2024-08-22T20:28:59.3850357Z Current runner version: '2.319.1'
2024-08-22T20:28:59.3856788Z Runner name: 'i-0a2c28cdd0744cb4e'
2024-08-22T20:28:59.3857721Z Runner group name: 'Default'
2024-08-22T20:28:59.3858591Z Machine name: 'ip-10-0-27-213'
2024-08-22T20:28:59.3876653Z Testing runner upgrade compatibility
2024-08-22T20:28:59.5301463Z ##[group]GITHUB_TOKEN Permissions
2024-08-22T20:28:59.5303425Z Contents: read
2024-08-22T20:28:59.5304050Z Metadata: read
2024-08-22T20:28:59.5304524Z Packages: read
2024-08-22T20:28:59.5305063Z ##[endgroup]
2024-08-22T20:28:59.5308188Z Secret source: Actions
2024-08-22T20:28:59.5308874Z Prepare workflow directory
2024-08-22T20:28:59.6348353Z Prepare all required actions
2024-08-22T20:28:59.6517157Z Getting action download info
2024-08-22T20:28:59.8086013Z Download action repository 'actions/checkout@v3' (SHA:f43a0e5ff2bd294095638e18286ca9a3d1956744)
2024-08-22T20:28:59.9974359Z Download action repository 'actions/download-artifact@v3' (SHA:9bc31d5ccc31df68ecc42ccf4149144866c47d8a)
2024-08-22T20:29:00.2115108Z Download action repository 'pmeier/pytest-results-action@v0.3.0' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1)
2024-08-22T20:29:00.3296092Z Download action repository 'actions/upload-artifact@v3' (SHA:a8a3f3ad30e3422c9c7b888a15615d19a852ae32)
2024-08-22T20:29:00.4783103Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2024-08-22T20:29:00.7594312Z Uses: pytorch/test-infra/.github/workflows/linux_job.yml@refs/heads/main (6dab351bed7d1c647665a8b8e883ec5b1c973feb)
2024-08-22T20:29:00.7596608Z ##[group] Inputs
2024-08-22T20:29:00.7601990Z   script: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:29:00.7608129Z   timeout: 60
2024-08-22T20:29:00.7608586Z   runner: linux.g5.4xlarge.nvidia.gpu
2024-08-22T20:29:00.7609203Z   upload-artifact: 
2024-08-22T20:29:00.7609663Z   download-artifact: 
2024-08-22T20:29:00.7610096Z   repository: 
2024-08-22T20:29:00.7610554Z   fetch-depth: 1
2024-08-22T20:29:00.7610970Z   submodules: 
2024-08-22T20:29:00.7611324Z   ref: 
2024-08-22T20:29:00.7611819Z   test-infra-repository: pytorch/test-infra
2024-08-22T20:29:00.7612358Z   test-infra-ref: 
2024-08-22T20:29:00.7612758Z   docker-image: pytorch/conda-builder
2024-08-22T20:29:00.7613344Z   docker-build-dir: .ci/docker
2024-08-22T20:29:00.7613810Z   gpu-arch-type: cuda
2024-08-22T20:29:00.7614205Z   gpu-arch-version: 12.1
2024-08-22T20:29:00.7614763Z   job-name: linux-job
2024-08-22T20:29:00.7615535Z   continue-on-error: false
2024-08-22T20:29:00.7615968Z   binary-matrix: 
2024-08-22T20:29:00.7616476Z   run-with-docker: true
2024-08-22T20:29:00.7616906Z   secrets-env: 
2024-08-22T20:29:00.7617264Z   no-sudo: false
2024-08-22T20:29:00.7617764Z ##[endgroup]
2024-08-22T20:29:00.7618585Z Complete job name: test-gpu-aoti-bfloat16 (cuda, stories15M) / linux-job
2024-08-22T20:29:00.8338016Z A job started hook has been configured by the self-hosted runner administrator
2024-08-22T20:29:00.8493712Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2024-08-22T20:29:00.8506388Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:29:00.8507271Z ##[endgroup]
2024-08-22T20:29:01.8211053Z Runner Type: linux.g5.4xlarge.nvidia.gpu
2024-08-22T20:29:01.8211572Z Instance Type: g5.4xlarge
2024-08-22T20:29:01.8212254Z AMI Name: al2023-ami-2023.5.20240701.0-kernel-6.1-x86_64
2024-08-22T20:29:01.8212787Z AMI ID: ami-06c68f701d8090592
2024-08-22T20:29:07.6149708Z ##[group]Run set -euxo pipefail
2024-08-22T20:29:07.6150271Z set -euxo pipefail
2024-08-22T20:29:07.6150701Z if [[ "${NO_SUDO}" == "false" ]]; then
2024-08-22T20:29:07.6151251Z   echo "::group::Cleanup with-sudo debug output"
2024-08-22T20:29:07.6151783Z   sudo rm -rfv "${GITHUB_WORKSPACE}"
2024-08-22T20:29:07.6152210Z else
2024-08-22T20:29:07.6152588Z   echo "::group::Cleanup no-sudo debug output"
2024-08-22T20:29:07.6153085Z   rm -rfv "${GITHUB_WORKSPACE}"
2024-08-22T20:29:07.6153483Z fi
2024-08-22T20:29:07.6153756Z 
2024-08-22T20:29:07.6154070Z mkdir -p "${GITHUB_WORKSPACE}"
2024-08-22T20:29:07.6154488Z echo "::endgroup::"
2024-08-22T20:29:07.6165484Z shell: /usr/bin/bash -e {0}
2024-08-22T20:29:07.6165842Z env:
2024-08-22T20:29:07.6166191Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:07.6166685Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:29:07.6167111Z   PR_NUMBER: 1044
2024-08-22T20:29:07.6172099Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:29:07.6177416Z   NO_SUDO: false
2024-08-22T20:29:07.6177707Z ##[endgroup]
2024-08-22T20:29:07.6212016Z + [[ false == \f\a\l\s\e ]]
2024-08-22T20:29:07.6233647Z ##[group]Cleanup with-sudo debug output
2024-08-22T20:29:07.6242663Z + echo '::group::Cleanup with-sudo debug output'
2024-08-22T20:29:07.6243364Z + sudo rm -rfv /home/ec2-user/actions-runner/_work/torchchat/torchchat
2024-08-22T20:29:07.7122695Z removed directory '/home/ec2-user/actions-runner/_work/torchchat/torchchat'
2024-08-22T20:29:07.7144399Z + mkdir -p /home/ec2-user/actions-runner/_work/torchchat/torchchat
2024-08-22T20:29:07.7158291Z + echo ::endgroup::
2024-08-22T20:29:07.7159233Z ##[endgroup]
2024-08-22T20:29:07.7271494Z ##[group]Run actions/checkout@v3
2024-08-22T20:29:07.7271904Z with:
2024-08-22T20:29:07.7272243Z   repository: pytorch/test-infra
2024-08-22T20:29:07.7272620Z   path: test-infra
2024-08-22T20:29:07.7272939Z   submodules: recursive
2024-08-22T20:29:07.7273508Z   token: ***
2024-08-22T20:29:07.7273811Z   ssh-strict: true
2024-08-22T20:29:07.7274136Z   persist-credentials: true
2024-08-22T20:29:07.7274485Z   clean: true
2024-08-22T20:29:07.7274797Z   sparse-checkout-cone-mode: true
2024-08-22T20:29:07.7275183Z   fetch-depth: 1
2024-08-22T20:29:07.7275486Z   fetch-tags: false
2024-08-22T20:29:07.7275784Z   lfs: false
2024-08-22T20:29:07.7276085Z   set-safe-directory: true
2024-08-22T20:29:07.7276424Z env:
2024-08-22T20:29:07.7276743Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:07.7277200Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:29:07.7277578Z   PR_NUMBER: 1044
2024-08-22T20:29:07.7282829Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:29:07.7288164Z ##[endgroup]
2024-08-22T20:29:07.8334878Z Syncing repository: pytorch/test-infra
2024-08-22T20:29:07.8335734Z ##[group]Getting Git version info
2024-08-22T20:29:07.8336528Z Working directory is '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra'
2024-08-22T20:29:07.8337436Z [command]/usr/bin/git version
2024-08-22T20:29:07.8337791Z git version 2.40.1
2024-08-22T20:29:07.8339183Z ##[endgroup]
2024-08-22T20:29:07.8351997Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/f4a2aed8-33a1-4f35-898e-41eab1a4e7a2' before making global git config changes
2024-08-22T20:29:07.8353219Z Adding repository directory to the temporary git global config as a safe directory
2024-08-22T20:29:07.8356760Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra
2024-08-22T20:29:07.8402846Z ##[group]Initializing the repository
2024-08-22T20:29:07.8405828Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra
2024-08-22T20:29:07.8447987Z hint: Using 'master' as the name for the initial branch. This default branch name
2024-08-22T20:29:07.8449079Z hint: is subject to change. To configure the initial branch name to use in all
2024-08-22T20:29:07.8449954Z hint: of your new repositories, which will suppress this warning, call:
2024-08-22T20:29:07.8450508Z hint: 
2024-08-22T20:29:07.8450978Z hint: 	git config --global init.defaultBranch <name>
2024-08-22T20:29:07.8451444Z hint: 
2024-08-22T20:29:07.8451955Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2024-08-22T20:29:07.8452788Z hint: 'development'. The just-created branch can be renamed via this command:
2024-08-22T20:29:07.8453370Z hint: 
2024-08-22T20:29:07.8453698Z hint: 	git branch -m <name>
2024-08-22T20:29:07.8454528Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/.git/
2024-08-22T20:29:07.8462810Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra
2024-08-22T20:29:07.8504449Z ##[endgroup]
2024-08-22T20:29:07.8505014Z ##[group]Disabling automatic garbage collection
2024-08-22T20:29:07.8507308Z [command]/usr/bin/git config --local gc.auto 0
2024-08-22T20:29:07.8546742Z ##[endgroup]
2024-08-22T20:29:07.8547244Z ##[group]Setting up auth
2024-08-22T20:29:07.8552138Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2024-08-22T20:29:07.8593759Z [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' || :"
2024-08-22T20:29:07.8961680Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2024-08-22T20:29:07.9001735Z [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' || :"
2024-08-22T20:29:07.9349847Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2024-08-22T20:29:07.9401283Z ##[endgroup]
2024-08-22T20:29:07.9401833Z ##[group]Determining the default branch
2024-08-22T20:29:07.9404708Z Retrieving the default branch name
2024-08-22T20:29:08.0906439Z Default branch 'main'
2024-08-22T20:29:08.0907131Z ##[endgroup]
2024-08-22T20:29:08.0907676Z ##[group]Fetching the repository
2024-08-22T20:29:08.0912032Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --progress --no-recurse-submodules --depth=1 origin +refs/heads/main:refs/remotes/origin/main
2024-08-22T20:29:08.3032654Z remote: Enumerating objects: 1649, done.        
2024-08-22T20:29:08.3033440Z remote: Counting objects:   0% (1/1649)        
2024-08-22T20:29:08.3034489Z remote: Counting objects:   1% (17/1649)        
2024-08-22T20:29:08.3035265Z remote: Counting objects:   2% (33/1649)        
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2024-08-22T20:29:08.3084710Z remote: Counting objects:  66% (1089/1649)        
2024-08-22T20:29:08.3085486Z remote: Counting objects:  67% (1105/1649)        
2024-08-22T20:29:08.3086294Z remote: Counting objects:  68% (1122/1649)        
2024-08-22T20:29:08.3087083Z remote: Counting objects:  69% (1138/1649)        
2024-08-22T20:29:08.3087852Z remote: Counting objects:  70% (1155/1649)        
2024-08-22T20:29:08.3088605Z remote: Counting objects:  71% (1171/1649)        
2024-08-22T20:29:08.3089368Z remote: Counting objects:  72% (1188/1649)        
2024-08-22T20:29:08.3090122Z remote: Counting objects:  73% (1204/1649)        
2024-08-22T20:29:08.3090914Z remote: Counting objects:  74% (1221/1649)        
2024-08-22T20:29:08.3091713Z remote: Counting objects:  75% (1237/1649)        
2024-08-22T20:29:08.3092515Z remote: Counting objects:  76% (1254/1649)        
2024-08-22T20:29:08.3093325Z remote: Counting objects:  77% (1270/1649)        
2024-08-22T20:29:08.3094129Z remote: Counting objects:  78% (1287/1649)        
2024-08-22T20:29:08.3094908Z remote: Counting objects:  79% (1303/1649)        
2024-08-22T20:29:08.3095708Z remote: Counting objects:  80% (1320/1649)        
2024-08-22T20:29:08.3096654Z remote: Counting objects:  81% (1336/1649)        
2024-08-22T20:29:08.3097429Z remote: Counting objects:  82% (1353/1649)        
2024-08-22T20:29:08.3098183Z remote: Counting objects:  83% (1369/1649)        
2024-08-22T20:29:08.3098941Z remote: Counting objects:  84% (1386/1649)        
2024-08-22T20:29:08.3099811Z remote: Counting objects:  85% (1402/1649)        
2024-08-22T20:29:08.3100555Z remote: Counting objects:  86% (1419/1649)        
2024-08-22T20:29:08.3101402Z remote: Counting objects:  87% (1435/1649)        
2024-08-22T20:29:08.3102264Z remote: Counting objects:  88% (1452/1649)        
2024-08-22T20:29:08.3103062Z remote: Counting objects:  89% (1468/1649)        
2024-08-22T20:29:08.3103854Z remote: Counting objects:  90% (1485/1649)        
2024-08-22T20:29:08.3104637Z remote: Counting objects:  91% (1501/1649)        
2024-08-22T20:29:08.3105446Z remote: Counting objects:  92% (1518/1649)        
2024-08-22T20:29:08.3106424Z remote: Counting objects:  93% (1534/1649)        
2024-08-22T20:29:08.3107245Z remote: Counting objects:  94% (1551/1649)        
2024-08-22T20:29:08.3108055Z remote: Counting objects:  95% (1567/1649)        
2024-08-22T20:29:08.3108856Z remote: Counting objects:  96% (1584/1649)        
2024-08-22T20:29:08.3109663Z remote: Counting objects:  97% (1600/1649)        
2024-08-22T20:29:08.3110455Z remote: Counting objects:  98% (1617/1649)        
2024-08-22T20:29:08.3111247Z remote: Counting objects:  99% (1633/1649)        
2024-08-22T20:29:08.3112031Z remote: Counting objects: 100% (1649/1649)        
2024-08-22T20:29:08.3112942Z remote: Counting objects: 100% (1649/1649), done.        
2024-08-22T20:29:08.3113807Z remote: Compressing objects:   0% (1/1260)        
2024-08-22T20:29:08.3114627Z remote: Compressing objects:   1% (13/1260)        
2024-08-22T20:29:08.3115457Z remote: Compressing objects:   2% (26/1260)        
2024-08-22T20:29:08.3116274Z remote: Compressing objects:   3% (38/1260)        
2024-08-22T20:29:08.3117103Z remote: Compressing objects:   4% (51/1260)        
2024-08-22T20:29:08.3117931Z remote: Compressing objects:   5% (63/1260)        
2024-08-22T20:29:08.3118741Z remote: Compressing objects:   6% (76/1260)        
2024-08-22T20:29:08.3119571Z remote: Compressing objects:   7% (89/1260)        
2024-08-22T20:29:08.3120346Z remote: Compressing objects:   8% (101/1260)        
2024-08-22T20:29:08.3121132Z remote: Compressing objects:   9% (114/1260)        
2024-08-22T20:29:08.3121921Z remote: Compressing objects:  10% (126/1260)        
2024-08-22T20:29:08.3122798Z remote: Compressing objects:  11% (139/1260)        
2024-08-22T20:29:08.3123582Z remote: Compressing objects:  12% (152/1260)        
2024-08-22T20:29:08.3124347Z remote: Compressing objects:  13% (164/1260)        
2024-08-22T20:29:08.3125152Z remote: Compressing objects:  14% (177/1260)        
2024-08-22T20:29:08.3125957Z remote: Compressing objects:  15% (189/1260)        
2024-08-22T20:29:08.3126767Z remote: Compressing objects:  16% (202/1260)        
2024-08-22T20:29:08.3127569Z remote: Compressing objects:  17% (215/1260)        
2024-08-22T20:29:08.3128405Z remote: Compressing objects:  18% (227/1260)        
2024-08-22T20:29:08.3129203Z remote: Compressing objects:  19% (240/1260)        
2024-08-22T20:29:08.3130028Z remote: Compressing objects:  20% (252/1260)        
2024-08-22T20:29:08.3130835Z remote: Compressing objects:  21% (265/1260)        
2024-08-22T20:29:08.3131641Z remote: Compressing objects:  22% (278/1260)        
2024-08-22T20:29:08.3132525Z remote: Compressing objects:  23% (290/1260)        
2024-08-22T20:29:08.3133353Z remote: Compressing objects:  24% (303/1260)        
2024-08-22T20:29:08.3134177Z remote: Compressing objects:  25% (315/1260)        
2024-08-22T20:29:08.3135018Z remote: Compressing objects:  26% (328/1260)        
2024-08-22T20:29:08.3135852Z remote: Compressing objects:  27% (341/1260)        
2024-08-22T20:29:08.3136698Z remote: Compressing objects:  28% (353/1260)        
2024-08-22T20:29:08.3137545Z remote: Compressing objects:  29% (366/1260)        
2024-08-22T20:29:08.3138537Z remote: Compressing objects:  30% (378/1260)        
2024-08-22T20:29:08.3139449Z remote: Compressing objects:  31% (391/1260)        
2024-08-22T20:29:08.3140220Z remote: Compressing objects:  32% (404/1260)        
2024-08-22T20:29:08.3141023Z remote: Compressing objects:  33% (416/1260)        
2024-08-22T20:29:08.3141799Z remote: Compressing objects:  34% (429/1260)        
2024-08-22T20:29:08.3142629Z remote: Compressing objects:  35% (441/1260)        
2024-08-22T20:29:08.3143431Z remote: Compressing objects:  36% (454/1260)        
2024-08-22T20:29:08.3144225Z remote: Compressing objects:  37% (467/1260)        
2024-08-22T20:29:08.3145011Z remote: Compressing objects:  38% (479/1260)        
2024-08-22T20:29:08.3145832Z remote: Compressing objects:  39% (492/1260)        
2024-08-22T20:29:08.3146620Z remote: Compressing objects:  40% (504/1260)        
2024-08-22T20:29:08.3147584Z remote: Compressing objects:  41% (517/1260)        
2024-08-22T20:29:08.3148410Z remote: Compressing objects:  42% (530/1260)        
2024-08-22T20:29:08.3149237Z remote: Compressing objects:  43% (542/1260)        
2024-08-22T20:29:08.3150011Z remote: Compressing objects:  44% (555/1260)        
2024-08-22T20:29:08.3150802Z remote: Compressing objects:  45% (567/1260)        
2024-08-22T20:29:08.3151598Z remote: Compressing objects:  46% (580/1260)        
2024-08-22T20:29:08.3152410Z remote: Compressing objects:  47% (593/1260)        
2024-08-22T20:29:08.3153218Z remote: Compressing objects:  48% (605/1260)        
2024-08-22T20:29:08.3154000Z remote: Compressing objects:  49% (618/1260)        
2024-08-22T20:29:08.3154831Z remote: Compressing objects:  50% (630/1260)        
2024-08-22T20:29:08.3155633Z remote: Compressing objects:  51% (643/1260)        
2024-08-22T20:29:08.3156414Z remote: Compressing objects:  52% (656/1260)        
2024-08-22T20:29:08.3157918Z remote: Compressing objects:  53% (668/1260)        
2024-08-22T20:29:08.3159054Z remote: Compressing objects:  54% (681/1260)        
2024-08-22T20:29:08.3160067Z remote: Compressing objects:  55% (693/1260)        
2024-08-22T20:29:08.3160876Z remote: Compressing objects:  56% (706/1260)        
2024-08-22T20:29:08.3161657Z remote: Compressing objects:  57% (719/1260)        
2024-08-22T20:29:08.3162467Z remote: Compressing objects:  58% (731/1260)        
2024-08-22T20:29:08.3163270Z remote: Compressing objects:  59% (744/1260)        
2024-08-22T20:29:08.3164074Z remote: Compressing objects:  60% (756/1260)        
2024-08-22T20:29:08.3164893Z remote: Compressing objects:  61% (769/1260)        
2024-08-22T20:29:08.3165716Z remote: Compressing objects:  62% (782/1260)        
2024-08-22T20:29:08.3166471Z remote: Compressing objects:  63% (794/1260)        
2024-08-22T20:29:08.3167268Z remote: Compressing objects:  64% (807/1260)        
2024-08-22T20:29:08.3168050Z remote: Compressing objects:  65% (819/1260)        
2024-08-22T20:29:08.3168855Z remote: Compressing objects:  66% (832/1260)        
2024-08-22T20:29:08.3169653Z remote: Compressing objects:  67% (845/1260)        
2024-08-22T20:29:08.3170456Z remote: Compressing objects:  68% (857/1260)        
2024-08-22T20:29:08.3171224Z remote: Compressing objects:  69% (870/1260)        
2024-08-22T20:29:08.3172038Z remote: Compressing objects:  70% (882/1260)        
2024-08-22T20:29:08.3172891Z remote: Compressing objects:  71% (895/1260)        
2024-08-22T20:29:08.3173686Z remote: Compressing objects:  72% (908/1260)        
2024-08-22T20:29:08.3174456Z remote: Compressing objects:  73% (920/1260)        
2024-08-22T20:29:08.3175252Z remote: Compressing objects:  74% (933/1260)        
2024-08-22T20:29:08.3176038Z remote: Compressing objects:  75% (945/1260)        
2024-08-22T20:29:08.3176836Z remote: Compressing objects:  76% (958/1260)        
2024-08-22T20:29:08.3177627Z remote: Compressing objects:  77% (971/1260)        
2024-08-22T20:29:08.3178414Z remote: Compressing objects:  78% (983/1260)        
2024-08-22T20:29:08.3179316Z remote: Compressing objects:  79% (996/1260)        
2024-08-22T20:29:08.3180322Z remote: Compressing objects:  80% (1008/1260)        
2024-08-22T20:29:08.3181170Z remote: Compressing objects:  81% (1021/1260)        
2024-08-22T20:29:08.3181958Z remote: Compressing objects:  82% (1034/1260)        
2024-08-22T20:29:08.3182840Z remote: Compressing objects:  83% (1046/1260)        
2024-08-22T20:29:08.3183681Z remote: Compressing objects:  84% (1059/1260)        
2024-08-22T20:29:08.3184480Z remote: Compressing objects:  85% (1071/1260)        
2024-08-22T20:29:08.3185327Z remote: Compressing objects:  86% (1084/1260)        
2024-08-22T20:29:08.3186135Z remote: Compressing objects:  87% (1097/1260)        
2024-08-22T20:29:08.3186954Z remote: Compressing objects:  88% (1109/1260)        
2024-08-22T20:29:08.3187754Z remote: Compressing objects:  89% (1122/1260)        
2024-08-22T20:29:08.3189106Z remote: Compressing objects:  90% (1134/1260)        
2024-08-22T20:29:08.3190630Z remote: Compressing objects:  91% (1147/1260)        
2024-08-22T20:29:08.3191447Z remote: Compressing objects:  92% (1160/1260)        
2024-08-22T20:29:08.3192253Z remote: Compressing objects:  93% (1172/1260)        
2024-08-22T20:29:08.3193046Z remote: Compressing objects:  94% (1185/1260)        
2024-08-22T20:29:08.3193855Z remote: Compressing objects:  95% (1197/1260)        
2024-08-22T20:29:08.3194657Z remote: Compressing objects:  96% (1210/1260)        
2024-08-22T20:29:08.3195468Z remote: Compressing objects:  97% (1223/1260)        
2024-08-22T20:29:08.3196305Z remote: Compressing objects:  98% (1235/1260)        
2024-08-22T20:29:08.3197148Z remote: Compressing objects:  99% (1248/1260)        
2024-08-22T20:29:08.3197934Z remote: Compressing objects: 100% (1260/1260)        
2024-08-22T20:29:08.3198803Z remote: Compressing objects: 100% (1260/1260), done.        
2024-08-22T20:29:08.3199578Z Receiving objects:   0% (1/1649)
2024-08-22T20:29:08.3200155Z Receiving objects:   1% (17/1649)
2024-08-22T20:29:08.3200788Z Receiving objects:   2% (33/1649)
2024-08-22T20:29:08.3201386Z Receiving objects:   3% (50/1649)
2024-08-22T20:29:08.3201964Z Receiving objects:   4% (66/1649)
2024-08-22T20:29:08.3202605Z Receiving objects:   5% (83/1649)
2024-08-22T20:29:08.3203223Z Receiving objects:   6% (99/1649)
2024-08-22T20:29:08.3203830Z Receiving objects:   7% (116/1649)
2024-08-22T20:29:08.3204454Z Receiving objects:   8% (132/1649)
2024-08-22T20:29:08.3205078Z Receiving objects:   9% (149/1649)
2024-08-22T20:29:08.3205695Z Receiving objects:  10% (165/1649)
2024-08-22T20:29:08.3206326Z Receiving objects:  11% (182/1649)
2024-08-22T20:29:08.3206950Z Receiving objects:  12% (198/1649)
2024-08-22T20:29:08.3421908Z Receiving objects:  13% (215/1649)
2024-08-22T20:29:08.3502162Z Receiving objects:  14% (231/1649)
2024-08-22T20:29:08.3505637Z Receiving objects:  15% (248/1649)
2024-08-22T20:29:08.3509561Z Receiving objects:  16% (264/1649)
2024-08-22T20:29:08.3514074Z Receiving objects:  17% (281/1649)
2024-08-22T20:29:08.3553035Z Receiving objects:  18% (297/1649)
2024-08-22T20:29:08.3566231Z Receiving objects:  19% (314/1649)
2024-08-22T20:29:08.3567051Z Receiving objects:  20% (330/1649)
2024-08-22T20:29:08.3572368Z Receiving objects:  21% (347/1649)
2024-08-22T20:29:08.3575512Z Receiving objects:  22% (363/1649)
2024-08-22T20:29:08.3579335Z Receiving objects:  23% (380/1649)
2024-08-22T20:29:08.3589980Z Receiving objects:  24% (396/1649)
2024-08-22T20:29:08.3607008Z Receiving objects:  25% (413/1649)
2024-08-22T20:29:08.3609848Z Receiving objects:  26% (429/1649)
2024-08-22T20:29:08.3611409Z Receiving objects:  27% (446/1649)
2024-08-22T20:29:08.3618678Z Receiving objects:  28% (462/1649)
2024-08-22T20:29:08.3621744Z Receiving objects:  29% (479/1649)
2024-08-22T20:29:08.3631463Z Receiving objects:  30% (495/1649)
2024-08-22T20:29:08.3638687Z Receiving objects:  31% (512/1649)
2024-08-22T20:29:08.3645035Z Receiving objects:  32% (528/1649)
2024-08-22T20:29:08.3653860Z Receiving objects:  33% (545/1649)
2024-08-22T20:29:08.3654830Z Receiving objects:  34% (561/1649)
2024-08-22T20:29:08.3657573Z Receiving objects:  35% (578/1649)
2024-08-22T20:29:08.3663689Z Receiving objects:  36% (594/1649)
2024-08-22T20:29:08.3670562Z Receiving objects:  37% (611/1649)
2024-08-22T20:29:08.3673631Z Receiving objects:  38% (627/1649)
2024-08-22T20:29:08.3678145Z Receiving objects:  39% (644/1649)
2024-08-22T20:29:08.3683345Z Receiving objects:  40% (660/1649)
2024-08-22T20:29:08.3688016Z Receiving objects:  41% (677/1649)
2024-08-22T20:29:08.3692917Z Receiving objects:  42% (693/1649)
2024-08-22T20:29:08.3696135Z Receiving objects:  43% (710/1649)
2024-08-22T20:29:08.3698861Z Receiving objects:  44% (726/1649)
2024-08-22T20:29:08.3703091Z Receiving objects:  45% (743/1649)
2024-08-22T20:29:08.3707565Z Receiving objects:  46% (759/1649)
2024-08-22T20:29:08.3710156Z Receiving objects:  47% (776/1649)
2024-08-22T20:29:08.3713565Z Receiving objects:  48% (792/1649)
2024-08-22T20:29:08.3716760Z Receiving objects:  49% (809/1649)
2024-08-22T20:29:08.3721349Z Receiving objects:  50% (825/1649)
2024-08-22T20:29:08.3724423Z Receiving objects:  51% (841/1649)
2024-08-22T20:29:08.3726999Z Receiving objects:  52% (858/1649)
2024-08-22T20:29:08.3732365Z Receiving objects:  53% (874/1649)
2024-08-22T20:29:08.3736571Z Receiving objects:  54% (891/1649)
2024-08-22T20:29:08.3737633Z Receiving objects:  55% (907/1649)
2024-08-22T20:29:08.3740779Z Receiving objects:  56% (924/1649)
2024-08-22T20:29:08.3744398Z Receiving objects:  57% (940/1649)
2024-08-22T20:29:08.3750120Z Receiving objects:  58% (957/1649)
2024-08-22T20:29:08.3758501Z Receiving objects:  59% (973/1649)
2024-08-22T20:29:08.3762658Z Receiving objects:  60% (990/1649)
2024-08-22T20:29:08.3766401Z Receiving objects:  61% (1006/1649)
2024-08-22T20:29:08.3769876Z Receiving objects:  62% (1023/1649)
2024-08-22T20:29:08.3775337Z Receiving objects:  63% (1039/1649)
2024-08-22T20:29:08.3781381Z Receiving objects:  64% (1056/1649)
2024-08-22T20:29:08.3785987Z Receiving objects:  65% (1072/1649)
2024-08-22T20:29:08.3787959Z Receiving objects:  66% (1089/1649)
2024-08-22T20:29:08.3792294Z Receiving objects:  67% (1105/1649)
2024-08-22T20:29:08.3796612Z Receiving objects:  68% (1122/1649)
2024-08-22T20:29:08.3802954Z Receiving objects:  69% (1138/1649)
2024-08-22T20:29:08.3808477Z Receiving objects:  70% (1155/1649)
2024-08-22T20:29:08.3816679Z Receiving objects:  71% (1171/1649)
2024-08-22T20:29:08.3824751Z Receiving objects:  72% (1188/1649)
2024-08-22T20:29:08.3864015Z Receiving objects:  73% (1204/1649)
2024-08-22T20:29:08.3869814Z Receiving objects:  74% (1221/1649)
2024-08-22T20:29:08.3954804Z Receiving objects:  75% (1237/1649)
2024-08-22T20:29:08.3955990Z Receiving objects:  76% (1254/1649)
2024-08-22T20:29:08.3962707Z Receiving objects:  77% (1270/1649)
2024-08-22T20:29:08.3963726Z Receiving objects:  78% (1287/1649)
2024-08-22T20:29:08.3966626Z Receiving objects:  79% (1303/1649)
2024-08-22T20:29:08.3972436Z Receiving objects:  80% (1320/1649)
2024-08-22T20:29:08.3981695Z Receiving objects:  81% (1336/1649)
2024-08-22T20:29:08.4029569Z Receiving objects:  82% (1353/1649)
2024-08-22T20:29:08.4031569Z Receiving objects:  83% (1369/1649)
2024-08-22T20:29:08.4034763Z Receiving objects:  84% (1386/1649)
2024-08-22T20:29:08.4037218Z Receiving objects:  85% (1402/1649)
2024-08-22T20:29:08.4037784Z Receiving objects:  86% (1419/1649)
2024-08-22T20:29:08.4038195Z Receiving objects:  87% (1435/1649)
2024-08-22T20:29:08.4039956Z Receiving objects:  88% (1452/1649)
2024-08-22T20:29:08.4042527Z Receiving objects:  89% (1468/1649)
2024-08-22T20:29:08.4045099Z Receiving objects:  90% (1485/1649)
2024-08-22T20:29:08.4046147Z Receiving objects:  91% (1501/1649)
2024-08-22T20:29:08.4046617Z Receiving objects:  92% (1518/1649)
2024-08-22T20:29:08.4047810Z Receiving objects:  93% (1534/1649)
2024-08-22T20:29:08.4050851Z Receiving objects:  94% (1551/1649)
2024-08-22T20:29:08.4051660Z Receiving objects:  95% (1567/1649)
2024-08-22T20:29:08.4058570Z Receiving objects:  96% (1584/1649)
2024-08-22T20:29:08.4071365Z Receiving objects:  97% (1600/1649)
2024-08-22T20:29:08.4082614Z Receiving objects:  98% (1617/1649)
2024-08-22T20:29:08.4103451Z Receiving objects:  99% (1633/1649)
2024-08-22T20:29:08.4104368Z remote: Total 1649 (delta 371), reused 1069 (delta 267), pack-reused 0 (from 0)        
2024-08-22T20:29:08.4118886Z Receiving objects: 100% (1649/1649)
2024-08-22T20:29:08.4119434Z Receiving objects: 100% (1649/1649), 2.83 MiB | 27.10 MiB/s, done.
2024-08-22T20:29:08.4126772Z Resolving deltas:   0% (0/371)
2024-08-22T20:29:08.4128687Z Resolving deltas:   1% (4/371)
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2024-08-22T20:29:08.4142122Z Resolving deltas:  13% (49/371)
2024-08-22T20:29:08.4144473Z Resolving deltas:  14% (52/371)
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2024-08-22T20:29:08.4148653Z Resolving deltas:  16% (60/371)
2024-08-22T20:29:08.4159293Z Resolving deltas:  17% (65/371)
2024-08-22T20:29:08.4163503Z Resolving deltas:  18% (67/371)
2024-08-22T20:29:08.4164036Z Resolving deltas:  19% (71/371)
2024-08-22T20:29:08.4164753Z Resolving deltas:  20% (75/371)
2024-08-22T20:29:08.4165238Z Resolving deltas:  21% (78/371)
2024-08-22T20:29:08.4166141Z Resolving deltas:  22% (82/371)
2024-08-22T20:29:08.4167156Z Resolving deltas:  23% (86/371)
2024-08-22T20:29:08.4167688Z Resolving deltas:  24% (90/371)
2024-08-22T20:29:08.4186708Z Resolving deltas:  25% (93/371)
2024-08-22T20:29:08.4187308Z Resolving deltas:  26% (97/371)
2024-08-22T20:29:08.4187863Z Resolving deltas:  27% (101/371)
2024-08-22T20:29:08.4188368Z Resolving deltas:  28% (104/371)
2024-08-22T20:29:08.4188814Z Resolving deltas:  29% (109/371)
2024-08-22T20:29:08.4189191Z Resolving deltas:  30% (112/371)
2024-08-22T20:29:08.4189613Z Resolving deltas:  31% (116/371)
2024-08-22T20:29:08.4190041Z Resolving deltas:  32% (119/371)
2024-08-22T20:29:08.4190415Z Resolving deltas:  33% (123/371)
2024-08-22T20:29:08.4190779Z Resolving deltas:  34% (127/371)
2024-08-22T20:29:08.4191244Z Resolving deltas:  35% (131/371)
2024-08-22T20:29:08.4191660Z Resolving deltas:  36% (134/371)
2024-08-22T20:29:08.4192177Z Resolving deltas:  37% (138/371)
2024-08-22T20:29:08.4192665Z Resolving deltas:  38% (141/371)
2024-08-22T20:29:08.4193043Z Resolving deltas:  39% (145/371)
2024-08-22T20:29:08.4193447Z Resolving deltas:  40% (150/371)
2024-08-22T20:29:08.4193840Z Resolving deltas:  41% (153/371)
2024-08-22T20:29:08.4194255Z Resolving deltas:  42% (156/371)
2024-08-22T20:29:08.4194719Z Resolving deltas:  43% (160/371)
2024-08-22T20:29:08.4195112Z Resolving deltas:  44% (164/371)
2024-08-22T20:29:08.4195884Z Resolving deltas:  45% (167/371)
2024-08-22T20:29:08.4196413Z Resolving deltas:  46% (171/371)
2024-08-22T20:29:08.4196966Z Resolving deltas:  47% (175/371)
2024-08-22T20:29:08.4197756Z Resolving deltas:  48% (180/371)
2024-08-22T20:29:08.4198398Z Resolving deltas:  49% (183/371)
2024-08-22T20:29:08.4198978Z Resolving deltas:  50% (186/371)
2024-08-22T20:29:08.4200035Z Resolving deltas:  51% (190/371)
2024-08-22T20:29:08.4200537Z Resolving deltas:  52% (193/371)
2024-08-22T20:29:08.4202699Z Resolving deltas:  53% (197/371)
2024-08-22T20:29:08.4203216Z Resolving deltas:  54% (201/371)
2024-08-22T20:29:08.4203644Z Resolving deltas:  55% (205/371)
2024-08-22T20:29:08.4204168Z Resolving deltas:  56% (208/371)
2024-08-22T20:29:08.4206281Z Resolving deltas:  57% (212/371)
2024-08-22T20:29:08.4208444Z Resolving deltas:  58% (217/371)
2024-08-22T20:29:08.4209682Z Resolving deltas:  59% (219/371)
2024-08-22T20:29:08.4210478Z Resolving deltas:  60% (223/371)
2024-08-22T20:29:08.4212566Z Resolving deltas:  61% (227/371)
2024-08-22T20:29:08.4213008Z Resolving deltas:  62% (232/371)
2024-08-22T20:29:08.4215470Z Resolving deltas:  63% (234/371)
2024-08-22T20:29:08.4215999Z Resolving deltas:  64% (239/371)
2024-08-22T20:29:08.4218109Z Resolving deltas:  65% (242/371)
2024-08-22T20:29:08.4218800Z Resolving deltas:  66% (246/371)
2024-08-22T20:29:08.4219452Z Resolving deltas:  67% (249/371)
2024-08-22T20:29:08.4219905Z Resolving deltas:  68% (253/371)
2024-08-22T20:29:08.4220408Z Resolving deltas:  69% (256/371)
2024-08-22T20:29:08.4220852Z Resolving deltas:  70% (260/371)
2024-08-22T20:29:08.4221287Z Resolving deltas:  71% (264/371)
2024-08-22T20:29:08.4221725Z Resolving deltas:  72% (270/371)
2024-08-22T20:29:08.4222158Z Resolving deltas:  73% (271/371)
2024-08-22T20:29:08.4222597Z Resolving deltas:  74% (276/371)
2024-08-22T20:29:08.4223058Z Resolving deltas:  75% (280/371)
2024-08-22T20:29:08.4223694Z Resolving deltas:  76% (283/371)
2024-08-22T20:29:08.4224225Z Resolving deltas:  77% (286/371)
2024-08-22T20:29:08.4224608Z Resolving deltas:  78% (290/371)
2024-08-22T20:29:08.4225035Z Resolving deltas:  79% (294/371)
2024-08-22T20:29:08.4225431Z Resolving deltas:  80% (297/371)
2024-08-22T20:29:08.4225925Z Resolving deltas:  81% (301/371)
2024-08-22T20:29:08.4226351Z Resolving deltas:  82% (305/371)
2024-08-22T20:29:08.4226780Z Resolving deltas:  83% (308/371)
2024-08-22T20:29:08.4227155Z Resolving deltas:  84% (312/371)
2024-08-22T20:29:08.4227603Z Resolving deltas:  85% (316/371)
2024-08-22T20:29:08.4228106Z Resolving deltas:  86% (320/371)
2024-08-22T20:29:08.4228504Z Resolving deltas:  87% (323/371)
2024-08-22T20:29:08.4228936Z Resolving deltas:  88% (327/371)
2024-08-22T20:29:08.4229306Z Resolving deltas:  89% (331/371)
2024-08-22T20:29:08.4229680Z Resolving deltas:  90% (334/371)
2024-08-22T20:29:08.4230170Z Resolving deltas:  91% (339/371)
2024-08-22T20:29:08.4230646Z Resolving deltas:  92% (342/371)
2024-08-22T20:29:08.4231027Z Resolving deltas:  93% (346/371)
2024-08-22T20:29:08.4232934Z Resolving deltas:  94% (349/371)
2024-08-22T20:29:08.4234620Z Resolving deltas:  95% (353/371)
2024-08-22T20:29:08.4237181Z Resolving deltas:  96% (357/371)
2024-08-22T20:29:08.4239154Z Resolving deltas:  97% (360/371)
2024-08-22T20:29:08.4239575Z Resolving deltas:  98% (366/371)
2024-08-22T20:29:08.4242509Z Resolving deltas:  99% (368/371)
2024-08-22T20:29:08.4243568Z Resolving deltas: 100% (371/371)
2024-08-22T20:29:08.4243986Z Resolving deltas: 100% (371/371), done.
2024-08-22T20:29:08.4638343Z From https://github.com/pytorch/test-infra
2024-08-22T20:29:08.4638927Z  * [new branch]      main       -> origin/main
2024-08-22T20:29:08.4664830Z ##[endgroup]
2024-08-22T20:29:08.4665363Z ##[group]Determining the checkout info
2024-08-22T20:29:08.4666888Z ##[endgroup]
2024-08-22T20:29:08.4667400Z ##[group]Checking out the ref
2024-08-22T20:29:08.4671041Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main
2024-08-22T20:29:08.5834137Z Switched to a new branch 'main'
2024-08-22T20:29:08.5834655Z branch 'main' set up to track 'origin/main'.
2024-08-22T20:29:08.5844996Z ##[endgroup]
2024-08-22T20:29:08.5845562Z ##[group]Setting up auth for fetching submodules
2024-08-22T20:29:08.5850184Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2024-08-22T20:29:08.5910869Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2024-08-22T20:29:08.5953709Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2024-08-22T20:29:08.5997408Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2024-08-22T20:29:08.6037335Z ##[endgroup]
2024-08-22T20:29:08.6037859Z ##[group]Fetching submodules
2024-08-22T20:29:08.6040414Z [command]/usr/bin/git submodule sync --recursive
2024-08-22T20:29:08.6391701Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive
2024-08-22T20:29:08.6757189Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2024-08-22T20:29:08.7104461Z ##[endgroup]
2024-08-22T20:29:08.7105240Z ##[group]Persisting credentials for submodules
2024-08-22T20:29:08.7109914Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
2024-08-22T20:29:08.7462101Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2024-08-22T20:29:08.7813675Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2024-08-22T20:29:08.8172084Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2024-08-22T20:29:08.8520426Z ##[endgroup]
2024-08-22T20:29:08.8570604Z [command]/usr/bin/git log -1 --format='%H'
2024-08-22T20:29:08.8607938Z '6dab351bed7d1c647665a8b8e883ec5b1c973feb'
2024-08-22T20:29:08.8908000Z Prepare all required actions
2024-08-22T20:29:08.8908493Z Getting action download info
2024-08-22T20:29:09.0212680Z Download action repository 'pytorch/test-infra@main' (SHA:6dab351bed7d1c647665a8b8e883ec5b1c973feb)
2024-08-22T20:29:09.4427844Z Getting action download info
2024-08-22T20:29:09.5652558Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2024-08-22T20:29:09.7743186Z ##[group]Run ./test-infra/.github/actions/setup-linux
2024-08-22T20:29:09.7743702Z env:
2024-08-22T20:29:09.7744175Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:09.7744738Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:29:09.7745186Z   PR_NUMBER: 1044
2024-08-22T20:29:09.7750427Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:29:09.7756055Z ##[endgroup]
2024-08-22T20:29:09.7954477Z ##[group]Run set -euo pipefail
2024-08-22T20:29:09.7954971Z set -euo pipefail
2024-08-22T20:29:09.7955472Z function get_ec2_metadata() {
2024-08-22T20:29:09.7956103Z   # Pulled from instance metadata endpoint for EC2
2024-08-22T20:29:09.7957063Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2024-08-22T20:29:09.7957936Z   category=$1
2024-08-22T20:29:09.7958556Z   curl -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2024-08-22T20:29:09.7959200Z }
2024-08-22T20:29:09.7959676Z echo "ami-id: $(get_ec2_metadata ami-id)"
2024-08-22T20:29:09.7960704Z echo "instance-id: $(get_ec2_metadata instance-id)"
2024-08-22T20:29:09.7961431Z echo "instance-type: $(get_ec2_metadata instance-type)"
2024-08-22T20:29:09.7962173Z echo "system info $(uname -a)"
2024-08-22T20:29:09.7971589Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:29:09.7972231Z env:
2024-08-22T20:29:09.7972668Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:09.7973181Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:29:09.7973699Z   PR_NUMBER: 1044
2024-08-22T20:29:09.7979053Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:29:09.7984785Z ##[endgroup]
2024-08-22T20:29:09.8082756Z ami-id: ami-06c68f701d8090592
2024-08-22T20:29:09.8141384Z instance-id: i-0a2c28cdd0744cb4e
2024-08-22T20:29:09.8203807Z instance-type: g5.4xlarge
2024-08-22T20:29:09.8216985Z system info Linux ip-10-0-27-213.ec2.internal 6.1.94-99.176.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 18 14:57:56 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
2024-08-22T20:29:09.8528555Z ##[group]Run if systemctl is-active --quiet docker; then
2024-08-22T20:29:09.8529153Z if systemctl is-active --quiet docker; then
2024-08-22T20:29:09.8529693Z     echo "Docker daemon is running...";
2024-08-22T20:29:09.8530131Z else
2024-08-22T20:29:09.8530613Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2024-08-22T20:29:09.8531192Z fi
2024-08-22T20:29:09.8540227Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:29:09.8540723Z env:
2024-08-22T20:29:09.8541059Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:09.8541548Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:29:09.8541942Z   PR_NUMBER: 1044
2024-08-22T20:29:09.8547795Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:29:09.8553140Z ##[endgroup]
2024-08-22T20:29:09.8644058Z Docker daemon is running...
2024-08-22T20:29:09.8671170Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2024-08-22T20:29:09.8672032Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2024-08-22T20:29:09.8672765Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2024-08-22T20:29:09.8673622Z retry aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
2024-08-22T20:29:09.8674578Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2024-08-22T20:29:09.8683273Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:29:09.8683765Z env:
2024-08-22T20:29:09.8684081Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:09.8684537Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:29:09.8684909Z   PR_NUMBER: 1044
2024-08-22T20:29:09.8690089Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:29:09.8695602Z   AWS_RETRY_MODE: standard
2024-08-22T20:29:09.8695962Z   AWS_MAX_ATTEMPTS: 5
2024-08-22T20:29:09.8696298Z   AWS_DEFAULT_REGION: us-east-1
2024-08-22T20:29:09.8696669Z ##[endgroup]
2024-08-22T20:29:10.9540920Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2024-08-22T20:29:10.9541772Z Configure a credential helper to remove this warning. See
2024-08-22T20:29:10.9542784Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2024-08-22T20:29:10.9543295Z 
2024-08-22T20:29:10.9543657Z Login Succeeded
2024-08-22T20:29:10.9600676Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2024-08-22T20:29:10.9601445Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2024-08-22T20:29:10.9602148Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2024-08-22T20:29:10.9611209Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:29:10.9611693Z env:
2024-08-22T20:29:10.9612018Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:10.9612474Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:29:10.9612843Z   PR_NUMBER: 1044
2024-08-22T20:29:10.9617825Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:29:10.9623278Z ##[endgroup]
2024-08-22T20:29:10.9722061Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2024-08-22T20:29:10.9722696Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2024-08-22T20:29:10.9723219Z sudo rm -rf "${RUNNER_ARTIFACT_DIR}"
2024-08-22T20:29:10.9723692Z mkdir -p "${RUNNER_ARTIFACT_DIR}"
2024-08-22T20:29:10.9724313Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}"
2024-08-22T20:29:10.9724867Z 
2024-08-22T20:29:10.9725263Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results"
2024-08-22T20:29:10.9725827Z sudo rm -rf "${RUNNER_TEST_RESULTS_DIR}"
2024-08-22T20:29:10.9726323Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}"
2024-08-22T20:29:10.9726964Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}"
2024-08-22T20:29:10.9727552Z 
2024-08-22T20:29:10.9727875Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs"
2024-08-22T20:29:10.9728342Z sudo rm -rf "${RUNNER_DOCS_DIR}"
2024-08-22T20:29:10.9728783Z mkdir -p "${RUNNER_DOCS_DIR}"
2024-08-22T20:29:10.9729504Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}"
2024-08-22T20:29:10.9738504Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:29:10.9739086Z env:
2024-08-22T20:29:10.9739566Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:10.9740027Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:29:10.9740396Z   PR_NUMBER: 1044
2024-08-22T20:29:10.9745367Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:29:10.9750702Z ##[endgroup]
2024-08-22T20:29:11.1617349Z ##[group]Run needs=0
2024-08-22T20:29:11.1617680Z needs=0
2024-08-22T20:29:11.1618456Z if lspci -v | grep -e 'controller.*NVIDIA' >/dev/null 2>/dev/null; then
2024-08-22T20:29:11.1619194Z   needs=1
2024-08-22T20:29:11.1619496Z fi
2024-08-22T20:29:11.1619840Z echo "does=${needs}" >> $GITHUB_OUTPUT
2024-08-22T20:29:11.1629013Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:29:11.1629512Z env:
2024-08-22T20:29:11.1629834Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:11.1630286Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:29:11.1630657Z   PR_NUMBER: 1044
2024-08-22T20:29:11.1635636Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:29:11.1641138Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:29:11.1641897Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:29:11.1642621Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:29:11.1643171Z ##[endgroup]
2024-08-22T20:29:11.2017412Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2024-08-22T20:29:11.2017937Z with:
2024-08-22T20:29:11.2018214Z   driver-version: 550.54.15
2024-08-22T20:29:11.2018550Z env:
2024-08-22T20:29:11.2018860Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:11.2019392Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:29:11.2019762Z   PR_NUMBER: 1044
2024-08-22T20:29:11.2025064Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:29:11.2030585Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:29:11.2031349Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:29:11.2032068Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:29:11.2032578Z ##[endgroup]
2024-08-22T20:29:11.2092237Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482
2024-08-22T20:29:11.2092776Z with:
2024-08-22T20:29:11.2093041Z   timeout_minutes: 10
2024-08-22T20:29:11.2093355Z   max_attempts: 3
2024-08-22T20:29:11.2125112Z   command: # Is it disgusting to have a full shell script here in this github action? Sure
# But is it the best way to make it so that this action relies on nothing else? Absolutely
set -eou pipefail

DISTRIBUTION=$(. /etc/os-release;echo $ID$VERSION_ID)
DRIVER_FN="NVIDIA-Linux-x86_64-${DRIVER_VERSION}.run"

install_nvidia_docker2_amzn2() {
    (
        set -x
        # Needed for yum-config-manager
        sudo yum install -y yum-utils
        if [[ "${DISTRIBUTION}" == "amzn2023" ]] ; then
          YUM_REPO_URL="https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo"
        else
          # Amazon Linux 2
          YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo"
        fi

        sudo yum-config-manager --add-repo "${YUM_REPO_URL}"
        sudo yum install -y nvidia-docker2
        sudo systemctl restart docker
    )
}

install_nvidia_docker2_ubuntu20() {
    (
        set -x
        # Install nvidia-driver package if not installed
        status="$(dpkg-query -W --showformat='${db:Status-Status}' nvidia-docker2 2>&1)"
        if [ ! $? = 0 ] || [ ! "$status" = installed ]; then
          sudo apt-get install -y nvidia-docker2
          sudo systemctl restart docker
        fi
    )
}

pre_install_nvidia_driver_amzn2() {
    (
        # Purge any nvidia driver installed from RHEL repo
        sudo yum remove -y nvidia-driver-latest-dkms
    )
}

install_nvidia_driver_common() {
    (
        # Try to gather more information about the runner and its existing NVIDIA driver if any
        echo "Before installing NVIDIA driver"
        lspci
        lsmod
        modinfo nvidia || true

        HAS_NVIDIA_DRIVER=0
        # Check if NVIDIA driver has already been installed
        if [ -x "$(command -v nvidia-smi)" ]; then
            set +e
            # The driver exists, check its version next. Also check only the first GPU if there are more than one of them
            # so that the same driver version is not print over multiple lines
            INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0)
            NVIDIA_SMI_STATUS=$?

            if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
                echo "Failed to get NVIDIA driver version ($INSTALLED_DRIVER_VERSION). Continuing"
            elif [ "$INSTALLED_DRIVER_VERSION" != "$DRIVER_VERSION" ]; then
                echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has been installed, but we expect to have $DRIVER_VERSION instead. Continuing"
            else
                HAS_NVIDIA_DRIVER=1
                echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has already been installed. Skipping NVIDIA driver installation"
            fi
            set -e
        fi

        if [ "$HAS_NVIDIA_DRIVER" -eq 0 ]; then
            # CAUTION: this may need to be updated in future
            if [ "${DISTRIBUTION}" != ubuntu20.04 ]; then
                  sudo yum groupinstall -y "Development Tools"
                  # ensure our kernel install is the same as our underlying kernel,
                  # groupinstall "Development Tools" has a habit of mismatching kernel headers
                  sudo yum install -y "kernel-devel-uname-r == $(uname -r)"
                  sudo modprobe backlight
            fi
            sudo curl -fsL -o /tmp/nvidia_driver "https://s3.amazonaws.com/ossci-linux/nvidia_driver/$DRIVER_FN"

            set +e
            sudo /bin/bash /tmp/nvidia_driver -s --no-drm
            NVIDIA_INSTALLATION_STATUS=$?

            RESET_GPU=0
            if [ "$NVIDIA_INSTALLATION_STATUS" -ne 0 ]; then
                sudo cat /var/log/nvidia-installer.log
                # Fail to install NVIDIA driver, try to reset the GPU
                RESET_GPU=1
            elif [ -x "$(command -v nvidia-smi)" ]; then
                # Check again if nvidia-smi works even if the driver installation completes successfully
                INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0)
                NVIDIA_SMI_STATUS=$?

                if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
                    RESET_GPU=1
                fi
            fi

            if [ "$RESET_GPU" -eq 1 ]; then
                NVIDIA_DEVICES=$(lspci -D | grep -i NVIDIA | cut -d' ' -f1)
                # The GPU can get stuck in a failure state if somehow the test crashs the GPU microcode. When this
                # happens, we'll try to reset all NVIDIA devices https://github.com/pytorch/pytorch/issues/88388
                for PCI_ID in $NVIDIA_DEVICES; do
                    DEVICE_ENABLED=$(cat /sys/bus/pci/devices/$PCI_ID/enable)

                    echo "Reseting $PCI_ID (enabled state: $DEVICE_ENABLED)"
                    # This requires sudo permission of course
                    echo "1" | sudo tee /sys/bus/pci/devices/$PCI_ID/reset
                    sleep 1
                done
            fi

            sudo rm -fv /tmp/nvidia_driver
            set -e
        fi
    )
}

post_install_nvidia_driver_common() {
    (
        sudo modprobe nvidia || true
        echo "After installing NVIDIA driver"
        lspci
        lsmod
        modinfo nvidia || true

        (
            set +e

            nvidia-smi
            # NB: Annoyingly, nvidia-smi command returns successfully with return code 0 even in
            # the case where the driver has already crashed as it still can get the driver version
            # and some basic information like the bus ID.  However, the rest of the information
            # would be missing (ERR!), for example:
            #
            # +-----------------------------------------------------------------------------+
            # | NVIDIA-SMI 525.89.02    Driver Version: 525.89.02    CUDA Version: 12.0     |
            # |-------------------------------+----------------------+----------------------+
            # | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
            # | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
            # |                               |                      |               MIG M. |
            # |===============================+======================+======================|
            # |   0  ERR!                Off  | 00000000:00:1E.0 Off |                 ERR! |
            # |ERR!  ERR! ERR!    ERR! / ERR! |   4184MiB / 23028MiB |    ERR!      Default |
            # |                               |                      |                 ERR! |
            # +-------------------------------+----------------------+----------------------+
            #
            # +-----------------------------------------------------------------------------+
            # | Processes:                                                                  |
            # |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
            # |        ID   ID                                                   Usage      |
            # |=============================================================================|
            # +-----------------------------------------------------------------------------+
            #
            # This should be reported as a failure instead as it will guarantee to fail when
            # Docker tries to run with --gpus all
            #
            # So, the correct check here is to query one of the missing piece of info like
            # GPU name, so that the command can fail accordingly
            nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
            NVIDIA_SMI_STATUS=$?

            # Allowable exit statuses for nvidia-smi, see: https://github.com/NVIDIA/gpu-operator/issues/285
            if [ "$NVIDIA_SMI_STATUS" -eq 0 ] || [ "$NVIDIA_SMI_STATUS" -eq 14 ]; then
                echo "INFO: Ignoring allowed status ${NVIDIA_SMI_STATUS}"
            else
                echo "ERROR: nvidia-smi exited with unresolved status ${NVIDIA_SMI_STATUS}"
                exit ${NVIDIA_SMI_STATUS}
            fi
            set -e
        )
    )
}

install_nvidia_driver_amzn2() {
    (
        set -x
        pre_install_nvidia_driver_amzn2
        install_nvidia_driver_common
        post_install_nvidia_driver_common
    )
}

install_nvidia_driver_ubuntu20() {
    (
        set -x
        install_nvidia_driver_common
        post_install_nvidia_driver_common
    )
}

echo "== Installing nvidia driver ${DRIVER_FN} =="
case "${DISTRIBUTION}" in
    amzn*)
        install_nvidia_driver_amzn2
        ;;
    ubuntu20.04)
        install_nvidia_driver_ubuntu20
        ;;
    *)
        echo "ERROR: Unknown distribution ${DISTRIBUTION}"
        exit 1
        ;;
esac

# Install container toolkit based on distribution
echo "== Installing nvidia container toolkit for ${DISTRIBUTION} =="
case "${DISTRIBUTION}" in
    amzn*)
        install_nvidia_docker2_amzn2
        ;;
    ubuntu20.04)
        install_nvidia_docker2_ubuntu20
        ;;
    *)
        echo "ERROR: Unknown distribution ${DISTRIBUTION}"
        exit 1
        ;;
esac
echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}"

# Fix https://github.com/NVIDIA/nvidia-docker/issues/1648 on runners with
# more than one GPUs. This just needs to be run once. The command fails
# on subsequent runs and complains that the mode is already on, but that's
# ok
sudo nvidia-persistenced || true
# This should show persistence mode ON
nvidia-smi

2024-08-22T20:29:11.2157208Z   retry_wait_seconds: 10
2024-08-22T20:29:11.2157558Z   polling_interval_seconds: 1
2024-08-22T20:29:11.2157912Z   warning_on_retry: true
2024-08-22T20:29:11.2158252Z   continue_on_error: false
2024-08-22T20:29:11.2158584Z env:
2024-08-22T20:29:11.2158891Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:11.2159336Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:29:11.2159700Z   PR_NUMBER: 1044
2024-08-22T20:29:11.2165367Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:29:11.2171115Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:29:11.2171863Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:29:11.2172581Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:29:11.2173100Z   DRIVER_VERSION: 550.54.15
2024-08-22T20:29:11.2173440Z ##[endgroup]
2024-08-22T20:29:11.3092918Z == Installing nvidia driver NVIDIA-Linux-x86_64-550.54.15.run ==
2024-08-22T20:29:11.3093648Z + pre_install_nvidia_driver_amzn2
2024-08-22T20:29:11.3095729Z + sudo yum remove -y nvidia-driver-latest-dkms
2024-08-22T20:29:11.5531516Z No match for argument: nvidia-driver-latest-dkms
2024-08-22T20:29:11.5532884Z No packages marked for removal.
2024-08-22T20:29:11.5594959Z Dependencies resolved.
2024-08-22T20:29:11.5605431Z Nothing to do.
2024-08-22T20:29:11.5605829Z Complete!
2024-08-22T20:29:11.5921498Z + install_nvidia_driver_common
2024-08-22T20:29:11.5924277Z + echo 'Before installing NVIDIA driver'
2024-08-22T20:29:11.5924842Z Before installing NVIDIA driver
2024-08-22T20:29:11.5925637Z + lspci
2024-08-22T20:29:11.6036764Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2024-08-22T20:29:11.6037658Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2024-08-22T20:29:11.6038884Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2024-08-22T20:29:11.6039915Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2024-08-22T20:29:11.6040990Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2024-08-22T20:29:11.6041951Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2024-08-22T20:29:11.6042688Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1)
2024-08-22T20:29:11.6043556Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2024-08-22T20:29:11.6044136Z + lsmod
2024-08-22T20:29:11.6081757Z Module                  Size  Used by
2024-08-22T20:29:11.6082236Z xt_conntrack           16384  1
2024-08-22T20:29:11.6082729Z nft_chain_nat          16384  3
2024-08-22T20:29:11.6083213Z xt_MASQUERADE          20480  1
2024-08-22T20:29:11.6083727Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2024-08-22T20:29:11.6084390Z nf_conntrack_netlink    57344  0
2024-08-22T20:29:11.6085106Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2024-08-22T20:29:11.6085747Z nf_defrag_ipv6         24576  1 nf_conntrack
2024-08-22T20:29:11.6086202Z nf_defrag_ipv4         16384  1 nf_conntrack
2024-08-22T20:29:11.6086619Z xfrm_user              57344  1
2024-08-22T20:29:11.6087004Z xfrm_algo              16384  1 xfrm_user
2024-08-22T20:29:11.6087421Z xt_addrtype            16384  2
2024-08-22T20:29:11.6087784Z nft_compat             20480  4
2024-08-22T20:29:11.6088229Z nf_tables             307200  57 nft_compat,nft_chain_nat
2024-08-22T20:29:11.6088827Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2024-08-22T20:29:11.6089350Z br_netfilter           36864  0
2024-08-22T20:29:11.6089750Z bridge                307200  1 br_netfilter
2024-08-22T20:29:11.6090179Z stp                    16384  1 bridge
2024-08-22T20:29:11.6090583Z llc                    16384  2 bridge,stp
2024-08-22T20:29:11.6090997Z overlay               167936  0
2024-08-22T20:29:11.6091356Z tls                   114688  0
2024-08-22T20:29:11.6091931Z nls_ascii              16384  1
2024-08-22T20:29:11.6092289Z nls_cp437              20480  1
2024-08-22T20:29:11.6092649Z vfat                   24576  1
2024-08-22T20:29:11.6093005Z fat                    86016  1 vfat
2024-08-22T20:29:11.6093420Z sunrpc                692224  1
2024-08-22T20:29:11.6093961Z ena                   167936  0
2024-08-22T20:29:11.6094319Z ptp                    36864  1 ena
2024-08-22T20:29:11.6094709Z pps_core               24576  1 ptp
2024-08-22T20:29:11.6095101Z ghash_clmulni_intel    16384  0
2024-08-22T20:29:11.6095466Z aesni_intel           393216  0
2024-08-22T20:29:11.6095825Z i8042                  45056  0
2024-08-22T20:29:11.6096190Z serio                  28672  3 i8042
2024-08-22T20:29:11.6096598Z crypto_simd            16384  1 aesni_intel
2024-08-22T20:29:11.6097108Z cryptd                 28672  2 crypto_simd,ghash_clmulni_intel
2024-08-22T20:29:11.6097595Z button                 24576  0
2024-08-22T20:29:11.6097962Z sch_fq_codel           20480  17
2024-08-22T20:29:11.6098333Z dm_mod                188416  0
2024-08-22T20:29:11.6098690Z fuse                  163840  1
2024-08-22T20:29:11.6099163Z configfs               57344  1
2024-08-22T20:29:11.6099526Z dax                    45056  1 dm_mod
2024-08-22T20:29:11.6099908Z loop                   36864  0
2024-08-22T20:29:11.6100269Z dmi_sysfs              20480  0
2024-08-22T20:29:11.6100621Z crc32_pclmul           16384  0
2024-08-22T20:29:11.6101095Z crc32c_intel           24576  0
2024-08-22T20:29:11.6101535Z efivarfs               24576  1
2024-08-22T20:29:11.6102002Z + modinfo nvidia
2024-08-22T20:29:11.6102875Z filename:       /lib/modules/6.1.94-99.176.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2024-08-22T20:29:11.6103827Z alias:          char-major-195-*
2024-08-22T20:29:11.6104205Z version:        550.54.15
2024-08-22T20:29:11.6104548Z supported:      external
2024-08-22T20:29:11.6104884Z license:        NVIDIA
2024-08-22T20:29:11.6105249Z firmware:       nvidia/550.54.15/gsp_tu10x.bin
2024-08-22T20:29:11.6105738Z firmware:       nvidia/550.54.15/gsp_ga10x.bin
2024-08-22T20:29:11.6106190Z srcversion:     833721318DA517F0C2FEC97
2024-08-22T20:29:11.6106644Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2024-08-22T20:29:11.6107136Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2024-08-22T20:29:11.6107620Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2024-08-22T20:29:11.6108108Z depends:        i2c-core,drm
2024-08-22T20:29:11.6108467Z retpoline:      Y
2024-08-22T20:29:11.6108767Z name:           nvidia
2024-08-22T20:29:11.6109366Z vermagic:       6.1.94-99.176.amzn2023.x86_64 SMP preempt mod_unload modversions 
2024-08-22T20:29:11.6110052Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2024-08-22T20:29:11.6110691Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2024-08-22T20:29:11.6111272Z parm:           NVreg_ResmanDebugLevel:int
2024-08-22T20:29:11.6111711Z parm:           NVreg_RmLogonRC:int
2024-08-22T20:29:11.6112136Z parm:           NVreg_ModifyDeviceFiles:int
2024-08-22T20:29:11.6112586Z parm:           NVreg_DeviceFileUID:int
2024-08-22T20:29:11.6113052Z parm:           NVreg_DeviceFileGID:int
2024-08-22T20:29:11.6113507Z parm:           NVreg_DeviceFileMode:int
2024-08-22T20:29:11.6114034Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2024-08-22T20:29:11.6114585Z parm:           NVreg_UsePageAttributeTable:int
2024-08-22T20:29:11.6115063Z parm:           NVreg_EnablePCIeGen3:int
2024-08-22T20:29:11.6115493Z parm:           NVreg_EnableMSI:int
2024-08-22T20:29:11.6115898Z parm:           NVreg_TCEBypassMode:int
2024-08-22T20:29:11.6116350Z parm:           NVreg_EnableStreamMemOPs:int
2024-08-22T20:29:11.6116875Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2024-08-22T20:29:11.6117442Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2024-08-22T20:29:11.6117995Z parm:           NVreg_EnableS0ixPowerManagement:int
2024-08-22T20:29:11.6118597Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2024-08-22T20:29:11.6119297Z parm:           NVreg_DynamicPowerManagement:int
2024-08-22T20:29:11.6119898Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2024-08-22T20:29:11.6120480Z parm:           NVreg_EnableGpuFirmware:int
2024-08-22T20:29:11.6121052Z parm:           NVreg_EnableGpuFirmwareLogs:int
2024-08-22T20:29:11.6121580Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2024-08-22T20:29:11.6122121Z parm:           NVreg_EnableUserNUMAManagement:int
2024-08-22T20:29:11.6122605Z parm:           NVreg_MemoryPoolSize:int
2024-08-22T20:29:11.6123102Z parm:           NVreg_KMallocHeapMaxSize:int
2024-08-22T20:29:11.6123597Z parm:           NVreg_VMallocHeapMaxSize:int
2024-08-22T20:29:11.6124052Z parm:           NVreg_IgnoreMMIOCheck:int
2024-08-22T20:29:11.6124493Z parm:           NVreg_NvLinkDisable:int
2024-08-22T20:29:11.6124993Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2024-08-22T20:29:11.6125511Z parm:           NVreg_RegisterPCIDriver:int
2024-08-22T20:29:11.6125986Z parm:           NVreg_EnableResizableBar:int
2024-08-22T20:29:11.6126470Z parm:           NVreg_EnableDbgBreakpoint:int
2024-08-22T20:29:11.6126962Z parm:           NVreg_EnableNonblockingOpen:int
2024-08-22T20:29:11.6127435Z parm:           NVreg_RegistryDwords:charp
2024-08-22T20:29:11.6127933Z parm:           NVreg_RegistryDwordsPerDevice:charp
2024-08-22T20:29:11.6128405Z parm:           NVreg_RmMsg:charp
2024-08-22T20:29:11.6128807Z parm:           NVreg_GpuBlacklist:charp
2024-08-22T20:29:11.6129273Z parm:           NVreg_TemporaryFilePath:charp
2024-08-22T20:29:11.6129738Z parm:           NVreg_ExcludedGpus:charp
2024-08-22T20:29:11.6130182Z parm:           NVreg_DmaRemapPeerMmio:int
2024-08-22T20:29:11.6130653Z parm:           NVreg_RmNvlinkBandwidth:charp
2024-08-22T20:29:11.6131123Z parm:           NVreg_ImexChannelCount:int
2024-08-22T20:29:11.6131566Z parm:           rm_firmware_active:charp
2024-08-22T20:29:11.6131974Z + HAS_NVIDIA_DRIVER=0
2024-08-22T20:29:11.6132357Z ++ command -v nvidia-smi
2024-08-22T20:29:11.6132754Z + '[' -x /usr/bin/nvidia-smi ']'
2024-08-22T20:29:11.6133116Z + set +e
2024-08-22T20:29:11.6133616Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0
2024-08-22T20:29:13.8567925Z + INSTALLED_DRIVER_VERSION=550.54.15
2024-08-22T20:29:13.8568564Z + NVIDIA_SMI_STATUS=0
2024-08-22T20:29:13.8569242Z + '[' 0 -ne 0 ']'
2024-08-22T20:29:13.8569625Z + '[' 550.54.15 '!=' 550.54.15 ']'
2024-08-22T20:29:13.8569999Z + HAS_NVIDIA_DRIVER=1
2024-08-22T20:29:13.8570740Z + echo 'NVIDIA driver (550.54.15) has already been installed. Skipping NVIDIA driver installation'
2024-08-22T20:29:13.8571490Z + set -e
2024-08-22T20:29:13.8571797Z + '[' 1 -eq 0 ']'
2024-08-22T20:29:13.8572357Z NVIDIA driver (550.54.15) has already been installed. Skipping NVIDIA driver installation
2024-08-22T20:29:13.8573040Z + post_install_nvidia_driver_common
2024-08-22T20:29:13.8573931Z + sudo modprobe nvidia
2024-08-22T20:29:13.9255755Z + echo 'After installing NVIDIA driver'
2024-08-22T20:29:13.9256350Z + lspci
2024-08-22T20:29:13.9256687Z After installing NVIDIA driver
2024-08-22T20:29:13.9365495Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2024-08-22T20:29:13.9366268Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2024-08-22T20:29:13.9367202Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2024-08-22T20:29:13.9367995Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2024-08-22T20:29:13.9368781Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2024-08-22T20:29:13.9369546Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2024-08-22T20:29:13.9370260Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1)
2024-08-22T20:29:13.9371045Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2024-08-22T20:29:13.9371607Z + lsmod
2024-08-22T20:29:13.9397192Z Module                  Size  Used by
2024-08-22T20:29:13.9398079Z nvidia_uvm           4706304  0
2024-08-22T20:29:13.9398610Z nvidia              54071296  1 nvidia_uvm
2024-08-22T20:29:13.9399193Z drm                   602112  1 nvidia
2024-08-22T20:29:13.9399765Z drm_panel_orientation_quirks    28672  1 drm
2024-08-22T20:29:13.9400567Z backlight              24576  1 drm
2024-08-22T20:29:13.9401128Z i2c_core              106496  2 nvidia,drm
2024-08-22T20:29:13.9401673Z xt_conntrack           16384  1
2024-08-22T20:29:13.9402042Z nft_chain_nat          16384  3
2024-08-22T20:29:13.9402404Z xt_MASQUERADE          20480  1
2024-08-22T20:29:13.9402844Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2024-08-22T20:29:13.9403323Z nf_conntrack_netlink    57344  0
2024-08-22T20:29:13.9403878Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2024-08-22T20:29:13.9404498Z nf_defrag_ipv6         24576  1 nf_conntrack
2024-08-22T20:29:13.9404972Z nf_defrag_ipv4         16384  1 nf_conntrack
2024-08-22T20:29:13.9405387Z xfrm_user              57344  1
2024-08-22T20:29:13.9405790Z xfrm_algo              16384  1 xfrm_user
2024-08-22T20:29:13.9406192Z xt_addrtype            16384  2
2024-08-22T20:29:13.9406551Z nft_compat             20480  4
2024-08-22T20:29:13.9406996Z nf_tables             307200  57 nft_compat,nft_chain_nat
2024-08-22T20:29:13.9407599Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2024-08-22T20:29:13.9408126Z br_netfilter           36864  0
2024-08-22T20:29:13.9408516Z bridge                307200  1 br_netfilter
2024-08-22T20:29:13.9408941Z stp                    16384  1 bridge
2024-08-22T20:29:13.9409347Z llc                    16384  2 bridge,stp
2024-08-22T20:29:13.9409747Z overlay               167936  0
2024-08-22T20:29:13.9410101Z tls                   114688  0
2024-08-22T20:29:13.9410455Z nls_ascii              16384  1
2024-08-22T20:29:13.9410805Z nls_cp437              20480  1
2024-08-22T20:29:13.9411158Z vfat                   24576  1
2024-08-22T20:29:13.9411515Z fat                    86016  1 vfat
2024-08-22T20:29:13.9411894Z sunrpc                692224  1
2024-08-22T20:29:13.9412249Z ena                   167936  0
2024-08-22T20:29:13.9412606Z ptp                    36864  1 ena
2024-08-22T20:29:13.9412985Z pps_core               24576  1 ptp
2024-08-22T20:29:13.9413381Z ghash_clmulni_intel    16384  0
2024-08-22T20:29:13.9413801Z aesni_intel           393216  0
2024-08-22T20:29:13.9414147Z i8042                  45056  0
2024-08-22T20:29:13.9414507Z serio                  28672  3 i8042
2024-08-22T20:29:13.9414921Z crypto_simd            16384  1 aesni_intel
2024-08-22T20:29:13.9415420Z cryptd                 28672  2 crypto_simd,ghash_clmulni_intel
2024-08-22T20:29:13.9415904Z button                 24576  0
2024-08-22T20:29:13.9416292Z sch_fq_codel           20480  17
2024-08-22T20:29:13.9416726Z dm_mod                188416  0
2024-08-22T20:29:13.9417101Z fuse                  163840  1
2024-08-22T20:29:13.9417533Z configfs               57344  1
2024-08-22T20:29:13.9417904Z dax                    45056  1 dm_mod
2024-08-22T20:29:13.9418286Z loop                   36864  0
2024-08-22T20:29:13.9418645Z dmi_sysfs              20480  0
2024-08-22T20:29:13.9419100Z crc32_pclmul           16384  0
2024-08-22T20:29:13.9419460Z crc32c_intel           24576  0
2024-08-22T20:29:13.9419820Z efivarfs               24576  1
2024-08-22T20:29:13.9420163Z + modinfo nvidia
2024-08-22T20:29:13.9420848Z filename:       /lib/modules/6.1.94-99.176.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2024-08-22T20:29:13.9421533Z alias:          char-major-195-*
2024-08-22T20:29:13.9421897Z version:        550.54.15
2024-08-22T20:29:13.9422232Z supported:      external
2024-08-22T20:29:13.9422609Z license:        NVIDIA
2024-08-22T20:29:13.9423016Z firmware:       nvidia/550.54.15/gsp_tu10x.bin
2024-08-22T20:29:13.9423491Z firmware:       nvidia/550.54.15/gsp_ga10x.bin
2024-08-22T20:29:13.9423983Z srcversion:     833721318DA517F0C2FEC97
2024-08-22T20:29:13.9424434Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2024-08-22T20:29:13.9425043Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2024-08-22T20:29:13.9425520Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2024-08-22T20:29:13.9426009Z depends:        i2c-core,drm
2024-08-22T20:29:13.9426357Z retpoline:      Y
2024-08-22T20:29:13.9426741Z name:           nvidia
2024-08-22T20:29:13.9427334Z vermagic:       6.1.94-99.176.amzn2023.x86_64 SMP preempt mod_unload modversions 
2024-08-22T20:29:13.9428019Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2024-08-22T20:29:13.9428645Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2024-08-22T20:29:13.9429222Z parm:           NVreg_ResmanDebugLevel:int
2024-08-22T20:29:13.9429650Z parm:           NVreg_RmLogonRC:int
2024-08-22T20:29:13.9430072Z parm:           NVreg_ModifyDeviceFiles:int
2024-08-22T20:29:13.9430517Z parm:           NVreg_DeviceFileUID:int
2024-08-22T20:29:13.9430935Z parm:           NVreg_DeviceFileGID:int
2024-08-22T20:29:13.9431364Z parm:           NVreg_DeviceFileMode:int
2024-08-22T20:29:13.9431885Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2024-08-22T20:29:13.9432428Z parm:           NVreg_UsePageAttributeTable:int
2024-08-22T20:29:13.9432893Z parm:           NVreg_EnablePCIeGen3:int
2024-08-22T20:29:13.9433324Z parm:           NVreg_EnableMSI:int
2024-08-22T20:29:13.9433772Z parm:           NVreg_TCEBypassMode:int
2024-08-22T20:29:13.9434216Z parm:           NVreg_EnableStreamMemOPs:int
2024-08-22T20:29:13.9434736Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2024-08-22T20:29:13.9435297Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2024-08-22T20:29:13.9435840Z parm:           NVreg_EnableS0ixPowerManagement:int
2024-08-22T20:29:13.9436434Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2024-08-22T20:29:13.9437011Z parm:           NVreg_DynamicPowerManagement:int
2024-08-22T20:29:13.9437602Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2024-08-22T20:29:13.9438183Z parm:           NVreg_EnableGpuFirmware:int
2024-08-22T20:29:13.9438660Z parm:           NVreg_EnableGpuFirmwareLogs:int
2024-08-22T20:29:13.9439180Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2024-08-22T20:29:13.9439715Z parm:           NVreg_EnableUserNUMAManagement:int
2024-08-22T20:29:13.9440197Z parm:           NVreg_MemoryPoolSize:int
2024-08-22T20:29:13.9440645Z parm:           NVreg_KMallocHeapMaxSize:int
2024-08-22T20:29:13.9441115Z parm:           NVreg_VMallocHeapMaxSize:int
2024-08-22T20:29:13.9441569Z parm:           NVreg_IgnoreMMIOCheck:int
2024-08-22T20:29:13.9442007Z parm:           NVreg_NvLinkDisable:int
2024-08-22T20:29:13.9442498Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2024-08-22T20:29:13.9443007Z parm:           NVreg_RegisterPCIDriver:int
2024-08-22T20:29:13.9443477Z parm:           NVreg_EnableResizableBar:int
2024-08-22T20:29:13.9443955Z parm:           NVreg_EnableDbgBreakpoint:int
2024-08-22T20:29:13.9444435Z parm:           NVreg_EnableNonblockingOpen:int
2024-08-22T20:29:13.9444913Z parm:           NVreg_RegistryDwords:charp
2024-08-22T20:29:13.9445400Z parm:           NVreg_RegistryDwordsPerDevice:charp
2024-08-22T20:29:13.9445862Z parm:           NVreg_RmMsg:charp
2024-08-22T20:29:13.9446264Z parm:           NVreg_GpuBlacklist:charp
2024-08-22T20:29:13.9446727Z parm:           NVreg_TemporaryFilePath:charp
2024-08-22T20:29:13.9447187Z parm:           NVreg_ExcludedGpus:charp
2024-08-22T20:29:13.9447624Z parm:           NVreg_DmaRemapPeerMmio:int
2024-08-22T20:29:13.9448096Z parm:           NVreg_RmNvlinkBandwidth:charp
2024-08-22T20:29:13.9448559Z parm:           NVreg_ImexChannelCount:int
2024-08-22T20:29:13.9448991Z parm:           rm_firmware_active:charp
2024-08-22T20:29:13.9449394Z + set +e
2024-08-22T20:29:13.9449693Z + nvidia-smi
2024-08-22T20:29:15.5080213Z Thu Aug 22 20:29:15 2024       
2024-08-22T20:29:15.5081551Z +-----------------------------------------------------------------------------------------+
2024-08-22T20:29:15.5083193Z | NVIDIA-SMI 550.54.15              Driver Version: 550.54.15      CUDA Version: 12.4     |
2024-08-22T20:29:15.5084572Z |-----------------------------------------+------------------------+----------------------+
2024-08-22T20:29:15.5085831Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2024-08-22T20:29:15.5086739Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2024-08-22T20:29:15.5087430Z |                                         |                        |               MIG M. |
2024-08-22T20:29:15.5087986Z |=========================================+========================+======================|
2024-08-22T20:29:15.5178350Z |   0  NVIDIA A10G                    Off |   00000000:00:1E.0 Off |                    0 |
2024-08-22T20:29:15.5179169Z |  0%   32C    P0             57W /  300W |       0MiB /  23028MiB |      5%      Default |
2024-08-22T20:29:15.5179796Z |                                         |                        |                  N/A |
2024-08-22T20:29:15.5180506Z +-----------------------------------------+------------------------+----------------------+
2024-08-22T20:29:15.5181202Z                                                                                          
2024-08-22T20:29:15.5181881Z +-----------------------------------------------------------------------------------------+
2024-08-22T20:29:15.5182496Z | Processes:                                                                              |
2024-08-22T20:29:15.5183189Z |  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
2024-08-22T20:29:15.5183882Z |        ID   ID                                                               Usage      |
2024-08-22T20:29:15.5184493Z |=========================================================================================|
2024-08-22T20:29:15.5185133Z |  No running processes found                                                             |
2024-08-22T20:29:15.5185898Z +-----------------------------------------------------------------------------------------+
2024-08-22T20:29:16.1218407Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
2024-08-22T20:29:17.6941590Z NVIDIA A10G
2024-08-22T20:29:18.1441397Z + NVIDIA_SMI_STATUS=0
2024-08-22T20:29:18.1443120Z + '[' 0 -eq 0 ']'
2024-08-22T20:29:18.1443620Z + echo 'INFO: Ignoring allowed status 0'
2024-08-22T20:29:18.1444042Z + set -e
2024-08-22T20:29:18.1444340Z INFO: Ignoring allowed status 0
2024-08-22T20:29:18.1450976Z == Installing nvidia container toolkit for amzn2023 ==
2024-08-22T20:29:18.1455036Z + sudo yum install -y yum-utils
2024-08-22T20:29:18.5467667Z Last metadata expiration check: 0:00:37 ago on Thu Aug 22 20:28:41 2024.
2024-08-22T20:29:18.5686285Z Package dnf-utils-4.3.0-13.amzn2023.0.4.noarch is already installed.
2024-08-22T20:29:18.5987814Z Dependencies resolved.
2024-08-22T20:29:18.6112525Z Nothing to do.
2024-08-22T20:29:18.6112890Z Complete!
2024-08-22T20:29:18.6482417Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]]
2024-08-22T20:29:18.6483513Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2024-08-22T20:29:18.6484805Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2024-08-22T20:29:18.9485623Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2024-08-22T20:29:19.0112422Z + sudo yum install -y nvidia-docker2
2024-08-22T20:29:19.4845972Z nvidia-container-toolkit                         11 kB/s | 833  B     00:00    
2024-08-22T20:29:19.5062538Z Package nvidia-docker2-2.14.0-1.noarch is already installed.
2024-08-22T20:29:19.5360136Z Dependencies resolved.
2024-08-22T20:29:19.5485123Z Nothing to do.
2024-08-22T20:29:19.5485495Z Complete!
2024-08-22T20:29:19.5866062Z + sudo systemctl restart docker
2024-08-22T20:29:23.9004713Z Thu Aug 22 20:29:23 2024       
2024-08-22T20:29:23.9005757Z +-----------------------------------------------------------------------------------------+
2024-08-22T20:29:23.9006858Z | NVIDIA-SMI 550.54.15              Driver Version: 550.54.15      CUDA Version: 12.4     |
2024-08-22T20:29:23.9007643Z |-----------------------------------------+------------------------+----------------------+
2024-08-22T20:29:23.9008594Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2024-08-22T20:29:23.9009488Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2024-08-22T20:29:23.9010156Z |                                         |                        |               MIG M. |
2024-08-22T20:29:23.9010702Z |=========================================+========================+======================|
2024-08-22T20:29:23.9123616Z |   0  NVIDIA A10G                    On  |   00000000:00:1E.0 Off |                    0 |
2024-08-22T20:29:23.9124529Z |  0%   32C    P0             57W /  300W |       0MiB /  23028MiB |      5%      Default |
2024-08-22T20:29:23.9125339Z |                                         |                        |                  N/A |
2024-08-22T20:29:23.9126248Z +-----------------------------------------+------------------------+----------------------+
2024-08-22T20:29:23.9126904Z                                                                                          
2024-08-22T20:29:23.9127568Z +-----------------------------------------------------------------------------------------+
2024-08-22T20:29:23.9128188Z | Processes:                                                                              |
2024-08-22T20:29:23.9128879Z |  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
2024-08-22T20:29:23.9129564Z |        ID   ID                                                               Usage      |
2024-08-22T20:29:23.9130119Z |=========================================================================================|
2024-08-22T20:29:23.9130767Z |  No running processes found                                                             |
2024-08-22T20:29:23.9131514Z +-----------------------------------------------------------------------------------------+
2024-08-22T20:29:24.2841701Z Command completed after 1 attempt(s).
2024-08-22T20:29:24.2942044Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2024-08-22T20:29:24.2942964Z # ignore expansion of "docker ps -q" since it could be empty
2024-08-22T20:29:24.2943548Z # shellcheck disable=SC2046
2024-08-22T20:29:24.2943998Z docker stop $(docker ps -q) || true
2024-08-22T20:29:24.2944466Z # Prune all of the docker images
2024-08-22T20:29:24.2944912Z docker system prune -af
2024-08-22T20:29:24.2959172Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:29:24.2959660Z env:
2024-08-22T20:29:24.2960314Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:24.2960775Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:29:24.2961147Z   PR_NUMBER: 1044
2024-08-22T20:29:24.2966157Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:29:24.2971848Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:29:24.2972610Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:29:24.2973487Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:29:24.2974101Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-08-22T20:29:24.2974572Z ##[endgroup]
2024-08-22T20:29:24.3300805Z "docker stop" requires at least 1 argument.
2024-08-22T20:29:24.3301589Z See 'docker stop --help'.
2024-08-22T20:29:24.3301820Z 
2024-08-22T20:29:24.3302037Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2024-08-22T20:29:24.3302406Z 
2024-08-22T20:29:24.3302550Z Stop one or more running containers
2024-08-22T20:29:24.3494101Z Total reclaimed space: 0B
2024-08-22T20:29:24.3565523Z ##[group]Run ./test-infra/.github/actions/setup-ssh
2024-08-22T20:29:24.3565994Z with:
2024-08-22T20:29:24.3566483Z   github-secret: ***
2024-08-22T20:29:24.3567395Z   instructions: All testing is done inside the container, to start an interactive session run:
   docker exec -it $(docker container ps --format '{{.ID}}') bash

2024-08-22T20:29:24.3568361Z   activate-with-label: false
2024-08-22T20:29:24.3568715Z   label: with-ssh
2024-08-22T20:29:24.3569035Z   remove-existing-keys: true
2024-08-22T20:29:24.3569395Z   fail-silently: true
2024-08-22T20:29:24.3569705Z env:
2024-08-22T20:29:24.3570022Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:24.3570467Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:29:24.3570839Z   PR_NUMBER: 1044
2024-08-22T20:29:24.3575832Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:29:24.3582284Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:29:24.3583263Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:29:24.3584140Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:29:24.3584761Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-08-22T20:29:24.3585235Z ##[endgroup]
2024-08-22T20:29:24.4406290Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2024-08-22T20:29:24.7986046Z Grabbing public ssh keys from https://github.com/kwen2501.keys
2024-08-22T20:29:24.8591319Z ~/.ssh/authorized_keys file found on node, removing ~/.ssh and starting fresh
2024-08-22T20:29:24.8606700Z Public keys pulled and installed to /home/ec2-user/.ssh/authorized_keys
2024-08-22T20:29:24.8635787Z Login using: ssh ec2-user@ec2-34-200-238-179.compute-1.amazonaws.com
2024-08-22T20:29:24.8636810Z All testing is done inside the container, to start an interactive session run:
2024-08-22T20:29:24.8637621Z    docker exec -it $(docker container ps --format '{{.ID}}') bash
2024-08-22T20:29:24.8762200Z ##[group]Run actions/checkout@v3
2024-08-22T20:29:24.8762590Z with:
2024-08-22T20:29:24.8762871Z   repository: pytorch/torchchat
2024-08-22T20:29:24.8763425Z   ref: refs/pull/1044/merge
2024-08-22T20:29:24.8763784Z   path: pytorch/torchchat
2024-08-22T20:29:24.8764119Z   fetch-depth: 1
2024-08-22T20:29:24.8764535Z   token: ***
2024-08-22T20:29:24.8764823Z   ssh-strict: true
2024-08-22T20:29:24.8765144Z   persist-credentials: true
2024-08-22T20:29:24.8765489Z   clean: true
2024-08-22T20:29:24.8765809Z   sparse-checkout-cone-mode: true
2024-08-22T20:29:24.8766198Z   fetch-tags: false
2024-08-22T20:29:24.8766495Z   lfs: false
2024-08-22T20:29:24.8766797Z   set-safe-directory: true
2024-08-22T20:29:24.8767131Z env:
2024-08-22T20:29:24.8767458Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:24.8767945Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:29:24.8768317Z   PR_NUMBER: 1044
2024-08-22T20:29:24.8773314Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:29:24.8778845Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:29:24.8779679Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:29:24.8780400Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:29:24.8781018Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-08-22T20:29:24.8781492Z ##[endgroup]
2024-08-22T20:29:24.9661584Z Syncing repository: pytorch/torchchat
2024-08-22T20:29:24.9669881Z ##[group]Getting Git version info
2024-08-22T20:29:24.9670718Z Working directory is '/home/ec2-user/actions-runner/_work/torchchat/torchchat/pytorch/torchchat'
2024-08-22T20:29:24.9691802Z [command]/usr/bin/git version
2024-08-22T20:29:24.9743493Z git version 2.40.1
2024-08-22T20:29:24.9765646Z ##[endgroup]
2024-08-22T20:29:24.9779251Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/fb4f93ac-4794-4f39-951a-5e44116e95f6' before making global git config changes
2024-08-22T20:29:24.9780486Z Adding repository directory to the temporary git global config as a safe directory
2024-08-22T20:29:24.9783615Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/torchchat/torchchat/pytorch/torchchat
2024-08-22T20:29:24.9826725Z ##[group]Initializing the repository
2024-08-22T20:29:24.9829793Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/torchchat/torchchat/pytorch/torchchat
2024-08-22T20:29:24.9873587Z hint: Using 'master' as the name for the initial branch. This default branch name
2024-08-22T20:29:24.9874601Z hint: is subject to change. To configure the initial branch name to use in all
2024-08-22T20:29:24.9875486Z hint: of your new repositories, which will suppress this warning, call:
2024-08-22T20:29:24.9876038Z hint: 
2024-08-22T20:29:24.9876465Z hint: 	git config --global init.defaultBranch <name>
2024-08-22T20:29:24.9876914Z hint: 
2024-08-22T20:29:24.9877423Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2024-08-22T20:29:24.9878534Z hint: 'development'. The just-created branch can be renamed via this command:
2024-08-22T20:29:24.9879260Z hint: 
2024-08-22T20:29:24.9879906Z hint: 	git branch -m <name>
2024-08-22T20:29:24.9880828Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/torchchat/torchchat/pytorch/torchchat/.git/
2024-08-22T20:29:24.9887055Z [command]/usr/bin/git remote add origin https://github.com/pytorch/torchchat
2024-08-22T20:29:24.9928378Z ##[endgroup]
2024-08-22T20:29:24.9929044Z ##[group]Disabling automatic garbage collection
2024-08-22T20:29:24.9931150Z [command]/usr/bin/git config --local gc.auto 0
2024-08-22T20:29:24.9971829Z ##[endgroup]
2024-08-22T20:29:24.9972344Z ##[group]Setting up auth
2024-08-22T20:29:24.9977409Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2024-08-22T20:29:25.0021047Z [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' || :"
2024-08-22T20:29:25.0379096Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2024-08-22T20:29:25.0419942Z [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' || :"
2024-08-22T20:29:25.0772284Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2024-08-22T20:29:25.0826767Z ##[endgroup]
2024-08-22T20:29:25.0827451Z ##[group]Fetching the repository
2024-08-22T20:29:25.0834068Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --progress --no-recurse-submodules --depth=1 origin +refs/pull/1044/merge:refs/remotes/pull/1044/merge
2024-08-22T20:29:25.2724763Z remote: Enumerating objects: 237, done.        
2024-08-22T20:29:25.2725480Z remote: Counting objects:   0% (1/237)        
2024-08-22T20:29:25.2726149Z remote: Counting objects:   1% (3/237)        
2024-08-22T20:29:25.2726803Z remote: Counting objects:   2% (5/237)        
2024-08-22T20:29:25.2727450Z remote: Counting objects:   3% (8/237)        
2024-08-22T20:29:25.2727983Z remote: Counting objects:   4% (10/237)        
2024-08-22T20:29:25.2728614Z remote: Counting objects:   5% (12/237)        
2024-08-22T20:29:25.2729240Z remote: Counting objects:   6% (15/237)        
2024-08-22T20:29:25.2729851Z remote: Counting objects:   7% (17/237)        
2024-08-22T20:29:25.2730328Z remote: Counting objects:   8% (19/237)        
2024-08-22T20:29:25.2730811Z remote: Counting objects:   9% (22/237)        
2024-08-22T20:29:25.2731291Z remote: Counting objects:  10% (24/237)        
2024-08-22T20:29:25.2731767Z remote: Counting objects:  11% (27/237)        
2024-08-22T20:29:25.2732248Z remote: Counting objects:  12% (29/237)        
2024-08-22T20:29:25.2732725Z remote: Counting objects:  13% (31/237)        
2024-08-22T20:29:25.2733203Z remote: Counting objects:  14% (34/237)        
2024-08-22T20:29:25.2733750Z remote: Counting objects:  15% (36/237)        
2024-08-22T20:29:25.2734224Z remote: Counting objects:  16% (38/237)        
2024-08-22T20:29:25.2734710Z remote: Counting objects:  17% (41/237)        
2024-08-22T20:29:25.2735318Z remote: Counting objects:  18% (43/237)        
2024-08-22T20:29:25.2735931Z remote: Counting objects:  19% (46/237)        
2024-08-22T20:29:25.2736544Z remote: Counting objects:  20% (48/237)        
2024-08-22T20:29:25.2737018Z remote: Counting objects:  21% (50/237)        
2024-08-22T20:29:25.2737494Z remote: Counting objects:  22% (53/237)        
2024-08-22T20:29:25.2738033Z remote: Counting objects:  23% (55/237)        
2024-08-22T20:29:25.2738514Z remote: Counting objects:  24% (57/237)        
2024-08-22T20:29:25.2739103Z remote: Counting objects:  25% (60/237)        
2024-08-22T20:29:25.2739577Z remote: Counting objects:  26% (62/237)        
2024-08-22T20:29:25.2740284Z remote: Counting objects:  27% (64/237)        
2024-08-22T20:29:25.2740760Z remote: Counting objects:  28% (67/237)        
2024-08-22T20:29:25.2741236Z remote: Counting objects:  29% (69/237)        
2024-08-22T20:29:25.2741846Z remote: Counting objects:  30% (72/237)        
2024-08-22T20:29:25.2742315Z remote: Counting objects:  31% (74/237)        
2024-08-22T20:29:25.2742791Z remote: Counting objects:  32% (76/237)        
2024-08-22T20:29:25.2743265Z remote: Counting objects:  33% (79/237)        
2024-08-22T20:29:25.2743807Z remote: Counting objects:  34% (81/237)        
2024-08-22T20:29:25.2744287Z remote: Counting objects:  35% (83/237)        
2024-08-22T20:29:25.2744765Z remote: Counting objects:  36% (86/237)        
2024-08-22T20:29:25.2745233Z remote: Counting objects:  37% (88/237)        
2024-08-22T20:29:25.2745758Z remote: Counting objects:  38% (91/237)        
2024-08-22T20:29:25.2746240Z remote: Counting objects:  39% (93/237)        
2024-08-22T20:29:25.2746707Z remote: Counting objects:  40% (95/237)        
2024-08-22T20:29:25.2747192Z remote: Counting objects:  41% (98/237)        
2024-08-22T20:29:25.2747675Z remote: Counting objects:  42% (100/237)        
2024-08-22T20:29:25.2748206Z remote: Counting objects:  43% (102/237)        
2024-08-22T20:29:25.2748776Z remote: Counting objects:  44% (105/237)        
2024-08-22T20:29:25.2749270Z remote: Counting objects:  45% (107/237)        
2024-08-22T20:29:25.2749755Z remote: Counting objects:  46% (110/237)        
2024-08-22T20:29:25.2750243Z remote: Counting objects:  47% (112/237)        
2024-08-22T20:29:25.2750730Z remote: Counting objects:  48% (114/237)        
2024-08-22T20:29:25.2751220Z remote: Counting objects:  49% (117/237)        
2024-08-22T20:29:25.2751700Z remote: Counting objects:  50% (119/237)        
2024-08-22T20:29:25.2752191Z remote: Counting objects:  51% (121/237)        
2024-08-22T20:29:25.2752733Z remote: Counting objects:  52% (124/237)        
2024-08-22T20:29:25.2753221Z remote: Counting objects:  53% (126/237)        
2024-08-22T20:29:25.2753712Z remote: Counting objects:  54% (128/237)        
2024-08-22T20:29:25.2754195Z remote: Counting objects:  55% (131/237)        
2024-08-22T20:29:25.2754670Z remote: Counting objects:  56% (133/237)        
2024-08-22T20:29:25.2755163Z remote: Counting objects:  57% (136/237)        
2024-08-22T20:29:25.2755642Z remote: Counting objects:  58% (138/237)        
2024-08-22T20:29:25.2756124Z remote: Counting objects:  59% (140/237)        
2024-08-22T20:29:25.2756661Z remote: Counting objects:  60% (143/237)        
2024-08-22T20:29:25.2757145Z remote: Counting objects:  61% (145/237)        
2024-08-22T20:29:25.2757625Z remote: Counting objects:  62% (147/237)        
2024-08-22T20:29:25.2758109Z remote: Counting objects:  63% (150/237)        
2024-08-22T20:29:25.2758590Z remote: Counting objects:  64% (152/237)        
2024-08-22T20:29:25.2759065Z remote: Counting objects:  65% (155/237)        
2024-08-22T20:29:25.2759553Z remote: Counting objects:  66% (157/237)        
2024-08-22T20:29:25.2761478Z remote: Counting objects:  67% (159/237)        
2024-08-22T20:29:25.2762030Z remote: Counting objects:  68% (162/237)        
2024-08-22T20:29:25.2762513Z remote: Counting objects:  69% (164/237)        
2024-08-22T20:29:25.2762991Z remote: Counting objects:  70% (166/237)        
2024-08-22T20:29:25.2763461Z remote: Counting objects:  71% (169/237)        
2024-08-22T20:29:25.2763924Z remote: Counting objects:  72% (171/237)        
2024-08-22T20:29:25.2764394Z remote: Counting objects:  73% (174/237)        
2024-08-22T20:29:25.2764869Z remote: Counting objects:  74% (176/237)        
2024-08-22T20:29:25.2765335Z remote: Counting objects:  75% (178/237)        
2024-08-22T20:29:25.2765805Z remote: Counting objects:  76% (181/237)        
2024-08-22T20:29:25.2766275Z remote: Counting objects:  77% (183/237)        
2024-08-22T20:29:25.2766765Z remote: Counting objects:  78% (185/237)        
2024-08-22T20:29:25.2767261Z remote: Counting objects:  79% (188/237)        
2024-08-22T20:29:25.2767899Z remote: Counting objects:  80% (190/237)        
2024-08-22T20:29:25.2768373Z remote: Counting objects:  81% (192/237)        
2024-08-22T20:29:25.2768844Z remote: Counting objects:  82% (195/237)        
2024-08-22T20:29:25.2769443Z remote: Counting objects:  83% (197/237)        
2024-08-22T20:29:25.2769982Z remote: Counting objects:  84% (200/237)        
2024-08-22T20:29:25.2770464Z remote: Counting objects:  85% (202/237)        
2024-08-22T20:29:25.2770943Z remote: Counting objects:  86% (204/237)        
2024-08-22T20:29:25.2771417Z remote: Counting objects:  87% (207/237)        
2024-08-22T20:29:25.2771895Z remote: Counting objects:  88% (209/237)        
2024-08-22T20:29:25.2772436Z remote: Counting objects:  89% (211/237)        
2024-08-22T20:29:25.2772911Z remote: Counting objects:  90% (214/237)        
2024-08-22T20:29:25.2773389Z remote: Counting objects:  91% (216/237)        
2024-08-22T20:29:25.2773885Z remote: Counting objects:  92% (219/237)        
2024-08-22T20:29:25.2774378Z remote: Counting objects:  93% (221/237)        
2024-08-22T20:29:25.2774849Z remote: Counting objects:  94% (223/237)        
2024-08-22T20:29:25.2775344Z remote: Counting objects:  95% (226/237)        
2024-08-22T20:29:25.2775982Z remote: Counting objects:  96% (228/237)        
2024-08-22T20:29:25.2776534Z remote: Counting objects:  97% (230/237)        
2024-08-22T20:29:25.2777015Z remote: Counting objects:  98% (233/237)        
2024-08-22T20:29:25.2777490Z remote: Counting objects:  99% (235/237)        
2024-08-22T20:29:25.2777958Z remote: Counting objects: 100% (237/237)        
2024-08-22T20:29:25.2778468Z remote: Counting objects: 100% (237/237), done.        
2024-08-22T20:29:25.2779098Z remote: Compressing objects:   0% (1/193)        
2024-08-22T20:29:25.2779604Z remote: Compressing objects:   1% (2/193)        
2024-08-22T20:29:25.2780131Z remote: Compressing objects:   2% (4/193)        
2024-08-22T20:29:25.2780796Z remote: Compressing objects:   3% (6/193)        
2024-08-22T20:29:25.2781404Z remote: Compressing objects:   4% (8/193)        
2024-08-22T20:29:25.2781919Z remote: Compressing objects:   5% (10/193)        
2024-08-22T20:29:25.2782435Z remote: Compressing objects:   6% (12/193)        
2024-08-22T20:29:25.2782950Z remote: Compressing objects:   7% (14/193)        
2024-08-22T20:29:25.2783464Z remote: Compressing objects:   8% (16/193)        
2024-08-22T20:29:25.2783971Z remote: Compressing objects:   9% (18/193)        
2024-08-22T20:29:25.2784481Z remote: Compressing objects:  10% (20/193)        
2024-08-22T20:29:25.2784988Z remote: Compressing objects:  11% (22/193)        
2024-08-22T20:29:25.2785494Z remote: Compressing objects:  12% (24/193)        
2024-08-22T20:29:25.2786003Z remote: Compressing objects:  13% (26/193)        
2024-08-22T20:29:25.2786511Z remote: Compressing objects:  14% (28/193)        
2024-08-22T20:29:25.2787014Z remote: Compressing objects:  15% (29/193)        
2024-08-22T20:29:25.2792767Z remote: Compressing objects:  16% (31/193)        
2024-08-22T20:29:25.2811208Z remote: Compressing objects:  17% (33/193)        
2024-08-22T20:29:25.2828960Z remote: Compressing objects:  18% (35/193)        
2024-08-22T20:29:25.2833503Z remote: Compressing objects:  19% (37/193)        
2024-08-22T20:29:25.2835933Z remote: Compressing objects:  20% (39/193)        
2024-08-22T20:29:25.2841548Z remote: Compressing objects:  21% (41/193)        
2024-08-22T20:29:25.2844503Z remote: Compressing objects:  22% (43/193)        
2024-08-22T20:29:25.2847135Z remote: Compressing objects:  23% (45/193)        
2024-08-22T20:29:25.2847816Z remote: Compressing objects:  24% (47/193)        
2024-08-22T20:29:25.2849794Z remote: Compressing objects:  25% (49/193)        
2024-08-22T20:29:25.2850465Z remote: Compressing objects:  26% (51/193)        
2024-08-22T20:29:25.2851879Z remote: Compressing objects:  27% (53/193)        
2024-08-22T20:29:25.2852536Z remote: Compressing objects:  28% (55/193)        
2024-08-22T20:29:25.2855372Z remote: Compressing objects:  29% (56/193)        
2024-08-22T20:29:25.2859468Z remote: Compressing objects:  30% (58/193)        
2024-08-22T20:29:25.2860407Z remote: Compressing objects:  31% (60/193)        
2024-08-22T20:29:25.2861250Z remote: Compressing objects:  32% (62/193)        
2024-08-22T20:29:25.2861777Z remote: Compressing objects:  33% (64/193)        
2024-08-22T20:29:25.2862457Z remote: Compressing objects:  34% (66/193)        
2024-08-22T20:29:25.2863077Z remote: Compressing objects:  35% (68/193)        
2024-08-22T20:29:25.2863580Z remote: Compressing objects:  36% (70/193)        
2024-08-22T20:29:25.2864164Z remote: Compressing objects:  37% (72/193)        
2024-08-22T20:29:25.2864819Z remote: Compressing objects:  38% (74/193)        
2024-08-22T20:29:25.2865371Z remote: Compressing objects:  39% (76/193)        
2024-08-22T20:29:25.2865875Z remote: Compressing objects:  40% (78/193)        
2024-08-22T20:29:25.2866371Z remote: Compressing objects:  41% (80/193)        
2024-08-22T20:29:25.2866890Z remote: Compressing objects:  42% (82/193)        
2024-08-22T20:29:25.2867575Z remote: Compressing objects:  43% (83/193)        
2024-08-22T20:29:25.2868198Z remote: Compressing objects:  44% (85/193)        
2024-08-22T20:29:25.2871125Z remote: Compressing objects:  45% (87/193)        
2024-08-22T20:29:25.2874813Z remote: Compressing objects:  46% (89/193)        
2024-08-22T20:29:25.2877577Z remote: Compressing objects:  47% (91/193)        
2024-08-22T20:29:25.2878242Z remote: Compressing objects:  48% (93/193)        
2024-08-22T20:29:25.2878831Z remote: Compressing objects:  49% (95/193)        
2024-08-22T20:29:25.2879899Z remote: Compressing objects:  50% (97/193)        
2024-08-22T20:29:25.2880566Z remote: Compressing objects:  51% (99/193)        
2024-08-22T20:29:25.2881225Z remote: Compressing objects:  52% (101/193)        
2024-08-22T20:29:25.2881754Z remote: Compressing objects:  53% (103/193)        
2024-08-22T20:29:25.2882339Z remote: Compressing objects:  54% (105/193)        
2024-08-22T20:29:25.2883033Z remote: Compressing objects:  55% (107/193)        
2024-08-22T20:29:25.2883673Z remote: Compressing objects:  56% (109/193)        
2024-08-22T20:29:25.2884182Z remote: Compressing objects:  57% (111/193)        
2024-08-22T20:29:25.2884785Z remote: Compressing objects:  58% (112/193)        
2024-08-22T20:29:25.2885453Z remote: Compressing objects:  59% (114/193)        
2024-08-22T20:29:25.2885991Z remote: Compressing objects:  60% (116/193)        
2024-08-22T20:29:25.2886491Z remote: Compressing objects:  61% (118/193)        
2024-08-22T20:29:25.2887357Z remote: Compressing objects:  62% (120/193)        
2024-08-22T20:29:25.2890171Z remote: Compressing objects:  63% (122/193)        
2024-08-22T20:29:25.2892731Z remote: Compressing objects:  64% (124/193)        
2024-08-22T20:29:25.2895428Z remote: Compressing objects:  65% (126/193)        
2024-08-22T20:29:25.2896113Z remote: Compressing objects:  66% (128/193)        
2024-08-22T20:29:25.2898023Z remote: Compressing objects:  67% (130/193)        
2024-08-22T20:29:25.2898705Z remote: Compressing objects:  68% (132/193)        
2024-08-22T20:29:25.2900599Z remote: Compressing objects:  69% (134/193)        
2024-08-22T20:29:25.2904480Z remote: Compressing objects:  70% (136/193)        
2024-08-22T20:29:25.2906939Z remote: Compressing objects:  71% (138/193)        
2024-08-22T20:29:25.2907618Z remote: Compressing objects:  72% (139/193)        
2024-08-22T20:29:25.2909077Z remote: Compressing objects:  73% (141/193)        
2024-08-22T20:29:25.2911926Z remote: Compressing objects:  74% (143/193)        
2024-08-22T20:29:25.2914565Z remote: Compressing objects:  75% (145/193)        
2024-08-22T20:29:25.2915250Z remote: Compressing objects:  76% (147/193)        
2024-08-22T20:29:25.2916551Z remote: Compressing objects:  77% (149/193)        
2024-08-22T20:29:25.2921475Z remote: Compressing objects:  78% (151/193)        
2024-08-22T20:29:25.2924023Z remote: Compressing objects:  79% (153/193)        
2024-08-22T20:29:25.2926886Z remote: Compressing objects:  80% (155/193)        
2024-08-22T20:29:25.2927809Z remote: Compressing objects:  81% (157/193)        
2024-08-22T20:29:25.2928414Z remote: Compressing objects:  82% (159/193)        
2024-08-22T20:29:25.2929069Z remote: Compressing objects:  83% (161/193)        
2024-08-22T20:29:25.2929758Z remote: Compressing objects:  84% (163/193)        
2024-08-22T20:29:25.2930429Z remote: Compressing objects:  85% (165/193)        
2024-08-22T20:29:25.2931060Z remote: Compressing objects:  86% (166/193)        
2024-08-22T20:29:25.2931588Z remote: Compressing objects:  87% (168/193)        
2024-08-22T20:29:25.2932110Z remote: Compressing objects:  88% (170/193)        
2024-08-22T20:29:25.2932618Z remote: Compressing objects:  89% (172/193)        
2024-08-22T20:29:25.2933142Z remote: Compressing objects:  90% (174/193)        
2024-08-22T20:29:25.2933658Z remote: Compressing objects:  91% (176/193)        
2024-08-22T20:29:25.2934164Z remote: Compressing objects:  92% (178/193)        
2024-08-22T20:29:25.2934695Z remote: Compressing objects:  93% (180/193)        
2024-08-22T20:29:25.2935214Z remote: Compressing objects:  94% (182/193)        
2024-08-22T20:29:25.2935718Z remote: Compressing objects:  95% (184/193)        
2024-08-22T20:29:25.2936234Z remote: Compressing objects:  96% (186/193)        
2024-08-22T20:29:25.2936749Z remote: Compressing objects:  97% (188/193)        
2024-08-22T20:29:25.2937253Z remote: Compressing objects:  98% (190/193)        
2024-08-22T20:29:25.2937761Z remote: Compressing objects:  99% (192/193)        
2024-08-22T20:29:25.2938267Z remote: Compressing objects: 100% (193/193)        
2024-08-22T20:29:25.2938816Z remote: Compressing objects: 100% (193/193), done.        
2024-08-22T20:29:25.2959773Z Receiving objects:   0% (1/237)
2024-08-22T20:29:25.2960356Z Receiving objects:   1% (3/237)
2024-08-22T20:29:25.2960791Z Receiving objects:   2% (5/237)
2024-08-22T20:29:25.2961861Z Receiving objects:   3% (8/237)
2024-08-22T20:29:25.2963997Z Receiving objects:   4% (10/237)
2024-08-22T20:29:25.2964857Z Receiving objects:   5% (12/237)
2024-08-22T20:29:25.2965293Z Receiving objects:   6% (15/237)
2024-08-22T20:29:25.2965686Z Receiving objects:   7% (17/237)
2024-08-22T20:29:25.2966082Z Receiving objects:   8% (19/237)
2024-08-22T20:29:25.2968927Z Receiving objects:   9% (22/237)
2024-08-22T20:29:25.2969988Z Receiving objects:  10% (24/237)
2024-08-22T20:29:25.2970466Z Receiving objects:  11% (27/237)
2024-08-22T20:29:25.2970855Z Receiving objects:  12% (29/237)
2024-08-22T20:29:25.2971251Z Receiving objects:  13% (31/237)
2024-08-22T20:29:25.2971679Z Receiving objects:  14% (34/237)
2024-08-22T20:29:25.2972130Z Receiving objects:  15% (36/237)
2024-08-22T20:29:25.2975700Z Receiving objects:  16% (38/237)
2024-08-22T20:29:25.2976324Z Receiving objects:  17% (41/237)
2024-08-22T20:29:25.2976803Z Receiving objects:  18% (43/237)
2024-08-22T20:29:25.2977242Z Receiving objects:  19% (46/237)
2024-08-22T20:29:25.2977795Z Receiving objects:  20% (48/237)
2024-08-22T20:29:25.2978284Z Receiving objects:  21% (50/237)
2024-08-22T20:29:25.2978758Z Receiving objects:  22% (53/237)
2024-08-22T20:29:25.2979389Z Receiving objects:  23% (55/237)
2024-08-22T20:29:25.2979868Z Receiving objects:  24% (57/237)
2024-08-22T20:29:25.2980341Z Receiving objects:  25% (60/237)
2024-08-22T20:29:25.2980883Z Receiving objects:  26% (62/237)
2024-08-22T20:29:25.2981357Z Receiving objects:  27% (64/237)
2024-08-22T20:29:25.2981820Z Receiving objects:  28% (67/237)
2024-08-22T20:29:25.2982412Z Receiving objects:  29% (69/237)
2024-08-22T20:29:25.2982913Z Receiving objects:  30% (72/237)
2024-08-22T20:29:25.2983352Z Receiving objects:  31% (74/237)
2024-08-22T20:29:25.2983881Z Receiving objects:  32% (76/237)
2024-08-22T20:29:25.2984384Z Receiving objects:  33% (79/237)
2024-08-22T20:29:25.2984868Z Receiving objects:  34% (81/237)
2024-08-22T20:29:25.2985371Z Receiving objects:  35% (83/237)
2024-08-22T20:29:25.2985867Z Receiving objects:  36% (86/237)
2024-08-22T20:29:25.2993896Z Receiving objects:  37% (88/237)
2024-08-22T20:29:25.2999025Z Receiving objects:  38% (91/237)
2024-08-22T20:29:25.2999546Z Receiving objects:  39% (93/237)
2024-08-22T20:29:25.3000029Z Receiving objects:  40% (95/237)
2024-08-22T20:29:25.3000705Z Receiving objects:  41% (98/237)
2024-08-22T20:29:25.3001180Z Receiving objects:  42% (100/237)
2024-08-22T20:29:25.3001665Z Receiving objects:  43% (102/237)
2024-08-22T20:29:25.3002199Z Receiving objects:  44% (105/237)
2024-08-22T20:29:25.3002680Z Receiving objects:  45% (107/237)
2024-08-22T20:29:25.3003191Z Receiving objects:  46% (110/237)
2024-08-22T20:29:25.3003724Z Receiving objects:  47% (112/237)
2024-08-22T20:29:25.3004163Z Receiving objects:  48% (114/237)
2024-08-22T20:29:25.3004663Z Receiving objects:  49% (117/237)
2024-08-22T20:29:25.3028536Z Receiving objects:  50% (119/237)
2024-08-22T20:29:25.3035368Z Receiving objects:  51% (121/237)
2024-08-22T20:29:25.3036778Z Receiving objects:  52% (124/237)
2024-08-22T20:29:25.3126139Z Receiving objects:  53% (126/237)
2024-08-22T20:29:25.3126626Z Receiving objects:  54% (128/237)
2024-08-22T20:29:25.3131430Z Receiving objects:  55% (131/237)
2024-08-22T20:29:25.3133683Z Receiving objects:  56% (133/237)
2024-08-22T20:29:25.3134249Z Receiving objects:  57% (136/237)
2024-08-22T20:29:25.3134765Z Receiving objects:  58% (138/237)
2024-08-22T20:29:25.3135234Z Receiving objects:  59% (140/237)
2024-08-22T20:29:25.3135725Z Receiving objects:  60% (143/237)
2024-08-22T20:29:25.3136217Z Receiving objects:  61% (145/237)
2024-08-22T20:29:25.3136692Z Receiving objects:  62% (147/237)
2024-08-22T20:29:25.3137181Z Receiving objects:  63% (150/237)
2024-08-22T20:29:25.3138328Z Receiving objects:  64% (152/237)
2024-08-22T20:29:25.3140429Z Receiving objects:  65% (155/237)
2024-08-22T20:29:25.3140936Z Receiving objects:  66% (157/237)
2024-08-22T20:29:25.3141446Z Receiving objects:  67% (159/237)
2024-08-22T20:29:25.3141949Z Receiving objects:  68% (162/237)
2024-08-22T20:29:25.3142467Z Receiving objects:  69% (164/237)
2024-08-22T20:29:25.3143373Z Receiving objects:  70% (166/237)
2024-08-22T20:29:25.3144642Z Receiving objects:  71% (169/237)
2024-08-22T20:29:25.3145327Z Receiving objects:  72% (171/237)
2024-08-22T20:29:25.3146193Z Receiving objects:  73% (174/237)
2024-08-22T20:29:25.3146917Z Receiving objects:  74% (176/237)
2024-08-22T20:29:25.3150237Z Receiving objects:  75% (178/237)
2024-08-22T20:29:25.3151080Z Receiving objects:  76% (181/237)
2024-08-22T20:29:25.3151784Z Receiving objects:  77% (183/237)
2024-08-22T20:29:25.3152515Z Receiving objects:  78% (185/237)
2024-08-22T20:29:25.3154192Z Receiving objects:  79% (188/237)
2024-08-22T20:29:25.3156908Z Receiving objects:  80% (190/237)
2024-08-22T20:29:25.3158457Z Receiving objects:  81% (192/237)
2024-08-22T20:29:25.3159689Z Receiving objects:  82% (195/237)
2024-08-22T20:29:25.3164829Z Receiving objects:  83% (197/237)
2024-08-22T20:29:25.3166068Z Receiving objects:  84% (200/237)
2024-08-22T20:29:25.3167497Z remote: Total 237 (delta 16), reused 151 (delta 7), pack-reused 0 (from 0)        
2024-08-22T20:29:25.3168547Z Receiving objects:  85% (202/237)
2024-08-22T20:29:25.3169292Z Receiving objects:  86% (204/237)
2024-08-22T20:29:25.3170279Z Receiving objects:  87% (207/237)
2024-08-22T20:29:25.3170924Z Receiving objects:  88% (209/237)
2024-08-22T20:29:25.3175052Z Receiving objects:  89% (211/237)
2024-08-22T20:29:25.3175857Z Receiving objects:  90% (214/237)
2024-08-22T20:29:25.3176671Z Receiving objects:  91% (216/237)
2024-08-22T20:29:25.3177192Z Receiving objects:  92% (219/237)
2024-08-22T20:29:25.3178462Z Receiving objects:  93% (221/237)
2024-08-22T20:29:25.3179369Z Receiving objects:  94% (223/237)
2024-08-22T20:29:25.3180306Z Receiving objects:  95% (226/237)
2024-08-22T20:29:25.3183219Z Receiving objects:  96% (228/237)
2024-08-22T20:29:25.3183948Z Receiving objects:  97% (230/237)
2024-08-22T20:29:25.3184759Z Receiving objects:  98% (233/237)
2024-08-22T20:29:25.3185390Z Receiving objects:  99% (235/237)
2024-08-22T20:29:25.3186029Z Receiving objects: 100% (237/237)
2024-08-22T20:29:25.3187264Z Receiving objects: 100% (237/237), 488.09 KiB | 21.22 MiB/s, done.
2024-08-22T20:29:25.3188234Z Resolving deltas:   0% (0/16)
2024-08-22T20:29:25.3190690Z Resolving deltas:   6% (1/16)
2024-08-22T20:29:25.3191571Z Resolving deltas:  12% (2/16)
2024-08-22T20:29:25.3192259Z Resolving deltas:  18% (3/16)
2024-08-22T20:29:25.3192953Z Resolving deltas:  25% (4/16)
2024-08-22T20:29:25.3194721Z Resolving deltas:  31% (5/16)
2024-08-22T20:29:25.3195407Z Resolving deltas:  37% (6/16)
2024-08-22T20:29:25.3195966Z Resolving deltas:  43% (7/16)
2024-08-22T20:29:25.3196627Z Resolving deltas:  50% (8/16)
2024-08-22T20:29:25.3197332Z Resolving deltas:  56% (9/16)
2024-08-22T20:29:25.3197910Z Resolving deltas:  62% (10/16)
2024-08-22T20:29:25.3198519Z Resolving deltas:  68% (11/16)
2024-08-22T20:29:25.3199005Z Resolving deltas:  75% (12/16)
2024-08-22T20:29:25.3199434Z Resolving deltas:  81% (13/16)
2024-08-22T20:29:25.3200124Z Resolving deltas:  87% (14/16)
2024-08-22T20:29:25.3200754Z Resolving deltas:  93% (15/16)
2024-08-22T20:29:25.3201263Z Resolving deltas: 100% (16/16)
2024-08-22T20:29:25.3201794Z Resolving deltas: 100% (16/16), done.
2024-08-22T20:29:25.3295921Z From https://github.com/pytorch/torchchat
2024-08-22T20:29:25.3296883Z  * [new ref]         refs/pull/1044/merge -> pull/1044/merge
2024-08-22T20:29:25.3323679Z ##[endgroup]
2024-08-22T20:29:25.3324596Z ##[group]Determining the checkout info
2024-08-22T20:29:25.3328011Z ##[endgroup]
2024-08-22T20:29:25.3328935Z ##[group]Checking out the ref
2024-08-22T20:29:25.3331792Z [command]/usr/bin/git checkout --progress --force refs/remotes/pull/1044/merge
2024-08-22T20:29:25.3508645Z Note: switching to 'refs/remotes/pull/1044/merge'.
2024-08-22T20:29:25.3509180Z 
2024-08-22T20:29:25.3509692Z You are in 'detached HEAD' state. You can look around, make experimental
2024-08-22T20:29:25.3510666Z changes and commit them, and you can discard any commits you make in this
2024-08-22T20:29:25.3511662Z state without impacting any branches by switching back to a branch.
2024-08-22T20:29:25.3512389Z 
2024-08-22T20:29:25.3512931Z If you want to create a new branch to retain commits you create, you may
2024-08-22T20:29:25.3514392Z do so (now or later) by using -c with the switch command. Example:
2024-08-22T20:29:25.3515092Z 
2024-08-22T20:29:25.3515554Z   git switch -c <new-branch-name>
2024-08-22T20:29:25.3515993Z 
2024-08-22T20:29:25.3516315Z Or undo this operation with:
2024-08-22T20:29:25.3516842Z 
2024-08-22T20:29:25.3517073Z   git switch -
2024-08-22T20:29:25.3517441Z 
2024-08-22T20:29:25.3518010Z Turn off this advice by setting config variable advice.detachedHead to false
2024-08-22T20:29:25.3518767Z 
2024-08-22T20:29:25.3519610Z HEAD is now at 0e4d4b1 Merge c8dc18a48d66f51855d89294f3ca800692cd5dad into d5bb3c6659c8978a95c5141eb31e6e58f94af20a
2024-08-22T20:29:25.3522189Z ##[endgroup]
2024-08-22T20:29:25.3567316Z [command]/usr/bin/git log -1 --format='%H'
2024-08-22T20:29:25.3603688Z '0e4d4b184770ee5c0943c8ad43f2a1be7a2dd2c9'
2024-08-22T20:29:25.3823893Z Prepare all required actions
2024-08-22T20:29:25.3954664Z ##[group]Run ./test-infra/.github/actions/calculate-docker-image
2024-08-22T20:29:25.3955311Z with:
2024-08-22T20:29:25.3955823Z   docker-image-name: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:25.3956433Z   docker-build-dir: .ci/docker
2024-08-22T20:29:25.3956947Z   working-directory: pytorch/torchchat
2024-08-22T20:29:25.3957575Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-08-22T20:29:25.3958249Z   force-push: false
2024-08-22T20:29:25.3958604Z env:
2024-08-22T20:29:25.3959008Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:25.3959616Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:29:25.3960406Z   PR_NUMBER: 1044
2024-08-22T20:29:25.3965682Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:29:25.3971675Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:29:25.3972587Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:29:25.3973421Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:29:25.3974142Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-08-22T20:29:25.3974727Z ##[endgroup]
2024-08-22T20:29:25.4020140Z ##[group]Run set -ex
2024-08-22T20:29:25.4020671Z set -ex
2024-08-22T20:29:25.4021084Z 
2024-08-22T20:29:25.4021690Z # If the docker build directory or the build script doesn't exist, the action will
2024-08-22T20:29:25.4022768Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2024-08-22T20:29:25.4023676Z # job could then download the pre-built image as usual
2024-08-22T20:29:25.4024459Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/build.sh" ]]; then
2024-08-22T20:29:25.4025269Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2024-08-22T20:29:25.4026076Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2024-08-22T20:29:25.4026728Z 
2024-08-22T20:29:25.4027388Z   echo "There is no Docker build script in ${REPO_NAME} repo, skipping..."
2024-08-22T20:29:25.4028109Z   exit 0
2024-08-22T20:29:25.4028494Z else
2024-08-22T20:29:25.4028962Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2024-08-22T20:29:25.4029520Z fi
2024-08-22T20:29:25.4029881Z 
2024-08-22T20:29:25.4030457Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2024-08-22T20:29:25.4031377Z   # The docker image name already includes the ECR prefix and tag, so we can just
2024-08-22T20:29:25.4032234Z   # use it as it is, but first let's extract the tag
2024-08-22T20:29:25.4033048Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2024-08-22T20:29:25.4033928Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2024-08-22T20:29:25.4034903Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2024-08-22T20:29:25.4035620Z else
2024-08-22T20:29:25.4036111Z   DOCKER_TAG=$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2024-08-22T20:29:25.4036885Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2024-08-22T20:29:25.4037921Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2024-08-22T20:29:25.4038713Z fi
2024-08-22T20:29:25.4049513Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:29:25.4050118Z env:
2024-08-22T20:29:25.4050502Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:25.4051182Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:29:25.4051677Z   PR_NUMBER: 1044
2024-08-22T20:29:25.4056825Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:29:25.4063188Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:29:25.4064128Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:29:25.4064911Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:29:25.4065646Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-08-22T20:29:25.4066279Z   REPO_NAME: torchchat
2024-08-22T20:29:25.4066762Z   DOCKER_IMAGE_NAME: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:25.4067354Z   DOCKER_BUILD_DIR: .ci/docker
2024-08-22T20:29:25.4068094Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-08-22T20:29:25.4068695Z ##[endgroup]
2024-08-22T20:29:25.4106782Z + [[ ! -d .ci/docker ]]
2024-08-22T20:29:25.4107327Z + echo skip=true
2024-08-22T20:29:25.4107908Z + echo docker-image=pytorch/conda-builder:cuda12.1
2024-08-22T20:29:25.4108776Z + echo 'There is no Docker build script in torchchat repo, skipping...'
2024-08-22T20:29:25.4109777Z + exit 0
2024-08-22T20:29:25.4110395Z There is no Docker build script in torchchat repo, skipping...
2024-08-22T20:29:25.4231026Z Prepare all required actions
2024-08-22T20:29:25.4275058Z ##[group]Run ./test-infra/.github/actions/pull-docker-image
2024-08-22T20:29:25.4275724Z with:
2024-08-22T20:29:25.4276162Z   docker-image: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:25.4276829Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-08-22T20:29:25.4277463Z env:
2024-08-22T20:29:25.4277888Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:25.4278428Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:29:25.4278912Z   PR_NUMBER: 1044
2024-08-22T20:29:25.4284112Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:29:25.4289881Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:29:25.4290703Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:29:25.4291583Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:29:25.4292332Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-08-22T20:29:25.4292862Z ##[endgroup]
2024-08-22T20:29:25.4316727Z ##[group]Run set -x
2024-08-22T20:29:25.4317220Z set -x
2024-08-22T20:29:25.4317630Z set +e
2024-08-22T20:29:25.4317970Z 
2024-08-22T20:29:25.4318439Z login() {
2024-08-22T20:29:25.4319190Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2024-08-22T20:29:25.4320112Z }
2024-08-22T20:29:25.4320550Z 
2024-08-22T20:29:25.4320931Z retry () {
2024-08-22T20:29:25.4321368Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2024-08-22T20:29:25.4321947Z }
2024-08-22T20:29:25.4322328Z 
2024-08-22T20:29:25.4322690Z retry login "${DOCKER_REGISTRY}"
2024-08-22T20:29:25.4323264Z 
2024-08-22T20:29:25.4323623Z set -e
2024-08-22T20:29:25.4324193Z # ignore output since only exit code is used for conditional
2024-08-22T20:29:25.4325050Z # only pull docker image if it's not available locally
2024-08-22T20:29:25.4325888Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2024-08-22T20:29:25.4326611Z   retry docker pull "${DOCKER_IMAGE}"
2024-08-22T20:29:25.4327226Z fi
2024-08-22T20:29:25.4335834Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:29:25.4336468Z env:
2024-08-22T20:29:25.4336876Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:29:25.4337476Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:29:25.4337974Z   PR_NUMBER: 1044
2024-08-22T20:29:25.4343366Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:29:25.4349083Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:29:25.4349897Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:29:25.4350726Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:29:25.4351476Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-08-22T20:29:25.4352133Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-08-22T20:29:25.4352748Z ##[endgroup]
2024-08-22T20:29:25.4382371Z + set +e
2024-08-22T20:29:25.4382984Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-08-22T20:29:25.4383829Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-08-22T20:29:25.4385858Z + aws ecr get-login-password --region us-east-1
2024-08-22T20:29:25.4387946Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-08-22T20:29:25.9951777Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2024-08-22T20:29:25.9952701Z Configure a credential helper to remove this warning. See
2024-08-22T20:29:25.9953764Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2024-08-22T20:29:25.9954305Z 
2024-08-22T20:29:25.9954490Z Login Succeeded
2024-08-22T20:29:25.9974865Z + set -e
2024-08-22T20:29:25.9975550Z + docker inspect --type=image pytorch/conda-builder:cuda12.1
2024-08-22T20:29:26.0138887Z + retry docker pull pytorch/conda-builder:cuda12.1
2024-08-22T20:29:26.0139708Z + docker pull pytorch/conda-builder:cuda12.1
2024-08-22T20:29:26.1656160Z cuda12.1: Pulling from pytorch/conda-builder
2024-08-22T20:29:26.1657032Z 2d473b07cdd5: Pulling fs layer
2024-08-22T20:29:26.1657941Z 1feefa38b24d: Pulling fs layer
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2024-08-22T20:29:26.1667730Z 09ec69653086: Waiting
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2024-08-22T20:29:26.1672069Z fdb9230cd483: Pulling fs layer
2024-08-22T20:29:26.1672676Z 90d96273fa23: Waiting
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2024-08-22T20:29:26.1673594Z dc18f68db4d4: Pulling fs layer
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2024-08-22T20:29:26.1674602Z 21c4fd2610fc: Waiting
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2024-08-22T20:31:46.3524076Z Digest: sha256:9f128b503c8de2d2267228e5a5ddfd791872f8fe7e4630afeec3efb07d810e8b
2024-08-22T20:31:46.4004972Z Status: Downloaded newer image for pytorch/conda-builder:cuda12.1
2024-08-22T20:31:46.4247963Z docker.io/pytorch/conda-builder:cuda12.1
2024-08-22T20:31:46.4425547Z ##[group]Run set -ex
2024-08-22T20:31:46.4426012Z set -ex
2024-08-22T20:31:46.4426510Z {
2024-08-22T20:31:46.4426930Z   echo "#!/usr/bin/env bash";
2024-08-22T20:31:46.4427492Z   echo "set -eou pipefail";
2024-08-22T20:31:46.4428047Z   # shellcheck disable=SC2016
2024-08-22T20:31:46.4428621Z   echo 'eval "$(conda shell.bash hook)"';
2024-08-22T20:31:46.4429132Z   echo "set -x";
2024-08-22T20:31:46.4429642Z   echo "${SCRIPT}";
2024-08-22T20:31:46.4430125Z } > "${RUNNER_TEMP}/exec_script"
2024-08-22T20:31:46.4430645Z chmod +x "${RUNNER_TEMP}/exec_script"
2024-08-22T20:31:46.4431722Z python3 "/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/.github/scripts/run_with_env_secrets.py" ""
2024-08-22T20:31:46.4442354Z shell: /usr/bin/bash -e {0}
2024-08-22T20:31:46.4442802Z env:
2024-08-22T20:31:46.4443385Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:31:46.4444011Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:31:46.4444447Z   PR_NUMBER: 1044
2024-08-22T20:31:46.4449498Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:31:46.4455259Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:31:46.4456189Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:31:46.4456970Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:31:46.4457675Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-08-22T20:31:46.4458714Z   ALL_SECRETS: {
  "github_token": "***"
}
2024-08-22T20:31:46.4459288Z ##[endgroup]
2024-08-22T20:31:46.4496525Z + echo '#!/usr/bin/env bash'
2024-08-22T20:31:46.4497439Z + echo 'set -eou pipefail'
2024-08-22T20:31:46.4498031Z + echo 'eval "$(conda shell.bash hook)"'
2024-08-22T20:31:46.4498885Z + echo 'set -x'
2024-08-22T20:31:46.4501957Z + echo 'echo "::group::Print machine info"
2024-08-22T20:31:46.4502671Z nvidia-smi
2024-08-22T20:31:46.4503032Z echo "::endgroup::"
2024-08-22T20:31:46.4503325Z 
2024-08-22T20:31:46.4503749Z echo "::group::Install newer objcopy that supports --set-section-alignment"
2024-08-22T20:31:46.4505893Z yum install -y  devtoolset-10-binutils
2024-08-22T20:31:46.4506607Z export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
2024-08-22T20:31:46.4507701Z echo "::endgroup::"
2024-08-22T20:31:46.4507934Z 
2024-08-22T20:31:46.4508582Z echo "::group::Install required packages"
2024-08-22T20:31:46.4509206Z ./install_requirements.sh cuda
2024-08-22T20:31:46.4509875Z pip3 list
2024-08-22T20:31:46.4510651Z python3 -c '\''import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'\''
2024-08-22T20:31:46.4511793Z echo "::endgroup::"
2024-08-22T20:31:46.4512026Z 
2024-08-22T20:31:46.4512217Z echo "::group::Download checkpoint"
2024-08-22T20:31:46.4512732Z export REPO_NAME=tinyllamas/stories15M
2024-08-22T20:31:46.4514613Z bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
2024-08-22T20:31:46.4516323Z echo "::endgroup::"
2024-08-22T20:31:46.4516547Z 
2024-08-22T20:31:46.4516744Z echo "::group::Convert checkpoint"
2024-08-22T20:31:46.4517359Z bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
2024-08-22T20:31:46.4517912Z echo "::endgroup::"
2024-08-22T20:31:46.4518158Z 
2024-08-22T20:31:46.4518321Z echo "::group::Run inference"
2024-08-22T20:31:46.4519185Z bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
2024-08-22T20:31:46.4519941Z echo "::endgroup::"
2024-08-22T20:31:46.4520339Z '
2024-08-22T20:31:46.4521005Z + chmod +x /home/ec2-user/actions-runner/_work/_temp/exec_script
2024-08-22T20:31:46.4522167Z + python3 /home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/.github/scripts/run_with_env_secrets.py ''
2024-08-22T20:32:27.6732756Z Running command: 
2024-08-22T20:32:27.6740337Z         docker run             -e PR_NUMBER             -e RUNNER_ARTIFACT_DIR=/artifacts             -e RUNNER_DOCS_DIR=/docs             -e RUNNER_TEST_RESULTS_DIR=/test-results             --env-file="/home/ec2-user/actions-runner/_work/_temp/github_env_10515112133"             `# It is unknown why the container sees a different value for this.`             -e GITHUB_STEP_SUMMARY             -e SECRET_GITHUB_TOKEN             --cap-add=SYS_PTRACE             --detach             --ipc=host             --security-opt seccomp=unconfined             --shm-size=2g             --tty             --ulimit stack=10485760:83886080             --ulimit core=0             --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all             -v "/home/ec2-user/actions-runner/_work/torchchat/torchchat/pytorch/torchchat:/pytorch/torchchat"             -v "/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra:/test-infra"             -v "/home/ec2-user/actions-runner/_work/_temp/artifacts:/artifacts"             -v "/home/ec2-user/actions-runner/_work/_temp/docs:/docs"             -v "/home/ec2-user/actions-runner/_work/_temp/test-results:/test-results"             -v "/home/ec2-user/actions-runner/_work/_temp/exec_script:/exec"             -v "/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_ad37bb42-10ec-4126-b7e8-1fb87480a768":"/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_ad37bb42-10ec-4126-b7e8-1fb87480a768"             -w /pytorch/torchchat             "pytorch/conda-builder:cuda12.1"
2024-08-22T20:32:27.6748560Z         
2024-08-22T20:32:27.6749103Z d5bca2104d839c2de9fef3072670d82269915f6ff750a5f92dcdf76de49dbe7b
2024-08-22T20:32:27.6750552Z Running command: docker exec -t d5bca2104d839c2de9fef3072670d82269915f6ff750a5f92dcdf76de49dbe7b /exec
2024-08-22T20:32:27.6751816Z + echo '::group::Print machine info'
2024-08-22T20:32:27.6753474Z ##[group]Print machine info
2024-08-22T20:32:27.6754196Z + nvidia-smi
2024-08-22T20:32:27.6755535Z Thu Aug 22 20:32:22 2024       
2024-08-22T20:32:27.6756311Z +-----------------------------------------------------------------------------------------+
2024-08-22T20:32:27.6757537Z | NVIDIA-SMI 550.54.15              Driver Version: 550.54.15      CUDA Version: 12.4     |
2024-08-22T20:32:27.6758431Z |-----------------------------------------+------------------------+----------------------+
2024-08-22T20:32:27.6759526Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2024-08-22T20:32:27.6761500Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2024-08-22T20:32:27.6762424Z |                                         |                        |               MIG M. |
2024-08-22T20:32:27.6763938Z |=========================================+========================+======================|
2024-08-22T20:32:27.6765037Z |   0  NVIDIA A10G                    On  |   00000000:00:1E.0 Off |                    0 |
2024-08-22T20:32:27.6767704Z |  0%   28C    P8              9W /  300W |       0MiB /  23028MiB |      0%      Default |
2024-08-22T20:32:27.6769000Z |                                         |                        |                  N/A |
2024-08-22T20:32:27.6770148Z +-----------------------------------------+------------------------+----------------------+
2024-08-22T20:32:27.6771082Z                                                                                          
2024-08-22T20:32:27.6772148Z +-----------------------------------------------------------------------------------------+
2024-08-22T20:32:27.6773111Z | Processes:                                                                              |
2024-08-22T20:32:27.6774103Z |  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
2024-08-22T20:32:27.6774927Z |        ID   ID                                                               Usage      |
2024-08-22T20:32:27.6775607Z |=========================================================================================|
2024-08-22T20:32:27.6776341Z |  No running processes found                                                             |
2024-08-22T20:32:27.6777285Z +-----------------------------------------------------------------------------------------+
2024-08-22T20:32:27.6777856Z + echo ::endgroup::
2024-08-22T20:32:27.6778560Z ##[endgroup]
2024-08-22T20:32:27.6779487Z + echo '::group::Install newer objcopy that supports --set-section-alignment'
2024-08-22T20:32:27.6780790Z ##[group]Install newer objcopy that supports --set-section-alignment
2024-08-22T20:32:27.6781654Z + yum install -y devtoolset-10-binutils
2024-08-22T20:32:27.6782150Z Loaded plugins: fastestmirror, ovl
2024-08-22T20:32:27.6782684Z Loading mirror speeds from cached hostfile
2024-08-22T20:32:27.6783047Z 
2024-08-22T20:32:27.6783445Z epel/x86_64/metalink                                     | 5.1 kB     00:00     
2024-08-22T20:32:27.6784086Z  * epel: d2lzkl7pfhq30w.cloudfront.net
2024-08-22T20:32:27.6784445Z 
2024-08-22T20:32:27.6784691Z base                                                     | 3.6 kB     00:00     
2024-08-22T20:32:27.6785107Z 
2024-08-22T20:32:27.6785566Z centos-sclo-rh                                           | 3.0 kB     00:00     
2024-08-22T20:32:27.6786001Z 
2024-08-22T20:32:27.6786410Z centos-sclo-sclo                                         | 3.0 kB     00:00     
2024-08-22T20:32:27.6786853Z 
2024-08-22T20:32:27.6787123Z extras                                                   | 2.9 kB     00:00     
2024-08-22T20:32:27.6787614Z 
2024-08-22T20:32:27.6787863Z updates                                                  | 2.9 kB     00:00     
2024-08-22T20:32:27.6788454Z Resolving Dependencies
2024-08-22T20:32:27.6788924Z --> Running transaction check
2024-08-22T20:32:27.6789690Z ---> Package devtoolset-10-binutils.x86_64 0:2.35-5.el7.4 will be installed
2024-08-22T20:32:27.6790804Z --> Processing Dependency: devtoolset-10-runtime for package: devtoolset-10-binutils-2.35-5.el7.4.x86_64
2024-08-22T20:32:27.6791675Z --> Running transaction check
2024-08-22T20:32:27.6792423Z ---> Package devtoolset-10-runtime.x86_64 0:10.1-0.el7 will be installed
2024-08-22T20:32:27.6793139Z --> Finished Dependency Resolution
2024-08-22T20:32:27.6793461Z 
2024-08-22T20:32:27.6793648Z Dependencies Resolved
2024-08-22T20:32:27.6793934Z 
2024-08-22T20:32:27.6794145Z ================================================================================
2024-08-22T20:32:27.6794843Z  Package                   Arch      Version            Repository         Size
2024-08-22T20:32:27.6795510Z ================================================================================
2024-08-22T20:32:27.6796178Z Installing:
2024-08-22T20:32:27.6796884Z  devtoolset-10-binutils    x86_64    2.35-5.el7.4       centos-sclo-rh    6.3 M
2024-08-22T20:32:27.6797570Z Installing for dependencies:
2024-08-22T20:32:27.6798393Z  devtoolset-10-runtime     x86_64    10.1-0.el7         centos-sclo-rh     19 k
2024-08-22T20:32:27.6798998Z 
2024-08-22T20:32:27.6799259Z Transaction Summary
2024-08-22T20:32:27.6799737Z ================================================================================
2024-08-22T20:32:27.6800415Z Install  1 Package (+1 Dependent package)
2024-08-22T20:32:27.6800752Z 
2024-08-22T20:32:27.6800914Z Total download size: 6.3 M
2024-08-22T20:32:27.6801356Z Installed size: 25 M
2024-08-22T20:32:27.6801854Z Downloading packages:
2024-08-22T20:32:27.6802093Z 
2024-08-22T20:32:27.6802566Z (1/2): devtoolset-10-binutils-2.35-5.el7.4.x86_64.rpm      | 6.3 MB   00:00     
2024-08-22T20:32:27.6803126Z 
2024-08-22T20:32:27.6803569Z (2/2): devtoolset-10-runtime-10.1-0.el7.x86_64.rpm         |  19 kB   00:00     
2024-08-22T20:32:27.6804506Z --------------------------------------------------------------------------------
2024-08-22T20:32:27.6805178Z Total                                               26 MB/s | 6.3 MB  00:00     
2024-08-22T20:32:27.6805745Z Running transaction check
2024-08-22T20:32:27.6806254Z Running transaction test
2024-08-22T20:32:27.6806697Z Transaction test succeeded
2024-08-22T20:32:27.6807122Z Running transaction
2024-08-22T20:32:27.6807450Z 
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2024-08-22T20:32:29.9535868Z   Installing : devtoolset-10-runtime-10.1-0.el7.x86_64                      1/2 
2024-08-22T20:32:29.9537179Z ValueError: SELinux policy is not managed or store cannot be accessed.
2024-08-22T20:32:29.9537988Z 
2024-08-22T20:32:29.9538473Z   Installing : devtoolset-10-binutils-2.35- [                             ] 2/2
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2024-08-22T20:32:29.9566410Z   Installing : devtoolset-10-binutils-2.35-5.el7.4.x86_64                   2/2 
2024-08-22T20:32:29.9567487Z install-info: No such file or directory for /opt/rh/devtoolset-10/root/usr/share/info/as.info.gz
2024-08-22T20:32:29.9568994Z install-info: No such file or directory for /opt/rh/devtoolset-10/root/usr/share/info/binutils.info.gz
2024-08-22T20:32:29.9570260Z install-info: No such file or directory for /opt/rh/devtoolset-10/root/usr/share/info/gprof.info.gz
2024-08-22T20:32:29.9571558Z install-info: No such file or directory for /opt/rh/devtoolset-10/root/usr/share/info/ld.info.gz
2024-08-22T20:32:29.9572747Z install-info: No such file or directory for /opt/rh/devtoolset-10/root/usr/share/info/standards.info.gz
2024-08-22T20:32:29.9573378Z 
2024-08-22T20:32:29.9573951Z   Verifying  : devtoolset-10-runtime-10.1-0.el7.x86_64                      1/2 
2024-08-22T20:32:29.9574460Z 
2024-08-22T20:32:29.9574928Z   Verifying  : devtoolset-10-binutils-2.35-5.el7.4.x86_64                   2/2 
2024-08-22T20:32:29.9575444Z 
2024-08-22T20:32:29.9575586Z Installed:
2024-08-22T20:32:29.9576309Z   devtoolset-10-binutils.x86_64 0:2.35-5.el7.4                                  
2024-08-22T20:32:29.9576810Z 
2024-08-22T20:32:29.9576999Z Dependency Installed:
2024-08-22T20:32:29.9577674Z   devtoolset-10-runtime.x86_64 0:10.1-0.el7                                     
2024-08-22T20:32:29.9578275Z 
2024-08-22T20:32:29.9578417Z Complete!
2024-08-22T20:32:29.9580007Z + export PATH=/opt/rh/devtoolset-10/root/usr/bin/:/opt/conda/bin:/opt/conda/condabin:/opt/conda/bin:/usr/local/cuda-12.1/bin:/opt/rh/devtoolset-9/root/usr/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2024-08-22T20:32:29.9582473Z + PATH=/opt/rh/devtoolset-10/root/usr/bin/:/opt/conda/bin:/opt/conda/condabin:/opt/conda/bin:/usr/local/cuda-12.1/bin:/opt/rh/devtoolset-9/root/usr/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2024-08-22T20:32:29.9583918Z + echo ::endgroup::
2024-08-22T20:32:29.9584739Z ##[endgroup]
2024-08-22T20:32:29.9585379Z + echo '::group::Install required packages'
2024-08-22T20:32:29.9586174Z ##[group]Install required packages
2024-08-22T20:32:29.9586696Z + ./install_requirements.sh cuda
2024-08-22T20:32:29.9587615Z + pip3 install -r requirements.txt --extra-index-url https://download.pytorch.org/whl/nightly/cu121
2024-08-22T20:32:29.9588710Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cu121
2024-08-22T20:32:29.9589761Z Ignoring tomli: markers 'python_version < "3.11"' don't match your environment
2024-08-22T20:32:29.9590660Z Collecting huggingface_hub (from -r requirements.txt (line 4))
2024-08-22T20:32:29.9591464Z   Downloading huggingface_hub-0.24.6-py3-none-any.whl (417 kB)
2024-08-22T20:32:29.9593048Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/417.5 kB ? eta -:--:--
2024-08-22T20:32:29.9594194Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 417.5/417.5 kB 17.0 MB/s eta 0:00:00
2024-08-22T20:32:29.9595044Z [?25hCollecting gguf (from -r requirements.txt (line 7))
2024-08-22T20:32:29.9595806Z   Downloading gguf-0.9.1-py3-none-any.whl (49 kB)
2024-08-22T20:32:29.9596730Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/49.1 kB ? eta -:--:--
2024-08-22T20:32:29.9597769Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 49.1/49.1 kB 16.3 MB/s eta 0:00:00
2024-08-22T20:32:29.9598736Z [?25hCollecting tiktoken (from -r requirements.txt (line 10))
2024-08-22T20:32:29.9599813Z   Downloading tiktoken-0.7.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB)
2024-08-22T20:32:29.9600897Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/1.1 MB ? eta -:--:--
2024-08-22T20:32:29.9601918Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 68.9 MB/s eta 0:00:00
2024-08-22T20:32:29.9602857Z [?25hCollecting snakeviz (from -r requirements.txt (line 13))
2024-08-22T20:32:29.9603658Z   Downloading snakeviz-2.2.0-py2.py3-none-any.whl (283 kB)
2024-08-22T20:32:29.9604529Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/283.7 kB ? eta -:--:--
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2024-08-22T20:32:29.9606738Z [?25hCollecting sentencepiece (from -r requirements.txt (line 14))
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2024-08-22T20:32:37.8790856Z [?25hCollecting sqlitedict (from lm-eval==0.4.2->-r requirements.txt (line 17))
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2024-08-22T20:32:37.8793206Z [?25hCollecting torch>=1.8 (from lm-eval==0.4.2->-r requirements.txt (line 17))
2024-08-22T20:32:37.8794112Z   Downloading torch-2.4.0-cp311-cp311-manylinux1_x86_64.whl (797.3 MB)
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2024-08-22T20:32:40.5170485Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 484.7/797.3 MB 233.6 MB/s eta 0:00:02
2024-08-22T20:32:40.5171886Z      ━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━ 492.8/797.3 MB 232.7 MB/s eta 0:00:02
2024-08-22T20:32:40.5173037Z      ━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 500.9/797.3 MB 234.7 MB/s eta 0:00:02
2024-08-22T20:32:40.5174438Z      ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 509.0/797.3 MB 234.3 MB/s eta 0:00:02
2024-08-22T20:32:40.5175627Z      ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 517.1/797.3 MB 235.4 MB/s eta 0:00:02
2024-08-22T20:32:40.5176865Z      ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 525.2/797.3 MB 235.6 MB/s eta 0:00:02
2024-08-22T20:32:40.5178036Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 533.3/797.3 MB 235.0 MB/s eta 0:00:02
2024-08-22T20:32:40.5179346Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 541.3/797.3 MB 233.9 MB/s eta 0:00:02
2024-08-22T20:32:40.5180581Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 549.4/797.3 MB 234.0 MB/s eta 0:00:02
2024-08-22T20:32:40.5181850Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 557.5/797.3 MB 235.1 MB/s eta 0:00:02
2024-08-22T20:32:40.5182987Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 565.5/797.3 MB 232.5 MB/s eta 0:00:01
2024-08-22T20:32:40.5184225Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 573.6/797.3 MB 234.7 MB/s eta 0:00:01
2024-08-22T20:32:40.5185390Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 581.7/797.3 MB 234.8 MB/s eta 0:00:01
2024-08-22T20:32:40.5186556Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 589.8/797.3 MB 233.5 MB/s eta 0:00:01
2024-08-22T20:32:40.5187847Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 597.7/797.3 MB 232.0 MB/s eta 0:00:01
2024-08-22T20:32:40.5189020Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 605.7/797.3 MB 232.6 MB/s eta 0:00:01
2024-08-22T20:32:40.5190199Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 613.8/797.3 MB 232.9 MB/s eta 0:00:01
2024-08-22T20:32:40.5191445Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 621.9/797.3 MB 235.1 MB/s eta 0:00:01
2024-08-22T20:32:40.5192568Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━ 629.9/797.3 MB 232.9 MB/s eta 0:00:01
2024-08-22T20:32:40.5193739Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 638.1/797.3 MB 235.7 MB/s eta 0:00:01
2024-08-22T20:32:40.5195067Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 646.1/797.3 MB 233.7 MB/s eta 0:00:01
2024-08-22T20:32:40.5196348Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 654.1/797.3 MB 232.9 MB/s eta 0:00:01
2024-08-22T20:32:40.5197475Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 662.2/797.3 MB 234.8 MB/s eta 0:00:01
2024-08-22T20:32:40.5198692Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 670.3/797.3 MB 234.5 MB/s eta 0:00:01
2024-08-22T20:32:40.5199877Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 678.5/797.3 MB 236.4 MB/s eta 0:00:01
2024-08-22T20:32:40.5200998Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 686.7/797.3 MB 237.6 MB/s eta 0:00:01
2024-08-22T20:32:40.5202235Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 694.9/797.3 MB 237.2 MB/s eta 0:00:01
2024-08-22T20:32:40.5203432Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 703.1/797.3 MB 237.2 MB/s eta 0:00:01
2024-08-22T20:32:40.5204587Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 711.1/797.3 MB 234.4 MB/s eta 0:00:01
2024-08-22T20:32:40.5205776Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 719.3/797.3 MB 236.3 MB/s eta 0:00:01
2024-08-22T20:32:40.5206953Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 727.4/797.3 MB 235.4 MB/s eta 0:00:01
2024-08-22T20:32:40.5208105Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 735.5/797.3 MB 235.0 MB/s eta 0:00:01
2024-08-22T20:32:40.5209362Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 743.7/797.3 MB 236.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3831771Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 751.8/797.3 MB 235.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3833459Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 759.9/797.3 MB 235.2 MB/s eta 0:00:01
2024-08-22T20:32:42.3834784Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 767.9/797.3 MB 234.2 MB/s eta 0:00:01
2024-08-22T20:32:42.3835976Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 776.0/797.3 MB 234.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3837105Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 784.2/797.3 MB 235.9 MB/s eta 0:00:01
2024-08-22T20:32:42.3838508Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 792.3/797.3 MB 237.0 MB/s eta 0:00:01
2024-08-22T20:32:42.3840239Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3841407Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3842569Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3843739Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3844806Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3845983Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3847078Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3848168Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3849306Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3850400Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3851581Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3852648Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3853763Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3854933Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3856023Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3857134Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3858268Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3859457Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3861033Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3862150Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3863438Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3864532Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3865687Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3866748Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3867835Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3869015Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3870122Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3871195Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3872358Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3873437Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:42.3874478Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
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2024-08-22T20:32:43.7638863Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
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2024-08-22T20:32:43.7641796Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
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2024-08-22T20:32:43.7646383Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:43.7647517Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:43.7648643Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:43.7649737Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:43.7650845Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:43.7652021Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:43.7653068Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:43.7654160Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:43.7655322Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
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2024-08-22T20:32:43.7657466Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:43.7659001Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:43.7660742Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:43.7661820Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:43.7662989Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:43.7664108Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:43.7665242Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
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2024-08-22T20:32:43.7670699Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
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2024-08-22T20:32:43.7674138Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:43.7675260Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:43.7676361Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
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2024-08-22T20:32:45.1445619Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
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2024-08-22T20:32:45.1476199Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
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2024-08-22T20:32:45.1483068Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:45.1484151Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:45.1485199Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:45.1486386Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
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2024-08-22T20:32:45.1489735Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:45.1490825Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:45.1491927Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5235100Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5236611Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5238281Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5239412Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5240535Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5241730Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5242833Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5244189Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5245303Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5246552Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5247658Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5248759Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5249870Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5250972Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5252147Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5253290Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5254381Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5255532Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5256654Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5257713Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5259026Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:32:46.5261300Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
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2024-08-22T20:32:46.5263639Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
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2024-08-22T20:32:46.5269595Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
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2024-08-22T20:32:46.5276331Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
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2024-08-22T20:32:48.7931345Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 797.3/797.3 MB 242.7 MB/s eta 0:00:01
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2024-08-22T20:32:57.8169672Z      ╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 16.9/664.8 MB 247.8 MB/s eta 0:00:03
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2024-08-22T20:32:57.8172099Z      ━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 33.9/664.8 MB 246.2 MB/s eta 0:00:03
2024-08-22T20:32:57.8173363Z      ━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 42.4/664.8 MB 245.5 MB/s eta 0:00:03
2024-08-22T20:32:57.8174536Z      ━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.8/664.8 MB 243.6 MB/s eta 0:00:03
2024-08-22T20:32:57.8175736Z      ━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 59.2/664.8 MB 244.9 MB/s eta 0:00:03
2024-08-22T20:32:57.8176984Z      ━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 67.7/664.8 MB 245.3 MB/s eta 0:00:03
2024-08-22T20:32:57.8178165Z      ━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 76.2/664.8 MB 245.0 MB/s eta 0:00:03
2024-08-22T20:32:57.8179395Z      ━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 84.6/664.8 MB 243.9 MB/s eta 0:00:03
2024-08-22T20:32:57.8180653Z      ━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 93.0/664.8 MB 244.0 MB/s eta 0:00:03
2024-08-22T20:32:57.8181854Z      ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 101.5/664.8 MB 244.9 MB/s eta 0:00:03
2024-08-22T20:32:57.8183051Z      ━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 109.9/664.8 MB 244.0 MB/s eta 0:00:03
2024-08-22T20:32:57.8184279Z      ━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 118.3/664.8 MB 242.4 MB/s eta 0:00:03
2024-08-22T20:32:57.8185461Z      ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 126.7/664.8 MB 244.3 MB/s eta 0:00:03
2024-08-22T20:32:57.8186666Z      ━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 135.2/664.8 MB 244.3 MB/s eta 0:00:03
2024-08-22T20:32:57.8187890Z      ━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 143.6/664.8 MB 244.0 MB/s eta 0:00:03
2024-08-22T20:32:57.8189152Z      ━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 152.1/664.8 MB 245.7 MB/s eta 0:00:03
2024-08-22T20:32:57.8190443Z      ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 160.5/664.8 MB 243.7 MB/s eta 0:00:03
2024-08-22T20:32:57.8191687Z      ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━ 168.9/664.8 MB 245.4 MB/s eta 0:00:03
2024-08-22T20:32:57.8192887Z      ━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 177.4/664.8 MB 244.9 MB/s eta 0:00:02
2024-08-22T20:32:57.8194035Z      ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 185.8/664.8 MB 244.1 MB/s eta 0:00:02
2024-08-22T20:32:57.8195272Z      ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━ 194.2/664.8 MB 244.0 MB/s eta 0:00:02
2024-08-22T20:32:57.8196487Z      ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━ 202.7/664.8 MB 245.0 MB/s eta 0:00:02
2024-08-22T20:32:57.8197680Z      ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━ 211.2/664.8 MB 244.9 MB/s eta 0:00:02
2024-08-22T20:32:57.8198876Z      ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━ 219.7/664.8 MB 246.4 MB/s eta 0:00:02
2024-08-22T20:32:57.8200078Z      ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━ 228.1/664.8 MB 245.5 MB/s eta 0:00:02
2024-08-22T20:32:57.8201257Z      ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━ 236.6/664.8 MB 244.3 MB/s eta 0:00:02
2024-08-22T20:32:57.8202510Z      ━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 245.0/664.8 MB 244.0 MB/s eta 0:00:02
2024-08-22T20:32:57.8203678Z      ━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 253.6/664.8 MB 247.3 MB/s eta 0:00:02
2024-08-22T20:32:57.8204853Z      ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 262.0/664.8 MB 245.5 MB/s eta 0:00:02
2024-08-22T20:32:59.1364689Z      ━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 270.4/664.8 MB 245.2 MB/s eta 0:00:02
2024-08-22T20:32:59.1366309Z      ━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 278.9/664.8 MB 245.6 MB/s eta 0:00:02
2024-08-22T20:32:59.1367968Z      ━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 287.4/664.8 MB 245.1 MB/s eta 0:00:02
2024-08-22T20:32:59.1369283Z      ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 295.8/664.8 MB 244.2 MB/s eta 0:00:02
2024-08-22T20:32:59.1370720Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 304.3/664.8 MB 245.3 MB/s eta 0:00:02
2024-08-22T20:32:59.1372009Z      ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 312.8/664.8 MB 245.3 MB/s eta 0:00:02
2024-08-22T20:32:59.1373414Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 321.2/664.8 MB 243.5 MB/s eta 0:00:02
2024-08-22T20:32:59.1374558Z      ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━ 329.6/664.8 MB 244.6 MB/s eta 0:00:02
2024-08-22T20:32:59.1375788Z      ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━ 338.0/664.8 MB 244.8 MB/s eta 0:00:02
2024-08-22T20:32:59.1376983Z      ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 346.5/664.8 MB 245.0 MB/s eta 0:00:02
2024-08-22T20:32:59.1378231Z      ━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━ 354.9/664.8 MB 244.1 MB/s eta 0:00:02
2024-08-22T20:32:59.1379434Z      ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━ 363.3/664.8 MB 243.4 MB/s eta 0:00:02
2024-08-22T20:32:59.1380646Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 371.7/664.8 MB 242.9 MB/s eta 0:00:02
2024-08-22T20:32:59.1381869Z      ━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 380.1/664.8 MB 243.0 MB/s eta 0:00:02
2024-08-22T20:32:59.1383023Z      ━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━ 388.5/664.8 MB 243.8 MB/s eta 0:00:02
2024-08-22T20:32:59.1384163Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 397.0/664.8 MB 246.6 MB/s eta 0:00:02
2024-08-22T20:32:59.1385353Z      ━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━ 405.5/664.8 MB 244.8 MB/s eta 0:00:02
2024-08-22T20:32:59.1386554Z      ━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 414.0/664.8 MB 245.7 MB/s eta 0:00:02
2024-08-22T20:32:59.1387866Z      ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 422.5/664.8 MB 245.9 MB/s eta 0:00:01
2024-08-22T20:32:59.1389041Z      ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 431.0/664.8 MB 246.4 MB/s eta 0:00:01
2024-08-22T20:32:59.1390213Z      ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 439.4/664.8 MB 244.8 MB/s eta 0:00:01
2024-08-22T20:32:59.1391360Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 447.9/664.8 MB 247.0 MB/s eta 0:00:01
2024-08-22T20:32:59.1392582Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 456.4/664.8 MB 245.6 MB/s eta 0:00:01
2024-08-22T20:32:59.1393803Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 464.8/664.8 MB 244.6 MB/s eta 0:00:01
2024-08-22T20:32:59.1394978Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 473.3/664.8 MB 246.2 MB/s eta 0:00:01
2024-08-22T20:32:59.1396214Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 481.8/664.8 MB 245.1 MB/s eta 0:00:01
2024-08-22T20:32:59.1397420Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 490.2/664.8 MB 244.6 MB/s eta 0:00:01
2024-08-22T20:32:59.1398557Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 498.7/664.8 MB 245.3 MB/s eta 0:00:01
2024-08-22T20:32:59.1399780Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 507.1/664.8 MB 245.2 MB/s eta 0:00:01
2024-08-22T20:32:59.1400994Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 515.5/664.8 MB 243.2 MB/s eta 0:00:01
2024-08-22T20:32:59.1402192Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━ 524.0/664.8 MB 244.6 MB/s eta 0:00:01
2024-08-22T20:32:59.1403378Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 532.5/664.8 MB 246.4 MB/s eta 0:00:01
2024-08-22T20:32:59.1404534Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 540.9/664.8 MB 245.3 MB/s eta 0:00:01
2024-08-22T20:32:59.1405711Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 549.4/664.8 MB 244.6 MB/s eta 0:00:01
2024-08-22T20:32:59.1406920Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 557.9/664.8 MB 246.6 MB/s eta 0:00:01
2024-08-22T20:32:59.1408146Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 566.4/664.8 MB 245.5 MB/s eta 0:00:01
2024-08-22T20:32:59.1409407Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 574.8/664.8 MB 245.1 MB/s eta 0:00:01
2024-08-22T20:32:59.1410620Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 583.3/664.8 MB 245.0 MB/s eta 0:00:01
2024-08-22T20:33:00.8913845Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 591.7/664.8 MB 245.1 MB/s eta 0:00:01
2024-08-22T20:33:00.8915491Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 600.2/664.8 MB 244.3 MB/s eta 0:00:01
2024-08-22T20:33:00.8917787Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 608.6/664.8 MB 242.5 MB/s eta 0:00:01
2024-08-22T20:33:00.8919334Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 617.0/664.8 MB 244.0 MB/s eta 0:00:01
2024-08-22T20:33:00.8921079Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 625.4/664.8 MB 244.6 MB/s eta 0:00:01
2024-08-22T20:33:00.8922477Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 633.9/664.8 MB 245.6 MB/s eta 0:00:01
2024-08-22T20:33:00.8923722Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 642.4/664.8 MB 245.8 MB/s eta 0:00:01
2024-08-22T20:33:00.8924837Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 650.8/664.8 MB 244.7 MB/s eta 0:00:01
2024-08-22T20:33:00.8926019Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 659.2/664.8 MB 245.2 MB/s eta 0:00:01
2024-08-22T20:33:00.8927186Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 664.8/664.8 MB 248.9 MB/s eta 0:00:01
2024-08-22T20:33:00.8928293Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 664.8/664.8 MB 248.9 MB/s eta 0:00:01
2024-08-22T20:33:00.8929454Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 664.8/664.8 MB 248.9 MB/s eta 0:00:01
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2024-08-22T20:33:00.8931649Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 664.8/664.8 MB 248.9 MB/s eta 0:00:01
2024-08-22T20:33:00.8932779Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 664.8/664.8 MB 248.9 MB/s eta 0:00:01
2024-08-22T20:33:00.8933824Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 664.8/664.8 MB 248.9 MB/s eta 0:00:01
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2024-08-22T20:33:00.8937682Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 664.8/664.8 MB 248.9 MB/s eta 0:00:01
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2024-08-22T20:33:00.8960761Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 664.8/664.8 MB 248.9 MB/s eta 0:00:01
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2024-08-22T20:33:06.8531563Z [?25hCollecting nvidia-cublas-cu12==12.1.3.1 (from torch>=1.8->lm-eval==0.4.2->-r requirements.txt (line 17))
2024-08-22T20:33:06.8532898Z   Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)
2024-08-22T20:33:06.8534092Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/410.6 MB ? eta -:--:--
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2024-08-22T20:33:06.8548486Z      ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 75.6/410.6 MB 56.0 MB/s eta 0:00:06
2024-08-22T20:33:06.8549559Z      ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 75.8/410.6 MB 47.4 MB/s eta 0:00:08
2024-08-22T20:33:06.8550647Z      ━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 80.4/410.6 MB 44.1 MB/s eta 0:00:08
2024-08-22T20:33:06.8551734Z      ━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 88.6/410.6 MB 233.5 MB/s eta 0:00:02
2024-08-22T20:33:06.8552809Z      ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 97.0/410.6 MB 242.1 MB/s eta 0:00:02
2024-08-22T20:33:06.8553887Z      ━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 105.6/410.6 MB 248.6 MB/s eta 0:00:02
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2024-08-22T20:33:06.8556044Z      ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━ 122.7/410.6 MB 247.9 MB/s eta 0:00:02
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2024-08-22T20:33:06.8560818Z      ━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 156.9/410.6 MB 247.2 MB/s eta 0:00:02
2024-08-22T20:33:06.8561905Z      ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 165.5/410.6 MB 248.3 MB/s eta 0:00:01
2024-08-22T20:33:06.8562982Z      ━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 174.1/410.6 MB 248.6 MB/s eta 0:00:01
2024-08-22T20:33:06.8564232Z      ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 182.7/410.6 MB 247.7 MB/s eta 0:00:01
2024-08-22T20:33:06.8565332Z      ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 191.2/410.6 MB 247.6 MB/s eta 0:00:01
2024-08-22T20:33:06.8566414Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 199.7/410.6 MB 247.3 MB/s eta 0:00:01
2024-08-22T20:33:08.4606840Z      ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━ 208.2/410.6 MB 246.1 MB/s eta 0:00:01
2024-08-22T20:33:08.4608405Z      ━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━ 216.8/410.6 MB 247.8 MB/s eta 0:00:01
2024-08-22T20:33:08.4609636Z      ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━ 225.4/410.6 MB 248.8 MB/s eta 0:00:01
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2024-08-22T20:33:08.4615035Z      ━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 259.7/410.6 MB 248.5 MB/s eta 0:00:01
2024-08-22T20:33:08.4616244Z      ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 268.2/410.6 MB 247.4 MB/s eta 0:00:01
2024-08-22T20:33:08.4617415Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 276.8/410.6 MB 248.7 MB/s eta 0:00:01
2024-08-22T20:33:08.4619151Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 285.3/410.6 MB 247.1 MB/s eta 0:00:01
2024-08-22T20:33:08.4620541Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 293.9/410.6 MB 248.2 MB/s eta 0:00:01
2024-08-22T20:33:08.4621752Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 302.5/410.6 MB 247.8 MB/s eta 0:00:01
2024-08-22T20:33:08.4622914Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 311.1/410.6 MB 248.6 MB/s eta 0:00:01
2024-08-22T20:33:08.4624140Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 319.6/410.6 MB 247.0 MB/s eta 0:00:01
2024-08-22T20:33:08.4625305Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 328.2/410.6 MB 248.9 MB/s eta 0:00:01
2024-08-22T20:33:08.4626512Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 336.7/410.6 MB 247.9 MB/s eta 0:00:01
2024-08-22T20:33:08.4627731Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 345.3/410.6 MB 248.0 MB/s eta 0:00:01
2024-08-22T20:33:08.4628894Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 353.8/410.6 MB 247.8 MB/s eta 0:00:01
2024-08-22T20:33:08.4630103Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 362.4/410.6 MB 248.9 MB/s eta 0:00:01
2024-08-22T20:33:08.4631286Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 371.0/410.6 MB 249.1 MB/s eta 0:00:01
2024-08-22T20:33:08.4632468Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 379.6/410.6 MB 248.4 MB/s eta 0:00:01
2024-08-22T20:33:08.4633697Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 388.1/410.6 MB 247.5 MB/s eta 0:00:01
2024-08-22T20:33:08.4634870Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 396.7/410.6 MB 247.9 MB/s eta 0:00:01
2024-08-22T20:33:08.4636039Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 405.2/410.6 MB 247.6 MB/s eta 0:00:01
2024-08-22T20:33:08.4637151Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 410.6/410.6 MB 251.1 MB/s eta 0:00:01
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2024-08-22T20:33:11.4912717Z [?25hCollecting nvidia-cufft-cu12==11.0.2.54 (from torch>=1.8->lm-eval==0.4.2->-r requirements.txt (line 17))
2024-08-22T20:33:11.4914075Z   Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)
2024-08-22T20:33:11.4915285Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/121.6 MB ? eta -:--:--
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2024-08-22T20:33:14.3159391Z [?25hCollecting nvidia-curand-cu12==10.3.2.106 (from torch>=1.8->lm-eval==0.4.2->-r requirements.txt (line 17))
2024-08-22T20:33:14.3161204Z   Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)
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2024-08-22T20:33:15.8194560Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.5/56.5 MB 12.1 MB/s eta 0:00:00
2024-08-22T20:33:15.8195764Z [?25hCollecting nvidia-cusolver-cu12==11.4.5.107 (from torch>=1.8->lm-eval==0.4.2->-r requirements.txt (line 17))
2024-08-22T20:33:15.8197519Z   Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)
2024-08-22T20:33:15.8198904Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/124.2 MB ? eta -:--:--
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2024-08-22T20:33:17.2455651Z [?25hCollecting nvidia-cusparse-cu12==12.1.0.106 (from torch>=1.8->lm-eval==0.4.2->-r requirements.txt (line 17))
2024-08-22T20:33:17.2457044Z   Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)
2024-08-22T20:33:17.2458260Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/196.0 MB ? eta -:--:--
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2024-08-22T20:33:21.6191359Z [?25hCollecting nvidia-nccl-cu12==2.20.5 (from torch>=1.8->lm-eval==0.4.2->-r requirements.txt (line 17))
2024-08-22T20:33:21.6192733Z   Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl (176.2 MB)
2024-08-22T20:33:21.6193916Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/176.2 MB ? eta -:--:--
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2024-08-22T20:33:21.6199341Z      ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 40.2/176.2 MB 236.9 MB/s eta 0:00:01
2024-08-22T20:33:21.6200439Z      ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.4/176.2 MB 238.0 MB/s eta 0:00:01
2024-08-22T20:33:21.6201536Z      ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━ 56.5/176.2 MB 235.9 MB/s eta 0:00:01
2024-08-22T20:33:21.6202663Z      ━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━ 64.6/176.2 MB 235.1 MB/s eta 0:00:01
2024-08-22T20:33:21.6203764Z      ━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 72.7/176.2 MB 236.6 MB/s eta 0:00:01
2024-08-22T20:33:21.6204843Z      ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 81.0/176.2 MB 238.8 MB/s eta 0:00:01
2024-08-22T20:33:21.6205926Z      ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━ 89.1/176.2 MB 237.7 MB/s eta 0:00:01
2024-08-22T20:33:21.6206995Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━ 97.3/176.2 MB 237.5 MB/s eta 0:00:01
2024-08-22T20:33:21.6208204Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 105.5/176.2 MB 237.0 MB/s eta 0:00:01
2024-08-22T20:33:21.6209377Z      ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 113.8/176.2 MB 239.4 MB/s eta 0:00:01
2024-08-22T20:33:21.6210450Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 122.0/176.2 MB 238.7 MB/s eta 0:00:01
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2024-08-22T20:33:21.6212591Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━ 138.5/176.2 MB 239.3 MB/s eta 0:00:01
2024-08-22T20:33:21.6213659Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 146.7/176.2 MB 238.8 MB/s eta 0:00:01
2024-08-22T20:33:21.6214750Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 154.9/176.2 MB 238.3 MB/s eta 0:00:01
2024-08-22T20:33:21.6215835Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 163.2/176.2 MB 239.5 MB/s eta 0:00:01
2024-08-22T20:33:21.6216906Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 171.4/176.2 MB 238.2 MB/s eta 0:00:01
2024-08-22T20:33:21.6217946Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 243.8 MB/s eta 0:00:01
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2024-08-22T20:33:21.6224044Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 243.8 MB/s eta 0:00:01
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2024-08-22T20:33:23.0032412Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 243.8 MB/s eta 0:00:01
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2024-08-22T20:33:23.0035597Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 176.2/176.2 MB 8.8 MB/s eta 0:00:00
2024-08-22T20:33:23.0036688Z [?25hCollecting nvidia-nvtx-cu12==12.1.105 (from torch>=1.8->lm-eval==0.4.2->-r requirements.txt (line 17))
2024-08-22T20:33:23.0038003Z   Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)
2024-08-22T20:33:23.0039183Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/99.1 kB ? eta -:--:--
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2024-08-22T20:33:23.0041108Z [?25hCollecting triton==3.0.0 (from torch>=1.8->lm-eval==0.4.2->-r requirements.txt (line 17))
2024-08-22T20:33:23.0042188Z   Downloading triton-3.0.0-1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (209.4 MB)
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2024-08-22T20:33:24.8137587Z [?25hCollecting nvidia-nvjitlink-cu12 (from nvidia-cusolver-cu12==11.4.5.107->torch>=1.8->lm-eval==0.4.2->-r requirements.txt (line 17))
2024-08-22T20:33:34.2176224Z   Downloading nvidia_nvjitlink_cu12-12.6.20-py3-none-manylinux2014_x86_64.whl (19.7 MB)
2024-08-22T20:33:34.2177616Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/19.7 MB ? eta -:--:--
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2024-08-22T20:33:34.2184754Z [?25hCollecting tokenizers<0.20,>=0.19 (from transformers>=4.1->lm-eval==0.4.2->-r requirements.txt (line 17))
2024-08-22T20:33:34.2186028Z   Downloading tokenizers-0.19.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB)
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2024-08-22T20:33:34.2191336Z [?25hRequirement already satisfied: attrs>=19.2.0 in /opt/conda/lib/python3.11/site-packages (from jsonlines->lm-eval==0.4.2->-r requirements.txt (line 17)) (23.1.0)
2024-08-22T20:33:34.2193267Z Requirement already satisfied: setuptools>=38.3.0 in /opt/conda/lib/python3.11/site-packages (from pytablewriter->lm-eval==0.4.2->-r requirements.txt (line 17)) (67.8.0)
2024-08-22T20:33:34.2194860Z Collecting DataProperty<2,>=1.0.1 (from pytablewriter->lm-eval==0.4.2->-r requirements.txt (line 17))
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2024-08-22T20:33:34.2216090Z [?25hCollecting multidict<7.0,>=4.5 (from aiohttp->datasets>=2.16.0->lm-eval==0.4.2->-r requirements.txt (line 17))
2024-08-22T20:33:34.2217505Z   Downloading https://download.pytorch.org/whl/nightly/multidict-6.0.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (128 kB)
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2024-08-22T20:33:34.2225683Z [?25hCollecting smmap<6,>=3.0.1 (from gitdb<5,>=4.0.1->gitpython!=3.1.19,<4,>=3.0.7->streamlit->-r requirements.txt (line 28))
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2024-08-22T20:33:34.2242104Z [?25hBuilding wheels for collected packages: rouge-score, numexpr, sqlitedict, word2number
2024-08-22T20:33:34.2242948Z   Building wheel for rouge-score (setup.py) ... [?25l- done
2024-08-22T20:33:34.2244206Z [?25h  Created wheel for rouge-score: filename=rouge_score-0.1.2-py3-none-any.whl size=24935 sha256=c90015b07942d7d626260d7a61ad68360da5d8061c007d80eaaac9ce474c363a
2024-08-22T20:33:34.2245589Z   Stored in directory: /root/.cache/pip/wheels/1e/19/43/8a442dc83660ca25e163e1bd1f89919284ab0d0c1475475148
2024-08-22T20:33:34.2246610Z   Building wheel for numexpr (pyproject.toml) ... [?25l- \ | / done
2024-08-22T20:33:34.2247973Z [?25h  Created wheel for numexpr: filename=numexpr-2.10.1-cp311-cp311-linux_x86_64.whl size=144661 sha256=0bb133f2353d99e8c7e12260e7dd5e06fa08e4c8cba75e137181b17d99e2febc
2024-08-22T20:34:47.3575099Z   Stored in directory: /root/.cache/pip/wheels/95/8f/06/86d86d1afaa270e49bedb56c85c6ffd48d8eccdb9f678e55e4
2024-08-22T20:34:47.3576316Z   Building wheel for sqlitedict (setup.py) ... [?25l- done
2024-08-22T20:34:47.3581394Z [?25h  Created wheel for sqlitedict: filename=sqlitedict-2.1.0-py3-none-any.whl size=16864 sha256=c4951c17d872f0ebbde95c8fa9e38583f032e1e816a73b9f59b9c3b2bc316f64
2024-08-22T20:34:47.3582876Z   Stored in directory: /root/.cache/pip/wheels/73/63/89/7210274f9b7fb033b8f22671f64c0e0b55083d30c3c046a3ff
2024-08-22T20:34:47.3584035Z   Building wheel for word2number (setup.py) ... [?25l- done
2024-08-22T20:34:47.3585412Z [?25h  Created wheel for word2number: filename=word2number-1.1-py3-none-any.whl size=5566 sha256=e3962b53b51afee8a5a34d05a721e4d48626b86559321953d019ad25f6ae2833
2024-08-22T20:34:47.3586811Z   Stored in directory: /root/.cache/pip/wheels/cd/ef/ae/073b491b14d25e2efafcffca9e16b2ee6d114ec5c643ba4f06
2024-08-22T20:34:47.3587874Z Successfully built rouge-score numexpr sqlitedict word2number
2024-08-22T20:34:47.3594733Z Installing collected packages: zstd, word2number, sqlitedict, sentencepiece, ninja, mpmath, xxhash, Werkzeug, watchdog, tzdata, typing-extensions, triton, tqdm, tornado, toml, threadpoolctl, tenacity, tcolorpy, tabulate, sympy, smmap, safetensors, requests, regex, pygments, pycryptodomex, pybind11, protobuf, portalocker, pillow, pathvalidate, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, numpy, networkx, narwhals, multidict, mdurl, mbstrdecoder, lxml, jsonlines, joblib, itsdangerous, fsspec, frozenlist, dill, colorama, cmake, cachetools, blinker, aiohappyeyeballs, absl-py, yarl, typepy, tqdm-multiprocess, tiktoken, snakeviz, scipy, sacrebleu, pydeck, pyarrow, pandas, nvidia-cusparse-cu12, nvidia-cudnn-cu12, numexpr, nltk, multiprocess, markdown-it-py, huggingface_hub, gitdb, gguf, flask, blobfile, aiosignal, tokenizers, scikit-learn, rouge-score, rich, nvidia-cusolver-cu12, gitpython, aiohttp, transformers, torch, DataProperty, altair, tabledata, streamlit, datasets, accelerate, pytablewriter, peft, evaluate, lm-eval
2024-08-22T20:34:47.3600667Z   Attempting uninstall: tqdm
2024-08-22T20:34:47.3601091Z     Found existing installation: tqdm 4.65.0
2024-08-22T20:34:47.3601594Z     Uninstalling tqdm-4.65.0:
2024-08-22T20:34:47.3602053Z       Successfully uninstalled tqdm-4.65.0
2024-08-22T20:34:47.3602499Z   Attempting uninstall: requests
2024-08-22T20:34:47.3602933Z     Found existing installation: requests 2.29.0
2024-08-22T20:34:47.3603446Z     Uninstalling requests-2.29.0:
2024-08-22T20:34:47.3603935Z       Successfully uninstalled requests-2.29.0
2024-08-22T20:34:47.3604377Z   Attempting uninstall: cmake
2024-08-22T20:34:47.3604790Z     Found existing installation: cmake 3.18.2
2024-08-22T20:34:47.3605276Z     Uninstalling cmake-3.18.2:
2024-08-22T20:34:47.3605729Z       Successfully uninstalled cmake-3.18.2
2024-08-22T20:34:47.3615831Z Successfully installed DataProperty-1.0.1 Werkzeug-3.0.4 absl-py-2.1.0 accelerate-0.33.0 aiohappyeyeballs-2.4.0 aiohttp-3.10.5 aiosignal-1.3.1 altair-5.4.0 blinker-1.8.2 blobfile-2.1.1 cachetools-5.5.0 cmake-3.30.2 colorama-0.4.6 datasets-2.21.0 dill-0.3.8 evaluate-0.4.2 flask-3.0.3 frozenlist-1.4.1 fsspec-2024.6.1 gguf-0.9.1 gitdb-4.0.11 gitpython-3.1.43 huggingface_hub-0.24.6 itsdangerous-2.2.0 joblib-1.4.2 jsonlines-4.0.0 lm-eval-0.4.2 lxml-4.9.4 markdown-it-py-3.0.0 mbstrdecoder-1.1.3 mdurl-0.1.2 mpmath-1.3.0 multidict-6.0.5 multiprocess-0.70.16 narwhals-1.5.2 networkx-3.3 ninja-1.11.1.1 nltk-3.9.1 numexpr-2.10.1 numpy-1.26.4 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.6.20 nvidia-nvtx-cu12-12.1.105 pandas-2.2.2 pathvalidate-3.2.0 peft-0.12.0 pillow-10.4.0 portalocker-2.10.1 protobuf-5.27.3 pyarrow-17.0.0 pybind11-2.13.5 pycryptodomex-3.20.0 pydeck-0.9.1 pygments-2.18.0 pytablewriter-1.2.0 regex-2024.7.24 requests-2.32.3 rich-13.7.1 rouge-score-0.1.2 sacrebleu-2.4.3 safetensors-0.4.4 scikit-learn-1.5.1 scipy-1.14.1 sentencepiece-0.2.0 smmap-5.0.1 snakeviz-2.2.0 sqlitedict-2.1.0 streamlit-1.37.1 sympy-1.13.2 tabledata-1.3.3 tabulate-0.9.0 tcolorpy-0.1.6 tenacity-8.5.0 threadpoolctl-3.5.0 tiktoken-0.7.0 tokenizers-0.19.1 toml-0.10.2 torch-2.4.0 tornado-6.4.1 tqdm-4.66.5 tqdm-multiprocess-0.0.11 transformers-4.44.2 triton-3.0.0 typepy-1.3.2 typing-extensions-4.12.2 tzdata-2024.1 watchdog-4.0.2 word2number-1.1 xxhash-3.5.0 yarl-1.9.4 zstd-1.5.5.1
2024-08-22T20:34:47.3626229Z WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
2024-08-22T20:34:47.3627632Z + pip3 uninstall -y triton
2024-08-22T20:34:47.3628035Z Found existing installation: triton 3.0.0
2024-08-22T20:34:47.3628514Z Uninstalling triton-3.0.0:
2024-08-22T20:34:47.3628951Z   Successfully uninstalled triton-3.0.0
2024-08-22T20:34:47.3630471Z WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
2024-08-22T20:34:47.3632399Z + pip3 install --extra-index-url https://download.pytorch.org/whl/nightly/cu121 torch==2.5.0.dev20240814
2024-08-22T20:34:47.3633435Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cu121
2024-08-22T20:34:47.3634125Z Collecting torch==2.5.0.dev20240814
2024-08-22T20:34:47.3635224Z   Downloading https://download.pytorch.org/whl/nightly/cu121/torch-2.5.0.dev20240814%2Bcu121-cp311-cp311-linux_x86_64.whl (778.6 MB)
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2024-08-22T20:34:48.6791194Z      ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 120.8/778.6 MB 244.4 MB/s eta 0:00:03
2024-08-22T20:34:48.6792686Z      ━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 128.7/778.6 MB 235.3 MB/s eta 0:00:03
2024-08-22T20:34:48.6793954Z      ━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 136.7/778.6 MB 230.7 MB/s eta 0:00:03
2024-08-22T20:34:48.6795054Z      ━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 145.1/778.6 MB 242.9 MB/s eta 0:00:03
2024-08-22T20:34:48.6796188Z      ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 153.1/778.6 MB 234.4 MB/s eta 0:00:03
2024-08-22T20:34:48.6797376Z      ━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 161.1/778.6 MB 230.1 MB/s eta 0:00:03
2024-08-22T20:34:48.6798474Z      ━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 169.6/778.6 MB 243.1 MB/s eta 0:00:03
2024-08-22T20:34:48.6799560Z      ━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 177.6/778.6 MB 235.5 MB/s eta 0:00:03
2024-08-22T20:34:48.6800761Z      ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 185.6/778.6 MB 233.3 MB/s eta 0:00:03
2024-08-22T20:34:48.6801851Z      ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━ 193.7/778.6 MB 233.9 MB/s eta 0:00:03
2024-08-22T20:34:48.6803353Z      ━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 201.6/778.6 MB 229.1 MB/s eta 0:00:03
2024-08-22T20:34:48.6804584Z      ━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 209.5/778.6 MB 231.5 MB/s eta 0:00:03
2024-08-22T20:34:48.6805745Z      ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 217.4/778.6 MB 228.8 MB/s eta 0:00:03
2024-08-22T20:34:48.6806830Z      ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━ 225.4/778.6 MB 232.4 MB/s eta 0:00:03
2024-08-22T20:34:48.6808013Z      ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━ 233.2/778.6 MB 226.7 MB/s eta 0:00:03
2024-08-22T20:34:48.6809139Z      ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━ 241.2/778.6 MB 233.4 MB/s eta 0:00:03
2024-08-22T20:34:48.6810296Z      ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━ 249.0/778.6 MB 228.6 MB/s eta 0:00:03
2024-08-22T20:34:48.6811446Z      ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━ 257.0/778.6 MB 231.2 MB/s eta 0:00:03
2024-08-22T20:34:48.6812524Z      ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━ 264.8/778.6 MB 228.1 MB/s eta 0:00:03
2024-08-22T20:34:48.6813649Z      ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━ 272.8/778.6 MB 232.2 MB/s eta 0:00:03
2024-08-22T20:34:48.6814727Z      ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━ 280.7/778.6 MB 228.9 MB/s eta 0:00:03
2024-08-22T20:34:48.6815857Z      ━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 288.6/778.6 MB 231.3 MB/s eta 0:00:03
2024-08-22T20:34:48.6816960Z      ━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 296.5/778.6 MB 227.6 MB/s eta 0:00:03
2024-08-22T20:34:48.6818051Z      ━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 304.4/778.6 MB 231.4 MB/s eta 0:00:03
2024-08-22T20:34:48.6819256Z      ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 312.5/778.6 MB 233.3 MB/s eta 0:00:02
2024-08-22T20:34:48.6820335Z      ━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 320.3/778.6 MB 228.8 MB/s eta 0:00:03
2024-08-22T20:34:48.6821471Z      ━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 328.3/778.6 MB 232.4 MB/s eta 0:00:02
2024-08-22T20:34:48.6822542Z      ━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 336.3/778.6 MB 232.9 MB/s eta 0:00:02
2024-08-22T20:34:48.6823805Z      ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 344.4/778.6 MB 232.5 MB/s eta 0:00:02
2024-08-22T20:34:48.6824982Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 352.9/778.6 MB 245.0 MB/s eta 0:00:02
2024-08-22T20:34:48.6826064Z      ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 360.9/778.6 MB 235.7 MB/s eta 0:00:02
2024-08-22T20:34:48.6827201Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 369.0/778.6 MB 233.6 MB/s eta 0:00:02
2024-08-22T20:34:48.6828274Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 376.8/778.6 MB 229.0 MB/s eta 0:00:02
2024-08-22T20:34:48.6829412Z      ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━ 384.9/778.6 MB 233.7 MB/s eta 0:00:02
2024-08-22T20:34:48.6830509Z      ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━ 392.7/778.6 MB 229.0 MB/s eta 0:00:02
2024-08-22T20:34:48.6831652Z      ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 400.8/778.6 MB 234.0 MB/s eta 0:00:02
2024-08-22T20:34:48.6832725Z      ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 408.6/778.6 MB 229.7 MB/s eta 0:00:02
2024-08-22T20:34:50.0031558Z      ━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━ 416.6/778.6 MB 232.5 MB/s eta 0:00:02
2024-08-22T20:34:50.0033047Z      ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━ 424.5/778.6 MB 228.9 MB/s eta 0:00:02
2024-08-22T20:34:50.0034365Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 433.1/778.6 MB 245.8 MB/s eta 0:00:02
2024-08-22T20:34:50.0035622Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 441.2/778.6 MB 237.3 MB/s eta 0:00:02
2024-08-22T20:34:50.0036804Z      ━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 449.1/778.6 MB 229.5 MB/s eta 0:00:02
2024-08-22T20:34:50.0037912Z      ━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━ 457.0/778.6 MB 229.1 MB/s eta 0:00:02
2024-08-22T20:34:50.0039007Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 465.0/778.6 MB 232.4 MB/s eta 0:00:02
2024-08-22T20:34:50.0040092Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 473.4/778.6 MB 240.5 MB/s eta 0:00:02
2024-08-22T20:34:50.0041170Z      ━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━ 481.7/778.6 MB 241.1 MB/s eta 0:00:02
2024-08-22T20:34:50.0042571Z      ━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 490.1/778.6 MB 241.4 MB/s eta 0:00:02
2024-08-22T20:34:50.0043645Z      ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 498.4/778.6 MB 242.7 MB/s eta 0:00:02
2024-08-22T20:34:50.0044878Z      ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 506.8/778.6 MB 241.9 MB/s eta 0:00:02
2024-08-22T20:34:50.0046101Z      ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 515.2/778.6 MB 243.2 MB/s eta 0:00:02
2024-08-22T20:34:50.0047185Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 523.6/778.6 MB 242.3 MB/s eta 0:00:02
2024-08-22T20:34:50.0048254Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 531.9/778.6 MB 242.0 MB/s eta 0:00:02
2024-08-22T20:34:50.0049349Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 540.3/778.6 MB 241.9 MB/s eta 0:00:01
2024-08-22T20:34:50.0050415Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 548.5/778.6 MB 238.5 MB/s eta 0:00:01
2024-08-22T20:34:50.0051498Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 556.9/778.6 MB 239.9 MB/s eta 0:00:01
2024-08-22T20:34:50.0052566Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 565.2/778.6 MB 241.4 MB/s eta 0:00:01
2024-08-22T20:34:50.0053634Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 573.6/778.6 MB 242.3 MB/s eta 0:00:01
2024-08-22T20:34:50.0054693Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 582.0/778.6 MB 242.5 MB/s eta 0:00:01
2024-08-22T20:34:50.0055875Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 590.4/778.6 MB 243.4 MB/s eta 0:00:01
2024-08-22T20:34:50.0056949Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 598.9/778.6 MB 244.5 MB/s eta 0:00:01
2024-08-22T20:34:50.0058104Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 607.3/778.6 MB 243.3 MB/s eta 0:00:01
2024-08-22T20:34:50.0059270Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━ 615.7/778.6 MB 242.8 MB/s eta 0:00:01
2024-08-22T20:34:50.0060719Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 624.1/778.6 MB 243.3 MB/s eta 0:00:01
2024-08-22T20:34:50.0061799Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 632.5/778.6 MB 242.0 MB/s eta 0:00:01
2024-08-22T20:34:50.0062875Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 640.8/778.6 MB 242.1 MB/s eta 0:00:01
2024-08-22T20:34:50.0063966Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 649.3/778.6 MB 243.8 MB/s eta 0:00:01
2024-08-22T20:34:50.0065058Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 657.7/778.6 MB 243.6 MB/s eta 0:00:01
2024-08-22T20:34:50.0066137Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 666.1/778.6 MB 242.6 MB/s eta 0:00:01
2024-08-22T20:34:50.0067211Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 674.4/778.6 MB 242.1 MB/s eta 0:00:01
2024-08-22T20:34:50.0068282Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 682.9/778.6 MB 242.9 MB/s eta 0:00:01
2024-08-22T20:34:50.0069355Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 691.3/778.6 MB 244.3 MB/s eta 0:00:01
2024-08-22T20:34:50.0070570Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 699.8/778.6 MB 244.1 MB/s eta 0:00:01
2024-08-22T20:34:50.0071669Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 708.2/778.6 MB 243.7 MB/s eta 0:00:01
2024-08-22T20:34:50.0072723Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 716.6/778.6 MB 242.9 MB/s eta 0:00:01
2024-08-22T20:34:50.0073782Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 725.0/778.6 MB 243.2 MB/s eta 0:00:01
2024-08-22T20:34:51.8517513Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 733.5/778.6 MB 244.4 MB/s eta 0:00:01
2024-08-22T20:34:51.8518974Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 742.0/778.6 MB 245.0 MB/s eta 0:00:01
2024-08-22T20:34:51.8520376Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 750.4/778.6 MB 243.8 MB/s eta 0:00:01
2024-08-22T20:34:51.8521600Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 758.8/778.6 MB 242.1 MB/s eta 0:00:01
2024-08-22T20:34:51.8522627Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 767.2/778.6 MB 242.5 MB/s eta 0:00:01
2024-08-22T20:34:51.8523627Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 775.6/778.6 MB 243.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8524641Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8525643Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8526657Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8527643Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8528719Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8529725Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8530717Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8531700Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8532710Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8533728Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8534733Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8535729Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8536746Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8537757Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8538750Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8540009Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8541105Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8542104Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8543091Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8544095Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8545093Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8546103Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8547088Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8548105Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8549097Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8550092Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8551075Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8552068Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8553075Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8554076Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8555067Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8556062Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8557059Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:51.8558097Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2327646Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2329068Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2330348Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2331356Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2332337Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2333337Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2334324Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2335318Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2336319Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2337323Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2338314Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2339371Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2340360Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2341515Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2342501Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2343572Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2344565Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2345553Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2346537Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2347515Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2348535Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2349541Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:53.2350529Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
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2024-08-22T20:34:56.0001032Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
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2024-08-22T20:34:57.3816119Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
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2024-08-22T20:34:59.1495644Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1497111Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1498154Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1499313Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1500376Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1501418Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1502435Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1503473Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1504474Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1505474Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1506473Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1507462Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1508506Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1509533Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1510909Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1511961Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1513194Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1514213Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1515208Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1516255Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.6/778.6 MB 245.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1517223Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 778.6/778.6 MB 1.3 MB/s eta 0:00:00
2024-08-22T20:34:59.1518450Z [?25hRequirement already satisfied: filelock in /opt/conda/lib/python3.11/site-packages (from torch==2.5.0.dev20240814) (3.13.1)
2024-08-22T20:34:59.1519940Z Requirement already satisfied: typing-extensions>=4.8.0 in /opt/conda/lib/python3.11/site-packages (from torch==2.5.0.dev20240814) (4.12.2)
2024-08-22T20:34:59.1521419Z Requirement already satisfied: networkx in /opt/conda/lib/python3.11/site-packages (from torch==2.5.0.dev20240814) (3.3)
2024-08-22T20:34:59.1522781Z Requirement already satisfied: jinja2 in /opt/conda/lib/python3.11/site-packages (from torch==2.5.0.dev20240814) (3.1.4)
2024-08-22T20:34:59.1524152Z Requirement already satisfied: fsspec in /opt/conda/lib/python3.11/site-packages (from torch==2.5.0.dev20240814) (2024.6.1)
2024-08-22T20:34:59.1525658Z Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /opt/conda/lib/python3.11/site-packages (from torch==2.5.0.dev20240814) (12.1.105)
2024-08-22T20:34:59.1527332Z Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /opt/conda/lib/python3.11/site-packages (from torch==2.5.0.dev20240814) (12.1.105)
2024-08-22T20:34:59.1528970Z Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /opt/conda/lib/python3.11/site-packages (from torch==2.5.0.dev20240814) (12.1.105)
2024-08-22T20:34:59.1530596Z Requirement already satisfied: nvidia-cudnn-cu12==9.1.0.70 in /opt/conda/lib/python3.11/site-packages (from torch==2.5.0.dev20240814) (9.1.0.70)
2024-08-22T20:34:59.1532185Z Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /opt/conda/lib/python3.11/site-packages (from torch==2.5.0.dev20240814) (12.1.3.1)
2024-08-22T20:34:59.1533795Z Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /opt/conda/lib/python3.11/site-packages (from torch==2.5.0.dev20240814) (11.0.2.54)
2024-08-22T20:34:59.1535429Z Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /opt/conda/lib/python3.11/site-packages (from torch==2.5.0.dev20240814) (10.3.2.106)
2024-08-22T20:34:59.1537199Z Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /opt/conda/lib/python3.11/site-packages (from torch==2.5.0.dev20240814) (11.4.5.107)
2024-08-22T20:34:59.1538926Z Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /opt/conda/lib/python3.11/site-packages (from torch==2.5.0.dev20240814) (12.1.0.106)
2024-08-22T20:34:59.1540209Z Collecting nvidia-nccl-cu12==2.21.5 (from torch==2.5.0.dev20240814)
2024-08-22T20:34:59.1541357Z   Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_nccl_cu12-2.21.5-py3-none-manylinux2014_x86_64.whl (188.7 MB)
2024-08-22T20:34:59.1542557Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/188.7 MB ? eta -:--:--
2024-08-22T20:34:59.1543670Z      ━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.2/188.7 MB 246.6 MB/s eta 0:00:01
2024-08-22T20:34:59.1544787Z      ━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 16.6/188.7 MB 241.3 MB/s eta 0:00:01
2024-08-22T20:34:59.1545922Z      ━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 24.8/188.7 MB 239.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1547051Z      ━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 33.1/188.7 MB 241.1 MB/s eta 0:00:01
2024-08-22T20:34:59.1548152Z      ━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.5/188.7 MB 240.7 MB/s eta 0:00:01
2024-08-22T20:34:59.1549239Z      ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━ 49.8/188.7 MB 240.8 MB/s eta 0:00:01
2024-08-22T20:34:59.1550373Z      ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━ 58.1/188.7 MB 240.4 MB/s eta 0:00:01
2024-08-22T20:35:00.6113855Z      ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━ 66.4/188.7 MB 240.9 MB/s eta 0:00:01
2024-08-22T20:35:00.6115465Z      ━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 74.7/188.7 MB 240.9 MB/s eta 0:00:01
2024-08-22T20:35:00.6116739Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 83.0/188.7 MB 240.2 MB/s eta 0:00:01
2024-08-22T20:35:00.6117838Z      ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 91.4/188.7 MB 241.2 MB/s eta 0:00:01
2024-08-22T20:35:00.6118924Z      ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 99.7/188.7 MB 240.3 MB/s eta 0:00:01
2024-08-22T20:35:00.6120012Z      ━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 108.0/188.7 MB 239.2 MB/s eta 0:00:01
2024-08-22T20:35:00.6121094Z      ━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━ 116.3/188.7 MB 241.3 MB/s eta 0:00:01
2024-08-22T20:35:00.6122457Z      ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 124.6/188.7 MB 241.3 MB/s eta 0:00:01
2024-08-22T20:35:00.6123695Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 133.0/188.7 MB 242.0 MB/s eta 0:00:01
2024-08-22T20:35:00.6124772Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 141.3/188.7 MB 241.1 MB/s eta 0:00:01
2024-08-22T20:35:00.6125847Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━ 149.6/188.7 MB 241.6 MB/s eta 0:00:01
2024-08-22T20:35:00.6126918Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 158.0/188.7 MB 241.4 MB/s eta 0:00:01
2024-08-22T20:35:00.6127983Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 166.4/188.7 MB 242.8 MB/s eta 0:00:01
2024-08-22T20:35:00.6129074Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 174.7/188.7 MB 242.2 MB/s eta 0:00:01
2024-08-22T20:35:00.6130160Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 183.1/188.7 MB 242.7 MB/s eta 0:00:01
2024-08-22T20:35:00.6131208Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 188.7/188.7 MB 245.1 MB/s eta 0:00:01
2024-08-22T20:35:00.6132212Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 188.7/188.7 MB 245.1 MB/s eta 0:00:01
2024-08-22T20:35:00.6133222Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 188.7/188.7 MB 245.1 MB/s eta 0:00:01
2024-08-22T20:35:00.6134211Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 188.7/188.7 MB 245.1 MB/s eta 0:00:01
2024-08-22T20:35:00.6135219Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 188.7/188.7 MB 245.1 MB/s eta 0:00:01
2024-08-22T20:35:00.6136208Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 188.7/188.7 MB 245.1 MB/s eta 0:00:01
2024-08-22T20:35:00.6137210Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 188.7/188.7 MB 245.1 MB/s eta 0:00:01
2024-08-22T20:35:00.6138198Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 188.7/188.7 MB 245.1 MB/s eta 0:00:01
2024-08-22T20:35:00.6139270Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 188.7/188.7 MB 245.1 MB/s eta 0:00:01
2024-08-22T20:35:00.6140260Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 188.7/188.7 MB 245.1 MB/s eta 0:00:01
2024-08-22T20:35:00.6141958Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 188.7/188.7 MB 245.1 MB/s eta 0:00:01
2024-08-22T20:35:00.6142956Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 188.7/188.7 MB 245.1 MB/s eta 0:00:01
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2024-08-22T20:35:03.4527580Z [?25hRequirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /opt/conda/lib/python3.11/site-packages (from torch==2.5.0.dev20240814) (12.1.105)
2024-08-22T20:35:03.4528768Z Collecting pytorch-triton==3.0.0+dedb7bdf33 (from torch==2.5.0.dev20240814)
2024-08-22T20:35:03.4530032Z   Downloading https://download.pytorch.org/whl/nightly/pytorch_triton-3.0.0%2Bdedb7bdf33-cp311-cp311-linux_x86_64.whl (239.5 MB)
2024-08-22T20:35:03.4531270Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/239.5 MB ? eta -:--:--
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2024-08-22T20:35:17.4357446Z [?25hCollecting sympy==1.13.1 (from torch==2.5.0.dev20240814)
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2024-08-22T20:35:17.4366047Z [?25hRequirement already satisfied: nvidia-nvjitlink-cu12 in /opt/conda/lib/python3.11/site-packages (from nvidia-cusolver-cu12==11.4.5.107->torch==2.5.0.dev20240814) (12.6.20)
2024-08-22T20:35:17.4367776Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/lib/python3.11/site-packages (from sympy==1.13.1->torch==2.5.0.dev20240814) (1.3.0)
2024-08-22T20:35:17.4369421Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/lib/python3.11/site-packages (from jinja2->torch==2.5.0.dev20240814) (2.1.3)
2024-08-22T20:35:17.4370572Z Installing collected packages: sympy, pytorch-triton, nvidia-nccl-cu12, torch
2024-08-22T20:35:17.4371302Z   Attempting uninstall: sympy
2024-08-22T20:35:17.4371729Z     Found existing installation: sympy 1.13.2
2024-08-22T20:35:17.4372222Z     Uninstalling sympy-1.13.2:
2024-08-22T20:35:17.4372688Z       Successfully uninstalled sympy-1.13.2
2024-08-22T20:35:17.4373211Z   Attempting uninstall: nvidia-nccl-cu12
2024-08-22T20:35:17.4373777Z     Found existing installation: nvidia-nccl-cu12 2.20.5
2024-08-22T20:35:17.4374343Z     Uninstalling nvidia-nccl-cu12-2.20.5:
2024-08-22T20:36:56.8290880Z       Successfully uninstalled nvidia-nccl-cu12-2.20.5
2024-08-22T20:36:56.8291424Z   Attempting uninstall: torch
2024-08-22T20:36:56.8296742Z     Found existing installation: torch 2.4.0
2024-08-22T20:36:56.8297460Z     Uninstalling torch-2.4.0:
2024-08-22T20:36:56.8298056Z       Successfully uninstalled torch-2.4.0
2024-08-22T20:36:56.8299167Z Successfully installed nvidia-nccl-cu12-2.21.5 pytorch-triton-3.0.0+dedb7bdf33 sympy-1.13.1 torch-2.5.0.dev20240814+cu121
2024-08-22T20:36:56.8301639Z WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
2024-08-22T20:36:56.8303804Z + pip3 install git+https://github.com/pytorch/ao.git@e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:36:56.8305082Z Collecting git+https://github.com/pytorch/ao.git@e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:36:56.8306735Z   Cloning https://github.com/pytorch/ao.git (to revision e11201a62669f582d81cdb33e031a07fb8dfc4f3) to /tmp/pip-req-build-6_p6adye
2024-08-22T20:36:56.8308465Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/ao.git /tmp/pip-req-build-6_p6adye
2024-08-22T20:36:56.8309922Z   Running command git rev-parse -q --verify 'sha^e11201a62669f582d81cdb33e031a07fb8dfc4f3'
2024-08-22T20:36:56.8311310Z   Running command git fetch -q https://github.com/pytorch/ao.git e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:36:56.8312375Z   Running command git checkout -q e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:36:56.8313547Z   Resolved https://github.com/pytorch/ao.git to commit e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:36:56.8314639Z   Preparing metadata (setup.py) ... [?25l- done
2024-08-22T20:36:56.8315428Z [?25hBuilding wheels for collected packages: torchao
2024-08-22T20:36:56.8316285Z   Building wheel for torchao (setup.py) ... [?25l- \ | / - \ | / done
2024-08-22T20:36:56.8317770Z [?25h  Created wheel for torchao: filename=torchao-0.4.0+gite11201a-cp311-cp311-linux_x86_64.whl size=1019167 sha256=ddb89aced53e9c5cba585e012afc01a83eba7c9c9e8871829dfb1ecec209cb57
2024-08-22T20:36:56.8319514Z   Stored in directory: /root/.cache/pip/wheels/f7/33/31/b21ec8d5a4ec3826118179c0c853d6f776a1f80c58c0960d0e
2024-08-22T20:36:56.8320531Z Successfully built torchao
2024-08-22T20:36:56.8321042Z Installing collected packages: torchao
2024-08-22T20:36:56.8321753Z Successfully installed torchao-0.4.0+gite11201a
2024-08-22T20:36:56.8323565Z WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
2024-08-22T20:36:56.8324968Z + python3 scripts/patch_triton.py
2024-08-22T20:36:56.8325368Z + pip3 list
2024-08-22T20:36:56.8325661Z Package                   Version
2024-08-22T20:36:56.8326115Z ------------------------- -----------------------
2024-08-22T20:36:56.8326771Z absl-py                   2.1.0
2024-08-22T20:36:56.8327181Z accelerate                0.33.0
2024-08-22T20:36:56.8328199Z aiohappyeyeballs          2.4.0
2024-08-22T20:36:56.8328698Z aiohttp                   3.10.5
2024-08-22T20:36:56.8329155Z aiosignal                 1.3.1
2024-08-22T20:36:56.8329512Z altair                    5.4.0
2024-08-22T20:36:56.8329950Z anaconda-anon-usage       0.4.4
2024-08-22T20:36:56.8330530Z anaconda-client           1.12.3
2024-08-22T20:36:56.8331312Z attrs                     23.1.0
2024-08-22T20:36:56.8331801Z beautifulsoup4            4.12.3
2024-08-22T20:36:56.8332175Z blinker                   1.8.2
2024-08-22T20:36:56.8332528Z blobfile                  2.1.1
2024-08-22T20:36:56.8332892Z boltons                   23.0.0
2024-08-22T20:36:56.8333326Z brotlipy                  0.7.0
2024-08-22T20:36:56.8333802Z cachetools                5.5.0
2024-08-22T20:36:56.8334282Z certifi                   2024.7.4
2024-08-22T20:36:56.8334775Z cffi                      1.15.1
2024-08-22T20:36:56.8335241Z chardet                   4.0.0
2024-08-22T20:36:56.8335817Z charset-normalizer        2.0.4
2024-08-22T20:36:56.8336318Z click                     8.1.7
2024-08-22T20:36:56.8336781Z cmake                     3.30.2
2024-08-22T20:36:56.8337268Z colorama                  0.4.6
2024-08-22T20:36:56.8337741Z conda                     23.5.2
2024-08-22T20:36:56.8338217Z conda-build               24.3.0
2024-08-22T20:36:56.8338653Z conda-content-trust       0.1.3
2024-08-22T20:36:56.8339031Z conda_index               0.5.0
2024-08-22T20:36:56.8339538Z conda-libmamba-solver     23.5.0
2024-08-22T20:36:56.8339992Z conda-package-handling    2.1.0
2024-08-22T20:36:56.8340385Z conda_package_streaming   0.8.0
2024-08-22T20:36:56.8340760Z cryptography              39.0.1
2024-08-22T20:36:56.8341139Z DataProperty              1.0.1
2024-08-22T20:36:56.8341509Z datasets                  2.21.0
2024-08-22T20:36:56.8341874Z defusedxml                0.7.1
2024-08-22T20:36:56.8342246Z dill                      0.3.8
2024-08-22T20:36:56.8342604Z evaluate                  0.4.2
2024-08-22T20:36:56.8342971Z fastjsonschema            2.16.2
2024-08-22T20:36:56.8343353Z filelock                  3.13.1
2024-08-22T20:36:56.8343716Z Flask                     3.0.3
2024-08-22T20:36:56.8344070Z frozenlist                1.4.1
2024-08-22T20:36:56.8344446Z fsspec                    2024.6.1
2024-08-22T20:36:56.8344819Z gguf                      0.9.1
2024-08-22T20:36:56.8345179Z gitdb                     4.0.11
2024-08-22T20:36:56.8345548Z GitPython                 3.1.43
2024-08-22T20:36:56.8345976Z huggingface-hub           0.24.6
2024-08-22T20:36:56.8346341Z idna                      3.4
2024-08-22T20:36:56.8346698Z itsdangerous              2.2.0
2024-08-22T20:36:56.8347064Z Jinja2                    3.1.4
2024-08-22T20:36:56.8347415Z joblib                    1.4.2
2024-08-22T20:36:56.8347775Z jsonlines                 4.0.0
2024-08-22T20:36:56.8348149Z jsonpatch                 1.32
2024-08-22T20:36:56.8348508Z jsonpointer               2.1
2024-08-22T20:36:56.8348874Z jsonschema                4.19.2
2024-08-22T20:36:56.8349317Z jsonschema-specifications 2023.7.1
2024-08-22T20:36:56.8349716Z jupyter_core              5.7.2
2024-08-22T20:36:56.8350127Z libarchive-c              2.9
2024-08-22T20:36:56.8350488Z libmambapy                1.4.1
2024-08-22T20:36:56.8350847Z lm_eval                   0.4.2
2024-08-22T20:36:56.8351205Z lxml                      4.9.4
2024-08-22T20:36:56.8351616Z markdown-it-py            3.0.0
2024-08-22T20:36:56.8351977Z MarkupSafe                2.1.3
2024-08-22T20:36:56.8352346Z mbstrdecoder              1.1.3
2024-08-22T20:36:56.8352757Z mdurl                     0.1.2
2024-08-22T20:36:56.8353108Z menuinst                  2.1.2
2024-08-22T20:36:56.8353522Z more-itertools            10.1.0
2024-08-22T20:36:56.8353934Z mpmath                    1.3.0
2024-08-22T20:36:56.8354305Z multidict                 6.0.5
2024-08-22T20:36:56.8354668Z multiprocess              0.70.16
2024-08-22T20:36:56.8355048Z narwhals                  1.5.2
2024-08-22T20:36:56.8355413Z nbformat                  5.9.2
2024-08-22T20:36:56.8355899Z networkx                  3.3
2024-08-22T20:36:56.8356254Z ninja                     1.11.1.1
2024-08-22T20:36:56.8356624Z nltk                      3.9.1
2024-08-22T20:36:56.8356981Z numexpr                   2.10.1
2024-08-22T20:36:56.8357349Z numpy                     1.26.4
2024-08-22T20:36:56.8357860Z nvidia-cublas-cu12        12.1.3.1
2024-08-22T20:36:56.8358304Z nvidia-cuda-cupti-cu12    12.1.105
2024-08-22T20:36:56.8358761Z nvidia-cuda-nvrtc-cu12    12.1.105
2024-08-22T20:36:56.8359223Z nvidia-cuda-runtime-cu12  12.1.105
2024-08-22T20:36:56.8359660Z nvidia-cudnn-cu12         9.1.0.70
2024-08-22T20:36:56.8360448Z nvidia-cufft-cu12         11.0.2.54
2024-08-22T20:36:56.8360913Z nvidia-curand-cu12        10.3.2.106
2024-08-22T20:36:56.8361373Z nvidia-cusolver-cu12      11.4.5.107
2024-08-22T20:36:56.8361837Z nvidia-cusparse-cu12      12.1.0.106
2024-08-22T20:36:56.8362289Z nvidia-nccl-cu12          2.21.5
2024-08-22T20:36:56.8362722Z nvidia-nvjitlink-cu12     12.6.20
2024-08-22T20:36:56.8363176Z nvidia-nvtx-cu12          12.1.105
2024-08-22T20:36:56.8363566Z packaging                 23.0
2024-08-22T20:36:56.8363929Z pandas                    2.2.2
2024-08-22T20:36:56.8364307Z pathvalidate              3.2.0
2024-08-22T20:36:56.8364681Z peft                      0.12.0
2024-08-22T20:36:56.8365047Z pillow                    10.4.0
2024-08-22T20:36:56.8365426Z pip                       23.1.2
2024-08-22T20:36:56.8365796Z pkginfo                   1.10.0
2024-08-22T20:36:56.8366168Z platformdirs              3.10.0
2024-08-22T20:36:56.8366543Z pluggy                    1.0.0
2024-08-22T20:36:56.8366914Z portalocker               2.10.1
2024-08-22T20:36:56.8367282Z protobuf                  5.27.3
2024-08-22T20:36:56.8367653Z psutil                    5.9.0
2024-08-22T20:36:56.8368023Z pyarrow                   17.0.0
2024-08-22T20:36:56.8368384Z pybind11                  2.13.5
2024-08-22T20:36:56.8368759Z pycosat                   0.6.4
2024-08-22T20:36:56.8369135Z pycparser                 2.21
2024-08-22T20:36:56.8369514Z pycryptodomex             3.20.0
2024-08-22T20:36:56.8369890Z pydeck                    0.9.1
2024-08-22T20:36:56.8370267Z Pygments                  2.18.0
2024-08-22T20:36:56.8370636Z pyOpenSSL                 23.0.0
2024-08-22T20:36:56.8371015Z PySocks                   1.7.1
2024-08-22T20:36:56.8371398Z pytablewriter             1.2.0
2024-08-22T20:36:56.8371840Z python-dateutil           2.9.0.post0
2024-08-22T20:36:56.8372330Z pytorch-triton            3.0.0+dedb7bdf33
2024-08-22T20:36:56.8372760Z pytz                      2024.1
2024-08-22T20:36:56.8373126Z PyYAML                    6.0.1
2024-08-22T20:36:56.8373499Z referencing               0.30.2
2024-08-22T20:36:56.8373878Z regex                     2024.7.24
2024-08-22T20:36:56.8374262Z requests                  2.32.3
2024-08-22T20:36:56.8374690Z requests-toolbelt         1.0.0
2024-08-22T20:36:56.8375065Z rich                      13.7.1
2024-08-22T20:36:56.8375465Z rouge-score               0.1.2
2024-08-22T20:36:56.8375895Z rpds-py                   0.10.6
2024-08-22T20:36:56.8376267Z ruamel.yaml               0.17.21
2024-08-22T20:36:56.8376639Z sacrebleu                 2.4.3
2024-08-22T20:36:56.8377014Z safetensors               0.4.4
2024-08-22T20:36:56.8377425Z scikit-learn              1.5.1
2024-08-22T20:36:56.8377787Z scipy                     1.14.1
2024-08-22T20:36:56.8378172Z sentencepiece             0.2.0
2024-08-22T20:36:56.8378552Z setuptools                67.8.0
2024-08-22T20:36:56.8378914Z six                       1.16.0
2024-08-22T20:36:56.8379375Z smmap                     5.0.1
2024-08-22T20:36:56.8379753Z snakeviz                  2.2.0
2024-08-22T20:36:56.8380111Z soupsieve                 2.5
2024-08-22T20:36:56.8380479Z sqlitedict                2.1.0
2024-08-22T20:36:56.8380851Z streamlit                 1.37.1
2024-08-22T20:36:56.8381214Z sympy                     1.13.1
2024-08-22T20:36:56.8381580Z tabledata                 1.3.3
2024-08-22T20:36:56.8381949Z tabulate                  0.9.0
2024-08-22T20:36:56.8382491Z tcolorpy                  0.1.6
2024-08-22T20:36:56.8382892Z tenacity                  8.5.0
2024-08-22T20:36:56.8383264Z threadpoolctl             3.5.0
2024-08-22T20:36:56.8383628Z tiktoken                  0.7.0
2024-08-22T20:36:56.8383998Z tokenizers                0.19.1
2024-08-22T20:36:56.8384479Z toml                      0.10.2
2024-08-22T20:36:56.8384843Z toolz                     0.12.0
2024-08-22T20:36:56.8385261Z torch                     2.5.0.dev20240814+cu121
2024-08-22T20:36:56.8385726Z torchao                   0.4.0+gite11201a
2024-08-22T20:36:56.8386142Z tornado                   6.4.1
2024-08-22T20:36:56.8386511Z tqdm                      4.66.5
2024-08-22T20:36:56.8386946Z tqdm-multiprocess         0.0.11
2024-08-22T20:36:56.8387320Z traitlets                 5.14.3
2024-08-22T20:36:56.8387695Z transformers              4.44.2
2024-08-22T20:36:56.8388069Z typepy                    1.3.2
2024-08-22T20:36:56.8388438Z typing_extensions         4.12.2
2024-08-22T20:36:56.8388819Z tzdata                    2024.1
2024-08-22T20:36:56.8389191Z urllib3                   1.26.16
2024-08-22T20:36:56.8389561Z watchdog                  4.0.2
2024-08-22T20:36:56.8389927Z Werkzeug                  3.0.4
2024-08-22T20:36:56.8390293Z wheel                     0.38.4
2024-08-22T20:36:56.8390661Z word2number               1.1
2024-08-22T20:36:56.8391021Z xxhash                    3.5.0
2024-08-22T20:36:56.8391382Z yarl                      1.9.4
2024-08-22T20:36:56.8391740Z zstandard                 0.19.0
2024-08-22T20:36:56.8392108Z zstd                      1.5.5.1
2024-08-22T20:36:56.8392826Z + python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
2024-08-22T20:36:56.8393757Z torch: ('2.5.0.dev20240814+cu121', '3a023a67c47bcde45538c9991e332d21ac548e46')
2024-08-22T20:36:56.8394370Z + echo ::endgroup::
2024-08-22T20:36:56.8394991Z ##[endgroup]
2024-08-22T20:36:56.8395413Z + echo '::group::Download checkpoint'
2024-08-22T20:36:56.8396102Z ##[group]Download checkpoint
2024-08-22T20:36:56.8396500Z + export REPO_NAME=tinyllamas/stories15M
2024-08-22T20:36:56.8396937Z + REPO_NAME=tinyllamas/stories15M
2024-08-22T20:37:47.6654849Z + bash .ci/scripts/wget_checkpoint.sh tinyllamas/stories15M https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
2024-08-22T20:37:47.6656513Z + MODEL_REPO=tinyllamas/stories15M
2024-08-22T20:37:47.6657894Z + RESOURCES_STRING=https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
2024-08-22T20:37:47.6659345Z + CHECKPOINT_NAME=stories15M
2024-08-22T20:37:47.6660271Z + mkdir -p checkpoints/tinyllamas/stories15M
2024-08-22T20:37:47.6660760Z + pushd checkpoints/tinyllamas/stories15M
2024-08-22T20:37:47.6661375Z /pytorch/torchchat/checkpoints/tinyllamas/stories15M /pytorch/torchchat
2024-08-22T20:37:47.6661987Z + IFS=,
2024-08-22T20:37:47.6662339Z + for resource in '$RESOURCES_STRING'
2024-08-22T20:37:47.6663098Z + echo 'Downloading: https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt'
2024-08-22T20:37:47.6664043Z Downloading: https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt
2024-08-22T20:37:47.6664878Z + wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt
2024-08-22T20:37:47.6665830Z --2024-08-22 20:36:56--  https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt
2024-08-22T20:37:47.6666809Z Resolving huggingface.co (huggingface.co)... 18.154.227.67, 18.154.227.87, 18.154.227.69, ...
2024-08-22T20:37:47.6667669Z Connecting to huggingface.co (huggingface.co)|18.154.227.67|:443... connected.
2024-08-22T20:37:47.6668321Z HTTP request sent, awaiting response... 302 Found
2024-08-22T20:37:47.6677993Z Location: https://cdn-lfs.huggingface.co/repos/88/4b/884bade32e5ee32eea725c5087af1358179a1bea94a4f6abc3c0470c9610ac38/3da00c0fef684f3f83b457736837c46ab55e92a26662b61d6104de2d271c708d?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27stories15M.pt%3B+filename%3D%22stories15M.pt%22%3B&Expires=1724617940&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcyNDYxNzk0MH19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy84OC80Yi84ODRiYWRlMzJlNWVlMzJlZWE3MjVjNTA4N2FmMTM1ODE3OWExYmVhOTRhNGY2YWJjM2MwNDcwYzk2MTBhYzM4LzNkYTAwYzBmZWY2ODRmM2Y4M2I0NTc3MzY4MzdjNDZhYjU1ZTkyYTI2NjYyYjYxZDYxMDRkZTJkMjcxYzcwOGQ%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=UPKbN9T4PYuhVeAKxWdoAv6yuTo2OyAjB7jtkUVNtSDC0CVTyKX69MILjl7LKK5DviscqVbA6XsLmeqYFkHwZcGhX9tsKDo7v2zbPYpaUo%7Ez9Kxxrj5KU7immZy6p2ZV3XFF5ZUsBDBhZy6T1Lqs6JeBC6%7EmIC7RckuhCgFxe%7EMSBsv6cTtuuK16qm%7EQu83UR%7EYJHi1nycK7HvsY9CqMPuyMv43el8YbJAWQ88mwycUR3X6xnq93vIVT7lO6zWAG-xiPSZVPeGxsSaJvdjIjp06K2R12fDQjSwpL8OE2x8sWeeGk7uHiB4OH6di0DeDperbYg08r%7E9J6RytafVC%7EcA__&Key-Pair-Id=K3ESJI6DHPFC7 [following]
2024-08-22T20:37:47.6694399Z --2024-08-22 20:36:56--  https://cdn-lfs.huggingface.co/repos/88/4b/884bade32e5ee32eea725c5087af1358179a1bea94a4f6abc3c0470c9610ac38/3da00c0fef684f3f83b457736837c46ab55e92a26662b61d6104de2d271c708d?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27stories15M.pt%3B+filename%3D%22stories15M.pt%22%3B&Expires=1724617940&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcyNDYxNzk0MH19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy84OC80Yi84ODRiYWRlMzJlNWVlMzJlZWE3MjVjNTA4N2FmMTM1ODE3OWExYmVhOTRhNGY2YWJjM2MwNDcwYzk2MTBhYzM4LzNkYTAwYzBmZWY2ODRmM2Y4M2I0NTc3MzY4MzdjNDZhYjU1ZTkyYTI2NjYyYjYxZDYxMDRkZTJkMjcxYzcwOGQ%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=UPKbN9T4PYuhVeAKxWdoAv6yuTo2OyAjB7jtkUVNtSDC0CVTyKX69MILjl7LKK5DviscqVbA6XsLmeqYFkHwZcGhX9tsKDo7v2zbPYpaUo%7Ez9Kxxrj5KU7immZy6p2ZV3XFF5ZUsBDBhZy6T1Lqs6JeBC6%7EmIC7RckuhCgFxe%7EMSBsv6cTtuuK16qm%7EQu83UR%7EYJHi1nycK7HvsY9CqMPuyMv43el8YbJAWQ88mwycUR3X6xnq93vIVT7lO6zWAG-xiPSZVPeGxsSaJvdjIjp06K2R12fDQjSwpL8OE2x8sWeeGk7uHiB4OH6di0DeDperbYg08r%7E9J6RytafVC%7EcA__&Key-Pair-Id=K3ESJI6DHPFC7
2024-08-22T20:37:47.6703037Z Resolving cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)... 108.138.64.121, 108.138.64.36, 108.138.64.49, ...
2024-08-22T20:37:47.6704171Z Connecting to cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)|108.138.64.121|:443... connected.
2024-08-22T20:37:47.6704918Z HTTP request sent, awaiting response... 200 OK
2024-08-22T20:37:47.6705467Z Length: 60789090 (58M) [binary/octet-stream]
2024-08-22T20:37:47.6706052Z Saving to: ‘stories15M.pt’
2024-08-22T20:37:47.6706294Z 
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2024-08-22T20:37:47.6706578Z  0% [                                       ] 0           --.-K/s              
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2024-08-22T20:37:47.6709899Z 2024-08-22 20:36:57 (412 MB/s) - ‘stories15M.pt’ saved [60789090/60789090]
2024-08-22T20:37:47.6710425Z 
2024-08-22T20:37:47.6710653Z + for resource in '$RESOURCES_STRING'
2024-08-22T20:37:47.6711376Z + echo 'Downloading: https://github.com/karpathy/llama2.c/raw/master/tokenizer.model'
2024-08-22T20:37:47.6712203Z Downloading: https://github.com/karpathy/llama2.c/raw/master/tokenizer.model
2024-08-22T20:37:47.6712971Z + wget https://github.com/karpathy/llama2.c/raw/master/tokenizer.model
2024-08-22T20:37:47.6713848Z --2024-08-22 20:36:57--  https://github.com/karpathy/llama2.c/raw/master/tokenizer.model
2024-08-22T20:37:47.6714542Z Resolving github.com (github.com)... 140.82.113.4
2024-08-22T20:37:47.6715135Z Connecting to github.com (github.com)|140.82.113.4|:443... connected.
2024-08-22T20:37:47.6715746Z HTTP request sent, awaiting response... 302 Found
2024-08-22T20:37:47.6716581Z Location: https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.model [following]
2024-08-22T20:37:47.6717672Z --2024-08-22 20:36:57--  https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.model
2024-08-22T20:37:47.6718884Z Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.111.133, 185.199.108.133, ...
2024-08-22T20:37:47.6720005Z Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.
2024-08-22T20:37:47.6720858Z HTTP request sent, awaiting response... 200 OK
2024-08-22T20:37:47.6721427Z Length: 499723 (488K) [application/octet-stream]
2024-08-22T20:37:47.6721936Z Saving to: ‘tokenizer.model’
2024-08-22T20:37:47.6722180Z 
2024-08-22T20:37:47.6722186Z 
2024-08-22T20:37:47.6722463Z  0% [                                       ] 0           --.-K/s              
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2024-08-22T20:37:47.6723817Z 2024-08-22 20:36:57 (131 MB/s) - ‘tokenizer.model’ saved [499723/499723]
2024-08-22T20:37:47.6724261Z 
2024-08-22T20:37:47.6724460Z + for resource in '$RESOURCES_STRING'
2024-08-22T20:37:47.6725165Z + echo 'Downloading: https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin'
2024-08-22T20:37:47.6725988Z Downloading: https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
2024-08-22T20:37:47.6726760Z + wget https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
2024-08-22T20:37:47.6727643Z --2024-08-22 20:36:57--  https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
2024-08-22T20:37:47.6728322Z Resolving github.com (github.com)... 140.82.113.4
2024-08-22T20:37:47.6728926Z Connecting to github.com (github.com)|140.82.113.4|:443... connected.
2024-08-22T20:37:47.6729535Z HTTP request sent, awaiting response... 302 Found
2024-08-22T20:37:47.6730285Z Location: https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.bin [following]
2024-08-22T20:37:47.6731352Z --2024-08-22 20:36:57--  https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.bin
2024-08-22T20:37:47.6732434Z Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.109.133, 185.199.108.133, 185.199.111.133, ...
2024-08-22T20:37:47.6733550Z Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.109.133|:443... connected.
2024-08-22T20:37:47.6734324Z HTTP request sent, awaiting response... 200 OK
2024-08-22T20:37:47.6734886Z Length: 433869 (424K) [application/octet-stream]
2024-08-22T20:37:47.6735384Z Saving to: ‘tokenizer.bin’
2024-08-22T20:37:47.6735626Z 
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2024-08-22T20:37:47.6736536Z 100%[======================================>] 433,869     --.-K/s   in 0.004s  
2024-08-22T20:37:47.6736944Z 
2024-08-22T20:37:47.6737301Z 2024-08-22 20:36:57 (116 MB/s) - ‘tokenizer.bin’ saved [433869/433869]
2024-08-22T20:37:47.6737729Z 
2024-08-22T20:37:47.6737834Z + popd
2024-08-22T20:37:47.6738099Z /pytorch/torchchat
2024-08-22T20:37:47.6738430Z + echo ::endgroup::
2024-08-22T20:37:47.6739088Z ##[endgroup]
2024-08-22T20:37:47.6739508Z + echo '::group::Convert checkpoint'
2024-08-22T20:37:47.6740137Z ##[group]Convert checkpoint
2024-08-22T20:37:47.6740623Z + bash .ci/scripts/convert_checkpoint.sh tinyllamas/stories15M
2024-08-22T20:37:47.6741344Z /pytorch/torchchat/checkpoints/tinyllamas/stories15M /pytorch/torchchat
2024-08-22T20:37:47.6741928Z /pytorch/torchchat
2024-08-22T20:37:47.6742237Z + echo ::endgroup::
2024-08-22T20:37:47.6742742Z ##[endgroup]
2024-08-22T20:37:47.6743110Z + echo '::group::Run inference'
2024-08-22T20:37:47.6743738Z ##[group]Run inference
2024-08-22T20:37:47.6744442Z + bash .ci/scripts/validate.sh ./checkpoints/tinyllamas/stories15M/model.pth cuda aoti-bfloat16
2024-08-22T20:37:47.6745160Z arg:aoti-bfloat16
2024-08-22T20:37:47.6745471Z Passing DTYPES=bfloat16
2024-08-22T20:37:47.6745802Z Local DTYPES=bfloat16
2024-08-22T20:37:47.6746152Z Local after default DTYPES=bfloat16
2024-08-22T20:37:47.6746718Z ############### Run inference with AOT Inductor for dtype bfloat16 ###############
2024-08-22T20:37:47.6747331Z 
2024-08-22T20:37:47.6747461Z ******************************************
2024-08-22T20:37:47.6747937Z ************** non-quantized *************
2024-08-22T20:37:47.6748355Z ******************************************
2024-08-22T20:37:47.6748629Z 
2024-08-22T20:37:47.6748968Z Downloading builder script:   0% 0.00/5.67k [00:00<?, ?B/s]
2024-08-22T20:37:47.6749603Z Downloading builder script: 100% 5.67k/5.67k [00:00<00:00, 33.2MB/s]
2024-08-22T20:37:47.6750133Z Using device=cuda
2024-08-22T20:37:47.6750493Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:37:47.6750913Z Loading model...
2024-08-22T20:37:47.6751230Z Time to load model: 0.32 seconds
2024-08-22T20:37:47.6751717Z -----------------------------------------------------------
2024-08-22T20:37:47.6752481Z Exporting model using AOT Inductor to /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:37:47.6753532Z The generated DSO model can be found at: /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:37:47.6754392Z 2024-08-22:20:37:47,664 INFO     [generate.py:846] 
2024-08-22T20:39:49.2033986Z Time for inference 1: 0.27 sec total, time to first token 0.07 sec with sequential prefill, 199 tokens, 737.84 tokens/sec, 1.36 ms/token
2024-08-22T20:39:49.2035822Z 2024-08-22:20:37:47,664 INFO     [generate.py:849] Bandwidth achieved: 36.02 GB/s
2024-08-22T20:39:49.2037064Z 2024-08-22:20:37:47,664 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:39:49.2038162Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:39:49.2039073Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:39:49.2039899Z Using device=cuda NVIDIA A10G
2024-08-22T20:39:49.2040324Z Loading model...
2024-08-22T20:39:49.2040636Z Time to load model: 0.19 seconds
2024-08-22T20:39:49.2041137Z -----------------------------------------------------------
2024-08-22T20:39:49.2041782Z Hello, my name is William. He is on a mission to deliver something special.
2024-08-22T20:39:49.2045724Z He rushed to the kitchen where his mum was making steak. He smiled and ran to the kitchen, grabbed a big bowl of steak and sat on the floor in front of the table.
2024-08-22T20:39:49.2047241Z He said, "I'm delivering something!"
2024-08-22T20:39:49.2048230Z His mum smiled and said, "That's wonderful, William. What would you like to give me?"
2024-08-22T20:39:49.2049154Z But William shook his head and said, "I want to give you something."
2024-08-22T20:39:49.2049847Z His mum was curious, so she asked, "What do you want to give me?"
2024-08-22T20:39:49.2050509Z Peter smiled and said, "I want to give you a meal for dinner!"
2024-08-22T20:39:49.2051150Z The waiter smiled and said, "That would be lovely, would you?"
2024-08-22T20:39:49.2051846Z Willan couldn't believe it and said, "Yes! I would love it."
2024-08-22T20:39:49.2052408Z The waiter then handed Willie a plate of ste
2024-08-22T20:39:49.2052849Z ========================================
2024-08-22T20:39:49.2053126Z 
2024-08-22T20:39:49.2053254Z Average tokens/sec: 737.84
2024-08-22T20:39:49.2053604Z Memory used: 0.10 GB
2024-08-22T20:39:49.2054192Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:39:49.2055054Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:39:49.2055593Z ******************************************
2024-08-22T20:39:49.2056106Z ******* Emb: channel-wise quantized ******
2024-08-22T20:39:49.2056522Z ******************************************
2024-08-22T20:39:49.2056907Z Using device=cuda
2024-08-22T20:39:49.2057370Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:39:49.2057936Z Loading model...
2024-08-22T20:39:49.2058502Z Time to load model: 0.33 seconds
2024-08-22T20:39:49.2059360Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:39:49.2060318Z Time to quantize model: 0.07 seconds
2024-08-22T20:39:49.2061208Z -----------------------------------------------------------
2024-08-22T20:39:49.2061977Z Exporting model using AOT Inductor to /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:39:49.2063018Z The generated DSO model can be found at: /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:39:49.2064038Z 2024-08-22:20:38:29,595 INFO     [generate.py:846] 
2024-08-22T20:39:49.2064983Z Time for inference 1: 0.18 sec total, time to first token 0.01 sec with sequential prefill, 199 tokens, 1081.06 tokens/sec, 0.93 ms/token
2024-08-22T20:39:49.2066115Z 2024-08-22:20:38:29,595 INFO     [generate.py:849] Bandwidth achieved: 52.77 GB/s
2024-08-22T20:39:49.2067349Z 2024-08-22:20:38:29,595 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:39:49.2068452Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:39:49.2069264Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:39:49.2069883Z Using device=cuda NVIDIA A10G
2024-08-22T20:39:49.2070243Z Loading model...
2024-08-22T20:39:49.2070562Z Time to load model: 0.19 seconds
2024-08-22T20:39:49.2071040Z -----------------------------------------------------------
2024-08-22T20:39:49.2072229Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:39:49.2073953Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and shouts. She feels the wind in her hair.
2024-08-22T20:39:49.2075650Z Daisy sees a boy. He is playing with a ball. He is throwing the ball to his friend. Daisy wants to play too. She runs to the boy and says, "Can I play with you?"
2024-08-22T20:39:49.2077216Z The boy looks at Daisy. He sees her smiling. He smiles back. He says, "Sure, you can play with me. But you have to be nice. Do not throw the ball at the slide."
2024-08-22T20:39:49.2078196Z ========================================
2024-08-22T20:39:49.2078475Z 
2024-08-22T20:39:49.2078603Z Average tokens/sec: 1081.06
2024-08-22T20:39:49.2078956Z Memory used: 0.10 GB
2024-08-22T20:39:49.2079418Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:39:49.2080067Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:39:49.2080604Z ******************************************
2024-08-22T20:39:49.2081116Z ******** Emb: group-wise quantized *******
2024-08-22T20:39:49.2081541Z ******************************************
2024-08-22T20:39:49.2081932Z Using device=cuda
2024-08-22T20:39:49.2082311Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:39:49.2082742Z Loading model...
2024-08-22T20:39:49.2083061Z Time to load model: 0.33 seconds
2024-08-22T20:39:49.2083680Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:39:49.2084279Z Time to quantize model: 0.07 seconds
2024-08-22T20:39:49.2084784Z -----------------------------------------------------------
2024-08-22T20:39:49.2085549Z Exporting model using AOT Inductor to /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:39:49.2086604Z The generated DSO model can be found at: /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:39:49.2087454Z 2024-08-22:20:39:07,266 INFO     [generate.py:846] 
2024-08-22T20:39:49.2088384Z Time for inference 1: 0.18 sec total, time to first token 0.01 sec with sequential prefill, 199 tokens, 1084.96 tokens/sec, 0.92 ms/token
2024-08-22T20:39:49.2089498Z 2024-08-22:20:39:07,267 INFO     [generate.py:849] Bandwidth achieved: 52.96 GB/s
2024-08-22T20:39:49.2090698Z 2024-08-22:20:39:07,267 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:39:49.2091793Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:39:49.2093479Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:39:49.2094103Z Using device=cuda NVIDIA A10G
2024-08-22T20:39:49.2094467Z Loading model...
2024-08-22T20:39:49.2094782Z Time to load model: 0.18 seconds
2024-08-22T20:39:49.2095362Z -----------------------------------------------------------
2024-08-22T20:39:49.2096549Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:39:49.2098270Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and shouts. She feels the wind in her hair.
2024-08-22T20:39:49.2099982Z Daisy sees a boy. He is playing with a ball. He is throwing the ball to his friend. Daisy wants to play too. She runs to the boy and says hello.
2024-08-22T20:39:49.2101055Z "Hi, I'm Daisy. Can I play with you?" Daisy asks.
2024-08-22T20:39:49.2101857Z The boy looks at Daisy and smiles. He says, "Hi, I'm Ben. Yes, you can play with me. Do you
2024-08-22T20:39:49.2102514Z ========================================
2024-08-22T20:39:49.2102794Z 
2024-08-22T20:39:49.2102923Z Average tokens/sec: 1084.96
2024-08-22T20:39:49.2103280Z Memory used: 0.10 GB
2024-08-22T20:39:49.2103743Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:39:49.2104388Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:39:49.2104914Z ***********************************************
2024-08-22T20:39:49.2105428Z ******* Emb: 4bit channel-wise quantized ******
2024-08-22T20:39:49.2105870Z ***********************************************
2024-08-22T20:39:49.2106275Z Using device=cuda
2024-08-22T20:39:49.2106637Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:39:49.2107059Z Loading model...
2024-08-22T20:39:49.2107377Z Time to load model: 0.33 seconds
2024-08-22T20:39:49.2108084Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 0, 'packed': 'True'}}
2024-08-22T20:39:49.2108743Z Time to quantize model: 0.07 seconds
2024-08-22T20:39:49.2109246Z -----------------------------------------------------------
2024-08-22T20:39:49.2110017Z Exporting model using AOT Inductor to /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:39:49.2111062Z The generated DSO model can be found at: /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:39:49.2111913Z 2024-08-22:20:39:48,359 INFO     [generate.py:846] 
2024-08-22T20:39:49.2112843Z Time for inference 1: 0.18 sec total, time to first token 0.01 sec with sequential prefill, 199 tokens, 1083.07 tokens/sec, 0.92 ms/token
2024-08-22T20:39:49.2113975Z 2024-08-22:20:39:48,360 INFO     [generate.py:849] Bandwidth achieved: 52.87 GB/s
2024-08-22T20:39:49.2115180Z 2024-08-22:20:39:48,360 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:39:49.2116280Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:39:49.2117096Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:39:49.2117710Z Using device=cuda NVIDIA A10G
2024-08-22T20:39:49.2118077Z Loading model...
2024-08-22T20:39:49.2118400Z Time to load model: 0.18 seconds
2024-08-22T20:39:49.2118877Z -----------------------------------------------------------
2024-08-22T20:39:49.2119945Z Hello, my name is Lily. I am a very special girl. I have a special power. I can make things disappear. I can make things disappear and reappear. Do you want to see?"
2024-08-22T20:39:49.2121189Z Lily nodded her head. She was very excited. She wanted to see her power.
2024-08-22T20:39:49.2121765Z "Yes, please!" she said.
2024-08-22T20:39:49.2123939Z "Then you must do what I say. You have to do what I say. You have to do what I say. You have to do what I say. You have to do what I say. You have to do what I say. You have to do what I say. You have to do what I say. You have to do what I say. You have to do what I say. You have to do what I say. You have to do what I say. You have to do what I say. You have to do what I say. You have to do what I say. You have to do what I say. You have
2024-08-22T20:39:49.2126396Z ========================================
2024-08-22T20:39:49.2126676Z 
2024-08-22T20:39:49.2126804Z Average tokens/sec: 1083.07
2024-08-22T20:42:59.3365632Z Memory used: 0.10 GB
2024-08-22T20:42:59.3366175Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:42:59.3367483Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:42:59.3368100Z ***********************************************
2024-08-22T20:42:59.3369018Z ******** Emb: 4bit group-wise quantized *******
2024-08-22T20:42:59.3370497Z ***********************************************
2024-08-22T20:42:59.3370960Z Using device=cuda
2024-08-22T20:42:59.3371335Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:42:59.3371800Z Loading model...
2024-08-22T20:42:59.3374093Z Time to load model: 0.33 seconds
2024-08-22T20:42:59.3375159Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 8, 'packed': 'True'}}
2024-08-22T20:42:59.3375906Z Time to quantize model: 0.07 seconds
2024-08-22T20:42:59.3376589Z -----------------------------------------------------------
2024-08-22T20:42:59.3377429Z Exporting model using AOT Inductor to /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:42:59.3378799Z The generated DSO model can be found at: /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:42:59.3379980Z 2024-08-22:20:40:26,678 INFO     [generate.py:846] 
2024-08-22T20:42:59.3381195Z Time for inference 1: 0.18 sec total, time to first token 0.01 sec with sequential prefill, 199 tokens, 1084.20 tokens/sec, 0.92 ms/token
2024-08-22T20:42:59.3382716Z 2024-08-22:20:40:26,678 INFO     [generate.py:849] Bandwidth achieved: 52.93 GB/s
2024-08-22T20:42:59.3384017Z 2024-08-22:20:40:26,678 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:42:59.3385120Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:42:59.3385940Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:42:59.3386560Z Using device=cuda NVIDIA A10G
2024-08-22T20:42:59.3386923Z Loading model...
2024-08-22T20:42:59.3387236Z Time to load model: 0.18 seconds
2024-08-22T20:42:59.3387721Z -----------------------------------------------------------
2024-08-22T20:42:59.3388393Z Hello, my name is Daisy. Daisy is three years old. She loves to play with her toys.
2024-08-22T20:42:59.3389431Z One day, Daisy's mommy said, "Daisy, it's time to go to the store." Daisy was excited and said, "Yes, mommy!"
2024-08-22T20:42:59.3390615Z So Daisy and her mommy went to the store. Daisy saw a big, shiny toy. She wanted it so much. She asked her mommy, "Can I have it?"
2024-08-22T20:42:59.3391666Z Mommy said, "No, Daisy. We don't have enough money for that toy."
2024-08-22T20:42:59.3392350Z Daisy was sad. She wanted the toy so much. She started to cry.
2024-08-22T20:42:59.3393133Z Mommy said, "Daisy, don't cry. We can't buy the toy. We have to go home now."
2024-08-22T20:42:59.3393800Z Daisy was very sad. She didn't want to
2024-08-22T20:42:59.3394205Z ========================================
2024-08-22T20:42:59.3394483Z 
2024-08-22T20:42:59.3394611Z Average tokens/sec: 1084.20
2024-08-22T20:42:59.3394962Z Memory used: 0.10 GB
2024-08-22T20:42:59.3395412Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:42:59.3396062Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:42:59.3396581Z ******************************************
2024-08-22T20:42:59.3397061Z ******* INT8 channel-wise quantized ******
2024-08-22T20:42:59.3397480Z ******************************************
2024-08-22T20:42:59.3398971Z Using device=cuda
2024-08-22T20:42:59.3399336Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:42:59.3399759Z Loading model...
2024-08-22T20:42:59.3400077Z Time to load model: 0.33 seconds
2024-08-22T20:42:59.3400719Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:42:59.3401500Z Time to quantize model: 0.08 seconds
2024-08-22T20:42:59.3402013Z -----------------------------------------------------------
2024-08-22T20:42:59.3402786Z Exporting model using AOT Inductor to /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:42:59.3403834Z The generated DSO model can be found at: /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:42:59.3404689Z 2024-08-22:20:41:13,007 INFO     [generate.py:846] 
2024-08-22T20:42:59.3405625Z Time for inference 1: 0.18 sec total, time to first token 0.01 sec with sequential prefill, 199 tokens, 1089.24 tokens/sec, 0.92 ms/token
2024-08-22T20:42:59.3406755Z 2024-08-22:20:41:13,007 INFO     [generate.py:849] Bandwidth achieved: 53.17 GB/s
2024-08-22T20:42:59.3407976Z 2024-08-22:20:41:13,007 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:42:59.3409086Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:42:59.3409906Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:42:59.3410519Z Using device=cuda NVIDIA A10G
2024-08-22T20:42:59.3410879Z Loading model...
2024-08-22T20:42:59.3411204Z Time to load model: 0.18 seconds
2024-08-22T20:42:59.3411688Z -----------------------------------------------------------
2024-08-22T20:42:59.3412878Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:42:59.3414869Z Daisy sees a big slide. She wants to go on it. Daisy's mommy says, "Yes, you can go on the slide." Daisy runs to the slide. She climbs up the steps. She sits on the slide and slides down. She laughs and says, "Whee!"
2024-08-22T20:42:59.3416761Z Daisy sees a boy. The boy is playing with a ball. He throws the ball to Daisy. Daisy runs to the ball and catches it. She throws it back to the boy. The boy says, "Good job!"
2024-08-22T20:42:59.3418058Z Daisy and the boy play together. They have fun. Daisy is happy. She likes to play with
2024-08-22T20:42:59.3418812Z ========================================
2024-08-22T20:42:59.3419109Z 
2024-08-22T20:42:59.3419247Z Average tokens/sec: 1089.24
2024-08-22T20:42:59.3419594Z Memory used: 0.10 GB
2024-08-22T20:42:59.3420056Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:42:59.3420708Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:42:59.3421228Z ******************************************
2024-08-22T20:42:59.3421714Z ******** INT8 group-wise quantized *******
2024-08-22T20:42:59.3422146Z ******************************************
2024-08-22T20:42:59.3422530Z Using device=cuda
2024-08-22T20:42:59.3422889Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:42:59.3423321Z Loading model...
2024-08-22T20:42:59.3423634Z Time to load model: 0.33 seconds
2024-08-22T20:42:59.3424277Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:42:59.3424879Z Time to quantize model: 0.08 seconds
2024-08-22T20:42:59.3425378Z -----------------------------------------------------------
2024-08-22T20:42:59.3426152Z Exporting model using AOT Inductor to /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:42:59.3427209Z The generated DSO model can be found at: /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:42:59.3428062Z 2024-08-22:20:41:59,611 INFO     [generate.py:846] 
2024-08-22T20:42:59.3428987Z Time for inference 1: 0.19 sec total, time to first token 0.01 sec with sequential prefill, 199 tokens, 1067.38 tokens/sec, 0.94 ms/token
2024-08-22T20:42:59.3430221Z 2024-08-22:20:41:59,611 INFO     [generate.py:849] Bandwidth achieved: 52.10 GB/s
2024-08-22T20:42:59.3431428Z 2024-08-22:20:41:59,611 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:42:59.3432599Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:42:59.3433426Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:42:59.3434049Z Using device=cuda NVIDIA A10G
2024-08-22T20:42:59.3434401Z Loading model...
2024-08-22T20:42:59.3434751Z Time to load model: 0.18 seconds
2024-08-22T20:42:59.3435238Z -----------------------------------------------------------
2024-08-22T20:42:59.3436419Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:42:59.3438124Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and shouts. She feels the wind in her hair.
2024-08-22T20:42:59.3439833Z Daisy sees a boy. He is playing with a ball. He is throwing the ball to his friend. Daisy wants to play too. She runs to the boy and says, "Can I play with you?"
2024-08-22T20:42:59.3441398Z The boy looks at Daisy. He sees her smiling. He smiles back. He says, "Sure, you can play with me. But you have to be nice. Do not throw the ball at the slide."
2024-08-22T20:42:59.3442375Z ========================================
2024-08-22T20:42:59.3442647Z 
2024-08-22T20:42:59.3442774Z Average tokens/sec: 1067.38
2024-08-22T20:42:59.3443128Z Memory used: 0.10 GB
2024-08-22T20:42:59.3443588Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:42:59.3444279Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:42:59.3444794Z ******************************************
2024-08-22T20:42:59.3445280Z ******** INT4 group-wise quantized *******
2024-08-22T20:42:59.3445698Z ******************************************
2024-08-22T20:42:59.3446079Z Using device=cuda
2024-08-22T20:42:59.3446444Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:42:59.3446863Z Loading model...
2024-08-22T20:42:59.3447183Z Time to load model: 0.33 seconds
2024-08-22T20:42:59.3447746Z Quantizing the model with: {'linear:int4': {'groupsize': 32}}
2024-08-22T20:42:59.3448269Z Time to quantize model: 0.12 seconds
2024-08-22T20:42:59.3448771Z -----------------------------------------------------------
2024-08-22T20:42:59.3449537Z Exporting model using AOT Inductor to /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:42:59.3450581Z The generated DSO model can be found at: /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:42:59.3451428Z 2024-08-22:20:42:58,488 INFO     [generate.py:846] 
2024-08-22T20:42:59.3452348Z Time for inference 1: 0.25 sec total, time to first token 0.02 sec with sequential prefill, 199 tokens, 802.41 tokens/sec, 1.25 ms/token
2024-08-22T20:42:59.3453476Z 2024-08-22:20:42:58,488 INFO     [generate.py:849] Bandwidth achieved: 39.17 GB/s
2024-08-22T20:42:59.3454670Z 2024-08-22:20:42:58,488 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:42:59.3455763Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:42:59.3456572Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:42:59.3457182Z Using device=cuda NVIDIA A10G
2024-08-22T20:42:59.3457543Z Loading model...
2024-08-22T20:42:59.3457863Z Time to load model: 0.19 seconds
2024-08-22T20:42:59.3458342Z -----------------------------------------------------------
2024-08-22T20:42:59.3614419Z Hello, my name is Gus. He has a big, red mustache. He loves to play with his friends. One day, Gus's friends wanted to play a game. They asked Gus to join in, but he said no. He said he was too busy playing.
2024-08-22T20:42:59.3617362Z His friends were sad and didn't know what to do. They decided to play a different game instead. They played hide and seek and had lots of fun.
2024-08-22T20:42:59.3620341Z After the game, Gus's friends said, "Wow, Gus! You're so good at this game. You're a reliable friend." Gus smiled and said, "Thanks, friends. I like to play games too." Once upon a time, there was a little girl named Lily. She loved to play outside in the sunshine. One day, she went on a walk with her mommy and daddy. They walked and walked until they came to a big field. 
2024-08-22T20:42:59.3622346Z ========================================
2024-08-22T20:42:59.3622624Z 
2024-08-22T20:42:59.3622754Z Average tokens/sec: 802.41
2024-08-22T20:42:59.3623104Z Memory used: 0.10 GB
2024-08-22T20:42:59.3623576Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:42:59.3624224Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:42:59.3624768Z + echo ::endgroup::
2024-08-22T20:42:59.3625370Z ##[endgroup]
2024-08-22T20:42:59.3716972Z ##[group]Run pmeier/pytest-results-action@v0.3.0
2024-08-22T20:42:59.3717451Z with:
2024-08-22T20:42:59.3717851Z   path: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:42:59.3718377Z   fail-on-empty: false
2024-08-22T20:42:59.3718695Z env:
2024-08-22T20:42:59.3719013Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:42:59.3719473Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:42:59.3719857Z   PR_NUMBER: 1044
2024-08-22T20:42:59.3724869Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:42:59.3730391Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:42:59.3731148Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:42:59.3731870Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:42:59.3732485Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-08-22T20:42:59.3732963Z ##[endgroup]
2024-08-22T20:42:59.4422698Z Prepare all required actions
2024-08-22T20:42:59.4460231Z ##[group]Run ./test-infra/.github/actions/chown-directory
2024-08-22T20:42:59.4460744Z with:
2024-08-22T20:42:59.4461183Z   directory: /home/ec2-user/actions-runner/_work/torchchat/torchchat/
2024-08-22T20:42:59.4461915Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2024-08-22T20:42:59.4462462Z env:
2024-08-22T20:42:59.4462787Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:42:59.4463253Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:42:59.4463622Z   PR_NUMBER: 1044
2024-08-22T20:42:59.4468643Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:42:59.4474332Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:42:59.4475100Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:42:59.4475814Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:42:59.4476441Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-08-22T20:42:59.4476917Z ##[endgroup]
2024-08-22T20:42:59.4496239Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2024-08-22T20:42:59.4497191Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2024-08-22T20:42:59.4510687Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:42:59.4511184Z env:
2024-08-22T20:42:59.4511503Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:42:59.4511960Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:42:59.4512339Z   PR_NUMBER: 1044
2024-08-22T20:42:59.4517375Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:42:59.4522908Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:42:59.4523673Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:42:59.4524391Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:42:59.4525179Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-08-22T20:42:59.4525840Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2024-08-22T20:42:59.4526555Z   DIRECTORY: /home/ec2-user/actions-runner/_work/torchchat/torchchat/
2024-08-22T20:42:59.4527098Z ##[endgroup]
2024-08-22T20:42:59.4756663Z Unable to find image '308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest' locally
2024-08-22T20:42:59.6904638Z latest: Pulling from tool/alpine
2024-08-22T20:42:59.6905130Z 540db60ca938: Pulling fs layer
2024-08-22T20:42:59.7940599Z 540db60ca938: Verifying Checksum
2024-08-22T20:42:59.7941029Z 540db60ca938: Download complete
2024-08-22T20:42:59.9056922Z 540db60ca938: Pull complete
2024-08-22T20:42:59.9114321Z Digest: sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748
2024-08-22T20:42:59.9133426Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest
2024-08-22T20:43:01.2813890Z Prepare all required actions
2024-08-22T20:43:01.2849430Z ##[group]Run ./test-infra/.github/actions/chown-directory
2024-08-22T20:43:01.2849908Z with:
2024-08-22T20:43:01.2850261Z   directory: /home/ec2-user/actions-runner/_work/_temp
2024-08-22T20:43:01.2850903Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2024-08-22T20:43:01.2851449Z env:
2024-08-22T20:43:01.2851761Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:43:01.2852216Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:43:01.2852586Z   PR_NUMBER: 1044
2024-08-22T20:43:01.2857564Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:43:01.2863528Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:43:01.2864288Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:43:01.2865059Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:43:01.2865680Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-08-22T20:43:01.2866156Z ##[endgroup]
2024-08-22T20:43:01.2885970Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2024-08-22T20:43:01.2886929Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2024-08-22T20:43:01.2899892Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:43:01.2900393Z env:
2024-08-22T20:43:01.2900713Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:43:01.2901171Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:43:01.2901548Z   PR_NUMBER: 1044
2024-08-22T20:43:01.2906539Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:43:01.2912063Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:43:01.2912828Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:43:01.2913561Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:43:01.2914349Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-08-22T20:43:01.2915149Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2024-08-22T20:43:01.2915798Z   DIRECTORY: /home/ec2-user/actions-runner/_work/_temp
2024-08-22T20:43:01.2916274Z ##[endgroup]
2024-08-22T20:43:02.1663207Z ##[group]Run # Only do these steps if we actually want to upload an artifact
2024-08-22T20:43:02.1664014Z # Only do these steps if we actually want to upload an artifact
2024-08-22T20:43:02.1664653Z if [[ -n "${UPLOAD_ARTIFACT_NAME}" ]]; then
2024-08-22T20:43:02.1665418Z   # If the default execution path is followed then we should get a wheel in the dist/ folder
2024-08-22T20:43:02.1666275Z   # attempt to just grab whatever is in there and scoop it all up
2024-08-22T20:43:02.1667033Z   if find "dist/" -name "*.whl" >/dev/null 2>/dev/null; then
2024-08-22T20:43:02.1667649Z     mv -v dist/*.whl "${RUNNER_ARTIFACT_DIR}/"
2024-08-22T20:43:02.1668124Z   fi
2024-08-22T20:43:02.1668511Z   if [[ -d "artifacts-to-be-uploaded" ]]; then
2024-08-22T20:43:02.1669158Z     mv -v artifacts-to-be-uploaded/* "${RUNNER_ARTIFACT_DIR}/"
2024-08-22T20:43:02.1669703Z   fi
2024-08-22T20:43:02.1670320Z   # Set to fail upload step if there are no files for upload and expected files for upload
2024-08-22T20:43:02.1671129Z   echo 'if-no-files-found=error' >> "${GITHUB_OUTPUT}"
2024-08-22T20:43:02.1671635Z fi
2024-08-22T20:43:02.1671905Z 
2024-08-22T20:43:02.1672177Z upload_docs=0
2024-08-22T20:43:02.1672739Z # Check if there are files in the documentation folder to upload, note that
2024-08-22T20:43:02.1673382Z # empty folders do not count
2024-08-22T20:43:02.1673998Z if find "${RUNNER_DOCS_DIR}" -mindepth 1 -maxdepth 1 -type f | read -r; then
2024-08-22T20:43:02.1674856Z   # TODO: Add a check here to test if on ec2 because if we're not on ec2 then this
2024-08-22T20:43:02.1675585Z   # upload will probably not work correctly
2024-08-22T20:43:02.1676056Z   upload_docs=1
2024-08-22T20:43:02.1676379Z fi
2024-08-22T20:43:02.1676804Z echo "upload-docs=${upload_docs}" >> "${GITHUB_OUTPUT}"
2024-08-22T20:43:02.1687364Z shell: /usr/bin/bash -e {0}
2024-08-22T20:43:02.1687714Z env:
2024-08-22T20:43:02.1688041Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:43:02.1688494Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:43:02.1688870Z   PR_NUMBER: 1044
2024-08-22T20:43:02.1693839Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:43:02.1699387Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:43:02.1700149Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:43:02.1700867Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:43:02.1701471Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-08-22T20:43:02.1702136Z   UPLOAD_ARTIFACT_NAME: 
2024-08-22T20:43:02.1702469Z ##[endgroup]
2024-08-22T20:43:02.1799252Z Prepare all required actions
2024-08-22T20:43:02.1836841Z ##[group]Run ./test-infra/.github/actions/teardown-linux
2024-08-22T20:43:02.1837313Z with:
2024-08-22T20:43:02.1837567Z env:
2024-08-22T20:43:02.1837896Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:43:02.1838344Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:43:02.1838718Z   PR_NUMBER: 1044
2024-08-22T20:43:02.1843719Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:43:02.1849254Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:43:02.1850017Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:43:02.1850737Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:43:02.1851344Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-08-22T20:43:02.1851825Z ##[endgroup]
2024-08-22T20:43:02.1873343Z ##[group]Run set -eou pipefail
2024-08-22T20:43:02.1873745Z set -eou pipefail
2024-08-22T20:43:02.1874093Z 
2024-08-22T20:43:02.1874631Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2024-08-22T20:43:02.1875265Z for _ in $(seq 1440); do
2024-08-22T20:43:02.1875730Z     # Break if no ssh session exists anymore
2024-08-22T20:43:02.1876219Z     if [ "$(who)" = "" ]; then
2024-08-22T20:43:02.1876615Z       break
2024-08-22T20:43:02.1876924Z     fi
2024-08-22T20:43:02.1877219Z     echo "."
2024-08-22T20:43:02.1877534Z     sleep 5
2024-08-22T20:43:02.1877843Z done
2024-08-22T20:43:02.1886472Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:43:02.1887001Z env:
2024-08-22T20:43:02.1887325Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:43:02.1887778Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:43:02.1888153Z   PR_NUMBER: 1044
2024-08-22T20:43:02.1893131Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:43:02.1899027Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:43:02.1899803Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:43:02.1900525Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:43:02.1901128Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-08-22T20:43:02.1901606Z ##[endgroup]
2024-08-22T20:43:02.1929540Z Holding runner for 2 hours until all ssh sessions have logged out
2024-08-22T20:43:02.2035419Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2024-08-22T20:43:02.2036185Z # ignore expansion of "docker ps -q" since it could be empty
2024-08-22T20:43:02.2036770Z # shellcheck disable=SC2046
2024-08-22T20:43:02.2037223Z docker stop $(docker ps -q) || true
2024-08-22T20:43:02.2037691Z # Prune all of the docker images
2024-08-22T20:43:02.2038205Z docker system prune -af
2024-08-22T20:43:02.2047190Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:43:02.2047683Z env:
2024-08-22T20:43:02.2048012Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:43:02.2048478Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:43:02.2048853Z   PR_NUMBER: 1044
2024-08-22T20:43:02.2053844Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:43:02.2059444Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:43:02.2060609Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:43:02.2061397Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:43:02.2062011Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-08-22T20:43:02.2062481Z ##[endgroup]
2024-08-22T20:43:13.1239615Z d5bca2104d83
2024-08-22T20:43:16.6511691Z Deleted Containers:
2024-08-22T20:43:16.6512407Z d5bca2104d839c2de9fef3072670d82269915f6ff750a5f92dcdf76de49dbe7b
2024-08-22T20:43:16.6512899Z 
2024-08-22T20:43:21.9604090Z Deleted Images:
2024-08-22T20:43:21.9604912Z untagged: pytorch/conda-builder:cuda12.1
2024-08-22T20:43:21.9605808Z untagged: pytorch/conda-builder@sha256:9f128b503c8de2d2267228e5a5ddfd791872f8fe7e4630afeec3efb07d810e8b
2024-08-22T20:43:21.9606779Z deleted: sha256:ca6cb5e15adf1287624fd5ee41e98e3482f9ba8e8eb49b94e1c89149740d589e
2024-08-22T20:43:21.9608259Z deleted: sha256:7ea5160e27b147a9b8579d1ecaa57d793582bf5bc915c7f8cdbfb0e9d6cb07a7
2024-08-22T20:43:21.9609266Z deleted: sha256:b62ea2cf6a5771e822ce3339bbcc153c9d1d567d410908f8c8bb6364538d5ce4
2024-08-22T20:43:21.9610133Z deleted: sha256:e2aa7aeae6883178dc9137b7198de0dd0e488fe2f3c2350041d78a21c5268174
2024-08-22T20:43:21.9611215Z deleted: sha256:7d64cbcd3947a1e0aa1abd5a9d734cd961aea4c0ec4635ea3294e37e96f69830
2024-08-22T20:43:21.9612050Z deleted: sha256:3eb08d55a9f629f97e2e1c0cf20ff802536c0d341d9ba38f949500fdc3329dc9
2024-08-22T20:43:21.9612888Z deleted: sha256:617916537dafd2cb5f4e62e43d1fffecd492f1dbdd557b93a8d4a3d8516f182a
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2024-08-22T20:43:21.9635903Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine@sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748
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2024-08-22T20:43:21.9638556Z 
2024-08-22T20:43:21.9638698Z Total reclaimed space: 24.26GB
2024-08-22T20:43:21.9686009Z ##[group]Run set +e
2024-08-22T20:43:21.9686357Z set +e
2024-08-22T20:43:21.9686701Z if [[ "${NO_SUDO}" == "false" ]]; then
2024-08-22T20:43:21.9687263Z   sudo rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2024-08-22T20:43:21.9687761Z else
2024-08-22T20:43:21.9688145Z   rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2024-08-22T20:43:21.9688607Z fi
2024-08-22T20:43:21.9688883Z set -e
2024-08-22T20:43:21.9697515Z shell: /usr/bin/bash -e {0}
2024-08-22T20:43:21.9697870Z env:
2024-08-22T20:43:21.9698194Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-08-22T20:43:21.9698744Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:43:21.9699124Z   PR_NUMBER: 1044
2024-08-22T20:43:21.9704120Z   SCRIPT: echo "::group::Print machine info"
nvidia-smi
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

echo "::group::Install required packages"
./install_requirements.sh cuda
pip3 list
python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
echo "::endgroup::"

echo "::group::Download checkpoint"
export REPO_NAME=tinyllamas/stories15M
bash .ci/scripts/wget_checkpoint.sh ${REPO_NAME} https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
echo "::endgroup::"

echo "::group::Convert checkpoint"
bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
echo "::endgroup::"

echo "::group::Run inference"
bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-bfloat16"
echo "::endgroup::"

2024-08-22T20:43:21.9709801Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-08-22T20:43:21.9710616Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-08-22T20:43:21.9711333Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-08-22T20:43:21.9711945Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-08-22T20:43:21.9712425Z   NO_SUDO: false
2024-08-22T20:43:21.9712726Z ##[endgroup]
2024-08-22T20:43:22.1896151Z Post job cleanup.
2024-08-22T20:43:22.2858825Z Post job cleanup.
2024-08-22T20:43:22.3738533Z [command]/usr/bin/git version
2024-08-22T20:43:22.3792188Z git version 2.40.1
2024-08-22T20:43:22.3829982Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/67215bfe-de2d-4d7d-b9ef-679a678886df' before making global git config changes
2024-08-22T20:43:22.3831281Z Adding repository directory to the temporary git global config as a safe directory
2024-08-22T20:43:22.3835141Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra
2024-08-22T20:43:22.3881418Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2024-08-22T20:43:22.3924982Z [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' || :"
2024-08-22T20:43:22.4285254Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2024-08-22T20:43:22.4320717Z http.https://github.com/.extraheader
2024-08-22T20:43:22.4330506Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2024-08-22T20:43:22.4375119Z [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' || :"
2024-08-22T20:43:22.4811539Z A job completed hook has been configured by the self-hosted runner administrator
2024-08-22T20:43:22.4833691Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2024-08-22T20:43:22.4841754Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:43:22.4842269Z ##[endgroup]
2024-08-22T20:43:28.4996068Z Cleaning up orphan processes