z %aten_clamp_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_29, 0), kwargs = {}) 2024-06-26T05:20:08.7491103Z %aten_clamp_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_48, None, 6), kwargs = {}) 2024-06-26T05:20:08.7493089Z %aten_mul_tensor_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_155, %aten_clamp_default_49), kwargs = {}) 2024-06-26T05:20:08.7495084Z %aten_div_tensor_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_24, %_lifted_tensor_constant103), kwargs = {}) 2024-06-26T05:20:08.7497543Z %quantized_decomposed_quantize_per_tensor_default_94 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_24, 0.01215140800923109, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7500695Z %quantized_decomposed_dequantize_per_tensor_default_156 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_94, 0.01215140800923109, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7504018Z %quantized_decomposed_dequantize_per_tensor_default_157 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_94, 0.01215140800923109, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7506679Z %aten_mean_dim_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_157, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.7509187Z %quantized_decomposed_quantize_per_tensor_default_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_8, 0.01215140800923109, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7512257Z %quantized_decomposed_dequantize_per_tensor_default_158 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_95, 0.01215140800923109, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7515335Z %quantized_decomposed_dequantize_per_tensor_default_159 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param48, 0.009612107649445534, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7518477Z %aten_convolution_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_158, %quantized_decomposed_dequantize_per_tensor_default_159, %p_features_11_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7521037Z %aten_relu_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_48,), kwargs = {}) 2024-06-26T05:20:08.7523498Z %quantized_decomposed_quantize_per_tensor_default_96 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_13, 0.010896197520196438, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7526587Z %quantized_decomposed_dequantize_per_tensor_default_160 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_96, 0.010896197520196438, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7529654Z %quantized_decomposed_dequantize_per_tensor_default_161 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param49, 0.01122909877449274, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7532718Z %aten_convolution_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_160, %quantized_decomposed_dequantize_per_tensor_default_161, %p_features_11_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7535957Z %quantized_decomposed_quantize_per_tensor_default_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_49, 0.028667936101555824, 32, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7539088Z %quantized_decomposed_dequantize_per_tensor_default_162 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_97, 0.028667936101555824, 32, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7541681Z %aten__to_copy_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant104,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.7543749Z %aten_add_tensor_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_162, %aten__to_copy_default_25), kwargs = {}) 2024-06-26T05:20:08.7545661Z %aten_clamp_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_30, 0), kwargs = {}) 2024-06-26T05:20:08.7547378Z %aten_clamp_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_50, None, 6), kwargs = {}) 2024-06-26T05:20:08.7549186Z %aten_div_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_51, %_lifted_tensor_constant105), kwargs = {}) 2024-06-26T05:20:08.7551805Z %quantized_decomposed_quantize_per_tensor_default_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_25, 0.0037384959869086742, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7554910Z %quantized_decomposed_dequantize_per_tensor_default_163 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_98, 0.0037384959869086742, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7557724Z %aten_mul_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_163, %quantized_decomposed_dequantize_per_tensor_default_156), kwargs = {}) 2024-06-26T05:20:08.7560668Z %quantized_decomposed_quantize_per_tensor_default_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_25, 0.004264030139893293, -44, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7563839Z %quantized_decomposed_dequantize_per_tensor_default_164 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_99, 0.004264030139893293, -44, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7566913Z %quantized_decomposed_dequantize_per_tensor_default_165 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param50, 0.020246243104338646, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7569996Z %aten_convolution_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_164, %quantized_decomposed_dequantize_per_tensor_default_165, %p_features_11_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7573228Z %quantized_decomposed_quantize_per_tensor_default_100 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_50, 0.012517928145825863, -6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7576331Z %quantized_decomposed_dequantize_per_tensor_default_166 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_100, 0.012517928145825863, -6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7579140Z %aten_add_tensor_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_166, %quantized_decomposed_dequantize_per_tensor_default_149), kwargs = {}) 2024-06-26T05:20:08.7581990Z %quantized_decomposed_quantize_per_tensor_default_101 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_add_tensor_31, 0.018566593527793884, -9, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7585058Z %quantized_decomposed_dequantize_per_tensor_default_167 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_101, 0.018566593527793884, -9, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7588136Z %quantized_decomposed_dequantize_per_tensor_default_168 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param51, 0.009127296507358551, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7591121Z %aten_convolution_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_167, %quantized_decomposed_dequantize_per_tensor_default_168, %p_features_12_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7594336Z %quantized_decomposed_quantize_per_tensor_default_102 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_51, 0.04112740606069565, 26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7597525Z %quantized_decomposed_dequantize_per_tensor_default_169 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_102, 0.04112740606069565, 26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7600197Z %aten__to_copy_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant106,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.7602272Z %aten_add_tensor_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_169, %aten__to_copy_default_26), kwargs = {}) 2024-06-26T05:20:08.7604195Z %aten_clamp_default_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_32, 0), kwargs = {}) 2024-06-26T05:20:08.7605921Z %aten_clamp_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_52, None, 6), kwargs = {}) 2024-06-26T05:20:08.7607907Z %aten_mul_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_169, %aten_clamp_default_53), kwargs = {}) 2024-06-26T05:20:08.7609900Z %aten_div_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_26, %_lifted_tensor_constant107), kwargs = {}) 2024-06-26T05:20:08.7612368Z %quantized_decomposed_quantize_per_tensor_default_103 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_26, 0.019389724358916283, -109, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7615488Z %quantized_decomposed_dequantize_per_tensor_default_170 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_103, 0.019389724358916283, -109, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7618216Z %aten_mean_dim_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_170, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.7620817Z %quantized_decomposed_quantize_per_tensor_default_104 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_9, 0.019389724358916283, -109, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7623898Z %quantized_decomposed_dequantize_per_tensor_default_171 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_104, 0.019389724358916283, -109, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7626501Z %aten_view_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_tensor_default_171, [1, 576]), kwargs = {}) 2024-06-26T05:20:08.7629116Z %quantized_decomposed_quantize_per_tensor_default_105 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_view_copy_default, 0.019389724358916283, -109, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7632235Z %quantized_decomposed_dequantize_per_tensor_default_172 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_105, 0.019389724358916283, -109, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7635351Z %quantized_decomposed_dequantize_per_tensor_default_173 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param52, 0.01189471036195755, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7637821Z %aten_permute_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_tensor_default_173, [1, 0]), kwargs = {}) 2024-06-26T05:20:08.7640278Z %aten_addmm_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.addmm.default](args = (%p_classifier_0_bias, %quantized_decomposed_dequantize_per_tensor_default_172, %aten_permute_copy_default), kwargs = {}) 2024-06-26T05:20:08.7643032Z %quantized_decomposed_quantize_per_tensor_default_106 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_addmm_default, 0.02772076614201069, 62, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7646171Z %quantized_decomposed_dequantize_per_tensor_default_174 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_106, 0.02772076614201069, 62, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7648671Z %aten__to_copy_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant108,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.7651053Z %aten_add_tensor_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_174, %aten__to_copy_default_27), kwargs = {}) 2024-06-26T05:20:08.7653100Z %aten_clamp_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_33, 0), kwargs = {}) 2024-06-26T05:20:08.7654815Z %aten_clamp_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_54, None, 6), kwargs = {}) 2024-06-26T05:20:08.7656831Z %aten_mul_tensor_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_174, %aten_clamp_default_55), kwargs = {}) 2024-06-26T05:20:08.7658827Z %aten_div_tensor_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_27, %_lifted_tensor_constant109), kwargs = {}) 2024-06-26T05:20:08.7661365Z %quantized_decomposed_quantize_per_tensor_default_107 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_27, 0.007143733557313681, -76, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7664468Z %quantized_decomposed_dequantize_per_tensor_default_175 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_107, 0.007143733557313681, -76, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7667534Z %quantized_decomposed_dequantize_per_tensor_default_176 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param53, 0.005898590665310621, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7669987Z %aten_permute_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_tensor_default_176, [1, 0]), kwargs = {}) 2024-06-26T05:20:08.7672400Z %aten_addmm_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.addmm.default](args = (%p_classifier_3_bias, %quantized_decomposed_dequantize_per_tensor_default_175, %aten_permute_copy_default_1), kwargs = {}) 2024-06-26T05:20:08.7675194Z %quantized_decomposed_quantize_per_tensor_default_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_addmm_default_1, 0.03836249187588692, -18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7678541Z %quantized_decomposed_dequantize_per_tensor_default_177 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_108, 0.03836249187588692, -18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7680436Z return (quantized_decomposed_dequantize_per_tensor_default_177,) 2024-06-26T05:20:08.7680984Z INFO:root:Exported graph: 2024-06-26T05:20:08.7681310Z graph(): 2024-06-26T05:20:08.7681840Z %p_features_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_0_0_weight_bias] 2024-06-26T05:20:08.7682896Z %p_features_1_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_1_block_0_0_weight_bias] 2024-06-26T05:20:08.7683949Z %p_features_1_block_1_fc1_bias : [num_users=1] = placeholder[target=p_features_1_block_1_fc1_bias] 2024-06-26T05:20:08.7684905Z %p_features_1_block_1_fc2_bias : [num_users=1] = placeholder[target=p_features_1_block_1_fc2_bias] 2024-06-26T05:20:08.7685891Z %p_features_1_block_2_0_weight_bias : [num_users=1] = placeholder[target=p_features_1_block_2_0_weight_bias] 2024-06-26T05:20:08.7686925Z %p_features_2_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_2_block_0_0_weight_bias] 2024-06-26T05:20:08.7687964Z %p_features_2_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_2_block_1_0_weight_bias] 2024-06-26T05:20:08.7689007Z %p_features_2_block_2_0_weight_bias : [num_users=1] = placeholder[target=p_features_2_block_2_0_weight_bias] 2024-06-26T05:20:08.7690030Z %p_features_3_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_3_block_0_0_weight_bias] 2024-06-26T05:20:08.7691103Z %p_features_3_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_3_block_1_0_weight_bias] 2024-06-26T05:20:08.7692145Z %p_features_3_block_2_0_weight_bias : [num_users=1] = placeholder[target=p_features_3_block_2_0_weight_bias] 2024-06-26T05:20:08.7693166Z %p_features_4_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_4_block_0_0_weight_bias] 2024-06-26T05:20:08.7694184Z %p_features_4_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_4_block_1_0_weight_bias] 2024-06-26T05:20:08.7695179Z %p_features_4_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_4_block_2_fc1_bias] 2024-06-26T05:20:08.7696131Z %p_features_4_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_4_block_2_fc2_bias] 2024-06-26T05:20:08.7697102Z %p_features_4_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_4_block_3_0_weight_bias] 2024-06-26T05:20:08.7698132Z %p_features_5_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_5_block_0_0_weight_bias] 2024-06-26T05:20:08.7699165Z %p_features_5_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_5_block_1_0_weight_bias] 2024-06-26T05:20:08.7700225Z %p_features_5_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_5_block_2_fc1_bias] 2024-06-26T05:20:08.7701159Z %p_features_5_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_5_block_2_fc2_bias] 2024-06-26T05:20:08.7702155Z %p_features_5_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_5_block_3_0_weight_bias] 2024-06-26T05:20:08.7703240Z %p_features_6_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_6_block_0_0_weight_bias] 2024-06-26T05:20:08.7704265Z %p_features_6_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_6_block_1_0_weight_bias] 2024-06-26T05:20:08.7705258Z %p_features_6_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_6_block_2_fc1_bias] 2024-06-26T05:20:08.7706212Z %p_features_6_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_6_block_2_fc2_bias] 2024-06-26T05:20:08.7707239Z %p_features_6_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_6_block_3_0_weight_bias] 2024-06-26T05:20:08.7708261Z %p_features_7_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_7_block_0_0_weight_bias] 2024-06-26T05:20:08.7709296Z %p_features_7_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_7_block_1_0_weight_bias] 2024-06-26T05:20:08.7710286Z %p_features_7_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_7_block_2_fc1_bias] 2024-06-26T05:20:08.7711226Z %p_features_7_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_7_block_2_fc2_bias] 2024-06-26T05:20:08.7712221Z %p_features_7_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_7_block_3_0_weight_bias] 2024-06-26T05:20:08.7713286Z %p_features_8_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_8_block_0_0_weight_bias] 2024-06-26T05:20:08.7714327Z %p_features_8_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_8_block_1_0_weight_bias] 2024-06-26T05:20:08.7715305Z %p_features_8_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_8_block_2_fc1_bias] 2024-06-26T05:20:08.7716252Z %p_features_8_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_8_block_2_fc2_bias] 2024-06-26T05:20:08.7717239Z %p_features_8_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_8_block_3_0_weight_bias] 2024-06-26T05:20:08.7718484Z %p_features_9_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_9_block_0_0_weight_bias] 2024-06-26T05:20:08.7719511Z %p_features_9_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_9_block_1_0_weight_bias] 2024-06-26T05:20:08.7720503Z %p_features_9_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_9_block_2_fc1_bias] 2024-06-26T05:20:08.7721519Z %p_features_9_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_9_block_2_fc2_bias] 2024-06-26T05:20:08.7722491Z %p_features_9_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_9_block_3_0_weight_bias] 2024-06-26T05:20:08.7723542Z %p_features_10_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_10_block_0_0_weight_bias] 2024-06-26T05:20:08.7724604Z %p_features_10_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_10_block_1_0_weight_bias] 2024-06-26T05:20:08.7725622Z %p_features_10_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_10_block_2_fc1_bias] 2024-06-26T05:20:08.7726581Z %p_features_10_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_10_block_2_fc2_bias] 2024-06-26T05:20:08.7727599Z %p_features_10_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_10_block_3_0_weight_bias] 2024-06-26T05:20:08.7728655Z %p_features_11_block_0_0_weight_bias : [num_users=1] = placeholder[target=p_features_11_block_0_0_weight_bias] 2024-06-26T05:20:08.7729715Z %p_features_11_block_1_0_weight_bias : [num_users=1] = placeholder[target=p_features_11_block_1_0_weight_bias] 2024-06-26T05:20:08.7730717Z %p_features_11_block_2_fc1_bias : [num_users=1] = placeholder[target=p_features_11_block_2_fc1_bias] 2024-06-26T05:20:08.7731683Z %p_features_11_block_2_fc2_bias : [num_users=1] = placeholder[target=p_features_11_block_2_fc2_bias] 2024-06-26T05:20:08.7732687Z %p_features_11_block_3_0_weight_bias : [num_users=1] = placeholder[target=p_features_11_block_3_0_weight_bias] 2024-06-26T05:20:08.7733712Z %p_features_12_0_weight_bias : [num_users=1] = placeholder[target=p_features_12_0_weight_bias] 2024-06-26T05:20:08.7734558Z %p_classifier_0_bias : [num_users=1] = placeholder[target=p_classifier_0_bias] 2024-06-26T05:20:08.7735334Z %p_classifier_3_bias : [num_users=1] = placeholder[target=p_classifier_3_bias] 2024-06-26T05:20:08.7736088Z %b__frozen_param0 : [num_users=1] = placeholder[target=b__frozen_param0] 2024-06-26T05:20:08.7736846Z %b__frozen_param1 : [num_users=1] = placeholder[target=b__frozen_param1] 2024-06-26T05:20:08.7737554Z %b__frozen_param2 : [num_users=1] = placeholder[target=b__frozen_param2] 2024-06-26T05:20:08.7738260Z %b__frozen_param3 : [num_users=1] = placeholder[target=b__frozen_param3] 2024-06-26T05:20:08.7738953Z %b__frozen_param4 : [num_users=1] = placeholder[target=b__frozen_param4] 2024-06-26T05:20:08.7739768Z %b__frozen_param5 : [num_users=1] = placeholder[target=b__frozen_param5] 2024-06-26T05:20:08.7740482Z %b__frozen_param6 : [num_users=1] = placeholder[target=b__frozen_param6] 2024-06-26T05:20:08.7741172Z %b__frozen_param7 : [num_users=1] = placeholder[target=b__frozen_param7] 2024-06-26T05:20:08.7741877Z %b__frozen_param8 : [num_users=1] = placeholder[target=b__frozen_param8] 2024-06-26T05:20:08.7742580Z %b__frozen_param9 : [num_users=1] = placeholder[target=b__frozen_param9] 2024-06-26T05:20:08.7743333Z %b__frozen_param10 : [num_users=1] = placeholder[target=b__frozen_param10] 2024-06-26T05:20:08.7744068Z %b__frozen_param11 : [num_users=1] = placeholder[target=b__frozen_param11] 2024-06-26T05:20:08.7744794Z %b__frozen_param12 : [num_users=1] = placeholder[target=b__frozen_param12] 2024-06-26T05:20:08.7745520Z %b__frozen_param13 : [num_users=1] = placeholder[target=b__frozen_param13] 2024-06-26T05:20:08.7746228Z %b__frozen_param14 : [num_users=1] = placeholder[target=b__frozen_param14] 2024-06-26T05:20:08.7746953Z %b__frozen_param15 : [num_users=1] = placeholder[target=b__frozen_param15] 2024-06-26T05:20:08.7747681Z %b__frozen_param16 : [num_users=1] = placeholder[target=b__frozen_param16] 2024-06-26T05:20:08.7748388Z %b__frozen_param17 : [num_users=1] = placeholder[target=b__frozen_param17] 2024-06-26T05:20:08.7749111Z %b__frozen_param18 : [num_users=1] = placeholder[target=b__frozen_param18] 2024-06-26T05:20:08.7749877Z %b__frozen_param19 : [num_users=1] = placeholder[target=b__frozen_param19] 2024-06-26T05:20:08.7750585Z %b__frozen_param20 : [num_users=1] = placeholder[target=b__frozen_param20] 2024-06-26T05:20:08.7751306Z %b__frozen_param21 : [num_users=1] = placeholder[target=b__frozen_param21] 2024-06-26T05:20:08.7752029Z %b__frozen_param22 : [num_users=1] = placeholder[target=b__frozen_param22] 2024-06-26T05:20:08.7752749Z %b__frozen_param23 : [num_users=1] = placeholder[target=b__frozen_param23] 2024-06-26T05:20:08.7753454Z %b__frozen_param24 : [num_users=1] = placeholder[target=b__frozen_param24] 2024-06-26T05:20:08.7754180Z %b__frozen_param25 : [num_users=1] = placeholder[target=b__frozen_param25] 2024-06-26T05:20:08.7754902Z %b__frozen_param26 : [num_users=1] = placeholder[target=b__frozen_param26] 2024-06-26T05:20:08.7755609Z %b__frozen_param27 : [num_users=1] = placeholder[target=b__frozen_param27] 2024-06-26T05:20:08.7756328Z %b__frozen_param28 : [num_users=1] = placeholder[target=b__frozen_param28] 2024-06-26T05:20:08.7757056Z %b__frozen_param29 : [num_users=1] = placeholder[target=b__frozen_param29] 2024-06-26T05:20:08.7757760Z %b__frozen_param30 : [num_users=1] = placeholder[target=b__frozen_param30] 2024-06-26T05:20:08.7758663Z %b__frozen_param31 : [num_users=1] = placeholder[target=b__frozen_param31] 2024-06-26T05:20:08.7759382Z %b__frozen_param32 : [num_users=1] = placeholder[target=b__frozen_param32] 2024-06-26T05:20:08.7760102Z %b__frozen_param33 : [num_users=1] = placeholder[target=b__frozen_param33] 2024-06-26T05:20:08.7760805Z %b__frozen_param34 : [num_users=1] = placeholder[target=b__frozen_param34] 2024-06-26T05:20:08.7761588Z %b__frozen_param35 : [num_users=1] = placeholder[target=b__frozen_param35] 2024-06-26T05:20:08.7762307Z %b__frozen_param36 : [num_users=1] = placeholder[target=b__frozen_param36] 2024-06-26T05:20:08.7763007Z %b__frozen_param37 : [num_users=1] = placeholder[target=b__frozen_param37] 2024-06-26T05:20:08.7763732Z %b__frozen_param38 : [num_users=1] = placeholder[target=b__frozen_param38] 2024-06-26T05:20:08.7764490Z %b__frozen_param39 : [num_users=1] = placeholder[target=b__frozen_param39] 2024-06-26T05:20:08.7765197Z %b__frozen_param40 : [num_users=1] = placeholder[target=b__frozen_param40] 2024-06-26T05:20:08.7765911Z %b__frozen_param41 : [num_users=1] = placeholder[target=b__frozen_param41] 2024-06-26T05:20:08.7766627Z %b__frozen_param42 : [num_users=1] = placeholder[target=b__frozen_param42] 2024-06-26T05:20:08.7767341Z %b__frozen_param43 : [num_users=1] = placeholder[target=b__frozen_param43] 2024-06-26T05:20:08.7768047Z %b__frozen_param44 : [num_users=1] = placeholder[target=b__frozen_param44] 2024-06-26T05:20:08.7768765Z %b__frozen_param45 : [num_users=1] = placeholder[target=b__frozen_param45] 2024-06-26T05:20:08.7769482Z %b__frozen_param46 : [num_users=1] = placeholder[target=b__frozen_param46] 2024-06-26T05:20:08.7770187Z %b__frozen_param47 : [num_users=1] = placeholder[target=b__frozen_param47] 2024-06-26T05:20:08.7770975Z %b__frozen_param48 : [num_users=1] = placeholder[target=b__frozen_param48] 2024-06-26T05:20:08.7771695Z %b__frozen_param49 : [num_users=1] = placeholder[target=b__frozen_param49] 2024-06-26T05:20:08.7772401Z %b__frozen_param50 : [num_users=1] = placeholder[target=b__frozen_param50] 2024-06-26T05:20:08.7773248Z %b__frozen_param51 : [num_users=1] = placeholder[target=b__frozen_param51] 2024-06-26T05:20:08.7773971Z %b__frozen_param52 : [num_users=1] = placeholder[target=b__frozen_param52] 2024-06-26T05:20:08.7774691Z %b__frozen_param53 : [num_users=1] = placeholder[target=b__frozen_param53] 2024-06-26T05:20:08.7775485Z %_lifted_tensor_constant54 : [num_users=1] = placeholder[target=_lifted_tensor_constant54] 2024-06-26T05:20:08.7776371Z %_lifted_tensor_constant55 : [num_users=1] = placeholder[target=_lifted_tensor_constant55] 2024-06-26T05:20:08.7777242Z %_lifted_tensor_constant56 : [num_users=1] = placeholder[target=_lifted_tensor_constant56] 2024-06-26T05:20:08.7778156Z %_lifted_tensor_constant57 : [num_users=1] = placeholder[target=_lifted_tensor_constant57] 2024-06-26T05:20:08.7779028Z %_lifted_tensor_constant58 : [num_users=1] = placeholder[target=_lifted_tensor_constant58] 2024-06-26T05:20:08.7779971Z %_lifted_tensor_constant59 : [num_users=1] = placeholder[target=_lifted_tensor_constant59] 2024-06-26T05:20:08.7780852Z %_lifted_tensor_constant60 : [num_users=1] = placeholder[target=_lifted_tensor_constant60] 2024-06-26T05:20:08.7781709Z %_lifted_tensor_constant61 : [num_users=1] = placeholder[target=_lifted_tensor_constant61] 2024-06-26T05:20:08.7782588Z %_lifted_tensor_constant62 : [num_users=1] = placeholder[target=_lifted_tensor_constant62] 2024-06-26T05:20:08.7783489Z %_lifted_tensor_constant63 : [num_users=1] = placeholder[target=_lifted_tensor_constant63] 2024-06-26T05:20:08.7784532Z %_lifted_tensor_constant64 : [num_users=1] = placeholder[target=_lifted_tensor_constant64] 2024-06-26T05:20:08.7785412Z %_lifted_tensor_constant65 : [num_users=1] = placeholder[target=_lifted_tensor_constant65] 2024-06-26T05:20:08.7786282Z %_lifted_tensor_constant66 : [num_users=1] = placeholder[target=_lifted_tensor_constant66] 2024-06-26T05:20:08.7787149Z %_lifted_tensor_constant67 : [num_users=1] = placeholder[target=_lifted_tensor_constant67] 2024-06-26T05:20:08.7788008Z %_lifted_tensor_constant68 : [num_users=1] = placeholder[target=_lifted_tensor_constant68] 2024-06-26T05:20:08.7788877Z %_lifted_tensor_constant69 : [num_users=1] = placeholder[target=_lifted_tensor_constant69] 2024-06-26T05:20:08.7789795Z %_lifted_tensor_constant70 : [num_users=1] = placeholder[target=_lifted_tensor_constant70] 2024-06-26T05:20:08.7790648Z %_lifted_tensor_constant71 : [num_users=1] = placeholder[target=_lifted_tensor_constant71] 2024-06-26T05:20:08.7791518Z %_lifted_tensor_constant72 : [num_users=1] = placeholder[target=_lifted_tensor_constant72] 2024-06-26T05:20:08.7792386Z %_lifted_tensor_constant73 : [num_users=1] = placeholder[target=_lifted_tensor_constant73] 2024-06-26T05:20:08.7793290Z %_lifted_tensor_constant74 : [num_users=1] = placeholder[target=_lifted_tensor_constant74] 2024-06-26T05:20:08.7794144Z %_lifted_tensor_constant75 : [num_users=1] = placeholder[target=_lifted_tensor_constant75] 2024-06-26T05:20:08.7795010Z %_lifted_tensor_constant76 : [num_users=1] = placeholder[target=_lifted_tensor_constant76] 2024-06-26T05:20:08.7795877Z %_lifted_tensor_constant77 : [num_users=1] = placeholder[target=_lifted_tensor_constant77] 2024-06-26T05:20:08.7796734Z %_lifted_tensor_constant78 : [num_users=1] = placeholder[target=_lifted_tensor_constant78] 2024-06-26T05:20:08.7797603Z %_lifted_tensor_constant79 : [num_users=1] = placeholder[target=_lifted_tensor_constant79] 2024-06-26T05:20:08.7798720Z %_lifted_tensor_constant80 : [num_users=1] = placeholder[target=_lifted_tensor_constant80] 2024-06-26T05:20:08.7799592Z %_lifted_tensor_constant81 : [num_users=1] = placeholder[target=_lifted_tensor_constant81] 2024-06-26T05:20:08.7800509Z %_lifted_tensor_constant82 : [num_users=1] = placeholder[target=_lifted_tensor_constant82] 2024-06-26T05:20:08.7801382Z %_lifted_tensor_constant83 : [num_users=1] = placeholder[target=_lifted_tensor_constant83] 2024-06-26T05:20:08.7802250Z %_lifted_tensor_constant84 : [num_users=1] = placeholder[target=_lifted_tensor_constant84] 2024-06-26T05:20:08.7803105Z %_lifted_tensor_constant85 : [num_users=1] = placeholder[target=_lifted_tensor_constant85] 2024-06-26T05:20:08.7803971Z %_lifted_tensor_constant86 : [num_users=1] = placeholder[target=_lifted_tensor_constant86] 2024-06-26T05:20:08.7804842Z %_lifted_tensor_constant87 : [num_users=1] = placeholder[target=_lifted_tensor_constant87] 2024-06-26T05:20:08.7805700Z %_lifted_tensor_constant88 : [num_users=1] = placeholder[target=_lifted_tensor_constant88] 2024-06-26T05:20:08.7806557Z %_lifted_tensor_constant89 : [num_users=1] = placeholder[target=_lifted_tensor_constant89] 2024-06-26T05:20:08.7807471Z %_lifted_tensor_constant90 : [num_users=1] = placeholder[target=_lifted_tensor_constant90] 2024-06-26T05:20:08.7808345Z %_lifted_tensor_constant91 : [num_users=1] = placeholder[target=_lifted_tensor_constant91] 2024-06-26T05:20:08.7809197Z %_lifted_tensor_constant92 : [num_users=1] = placeholder[target=_lifted_tensor_constant92] 2024-06-26T05:20:08.7810062Z %_lifted_tensor_constant93 : [num_users=1] = placeholder[target=_lifted_tensor_constant93] 2024-06-26T05:20:08.7810926Z %_lifted_tensor_constant94 : [num_users=1] = placeholder[target=_lifted_tensor_constant94] 2024-06-26T05:20:08.7811783Z %_lifted_tensor_constant95 : [num_users=1] = placeholder[target=_lifted_tensor_constant95] 2024-06-26T05:20:08.7812644Z %_lifted_tensor_constant96 : [num_users=1] = placeholder[target=_lifted_tensor_constant96] 2024-06-26T05:20:08.7813504Z %_lifted_tensor_constant97 : [num_users=1] = placeholder[target=_lifted_tensor_constant97] 2024-06-26T05:20:08.7814371Z %_lifted_tensor_constant98 : [num_users=1] = placeholder[target=_lifted_tensor_constant98] 2024-06-26T05:20:08.7815225Z %_lifted_tensor_constant99 : [num_users=1] = placeholder[target=_lifted_tensor_constant99] 2024-06-26T05:20:08.7816110Z %_lifted_tensor_constant100 : [num_users=1] = placeholder[target=_lifted_tensor_constant100] 2024-06-26T05:20:08.7817015Z %_lifted_tensor_constant101 : [num_users=1] = placeholder[target=_lifted_tensor_constant101] 2024-06-26T05:20:08.7817899Z %_lifted_tensor_constant102 : [num_users=1] = placeholder[target=_lifted_tensor_constant102] 2024-06-26T05:20:08.7818842Z %_lifted_tensor_constant103 : [num_users=1] = placeholder[target=_lifted_tensor_constant103] 2024-06-26T05:20:08.7819815Z %_lifted_tensor_constant104 : [num_users=1] = placeholder[target=_lifted_tensor_constant104] 2024-06-26T05:20:08.7820715Z %_lifted_tensor_constant105 : [num_users=1] = placeholder[target=_lifted_tensor_constant105] 2024-06-26T05:20:08.7821596Z %_lifted_tensor_constant106 : [num_users=1] = placeholder[target=_lifted_tensor_constant106] 2024-06-26T05:20:08.7822532Z %_lifted_tensor_constant107 : [num_users=1] = placeholder[target=_lifted_tensor_constant107] 2024-06-26T05:20:08.7823424Z %_lifted_tensor_constant108 : [num_users=1] = placeholder[target=_lifted_tensor_constant108] 2024-06-26T05:20:08.7824305Z %_lifted_tensor_constant109 : [num_users=1] = placeholder[target=_lifted_tensor_constant109] 2024-06-26T05:20:08.7824994Z %x : [num_users=1] = placeholder[target=x] 2024-06-26T05:20:08.7826781Z %quantized_decomposed_quantize_per_tensor_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%x, 0.032788049429655075, -11, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7829812Z %quantized_decomposed_dequantize_per_tensor_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default, 0.032788049429655075, -11, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7832844Z %quantized_decomposed_dequantize_per_tensor_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param0, 0.13800540566444397, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7835771Z %aten_convolution_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default, %quantized_decomposed_dequantize_per_tensor_default_1, %p_features_0_0_weight_bias, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7839134Z %quantized_decomposed_quantize_per_tensor_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default, 0.9393326044082642, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7842175Z %quantized_decomposed_dequantize_per_tensor_default_2 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_1, 0.9393326044082642, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7844627Z %aten__to_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant54,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.7846640Z %aten_add_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_2, %aten__to_copy_default), kwargs = {}) 2024-06-26T05:20:08.7848515Z %aten_clamp_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor, 0), kwargs = {}) 2024-06-26T05:20:08.7850186Z %aten_clamp_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default, None, 6), kwargs = {}) 2024-06-26T05:20:08.7852100Z %aten_mul_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_2, %aten_clamp_default_1), kwargs = {}) 2024-06-26T05:20:08.7854029Z %aten_div_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor, %_lifted_tensor_constant55), kwargs = {}) 2024-06-26T05:20:08.7856494Z %quantized_decomposed_quantize_per_tensor_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor, 0.44094163179397583, -127, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7859556Z %quantized_decomposed_dequantize_per_tensor_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_2, 0.44094163179397583, -127, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7862714Z %quantized_decomposed_dequantize_per_tensor_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param1, 0.19347569346427917, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7865715Z %aten_convolution_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_3, %quantized_decomposed_dequantize_per_tensor_default_4, %p_features_1_block_0_0_weight_bias, [2, 2], [1, 1], [1, 1], False, [0, 0], 16), kwargs = {}) 2024-06-26T05:20:08.7868247Z %aten_relu_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_1,), kwargs = {}) 2024-06-26T05:20:08.7870613Z %quantized_decomposed_quantize_per_tensor_default_3 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default, 0.034876748919487, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7873636Z %quantized_decomposed_dequantize_per_tensor_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_3, 0.034876748919487, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7876906Z %quantized_decomposed_dequantize_per_tensor_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_3, 0.034876748919487, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7879712Z %aten_mean_dim : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_6, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.7882190Z %quantized_decomposed_quantize_per_tensor_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim, 0.034876748919487, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7885226Z %quantized_decomposed_dequantize_per_tensor_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_4, 0.034876748919487, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7888241Z %quantized_decomposed_dequantize_per_tensor_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param2, 0.000244140625, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7891190Z %aten_convolution_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_7, %quantized_decomposed_dequantize_per_tensor_default_8, %p_features_1_block_1_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7893747Z %aten_relu_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_2,), kwargs = {}) 2024-06-26T05:20:08.7896100Z %quantized_decomposed_quantize_per_tensor_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_1, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7899190Z %quantized_decomposed_dequantize_per_tensor_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_5, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7902255Z %quantized_decomposed_dequantize_per_tensor_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param3, 0.000244140625, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7905230Z %aten_convolution_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_9, %quantized_decomposed_dequantize_per_tensor_default_10, %p_features_1_block_1_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7908485Z %quantized_decomposed_quantize_per_tensor_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_3, 0.009770921431481838, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7911607Z %quantized_decomposed_dequantize_per_tensor_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_6, 0.009770921431481838, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7914089Z %aten__to_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant56,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.7916163Z %aten_add_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_11, %aten__to_copy_default_1), kwargs = {}) 2024-06-26T05:20:08.7918317Z %aten_clamp_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_1, 0), kwargs = {}) 2024-06-26T05:20:08.7920024Z %aten_clamp_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_2, None, 6), kwargs = {}) 2024-06-26T05:20:08.7921812Z %aten_div_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_3, %_lifted_tensor_constant57), kwargs = {}) 2024-06-26T05:20:08.7924280Z %quantized_decomposed_quantize_per_tensor_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_1, 0.0028459904715418816, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7927374Z %quantized_decomposed_dequantize_per_tensor_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_7, 0.0028459904715418816, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7930143Z %aten_mul_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_12, %quantized_decomposed_dequantize_per_tensor_default_5), kwargs = {}) 2024-06-26T05:20:08.7932994Z %quantized_decomposed_quantize_per_tensor_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_1, 0.01608487404882908, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7936067Z %quantized_decomposed_dequantize_per_tensor_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_8, 0.01608487404882908, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7939156Z %quantized_decomposed_dequantize_per_tensor_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param4, 0.0519644133746624, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7942219Z %aten_convolution_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_13, %quantized_decomposed_dequantize_per_tensor_default_14, %p_features_1_block_2_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7945500Z %quantized_decomposed_quantize_per_tensor_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_4, 0.09980341047048569, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7948599Z %quantized_decomposed_dequantize_per_tensor_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_9, 0.09980341047048569, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7951647Z %quantized_decomposed_dequantize_per_tensor_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param5, 0.007365490775555372, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7954692Z %aten_convolution_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_15, %quantized_decomposed_dequantize_per_tensor_default_16, %p_features_2_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7957199Z %aten_relu_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_5,), kwargs = {}) 2024-06-26T05:20:08.7959770Z %quantized_decomposed_quantize_per_tensor_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_2, 0.037708066403865814, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7962888Z %quantized_decomposed_dequantize_per_tensor_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_10, 0.037708066403865814, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7965930Z %quantized_decomposed_dequantize_per_tensor_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param6, 0.10758370906114578, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7968945Z %aten_convolution_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_17, %quantized_decomposed_dequantize_per_tensor_default_18, %p_features_2_block_1_0_weight_bias, [2, 2], [1, 1], [1, 1], False, [0, 0], 72), kwargs = {}) 2024-06-26T05:20:08.7971500Z %aten_relu_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_6,), kwargs = {}) 2024-06-26T05:20:08.7973917Z %quantized_decomposed_quantize_per_tensor_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_3, 0.03328622877597809, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7977166Z %quantized_decomposed_dequantize_per_tensor_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_11, 0.03328622877597809, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7980262Z %quantized_decomposed_dequantize_per_tensor_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param7, 0.014249389991164207, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7983328Z %aten_convolution_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_19, %quantized_decomposed_dequantize_per_tensor_default_20, %p_features_2_block_2_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.7986765Z %quantized_decomposed_quantize_per_tensor_default_12 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_7, 0.0718260332942009, 30, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7989874Z %quantized_decomposed_dequantize_per_tensor_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_12, 0.0718260332942009, 30, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7993197Z %quantized_decomposed_dequantize_per_tensor_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_12, 0.0718260332942009, 30, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7996233Z %quantized_decomposed_dequantize_per_tensor_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param8, 0.00496926112100482, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.7999415Z %aten_convolution_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_22, %quantized_decomposed_dequantize_per_tensor_default_23, %p_features_3_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8001926Z %aten_relu_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_8,), kwargs = {}) 2024-06-26T05:20:08.8004332Z %quantized_decomposed_quantize_per_tensor_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_4, 0.014371058903634548, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8007428Z %quantized_decomposed_dequantize_per_tensor_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_13, 0.014371058903634548, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8010551Z %quantized_decomposed_dequantize_per_tensor_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param9, 0.08777822554111481, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8013555Z %aten_convolution_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_24, %quantized_decomposed_dequantize_per_tensor_default_25, %p_features_3_block_1_0_weight_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 88), kwargs = {}) 2024-06-26T05:20:08.8016117Z %aten_relu_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_9,), kwargs = {}) 2024-06-26T05:20:08.8018508Z %quantized_decomposed_quantize_per_tensor_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_5, 0.016539663076400757, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8021751Z %quantized_decomposed_dequantize_per_tensor_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_14, 0.016539663076400757, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8024807Z %quantized_decomposed_dequantize_per_tensor_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param10, 0.018993781879544258, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8027821Z %aten_convolution_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_26, %quantized_decomposed_dequantize_per_tensor_default_27, %p_features_3_block_2_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8031103Z %quantized_decomposed_quantize_per_tensor_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_10, 0.05505416914820671, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8034215Z %quantized_decomposed_dequantize_per_tensor_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_15, 0.05505416914820671, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8036935Z %aten_add_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_28, %quantized_decomposed_dequantize_per_tensor_default_21), kwargs = {}) 2024-06-26T05:20:08.8039866Z %quantized_decomposed_quantize_per_tensor_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_add_tensor_2, 0.07785440236330032, 14, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8042931Z %quantized_decomposed_dequantize_per_tensor_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_16, 0.07785440236330032, 14, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8045967Z %quantized_decomposed_dequantize_per_tensor_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param11, 0.01391826756298542, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8049139Z %aten_convolution_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_29, %quantized_decomposed_dequantize_per_tensor_default_30, %p_features_4_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8052399Z %quantized_decomposed_quantize_per_tensor_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_11, 0.06801324337720871, 10, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8055538Z %quantized_decomposed_dequantize_per_tensor_default_31 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_17, 0.06801324337720871, 10, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8058211Z %aten__to_copy_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant58,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8060378Z %aten_add_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_31, %aten__to_copy_default_2), kwargs = {}) 2024-06-26T05:20:08.8062294Z %aten_clamp_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_3, 0), kwargs = {}) 2024-06-26T05:20:08.8063992Z %aten_clamp_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_4, None, 6), kwargs = {}) 2024-06-26T05:20:08.8065933Z %aten_mul_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_31, %aten_clamp_default_5), kwargs = {}) 2024-06-26T05:20:08.8067895Z %aten_div_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_2, %_lifted_tensor_constant59), kwargs = {}) 2024-06-26T05:20:08.8070389Z %quantized_decomposed_quantize_per_tensor_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_2, 0.032782215625047684, -117, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8073482Z %quantized_decomposed_dequantize_per_tensor_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_18, 0.032782215625047684, -117, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8076549Z %quantized_decomposed_dequantize_per_tensor_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param12, 0.12695422768592834, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8079695Z %aten_convolution_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_32, %quantized_decomposed_dequantize_per_tensor_default_33, %p_features_4_block_1_0_weight_bias, [2, 2], [2, 2], [1, 1], False, [0, 0], 96), kwargs = {}) 2024-06-26T05:20:08.8082946Z %quantized_decomposed_quantize_per_tensor_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_12, 0.04807135835289955, -20, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8086072Z %quantized_decomposed_dequantize_per_tensor_default_34 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_19, 0.04807135835289955, -20, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8088621Z %aten__to_copy_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant60,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8090696Z %aten_add_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_34, %aten__to_copy_default_3), kwargs = {}) 2024-06-26T05:20:08.8092592Z %aten_clamp_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_4, 0), kwargs = {}) 2024-06-26T05:20:08.8094284Z %aten_clamp_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_6, None, 6), kwargs = {}) 2024-06-26T05:20:08.8096226Z %aten_mul_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_34, %aten_clamp_default_7), kwargs = {}) 2024-06-26T05:20:08.8098247Z %aten_div_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_3, %_lifted_tensor_constant61), kwargs = {}) 2024-06-26T05:20:08.8100751Z %quantized_decomposed_quantize_per_tensor_default_20 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_3, 0.0298512801527977, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8103824Z %quantized_decomposed_dequantize_per_tensor_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_20, 0.0298512801527977, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8107120Z %quantized_decomposed_dequantize_per_tensor_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_20, 0.0298512801527977, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8109796Z %aten_mean_dim_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_36, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.8112304Z %quantized_decomposed_quantize_per_tensor_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_1, 0.0298512801527977, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8115363Z %quantized_decomposed_dequantize_per_tensor_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_21, 0.0298512801527977, -115, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8118583Z %quantized_decomposed_dequantize_per_tensor_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param13, 0.023241082206368446, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8121571Z %aten_convolution_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_37, %quantized_decomposed_dequantize_per_tensor_default_38, %p_features_4_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8124125Z %aten_relu_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_13,), kwargs = {}) 2024-06-26T05:20:08.8126506Z %quantized_decomposed_quantize_per_tensor_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_6, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8129579Z %quantized_decomposed_dequantize_per_tensor_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_22, 0.000244140625, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8132627Z %quantized_decomposed_dequantize_per_tensor_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param14, 0.009259029291570187, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8135668Z %aten_convolution_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_39, %quantized_decomposed_dequantize_per_tensor_default_40, %p_features_4_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8138892Z %quantized_decomposed_quantize_per_tensor_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_14, 0.012354371137917042, 25, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8142079Z %quantized_decomposed_dequantize_per_tensor_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_23, 0.012354371137917042, 25, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8144576Z %aten__to_copy_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant62,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8146662Z %aten_add_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_41, %aten__to_copy_default_4), kwargs = {}) 2024-06-26T05:20:08.8148575Z %aten_clamp_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_5, 0), kwargs = {}) 2024-06-26T05:20:08.8150261Z %aten_clamp_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_8, None, 6), kwargs = {}) 2024-06-26T05:20:08.8152051Z %aten_div_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_9, %_lifted_tensor_constant63), kwargs = {}) 2024-06-26T05:20:08.8154512Z %quantized_decomposed_quantize_per_tensor_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_4, 0.0027818952221423388, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8157623Z %quantized_decomposed_dequantize_per_tensor_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_24, 0.0027818952221423388, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8160528Z %aten_mul_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_42, %quantized_decomposed_dequantize_per_tensor_default_35), kwargs = {}) 2024-06-26T05:20:08.8163363Z %quantized_decomposed_quantize_per_tensor_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_4, 0.016827085986733437, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8166440Z %quantized_decomposed_dequantize_per_tensor_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_25, 0.016827085986733437, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8169535Z %quantized_decomposed_dequantize_per_tensor_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param15, 0.009915303438901901, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8172547Z %aten_convolution_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_43, %quantized_decomposed_dequantize_per_tensor_default_44, %p_features_4_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8175837Z %quantized_decomposed_quantize_per_tensor_default_26 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_15, 0.023389454931020737, 6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8178953Z %quantized_decomposed_dequantize_per_tensor_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_26, 0.023389454931020737, 6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8182262Z %quantized_decomposed_dequantize_per_tensor_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_26, 0.023389454931020737, 6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8185367Z %quantized_decomposed_dequantize_per_tensor_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param16, 0.009469963610172272, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8188383Z %aten_convolution_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_46, %quantized_decomposed_dequantize_per_tensor_default_47, %p_features_5_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8191618Z %quantized_decomposed_quantize_per_tensor_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_16, 0.030381519347429276, 52, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8194729Z %quantized_decomposed_dequantize_per_tensor_default_48 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_27, 0.030381519347429276, 52, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8197217Z %aten__to_copy_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant64,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8199420Z %aten_add_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_48, %aten__to_copy_default_5), kwargs = {}) 2024-06-26T05:20:08.8201374Z %aten_clamp_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_6, 0), kwargs = {}) 2024-06-26T05:20:08.8203070Z %aten_clamp_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_10, None, 6), kwargs = {}) 2024-06-26T05:20:08.8205064Z %aten_mul_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_48, %aten_clamp_default_11), kwargs = {}) 2024-06-26T05:20:08.8207030Z %aten_div_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_5, %_lifted_tensor_constant65), kwargs = {}) 2024-06-26T05:20:08.8209470Z %quantized_decomposed_quantize_per_tensor_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_5, 0.009325562044978142, -88, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8212607Z %quantized_decomposed_dequantize_per_tensor_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_28, 0.009325562044978142, -88, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8215691Z %quantized_decomposed_dequantize_per_tensor_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param17, 0.29110556840896606, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8218691Z %aten_convolution_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_49, %quantized_decomposed_dequantize_per_tensor_default_50, %p_features_5_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], False, [0, 0], 240), kwargs = {}) 2024-06-26T05:20:08.8222078Z %quantized_decomposed_quantize_per_tensor_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_17, 0.04927137866616249, -27, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8225189Z %quantized_decomposed_dequantize_per_tensor_default_51 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_29, 0.04927137866616249, -27, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8227665Z %aten__to_copy_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant66,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8229710Z %aten_add_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_51, %aten__to_copy_default_6), kwargs = {}) 2024-06-26T05:20:08.8230470Z %aten_clamp_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_7, 0), kwargs = {}) 2024-06-26T05:20:08.8231288Z %aten_clamp_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_12, None, 6), kwargs = {}) 2024-06-26T05:20:08.8232271Z %aten_mul_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_51, %aten_clamp_default_13), kwargs = {}) 2024-06-26T05:20:08.8233093Z %aten_div_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_6, %_lifted_tensor_constant67), kwargs = {}) 2024-06-26T05:20:08.8234604Z %quantized_decomposed_quantize_per_tensor_default_30 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_6, 0.031156430020928383, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8236312Z %quantized_decomposed_dequantize_per_tensor_default_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_30, 0.031156430020928383, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8238106Z %quantized_decomposed_dequantize_per_tensor_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_30, 0.031156430020928383, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8239195Z %aten_mean_dim_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_53, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.8240689Z %quantized_decomposed_quantize_per_tensor_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_2, 0.031156430020928383, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8242356Z %quantized_decomposed_dequantize_per_tensor_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_31, 0.031156430020928383, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8243821Z %quantized_decomposed_dequantize_per_tensor_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param18, 0.02302936650812626, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8245442Z %aten_convolution_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_54, %quantized_decomposed_dequantize_per_tensor_default_55, %p_features_5_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8246242Z %aten_relu_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_18,), kwargs = {}) 2024-06-26T05:20:08.8247717Z %quantized_decomposed_quantize_per_tensor_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_7, 0.015201752074062824, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8249402Z %quantized_decomposed_dequantize_per_tensor_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_32, 0.015201752074062824, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8250867Z %quantized_decomposed_dequantize_per_tensor_default_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param19, 0.024587249383330345, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8252447Z %aten_convolution_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_56, %quantized_decomposed_dequantize_per_tensor_default_57, %p_features_5_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8253993Z %quantized_decomposed_quantize_per_tensor_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_19, 0.035624612122774124, 20, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8255660Z %quantized_decomposed_dequantize_per_tensor_default_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_33, 0.035624612122774124, 20, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8256592Z %aten__to_copy_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant68,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8257587Z %aten_add_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_58, %aten__to_copy_default_7), kwargs = {}) 2024-06-26T05:20:08.8258350Z %aten_clamp_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_8, 0), kwargs = {}) 2024-06-26T05:20:08.8259195Z %aten_clamp_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_14, None, 6), kwargs = {}) 2024-06-26T05:20:08.8260111Z %aten_div_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_15, %_lifted_tensor_constant69), kwargs = {}) 2024-06-26T05:20:08.8261570Z %quantized_decomposed_quantize_per_tensor_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_7, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8263266Z %quantized_decomposed_dequantize_per_tensor_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_34, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8264461Z %aten_mul_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_59, %quantized_decomposed_dequantize_per_tensor_default_52), kwargs = {}) 2024-06-26T05:20:08.8265916Z %quantized_decomposed_quantize_per_tensor_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_7, 0.005049227736890316, -54, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8267600Z %quantized_decomposed_dequantize_per_tensor_default_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_35, 0.005049227736890316, -54, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8269063Z %quantized_decomposed_dequantize_per_tensor_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param20, 0.03421241044998169, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8270674Z %aten_convolution_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_60, %quantized_decomposed_dequantize_per_tensor_default_61, %p_features_5_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8272213Z %quantized_decomposed_quantize_per_tensor_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_20, 0.018019428476691246, -1, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8273886Z %quantized_decomposed_dequantize_per_tensor_default_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_36, 0.018019428476691246, -1, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8275079Z %aten_add_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_62, %quantized_decomposed_dequantize_per_tensor_default_45), kwargs = {}) 2024-06-26T05:20:08.8276527Z %quantized_decomposed_quantize_per_tensor_default_37 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_add_tensor_9, 0.027667397633194923, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8278383Z %quantized_decomposed_dequantize_per_tensor_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_37, 0.027667397633194923, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8280046Z %quantized_decomposed_dequantize_per_tensor_default_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_37, 0.027667397633194923, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8281517Z %quantized_decomposed_dequantize_per_tensor_default_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param21, 0.004709577653557062, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8283135Z %aten_convolution_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_64, %quantized_decomposed_dequantize_per_tensor_default_65, %p_features_6_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8284632Z %quantized_decomposed_quantize_per_tensor_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_21, 0.02671457640826702, 30, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8286291Z %quantized_decomposed_dequantize_per_tensor_default_66 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_38, 0.02671457640826702, 30, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8287183Z %aten__to_copy_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant70,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8288203Z %aten_add_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_66, %aten__to_copy_default_8), kwargs = {}) 2024-06-26T05:20:08.8288967Z %aten_clamp_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_10, 0), kwargs = {}) 2024-06-26T05:20:08.8289763Z %aten_clamp_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_16, None, 6), kwargs = {}) 2024-06-26T05:20:08.8290804Z %aten_mul_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_66, %aten_clamp_default_17), kwargs = {}) 2024-06-26T05:20:08.8291627Z %aten_div_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_8, %_lifted_tensor_constant71), kwargs = {}) 2024-06-26T05:20:08.8293130Z %quantized_decomposed_quantize_per_tensor_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_8, 0.011707295663654804, -96, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8294791Z %quantized_decomposed_dequantize_per_tensor_default_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_39, 0.011707295663654804, -96, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8296255Z %quantized_decomposed_dequantize_per_tensor_default_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param22, 0.22559306025505066, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8297898Z %aten_convolution_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_67, %quantized_decomposed_dequantize_per_tensor_default_68, %p_features_6_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], False, [0, 0], 240), kwargs = {}) 2024-06-26T05:20:08.8299411Z %quantized_decomposed_quantize_per_tensor_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_22, 0.0482591949403286, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8301149Z %quantized_decomposed_dequantize_per_tensor_default_69 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_40, 0.0482591949403286, -4, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8302090Z %aten__to_copy_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant72,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8303099Z %aten_add_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_69, %aten__to_copy_default_9), kwargs = {}) 2024-06-26T05:20:08.8303859Z %aten_clamp_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_11, 0), kwargs = {}) 2024-06-26T05:20:08.8304672Z %aten_clamp_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_18, None, 6), kwargs = {}) 2024-06-26T05:20:08.8305663Z %aten_mul_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_69, %aten_clamp_default_19), kwargs = {}) 2024-06-26T05:20:08.8306504Z %aten_div_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_9, %_lifted_tensor_constant73), kwargs = {}) 2024-06-26T05:20:08.8307965Z %quantized_decomposed_quantize_per_tensor_default_41 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_9, 0.03135485202074051, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8309647Z %quantized_decomposed_dequantize_per_tensor_default_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_41, 0.03135485202074051, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8311355Z %quantized_decomposed_dequantize_per_tensor_default_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_41, 0.03135485202074051, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8312475Z %aten_mean_dim_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_71, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.8313916Z %quantized_decomposed_quantize_per_tensor_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_3, 0.03135485202074051, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8315629Z %quantized_decomposed_dequantize_per_tensor_default_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_42, 0.03135485202074051, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8317114Z %quantized_decomposed_dequantize_per_tensor_default_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param23, 0.013339489698410034, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8318822Z %aten_convolution_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_72, %quantized_decomposed_dequantize_per_tensor_default_73, %p_features_6_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8319622Z %aten_relu_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_23,), kwargs = {}) 2024-06-26T05:20:08.8321148Z %quantized_decomposed_quantize_per_tensor_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_8, 0.007360432296991348, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8322828Z %quantized_decomposed_dequantize_per_tensor_default_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_43, 0.007360432296991348, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8324285Z %quantized_decomposed_dequantize_per_tensor_default_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param24, 0.020886452868580818, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8325880Z %aten_convolution_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_74, %quantized_decomposed_dequantize_per_tensor_default_75, %p_features_6_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8327380Z %quantized_decomposed_quantize_per_tensor_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_24, 0.025485847145318985, 13, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8329053Z %quantized_decomposed_dequantize_per_tensor_default_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_44, 0.025485847145318985, 13, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8330000Z %aten__to_copy_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant74,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8331057Z %aten_add_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_76, %aten__to_copy_default_10), kwargs = {}) 2024-06-26T05:20:08.8331818Z %aten_clamp_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_12, 0), kwargs = {}) 2024-06-26T05:20:08.8332612Z %aten_clamp_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_20, None, 6), kwargs = {}) 2024-06-26T05:20:08.8333475Z %aten_div_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_21, %_lifted_tensor_constant75), kwargs = {}) 2024-06-26T05:20:08.8334990Z %quantized_decomposed_quantize_per_tensor_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_10, 0.0038670676294714212, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8336685Z %quantized_decomposed_dequantize_per_tensor_default_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_45, 0.0038670676294714212, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8337841Z %aten_mul_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_77, %quantized_decomposed_dequantize_per_tensor_default_70), kwargs = {}) 2024-06-26T05:20:08.8339347Z %quantized_decomposed_quantize_per_tensor_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_10, 0.006863838993012905, -80, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8341106Z %quantized_decomposed_dequantize_per_tensor_default_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_46, 0.006863838993012905, -80, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8342584Z %quantized_decomposed_dequantize_per_tensor_default_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param25, 0.03715989366173744, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8344185Z %aten_convolution_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_78, %quantized_decomposed_dequantize_per_tensor_default_79, %p_features_6_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8345704Z %quantized_decomposed_quantize_per_tensor_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_25, 0.03623475506901741, -28, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8347353Z %quantized_decomposed_dequantize_per_tensor_default_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_47, 0.03623475506901741, -28, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8359774Z %aten_add_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_80, %quantized_decomposed_dequantize_per_tensor_default_63), kwargs = {}) 2024-06-26T05:20:08.8361360Z %quantized_decomposed_quantize_per_tensor_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_add_tensor_13, 0.0407610684633255, -25, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8363025Z %quantized_decomposed_dequantize_per_tensor_default_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_48, 0.0407610684633255, -25, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8364482Z %quantized_decomposed_dequantize_per_tensor_default_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param26, 0.008141666650772095, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8366110Z %aten_convolution_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_81, %quantized_decomposed_dequantize_per_tensor_default_82, %p_features_7_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8367637Z %quantized_decomposed_quantize_per_tensor_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_26, 0.041501469910144806, -22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8369453Z %quantized_decomposed_dequantize_per_tensor_default_83 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_49, 0.041501469910144806, -22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8370412Z %aten__to_copy_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant76,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8371441Z %aten_add_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_83, %aten__to_copy_default_11), kwargs = {}) 2024-06-26T05:20:08.8372198Z %aten_clamp_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_14, 0), kwargs = {}) 2024-06-26T05:20:08.8373017Z %aten_clamp_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_22, None, 6), kwargs = {}) 2024-06-26T05:20:08.8374008Z %aten_mul_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_83, %aten_clamp_default_23), kwargs = {}) 2024-06-26T05:20:08.8374852Z %aten_div_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_11, %_lifted_tensor_constant77), kwargs = {}) 2024-06-26T05:20:08.8376325Z %quantized_decomposed_quantize_per_tensor_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_11, 0.02565867081284523, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8378004Z %quantized_decomposed_dequantize_per_tensor_default_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_50, 0.02565867081284523, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8379740Z %quantized_decomposed_dequantize_per_tensor_default_85 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param27, 0.24098145961761475, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8381492Z %aten_convolution_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_84, %quantized_decomposed_dequantize_per_tensor_default_85, %p_features_7_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], False, [0, 0], 120), kwargs = {}) 2024-06-26T05:20:08.8383016Z %quantized_decomposed_quantize_per_tensor_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_27, 0.0395459420979023, -24, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8384754Z %quantized_decomposed_dequantize_per_tensor_default_86 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_51, 0.0395459420979023, -24, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8385662Z %aten__to_copy_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant78,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8386677Z %aten_add_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_86, %aten__to_copy_default_12), kwargs = {}) 2024-06-26T05:20:08.8387451Z %aten_clamp_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_15, 0), kwargs = {}) 2024-06-26T05:20:08.8388252Z %aten_clamp_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_24, None, 6), kwargs = {}) 2024-06-26T05:20:08.8389298Z %aten_mul_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_86, %aten_clamp_default_25), kwargs = {}) 2024-06-26T05:20:08.8390149Z %aten_div_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_12, %_lifted_tensor_constant79), kwargs = {}) 2024-06-26T05:20:08.8391608Z %quantized_decomposed_quantize_per_tensor_default_52 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_12, 0.02488207258284092, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8393303Z %quantized_decomposed_dequantize_per_tensor_default_87 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_52, 0.02488207258284092, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8394962Z %quantized_decomposed_dequantize_per_tensor_default_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_52, 0.02488207258284092, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8396050Z %aten_mean_dim_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_88, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.8397539Z %quantized_decomposed_quantize_per_tensor_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_4, 0.02488207258284092, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8399393Z %quantized_decomposed_dequantize_per_tensor_default_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_53, 0.02488207258284092, -113, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8400911Z %quantized_decomposed_dequantize_per_tensor_default_90 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param28, 0.02133479155600071, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8402518Z %aten_convolution_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_89, %quantized_decomposed_dequantize_per_tensor_default_90, %p_features_7_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8403351Z %aten_relu_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_28,), kwargs = {}) 2024-06-26T05:20:08.8404830Z %quantized_decomposed_quantize_per_tensor_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_9, 0.023468464612960815, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8406502Z %quantized_decomposed_dequantize_per_tensor_default_91 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_54, 0.023468464612960815, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8408007Z %quantized_decomposed_dequantize_per_tensor_default_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param29, 0.015290362760424614, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8409601Z %aten_convolution_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_91, %quantized_decomposed_dequantize_per_tensor_default_92, %p_features_7_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8411104Z %quantized_decomposed_quantize_per_tensor_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_29, 0.030527016147971153, 2, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8412767Z %quantized_decomposed_dequantize_per_tensor_default_93 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_55, 0.030527016147971153, 2, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8413660Z %aten__to_copy_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant80,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8414675Z %aten_add_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_93, %aten__to_copy_default_13), kwargs = {}) 2024-06-26T05:20:08.8415430Z %aten_clamp_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_16, 0), kwargs = {}) 2024-06-26T05:20:08.8416291Z %aten_clamp_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_26, None, 6), kwargs = {}) 2024-06-26T05:20:08.8417149Z %aten_div_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_27, %_lifted_tensor_constant81), kwargs = {}) 2024-06-26T05:20:08.8418642Z %quantized_decomposed_quantize_per_tensor_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_13, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8420416Z %quantized_decomposed_dequantize_per_tensor_default_94 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_56, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8421572Z %aten_mul_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_94, %quantized_decomposed_dequantize_per_tensor_default_87), kwargs = {}) 2024-06-26T05:20:08.8423079Z %quantized_decomposed_quantize_per_tensor_default_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_13, 0.01619456522166729, -105, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8424748Z %quantized_decomposed_dequantize_per_tensor_default_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_57, 0.01619456522166729, -105, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8426208Z %quantized_decomposed_dequantize_per_tensor_default_96 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param30, 0.0081296656280756, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8427813Z %aten_convolution_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_95, %quantized_decomposed_dequantize_per_tensor_default_96, %p_features_7_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8429341Z %quantized_decomposed_quantize_per_tensor_default_58 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_30, 0.024070139974355698, 22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8430999Z %quantized_decomposed_dequantize_per_tensor_default_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_58, 0.024070139974355698, 22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8432674Z %quantized_decomposed_dequantize_per_tensor_default_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_58, 0.024070139974355698, 22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8434136Z %quantized_decomposed_dequantize_per_tensor_default_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param31, 0.004416964948177338, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8435778Z %aten_convolution_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_98, %quantized_decomposed_dequantize_per_tensor_default_99, %p_features_8_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8437294Z %quantized_decomposed_quantize_per_tensor_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_31, 0.025641022250056267, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8439215Z %quantized_decomposed_dequantize_per_tensor_default_100 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_59, 0.025641022250056267, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8440114Z %aten__to_copy_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant82,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8441144Z %aten_add_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_100, %aten__to_copy_default_14), kwargs = {}) 2024-06-26T05:20:08.8441956Z %aten_clamp_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_17, 0), kwargs = {}) 2024-06-26T05:20:08.8442760Z %aten_clamp_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_28, None, 6), kwargs = {}) 2024-06-26T05:20:08.8443773Z %aten_mul_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_100, %aten_clamp_default_29), kwargs = {}) 2024-06-26T05:20:08.8444608Z %aten_div_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_14, %_lifted_tensor_constant83), kwargs = {}) 2024-06-26T05:20:08.8446132Z %quantized_decomposed_quantize_per_tensor_default_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_14, 0.011949035339057446, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8447820Z %quantized_decomposed_dequantize_per_tensor_default_101 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_60, 0.011949035339057446, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8449304Z %quantized_decomposed_dequantize_per_tensor_default_102 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param32, 0.16769732534885406, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8450921Z %aten_convolution_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_101, %quantized_decomposed_dequantize_per_tensor_default_102, %p_features_8_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], False, [0, 0], 144), kwargs = {}) 2024-06-26T05:20:08.8452446Z %quantized_decomposed_quantize_per_tensor_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_32, 0.048460617661476135, -29, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8454114Z %quantized_decomposed_dequantize_per_tensor_default_103 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_61, 0.048460617661476135, -29, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8455063Z %aten__to_copy_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant84,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8456107Z %aten_add_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_103, %aten__to_copy_default_15), kwargs = {}) 2024-06-26T05:20:08.8456861Z %aten_clamp_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_18, 0), kwargs = {}) 2024-06-26T05:20:08.8457675Z %aten_clamp_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_30, None, 6), kwargs = {}) 2024-06-26T05:20:08.8458680Z %aten_mul_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_103, %aten_clamp_default_31), kwargs = {}) 2024-06-26T05:20:08.8459560Z %aten_div_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_15, %_lifted_tensor_constant85), kwargs = {}) 2024-06-26T05:20:08.8461113Z %quantized_decomposed_quantize_per_tensor_default_62 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_15, 0.03118317574262619, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8462802Z %quantized_decomposed_dequantize_per_tensor_default_104 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_62, 0.03118317574262619, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8464514Z %quantized_decomposed_dequantize_per_tensor_default_105 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_62, 0.03118317574262619, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8465604Z %aten_mean_dim_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_105, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.8467041Z %quantized_decomposed_quantize_per_tensor_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_5, 0.03118317574262619, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8468713Z %quantized_decomposed_dequantize_per_tensor_default_106 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_63, 0.03118317574262619, -116, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8470202Z %quantized_decomposed_dequantize_per_tensor_default_107 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param33, 0.012662169523537159, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8471793Z %aten_convolution_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_106, %quantized_decomposed_dequantize_per_tensor_default_107, %p_features_8_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8472638Z %aten_relu_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_33,), kwargs = {}) 2024-06-26T05:20:08.8474118Z %quantized_decomposed_quantize_per_tensor_default_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_10, 0.007088127546012402, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8475833Z %quantized_decomposed_dequantize_per_tensor_default_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_64, 0.007088127546012402, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8477301Z %quantized_decomposed_dequantize_per_tensor_default_109 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param34, 0.010558309964835644, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8479144Z %aten_convolution_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_108, %quantized_decomposed_dequantize_per_tensor_default_109, %p_features_8_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8480647Z %quantized_decomposed_quantize_per_tensor_default_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_34, 0.026264198124408722, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8482327Z %quantized_decomposed_dequantize_per_tensor_default_110 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_65, 0.026264198124408722, 3, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8483223Z %aten__to_copy_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant86,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8484290Z %aten_add_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_110, %aten__to_copy_default_16), kwargs = {}) 2024-06-26T05:20:08.8485052Z %aten_clamp_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_19, 0), kwargs = {}) 2024-06-26T05:20:08.8485854Z %aten_clamp_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_32, None, 6), kwargs = {}) 2024-06-26T05:20:08.8486731Z %aten_div_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_33, %_lifted_tensor_constant87), kwargs = {}) 2024-06-26T05:20:08.8488198Z %quantized_decomposed_quantize_per_tensor_default_66 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_16, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8489898Z %quantized_decomposed_dequantize_per_tensor_default_111 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_66, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8491063Z %aten_mul_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_111, %quantized_decomposed_dequantize_per_tensor_default_104), kwargs = {}) 2024-06-26T05:20:08.8492569Z %quantized_decomposed_quantize_per_tensor_default_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_16, 0.004916020669043064, -59, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8494299Z %quantized_decomposed_dequantize_per_tensor_default_112 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_67, 0.004916020669043064, -59, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8495775Z %quantized_decomposed_dequantize_per_tensor_default_113 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param35, 0.026196502149105072, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8497388Z %aten_convolution_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_112, %quantized_decomposed_dequantize_per_tensor_default_113, %p_features_8_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8498962Z %quantized_decomposed_quantize_per_tensor_default_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_35, 0.02248125523328781, -22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8500684Z %quantized_decomposed_dequantize_per_tensor_default_114 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_68, 0.02248125523328781, -22, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8501869Z %aten_add_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_114, %quantized_decomposed_dequantize_per_tensor_default_97), kwargs = {}) 2024-06-26T05:20:08.8503357Z %quantized_decomposed_quantize_per_tensor_default_69 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_add_tensor_20, 0.031199263408780098, 15, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8505031Z %quantized_decomposed_dequantize_per_tensor_default_115 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_69, 0.031199263408780098, 15, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8506493Z %quantized_decomposed_dequantize_per_tensor_default_116 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param36, 0.00884885061532259, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8508089Z %aten_convolution_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_115, %quantized_decomposed_dequantize_per_tensor_default_116, %p_features_9_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8509610Z %quantized_decomposed_quantize_per_tensor_default_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_36, 0.03163875266909599, 24, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8511265Z %quantized_decomposed_dequantize_per_tensor_default_117 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_70, 0.03163875266909599, 24, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8512205Z %aten__to_copy_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant88,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8513248Z %aten_add_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_117, %aten__to_copy_default_17), kwargs = {}) 2024-06-26T05:20:08.8514015Z %aten_clamp_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_21, 0), kwargs = {}) 2024-06-26T05:20:08.8514826Z %aten_clamp_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_34, None, 6), kwargs = {}) 2024-06-26T05:20:08.8515845Z %aten_mul_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_117, %aten_clamp_default_35), kwargs = {}) 2024-06-26T05:20:08.8516708Z %aten_div_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_17, %_lifted_tensor_constant89), kwargs = {}) 2024-06-26T05:20:08.8518385Z %quantized_decomposed_quantize_per_tensor_default_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_17, 0.01833176054060459, -108, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8520085Z %quantized_decomposed_dequantize_per_tensor_default_118 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_71, 0.01833176054060459, -108, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8521607Z %quantized_decomposed_dequantize_per_tensor_default_119 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param37, 0.07351506501436234, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8523237Z %aten_convolution_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_118, %quantized_decomposed_dequantize_per_tensor_default_119, %p_features_9_block_1_0_weight_bias, [2, 2], [2, 2], [1, 1], False, [0, 0], 288), kwargs = {}) 2024-06-26T05:20:08.8524746Z %quantized_decomposed_quantize_per_tensor_default_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_37, 0.024372998625040054, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8526427Z %quantized_decomposed_dequantize_per_tensor_default_120 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_72, 0.024372998625040054, 21, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8527312Z %aten__to_copy_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant90,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8528338Z %aten_add_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_120, %aten__to_copy_default_18), kwargs = {}) 2024-06-26T05:20:08.8529094Z %aten_clamp_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_22, 0), kwargs = {}) 2024-06-26T05:20:08.8529955Z %aten_clamp_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_36, None, 6), kwargs = {}) 2024-06-26T05:20:08.8530953Z %aten_mul_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_120, %aten_clamp_default_37), kwargs = {}) 2024-06-26T05:20:08.8531861Z %aten_div_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_18, %_lifted_tensor_constant91), kwargs = {}) 2024-06-26T05:20:08.8533335Z %quantized_decomposed_quantize_per_tensor_default_73 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_18, 0.01140967570245266, -95, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8535011Z %quantized_decomposed_dequantize_per_tensor_default_121 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_73, 0.01140967570245266, -95, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8536739Z %quantized_decomposed_dequantize_per_tensor_default_122 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_73, 0.01140967570245266, -95, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8537821Z %aten_mean_dim_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_122, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.8539270Z %quantized_decomposed_quantize_per_tensor_default_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_6, 0.01140967570245266, -95, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8541027Z %quantized_decomposed_dequantize_per_tensor_default_123 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_74, 0.01140967570245266, -95, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8542511Z %quantized_decomposed_dequantize_per_tensor_default_124 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param38, 0.010171673260629177, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8544096Z %aten_convolution_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_123, %quantized_decomposed_dequantize_per_tensor_default_124, %p_features_9_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8544902Z %aten_relu_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_38,), kwargs = {}) 2024-06-26T05:20:08.8546378Z %quantized_decomposed_quantize_per_tensor_default_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_11, 0.009128252975642681, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8548064Z %quantized_decomposed_dequantize_per_tensor_default_125 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_75, 0.009128252975642681, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8549578Z %quantized_decomposed_dequantize_per_tensor_default_126 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param39, 0.009884593077003956, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8551312Z %aten_convolution_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_125, %quantized_decomposed_dequantize_per_tensor_default_126, %p_features_9_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8552863Z %quantized_decomposed_quantize_per_tensor_default_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_39, 0.021795842796564102, -18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8554550Z %quantized_decomposed_dequantize_per_tensor_default_127 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_76, 0.021795842796564102, -18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8555464Z %aten__to_copy_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant92,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8556477Z %aten_add_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_127, %aten__to_copy_default_19), kwargs = {}) 2024-06-26T05:20:08.8557248Z %aten_clamp_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_23, 0), kwargs = {}) 2024-06-26T05:20:08.8558161Z %aten_clamp_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_38, None, 6), kwargs = {}) 2024-06-26T05:20:08.8559036Z %aten_div_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_39, %_lifted_tensor_constant93), kwargs = {}) 2024-06-26T05:20:08.8560558Z %quantized_decomposed_quantize_per_tensor_default_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_19, 0.003919846843928099, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8562459Z %quantized_decomposed_dequantize_per_tensor_default_128 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_77, 0.003919846843928099, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8563628Z %aten_mul_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_128, %quantized_decomposed_dequantize_per_tensor_default_121), kwargs = {}) 2024-06-26T05:20:08.8565108Z %quantized_decomposed_quantize_per_tensor_default_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_19, 0.004031462594866753, -41, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8566787Z %quantized_decomposed_dequantize_per_tensor_default_129 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_78, 0.004031462594866753, -41, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8568307Z %quantized_decomposed_dequantize_per_tensor_default_130 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param40, 0.009600795805454254, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8569925Z %aten_convolution_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_129, %quantized_decomposed_dequantize_per_tensor_default_130, %p_features_9_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8571479Z %quantized_decomposed_quantize_per_tensor_default_79 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_40, 0.01110239140689373, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8573159Z %quantized_decomposed_dequantize_per_tensor_default_131 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_79, 0.01110239140689373, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8574835Z %quantized_decomposed_dequantize_per_tensor_default_132 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_79, 0.01110239140689373, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8576320Z %quantized_decomposed_dequantize_per_tensor_default_133 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param41, 0.008772623725235462, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8577929Z %aten_convolution_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_132, %quantized_decomposed_dequantize_per_tensor_default_133, %p_features_10_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8579482Z %quantized_decomposed_quantize_per_tensor_default_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_41, 0.019899852573871613, 45, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8581247Z %quantized_decomposed_dequantize_per_tensor_default_134 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_80, 0.019899852573871613, 45, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8582148Z %aten__to_copy_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant94,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8583155Z %aten_add_tensor_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_134, %aten__to_copy_default_20), kwargs = {}) 2024-06-26T05:20:08.8583932Z %aten_clamp_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_24, 0), kwargs = {}) 2024-06-26T05:20:08.8584739Z %aten_clamp_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_40, None, 6), kwargs = {}) 2024-06-26T05:20:08.8585738Z %aten_mul_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_134, %aten_clamp_default_41), kwargs = {}) 2024-06-26T05:20:08.8586625Z %aten_div_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_20, %_lifted_tensor_constant95), kwargs = {}) 2024-06-26T05:20:08.8588092Z %quantized_decomposed_quantize_per_tensor_default_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_20, 0.00641461880877614, -70, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8589801Z %quantized_decomposed_dequantize_per_tensor_default_135 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_81, 0.00641461880877614, -70, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8591265Z %quantized_decomposed_dequantize_per_tensor_default_136 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param42, 0.14382794499397278, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8592923Z %aten_convolution_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_135, %quantized_decomposed_dequantize_per_tensor_default_136, %p_features_10_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], False, [0, 0], 576), kwargs = {}) 2024-06-26T05:20:08.8594424Z %quantized_decomposed_quantize_per_tensor_default_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_42, 0.0376562774181366, 18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8596093Z %quantized_decomposed_dequantize_per_tensor_default_137 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_82, 0.0376562774181366, 18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8596984Z %aten__to_copy_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant96,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8598138Z %aten_add_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_137, %aten__to_copy_default_21), kwargs = {}) 2024-06-26T05:20:08.8598903Z %aten_clamp_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_25, 0), kwargs = {}) 2024-06-26T05:20:08.8599706Z %aten_clamp_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_42, None, 6), kwargs = {}) 2024-06-26T05:20:08.8600719Z %aten_mul_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_137, %aten_clamp_default_43), kwargs = {}) 2024-06-26T05:20:08.8601554Z %aten_div_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_21, %_lifted_tensor_constant97), kwargs = {}) 2024-06-26T05:20:08.8603036Z %quantized_decomposed_quantize_per_tensor_default_83 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_21, 0.01763603463768959, -107, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8604702Z %quantized_decomposed_dequantize_per_tensor_default_138 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_83, 0.01763603463768959, -107, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8606445Z %quantized_decomposed_dequantize_per_tensor_default_139 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_83, 0.01763603463768959, -107, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8607559Z %aten_mean_dim_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_139, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.8609024Z %quantized_decomposed_quantize_per_tensor_default_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_7, 0.01763603463768959, -107, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8610701Z %quantized_decomposed_dequantize_per_tensor_default_140 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_84, 0.01763603463768959, -107, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8612371Z %quantized_decomposed_dequantize_per_tensor_default_141 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param43, 0.012263336218893528, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8615701Z %aten_convolution_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_140, %quantized_decomposed_dequantize_per_tensor_default_141, %p_features_10_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8618241Z %aten_relu_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_43,), kwargs = {}) 2024-06-26T05:20:08.8620744Z %quantized_decomposed_quantize_per_tensor_default_85 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_12, 0.012923299334943295, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8623901Z %quantized_decomposed_dequantize_per_tensor_default_142 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_85, 0.012923299334943295, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8626995Z %quantized_decomposed_dequantize_per_tensor_default_143 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param44, 0.018498629331588745, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8630023Z %aten_convolution_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_142, %quantized_decomposed_dequantize_per_tensor_default_143, %p_features_10_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8633311Z %quantized_decomposed_quantize_per_tensor_default_86 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_44, 0.027909470722079277, 19, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8636438Z %quantized_decomposed_dequantize_per_tensor_default_144 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_86, 0.027909470722079277, 19, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8639042Z %aten__to_copy_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant98,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8641116Z %aten_add_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_144, %aten__to_copy_default_22), kwargs = {}) 2024-06-26T05:20:08.8643107Z %aten_clamp_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_26, 0), kwargs = {}) 2024-06-26T05:20:08.8644839Z %aten_clamp_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_44, None, 6), kwargs = {}) 2024-06-26T05:20:08.8646649Z %aten_div_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_45, %_lifted_tensor_constant99), kwargs = {}) 2024-06-26T05:20:08.8649162Z %quantized_decomposed_quantize_per_tensor_default_87 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_22, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8652361Z %quantized_decomposed_dequantize_per_tensor_default_145 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_87, 0.003919653594493866, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8655160Z %aten_mul_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_145, %quantized_decomposed_dequantize_per_tensor_default_138), kwargs = {}) 2024-06-26T05:20:08.8657976Z %quantized_decomposed_quantize_per_tensor_default_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_22, 0.0032222322188317776, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8661252Z %quantized_decomposed_dequantize_per_tensor_default_146 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_88, 0.0032222322188317776, -12, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8664387Z %quantized_decomposed_dequantize_per_tensor_default_147 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param45, 0.018573224544525146, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8667461Z %aten_convolution_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_146, %quantized_decomposed_dequantize_per_tensor_default_147, %p_features_10_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8670741Z %quantized_decomposed_quantize_per_tensor_default_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_45, 0.00877588801085949, 10, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8673865Z %quantized_decomposed_dequantize_per_tensor_default_148 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_89, 0.00877588801085949, 10, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8676745Z %aten_add_tensor_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_148, %quantized_decomposed_dequantize_per_tensor_default_131), kwargs = {}) 2024-06-26T05:20:08.8679635Z %quantized_decomposed_quantize_per_tensor_default_90 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_add_tensor_27, 0.014860447496175766, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8682776Z %quantized_decomposed_dequantize_per_tensor_default_149 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_90, 0.014860447496175766, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8686017Z %quantized_decomposed_dequantize_per_tensor_default_150 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_90, 0.014860447496175766, 0, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8689174Z %quantized_decomposed_dequantize_per_tensor_default_151 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param46, 0.00417760293930769, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8692227Z %aten_convolution_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_150, %quantized_decomposed_dequantize_per_tensor_default_151, %p_features_11_block_0_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8695474Z %quantized_decomposed_quantize_per_tensor_default_91 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_46, 0.0185867790132761, 37, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8698660Z %quantized_decomposed_dequantize_per_tensor_default_152 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_91, 0.0185867790132761, 37, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8701210Z %aten__to_copy_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant100,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8703288Z %aten_add_tensor_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_152, %aten__to_copy_default_23), kwargs = {}) 2024-06-26T05:20:08.8705218Z %aten_clamp_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_28, 0), kwargs = {}) 2024-06-26T05:20:08.8706944Z %aten_clamp_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_46, None, 6), kwargs = {}) 2024-06-26T05:20:08.8708909Z %aten_mul_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_152, %aten_clamp_default_47), kwargs = {}) 2024-06-26T05:20:08.8710898Z %aten_div_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_23, %_lifted_tensor_constant101), kwargs = {}) 2024-06-26T05:20:08.8713372Z %quantized_decomposed_quantize_per_tensor_default_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_23, 0.007042103912681341, -75, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8716539Z %quantized_decomposed_dequantize_per_tensor_default_153 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_92, 0.007042103912681341, -75, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8719766Z %quantized_decomposed_dequantize_per_tensor_default_154 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param47, 0.14140361547470093, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8722803Z %aten_convolution_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_153, %quantized_decomposed_dequantize_per_tensor_default_154, %p_features_11_block_1_0_weight_bias, [1, 1], [2, 2], [1, 1], False, [0, 0], 576), kwargs = {}) 2024-06-26T05:20:08.8726057Z %quantized_decomposed_quantize_per_tensor_default_93 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_47, 0.02328273467719555, 6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8729251Z %quantized_decomposed_dequantize_per_tensor_default_155 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_93, 0.02328273467719555, 6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8731744Z %aten__to_copy_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant102,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8733790Z %aten_add_tensor_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_155, %aten__to_copy_default_24), kwargs = {}) 2024-06-26T05:20:08.8735729Z %aten_clamp_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_29, 0), kwargs = {}) 2024-06-26T05:20:08.8737506Z %aten_clamp_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_48, None, 6), kwargs = {}) 2024-06-26T05:20:08.8739466Z %aten_mul_tensor_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_155, %aten_clamp_default_49), kwargs = {}) 2024-06-26T05:20:08.8741537Z %aten_div_tensor_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_24, %_lifted_tensor_constant103), kwargs = {}) 2024-06-26T05:20:08.8743986Z %quantized_decomposed_quantize_per_tensor_default_94 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_24, 0.01215140800923109, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8747077Z %quantized_decomposed_dequantize_per_tensor_default_156 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_94, 0.01215140800923109, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8750349Z %quantized_decomposed_dequantize_per_tensor_default_157 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_94, 0.01215140800923109, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8753099Z %aten_mean_dim_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_157, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.8755627Z %quantized_decomposed_quantize_per_tensor_default_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_8, 0.01215140800923109, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8758791Z %quantized_decomposed_dequantize_per_tensor_default_158 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_95, 0.01215140800923109, -97, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8761831Z %quantized_decomposed_dequantize_per_tensor_default_159 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param48, 0.009612107649445534, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8764891Z %aten_convolution_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_158, %quantized_decomposed_dequantize_per_tensor_default_159, %p_features_11_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8767406Z %aten_relu_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_48,), kwargs = {}) 2024-06-26T05:20:08.8769832Z %quantized_decomposed_quantize_per_tensor_default_96 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_relu_default_13, 0.010896197520196438, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8773097Z %quantized_decomposed_dequantize_per_tensor_default_160 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_96, 0.010896197520196438, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8776239Z %quantized_decomposed_dequantize_per_tensor_default_161 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param49, 0.01122909877449274, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8779268Z %aten_convolution_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_160, %quantized_decomposed_dequantize_per_tensor_default_161, %p_features_11_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8782561Z %quantized_decomposed_quantize_per_tensor_default_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_49, 0.028667936101555824, 32, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8785966Z %quantized_decomposed_dequantize_per_tensor_default_162 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_97, 0.028667936101555824, 32, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8788478Z %aten__to_copy_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant104,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8790542Z %aten_add_tensor_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_162, %aten__to_copy_default_25), kwargs = {}) 2024-06-26T05:20:08.8792544Z %aten_clamp_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_30, 0), kwargs = {}) 2024-06-26T05:20:08.8794262Z %aten_clamp_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_50, None, 6), kwargs = {}) 2024-06-26T05:20:08.8796130Z %aten_div_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_clamp_default_51, %_lifted_tensor_constant105), kwargs = {}) 2024-06-26T05:20:08.8798681Z %quantized_decomposed_quantize_per_tensor_default_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_25, 0.0037384959869086742, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8801804Z %quantized_decomposed_dequantize_per_tensor_default_163 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_98, 0.0037384959869086742, -128, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8804640Z %aten_mul_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_163, %quantized_decomposed_dequantize_per_tensor_default_156), kwargs = {}) 2024-06-26T05:20:08.8807437Z %quantized_decomposed_quantize_per_tensor_default_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mul_tensor_25, 0.004264030139893293, -44, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8810501Z %quantized_decomposed_dequantize_per_tensor_default_164 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_99, 0.004264030139893293, -44, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8813618Z %quantized_decomposed_dequantize_per_tensor_default_165 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param50, 0.020246243104338646, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8816748Z %aten_convolution_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_164, %quantized_decomposed_dequantize_per_tensor_default_165, %p_features_11_block_3_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8820037Z %quantized_decomposed_quantize_per_tensor_default_100 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_50, 0.012517928145825863, -6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8823184Z %quantized_decomposed_dequantize_per_tensor_default_166 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_100, 0.012517928145825863, -6, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8826147Z %aten_add_tensor_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_166, %quantized_decomposed_dequantize_per_tensor_default_149), kwargs = {}) 2024-06-26T05:20:08.8828928Z %quantized_decomposed_quantize_per_tensor_default_101 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_add_tensor_31, 0.018566593527793884, -9, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8832061Z %quantized_decomposed_dequantize_per_tensor_default_167 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_101, 0.018566593527793884, -9, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8835175Z %quantized_decomposed_dequantize_per_tensor_default_168 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param51, 0.009127296507358551, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8838250Z %aten_convolution_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%quantized_decomposed_dequantize_per_tensor_default_167, %quantized_decomposed_dequantize_per_tensor_default_168, %p_features_12_0_weight_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2024-06-26T05:20:08.8841470Z %quantized_decomposed_quantize_per_tensor_default_102 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_convolution_default_51, 0.04112740606069565, 26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8844629Z %quantized_decomposed_dequantize_per_tensor_default_169 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_102, 0.04112740606069565, 26, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8847104Z %aten__to_copy_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant106,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8849165Z %aten_add_tensor_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_169, %aten__to_copy_default_26), kwargs = {}) 2024-06-26T05:20:08.8851087Z %aten_clamp_default_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_32, 0), kwargs = {}) 2024-06-26T05:20:08.8852864Z %aten_clamp_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_52, None, 6), kwargs = {}) 2024-06-26T05:20:08.8854819Z %aten_mul_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_169, %aten_clamp_default_53), kwargs = {}) 2024-06-26T05:20:08.8856815Z %aten_div_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_26, %_lifted_tensor_constant107), kwargs = {}) 2024-06-26T05:20:08.8859280Z %quantized_decomposed_quantize_per_tensor_default_103 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_26, 0.019389724358916283, -109, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8862451Z %quantized_decomposed_dequantize_per_tensor_default_170 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_103, 0.019389724358916283, -109, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8865157Z %aten_mean_dim_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%quantized_decomposed_dequantize_per_tensor_default_170, [-1, -2], True), kwargs = {}) 2024-06-26T05:20:08.8867687Z %quantized_decomposed_quantize_per_tensor_default_104 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_mean_dim_9, 0.019389724358916283, -109, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8870845Z %quantized_decomposed_dequantize_per_tensor_default_171 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_104, 0.019389724358916283, -109, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8873483Z %aten_view_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_tensor_default_171, [1, 576]), kwargs = {}) 2024-06-26T05:20:08.8876119Z %quantized_decomposed_quantize_per_tensor_default_105 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_view_copy_default, 0.019389724358916283, -109, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8879317Z %quantized_decomposed_dequantize_per_tensor_default_172 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_105, 0.019389724358916283, -109, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8882438Z %quantized_decomposed_dequantize_per_tensor_default_173 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param52, 0.01189471036195755, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8884871Z %aten_permute_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_tensor_default_173, [1, 0]), kwargs = {}) 2024-06-26T05:20:08.8887179Z %aten_addmm_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.addmm.default](args = (%p_classifier_0_bias, %quantized_decomposed_dequantize_per_tensor_default_172, %aten_permute_copy_default), kwargs = {}) 2024-06-26T05:20:08.8890482Z %quantized_decomposed_quantize_per_tensor_default_106 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_addmm_default, 0.02772076614201069, 62, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8893590Z %quantized_decomposed_dequantize_per_tensor_default_174 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_106, 0.02772076614201069, 62, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8896221Z %aten__to_copy_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%_lifted_tensor_constant108,), kwargs = {dtype: torch.float32}) 2024-06-26T05:20:08.8898286Z %aten_add_tensor_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_174, %aten__to_copy_default_27), kwargs = {}) 2024-06-26T05:20:08.8900294Z %aten_clamp_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_add_tensor_33, 0), kwargs = {}) 2024-06-26T05:20:08.8902021Z %aten_clamp_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clamp.default](args = (%aten_clamp_default_54, None, 6), kwargs = {}) 2024-06-26T05:20:08.8903976Z %aten_mul_tensor_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_174, %aten_clamp_default_55), kwargs = {}) 2024-06-26T05:20:08.8906010Z %aten_div_tensor_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.div.Tensor](args = (%aten_mul_tensor_27, %_lifted_tensor_constant109), kwargs = {}) 2024-06-26T05:20:08.8908481Z %quantized_decomposed_quantize_per_tensor_default_107 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_div_tensor_27, 0.007143733557313681, -76, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8911627Z %quantized_decomposed_dequantize_per_tensor_default_175 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_107, 0.007143733557313681, -76, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8914715Z %quantized_decomposed_dequantize_per_tensor_default_176 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param53, 0.005898590665310621, 0, -127, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8917163Z %aten_permute_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_tensor_default_176, [1, 0]), kwargs = {}) 2024-06-26T05:20:08.8919609Z %aten_addmm_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.addmm.default](args = (%p_classifier_3_bias, %quantized_decomposed_dequantize_per_tensor_default_175, %aten_permute_copy_default_1), kwargs = {}) 2024-06-26T05:20:08.8922392Z %quantized_decomposed_quantize_per_tensor_default_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_tensor.default](args = (%aten_addmm_default_1, 0.03836249187588692, -18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8925492Z %quantized_decomposed_dequantize_per_tensor_default_177 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%quantized_decomposed_quantize_per_tensor_default_108, 0.03836249187588692, -18, -128, 127, torch.int8), kwargs = {}) 2024-06-26T05:20:08.8927363Z return (quantized_decomposed_dequantize_per_tensor_default_177,) 2024-06-26T05:20:10.7780196Z INFO:executorch.backends.xnnpack.partition.xnnpack_partitioner:Found 2 subgraphs to be partitioned. 2024-06-26T05:20:17.5563341Z INFO:root:Lowered graph: 2024-06-26T05:20:17.5563791Z graph(): 2024-06-26T05:20:17.5564108Z %x : [num_users=1] = placeholder[target=x] 2024-06-26T05:20:17.5564777Z %lowered_module_0 : [num_users=1] = get_attr[target=lowered_module_0] 2024-06-26T05:20:17.5566008Z %executorch_call_delegate : [num_users=1] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_0, %x), kwargs = {}) 2024-06-26T05:20:17.5567489Z %getitem : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 0), kwargs = {}) 2024-06-26T05:20:17.5569064Z %aten_view_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%getitem, [1, 576]), kwargs = {}) 2024-06-26T05:20:17.5570367Z %lowered_module_1 : [num_users=1] = get_attr[target=lowered_module_1] 2024-06-26T05:20:17.5571761Z %executorch_call_delegate_1 : [num_users=1] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_1, %aten_view_copy_default), kwargs = {}) 2024-06-26T05:20:17.5573375Z %getitem_1 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_1, 0), kwargs = {}) 2024-06-26T05:20:17.5574227Z return (getitem_1,) 2024-06-26T05:20:18.9061668Z INFO:root:Saved exported program to ./mv3_xnnpack_q8.pte 2024-06-26T05:20:19.7254859Z ++ OUTPUT_MODEL_PATH=mv3_xnnpack_q8.pte 2024-06-26T05:20:19.7255403Z ++ [[ cmake == \b\u\c\k\2 ]] 2024-06-26T05:20:19.7255978Z ++ [[ cmake == \c\m\a\k\e ]] 2024-06-26T05:20:19.7256574Z ++ [[ ! -f cmake-out/backends/xnnpack/xnn_executor_runner ]] 2024-06-26T05:20:19.7257393Z ++ ./cmake-out/backends/xnnpack/xnn_executor_runner --model_path mv3_xnnpack_q8.pte 2024-06-26T05:20:19.7664793Z Output 0: tensor(sizes=[1, 1000], [ 2024-06-26T05:20:19.7674260Z -1.11251, 0.537075, -2.72374, -3.14572, -2.26339, -0.652162, -0.997425, 0., 0.15345, 0.230175, 2024-06-26T05:20:19.7676284Z 0.115087, 2.60865, 2.57029, 0.537075, 0.997425, 0.421987, 1.5345, -0.345262, 0.498712, 0.805612, 2024-06-26T05:20:19.7677458Z -0.805612, 1.5345, 0.537075, 1.57286, -0.575437, -2.68537, -0.997425, -1.03579, -2.10994, -0.498712, 2024-06-26T05:20:19.7679067Z -2.41684, 1.03579, -0.537075, -1.15087, -0.230175, -2.7621, -0.6138, -2.64701, 1.49614, -1.61122, 2024-06-26T05:20:19.7680539Z 1.61122, 0.652162, -0.575437, -1.49614, 0.076725, -0.537075, 1.5345, -0.15345, -2.68537, -3.10736, 2024-06-26T05:20:19.7682042Z -2.72374, -1.5345, 1.5345, 0.3069, 0.268537, -0.230175, 0.3069, 0.15345, -1.2276, 0.076725, 2024-06-26T05:20:19.7683521Z 0.6138, 0.15345, -1.11251, -0.46035, 0.345262, -1.18924, 0.383625, -0.728887, -0.728887, -0.268537, 2024-06-26T05:20:19.7684409Z 0.728887, 0.3069, 0.652162, 1.45777, 0.805612, 1.95649, 1.34269, 1.72631, 2.80046, 1.03579, 2024-06-26T05:20:19.7685787Z 0.843975, -0.345262, 0.268537, -0.421987, 0.191812, 2.30175, 1.30432, 1.30432, 1.72631, 0.728887, 2024-06-26T05:20:19.7687349Z 1.11251, 0.575437, 1.91812, 0.421987, 1.30432, -2.18666, 0.959062, 0.15345, 0.997425, 0., 2024-06-26T05:20:19.7688339Z ..., 2024-06-26T05:20:19.7688887Z 0.9207, -0.652162, 2.4552, 1.5345, 5.56256, 4.71859, 4.52677, 0.383625, 0.6138, -0.537075, 2024-06-26T05:20:19.7689820Z 2.37847, 3.87461, -0.0383625, -1.61122, -0.959062, 0.9207, 3.03064, 1.26596, 0.843975, 1.76467, 2024-06-26T05:20:19.7690742Z 2.87719, 3.87461, 1.45777, 0.997425, -0.843975, 0.690525, 0.191812, 0., 1.68795, 2.57029, 2024-06-26T05:20:19.7691707Z 1.8414, -0.959062, -0.805612, 0.268537, 0.230175, -0.076725, -1.64959, -1.80304, -1.41941, -0.115087, 2024-06-26T05:20:19.7692697Z -0.805612, -1.03579, -0.421987, -0.345262, -0.498712, -0.15345, -0.421987, 0.076725, 1.5345, 0.076725, 2024-06-26T05:20:19.7693684Z 1.03579, 0.843975, -0.498712, -0.690525, 0.575437, -0.6138, -1.41941, 0.498712, 0.15345, -1.61122, 2024-06-26T05:20:19.7694739Z 1.64959, 1.68795, -0.115087, -0.6138, 1.15087, 0.959062, 2.03321, 2.87719, 3.069, 2.34011, 2024-06-26T05:20:19.7695688Z 0.575437, 3.72116, -0.690525, -0.3069, 0.345262, 1.07415, -0.421987, 1.18924, 0.268537, -1.03579, 2024-06-26T05:20:19.7696648Z 0.191812, 1.76467, 2.10994, -1.38105, -0.537075, 0.3069, -0.882337, 0.115087, -0.345262, 0.46035, 2024-06-26T05:20:19.7697623Z -0.805612, -1.2276, -1.18924, -3.03064, -2.60865, -1.03579, -1.34269, -1.38105, -0.345262, 2.57029, 2024-06-26T05:20:19.7698242Z ]) 2024-06-26T05:20:19.7698497Z ++ echo ::endgroup:: 2024-06-26T05:20:19.7699129Z ##[endgroup] 2024-06-26T05:20:19.7699411Z ++ set -e 2024-06-26T05:20:19.7699782Z ++ [[ -n '' ]] 2024-06-26T05:20:19.7700061Z ++ [[ -n '' ]] 2024-06-26T05:20:19.7700350Z ++ [[ -n '' ]] 2024-06-26T05:20:19.7700610Z + popd 2024-06-26T05:20:19.7700841Z ~/workspace 2024-06-26T05:20:19.7701206Z + echo 'Testing ExecuTorch op registration' 2024-06-26T05:20:19.7701660Z Testing ExecuTorch op registration 2024-06-26T05:20:19.7702050Z + build/bin/test_edge_op_registration 2024-06-26T05:20:20.0434879Z Note: Google Test filter = *-*_CUDA:*_MultiCUDA 2024-06-26T05:20:20.0435536Z [==========] Running 2 tests from 1 test suite. 2024-06-26T05:20:20.0436124Z [----------] Global test environment set-up. 2024-06-26T05:20:20.0436741Z [----------] 2 tests from OperatorRegistrationTest 2024-06-26T05:20:20.0437349Z [ RUN ] OperatorRegistrationTest.Add 2024-06-26T05:20:20.0440029Z [ OK ] OperatorRegistrationTest.Add (0 ms) 2024-06-26T05:20:20.0441104Z [ RUN ] OperatorRegistrationTest.CustomAdd3 2024-06-26T05:20:20.0442138Z [ OK ] OperatorRegistrationTest.CustomAdd3 (0 ms) 2024-06-26T05:20:20.0442881Z [----------] 2 tests from OperatorRegistrationTest (0 ms total) 2024-06-26T05:20:20.0443304Z 2024-06-26T05:20:20.0443549Z [----------] Global test environment tear-down 2024-06-26T05:20:20.0444167Z [==========] 2 tests from 1 test suite ran. (0 ms total) 2024-06-26T05:20:20.0444787Z [ PASSED ] 2 tests. 2024-06-26T05:20:20.1223984Z + assert_git_not_dirty 2024-06-26T05:20:20.1224611Z + [[ linux-jammy-py3-clang12-executorch != *rocm* ]] 2024-06-26T05:20:20.1225289Z + [[ linux-jammy-py3-clang12-executorch != *xla* ]] 2024-06-26T05:20:20.1230006Z ++ git status --porcelain 2024-06-26T05:20:20.1230450Z ++ grep -v '?? third_party' 2024-06-26T05:20:46.0734983Z ++ true 2024-06-26T05:20:46.0736908Z + git_status= 2024-06-26T05:20:46.0738781Z + [[ -n '' ]] 2024-06-26T05:20:46.0739313Z + cleanup_workspace 2024-06-26T05:20:46.0740516Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2024-06-26T05:20:46.0741846Z sudo may print the following warning message that can be ignored. The chown command will still run. 2024-06-26T05:20:46.0742860Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2024-06-26T05:20:46.0743576Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2024-06-26T05:20:46.0744635Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2024-06-26T05:20:46.0745579Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2024-06-26T05:20:46.0746323Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2024-06-26T05:20:48.0880041Z ##[group]Run cat test/**/*_toprint.log || true 2024-06-26T05:20:48.0880540Z cat test/**/*_toprint.log || true 2024-06-26T05:20:48.1070925Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:20:48.1071413Z env: 2024-06-26T05:20:48.1071685Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:20:48.1072279Z DOCKER_CONTAINER_ID: 5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b 2024-06-26T05:20:48.1072912Z ##[endgroup] 2024-06-26T05:20:48.1135853Z cat: test/**/*_toprint.log: No such file or directory 2024-06-26T05:20:48.1166787Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2024-06-26T05:20:48.1167237Z kill "$MONITOR_SCRIPT_PID" 2024-06-26T05:20:48.1174059Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:20:48.1174554Z env: 2024-06-26T05:20:48.1174811Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:20:48.1175382Z DOCKER_CONTAINER_ID: 5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b 2024-06-26T05:20:48.1176033Z MONITOR_SCRIPT_PID: 22390 2024-06-26T05:20:48.1176362Z ##[endgroup] 2024-06-26T05:20:48.1373808Z Prepare all required actions 2024-06-26T05:20:48.1374243Z Getting action download info 2024-06-26T05:20:48.3012601Z Download action repository 'actions/upload-artifact@v3' (SHA:a8a3f3ad30e3422c9c7b888a15615d19a852ae32) 2024-06-26T05:20:48.4539858Z ##[group]Run ./.github/actions/upload-test-artifacts 2024-06-26T05:20:48.4540310Z with: 2024-06-26T05:20:48.4540700Z file-suffix: test-executorch-1-1-linux.2xlarge_26688288400 2024-06-26T05:20:48.4541228Z s3-bucket: gha-artifacts 2024-06-26T05:20:48.4541527Z env: 2024-06-26T05:20:48.4541782Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:20:48.4542370Z DOCKER_CONTAINER_ID: 5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b 2024-06-26T05:20:48.4543003Z ##[endgroup] 2024-06-26T05:20:48.4569195Z ##[group]Run # Remove any previous test jsons if they exist 2024-06-26T05:20:48.4569807Z # Remove any previous test jsons if they exist 2024-06-26T05:20:48.4570303Z rm -f test-jsons-*.zip 2024-06-26T05:20:48.4570843Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test -i '*.json' 2024-06-26T05:20:48.4578297Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:20:48.4578776Z env: 2024-06-26T05:20:48.4579112Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:20:48.4579787Z DOCKER_CONTAINER_ID: 5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b 2024-06-26T05:20:48.4580562Z FILE_SUFFIX: test-executorch-1-1-linux.2xlarge_26688288400 2024-06-26T05:20:48.4581051Z ##[endgroup] 2024-06-26T05:20:48.4810785Z adding: test/allowlist_for_publicAPI.json (deflated 79%) 2024-06-26T05:20:48.4837766Z adding: test/benchmark_utils/callgrind_artifacts.json (deflated 92%) 2024-06-26T05:20:48.4838746Z adding: test/minioptest_failures_dict.json (deflated 70%) 2024-06-26T05:20:48.4844801Z adding: test/profiler/profiler_utils_mock_events.json (deflated 87%) 2024-06-26T05:20:48.4871317Z ##[group]Run # Remove any previous test reports if they exist 2024-06-26T05:20:48.4871971Z # Remove any previous test reports if they exist 2024-06-26T05:20:48.4872487Z rm -f test-reports-*.zip 2024-06-26T05:20:48.4873060Z zip -r "test-reports-${FILE_SUFFIX}.zip" test -i '*.xml' -i '*.csv' 2024-06-26T05:20:48.4880698Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:20:48.4881180Z env: 2024-06-26T05:20:48.4881431Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:20:48.4882004Z DOCKER_CONTAINER_ID: 5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b 2024-06-26T05:20:48.4882772Z FILE_SUFFIX: test-executorch-1-1-linux.2xlarge_26688288400 2024-06-26T05:20:48.4883271Z ##[endgroup] 2024-06-26T05:20:48.5065156Z zip warning: zip file empty 2024-06-26T05:20:48.5090891Z ##[group]Run # Remove any previous usage logs if they exist 2024-06-26T05:20:48.5091702Z # Remove any previous usage logs if they exist 2024-06-26T05:20:48.5092192Z rm -f logs-*.zip 2024-06-26T05:20:48.5092864Z # this workflow is also run in bazel build test, but we dont generate usage reports for it 2024-06-26T05:20:48.5093642Z # so check to see if the file exists first 2024-06-26T05:20:48.5094127Z if [ -f 'usage_log.txt' ]; then 2024-06-26T05:20:48.5094638Z  zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' 2024-06-26T05:20:48.5095115Z fi 2024-06-26T05:20:48.5095440Z if ls test/**/*.log 1> /dev/null 2>&1; then 2024-06-26T05:20:48.5095997Z  zip -r "logs-${FILE_SUFFIX}.zip" test -i '*.log' 2024-06-26T05:20:48.5096476Z fi 2024-06-26T05:20:48.5103349Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:20:48.5103835Z env: 2024-06-26T05:20:48.5104100Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:20:48.5104676Z DOCKER_CONTAINER_ID: 5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b 2024-06-26T05:20:48.5105448Z FILE_SUFFIX: test-executorch-1-1-linux.2xlarge_26688288400 2024-06-26T05:20:48.5105951Z ##[endgroup] 2024-06-26T05:20:48.5147948Z adding: usage_log.txt (deflated 92%) 2024-06-26T05:20:48.5256116Z ##[group]Run # Remove any previous debugging artifacts if they exist 2024-06-26T05:20:48.5256821Z # Remove any previous debugging artifacts if they exist 2024-06-26T05:20:48.5257367Z rm -f debug-*.zip 2024-06-26T05:20:48.5257726Z if [ -d 'test/debug' ]; then 2024-06-26T05:20:48.5258197Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2024-06-26T05:20:48.5258654Z fi 2024-06-26T05:20:48.5265624Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:20:48.5266094Z env: 2024-06-26T05:20:48.5266353Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:20:48.5266936Z DOCKER_CONTAINER_ID: 5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b 2024-06-26T05:20:48.5267703Z FILE_SUFFIX: test-executorch-1-1-linux.2xlarge_26688288400 2024-06-26T05:20:48.5268202Z ##[endgroup] 2024-06-26T05:20:48.5342780Z ##[group]Run seemethere/upload-artifact-s3@v5 2024-06-26T05:20:48.5343192Z with: 2024-06-26T05:20:48.5343464Z s3-bucket: gha-artifacts 2024-06-26T05:20:48.5343864Z s3-prefix: pytorch/pytorch/9673645538/1/artifact 2024-06-26T05:20:48.5344300Z retention-days: 14 2024-06-26T05:20:48.5344610Z if-no-files-found: warn 2024-06-26T05:20:48.5345036Z path: test-jsons-*.zip 2024-06-26T05:20:48.5345343Z name: artifact 2024-06-26T05:20:48.5345621Z region: us-east-1 2024-06-26T05:20:48.5345898Z env: 2024-06-26T05:20:48.5346132Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:20:48.5346712Z DOCKER_CONTAINER_ID: 5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b 2024-06-26T05:20:48.5347344Z ##[endgroup] 2024-06-26T05:20:48.9042961Z NOTE: s3-prefix specified, ignoring name parameter 2024-06-26T05:20:48.9044205Z With the provided path, there will be 1 file uploaded 2024-06-26T05:20:48.9044835Z Uploading to s3 prefix: pytorch/pytorch/9673645538/1/artifact 2024-06-26T05:20:49.1000751Z Starting upload of test-jsons-test-executorch-1-1-linux.2xlarge_26688288400.zip 2024-06-26T05:20:49.2723137Z Finished upload of test-jsons-test-executorch-1-1-linux.2xlarge_26688288400.zip 2024-06-26T05:20:49.2878789Z ##[group]Run seemethere/upload-artifact-s3@v5 2024-06-26T05:20:49.2879445Z with: 2024-06-26T05:20:49.2879737Z s3-bucket: gha-artifacts 2024-06-26T05:20:49.2880157Z s3-prefix: pytorch/pytorch/9673645538/1/artifact 2024-06-26T05:20:49.2880616Z retention-days: 14 2024-06-26T05:20:49.2880917Z if-no-files-found: error 2024-06-26T05:20:49.2881260Z path: test-reports-*.zip 2024-06-26T05:20:49.2881586Z name: artifact 2024-06-26T05:20:49.2881851Z region: us-east-1 2024-06-26T05:20:49.2882127Z env: 2024-06-26T05:20:49.2882379Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:20:49.2882951Z DOCKER_CONTAINER_ID: 5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b 2024-06-26T05:20:49.2883591Z ##[endgroup] 2024-06-26T05:20:49.6307997Z NOTE: s3-prefix specified, ignoring name parameter 2024-06-26T05:20:49.6308682Z With the provided path, there will be 1 file uploaded 2024-06-26T05:20:49.6309297Z Uploading to s3 prefix: pytorch/pytorch/9673645538/1/artifact 2024-06-26T05:20:49.6343811Z Starting upload of test-reports-test-executorch-1-1-linux.2xlarge_26688288400.zip 2024-06-26T05:20:49.7100168Z Finished upload of test-reports-test-executorch-1-1-linux.2xlarge_26688288400.zip 2024-06-26T05:20:49.7237064Z ##[group]Run seemethere/upload-artifact-s3@v5 2024-06-26T05:20:49.7237478Z with: 2024-06-26T05:20:49.7237738Z s3-bucket: gha-artifacts 2024-06-26T05:20:49.7238320Z s3-prefix: pytorch/pytorch/9673645538/1/artifact 2024-06-26T05:20:49.7238767Z retention-days: 14 2024-06-26T05:20:49.7239085Z if-no-files-found: ignore 2024-06-26T05:20:49.7239424Z path: logs-*.zip 2024-06-26T05:20:49.7239701Z name: artifact 2024-06-26T05:20:49.7239979Z region: us-east-1 2024-06-26T05:20:49.7240254Z env: 2024-06-26T05:20:49.7240489Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:20:49.7241071Z DOCKER_CONTAINER_ID: 5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b 2024-06-26T05:20:49.7241707Z ##[endgroup] 2024-06-26T05:20:50.0615268Z NOTE: s3-prefix specified, ignoring name parameter 2024-06-26T05:20:50.0616313Z With the provided path, there will be 1 file uploaded 2024-06-26T05:20:50.0617495Z Uploading to s3 prefix: pytorch/pytorch/9673645538/1/artifact 2024-06-26T05:20:50.0652768Z Starting upload of logs-test-executorch-1-1-linux.2xlarge_26688288400.zip 2024-06-26T05:20:50.1697926Z Finished upload of logs-test-executorch-1-1-linux.2xlarge_26688288400.zip 2024-06-26T05:20:50.1835116Z ##[group]Run seemethere/upload-artifact-s3@v5 2024-06-26T05:20:50.1835529Z with: 2024-06-26T05:20:50.1835788Z s3-bucket: gha-artifacts 2024-06-26T05:20:50.1836192Z s3-prefix: pytorch/pytorch/9673645538/1/artifact 2024-06-26T05:20:50.1836643Z retention-days: 14 2024-06-26T05:20:50.1836955Z if-no-files-found: ignore 2024-06-26T05:20:50.1837289Z path: debug-*.zip 2024-06-26T05:20:50.1837560Z name: artifact 2024-06-26T05:20:50.1837832Z region: us-east-1 2024-06-26T05:20:50.1838270Z env: 2024-06-26T05:20:50.1838515Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:20:50.1839099Z DOCKER_CONTAINER_ID: 5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b 2024-06-26T05:20:50.1839736Z ##[endgroup] 2024-06-26T05:20:50.5177591Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2024-06-26T05:20:50.5313766Z ##[group]Run # shellcheck disable=SC2156 2024-06-26T05:20:50.5314227Z # shellcheck disable=SC2156 2024-06-26T05:20:50.5315023Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2024-06-26T05:20:50.5322842Z shell: /usr/bin/bash -e {0} 2024-06-26T05:20:50.5323181Z env: 2024-06-26T05:20:50.5323525Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:20:50.5324103Z DOCKER_CONTAINER_ID: 5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b 2024-06-26T05:20:50.5324747Z ##[endgroup] 2024-06-26T05:20:50.7778023Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2024-06-26T05:20:50.7778562Z with: 2024-06-26T05:20:50.7778803Z env: 2024-06-26T05:20:50.7779064Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:20:50.7779641Z DOCKER_CONTAINER_ID: 5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b 2024-06-26T05:20:50.7780375Z ##[endgroup] 2024-06-26T05:20:50.7800862Z ##[group]Run set -eou pipefail 2024-06-26T05:20:50.7801263Z set -eou pipefail 2024-06-26T05:20:50.7801593Z  2024-06-26T05:20:50.7802084Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2024-06-26T05:20:50.7802702Z for _ in $(seq 1440); do 2024-06-26T05:20:50.7803154Z  # Break if no ssh session exists anymore 2024-06-26T05:20:50.7803636Z  if [ "$(who)" = "" ]; then 2024-06-26T05:20:50.7804009Z  break 2024-06-26T05:20:50.7804298Z  fi 2024-06-26T05:20:50.7804603Z  echo "." 2024-06-26T05:20:50.7804907Z  sleep 5 2024-06-26T05:20:50.7805199Z done 2024-06-26T05:20:50.7812367Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:20:50.7812852Z env: 2024-06-26T05:20:50.7813109Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:20:50.7813679Z DOCKER_CONTAINER_ID: 5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b 2024-06-26T05:20:50.7814323Z ##[endgroup] 2024-06-26T05:20:50.7835492Z Holding runner for 2 hours until all ssh sessions have logged out 2024-06-26T05:20:50.7930102Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2024-06-26T05:20:50.7930867Z # ignore expansion of "docker ps -q" since it could be empty 2024-06-26T05:20:50.7931454Z # shellcheck disable=SC2046 2024-06-26T05:20:50.7931909Z docker stop $(docker ps -q) || true 2024-06-26T05:20:50.7932354Z # Prune all of the docker images 2024-06-26T05:20:50.7932786Z docker system prune -af 2024-06-26T05:20:50.7939890Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:20:50.7940364Z env: 2024-06-26T05:20:50.7940622Z GIT_DEFAULT_BRANCH: main 2024-06-26T05:20:50.7941213Z DOCKER_CONTAINER_ID: 5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b 2024-06-26T05:20:50.7941842Z ##[endgroup] 2024-06-26T05:21:01.1898680Z 5b6623b73931 2024-06-26T05:21:02.3911076Z Deleted Containers: 2024-06-26T05:21:02.3911814Z 5b6623b73931128753ba5cd7b33393e74f0aeb3131a9b686eab67112086b453b 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2024-06-26T05:21:12.7822919Z Post job cleanup. 2024-06-26T05:21:12.8713069Z [command]/usr/bin/git version 2024-06-26T05:21:12.8972135Z git version 2.40.1 2024-06-26T05:21:12.9016858Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/1e7163b9-2a61-492a-86ee-1a5e28d5ffd7' before making global git config changes 2024-06-26T05:21:12.9019092Z Adding repository directory to the temporary git global config as a safe directory 2024-06-26T05:21:12.9024197Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-06-26T05:21:12.9074949Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2024-06-26T05:21:12.9109564Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2024-06-26T05:21:12.9554576Z Entering 'android/libs/fbjni' 2024-06-26T05:21:12.9605615Z Entering 'third_party/FP16' 2024-06-26T05:21:12.9654192Z Entering 'third_party/FXdiv' 2024-06-26T05:21:12.9701625Z Entering 'third_party/NNPACK' 2024-06-26T05:21:12.9758714Z Entering 'third_party/VulkanMemoryAllocator' 2024-06-26T05:21:12.9800905Z Entering 'third_party/XNNPACK' 2024-06-26T05:21:12.9927024Z Entering 'third_party/benchmark' 2024-06-26T05:21:12.9979312Z Entering 'third_party/cpp-httplib' 2024-06-26T05:21:13.0021906Z Entering 'third_party/cpuinfo' 2024-06-26T05:21:13.0071548Z Entering 'third_party/cudnn_frontend' 2024-06-26T05:21:13.0114994Z Entering 'third_party/cutlass' 2024-06-26T05:21:13.0166688Z Entering 'third_party/eigen' 2024-06-26T05:21:13.0233984Z Entering 'third_party/fbgemm' 2024-06-26T05:21:13.0299258Z Entering 'third_party/fbgemm/third_party/asmjit' 2024-06-26T05:21:13.0365904Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2024-06-26T05:21:13.0427425Z Entering 'third_party/fbgemm/third_party/cutlass' 2024-06-26T05:21:13.0523444Z Entering 'third_party/fbgemm/third_party/googletest' 2024-06-26T05:21:13.0586596Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2024-06-26T05:21:13.0640804Z Entering 'third_party/flatbuffers' 2024-06-26T05:21:13.0686581Z Entering 'third_party/fmt' 2024-06-26T05:21:13.0741063Z Entering 'third_party/foxi' 2024-06-26T05:21:13.0787869Z Entering 'third_party/gemmlowp/gemmlowp' 2024-06-26T05:21:13.0835672Z Entering 'third_party/gloo' 2024-06-26T05:21:13.0884414Z Entering 'third_party/googletest' 2024-06-26T05:21:13.0934280Z Entering 'third_party/ideep' 2024-06-26T05:21:13.0991055Z Entering 'third_party/ideep/mkl-dnn' 2024-06-26T05:21:13.1081146Z Entering 'third_party/ittapi' 2024-06-26T05:21:13.1124322Z Entering 'third_party/kineto' 2024-06-26T05:21:13.1167246Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2024-06-26T05:21:13.1209703Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2024-06-26T05:21:13.1253113Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2024-06-26T05:21:13.1295693Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2024-06-26T05:21:13.1336859Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2024-06-26T05:21:13.1378795Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2024-06-26T05:21:13.1421436Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2024-06-26T05:21:13.1464381Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2024-06-26T05:21:13.1507259Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2024-06-26T05:21:13.1549597Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2024-06-26T05:21:13.1592698Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2024-06-26T05:21:13.1634464Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2024-06-26T05:21:13.1677725Z Entering 'third_party/mimalloc' 2024-06-26T05:21:13.1722150Z Entering 'third_party/nccl/nccl' 2024-06-26T05:21:13.1770904Z Entering 'third_party/nlohmann' 2024-06-26T05:21:13.1814688Z Entering 'third_party/onnx' 2024-06-26T05:21:13.1958840Z Entering 'third_party/onnx/third_party/benchmark' 2024-06-26T05:21:13.2027464Z Entering 'third_party/onnx/third_party/pybind11' 2024-06-26T05:21:13.2085094Z Entering 'third_party/opentelemetry-cpp' 2024-06-26T05:21:13.2129686Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2024-06-26T05:21:13.2170781Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2024-06-26T05:21:13.2211552Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2024-06-26T05:21:13.2252779Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2024-06-26T05:21:13.2295782Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2024-06-26T05:21:13.2339254Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2024-06-26T05:21:13.2380829Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2024-06-26T05:21:13.2422720Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2024-06-26T05:21:13.2468891Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2024-06-26T05:21:13.2511940Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2024-06-26T05:21:13.2575543Z Entering 'third_party/pocketfft' 2024-06-26T05:21:13.2619737Z Entering 'third_party/protobuf' 2024-06-26T05:21:13.2711469Z Entering 'third_party/protobuf/third_party/benchmark' 2024-06-26T05:21:13.2776074Z Entering 'third_party/protobuf/third_party/googletest' 2024-06-26T05:21:13.2834880Z Entering 'third_party/psimd' 2024-06-26T05:21:13.2883879Z Entering 'third_party/pthreadpool' 2024-06-26T05:21:13.2931035Z Entering 'third_party/pybind11' 2024-06-26T05:21:13.2980432Z Entering 'third_party/python-peachpy' 2024-06-26T05:21:13.3030495Z Entering 'third_party/sleef' 2024-06-26T05:21:13.3080065Z Entering 'third_party/tensorpipe' 2024-06-26T05:21:13.3133236Z Entering 'third_party/tensorpipe/third_party/googletest' 2024-06-26T05:21:13.3194403Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-06-26T05:21:13.3253315Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-06-26T05:21:13.3314624Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-06-26T05:21:13.3373842Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-06-26T05:21:13.3444867Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2024-06-26T05:21:13.3468561Z http.https://github.com/.extraheader 2024-06-26T05:21:13.3477169Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2024-06-26T05:21:13.3508391Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2024-06-26T05:21:13.3765023Z Entering 'android/libs/fbjni' 2024-06-26T05:21:13.3791651Z http.https://github.com/.extraheader 2024-06-26T05:21:13.3820408Z Entering 'third_party/FP16' 2024-06-26T05:21:13.3847925Z http.https://github.com/.extraheader 2024-06-26T05:21:13.3876057Z Entering 'third_party/FXdiv' 2024-06-26T05:21:13.3904096Z http.https://github.com/.extraheader 2024-06-26T05:21:13.3931415Z Entering 'third_party/NNPACK' 2024-06-26T05:21:13.3958913Z http.https://github.com/.extraheader 2024-06-26T05:21:13.3987743Z Entering 'third_party/VulkanMemoryAllocator' 2024-06-26T05:21:13.4015941Z http.https://github.com/.extraheader 2024-06-26T05:21:13.4045035Z Entering 'third_party/XNNPACK' 2024-06-26T05:21:13.4072307Z http.https://github.com/.extraheader 2024-06-26T05:21:13.4119120Z Entering 'third_party/benchmark' 2024-06-26T05:21:13.4146914Z http.https://github.com/.extraheader 2024-06-26T05:21:13.4175805Z Entering 'third_party/cpp-httplib' 2024-06-26T05:21:13.4204633Z http.https://github.com/.extraheader 2024-06-26T05:21:13.4232449Z Entering 'third_party/cpuinfo' 2024-06-26T05:21:13.4260999Z http.https://github.com/.extraheader 2024-06-26T05:21:13.4288977Z Entering 'third_party/cudnn_frontend' 2024-06-26T05:21:13.4316268Z http.https://github.com/.extraheader 2024-06-26T05:21:13.4344284Z Entering 'third_party/cutlass' 2024-06-26T05:21:13.4372564Z http.https://github.com/.extraheader 2024-06-26T05:21:13.4409646Z Entering 'third_party/eigen' 2024-06-26T05:21:13.4436918Z http.https://github.com/.extraheader 2024-06-26T05:21:13.4466719Z Entering 'third_party/fbgemm' 2024-06-26T05:21:13.4494407Z http.https://github.com/.extraheader 2024-06-26T05:21:13.4522049Z Entering 'third_party/fbgemm/third_party/asmjit' 2024-06-26T05:21:13.4548395Z http.https://github.com/.extraheader 2024-06-26T05:21:13.4576200Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2024-06-26T05:21:13.4602742Z http.https://github.com/.extraheader 2024-06-26T05:21:13.4630336Z Entering 'third_party/fbgemm/third_party/cutlass' 2024-06-26T05:21:13.4656876Z http.https://github.com/.extraheader 2024-06-26T05:21:13.4691389Z Entering 'third_party/fbgemm/third_party/googletest' 2024-06-26T05:21:13.4717153Z http.https://github.com/.extraheader 2024-06-26T05:21:13.4744331Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2024-06-26T05:21:13.4770891Z http.https://github.com/.extraheader 2024-06-26T05:21:13.4799417Z Entering 'third_party/flatbuffers' 2024-06-26T05:21:13.4826876Z http.https://github.com/.extraheader 2024-06-26T05:21:13.4857026Z Entering 'third_party/fmt' 2024-06-26T05:21:13.4884368Z http.https://github.com/.extraheader 2024-06-26T05:21:13.4911617Z Entering 'third_party/foxi' 2024-06-26T05:21:13.4938292Z http.https://github.com/.extraheader 2024-06-26T05:21:13.4965384Z Entering 'third_party/gemmlowp/gemmlowp' 2024-06-26T05:21:13.4992329Z http.https://github.com/.extraheader 2024-06-26T05:21:13.5020030Z Entering 'third_party/gloo' 2024-06-26T05:21:13.5047915Z http.https://github.com/.extraheader 2024-06-26T05:21:13.5076009Z Entering 'third_party/googletest' 2024-06-26T05:21:13.5103393Z http.https://github.com/.extraheader 2024-06-26T05:21:13.5131899Z Entering 'third_party/ideep' 2024-06-26T05:21:13.5159439Z http.https://github.com/.extraheader 2024-06-26T05:21:13.5187107Z Entering 'third_party/ideep/mkl-dnn' 2024-06-26T05:21:13.5214088Z http.https://github.com/.extraheader 2024-06-26T05:21:13.5249969Z Entering 'third_party/ittapi' 2024-06-26T05:21:13.5277460Z http.https://github.com/.extraheader 2024-06-26T05:21:13.5305540Z Entering 'third_party/kineto' 2024-06-26T05:21:13.5333913Z http.https://github.com/.extraheader 2024-06-26T05:21:13.5361900Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2024-06-26T05:21:13.5388649Z http.https://github.com/.extraheader 2024-06-26T05:21:13.5416794Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2024-06-26T05:21:13.5443761Z http.https://github.com/.extraheader 2024-06-26T05:21:13.5473628Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2024-06-26T05:21:13.5500065Z http.https://github.com/.extraheader 2024-06-26T05:21:13.5528280Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2024-06-26T05:21:13.5554921Z http.https://github.com/.extraheader 2024-06-26T05:21:13.5583394Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2024-06-26T05:21:13.5610105Z http.https://github.com/.extraheader 2024-06-26T05:21:13.5637746Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2024-06-26T05:21:13.5664881Z http.https://github.com/.extraheader 2024-06-26T05:21:13.5695018Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2024-06-26T05:21:13.5721555Z http.https://github.com/.extraheader 2024-06-26T05:21:13.5750122Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2024-06-26T05:21:13.5777378Z http.https://github.com/.extraheader 2024-06-26T05:21:13.5806542Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2024-06-26T05:21:13.5833809Z http.https://github.com/.extraheader 2024-06-26T05:21:13.5863361Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2024-06-26T05:21:13.5891571Z http.https://github.com/.extraheader 2024-06-26T05:21:13.5921395Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2024-06-26T05:21:13.5948642Z http.https://github.com/.extraheader 2024-06-26T05:21:13.5976755Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2024-06-26T05:21:13.6004011Z http.https://github.com/.extraheader 2024-06-26T05:21:13.6033550Z Entering 'third_party/mimalloc' 2024-06-26T05:21:13.6062030Z http.https://github.com/.extraheader 2024-06-26T05:21:13.6089389Z Entering 'third_party/nccl/nccl' 2024-06-26T05:21:13.6117376Z http.https://github.com/.extraheader 2024-06-26T05:21:13.6145710Z Entering 'third_party/nlohmann' 2024-06-26T05:21:13.6172193Z http.https://github.com/.extraheader 2024-06-26T05:21:13.6201118Z Entering 'third_party/onnx' 2024-06-26T05:21:13.6228136Z http.https://github.com/.extraheader 2024-06-26T05:21:13.6273058Z Entering 'third_party/onnx/third_party/benchmark' 2024-06-26T05:21:13.6299595Z http.https://github.com/.extraheader 2024-06-26T05:21:13.6327174Z Entering 'third_party/onnx/third_party/pybind11' 2024-06-26T05:21:13.6353369Z http.https://github.com/.extraheader 2024-06-26T05:21:13.6382861Z Entering 'third_party/opentelemetry-cpp' 2024-06-26T05:21:13.6410318Z http.https://github.com/.extraheader 2024-06-26T05:21:13.6440221Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2024-06-26T05:21:13.6465341Z http.https://github.com/.extraheader 2024-06-26T05:21:13.6492476Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2024-06-26T05:21:13.6517738Z http.https://github.com/.extraheader 2024-06-26T05:21:13.6544738Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2024-06-26T05:21:13.6570285Z http.https://github.com/.extraheader 2024-06-26T05:21:13.6597453Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2024-06-26T05:21:13.6624696Z http.https://github.com/.extraheader 2024-06-26T05:21:13.6654307Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2024-06-26T05:21:13.6680948Z http.https://github.com/.extraheader 2024-06-26T05:21:13.6708154Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2024-06-26T05:21:13.6734162Z http.https://github.com/.extraheader 2024-06-26T05:21:13.6761831Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2024-06-26T05:21:13.6787777Z http.https://github.com/.extraheader 2024-06-26T05:21:13.6816042Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2024-06-26T05:21:13.6843369Z http.https://github.com/.extraheader 2024-06-26T05:21:13.6872842Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2024-06-26T05:21:13.6899206Z http.https://github.com/.extraheader 2024-06-26T05:21:13.6928923Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2024-06-26T05:21:13.6955460Z http.https://github.com/.extraheader 2024-06-26T05:21:13.7005664Z Entering 'third_party/pocketfft' 2024-06-26T05:21:13.7033659Z http.https://github.com/.extraheader 2024-06-26T05:21:13.7061620Z Entering 'third_party/protobuf' 2024-06-26T05:21:13.7090953Z http.https://github.com/.extraheader 2024-06-26T05:21:13.7122259Z Entering 'third_party/protobuf/third_party/benchmark' 2024-06-26T05:21:13.7149283Z http.https://github.com/.extraheader 2024-06-26T05:21:13.7176622Z Entering 'third_party/protobuf/third_party/googletest' 2024-06-26T05:21:13.7204501Z http.https://github.com/.extraheader 2024-06-26T05:21:13.7233998Z Entering 'third_party/psimd' 2024-06-26T05:21:13.7261662Z http.https://github.com/.extraheader 2024-06-26T05:21:13.7288784Z Entering 'third_party/pthreadpool' 2024-06-26T05:21:13.7316045Z http.https://github.com/.extraheader 2024-06-26T05:21:13.7345245Z Entering 'third_party/pybind11' 2024-06-26T05:21:13.7373017Z http.https://github.com/.extraheader 2024-06-26T05:21:13.7400832Z Entering 'third_party/python-peachpy' 2024-06-26T05:21:13.7427643Z http.https://github.com/.extraheader 2024-06-26T05:21:13.7456186Z Entering 'third_party/sleef' 2024-06-26T05:21:13.7483296Z http.https://github.com/.extraheader 2024-06-26T05:21:13.7510531Z Entering 'third_party/tensorpipe' 2024-06-26T05:21:13.7537964Z http.https://github.com/.extraheader 2024-06-26T05:21:13.7565214Z Entering 'third_party/tensorpipe/third_party/googletest' 2024-06-26T05:21:13.7591982Z http.https://github.com/.extraheader 2024-06-26T05:21:13.7619569Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-06-26T05:21:13.7646980Z http.https://github.com/.extraheader 2024-06-26T05:21:13.7674420Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-06-26T05:21:13.7701612Z http.https://github.com/.extraheader 2024-06-26T05:21:13.7728182Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-06-26T05:21:13.7755343Z http.https://github.com/.extraheader 2024-06-26T05:21:13.7783380Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-06-26T05:21:13.7809677Z http.https://github.com/.extraheader 2024-06-26T05:21:13.7914834Z A job completed hook has been configured by the self-hosted runner administrator 2024-06-26T05:21:13.7934647Z ##[group]Run '/home/ec2-user/runner-scripts/cleanup.sh' 2024-06-26T05:21:13.7941604Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-06-26T05:21:13.7942121Z ##[endgroup] 2024-06-26T05:21:16.3765774Z Cleaning up orphan processes