2024-05-15T23:34:08.0795675Z Current runner version: '2.316.1'
2024-05-15T23:34:08.0801802Z Runner name: 'i-0464c2b4b37d757db'
2024-05-15T23:34:08.0802663Z Runner group name: 'Default'
2024-05-15T23:34:08.0803574Z Machine name: 'ip-10-0-63-205'
2024-05-15T23:34:08.0806783Z ##[group]GITHUB_TOKEN Permissions
2024-05-15T23:34:08.0808617Z Contents: read
2024-05-15T23:34:08.0809187Z Metadata: read
2024-05-15T23:34:08.0809708Z Packages: read
2024-05-15T23:34:08.0810252Z ##[endgroup]
2024-05-15T23:34:08.0813318Z Secret source: Actions
2024-05-15T23:34:08.0814053Z Prepare workflow directory
2024-05-15T23:34:08.4505759Z Prepare all required actions
2024-05-15T23:34:08.4690027Z Getting action download info
2024-05-15T23:34:08.6441814Z Download action repository 'actions/checkout@v3' (SHA:f43a0e5ff2bd294095638e18286ca9a3d1956744)
2024-05-15T23:34:08.8160630Z Download action repository 'actions/download-artifact@v3' (SHA:9bc31d5ccc31df68ecc42ccf4149144866c47d8a)
2024-05-15T23:34:09.0123232Z Download action repository 'pmeier/pytest-results-action@v0.3.0' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1)
2024-05-15T23:34:09.1983558Z Download action repository 'actions/upload-artifact@v3' (SHA:a8a3f3ad30e3422c9c7b888a15615d19a852ae32)
2024-05-15T23:34:09.3196788Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2024-05-15T23:34:09.5993750Z Uses: pytorch/test-infra/.github/workflows/linux_job.yml@refs/heads/main (2698cb3ae580a5b2e6f3488e44cf57d8178edb04)
2024-05-15T23:34:09.5995931Z ##[group] Inputs
2024-05-15T23:34:09.6002692Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:34:09.6010128Z   timeout: 30
2024-05-15T23:34:09.6010532Z   runner: linux.g5.4xlarge.nvidia.gpu
2024-05-15T23:34:09.6010998Z   upload-artifact: 
2024-05-15T23:34:09.6011399Z   download-artifact: 
2024-05-15T23:34:09.6011749Z   repository: 
2024-05-15T23:34:09.6012093Z   fetch-depth: 1
2024-05-15T23:34:09.6012445Z   submodules: 
2024-05-15T23:34:09.6012804Z   ref: 
2024-05-15T23:34:09.6013161Z   test-infra-repository: pytorch/test-infra
2024-05-15T23:34:09.6013643Z   test-infra-ref: 
2024-05-15T23:34:09.6014026Z   docker-image: pytorch/conda-builder
2024-05-15T23:34:09.6014484Z   docker-build-dir: .ci/docker
2024-05-15T23:34:09.6103493Z   gpu-arch-type: cuda
2024-05-15T23:34:09.6103871Z   gpu-arch-version: 12.1
2024-05-15T23:34:09.6104215Z   job-name: linux-job
2024-05-15T23:34:09.6105690Z   continue-on-error: false
2024-05-15T23:34:09.6106041Z   binary-matrix: 
2024-05-15T23:34:09.6106364Z   run-with-docker: true
2024-05-15T23:34:09.6106697Z   secrets-env: 
2024-05-15T23:34:09.6106986Z   no-sudo: false
2024-05-15T23:34:09.6107320Z ##[endgroup]
2024-05-15T23:34:09.6108378Z Complete job name: test-gpu-aoti-float16 (cuda, stories15M) / linux-job
2024-05-15T23:34:09.6876616Z ##[group]Run set -euxo pipefail
2024-05-15T23:34:09.6877197Z set -euxo pipefail
2024-05-15T23:34:09.6877676Z if [[ "${NO_SUDO}" == "false" ]]; then
2024-05-15T23:34:09.6878206Z   echo "::group::Cleanup with-sudo debug output"
2024-05-15T23:34:09.6878743Z   sudo rm -rfv "${GITHUB_WORKSPACE}"
2024-05-15T23:34:09.6879164Z else
2024-05-15T23:34:09.6879533Z   echo "::group::Cleanup no-sudo debug output"
2024-05-15T23:34:09.6880034Z   rm -rfv "${GITHUB_WORKSPACE}"
2024-05-15T23:34:09.6880435Z fi
2024-05-15T23:34:09.6880696Z 
2024-05-15T23:34:09.6881006Z mkdir -p "${GITHUB_WORKSPACE}"
2024-05-15T23:34:09.6881423Z echo "::endgroup::"
2024-05-15T23:34:09.6891993Z shell: /usr/bin/bash -e {0}
2024-05-15T23:34:09.6892345Z env:
2024-05-15T23:34:09.6892674Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:09.6893129Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:34:09.6893554Z   PR_NUMBER: 804
2024-05-15T23:34:09.6900060Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:34:09.6906877Z   NO_SUDO: false
2024-05-15T23:34:09.6907181Z ##[endgroup]
2024-05-15T23:34:09.7075202Z + [[ false == \f\a\l\s\e ]]
2024-05-15T23:34:09.7096082Z ##[group]Cleanup with-sudo debug output
2024-05-15T23:34:09.7105189Z + echo '::group::Cleanup with-sudo debug output'
2024-05-15T23:34:09.7105890Z + sudo rm -rfv /home/ec2-user/actions-runner/_work/torchchat/torchchat
2024-05-15T23:34:09.7118736Z removed directory: '/home/ec2-user/actions-runner/_work/torchchat/torchchat'
2024-05-15T23:34:09.7134019Z + mkdir -p /home/ec2-user/actions-runner/_work/torchchat/torchchat
2024-05-15T23:34:09.7141426Z + echo ::endgroup::
2024-05-15T23:34:09.7142439Z ##[endgroup]
2024-05-15T23:34:09.7400676Z ##[group]Run actions/checkout@v3
2024-05-15T23:34:09.7401099Z with:
2024-05-15T23:34:09.7401397Z   repository: pytorch/test-infra
2024-05-15T23:34:09.7401772Z   path: test-infra
2024-05-15T23:34:09.7402089Z   submodules: recursive
2024-05-15T23:34:09.7402704Z   token: ***
2024-05-15T23:34:09.7403009Z   ssh-strict: true
2024-05-15T23:34:09.7403329Z   persist-credentials: true
2024-05-15T23:34:09.7403675Z   clean: true
2024-05-15T23:34:09.7403992Z   sparse-checkout-cone-mode: true
2024-05-15T23:34:09.7404366Z   fetch-depth: 1
2024-05-15T23:34:09.7404663Z   fetch-tags: false
2024-05-15T23:34:09.7404961Z   lfs: false
2024-05-15T23:34:09.7405248Z   set-safe-directory: true
2024-05-15T23:34:09.7405587Z env:
2024-05-15T23:34:09.7405903Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:09.7406351Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:34:09.7406880Z   PR_NUMBER: 804
2024-05-15T23:34:09.7413549Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:34:09.7420402Z ##[endgroup]
2024-05-15T23:34:09.8409281Z Syncing repository: pytorch/test-infra
2024-05-15T23:34:09.8410125Z ##[group]Getting Git version info
2024-05-15T23:34:09.8410882Z Working directory is '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra'
2024-05-15T23:34:09.8411772Z [command]/usr/bin/git version
2024-05-15T23:34:09.8414026Z git version 2.40.1
2024-05-15T23:34:09.8435380Z ##[endgroup]
2024-05-15T23:34:09.8449123Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/ad9566ed-9912-4d99-93ad-485a3f4c9d04' before making global git config changes
2024-05-15T23:34:09.8450369Z Adding repository directory to the temporary git global config as a safe directory
2024-05-15T23:34:09.8454453Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra
2024-05-15T23:34:09.8479738Z ##[group]Initializing the repository
2024-05-15T23:34:09.8482548Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra
2024-05-15T23:34:09.8501219Z hint: Using 'master' as the name for the initial branch. This default branch name
2024-05-15T23:34:09.8502197Z hint: is subject to change. To configure the initial branch name to use in all
2024-05-15T23:34:09.8502983Z hint: of your new repositories, which will suppress this warning, call:
2024-05-15T23:34:09.8503537Z hint: 
2024-05-15T23:34:09.8503985Z hint: 	git config --global init.defaultBranch <name>
2024-05-15T23:34:09.8504442Z hint: 
2024-05-15T23:34:09.8504939Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2024-05-15T23:34:09.8505954Z hint: 'development'. The just-created branch can be renamed via this command:
2024-05-15T23:34:09.8506530Z hint: 
2024-05-15T23:34:09.8506843Z hint: 	git branch -m <name>
2024-05-15T23:34:09.8507648Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/.git/
2024-05-15T23:34:09.8509407Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra
2024-05-15T23:34:09.8534962Z ##[endgroup]
2024-05-15T23:34:09.8535528Z ##[group]Disabling automatic garbage collection
2024-05-15T23:34:09.8537654Z [command]/usr/bin/git config --local gc.auto 0
2024-05-15T23:34:09.8561560Z ##[endgroup]
2024-05-15T23:34:09.8562082Z ##[group]Setting up auth
2024-05-15T23:34:09.8566733Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2024-05-15T23:34:09.8592600Z [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' || :"
2024-05-15T23:34:09.8782782Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2024-05-15T23:34:09.8804367Z [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' || :"
2024-05-15T23:34:09.9008019Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2024-05-15T23:34:09.9080090Z ##[endgroup]
2024-05-15T23:34:09.9080656Z ##[group]Determining the default branch
2024-05-15T23:34:09.9083274Z Retrieving the default branch name
2024-05-15T23:34:10.0449493Z Default branch 'main'
2024-05-15T23:34:10.0450291Z ##[endgroup]
2024-05-15T23:34:10.0450828Z ##[group]Fetching the repository
2024-05-15T23:34:10.0454742Z [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
2024-05-15T23:34:10.2330617Z remote: Enumerating objects: 1184, done.        
2024-05-15T23:34:10.2331275Z remote: Counting objects:   0% (1/1184)        
2024-05-15T23:34:10.2331931Z remote: Counting objects:   1% (12/1184)        
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2024-05-15T23:34:10.2368801Z remote: Counting objects:  64% (758/1184)        
2024-05-15T23:34:10.2369284Z remote: Counting objects:  65% (770/1184)        
2024-05-15T23:34:10.2369763Z remote: Counting objects:  66% (782/1184)        
2024-05-15T23:34:10.2370234Z remote: Counting objects:  67% (794/1184)        
2024-05-15T23:34:10.2370711Z remote: Counting objects:  68% (806/1184)        
2024-05-15T23:34:10.2371191Z remote: Counting objects:  69% (817/1184)        
2024-05-15T23:34:10.2371671Z remote: Counting objects:  70% (829/1184)        
2024-05-15T23:34:10.2372145Z remote: Counting objects:  71% (841/1184)        
2024-05-15T23:34:10.2372626Z remote: Counting objects:  72% (853/1184)        
2024-05-15T23:34:10.2373109Z remote: Counting objects:  73% (865/1184)        
2024-05-15T23:34:10.2373581Z remote: Counting objects:  74% (877/1184)        
2024-05-15T23:34:10.2374060Z remote: Counting objects:  75% (888/1184)        
2024-05-15T23:34:10.2374547Z remote: Counting objects:  76% (900/1184)        
2024-05-15T23:34:10.2375146Z remote: Counting objects:  77% (912/1184)        
2024-05-15T23:34:10.2375636Z remote: Counting objects:  78% (924/1184)        
2024-05-15T23:34:10.2376115Z remote: Counting objects:  79% (936/1184)        
2024-05-15T23:34:10.2376586Z remote: Counting objects:  80% (948/1184)        
2024-05-15T23:34:10.2377069Z remote: Counting objects:  81% (960/1184)        
2024-05-15T23:34:10.2377552Z remote: Counting objects:  82% (971/1184)        
2024-05-15T23:34:10.2378026Z remote: Counting objects:  83% (983/1184)        
2024-05-15T23:34:10.2378507Z remote: Counting objects:  84% (995/1184)        
2024-05-15T23:34:10.2378997Z remote: Counting objects:  85% (1007/1184)        
2024-05-15T23:34:10.2379498Z remote: Counting objects:  86% (1019/1184)        
2024-05-15T23:34:10.2380003Z remote: Counting objects:  87% (1031/1184)        
2024-05-15T23:34:10.2380502Z remote: Counting objects:  88% (1042/1184)        
2024-05-15T23:34:10.2381053Z remote: Counting objects:  89% (1054/1184)        
2024-05-15T23:34:10.2381563Z remote: Counting objects:  90% (1066/1184)        
2024-05-15T23:34:10.2382060Z remote: Counting objects:  91% (1078/1184)        
2024-05-15T23:34:10.2382558Z remote: Counting objects:  92% (1090/1184)        
2024-05-15T23:34:10.2383045Z remote: Counting objects:  93% (1102/1184)        
2024-05-15T23:34:10.2383541Z remote: Counting objects:  94% (1113/1184)        
2024-05-15T23:34:10.2384039Z remote: Counting objects:  95% (1125/1184)        
2024-05-15T23:34:10.2384527Z remote: Counting objects:  96% (1137/1184)        
2024-05-15T23:34:10.2385022Z remote: Counting objects:  97% (1149/1184)        
2024-05-15T23:34:10.2385517Z remote: Counting objects:  98% (1161/1184)        
2024-05-15T23:34:10.2386003Z remote: Counting objects:  99% (1173/1184)        
2024-05-15T23:34:10.2386502Z remote: Counting objects: 100% (1184/1184)        
2024-05-15T23:34:10.2387034Z remote: Counting objects: 100% (1184/1184), done.        
2024-05-15T23:34:10.2387572Z remote: Compressing objects:   0% (1/931)        
2024-05-15T23:34:10.2388084Z remote: Compressing objects:   1% (10/931)        
2024-05-15T23:34:10.2388730Z remote: Compressing objects:   2% (19/931)        
2024-05-15T23:34:10.2389232Z remote: Compressing objects:   3% (28/931)        
2024-05-15T23:34:10.2389743Z remote: Compressing objects:   4% (38/931)        
2024-05-15T23:34:10.2390373Z remote: Compressing objects:   5% (47/931)        
2024-05-15T23:34:10.2390875Z remote: Compressing objects:   6% (56/931)        
2024-05-15T23:34:10.2391384Z remote: Compressing objects:   7% (66/931)        
2024-05-15T23:34:10.2391890Z remote: Compressing objects:   8% (75/931)        
2024-05-15T23:34:10.2392399Z remote: Compressing objects:   9% (84/931)        
2024-05-15T23:34:10.2392900Z remote: Compressing objects:  10% (94/931)        
2024-05-15T23:34:10.2393408Z remote: Compressing objects:  11% (103/931)        
2024-05-15T23:34:10.2393934Z remote: Compressing objects:  12% (112/931)        
2024-05-15T23:34:10.2394447Z remote: Compressing objects:  13% (122/931)        
2024-05-15T23:34:10.2394967Z remote: Compressing objects:  14% (131/931)        
2024-05-15T23:34:10.2395477Z remote: Compressing objects:  15% (140/931)        
2024-05-15T23:34:10.2395981Z remote: Compressing objects:  16% (149/931)        
2024-05-15T23:34:10.2396492Z remote: Compressing objects:  17% (159/931)        
2024-05-15T23:34:10.2397000Z remote: Compressing objects:  18% (168/931)        
2024-05-15T23:34:10.2397501Z remote: Compressing objects:  19% (177/931)        
2024-05-15T23:34:10.2398008Z remote: Compressing objects:  20% (187/931)        
2024-05-15T23:34:10.2398513Z remote: Compressing objects:  21% (196/931)        
2024-05-15T23:34:10.2399012Z remote: Compressing objects:  22% (205/931)        
2024-05-15T23:34:10.2399518Z remote: Compressing objects:  23% (215/931)        
2024-05-15T23:34:10.2400025Z remote: Compressing objects:  24% (224/931)        
2024-05-15T23:34:10.2400532Z remote: Compressing objects:  25% (233/931)        
2024-05-15T23:34:10.2401192Z remote: Compressing objects:  26% (243/931)        
2024-05-15T23:34:10.2401705Z remote: Compressing objects:  27% (252/931)        
2024-05-15T23:34:10.2402212Z remote: Compressing objects:  28% (261/931)        
2024-05-15T23:34:10.2402719Z remote: Compressing objects:  29% (270/931)        
2024-05-15T23:34:10.2403223Z remote: Compressing objects:  30% (280/931)        
2024-05-15T23:34:10.2403728Z remote: Compressing objects:  31% (289/931)        
2024-05-15T23:34:10.2404230Z remote: Compressing objects:  32% (298/931)        
2024-05-15T23:34:10.2404736Z remote: Compressing objects:  33% (308/931)        
2024-05-15T23:34:10.2405241Z remote: Compressing objects:  34% (317/931)        
2024-05-15T23:34:10.2405741Z remote: Compressing objects:  35% (326/931)        
2024-05-15T23:34:10.2406247Z remote: Compressing objects:  36% (336/931)        
2024-05-15T23:34:10.2406755Z remote: Compressing objects:  37% (345/931)        
2024-05-15T23:34:10.2407331Z remote: Compressing objects:  38% (354/931)        
2024-05-15T23:34:10.2407841Z remote: Compressing objects:  39% (364/931)        
2024-05-15T23:34:10.2408349Z remote: Compressing objects:  40% (373/931)        
2024-05-15T23:34:10.2408846Z remote: Compressing objects:  41% (382/931)        
2024-05-15T23:34:10.2409354Z remote: Compressing objects:  42% (392/931)        
2024-05-15T23:34:10.2445407Z remote: Compressing objects:  43% (401/931)        
2024-05-15T23:34:10.2446190Z remote: Compressing objects:  44% (410/931)        
2024-05-15T23:34:10.2446923Z remote: Compressing objects:  45% (419/931)        
2024-05-15T23:34:10.2447447Z remote: Compressing objects:  46% (429/931)        
2024-05-15T23:34:10.2447954Z remote: Compressing objects:  47% (438/931)        
2024-05-15T23:34:10.2448464Z remote: Compressing objects:  48% (447/931)        
2024-05-15T23:34:10.2448961Z remote: Compressing objects:  49% (457/931)        
2024-05-15T23:34:10.2449488Z remote: Compressing objects:  50% (466/931)        
2024-05-15T23:34:10.2449994Z remote: Compressing objects:  51% (475/931)        
2024-05-15T23:34:10.2450495Z remote: Compressing objects:  52% (485/931)        
2024-05-15T23:34:10.2451003Z remote: Compressing objects:  53% (494/931)        
2024-05-15T23:34:10.2451505Z remote: Compressing objects:  54% (503/931)        
2024-05-15T23:34:10.2452002Z remote: Compressing objects:  55% (513/931)        
2024-05-15T23:34:10.2452506Z remote: Compressing objects:  56% (522/931)        
2024-05-15T23:34:10.2453010Z remote: Compressing objects:  57% (531/931)        
2024-05-15T23:34:10.2453511Z remote: Compressing objects:  58% (540/931)        
2024-05-15T23:34:10.2454019Z remote: Compressing objects:  59% (550/931)        
2024-05-15T23:34:10.2454523Z remote: Compressing objects:  60% (559/931)        
2024-05-15T23:34:10.2455027Z remote: Compressing objects:  61% (568/931)        
2024-05-15T23:34:10.2455523Z remote: Compressing objects:  62% (578/931)        
2024-05-15T23:34:10.2456031Z remote: Compressing objects:  63% (587/931)        
2024-05-15T23:34:10.2456540Z remote: Compressing objects:  64% (596/931)        
2024-05-15T23:34:10.2457034Z remote: Compressing objects:  65% (606/931)        
2024-05-15T23:34:10.2457545Z remote: Compressing objects:  66% (615/931)        
2024-05-15T23:34:10.2458045Z remote: Compressing objects:  67% (624/931)        
2024-05-15T23:34:10.2458542Z remote: Compressing objects:  68% (634/931)        
2024-05-15T23:34:10.2459048Z remote: Compressing objects:  69% (643/931)        
2024-05-15T23:34:10.2459553Z remote: Compressing objects:  70% (652/931)        
2024-05-15T23:34:10.2460051Z remote: Compressing objects:  71% (662/931)        
2024-05-15T23:34:10.2460552Z remote: Compressing objects:  72% (671/931)        
2024-05-15T23:34:10.2461054Z remote: Compressing objects:  73% (680/931)        
2024-05-15T23:34:10.2461550Z remote: Compressing objects:  74% (689/931)        
2024-05-15T23:34:10.2462053Z remote: Compressing objects:  75% (699/931)        
2024-05-15T23:34:10.2462561Z remote: Compressing objects:  76% (708/931)        
2024-05-15T23:34:10.2463213Z remote: Compressing objects:  77% (717/931)        
2024-05-15T23:34:10.2463728Z remote: Compressing objects:  78% (727/931)        
2024-05-15T23:34:10.2464230Z remote: Compressing objects:  79% (736/931)        
2024-05-15T23:34:10.2464730Z remote: Compressing objects:  80% (745/931)        
2024-05-15T23:34:10.2465227Z remote: Compressing objects:  81% (755/931)        
2024-05-15T23:34:10.2465869Z remote: Compressing objects:  82% (764/931)        
2024-05-15T23:34:10.2466569Z remote: Compressing objects:  83% (773/931)        
2024-05-15T23:34:10.2467069Z remote: Compressing objects:  84% (783/931)        
2024-05-15T23:34:10.2467576Z remote: Compressing objects:  85% (792/931)        
2024-05-15T23:34:10.2468103Z remote: Compressing objects:  86% (801/931)        
2024-05-15T23:34:10.2468759Z remote: Compressing objects:  87% (810/931)        
2024-05-15T23:34:10.2469381Z remote: Compressing objects:  88% (820/931)        
2024-05-15T23:34:10.2470241Z remote: Compressing objects:  89% (829/931)        
2024-05-15T23:34:10.2470941Z remote: Compressing objects:  90% (838/931)        
2024-05-15T23:34:10.2471446Z remote: Compressing objects:  91% (848/931)        
2024-05-15T23:34:10.2471954Z remote: Compressing objects:  92% (857/931)        
2024-05-15T23:34:10.2472586Z remote: Compressing objects:  93% (866/931)        
2024-05-15T23:34:10.2473193Z remote: Compressing objects:  94% (876/931)        
2024-05-15T23:34:10.2473699Z remote: Compressing objects:  95% (885/931)        
2024-05-15T23:34:10.2474199Z remote: Compressing objects:  96% (894/931)        
2024-05-15T23:34:10.2474702Z remote: Compressing objects:  97% (904/931)        
2024-05-15T23:34:10.2475209Z remote: Compressing objects:  98% (913/931)        
2024-05-15T23:34:10.2475706Z remote: Compressing objects:  99% (922/931)        
2024-05-15T23:34:10.2476207Z remote: Compressing objects: 100% (931/931)        
2024-05-15T23:34:10.2476840Z remote: Compressing objects: 100% (931/931), done.        
2024-05-15T23:34:10.2477542Z Receiving objects:   0% (1/1184)
2024-05-15T23:34:10.2477931Z Receiving objects:   1% (12/1184)
2024-05-15T23:34:10.2478326Z Receiving objects:   2% (24/1184)
2024-05-15T23:34:10.2478711Z Receiving objects:   3% (36/1184)
2024-05-15T23:34:10.2479088Z Receiving objects:   4% (48/1184)
2024-05-15T23:34:10.2479478Z Receiving objects:   5% (60/1184)
2024-05-15T23:34:10.2479858Z Receiving objects:   6% (72/1184)
2024-05-15T23:34:10.2480232Z Receiving objects:   7% (83/1184)
2024-05-15T23:34:10.2480623Z Receiving objects:   8% (95/1184)
2024-05-15T23:34:10.2481009Z Receiving objects:   9% (107/1184)
2024-05-15T23:34:10.2481393Z Receiving objects:  10% (119/1184)
2024-05-15T23:34:10.2481786Z Receiving objects:  11% (131/1184)
2024-05-15T23:34:10.2482206Z Receiving objects:  12% (143/1184)
2024-05-15T23:34:10.2482600Z Receiving objects:  13% (154/1184)
2024-05-15T23:34:10.2483000Z Receiving objects:  14% (166/1184)
2024-05-15T23:34:10.2483385Z Receiving objects:  15% (178/1184)
2024-05-15T23:34:10.2483773Z Receiving objects:  16% (190/1184)
2024-05-15T23:34:10.2484322Z Receiving objects:  17% (202/1184)
2024-05-15T23:34:10.2484840Z Receiving objects:  18% (214/1184)
2024-05-15T23:34:10.2487861Z Receiving objects:  19% (225/1184)
2024-05-15T23:34:10.2491504Z Receiving objects:  20% (237/1184)
2024-05-15T23:34:10.2492724Z Receiving objects:  21% (249/1184)
2024-05-15T23:34:10.2495875Z Receiving objects:  22% (261/1184)
2024-05-15T23:34:10.2524606Z Receiving objects:  23% (273/1184)
2024-05-15T23:34:10.2526609Z Receiving objects:  24% (285/1184)
2024-05-15T23:34:10.2527906Z Receiving objects:  25% (296/1184)
2024-05-15T23:34:10.2529481Z Receiving objects:  26% (308/1184)
2024-05-15T23:34:10.2535785Z Receiving objects:  27% (320/1184)
2024-05-15T23:34:10.2538081Z Receiving objects:  28% (332/1184)
2024-05-15T23:34:10.2540107Z Receiving objects:  29% (344/1184)
2024-05-15T23:34:10.2541962Z Receiving objects:  30% (356/1184)
2024-05-15T23:34:10.2545597Z Receiving objects:  31% (368/1184)
2024-05-15T23:34:10.2553454Z Receiving objects:  32% (379/1184)
2024-05-15T23:34:10.2566935Z Receiving objects:  33% (391/1184)
2024-05-15T23:34:10.2568368Z Receiving objects:  34% (403/1184)
2024-05-15T23:34:10.2569964Z Receiving objects:  35% (415/1184)
2024-05-15T23:34:10.2570725Z Receiving objects:  36% (427/1184)
2024-05-15T23:34:10.2572872Z Receiving objects:  37% (439/1184)
2024-05-15T23:34:10.2574277Z Receiving objects:  38% (450/1184)
2024-05-15T23:34:10.2581597Z Receiving objects:  39% (462/1184)
2024-05-15T23:34:10.2584525Z Receiving objects:  40% (474/1184)
2024-05-15T23:34:10.2590432Z Receiving objects:  41% (486/1184)
2024-05-15T23:34:10.2593957Z Receiving objects:  42% (498/1184)
2024-05-15T23:34:10.2600651Z Receiving objects:  43% (510/1184)
2024-05-15T23:34:10.2605045Z Receiving objects:  44% (521/1184)
2024-05-15T23:34:10.2605939Z Receiving objects:  45% (533/1184)
2024-05-15T23:34:10.2606673Z Receiving objects:  46% (545/1184)
2024-05-15T23:34:10.2608349Z Receiving objects:  47% (557/1184)
2024-05-15T23:34:10.2613209Z Receiving objects:  48% (569/1184)
2024-05-15T23:34:10.2616756Z Receiving objects:  49% (581/1184)
2024-05-15T23:34:10.2622128Z Receiving objects:  50% (592/1184)
2024-05-15T23:34:10.2623655Z Receiving objects:  51% (604/1184)
2024-05-15T23:34:10.2626461Z Receiving objects:  52% (616/1184)
2024-05-15T23:34:10.2629445Z Receiving objects:  53% (628/1184)
2024-05-15T23:34:10.2632194Z Receiving objects:  54% (640/1184)
2024-05-15T23:34:10.2637731Z Receiving objects:  55% (652/1184)
2024-05-15T23:34:10.2641707Z Receiving objects:  56% (664/1184)
2024-05-15T23:34:10.2644835Z Receiving objects:  57% (675/1184)
2024-05-15T23:34:10.2647409Z Receiving objects:  58% (687/1184)
2024-05-15T23:34:10.2650210Z Receiving objects:  59% (699/1184)
2024-05-15T23:34:10.2653729Z Receiving objects:  60% (711/1184)
2024-05-15T23:34:10.2658120Z Receiving objects:  61% (723/1184)
2024-05-15T23:34:10.2660579Z Receiving objects:  62% (735/1184)
2024-05-15T23:34:10.2667872Z Receiving objects:  63% (746/1184)
2024-05-15T23:34:10.2675080Z Receiving objects:  64% (758/1184)
2024-05-15T23:34:10.2708918Z Receiving objects:  65% (770/1184)
2024-05-15T23:34:10.2713865Z Receiving objects:  66% (782/1184)
2024-05-15T23:34:10.2794225Z Receiving objects:  67% (794/1184)
2024-05-15T23:34:10.2795165Z Receiving objects:  68% (806/1184)
2024-05-15T23:34:10.2798147Z Receiving objects:  69% (817/1184)
2024-05-15T23:34:10.2803157Z Receiving objects:  70% (829/1184)
2024-05-15T23:34:10.2803855Z Receiving objects:  71% (841/1184)
2024-05-15T23:34:10.2804669Z Receiving objects:  72% (853/1184)
2024-05-15T23:34:10.2812921Z Receiving objects:  73% (865/1184)
2024-05-15T23:34:10.2816189Z Receiving objects:  74% (877/1184)
2024-05-15T23:34:10.2820529Z Receiving objects:  75% (888/1184)
2024-05-15T23:34:10.2824913Z Receiving objects:  76% (900/1184)
2024-05-15T23:34:10.2826454Z Receiving objects:  77% (912/1184)
2024-05-15T23:34:10.2829443Z Receiving objects:  78% (924/1184)
2024-05-15T23:34:10.2831795Z Receiving objects:  79% (936/1184)
2024-05-15T23:34:10.2832942Z Receiving objects:  80% (948/1184)
2024-05-15T23:34:10.2833451Z Receiving objects:  81% (960/1184)
2024-05-15T23:34:10.2833937Z Receiving objects:  82% (971/1184)
2024-05-15T23:34:10.2834435Z Receiving objects:  83% (983/1184)
2024-05-15T23:34:10.2835258Z Receiving objects:  84% (995/1184)
2024-05-15T23:34:10.2837500Z Receiving objects:  85% (1007/1184)
2024-05-15T23:34:10.2839053Z Receiving objects:  86% (1019/1184)
2024-05-15T23:34:10.2840417Z Receiving objects:  87% (1031/1184)
2024-05-15T23:34:10.2840911Z Receiving objects:  88% (1042/1184)
2024-05-15T23:34:10.2841379Z Receiving objects:  89% (1054/1184)
2024-05-15T23:34:10.2841865Z Receiving objects:  90% (1066/1184)
2024-05-15T23:34:10.2842950Z Receiving objects:  91% (1078/1184)
2024-05-15T23:34:10.2844987Z Receiving objects:  92% (1090/1184)
2024-05-15T23:34:10.2845476Z Receiving objects:  93% (1102/1184)
2024-05-15T23:34:10.2847447Z Receiving objects:  94% (1113/1184)
2024-05-15T23:34:10.2852802Z Receiving objects:  95% (1125/1184)
2024-05-15T23:34:10.2861952Z Receiving objects:  96% (1137/1184)
2024-05-15T23:34:10.2870555Z Receiving objects:  97% (1149/1184)
2024-05-15T23:34:10.2871406Z remote: Total 1184 (delta 220), reused 672 (delta 133), pack-reused 0        
2024-05-15T23:34:10.2876099Z Receiving objects:  98% (1161/1184)
2024-05-15T23:34:10.2887476Z Receiving objects:  99% (1173/1184)
2024-05-15T23:34:10.2888067Z Receiving objects: 100% (1184/1184)
2024-05-15T23:34:10.2888782Z Receiving objects: 100% (1184/1184), 1.53 MiB | 29.00 MiB/s, done.
2024-05-15T23:34:10.2895109Z Resolving deltas:   0% (0/220)
2024-05-15T23:34:10.2896342Z Resolving deltas:   2% (5/220)
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2024-05-15T23:34:10.2904576Z Resolving deltas:  14% (31/220)
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2024-05-15T23:34:10.2908147Z Resolving deltas:  20% (45/220)
2024-05-15T23:34:10.2908964Z Resolving deltas:  21% (47/220)
2024-05-15T23:34:10.2909584Z Resolving deltas:  22% (49/220)
2024-05-15T23:34:10.2910249Z Resolving deltas:  23% (52/220)
2024-05-15T23:34:10.2911065Z Resolving deltas:  24% (53/220)
2024-05-15T23:34:10.2912025Z Resolving deltas:  25% (55/220)
2024-05-15T23:34:10.2915625Z Resolving deltas:  26% (58/220)
2024-05-15T23:34:10.2925045Z Resolving deltas:  27% (61/220)
2024-05-15T23:34:10.2926637Z Resolving deltas:  28% (62/220)
2024-05-15T23:34:10.2928297Z Resolving deltas:  29% (64/220)
2024-05-15T23:34:10.2929543Z Resolving deltas:  30% (66/220)
2024-05-15T23:34:10.2930094Z Resolving deltas:  31% (69/220)
2024-05-15T23:34:10.2930610Z Resolving deltas:  32% (71/220)
2024-05-15T23:34:10.2931165Z Resolving deltas:  33% (73/220)
2024-05-15T23:34:10.2931901Z Resolving deltas:  34% (75/220)
2024-05-15T23:34:10.2932429Z Resolving deltas:  35% (77/220)
2024-05-15T23:34:10.2933110Z Resolving deltas:  36% (80/220)
2024-05-15T23:34:10.2933493Z Resolving deltas:  37% (82/220)
2024-05-15T23:34:10.2933867Z Resolving deltas:  38% (84/220)
2024-05-15T23:34:10.2936676Z Resolving deltas:  39% (86/220)
2024-05-15T23:34:10.2938533Z Resolving deltas:  40% (88/220)
2024-05-15T23:34:10.2939089Z Resolving deltas:  41% (91/220)
2024-05-15T23:34:10.2939759Z Resolving deltas:  42% (93/220)
2024-05-15T23:34:10.2941842Z Resolving deltas:  43% (95/220)
2024-05-15T23:34:10.2942687Z Resolving deltas:  44% (97/220)
2024-05-15T23:34:10.2944126Z Resolving deltas:  45% (100/220)
2024-05-15T23:34:10.2944664Z Resolving deltas:  46% (103/220)
2024-05-15T23:34:10.2945193Z Resolving deltas:  47% (104/220)
2024-05-15T23:34:10.2945726Z Resolving deltas:  48% (106/220)
2024-05-15T23:34:10.2946275Z Resolving deltas:  49% (108/220)
2024-05-15T23:34:10.2946824Z Resolving deltas:  50% (110/220)
2024-05-15T23:34:10.2947397Z Resolving deltas:  52% (115/220)
2024-05-15T23:34:10.2947960Z Resolving deltas:  53% (117/220)
2024-05-15T23:34:10.2948474Z Resolving deltas:  54% (119/220)
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2024-05-15T23:34:10.2949656Z Resolving deltas:  56% (124/220)
2024-05-15T23:34:10.2950370Z Resolving deltas:  57% (127/220)
2024-05-15T23:34:10.2950904Z Resolving deltas:  58% (128/220)
2024-05-15T23:34:10.2951429Z Resolving deltas:  59% (131/220)
2024-05-15T23:34:10.2952118Z Resolving deltas:  60% (132/220)
2024-05-15T23:34:10.2952660Z Resolving deltas:  61% (135/220)
2024-05-15T23:34:10.2953186Z Resolving deltas:  62% (137/220)
2024-05-15T23:34:10.2953697Z Resolving deltas:  63% (139/220)
2024-05-15T23:34:10.2954224Z Resolving deltas:  64% (142/220)
2024-05-15T23:34:10.2954740Z Resolving deltas:  65% (143/220)
2024-05-15T23:34:10.2955256Z Resolving deltas:  66% (146/220)
2024-05-15T23:34:10.2955786Z Resolving deltas:  67% (149/220)
2024-05-15T23:34:10.2956342Z Resolving deltas:  68% (150/220)
2024-05-15T23:34:10.2956882Z Resolving deltas:  69% (152/220)
2024-05-15T23:34:10.2957401Z Resolving deltas:  70% (154/220)
2024-05-15T23:34:10.2957923Z Resolving deltas:  71% (157/220)
2024-05-15T23:34:10.2958437Z Resolving deltas:  72% (159/220)
2024-05-15T23:34:10.2958960Z Resolving deltas:  73% (162/220)
2024-05-15T23:34:10.2959479Z Resolving deltas:  74% (163/220)
2024-05-15T23:34:10.2960102Z Resolving deltas:  75% (165/220)
2024-05-15T23:34:10.2960624Z Resolving deltas:  76% (169/220)
2024-05-15T23:34:10.2961165Z Resolving deltas:  77% (170/220)
2024-05-15T23:34:10.2961694Z Resolving deltas:  78% (172/220)
2024-05-15T23:34:10.2962211Z Resolving deltas:  79% (175/220)
2024-05-15T23:34:10.2962737Z Resolving deltas:  80% (176/220)
2024-05-15T23:34:10.2963246Z Resolving deltas:  81% (179/220)
2024-05-15T23:34:10.2963766Z Resolving deltas:  83% (183/220)
2024-05-15T23:34:10.2964278Z Resolving deltas:  84% (185/220)
2024-05-15T23:34:10.2964790Z Resolving deltas:  85% (188/220)
2024-05-15T23:34:10.2965321Z Resolving deltas:  86% (190/220)
2024-05-15T23:34:10.2965868Z Resolving deltas:  88% (194/220)
2024-05-15T23:34:10.2966403Z Resolving deltas:  89% (196/220)
2024-05-15T23:34:10.2966934Z Resolving deltas:  90% (199/220)
2024-05-15T23:34:10.2967459Z Resolving deltas:  91% (201/220)
2024-05-15T23:34:10.2967974Z Resolving deltas:  92% (203/220)
2024-05-15T23:34:10.2968494Z Resolving deltas:  93% (205/220)
2024-05-15T23:34:10.2969024Z Resolving deltas:  94% (207/220)
2024-05-15T23:34:10.2969550Z Resolving deltas:  95% (209/220)
2024-05-15T23:34:10.2970076Z Resolving deltas:  96% (212/220)
2024-05-15T23:34:10.2970599Z Resolving deltas:  97% (214/220)
2024-05-15T23:34:10.2971114Z Resolving deltas:  98% (216/220)
2024-05-15T23:34:10.3020230Z Resolving deltas:  99% (218/220)
2024-05-15T23:34:10.3020879Z Resolving deltas: 100% (220/220)
2024-05-15T23:34:10.3021285Z Resolving deltas: 100% (220/220), done.
2024-05-15T23:34:10.3235496Z From https://github.com/pytorch/test-infra
2024-05-15T23:34:10.3236238Z  * [new branch]      main       -> origin/main
2024-05-15T23:34:10.3251207Z ##[endgroup]
2024-05-15T23:34:10.3251758Z ##[group]Determining the checkout info
2024-05-15T23:34:10.3253854Z ##[endgroup]
2024-05-15T23:34:10.3254498Z ##[group]Checking out the ref
2024-05-15T23:34:10.3257842Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main
2024-05-15T23:34:10.3784047Z Switched to a new branch 'main'
2024-05-15T23:34:10.3784787Z branch 'main' set up to track 'origin/main'.
2024-05-15T23:34:10.3790639Z ##[endgroup]
2024-05-15T23:34:10.3791231Z ##[group]Setting up auth for fetching submodules
2024-05-15T23:34:10.3796476Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2024-05-15T23:34:10.3839545Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2024-05-15T23:34:10.3860568Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2024-05-15T23:34:10.3891131Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2024-05-15T23:34:10.3914365Z ##[endgroup]
2024-05-15T23:34:10.3914935Z ##[group]Fetching submodules
2024-05-15T23:34:10.3917297Z [command]/usr/bin/git submodule sync --recursive
2024-05-15T23:34:10.4117592Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive
2024-05-15T23:34:10.4318866Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2024-05-15T23:34:10.4525045Z ##[endgroup]
2024-05-15T23:34:10.4525650Z ##[group]Persisting credentials for submodules
2024-05-15T23:34:10.4529940Z [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' || :"
2024-05-15T23:34:10.4734549Z [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"
2024-05-15T23:34:10.4939592Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2024-05-15T23:34:10.5131889Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2024-05-15T23:34:10.5327617Z ##[endgroup]
2024-05-15T23:34:10.5355395Z [command]/usr/bin/git log -1 --format='%H'
2024-05-15T23:34:10.5370997Z '2698cb3ae580a5b2e6f3488e44cf57d8178edb04'
2024-05-15T23:34:10.5648353Z Prepare all required actions
2024-05-15T23:34:10.5648815Z Getting action download info
2024-05-15T23:34:10.6460129Z Download action repository 'pytorch/test-infra@main' (SHA:2698cb3ae580a5b2e6f3488e44cf57d8178edb04)
2024-05-15T23:34:10.8547757Z Getting action download info
2024-05-15T23:34:10.9489857Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2024-05-15T23:34:11.0927868Z ##[group]Run ./test-infra/.github/actions/setup-linux
2024-05-15T23:34:11.0928341Z env:
2024-05-15T23:34:11.0928663Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:11.0929129Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:34:11.0929505Z   PR_NUMBER: 804
2024-05-15T23:34:11.0936056Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:34:11.0942897Z ##[endgroup]
2024-05-15T23:34:11.1141534Z ##[group]Run set -euo pipefail
2024-05-15T23:34:11.1141963Z set -euo pipefail
2024-05-15T23:34:11.1142355Z function get_ec2_metadata() {
2024-05-15T23:34:11.1142886Z   # Pulled from instance metadata endpoint for EC2
2024-05-15T23:34:11.1143764Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2024-05-15T23:34:11.1144521Z   category=$1
2024-05-15T23:34:11.1145045Z   curl -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2024-05-15T23:34:11.1145621Z }
2024-05-15T23:34:11.1145985Z echo "ami-id: $(get_ec2_metadata ami-id)"
2024-05-15T23:34:11.1146568Z echo "instance-id: $(get_ec2_metadata instance-id)"
2024-05-15T23:34:11.1147222Z echo "instance-type: $(get_ec2_metadata instance-type)"
2024-05-15T23:34:11.1147781Z echo "system info $(uname -a)"
2024-05-15T23:34:11.1157381Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:34:11.1157883Z env:
2024-05-15T23:34:11.1158197Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:11.1158653Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:34:11.1159027Z   PR_NUMBER: 804
2024-05-15T23:34:11.1165624Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:34:11.1172542Z ##[endgroup]
2024-05-15T23:34:11.1244249Z ami-id: ami-0ce0c36d7a00b20e2
2024-05-15T23:34:11.1290442Z instance-id: i-0464c2b4b37d757db
2024-05-15T23:34:11.1334183Z instance-type: g5.4xlarge
2024-05-15T23:34:11.1340575Z system info Linux ip-10-0-63-205.ec2.internal 4.14.336-257.562.amzn2.x86_64 #1 SMP Sat Feb 24 09:50:35 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
2024-05-15T23:34:11.1369359Z ##[group]Run if systemctl is-active --quiet docker; then
2024-05-15T23:34:11.1369948Z if systemctl is-active --quiet docker; then
2024-05-15T23:34:11.1370469Z     echo "Docker daemon is running...";
2024-05-15T23:34:11.1370904Z else
2024-05-15T23:34:11.1371385Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2024-05-15T23:34:11.1371949Z fi
2024-05-15T23:34:11.1379670Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:34:11.1380155Z env:
2024-05-15T23:34:11.1380484Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:11.1380929Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:34:11.1381300Z   PR_NUMBER: 804
2024-05-15T23:34:11.1387813Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:34:11.1394971Z ##[endgroup]
2024-05-15T23:34:11.1430373Z Docker daemon is running...
2024-05-15T23:34:11.1451533Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2024-05-15T23:34:11.1452377Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2024-05-15T23:34:11.1453096Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2024-05-15T23:34:11.1453939Z retry aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
2024-05-15T23:34:11.1455010Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2024-05-15T23:34:11.1462180Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:34:11.1462670Z env:
2024-05-15T23:34:11.1462985Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:11.1463434Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:34:11.1463805Z   PR_NUMBER: 804
2024-05-15T23:34:11.1470639Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:34:11.1477506Z   AWS_RETRY_MODE: standard
2024-05-15T23:34:11.1477883Z   AWS_MAX_ATTEMPTS: 5
2024-05-15T23:34:11.1478243Z   AWS_DEFAULT_REGION: us-east-1
2024-05-15T23:34:11.1478603Z ##[endgroup]
2024-05-15T23:34:11.9628920Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2024-05-15T23:34:11.9630183Z Configure a credential helper to remove this warning. See
2024-05-15T23:34:11.9631066Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2024-05-15T23:34:11.9631576Z 
2024-05-15T23:34:11.9631692Z Login Succeeded
2024-05-15T23:34:11.9664943Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2024-05-15T23:34:11.9665733Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2024-05-15T23:34:11.9666433Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2024-05-15T23:34:11.9674852Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:34:11.9675339Z env:
2024-05-15T23:34:11.9675664Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:11.9676134Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:34:11.9676501Z   PR_NUMBER: 804
2024-05-15T23:34:11.9683102Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:34:11.9689960Z ##[endgroup]
2024-05-15T23:34:11.9747301Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2024-05-15T23:34:11.9747921Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2024-05-15T23:34:11.9748444Z sudo rm -rf "${RUNNER_ARTIFACT_DIR}"
2024-05-15T23:34:11.9749030Z mkdir -p "${RUNNER_ARTIFACT_DIR}"
2024-05-15T23:34:11.9749841Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}"
2024-05-15T23:34:11.9750573Z 
2024-05-15T23:34:11.9750988Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results"
2024-05-15T23:34:11.9751553Z sudo rm -rf "${RUNNER_TEST_RESULTS_DIR}"
2024-05-15T23:34:11.9752062Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}"
2024-05-15T23:34:11.9752702Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}"
2024-05-15T23:34:11.9753288Z 
2024-05-15T23:34:11.9753608Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs"
2024-05-15T23:34:11.9754070Z sudo rm -rf "${RUNNER_DOCS_DIR}"
2024-05-15T23:34:11.9754510Z mkdir -p "${RUNNER_DOCS_DIR}"
2024-05-15T23:34:11.9755048Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}"
2024-05-15T23:34:11.9763007Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:34:11.9763488Z env:
2024-05-15T23:34:11.9763797Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:11.9764259Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:34:11.9764638Z   PR_NUMBER: 804
2024-05-15T23:34:11.9771090Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:34:11.9777876Z ##[endgroup]
2024-05-15T23:34:12.0510174Z ##[group]Run needs=0
2024-05-15T23:34:12.0510517Z needs=0
2024-05-15T23:34:12.0511024Z if lspci -v | grep -e 'controller.*NVIDIA' >/dev/null 2>/dev/null; then
2024-05-15T23:34:12.0511602Z   needs=1
2024-05-15T23:34:12.0511901Z fi
2024-05-15T23:34:12.0512242Z echo "does=${needs}" >> $GITHUB_OUTPUT
2024-05-15T23:34:12.0519637Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:34:12.0520119Z env:
2024-05-15T23:34:12.0520433Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:12.0520998Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:34:12.0521375Z   PR_NUMBER: 804
2024-05-15T23:34:12.0527990Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:34:12.0535009Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:34:12.0535770Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:34:12.0536498Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:34:12.0537012Z ##[endgroup]
2024-05-15T23:34:12.0785299Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2024-05-15T23:34:12.0785832Z with:
2024-05-15T23:34:12.0786124Z   driver-version: 550.54.15
2024-05-15T23:34:12.0786457Z env:
2024-05-15T23:34:12.0786766Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:12.0787217Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:34:12.0787604Z   PR_NUMBER: 804
2024-05-15T23:34:12.0794580Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:34:12.0801708Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:34:12.0802473Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:34:12.0803184Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:34:12.0803687Z ##[endgroup]
2024-05-15T23:34:12.0880256Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482
2024-05-15T23:34:12.0880802Z with:
2024-05-15T23:34:12.0881081Z   timeout_minutes: 10
2024-05-15T23:34:12.0881414Z   max_attempts: 3
2024-05-15T23:34:12.0911408Z   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-${DRIVER_VERSION}.run"
YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo"

install_nvidia_docker2_amzn2() {
    (
        set -x
        # Needed for yum-config-manager
        sudo yum install -y yum-utils
        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}"

2024-05-15T23:34:12.0941467Z   retry_wait_seconds: 10
2024-05-15T23:34:12.0941826Z   polling_interval_seconds: 1
2024-05-15T23:34:12.0942193Z   warning_on_retry: true
2024-05-15T23:34:12.0942537Z   continue_on_error: false
2024-05-15T23:34:12.0942866Z env:
2024-05-15T23:34:12.0943183Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:12.0943641Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:34:12.0944009Z   PR_NUMBER: 804
2024-05-15T23:34:12.0950832Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:34:12.0957831Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:34:12.0958594Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:34:12.0959305Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:34:12.0959827Z   DRIVER_VERSION: 550.54.15
2024-05-15T23:34:12.0960171Z ##[endgroup]
2024-05-15T23:34:12.1481961Z == Installing nvidia driver NVIDIA-Linux-x86_64-550.54.15.run ==
2024-05-15T23:34:12.1482758Z + pre_install_nvidia_driver_amzn2
2024-05-15T23:34:12.1483260Z + sudo yum remove -y nvidia-driver-latest-dkms
2024-05-15T23:34:12.4441932Z Loaded plugins: extras_suggestions, langpacks, priorities, update-motd
2024-05-15T23:34:12.4817349Z No Match for argument: nvidia-driver-latest-dkms
2024-05-15T23:34:12.5043421Z No Packages marked for removal
2024-05-15T23:34:12.5160872Z + install_nvidia_driver_common
2024-05-15T23:34:12.5162627Z + echo 'Before installing NVIDIA driver'
2024-05-15T23:34:12.5163034Z + lspci
2024-05-15T23:34:12.5163527Z Before installing NVIDIA driver
2024-05-15T23:34:12.5246046Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2024-05-15T23:34:12.5247097Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2024-05-15T23:34:12.5248029Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2024-05-15T23:34:12.5248805Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2024-05-15T23:34:12.5249558Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. Device 8061
2024-05-15T23:34:12.5250281Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2024-05-15T23:34:12.5250979Z 00:1e.0 3D controller: NVIDIA Corporation Device 2237 (rev a1)
2024-05-15T23:34:12.5251754Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2024-05-15T23:34:12.5252318Z + lsmod
2024-05-15T23:34:12.5260434Z Module                  Size  Used by
2024-05-15T23:34:12.5261007Z nvidia_modeset       1339392  0
2024-05-15T23:34:12.5261520Z nvidia_uvm           4599808  0
2024-05-15T23:34:12.5262105Z nvidia              53989376  2 nvidia_uvm,nvidia_modeset
2024-05-15T23:34:12.5262767Z drm                   421888  1 nvidia
2024-05-15T23:34:12.5263329Z i2c_core               77824  2 nvidia,drm
2024-05-15T23:34:12.5263887Z ib_core               266240  0
2024-05-15T23:34:12.5264267Z veth                   16384  0
2024-05-15T23:34:12.5264673Z backlight              16384  1 nvidia_modeset
2024-05-15T23:34:12.5265107Z xt_conntrack           16384  1
2024-05-15T23:34:12.5265476Z ipt_MASQUERADE         16384  1
2024-05-15T23:34:12.5265900Z nf_nat_masquerade_ipv4    16384  1 ipt_MASQUERADE
2024-05-15T23:34:12.5266350Z nf_conntrack_netlink    49152  0
2024-05-15T23:34:12.5266785Z nfnetlink              16384  2 nf_conntrack_netlink
2024-05-15T23:34:12.5267238Z xfrm_user              45056  1
2024-05-15T23:34:12.5267616Z xfrm_algo              16384  1 xfrm_user
2024-05-15T23:34:12.5268107Z iptable_nat            16384  1
2024-05-15T23:34:12.5268881Z nf_conntrack_ipv4      16384  3
2024-05-15T23:34:12.5269491Z nf_defrag_ipv4         16384  1 nf_conntrack_ipv4
2024-05-15T23:34:12.5270388Z nf_nat_ipv4            16384  1 iptable_nat
2024-05-15T23:34:12.5271087Z nf_nat                 32768  2 nf_nat_masquerade_ipv4,nf_nat_ipv4
2024-05-15T23:34:12.5272007Z nf_conntrack          155648  7 xt_conntrack,nf_nat_masquerade_ipv4,nf_conntrack_ipv4,nf_nat,ipt_MASQUERADE,nf_nat_ipv4,nf_conntrack_netlink
2024-05-15T23:34:12.5273031Z xt_addrtype            16384  2
2024-05-15T23:34:12.5273501Z iptable_filter         16384  1
2024-05-15T23:34:12.5273870Z br_netfilter           24576  0
2024-05-15T23:34:12.5274337Z bridge                172032  1 br_netfilter
2024-05-15T23:34:12.5274927Z stp                    16384  1 bridge
2024-05-15T23:34:12.5275479Z llc                    16384  2 bridge,stp
2024-05-15T23:34:12.5276049Z overlay                86016  0
2024-05-15T23:34:12.5276557Z sunrpc                393216  1
2024-05-15T23:34:12.5277037Z dm_mirror              28672  0
2024-05-15T23:34:12.5277581Z dm_region_hash         20480  1 dm_mirror
2024-05-15T23:34:12.5278063Z dm_log                 20480  2 dm_region_hash,dm_mirror
2024-05-15T23:34:12.5278571Z dm_mod                143360  2 dm_log,dm_mirror
2024-05-15T23:34:12.5278999Z dax                    69632  1 dm_mod
2024-05-15T23:34:12.5279389Z crc32_pclmul           16384  0
2024-05-15T23:34:12.5279760Z ghash_clmulni_intel    16384  0
2024-05-15T23:34:12.5280122Z pcbc                   16384  0
2024-05-15T23:34:12.5280483Z aesni_intel           188416  0
2024-05-15T23:34:12.5280867Z aes_x86_64             20480  1 aesni_intel
2024-05-15T23:34:12.5281300Z crypto_simd            16384  1 aesni_intel
2024-05-15T23:34:12.5281740Z glue_helper            16384  1 aesni_intel
2024-05-15T23:34:12.5282153Z mousedev               24576  0
2024-05-15T23:34:12.5282747Z cryptd                 28672  3 crypto_simd,ghash_clmulni_intel,aesni_intel
2024-05-15T23:34:12.5283271Z evdev                  20480  3
2024-05-15T23:34:12.5283820Z psmouse                32768  0
2024-05-15T23:34:12.5284177Z button                 16384  0
2024-05-15T23:34:12.5284530Z ena                   139264  0
2024-05-15T23:34:12.5284973Z ptp                    20480  1 ena
2024-05-15T23:34:12.5285354Z pps_core               20480  1 ptp
2024-05-15T23:34:12.5285737Z crc32c_intel           24576  0
2024-05-15T23:34:12.5286100Z autofs4                49152  2
2024-05-15T23:34:12.5286446Z + modinfo nvidia
2024-05-15T23:34:12.5287081Z filename:       /lib/modules/4.14.336-257.562.amzn2.x86_64/kernel/drivers/video/nvidia.ko
2024-05-15T23:34:12.5287757Z alias:          char-major-195-*
2024-05-15T23:34:12.5288120Z version:        550.54.15
2024-05-15T23:34:12.5288460Z supported:      external
2024-05-15T23:34:12.5288795Z license:        NVIDIA
2024-05-15T23:34:12.5289157Z firmware:       nvidia/550.54.15/gsp_tu10x.bin
2024-05-15T23:34:12.5289628Z firmware:       nvidia/550.54.15/gsp_ga10x.bin
2024-05-15T23:34:12.5290077Z srcversion:     833721318DA517F0C2FEC97
2024-05-15T23:34:12.5290531Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2024-05-15T23:34:12.5291018Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2024-05-15T23:34:12.5291500Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2024-05-15T23:34:12.5291971Z depends:        i2c-core,drm
2024-05-15T23:34:12.5292325Z retpoline:      Y
2024-05-15T23:34:12.5292627Z name:           nvidia
2024-05-15T23:34:12.5293158Z vermagic:       4.14.336-257.562.amzn2.x86_64 SMP mod_unload modversions 
2024-05-15T23:34:12.5293796Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2024-05-15T23:34:12.5294426Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2024-05-15T23:34:12.5295005Z parm:           NVreg_ResmanDebugLevel:int
2024-05-15T23:34:12.5295443Z parm:           NVreg_RmLogonRC:int
2024-05-15T23:34:12.5295867Z parm:           NVreg_ModifyDeviceFiles:int
2024-05-15T23:34:12.5296313Z parm:           NVreg_DeviceFileUID:int
2024-05-15T23:34:12.5296737Z parm:           NVreg_DeviceFileGID:int
2024-05-15T23:34:12.5297164Z parm:           NVreg_DeviceFileMode:int
2024-05-15T23:34:12.5297680Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2024-05-15T23:34:12.5298284Z parm:           NVreg_UsePageAttributeTable:int
2024-05-15T23:34:12.5298753Z parm:           NVreg_EnablePCIeGen3:int
2024-05-15T23:34:12.5299176Z parm:           NVreg_EnableMSI:int
2024-05-15T23:34:12.5299572Z parm:           NVreg_TCEBypassMode:int
2024-05-15T23:34:12.5300017Z parm:           NVreg_EnableStreamMemOPs:int
2024-05-15T23:34:12.5300534Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2024-05-15T23:34:12.5301099Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2024-05-15T23:34:12.5301644Z parm:           NVreg_EnableS0ixPowerManagement:int
2024-05-15T23:34:12.5302238Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2024-05-15T23:34:12.5302817Z parm:           NVreg_DynamicPowerManagement:int
2024-05-15T23:34:12.5303419Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2024-05-15T23:34:12.5304005Z parm:           NVreg_EnableGpuFirmware:int
2024-05-15T23:34:12.5304477Z parm:           NVreg_EnableGpuFirmwareLogs:int
2024-05-15T23:34:12.5305003Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2024-05-15T23:34:12.5305538Z parm:           NVreg_EnableUserNUMAManagement:int
2024-05-15T23:34:12.5306014Z parm:           NVreg_MemoryPoolSize:int
2024-05-15T23:34:12.5306463Z parm:           NVreg_KMallocHeapMaxSize:int
2024-05-15T23:34:12.5306934Z parm:           NVreg_VMallocHeapMaxSize:int
2024-05-15T23:34:12.5307388Z parm:           NVreg_IgnoreMMIOCheck:int
2024-05-15T23:34:12.5307829Z parm:           NVreg_NvLinkDisable:int
2024-05-15T23:34:12.5308320Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2024-05-15T23:34:12.5308978Z parm:           NVreg_RegisterPCIDriver:int
2024-05-15T23:34:12.5309442Z parm:           NVreg_EnableResizableBar:int
2024-05-15T23:34:12.5310269Z parm:           NVreg_EnableDbgBreakpoint:int
2024-05-15T23:34:12.5310914Z parm:           NVreg_EnableNonblockingOpen:int
2024-05-15T23:34:12.5311390Z parm:           NVreg_RegistryDwords:charp
2024-05-15T23:34:12.5311955Z parm:           NVreg_RegistryDwordsPerDevice:charp
2024-05-15T23:34:12.5312419Z parm:           NVreg_RmMsg:charp
2024-05-15T23:34:12.5312825Z parm:           NVreg_GpuBlacklist:charp
2024-05-15T23:34:12.5313289Z parm:           NVreg_TemporaryFilePath:charp
2024-05-15T23:34:12.5313743Z parm:           NVreg_ExcludedGpus:charp
2024-05-15T23:34:12.5314190Z parm:           NVreg_DmaRemapPeerMmio:int
2024-05-15T23:34:12.5314655Z parm:           NVreg_RmNvlinkBandwidth:charp
2024-05-15T23:34:12.5315122Z parm:           NVreg_ImexChannelCount:int
2024-05-15T23:34:12.5315558Z parm:           rm_firmware_active:charp
2024-05-15T23:34:12.5315964Z + HAS_NVIDIA_DRIVER=0
2024-05-15T23:34:12.5316348Z ++ command -v nvidia-smi
2024-05-15T23:34:12.5316727Z + '[' -x /usr/bin/nvidia-smi ']'
2024-05-15T23:34:12.5317089Z + set +e
2024-05-15T23:34:12.5317581Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0
2024-05-15T23:34:14.5275356Z + INSTALLED_DRIVER_VERSION=550.54.15
2024-05-15T23:34:14.5275839Z + NVIDIA_SMI_STATUS=0
2024-05-15T23:34:14.5276401Z + '[' 0 -ne 0 ']'
2024-05-15T23:34:14.5276756Z + '[' 550.54.15 '!=' 550.54.15 ']'
2024-05-15T23:34:14.5277129Z + HAS_NVIDIA_DRIVER=1
2024-05-15T23:34:14.5277818Z + echo 'NVIDIA driver (550.54.15) has already been installed. Skipping NVIDIA driver installation'
2024-05-15T23:34:14.5278505Z + set -e
2024-05-15T23:34:14.5278795Z + '[' 1 -eq 0 ']'
2024-05-15T23:34:14.5279349Z NVIDIA driver (550.54.15) has already been installed. Skipping NVIDIA driver installation
2024-05-15T23:34:14.5280022Z + post_install_nvidia_driver_common
2024-05-15T23:34:14.5280415Z + sudo modprobe nvidia
2024-05-15T23:34:14.5375464Z + echo 'After installing NVIDIA driver'
2024-05-15T23:34:14.5375890Z + lspci
2024-05-15T23:34:14.5376177Z After installing NVIDIA driver
2024-05-15T23:34:14.5458597Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2024-05-15T23:34:14.5459368Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2024-05-15T23:34:14.5460273Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2024-05-15T23:34:14.5461049Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2024-05-15T23:34:14.5461775Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. Device 8061
2024-05-15T23:34:14.5462505Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2024-05-15T23:34:14.5463207Z 00:1e.0 3D controller: NVIDIA Corporation Device 2237 (rev a1)
2024-05-15T23:34:14.5463960Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2024-05-15T23:34:14.5464537Z + lsmod
2024-05-15T23:34:14.5472590Z Module                  Size  Used by
2024-05-15T23:34:14.5473006Z nvidia_modeset       1339392  0
2024-05-15T23:34:14.5473433Z nvidia_uvm           4599808  0
2024-05-15T23:34:14.5474018Z nvidia              53989376  2 nvidia_uvm,nvidia_modeset
2024-05-15T23:34:14.5474639Z drm                   421888  1 nvidia
2024-05-15T23:34:14.5475198Z i2c_core               77824  2 nvidia,drm
2024-05-15T23:34:14.5475761Z ib_core               266240  0
2024-05-15T23:34:14.5476246Z veth                   16384  0
2024-05-15T23:34:14.5476699Z backlight              16384  1 nvidia_modeset
2024-05-15T23:34:14.5477132Z xt_conntrack           16384  1
2024-05-15T23:34:14.5477501Z ipt_MASQUERADE         16384  1
2024-05-15T23:34:14.5477920Z nf_nat_masquerade_ipv4    16384  1 ipt_MASQUERADE
2024-05-15T23:34:14.5478421Z nf_conntrack_netlink    49152  0
2024-05-15T23:34:14.5478865Z nfnetlink              16384  2 nf_conntrack_netlink
2024-05-15T23:34:14.5479311Z xfrm_user              45056  1
2024-05-15T23:34:14.5479691Z xfrm_algo              16384  1 xfrm_user
2024-05-15T23:34:14.5480099Z iptable_nat            16384  1
2024-05-15T23:34:14.5480468Z nf_conntrack_ipv4      16384  3
2024-05-15T23:34:14.5480887Z nf_defrag_ipv4         16384  1 nf_conntrack_ipv4
2024-05-15T23:34:14.5481635Z nf_nat_ipv4            16384  1 iptable_nat
2024-05-15T23:34:14.5482387Z nf_nat                 32768  2 nf_nat_masquerade_ipv4,nf_nat_ipv4
2024-05-15T23:34:14.5483881Z nf_conntrack          155648  7 xt_conntrack,nf_nat_masquerade_ipv4,nf_conntrack_ipv4,nf_nat,ipt_MASQUERADE,nf_nat_ipv4,nf_conntrack_netlink
2024-05-15T23:34:14.5484743Z xt_addrtype            16384  2
2024-05-15T23:34:14.5485119Z iptable_filter         16384  1
2024-05-15T23:34:14.5485488Z br_netfilter           24576  0
2024-05-15T23:34:14.5485891Z bridge                172032  1 br_netfilter
2024-05-15T23:34:14.5486322Z stp                    16384  1 bridge
2024-05-15T23:34:14.5486755Z llc                    16384  2 bridge,stp
2024-05-15T23:34:14.5487168Z overlay                86016  0
2024-05-15T23:34:14.5487528Z sunrpc                393216  1
2024-05-15T23:34:14.5487881Z dm_mirror              28672  0
2024-05-15T23:34:14.5488271Z dm_region_hash         20480  1 dm_mirror
2024-05-15T23:34:14.5488758Z dm_log                 20480  2 dm_region_hash,dm_mirror
2024-05-15T23:34:14.5489257Z dm_mod                143360  2 dm_log,dm_mirror
2024-05-15T23:34:14.5489697Z dax                    69632  1 dm_mod
2024-05-15T23:34:14.5490085Z crc32_pclmul           16384  0
2024-05-15T23:34:14.5490466Z ghash_clmulni_intel    16384  0
2024-05-15T23:34:14.5490871Z pcbc                   16384  0
2024-05-15T23:34:14.5491234Z aesni_intel           188416  0
2024-05-15T23:34:14.5491708Z aes_x86_64             20480  1 aesni_intel
2024-05-15T23:34:14.5492141Z crypto_simd            16384  1 aesni_intel
2024-05-15T23:34:14.5492586Z glue_helper            16384  1 aesni_intel
2024-05-15T23:34:14.5493002Z mousedev               24576  0
2024-05-15T23:34:14.5493490Z cryptd                 28672  3 crypto_simd,ghash_clmulni_intel,aesni_intel
2024-05-15T23:34:14.5494012Z evdev                  20480  3
2024-05-15T23:34:14.5494373Z psmouse                32768  0
2024-05-15T23:34:14.5494733Z button                 16384  0
2024-05-15T23:34:14.5495087Z ena                   139264  0
2024-05-15T23:34:14.5495444Z ptp                    20480  1 ena
2024-05-15T23:34:14.5495821Z pps_core               20480  1 ptp
2024-05-15T23:34:14.5496220Z crc32c_intel           24576  0
2024-05-15T23:34:14.5496583Z autofs4                49152  2
2024-05-15T23:34:14.5496928Z + modinfo nvidia
2024-05-15T23:34:14.5497576Z filename:       /lib/modules/4.14.336-257.562.amzn2.x86_64/kernel/drivers/video/nvidia.ko
2024-05-15T23:34:14.5498260Z alias:          char-major-195-*
2024-05-15T23:34:14.5498628Z version:        550.54.15
2024-05-15T23:34:14.5498966Z supported:      external
2024-05-15T23:34:14.5499296Z license:        NVIDIA
2024-05-15T23:34:14.5499660Z firmware:       nvidia/550.54.15/gsp_tu10x.bin
2024-05-15T23:34:14.5500131Z firmware:       nvidia/550.54.15/gsp_ga10x.bin
2024-05-15T23:34:14.5500583Z srcversion:     833721318DA517F0C2FEC97
2024-05-15T23:34:14.5501028Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2024-05-15T23:34:14.5501518Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2024-05-15T23:34:14.5501992Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2024-05-15T23:34:14.5502454Z depends:        i2c-core,drm
2024-05-15T23:34:14.5502810Z retpoline:      Y
2024-05-15T23:34:14.5503109Z name:           nvidia
2024-05-15T23:34:14.5503647Z vermagic:       4.14.336-257.562.amzn2.x86_64 SMP mod_unload modversions 
2024-05-15T23:34:14.5504284Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2024-05-15T23:34:14.5504914Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2024-05-15T23:34:14.5505480Z parm:           NVreg_ResmanDebugLevel:int
2024-05-15T23:34:14.5505919Z parm:           NVreg_RmLogonRC:int
2024-05-15T23:34:14.5506341Z parm:           NVreg_ModifyDeviceFiles:int
2024-05-15T23:34:14.5506780Z parm:           NVreg_DeviceFileUID:int
2024-05-15T23:34:14.5507209Z parm:           NVreg_DeviceFileGID:int
2024-05-15T23:34:14.5507631Z parm:           NVreg_DeviceFileMode:int
2024-05-15T23:34:14.5508207Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2024-05-15T23:34:14.5508924Z parm:           NVreg_UsePageAttributeTable:int
2024-05-15T23:34:14.5509451Z parm:           NVreg_EnablePCIeGen3:int
2024-05-15T23:34:14.5510068Z parm:           NVreg_EnableMSI:int
2024-05-15T23:34:14.5510517Z parm:           NVreg_TCEBypassMode:int
2024-05-15T23:34:14.5510961Z parm:           NVreg_EnableStreamMemOPs:int
2024-05-15T23:34:14.5511466Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2024-05-15T23:34:14.5512037Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2024-05-15T23:34:14.5512582Z parm:           NVreg_EnableS0ixPowerManagement:int
2024-05-15T23:34:14.5513165Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2024-05-15T23:34:14.5513747Z parm:           NVreg_DynamicPowerManagement:int
2024-05-15T23:34:14.5514341Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2024-05-15T23:34:14.5514917Z parm:           NVreg_EnableGpuFirmware:int
2024-05-15T23:34:14.5515399Z parm:           NVreg_EnableGpuFirmwareLogs:int
2024-05-15T23:34:14.5515924Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2024-05-15T23:34:14.5516470Z parm:           NVreg_EnableUserNUMAManagement:int
2024-05-15T23:34:14.5516952Z parm:           NVreg_MemoryPoolSize:int
2024-05-15T23:34:14.5517409Z parm:           NVreg_KMallocHeapMaxSize:int
2024-05-15T23:34:14.5517883Z parm:           NVreg_VMallocHeapMaxSize:int
2024-05-15T23:34:14.5518342Z parm:           NVreg_IgnoreMMIOCheck:int
2024-05-15T23:34:14.5518785Z parm:           NVreg_NvLinkDisable:int
2024-05-15T23:34:14.5519282Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2024-05-15T23:34:14.5519792Z parm:           NVreg_RegisterPCIDriver:int
2024-05-15T23:34:14.5520260Z parm:           NVreg_EnableResizableBar:int
2024-05-15T23:34:14.5520750Z parm:           NVreg_EnableDbgBreakpoint:int
2024-05-15T23:34:14.5521234Z parm:           NVreg_EnableNonblockingOpen:int
2024-05-15T23:34:14.5521718Z parm:           NVreg_RegistryDwords:charp
2024-05-15T23:34:14.5522209Z parm:           NVreg_RegistryDwordsPerDevice:charp
2024-05-15T23:34:14.5522676Z parm:           NVreg_RmMsg:charp
2024-05-15T23:34:14.5523093Z parm:           NVreg_GpuBlacklist:charp
2024-05-15T23:34:14.5523558Z parm:           NVreg_TemporaryFilePath:charp
2024-05-15T23:34:14.5524012Z parm:           NVreg_ExcludedGpus:charp
2024-05-15T23:34:14.5524461Z parm:           NVreg_DmaRemapPeerMmio:int
2024-05-15T23:34:14.5524932Z parm:           NVreg_RmNvlinkBandwidth:charp
2024-05-15T23:34:14.5525390Z parm:           NVreg_ImexChannelCount:int
2024-05-15T23:34:14.5525834Z parm:           rm_firmware_active:charp
2024-05-15T23:34:14.5526227Z + set +e
2024-05-15T23:34:14.5526524Z + nvidia-smi
2024-05-15T23:34:16.1175450Z Wed May 15 23:34:16 2024       
2024-05-15T23:34:16.1176265Z +-----------------------------------------------------------------------------------------+
2024-05-15T23:34:16.1177066Z | NVIDIA-SMI 550.54.15              Driver Version: 550.54.15      CUDA Version: 12.4     |
2024-05-15T23:34:16.1177857Z |-----------------------------------------+------------------------+----------------------+
2024-05-15T23:34:16.1178643Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2024-05-15T23:34:16.1179505Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2024-05-15T23:34:16.1180183Z |                                         |                        |               MIG M. |
2024-05-15T23:34:16.1180710Z |=========================================+========================+======================|
2024-05-15T23:34:16.1276888Z |   0  NVIDIA A10G                    Off |   00000000:00:1E.0 Off |                    0 |
2024-05-15T23:34:16.1277650Z |  0%   29C    P0             55W /  300W |       0MiB /  23028MiB |      0%      Default |
2024-05-15T23:34:16.1278264Z |                                         |                        |                  N/A |
2024-05-15T23:34:16.1279267Z +-----------------------------------------+------------------------+----------------------+
2024-05-15T23:34:16.1279972Z                                                                                          
2024-05-15T23:34:16.1280610Z +-----------------------------------------------------------------------------------------+
2024-05-15T23:34:16.1281226Z | Processes:                                                                              |
2024-05-15T23:34:16.1281919Z |  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
2024-05-15T23:34:16.1282598Z |        ID   ID                                                               Usage      |
2024-05-15T23:34:16.1283145Z |=========================================================================================|
2024-05-15T23:34:16.1283774Z |  No running processes found                                                             |
2024-05-15T23:34:16.1284505Z +-----------------------------------------------------------------------------------------+
2024-05-15T23:34:16.7366205Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
2024-05-15T23:34:18.3009787Z NVIDIA A10G
2024-05-15T23:34:18.7437004Z + NVIDIA_SMI_STATUS=0
2024-05-15T23:34:18.7437605Z + '[' 0 -eq 0 ']'
2024-05-15T23:34:18.7438012Z + echo 'INFO: Ignoring allowed status 0'
2024-05-15T23:34:18.7438434Z + set -e
2024-05-15T23:34:18.7438716Z INFO: Ignoring allowed status 0
2024-05-15T23:34:18.7441427Z == Installing nvidia container toolkit for amzn2 ==
2024-05-15T23:34:18.7443208Z + sudo yum install -y yum-utils
2024-05-15T23:34:19.0367259Z Loaded plugins: extras_suggestions, langpacks, priorities, update-motd
2024-05-15T23:34:20.5099550Z Package yum-utils-1.1.31-46.amzn2.0.1.noarch already installed and latest version
2024-05-15T23:34:20.5100231Z Nothing to do
2024-05-15T23:34:20.6598478Z + sudo yum-config-manager --add-repo https://nvidia.github.io/nvidia-docker/amzn2/nvidia-docker.repo
2024-05-15T23:34:20.9901620Z Loaded plugins: extras_suggestions, langpacks, priorities, update-motd
2024-05-15T23:34:21.0151064Z adding repo from: https://nvidia.github.io/nvidia-docker/amzn2/nvidia-docker.repo
2024-05-15T23:34:21.0152399Z grabbing file https://nvidia.github.io/nvidia-docker/amzn2/nvidia-docker.repo to /etc/yum.repos.d/nvidia-docker.repo
2024-05-15T23:34:21.0153337Z repo saved to /etc/yum.repos.d/nvidia-docker.repo
2024-05-15T23:34:21.0270040Z + sudo yum install -y nvidia-docker2
2024-05-15T23:34:21.3229708Z Loaded plugins: extras_suggestions, langpacks, priorities, update-motd
2024-05-15T23:34:22.7803461Z Package nvidia-docker2-2.13.0-1.noarch already installed and latest version
2024-05-15T23:34:22.7804102Z Nothing to do
2024-05-15T23:34:22.9293090Z + sudo systemctl restart docker
2024-05-15T23:34:24.1575078Z Command completed after 1 attempt(s).
2024-05-15T23:34:24.1637394Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2024-05-15T23:34:24.1638203Z # ignore expansion of "docker ps -q" since it could be empty
2024-05-15T23:34:24.1638829Z # shellcheck disable=SC2046
2024-05-15T23:34:24.1639277Z docker stop $(docker ps -q) || true
2024-05-15T23:34:24.1639758Z # Prune all of the docker images
2024-05-15T23:34:24.1640192Z docker system prune -af
2024-05-15T23:34:24.1648138Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:34:24.1648621Z env:
2024-05-15T23:34:24.1648929Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:24.1649380Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:34:24.1649751Z   PR_NUMBER: 804
2024-05-15T23:34:24.1656350Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:34:24.1663519Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:34:24.1664277Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:34:24.1665003Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:34:24.1665606Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:34:24.1666079Z ##[endgroup]
2024-05-15T23:34:24.1961900Z "docker stop" requires at least 1 argument.
2024-05-15T23:34:24.1962633Z See 'docker stop --help'.
2024-05-15T23:34:24.1962875Z 
2024-05-15T23:34:24.1963094Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2024-05-15T23:34:24.1963455Z 
2024-05-15T23:34:24.1963606Z Stop one or more running containers
2024-05-15T23:34:24.2154105Z Total reclaimed space: 0B
2024-05-15T23:34:24.2209366Z ##[group]Run ./test-infra/.github/actions/setup-ssh
2024-05-15T23:34:24.2209818Z with:
2024-05-15T23:34:24.2210928Z   github-secret: ***
2024-05-15T23:34:24.2211291Z   activate-with-label: false
2024-05-15T23:34:24.2211636Z   label: with-ssh
2024-05-15T23:34:24.2211951Z   remove-existing-keys: true
2024-05-15T23:34:24.2212298Z env:
2024-05-15T23:34:24.2212608Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:24.2213062Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:34:24.2213431Z   PR_NUMBER: 804
2024-05-15T23:34:24.2219924Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:34:24.2226891Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:34:24.2227656Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:34:24.2228376Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:34:24.2229101Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:34:24.2229673Z ##[endgroup]
2024-05-15T23:34:24.2991131Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2024-05-15T23:34:24.4618534Z ##[warning]Failed to get author of PR https://github.com/pytorch/torchchat/pull/804: HttpError: Resource not accessible by integration
2024-05-15T23:34:24.4626569Z ##[warning]Returning mikekgfb instead
2024-05-15T23:34:24.4627665Z Grabbing public ssh keys from https://github.com/mikekgfb.keys
2024-05-15T23:34:24.5257959Z No SSH keys found for user mikekgfb
2024-05-15T23:34:24.5258725Z Grabbing public ssh keys from https://github.com/mikekgfb.keys
2024-05-15T23:34:24.5920018Z No SSH keys found for user mikekgfb
2024-05-15T23:34:24.6047544Z ##[group]Run actions/checkout@v3
2024-05-15T23:34:24.6047905Z with:
2024-05-15T23:34:24.6048188Z   repository: pytorch/torchchat
2024-05-15T23:34:24.6048578Z   ref: refs/pull/804/merge
2024-05-15T23:34:24.6048914Z   path: pytorch/torchchat
2024-05-15T23:34:24.6049246Z   fetch-depth: 1
2024-05-15T23:34:24.6049660Z   token: ***
2024-05-15T23:34:24.6049938Z   ssh-strict: true
2024-05-15T23:34:24.6050276Z   persist-credentials: true
2024-05-15T23:34:24.6050649Z   clean: true
2024-05-15T23:34:24.6050955Z   sparse-checkout-cone-mode: true
2024-05-15T23:34:24.6051338Z   fetch-tags: false
2024-05-15T23:34:24.6051636Z   lfs: false
2024-05-15T23:34:24.6051920Z   set-safe-directory: true
2024-05-15T23:34:24.6052250Z env:
2024-05-15T23:34:24.6052563Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:24.6053007Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:34:24.6053373Z   PR_NUMBER: 804
2024-05-15T23:34:24.6059870Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:34:24.6066905Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:34:24.6067667Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:34:24.6068379Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:34:24.6068989Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:34:24.6069570Z ##[endgroup]
2024-05-15T23:34:24.6894712Z Syncing repository: pytorch/torchchat
2024-05-15T23:34:24.6903561Z ##[group]Getting Git version info
2024-05-15T23:34:24.6904360Z Working directory is '/home/ec2-user/actions-runner/_work/torchchat/torchchat/pytorch/torchchat'
2024-05-15T23:34:24.6925619Z [command]/usr/bin/git version
2024-05-15T23:34:24.6962978Z git version 2.40.1
2024-05-15T23:34:24.6985537Z ##[endgroup]
2024-05-15T23:34:24.7000608Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/0937c0c7-5e61-46ca-9279-aff6891f0d6e' before making global git config changes
2024-05-15T23:34:24.7002713Z Adding repository directory to the temporary git global config as a safe directory
2024-05-15T23:34:24.7007463Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/torchchat/torchchat/pytorch/torchchat
2024-05-15T23:34:24.7037012Z ##[group]Initializing the repository
2024-05-15T23:34:24.7040077Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/torchchat/torchchat/pytorch/torchchat
2024-05-15T23:34:24.7058352Z hint: Using 'master' as the name for the initial branch. This default branch name
2024-05-15T23:34:24.7059265Z hint: is subject to change. To configure the initial branch name to use in all
2024-05-15T23:34:24.7060218Z hint: of your new repositories, which will suppress this warning, call:
2024-05-15T23:34:24.7060826Z hint: 
2024-05-15T23:34:24.7061236Z hint: 	git config --global init.defaultBranch <name>
2024-05-15T23:34:24.7061699Z hint: 
2024-05-15T23:34:24.7062193Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2024-05-15T23:34:24.7063017Z hint: 'development'. The just-created branch can be renamed via this command:
2024-05-15T23:34:24.7063593Z hint: 
2024-05-15T23:34:24.7063900Z hint: 	git branch -m <name>
2024-05-15T23:34:24.7064749Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/torchchat/torchchat/pytorch/torchchat/.git/
2024-05-15T23:34:24.7066548Z [command]/usr/bin/git remote add origin https://github.com/pytorch/torchchat
2024-05-15T23:34:24.7091778Z ##[endgroup]
2024-05-15T23:34:24.7092630Z ##[group]Disabling automatic garbage collection
2024-05-15T23:34:24.7095694Z [command]/usr/bin/git config --local gc.auto 0
2024-05-15T23:34:24.7115672Z ##[endgroup]
2024-05-15T23:34:24.7116450Z ##[group]Setting up auth
2024-05-15T23:34:24.7121975Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2024-05-15T23:34:24.7147022Z [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' || :"
2024-05-15T23:34:24.7341925Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2024-05-15T23:34:24.7367033Z [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' || :"
2024-05-15T23:34:24.7568058Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2024-05-15T23:34:24.7607759Z ##[endgroup]
2024-05-15T23:34:24.7608300Z ##[group]Fetching the repository
2024-05-15T23:34:24.7614685Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --progress --no-recurse-submodules --depth=1 origin +refs/pull/804/merge:refs/remotes/pull/804/merge
2024-05-15T23:34:24.9988485Z remote: Enumerating objects: 242, done.        
2024-05-15T23:34:24.9989222Z remote: Counting objects:   0% (1/242)        
2024-05-15T23:34:24.9990499Z remote: Counting objects:   1% (3/242)        
2024-05-15T23:34:24.9991111Z remote: Counting objects:   2% (5/242)        
2024-05-15T23:34:24.9991593Z remote: Counting objects:   3% (8/242)        
2024-05-15T23:34:24.9992218Z remote: Counting objects:   4% (10/242)        
2024-05-15T23:34:24.9992870Z remote: Counting objects:   5% (13/242)        
2024-05-15T23:34:24.9993508Z remote: Counting objects:   6% (15/242)        
2024-05-15T23:34:24.9994144Z remote: Counting objects:   7% (17/242)        
2024-05-15T23:34:24.9994733Z remote: Counting objects:   8% (20/242)        
2024-05-15T23:34:24.9995197Z remote: Counting objects:   9% (22/242)        
2024-05-15T23:34:24.9995689Z remote: Counting objects:  10% (25/242)        
2024-05-15T23:34:24.9996161Z remote: Counting objects:  11% (27/242)        
2024-05-15T23:34:24.9996627Z remote: Counting objects:  12% (30/242)        
2024-05-15T23:34:24.9997310Z remote: Counting objects:  13% (32/242)        
2024-05-15T23:34:24.9997781Z remote: Counting objects:  14% (34/242)        
2024-05-15T23:34:24.9998247Z remote: Counting objects:  15% (37/242)        
2024-05-15T23:34:24.9998716Z remote: Counting objects:  16% (39/242)        
2024-05-15T23:34:24.9999185Z remote: Counting objects:  17% (42/242)        
2024-05-15T23:34:24.9999652Z remote: Counting objects:  18% (44/242)        
2024-05-15T23:34:25.0000481Z remote: Counting objects:  19% (46/242)        
2024-05-15T23:34:25.0000999Z remote: Counting objects:  20% (49/242)        
2024-05-15T23:34:25.0001476Z remote: Counting objects:  21% (51/242)        
2024-05-15T23:34:25.0001942Z remote: Counting objects:  22% (54/242)        
2024-05-15T23:34:25.0002710Z remote: Counting objects:  23% (56/242)        
2024-05-15T23:34:25.0003347Z remote: Counting objects:  24% (59/242)        
2024-05-15T23:34:25.0004301Z remote: Counting objects:  25% (61/242)        
2024-05-15T23:34:25.0004975Z remote: Counting objects:  26% (63/242)        
2024-05-15T23:34:25.0005612Z remote: Counting objects:  27% (66/242)        
2024-05-15T23:34:25.0006228Z remote: Counting objects:  28% (68/242)        
2024-05-15T23:34:25.0007082Z remote: Counting objects:  29% (71/242)        
2024-05-15T23:34:25.0007778Z remote: Counting objects:  30% (73/242)        
2024-05-15T23:34:25.0008334Z remote: Counting objects:  31% (76/242)        
2024-05-15T23:34:25.0008971Z remote: Counting objects:  32% (78/242)        
2024-05-15T23:34:25.0009540Z remote: Counting objects:  33% (80/242)        
2024-05-15T23:34:25.0010010Z remote: Counting objects:  34% (83/242)        
2024-05-15T23:34:25.0010676Z remote: Counting objects:  35% (85/242)        
2024-05-15T23:34:25.0011201Z remote: Counting objects:  36% (88/242)        
2024-05-15T23:34:25.0011672Z remote: Counting objects:  37% (90/242)        
2024-05-15T23:34:25.0012279Z remote: Counting objects:  38% (92/242)        
2024-05-15T23:34:25.0012933Z remote: Counting objects:  39% (95/242)        
2024-05-15T23:34:25.0013403Z remote: Counting objects:  40% (97/242)        
2024-05-15T23:34:25.0013871Z remote: Counting objects:  41% (100/242)        
2024-05-15T23:34:25.0014603Z remote: Counting objects:  42% (102/242)        
2024-05-15T23:34:25.0015132Z remote: Counting objects:  43% (105/242)        
2024-05-15T23:34:25.0015633Z remote: Counting objects:  44% (107/242)        
2024-05-15T23:34:25.0016298Z remote: Counting objects:  45% (109/242)        
2024-05-15T23:34:25.0016858Z remote: Counting objects:  46% (112/242)        
2024-05-15T23:34:25.0017340Z remote: Counting objects:  47% (114/242)        
2024-05-15T23:34:25.0017815Z remote: Counting objects:  48% (117/242)        
2024-05-15T23:34:25.0018493Z remote: Counting objects:  49% (119/242)        
2024-05-15T23:34:25.0019021Z remote: Counting objects:  50% (121/242)        
2024-05-15T23:34:25.0019490Z remote: Counting objects:  51% (124/242)        
2024-05-15T23:34:25.0020144Z remote: Counting objects:  52% (126/242)        
2024-05-15T23:34:25.0020713Z remote: Counting objects:  53% (129/242)        
2024-05-15T23:34:25.0021188Z remote: Counting objects:  54% (131/242)        
2024-05-15T23:34:25.0021669Z remote: Counting objects:  55% (134/242)        
2024-05-15T23:34:25.0022153Z remote: Counting objects:  56% (136/242)        
2024-05-15T23:34:25.0022626Z remote: Counting objects:  57% (138/242)        
2024-05-15T23:34:25.0023112Z remote: Counting objects:  58% (141/242)        
2024-05-15T23:34:25.0023590Z remote: Counting objects:  59% (143/242)        
2024-05-15T23:34:25.0024062Z remote: Counting objects:  60% (146/242)        
2024-05-15T23:34:25.0024542Z remote: Counting objects:  61% (148/242)        
2024-05-15T23:34:25.0025022Z remote: Counting objects:  62% (151/242)        
2024-05-15T23:34:25.0025701Z remote: Counting objects:  63% (153/242)        
2024-05-15T23:34:25.0026226Z remote: Counting objects:  64% (155/242)        
2024-05-15T23:34:25.0026807Z remote: Counting objects:  65% (158/242)        
2024-05-15T23:34:25.0027438Z remote: Counting objects:  66% (160/242)        
2024-05-15T23:34:25.0028023Z remote: Counting objects:  67% (163/242)        
2024-05-15T23:34:25.0028499Z remote: Counting objects:  68% (165/242)        
2024-05-15T23:34:25.0028972Z remote: Counting objects:  69% (167/242)        
2024-05-15T23:34:25.0029559Z remote: Counting objects:  70% (170/242)        
2024-05-15T23:34:25.0030143Z remote: Counting objects:  71% (172/242)        
2024-05-15T23:34:25.0030618Z remote: Counting objects:  72% (175/242)        
2024-05-15T23:34:25.0031087Z remote: Counting objects:  73% (177/242)        
2024-05-15T23:34:25.0031560Z remote: Counting objects:  74% (180/242)        
2024-05-15T23:34:25.0032032Z remote: Counting objects:  75% (182/242)        
2024-05-15T23:34:25.0032606Z remote: Counting objects:  76% (184/242)        
2024-05-15T23:34:25.0033084Z remote: Counting objects:  77% (187/242)        
2024-05-15T23:34:25.0033559Z remote: Counting objects:  78% (189/242)        
2024-05-15T23:34:25.0034032Z remote: Counting objects:  79% (192/242)        
2024-05-15T23:34:25.0034505Z remote: Counting objects:  80% (194/242)        
2024-05-15T23:34:25.0034978Z remote: Counting objects:  81% (197/242)        
2024-05-15T23:34:25.0035443Z remote: Counting objects:  82% (199/242)        
2024-05-15T23:34:25.0035915Z remote: Counting objects:  83% (201/242)        
2024-05-15T23:34:25.0036388Z remote: Counting objects:  84% (204/242)        
2024-05-15T23:34:25.0037066Z remote: Counting objects:  85% (206/242)        
2024-05-15T23:34:25.0037590Z remote: Counting objects:  86% (209/242)        
2024-05-15T23:34:25.0038070Z remote: Counting objects:  87% (211/242)        
2024-05-15T23:34:25.0038627Z remote: Counting objects:  88% (213/242)        
2024-05-15T23:34:25.0039296Z remote: Counting objects:  89% (216/242)        
2024-05-15T23:34:25.0039780Z remote: Counting objects:  90% (218/242)        
2024-05-15T23:34:25.0040254Z remote: Counting objects:  91% (221/242)        
2024-05-15T23:34:25.0040742Z remote: Counting objects:  92% (223/242)        
2024-05-15T23:34:25.0041223Z remote: Counting objects:  93% (226/242)        
2024-05-15T23:34:25.0041700Z remote: Counting objects:  94% (228/242)        
2024-05-15T23:34:25.0042177Z remote: Counting objects:  95% (230/242)        
2024-05-15T23:34:25.0042661Z remote: Counting objects:  96% (233/242)        
2024-05-15T23:34:25.0043146Z remote: Counting objects:  97% (235/242)        
2024-05-15T23:34:25.0043620Z remote: Counting objects:  98% (238/242)        
2024-05-15T23:34:25.0044304Z remote: Counting objects:  99% (240/242)        
2024-05-15T23:34:25.0044827Z remote: Counting objects: 100% (242/242)        
2024-05-15T23:34:25.0045349Z remote: Counting objects: 100% (242/242), done.        
2024-05-15T23:34:25.0046075Z remote: Compressing objects:   0% (1/202)        
2024-05-15T23:34:25.0046625Z remote: Compressing objects:   1% (3/202)        
2024-05-15T23:34:25.0047114Z remote: Compressing objects:   2% (5/202)        
2024-05-15T23:34:25.0047615Z remote: Compressing objects:   3% (7/202)        
2024-05-15T23:34:25.0048104Z remote: Compressing objects:   4% (9/202)        
2024-05-15T23:34:25.0048597Z remote: Compressing objects:   5% (11/202)        
2024-05-15T23:34:25.0049112Z remote: Compressing objects:   6% (13/202)        
2024-05-15T23:34:25.0049636Z remote: Compressing objects:   7% (15/202)        
2024-05-15T23:34:25.0050141Z remote: Compressing objects:   8% (17/202)        
2024-05-15T23:34:25.0050698Z remote: Compressing objects:   9% (19/202)        
2024-05-15T23:34:25.0051210Z remote: Compressing objects:  10% (21/202)        
2024-05-15T23:34:25.0051714Z remote: Compressing objects:  11% (23/202)        
2024-05-15T23:34:25.0052215Z remote: Compressing objects:  12% (25/202)        
2024-05-15T23:34:25.0052723Z remote: Compressing objects:  13% (27/202)        
2024-05-15T23:34:25.0053225Z remote: Compressing objects:  14% (29/202)        
2024-05-15T23:34:25.0053718Z remote: Compressing objects:  15% (31/202)        
2024-05-15T23:34:25.0057630Z remote: Compressing objects:  16% (33/202)        
2024-05-15T23:34:25.0067823Z remote: Compressing objects:  17% (35/202)        
2024-05-15T23:34:25.0071889Z remote: Compressing objects:  18% (37/202)        
2024-05-15T23:34:25.0077178Z remote: Compressing objects:  19% (39/202)        
2024-05-15T23:34:25.0092007Z remote: Compressing objects:  20% (41/202)        
2024-05-15T23:34:25.0094160Z remote: Compressing objects:  21% (43/202)        
2024-05-15T23:34:25.0094891Z remote: Compressing objects:  22% (45/202)        
2024-05-15T23:34:25.0095447Z remote: Compressing objects:  23% (47/202)        
2024-05-15T23:34:25.0096345Z remote: Compressing objects:  24% (49/202)        
2024-05-15T23:34:25.0097939Z remote: Compressing objects:  25% (51/202)        
2024-05-15T23:34:25.0098987Z remote: Compressing objects:  26% (53/202)        
2024-05-15T23:34:25.0100561Z remote: Compressing objects:  27% (55/202)        
2024-05-15T23:34:25.0108556Z remote: Compressing objects:  28% (57/202)        
2024-05-15T23:34:25.0110849Z remote: Compressing objects:  29% (59/202)        
2024-05-15T23:34:25.0111530Z remote: Compressing objects:  30% (61/202)        
2024-05-15T23:34:25.0112277Z remote: Compressing objects:  31% (63/202)        
2024-05-15T23:34:25.0113207Z remote: Compressing objects:  32% (65/202)        
2024-05-15T23:34:25.0113978Z remote: Compressing objects:  33% (67/202)        
2024-05-15T23:34:25.0114815Z remote: Compressing objects:  34% (69/202)        
2024-05-15T23:34:25.0115512Z remote: Compressing objects:  35% (71/202)        
2024-05-15T23:34:25.0116178Z remote: Compressing objects:  36% (73/202)        
2024-05-15T23:34:25.0116683Z remote: Compressing objects:  37% (75/202)        
2024-05-15T23:34:25.0117411Z remote: Compressing objects:  38% (77/202)        
2024-05-15T23:34:25.0118055Z remote: Compressing objects:  39% (79/202)        
2024-05-15T23:34:25.0118781Z remote: Compressing objects:  40% (81/202)        
2024-05-15T23:34:25.0119291Z remote: Compressing objects:  41% (83/202)        
2024-05-15T23:34:25.0119785Z remote: Compressing objects:  42% (85/202)        
2024-05-15T23:34:25.0121793Z remote: Compressing objects:  43% (87/202)        
2024-05-15T23:34:25.0124633Z remote: Compressing objects:  44% (89/202)        
2024-05-15T23:34:25.0127396Z remote: Compressing objects:  45% (91/202)        
2024-05-15T23:34:25.0128014Z remote: Compressing objects:  46% (93/202)        
2024-05-15T23:34:25.0128739Z remote: Compressing objects:  47% (95/202)        
2024-05-15T23:34:25.0129537Z remote: Compressing objects:  48% (97/202)        
2024-05-15T23:34:25.0130166Z remote: Compressing objects:  49% (99/202)        
2024-05-15T23:34:25.0130732Z remote: Compressing objects:  50% (101/202)        
2024-05-15T23:34:25.0131262Z remote: Compressing objects:  51% (104/202)        
2024-05-15T23:34:25.0131769Z remote: Compressing objects:  52% (106/202)        
2024-05-15T23:34:25.0132498Z remote: Compressing objects:  53% (108/202)        
2024-05-15T23:34:25.0134349Z remote: Compressing objects:  54% (110/202)        
2024-05-15T23:34:25.0134871Z remote: Compressing objects:  55% (112/202)        
2024-05-15T23:34:25.0138664Z remote: Compressing objects:  56% (114/202)        
2024-05-15T23:34:25.0139184Z remote: Compressing objects:  57% (116/202)        
2024-05-15T23:34:25.0139888Z remote: Compressing objects:  58% (118/202)        
2024-05-15T23:34:25.0140664Z remote: Compressing objects:  59% (120/202)        
2024-05-15T23:34:25.0141277Z remote: Compressing objects:  60% (122/202)        
2024-05-15T23:34:25.0141780Z remote: Compressing objects:  61% (124/202)        
2024-05-15T23:34:25.0142283Z remote: Compressing objects:  62% (126/202)        
2024-05-15T23:34:25.0145478Z remote: Compressing objects:  63% (128/202)        
2024-05-15T23:34:25.0147777Z remote: Compressing objects:  64% (130/202)        
2024-05-15T23:34:25.0148301Z remote: Compressing objects:  65% (132/202)        
2024-05-15T23:34:25.0149080Z remote: Compressing objects:  66% (134/202)        
2024-05-15T23:34:25.0151019Z remote: Compressing objects:  67% (136/202)        
2024-05-15T23:34:25.0151744Z remote: Compressing objects:  68% (138/202)        
2024-05-15T23:34:25.0152376Z remote: Compressing objects:  69% (140/202)        
2024-05-15T23:34:25.0152890Z remote: Compressing objects:  70% (142/202)        
2024-05-15T23:34:25.0153646Z remote: Compressing objects:  71% (144/202)        
2024-05-15T23:34:25.0154331Z remote: Compressing objects:  72% (146/202)        
2024-05-15T23:34:25.0155028Z remote: Compressing objects:  73% (148/202)        
2024-05-15T23:34:25.0158679Z remote: Compressing objects:  74% (150/202)        
2024-05-15T23:34:25.0160726Z remote: Compressing objects:  75% (152/202)        
2024-05-15T23:34:25.0162896Z remote: Compressing objects:  76% (154/202)        
2024-05-15T23:34:25.0172790Z remote: Compressing objects:  77% (156/202)        
2024-05-15T23:34:25.0176473Z remote: Compressing objects:  78% (158/202)        
2024-05-15T23:34:25.0177507Z remote: Compressing objects:  79% (160/202)        
2024-05-15T23:34:25.0178314Z remote: Compressing objects:  80% (162/202)        
2024-05-15T23:34:25.0179130Z remote: Compressing objects:  81% (164/202)        
2024-05-15T23:34:25.0179764Z remote: Compressing objects:  82% (166/202)        
2024-05-15T23:34:25.0180266Z remote: Compressing objects:  83% (168/202)        
2024-05-15T23:34:25.0180926Z remote: Compressing objects:  84% (170/202)        
2024-05-15T23:34:25.0181529Z remote: Compressing objects:  85% (172/202)        
2024-05-15T23:34:25.0182220Z remote: Compressing objects:  86% (174/202)        
2024-05-15T23:34:25.0182819Z remote: Compressing objects:  87% (176/202)        
2024-05-15T23:34:25.0183329Z remote: Compressing objects:  88% (178/202)        
2024-05-15T23:34:25.0183857Z remote: Compressing objects:  89% (180/202)        
2024-05-15T23:34:25.0184366Z remote: Compressing objects:  90% (182/202)        
2024-05-15T23:34:25.0184873Z remote: Compressing objects:  91% (184/202)        
2024-05-15T23:34:25.0185689Z remote: Compressing objects:  92% (186/202)        
2024-05-15T23:34:25.0186425Z remote: Compressing objects:  93% (188/202)        
2024-05-15T23:34:25.0186978Z remote: Compressing objects:  94% (190/202)        
2024-05-15T23:34:25.0187483Z remote: Compressing objects:  95% (192/202)        
2024-05-15T23:34:25.0187986Z remote: Compressing objects:  96% (194/202)        
2024-05-15T23:34:25.0188501Z remote: Compressing objects:  97% (196/202)        
2024-05-15T23:34:25.0189007Z remote: Compressing objects:  98% (198/202)        
2024-05-15T23:34:25.0189626Z remote: Compressing objects:  99% (200/202)        
2024-05-15T23:34:25.0190283Z remote: Compressing objects: 100% (202/202)        
2024-05-15T23:34:25.0190830Z remote: Compressing objects: 100% (202/202), done.        
2024-05-15T23:34:25.0200244Z Receiving objects:   0% (1/242)
2024-05-15T23:34:25.0200731Z Receiving objects:   1% (3/242)
2024-05-15T23:34:25.0201633Z Receiving objects:   2% (5/242)
2024-05-15T23:34:25.0202803Z Receiving objects:   3% (8/242)
2024-05-15T23:34:25.0203483Z Receiving objects:   4% (10/242)
2024-05-15T23:34:25.0203957Z Receiving objects:   5% (13/242)
2024-05-15T23:34:25.0206492Z Receiving objects:   6% (15/242)
2024-05-15T23:34:25.0207184Z Receiving objects:   7% (17/242)
2024-05-15T23:34:25.0208398Z Receiving objects:   8% (20/242)
2024-05-15T23:34:25.0208887Z Receiving objects:   9% (22/242)
2024-05-15T23:34:25.0209263Z Receiving objects:  10% (25/242)
2024-05-15T23:34:25.0209639Z Receiving objects:  11% (27/242)
2024-05-15T23:34:25.0215785Z Receiving objects:  12% (30/242)
2024-05-15T23:34:25.0217168Z Receiving objects:  13% (32/242)
2024-05-15T23:34:25.0219405Z Receiving objects:  14% (34/242)
2024-05-15T23:34:25.0219793Z Receiving objects:  15% (37/242)
2024-05-15T23:34:25.0220430Z Receiving objects:  16% (39/242)
2024-05-15T23:34:25.0220873Z Receiving objects:  17% (42/242)
2024-05-15T23:34:25.0221253Z Receiving objects:  18% (44/242)
2024-05-15T23:34:25.0221684Z Receiving objects:  19% (46/242)
2024-05-15T23:34:25.0222270Z Receiving objects:  20% (49/242)
2024-05-15T23:34:25.0222703Z Receiving objects:  21% (51/242)
2024-05-15T23:34:25.0223142Z Receiving objects:  22% (54/242)
2024-05-15T23:34:25.0223528Z Receiving objects:  23% (56/242)
2024-05-15T23:34:25.0223968Z Receiving objects:  24% (59/242)
2024-05-15T23:34:25.0224354Z Receiving objects:  25% (61/242)
2024-05-15T23:34:25.0224813Z Receiving objects:  26% (63/242)
2024-05-15T23:34:25.0225695Z Receiving objects:  27% (66/242)
2024-05-15T23:34:25.0226345Z Receiving objects:  28% (68/242)
2024-05-15T23:34:25.0226916Z Receiving objects:  29% (71/242)
2024-05-15T23:34:25.0227503Z Receiving objects:  30% (73/242)
2024-05-15T23:34:25.0228098Z Receiving objects:  31% (76/242)
2024-05-15T23:34:25.0228683Z Receiving objects:  32% (78/242)
2024-05-15T23:34:25.0229507Z Receiving objects:  33% (80/242)
2024-05-15T23:34:25.0230313Z Receiving objects:  34% (83/242)
2024-05-15T23:34:25.0230889Z Receiving objects:  35% (85/242)
2024-05-15T23:34:25.0231485Z Receiving objects:  36% (88/242)
2024-05-15T23:34:25.0232055Z Receiving objects:  37% (90/242)
2024-05-15T23:34:25.0232613Z Receiving objects:  38% (92/242)
2024-05-15T23:34:25.0233175Z Receiving objects:  39% (95/242)
2024-05-15T23:34:25.0233755Z Receiving objects:  40% (97/242)
2024-05-15T23:34:25.0234333Z Receiving objects:  41% (100/242)
2024-05-15T23:34:25.0234920Z Receiving objects:  42% (102/242)
2024-05-15T23:34:25.0235511Z Receiving objects:  43% (105/242)
2024-05-15T23:34:25.0236097Z Receiving objects:  44% (107/242)
2024-05-15T23:34:25.0236676Z Receiving objects:  45% (109/242)
2024-05-15T23:34:25.0237261Z Receiving objects:  46% (112/242)
2024-05-15T23:34:25.0240847Z Receiving objects:  47% (114/242)
2024-05-15T23:34:25.0241407Z Receiving objects:  48% (117/242)
2024-05-15T23:34:25.0242009Z Receiving objects:  49% (119/242)
2024-05-15T23:34:25.0244212Z Receiving objects:  50% (121/242)
2024-05-15T23:34:25.0246212Z Receiving objects:  51% (124/242)
2024-05-15T23:34:25.0246967Z Receiving objects:  52% (126/242)
2024-05-15T23:34:25.0247578Z Receiving objects:  53% (129/242)
2024-05-15T23:34:25.0248136Z Receiving objects:  54% (131/242)
2024-05-15T23:34:25.0248682Z Receiving objects:  55% (134/242)
2024-05-15T23:34:25.0249239Z Receiving objects:  56% (136/242)
2024-05-15T23:34:25.0249792Z Receiving objects:  57% (138/242)
2024-05-15T23:34:25.0250786Z Receiving objects:  58% (141/242)
2024-05-15T23:34:25.0252431Z Receiving objects:  59% (143/242)
2024-05-15T23:34:25.0253029Z Receiving objects:  60% (146/242)
2024-05-15T23:34:25.0253559Z Receiving objects:  61% (148/242)
2024-05-15T23:34:25.0254141Z Receiving objects:  62% (151/242)
2024-05-15T23:34:25.0257003Z Receiving objects:  63% (153/242)
2024-05-15T23:34:25.0258001Z Receiving objects:  64% (155/242)
2024-05-15T23:34:25.0258853Z Receiving objects:  65% (158/242)
2024-05-15T23:34:25.0260639Z Receiving objects:  66% (160/242)
2024-05-15T23:34:25.0262336Z Receiving objects:  67% (163/242)
2024-05-15T23:34:25.0263019Z Receiving objects:  68% (165/242)
2024-05-15T23:34:25.0273775Z Receiving objects:  69% (167/242)
2024-05-15T23:34:25.0276220Z Receiving objects:  70% (170/242)
2024-05-15T23:34:25.0278082Z Receiving objects:  71% (172/242)
2024-05-15T23:34:25.0283691Z Receiving objects:  72% (175/242)
2024-05-15T23:34:25.0290176Z Receiving objects:  73% (177/242)
2024-05-15T23:34:25.0290723Z Receiving objects:  74% (180/242)
2024-05-15T23:34:25.0291113Z Receiving objects:  75% (182/242)
2024-05-15T23:34:25.0299640Z Receiving objects:  76% (184/242)
2024-05-15T23:34:25.0301179Z Receiving objects:  77% (187/242)
2024-05-15T23:34:25.0306298Z Receiving objects:  78% (189/242)
2024-05-15T23:34:25.0306839Z Receiving objects:  79% (192/242)
2024-05-15T23:34:25.0307361Z Receiving objects:  80% (194/242)
2024-05-15T23:34:25.0307880Z Receiving objects:  81% (197/242)
2024-05-15T23:34:25.0316834Z Receiving objects:  82% (199/242)
2024-05-15T23:34:25.0317391Z Receiving objects:  83% (201/242)
2024-05-15T23:34:25.0318174Z Receiving objects:  84% (204/242)
2024-05-15T23:34:25.0319177Z Receiving objects:  85% (206/242)
2024-05-15T23:34:25.0321471Z Receiving objects:  86% (209/242)
2024-05-15T23:34:25.0322015Z Receiving objects:  87% (211/242)
2024-05-15T23:34:25.0322466Z Receiving objects:  88% (213/242)
2024-05-15T23:34:25.0322843Z Receiving objects:  89% (216/242)
2024-05-15T23:34:25.0323362Z Receiving objects:  90% (218/242)
2024-05-15T23:34:25.0325372Z Receiving objects:  91% (221/242)
2024-05-15T23:34:25.0325939Z Receiving objects:  92% (223/242)
2024-05-15T23:34:25.0326470Z Receiving objects:  93% (226/242)
2024-05-15T23:34:25.0332880Z Receiving objects:  94% (228/242)
2024-05-15T23:34:25.0333414Z Receiving objects:  95% (230/242)
2024-05-15T23:34:25.0333856Z Receiving objects:  96% (233/242)
2024-05-15T23:34:25.0334368Z Receiving objects:  97% (235/242)
2024-05-15T23:34:25.0335318Z remote: Total 242 (delta 16), reused 141 (delta 3), pack-reused 0        
2024-05-15T23:34:25.0337218Z Receiving objects:  98% (238/242)
2024-05-15T23:34:25.0337755Z Receiving objects:  99% (240/242)
2024-05-15T23:34:25.0338182Z Receiving objects: 100% (242/242)
2024-05-15T23:34:25.0338697Z Receiving objects: 100% (242/242), 318.88 KiB | 22.78 MiB/s, done.
2024-05-15T23:34:25.0357636Z Resolving deltas:   0% (0/16)
2024-05-15T23:34:25.0358210Z Resolving deltas:  12% (2/16)
2024-05-15T23:34:25.0358724Z Resolving deltas:  18% (3/16)
2024-05-15T23:34:25.0359260Z Resolving deltas:  25% (4/16)
2024-05-15T23:34:25.0359789Z Resolving deltas:  31% (5/16)
2024-05-15T23:34:25.0360353Z Resolving deltas:  37% (6/16)
2024-05-15T23:34:25.0360948Z Resolving deltas:  43% (7/16)
2024-05-15T23:34:25.0361524Z Resolving deltas:  50% (8/16)
2024-05-15T23:34:25.0362113Z Resolving deltas:  56% (9/16)
2024-05-15T23:34:25.0362703Z Resolving deltas:  62% (10/16)
2024-05-15T23:34:25.0363204Z Resolving deltas:  81% (13/16)
2024-05-15T23:34:25.0363823Z Resolving deltas:  93% (15/16)
2024-05-15T23:34:25.0366690Z Resolving deltas: 100% (16/16)
2024-05-15T23:34:25.0367303Z Resolving deltas: 100% (16/16), done.
2024-05-15T23:34:25.0481543Z From https://github.com/pytorch/torchchat
2024-05-15T23:34:25.0482195Z  * [new ref]         refs/pull/804/merge -> pull/804/merge
2024-05-15T23:34:25.0495985Z ##[endgroup]
2024-05-15T23:34:25.0496806Z ##[group]Determining the checkout info
2024-05-15T23:34:25.0499231Z ##[endgroup]
2024-05-15T23:34:25.0499979Z ##[group]Checking out the ref
2024-05-15T23:34:25.0503648Z [command]/usr/bin/git checkout --progress --force refs/remotes/pull/804/merge
2024-05-15T23:34:25.0605781Z Note: switching to 'refs/remotes/pull/804/merge'.
2024-05-15T23:34:25.0606145Z 
2024-05-15T23:34:25.0606640Z You are in 'detached HEAD' state. You can look around, make experimental
2024-05-15T23:34:25.0607628Z changes and commit them, and you can discard any commits you make in this
2024-05-15T23:34:25.0608379Z state without impacting any branches by switching back to a branch.
2024-05-15T23:34:25.0608829Z 
2024-05-15T23:34:25.0609229Z If you want to create a new branch to retain commits you create, you may
2024-05-15T23:34:25.0610149Z do so (now or later) by using -c with the switch command. Example:
2024-05-15T23:34:25.0610578Z 
2024-05-15T23:34:25.0610764Z   git switch -c <new-branch-name>
2024-05-15T23:34:25.0611029Z 
2024-05-15T23:34:25.0611164Z Or undo this operation with:
2024-05-15T23:34:25.0611408Z 
2024-05-15T23:34:25.0611526Z   git switch -
2024-05-15T23:34:25.0611700Z 
2024-05-15T23:34:25.0612036Z Turn off this advice by setting config variable advice.detachedHead to false
2024-05-15T23:34:25.0612512Z 
2024-05-15T23:34:25.0613014Z HEAD is now at 0675758 Merge 5afec79d2a21e03d2f27855b184e97600186532c into db12669870c44a9aabc3376566b2503bd1dafcae
2024-05-15T23:34:25.0614416Z ##[endgroup]
2024-05-15T23:34:25.0638578Z [command]/usr/bin/git log -1 --format='%H'
2024-05-15T23:34:25.0653783Z '0675758ce54b35cb210ea6a9f57b121669315979'
2024-05-15T23:34:25.0818322Z Prepare all required actions
2024-05-15T23:34:25.0937470Z ##[group]Run ./test-infra/.github/actions/calculate-docker-image
2024-05-15T23:34:25.0938119Z with:
2024-05-15T23:34:25.0938472Z   docker-image-name: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:25.0938950Z   docker-build-dir: .ci/docker
2024-05-15T23:34:25.0939343Z   working-directory: pytorch/torchchat
2024-05-15T23:34:25.0939882Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-05-15T23:34:25.0940397Z   force-push: false
2024-05-15T23:34:25.0940697Z env:
2024-05-15T23:34:25.0941016Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:25.0941463Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:34:25.0941832Z   PR_NUMBER: 804
2024-05-15T23:34:25.0948338Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:34:25.0955542Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:34:25.0956326Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:34:25.0957051Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:34:25.0957664Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:34:25.0958150Z ##[endgroup]
2024-05-15T23:34:25.0976712Z ##[group]Run set -ex
2024-05-15T23:34:25.0977069Z set -ex
2024-05-15T23:34:25.0977356Z 
2024-05-15T23:34:25.0977904Z # If the docker build directory or the build script doesn't exist, the action will
2024-05-15T23:34:25.0978817Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2024-05-15T23:34:25.0979601Z # job could then download the pre-built image as usual
2024-05-15T23:34:25.0980323Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/build.sh" ]]; then
2024-05-15T23:34:25.0980982Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2024-05-15T23:34:25.0981608Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2024-05-15T23:34:25.0982153Z 
2024-05-15T23:34:25.0982654Z   echo "There is no Docker build script in ${REPO_NAME} repo, skipping..."
2024-05-15T23:34:25.0983263Z   exit 0
2024-05-15T23:34:25.0983558Z else
2024-05-15T23:34:25.0983923Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2024-05-15T23:34:25.0984435Z fi
2024-05-15T23:34:25.0984706Z 
2024-05-15T23:34:25.0985167Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2024-05-15T23:34:25.0986004Z   # The docker image name already includes the ECR prefix and tag, so we can just
2024-05-15T23:34:25.0986861Z   # use it as it is, but first let's extract the tag
2024-05-15T23:34:25.0987550Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2024-05-15T23:34:25.0988331Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2024-05-15T23:34:25.0989013Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2024-05-15T23:34:25.0989741Z else
2024-05-15T23:34:25.0990356Z   DOCKER_TAG=$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2024-05-15T23:34:25.0991057Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2024-05-15T23:34:25.0991927Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2024-05-15T23:34:25.0992653Z fi
2024-05-15T23:34:25.1000183Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:34:25.1000677Z env:
2024-05-15T23:34:25.1000989Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:25.1001455Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:34:25.1001828Z   PR_NUMBER: 804
2024-05-15T23:34:25.1008284Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:34:25.1015287Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:34:25.1016062Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:34:25.1016779Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:34:25.1017382Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:34:25.1017869Z   REPO_NAME: torchchat
2024-05-15T23:34:25.1018268Z   DOCKER_IMAGE_NAME: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:25.1018739Z   DOCKER_BUILD_DIR: .ci/docker
2024-05-15T23:34:25.1019231Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-05-15T23:34:25.1019742Z ##[endgroup]
2024-05-15T23:34:25.1041286Z + [[ ! -d .ci/docker ]]
2024-05-15T23:34:25.1041668Z + echo skip=true
2024-05-15T23:34:25.1042505Z + echo docker-image=pytorch/conda-builder:cuda12.1
2024-05-15T23:34:25.1104378Z + echo 'There is no Docker build script in torchchat repo, skipping...'
2024-05-15T23:34:25.1104952Z + exit 0
2024-05-15T23:34:25.1105355Z There is no Docker build script in torchchat repo, skipping...
2024-05-15T23:34:25.1219946Z Prepare all required actions
2024-05-15T23:34:25.1256289Z ##[group]Run ./test-infra/.github/actions/pull-docker-image
2024-05-15T23:34:25.1256775Z with:
2024-05-15T23:34:25.1257111Z   docker-image: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:25.1257681Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-05-15T23:34:25.1258190Z env:
2024-05-15T23:34:25.1258510Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:25.1258960Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:34:25.1259333Z   PR_NUMBER: 804
2024-05-15T23:34:25.1265946Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:34:25.1273298Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:34:25.1274074Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:34:25.1274793Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:34:25.1275412Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:34:25.1275891Z ##[endgroup]
2024-05-15T23:34:25.1292664Z ##[group]Run set -x
2024-05-15T23:34:25.1293003Z set -x
2024-05-15T23:34:25.1293302Z set +e
2024-05-15T23:34:25.1293597Z 
2024-05-15T23:34:25.1293875Z login() {
2024-05-15T23:34:25.1294522Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2024-05-15T23:34:25.1295224Z }
2024-05-15T23:34:25.1295495Z 
2024-05-15T23:34:25.1295775Z retry () {
2024-05-15T23:34:25.1296161Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2024-05-15T23:34:25.1296598Z }
2024-05-15T23:34:25.1296873Z 
2024-05-15T23:34:25.1297188Z retry login "${DOCKER_REGISTRY}"
2024-05-15T23:34:25.1297589Z 
2024-05-15T23:34:25.1297861Z set -e
2024-05-15T23:34:25.1298323Z # ignore output since only exit code is used for conditional
2024-05-15T23:34:25.1299003Z # only pull docker image if it's not available locally
2024-05-15T23:34:25.1299746Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2024-05-15T23:34:25.1300426Z   retry docker pull "${DOCKER_IMAGE}"
2024-05-15T23:34:25.1300858Z fi
2024-05-15T23:34:25.1308323Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:34:25.1308854Z env:
2024-05-15T23:34:25.1309188Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:25.1309745Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:34:25.1310264Z   PR_NUMBER: 804
2024-05-15T23:34:25.1316839Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:34:25.1323879Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:34:25.1324649Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:34:25.1325371Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:34:25.1325986Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:34:25.1326594Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-05-15T23:34:25.1327108Z ##[endgroup]
2024-05-15T23:34:25.1346866Z + set +e
2024-05-15T23:34:25.1347369Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-05-15T23:34:25.1348004Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-05-15T23:34:25.1350173Z + aws ecr get-login-password --region us-east-1
2024-05-15T23:34:25.1350927Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-05-15T23:34:25.5536670Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2024-05-15T23:34:25.5537741Z Configure a credential helper to remove this warning. See
2024-05-15T23:34:25.5538778Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2024-05-15T23:34:25.5539362Z 
2024-05-15T23:34:25.5539489Z Login Succeeded
2024-05-15T23:34:25.5550429Z + set -e
2024-05-15T23:34:25.5550908Z + docker inspect --type=image pytorch/conda-builder:cuda12.1
2024-05-15T23:34:25.5699768Z + retry docker pull pytorch/conda-builder:cuda12.1
2024-05-15T23:34:25.5700401Z + docker pull pytorch/conda-builder:cuda12.1
2024-05-15T23:34:25.7358688Z cuda12.1: Pulling from pytorch/conda-builder
2024-05-15T23:34:25.7360695Z 2d473b07cdd5: Pulling fs layer
2024-05-15T23:34:25.7361253Z bcb41e0a6c79: Pulling fs layer
2024-05-15T23:34:25.7361794Z cf840f748311: Pulling fs layer
2024-05-15T23:34:25.7362329Z 716e37aeaebd: Pulling fs layer
2024-05-15T23:34:25.7362866Z 26102e172763: Pulling fs layer
2024-05-15T23:34:25.7363398Z f22bd6818f48: Pulling fs layer
2024-05-15T23:34:25.7363811Z 6b9efdae7507: Pulling fs layer
2024-05-15T23:34:25.7364181Z 38cebe59a028: Pulling fs layer
2024-05-15T23:34:25.7364540Z be3530973190: Pulling fs layer
2024-05-15T23:34:25.7364911Z c1abeb582c1a: Pulling fs layer
2024-05-15T23:34:25.7365277Z f2754d996029: Pulling fs layer
2024-05-15T23:34:25.7365652Z d4abe1a37696: Pulling fs layer
2024-05-15T23:34:25.7366030Z ffa9ecd4a5aa: Pulling fs layer
2024-05-15T23:34:25.7366485Z 30a9fd1610c3: Pulling fs layer
2024-05-15T23:34:25.7366844Z 6a123a6dec9d: Pulling fs layer
2024-05-15T23:34:25.7367214Z f22bd6818f48: Waiting
2024-05-15T23:34:25.7367546Z b843a4702cbe: Pulling fs layer
2024-05-15T23:34:25.7367906Z a03032e01a4f: Pulling fs layer
2024-05-15T23:34:25.7368452Z e5f4ea5256df: Pulling fs layer
2024-05-15T23:34:25.7368814Z 38cebe59a028: Waiting
2024-05-15T23:34:25.7369138Z 3e74cc4aca2f: Pulling fs layer
2024-05-15T23:34:25.7369505Z 5deb332f00f2: Pulling fs layer
2024-05-15T23:34:25.7369855Z 6b9efdae7507: Waiting
2024-05-15T23:34:25.7370173Z 145717b5edc0: Pulling fs layer
2024-05-15T23:34:25.7370536Z 122da0886b25: Pulling fs layer
2024-05-15T23:34:25.7370877Z be3530973190: Waiting
2024-05-15T23:34:25.7371173Z 716e37aeaebd: Waiting
2024-05-15T23:34:25.7371481Z c1abeb582c1a: Waiting
2024-05-15T23:34:25.7371788Z 6a123a6dec9d: Waiting
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2024-05-15T23:34:25.7373388Z b843a4702cbe: Waiting
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2024-05-15T23:34:25.7374289Z ffa9ecd4a5aa: Waiting
2024-05-15T23:34:25.7374601Z d4abe1a37696: Waiting
2024-05-15T23:34:25.7374909Z 5deb332f00f2: Waiting
2024-05-15T23:34:25.7375219Z e5f4ea5256df: Waiting
2024-05-15T23:34:26.5005309Z cf840f748311: Verifying Checksum
2024-05-15T23:34:26.5005876Z cf840f748311: Download complete
2024-05-15T23:34:26.5224198Z 2d473b07cdd5: Verifying Checksum
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2024-05-15T23:34:26.5404819Z 716e37aeaebd: Download complete
2024-05-15T23:34:26.6533413Z f22bd6818f48: Verifying Checksum
2024-05-15T23:34:26.6534264Z f22bd6818f48: Download complete
2024-05-15T23:34:27.1101006Z 26102e172763: Verifying Checksum
2024-05-15T23:34:27.1101623Z 26102e172763: Download complete
2024-05-15T23:34:27.1634798Z bcb41e0a6c79: Verifying Checksum
2024-05-15T23:34:27.2039481Z 38cebe59a028: Verifying Checksum
2024-05-15T23:34:27.2039946Z 38cebe59a028: Download complete
2024-05-15T23:34:27.9394866Z c1abeb582c1a: Verifying Checksum
2024-05-15T23:34:27.9395535Z c1abeb582c1a: Download complete
2024-05-15T23:34:28.0598895Z 6b9efdae7507: Verifying Checksum
2024-05-15T23:34:28.0599468Z 6b9efdae7507: Download complete
2024-05-15T23:34:28.1123425Z d4abe1a37696: Verifying Checksum
2024-05-15T23:34:28.1123884Z d4abe1a37696: Download complete
2024-05-15T23:34:28.1626659Z ffa9ecd4a5aa: Verifying Checksum
2024-05-15T23:34:28.1627133Z ffa9ecd4a5aa: Download complete
2024-05-15T23:34:28.2493636Z 2d473b07cdd5: Pull complete
2024-05-15T23:34:28.2495409Z be3530973190: Verifying Checksum
2024-05-15T23:34:28.2495794Z be3530973190: Download complete
2024-05-15T23:34:28.3800118Z 6a123a6dec9d: Verifying Checksum
2024-05-15T23:34:28.3800868Z 6a123a6dec9d: Download complete
2024-05-15T23:34:28.4371610Z b843a4702cbe: Download complete
2024-05-15T23:34:28.4907556Z f2754d996029: Verifying Checksum
2024-05-15T23:34:28.4908292Z f2754d996029: Download complete
2024-05-15T23:34:28.5357393Z e5f4ea5256df: Verifying Checksum
2024-05-15T23:34:28.5358207Z e5f4ea5256df: Download complete
2024-05-15T23:34:28.6755793Z 3e74cc4aca2f: Verifying Checksum
2024-05-15T23:34:28.6756457Z 3e74cc4aca2f: Download complete
2024-05-15T23:34:28.7285725Z 5deb332f00f2: Verifying Checksum
2024-05-15T23:34:28.7286341Z 5deb332f00f2: Download complete
2024-05-15T23:34:28.7790163Z 145717b5edc0: Verifying Checksum
2024-05-15T23:34:28.7790745Z 145717b5edc0: Download complete
2024-05-15T23:34:30.6469039Z bcb41e0a6c79: Pull complete
2024-05-15T23:34:32.2777124Z cf840f748311: Pull complete
2024-05-15T23:34:32.3869348Z 716e37aeaebd: Pull complete
2024-05-15T23:34:32.5864150Z a03032e01a4f: Verifying Checksum
2024-05-15T23:34:32.5864715Z a03032e01a4f: Download complete
2024-05-15T23:34:33.5424177Z 26102e172763: Pull complete
2024-05-15T23:34:33.7694874Z f22bd6818f48: Pull complete
2024-05-15T23:34:34.3450291Z 122da0886b25: Verifying Checksum
2024-05-15T23:34:34.3450764Z 122da0886b25: Download complete
2024-05-15T23:34:36.2456215Z 6b9efdae7507: Pull complete
2024-05-15T23:34:36.4635846Z 38cebe59a028: Pull complete
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2024-05-15T23:34:40.2395243Z c1abeb582c1a: Pull complete
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2024-05-15T23:34:40.4496668Z d4abe1a37696: Pull complete
2024-05-15T23:34:40.5425785Z ffa9ecd4a5aa: Pull complete
2024-05-15T23:35:19.1419110Z 30a9fd1610c3: Verifying Checksum
2024-05-15T23:35:19.1419650Z 30a9fd1610c3: Download complete
2024-05-15T23:36:08.7878550Z 30a9fd1610c3: Pull complete
2024-05-15T23:36:09.2021495Z 6a123a6dec9d: Pull complete
2024-05-15T23:36:09.4484356Z b843a4702cbe: Pull complete
2024-05-15T23:36:17.3514423Z a03032e01a4f: Pull complete
2024-05-15T23:36:17.5758691Z e5f4ea5256df: Pull complete
2024-05-15T23:36:18.0579088Z 3e74cc4aca2f: Pull complete
2024-05-15T23:36:18.2757090Z 5deb332f00f2: Pull complete
2024-05-15T23:36:18.4926062Z 145717b5edc0: Pull complete
2024-05-15T23:36:28.7785261Z 122da0886b25: Pull complete
2024-05-15T23:36:28.8834953Z Digest: sha256:91def7add5f9900a7cd9149cc9f4eacc6da0cd662e43866d43deee758068d79c
2024-05-15T23:36:28.9276314Z Status: Downloaded newer image for pytorch/conda-builder:cuda12.1
2024-05-15T23:36:28.9493843Z docker.io/pytorch/conda-builder:cuda12.1
2024-05-15T23:36:28.9598933Z ##[group]Run set -ex
2024-05-15T23:36:28.9599303Z set -ex
2024-05-15T23:36:28.9599591Z {
2024-05-15T23:36:28.9599897Z   echo "#!/usr/bin/env bash";
2024-05-15T23:36:28.9600312Z   echo "set -eou pipefail";
2024-05-15T23:36:28.9600734Z   # shellcheck disable=SC2016
2024-05-15T23:36:28.9601201Z   echo 'eval "$(conda shell.bash hook)"';
2024-05-15T23:36:28.9601667Z   echo "set -x";
2024-05-15T23:36:28.9602013Z   echo "${SCRIPT}";
2024-05-15T23:36:28.9602399Z } > "${RUNNER_TEMP}/exec_script"
2024-05-15T23:36:28.9602858Z chmod +x "${RUNNER_TEMP}/exec_script"
2024-05-15T23:36:28.9603768Z python3 "/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/.github/scripts/run_with_env_secrets.py" ""
2024-05-15T23:36:28.9612083Z shell: /usr/bin/bash -e {0}
2024-05-15T23:36:28.9612417Z env:
2024-05-15T23:36:28.9612798Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:36:28.9613253Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:36:28.9613626Z   PR_NUMBER: 804
2024-05-15T23:36:28.9620178Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:36:28.9627388Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:36:28.9628146Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:36:28.9628938Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:36:28.9629552Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:36:28.9630544Z   ALL_SECRETS: {
  "github_token": "***"
}
2024-05-15T23:36:28.9630952Z ##[endgroup]
2024-05-15T23:36:28.9652776Z + echo '#!/usr/bin/env bash'
2024-05-15T23:36:28.9653201Z + echo 'set -eou pipefail'
2024-05-15T23:36:28.9653615Z + echo 'eval "$(conda shell.bash hook)"'
2024-05-15T23:36:28.9654080Z + echo 'set -x'
2024-05-15T23:36:28.9654523Z + echo 'echo "::group::Print machine info"
2024-05-15T23:36:28.9659541Z nvidia-smi
2024-05-15T23:36:28.9660224Z echo "::endgroup::"
2024-05-15T23:36:28.9660549Z 
2024-05-15T23:36:28.9661012Z echo "::group::Install newer objcopy that supports --set-section-alignment"
2024-05-15T23:36:28.9661827Z yum install -y  devtoolset-10-binutils
2024-05-15T23:36:28.9662381Z export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
2024-05-15T23:36:28.9662856Z echo "::endgroup::"
2024-05-15T23:36:28.9663050Z 
2024-05-15T23:36:28.9663216Z echo "::group::Install required packages"
2024-05-15T23:36:28.9663653Z ./install_requirements.sh cuda
2024-05-15T23:36:28.9664004Z pip list
2024-05-15T23:36:28.9664730Z python3 -c '\''import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'\''
2024-05-15T23:36:28.9665403Z echo "::endgroup::"
2024-05-15T23:36:28.9665600Z 
2024-05-15T23:36:28.9665760Z echo "::group::Download checkpoint"
2024-05-15T23:36:28.9666181Z export REPO_NAME=tinyllamas/stories15M
2024-05-15T23:36:28.9667726Z 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
2024-05-15T23:36:28.9669394Z echo "::endgroup::"
2024-05-15T23:36:28.9669595Z 
2024-05-15T23:36:28.9669736Z echo "::group::Convert checkpoint"
2024-05-15T23:36:28.9670561Z bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
2024-05-15T23:36:28.9671159Z echo "::endgroup::"
2024-05-15T23:36:28.9671359Z 
2024-05-15T23:36:28.9671493Z echo "::group::Run inference"
2024-05-15T23:36:28.9672195Z bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cuda" "aoti-float16"
2024-05-15T23:36:28.9672846Z echo "::endgroup::"
2024-05-15T23:36:28.9673045Z 
2024-05-15T23:36:28.9673256Z echo "::group::Run inference with quantize file"
2024-05-15T23:36:28.9673823Z if [ $(uname -s) == Darwin ]; then
2024-05-15T23:36:28.9674877Z   python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
2024-05-15T23:36:28.9676135Z      python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
2024-05-15T23:36:28.9676827Z fi
2024-05-15T23:36:28.9677083Z echo "::endgroup::"
2024-05-15T23:36:28.9677389Z '
2024-05-15T23:36:28.9677835Z + chmod +x /home/ec2-user/actions-runner/_work/_temp/exec_script
2024-05-15T23:36:28.9678862Z + python3 /home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/.github/scripts/run_with_env_secrets.py ''
2024-05-15T23:37:33.6896827Z Running command: 
2024-05-15T23:37:33.6904241Z         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_9103923202"             `# 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             --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_37621ad5-d003-4179-8507-65ed14304ea0":"/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_37621ad5-d003-4179-8507-65ed14304ea0"             -w /pytorch/torchchat             "pytorch/conda-builder:cuda12.1"
2024-05-15T23:37:33.6911166Z         
2024-05-15T23:37:33.6911819Z 4f78ed148409e0bb21609703b6de8423328d1febd77d3f4e8f1aa202fb6b080f
2024-05-15T23:37:33.6912812Z Running command: docker exec -t 4f78ed148409e0bb21609703b6de8423328d1febd77d3f4e8f1aa202fb6b080f /exec
2024-05-15T23:37:33.6913724Z + echo '::group::Print machine info'
2024-05-15T23:37:33.6914566Z ##[group]Print machine info
2024-05-15T23:37:33.6914937Z + nvidia-smi
2024-05-15T23:37:33.6915231Z Wed May 15 23:37:26 2024       
2024-05-15T23:37:33.6915771Z +-----------------------------------------------------------------------------------------+
2024-05-15T23:37:33.6916701Z | NVIDIA-SMI 550.54.15              Driver Version: 550.54.15      CUDA Version: 12.4     |
2024-05-15T23:37:33.6917593Z |-----------------------------------------+------------------------+----------------------+
2024-05-15T23:37:33.6918492Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2024-05-15T23:37:33.6919360Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2024-05-15T23:37:33.6920043Z |                                         |                        |               MIG M. |
2024-05-15T23:37:33.6920586Z |=========================================+========================+======================|
2024-05-15T23:37:33.6921270Z |   0  NVIDIA A10G                    Off |   00000000:00:1E.0 Off |                    0 |
2024-05-15T23:37:33.6922117Z |  0%   29C    P0             55W /  300W |       0MiB /  23028MiB |      0%      Default |
2024-05-15T23:37:33.6922743Z |                                         |                        |                  N/A |
2024-05-15T23:37:33.6923400Z +-----------------------------------------+------------------------+----------------------+
2024-05-15T23:37:33.6923961Z                                                                                          
2024-05-15T23:37:33.6924597Z +-----------------------------------------------------------------------------------------+
2024-05-15T23:37:33.6925208Z | Processes:                                                                              |
2024-05-15T23:37:33.6925900Z |  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
2024-05-15T23:37:33.6926571Z |        ID   ID                                                               Usage      |
2024-05-15T23:37:33.6927120Z |=========================================================================================|
2024-05-15T23:37:33.6927751Z |  No running processes found                                                             |
2024-05-15T23:37:33.6931131Z +-----------------------------------------------------------------------------------------+
2024-05-15T23:37:33.6949530Z + echo ::endgroup::
2024-05-15T23:37:33.6950710Z ##[endgroup]
2024-05-15T23:37:33.6951549Z + echo '::group::Install newer objcopy that supports --set-section-alignment'
2024-05-15T23:37:33.6952908Z ##[group]Install newer objcopy that supports --set-section-alignment
2024-05-15T23:37:33.6953740Z + yum install -y devtoolset-10-binutils
2024-05-15T23:37:33.6954188Z Loaded plugins: fastestmirror, ovl
2024-05-15T23:37:33.6954584Z Determining fastest mirrors
2024-05-15T23:37:33.6954816Z 
2024-05-15T23:37:33.6955090Z epel/x86_64/metalink                                     |  20 kB     00:00     
2024-05-15T23:37:33.6955646Z  * base: download.cf.centos.org
2024-05-15T23:37:33.6956103Z  * centos-sclo-rh: download.cf.centos.org
2024-05-15T23:37:33.6956593Z  * centos-sclo-sclo: download.cf.centos.org
2024-05-15T23:37:33.6957058Z  * epel: d2lzkl7pfhq30w.cloudfront.net
2024-05-15T23:37:33.6957484Z  * extras: download.cf.centos.org
2024-05-15T23:37:33.6957879Z  * updates: download.cf.centos.org
2024-05-15T23:37:33.6958150Z 
2024-05-15T23:37:33.6958357Z base                                                     | 3.6 kB     00:00     
2024-05-15T23:37:33.6958725Z 
2024-05-15T23:37:33.6959037Z centos-sclo-rh                                           | 3.0 kB     00:00     
2024-05-15T23:37:33.6959438Z 
2024-05-15T23:37:33.6959937Z centos-sclo-sclo                                         | 3.0 kB     00:00     
2024-05-15T23:37:33.6960349Z 
2024-05-15T23:37:33.6960551Z epel                                                     | 4.3 kB     00:00     
2024-05-15T23:37:33.6960912Z 
2024-05-15T23:37:33.6961120Z extras                                                   | 2.9 kB     00:00     
2024-05-15T23:37:33.6961495Z 
2024-05-15T23:37:33.6961709Z updates                                                  | 2.9 kB     00:00     
2024-05-15T23:37:33.6962074Z 
2024-05-15T23:37:33.6962441Z (1/4): epel/x86_64/group                                   | 399 kB   00:00     
2024-05-15T23:37:33.6962862Z 
2024-05-15T23:37:33.6963215Z (2/4): epel/x86_64/updateinfo                              | 1.0 MB   00:00     
2024-05-15T23:37:33.6963641Z 
2024-05-15T23:37:33.6963913Z (3/4): epel/x86_64/primary_db                              | 8.7 MB   00:00     
2024-05-15T23:37:33.6964340Z 
2024-05-15T23:37:33.6964631Z (4/4): updates/7/x86_64/primary_db                         |  27 MB   00:00     
2024-05-15T23:37:33.6965200Z Resolving Dependencies
2024-05-15T23:37:33.6965568Z --> Running transaction check
2024-05-15T23:37:33.6966179Z ---> Package devtoolset-10-binutils.x86_64 0:2.35-5.el7.4 will be installed
2024-05-15T23:37:33.6967164Z --> Processing Dependency: devtoolset-10-runtime for package: devtoolset-10-binutils-2.35-5.el7.4.x86_64
2024-05-15T23:37:33.6967924Z --> Running transaction check
2024-05-15T23:37:33.6968511Z ---> Package devtoolset-10-runtime.x86_64 0:10.1-0.el7 will be installed
2024-05-15T23:37:33.6969121Z --> Finished Dependency Resolution
2024-05-15T23:37:33.6969384Z 
2024-05-15T23:37:33.6969503Z Dependencies Resolved
2024-05-15T23:37:33.6969713Z 
2024-05-15T23:37:33.6969887Z ================================================================================
2024-05-15T23:37:33.6970456Z  Package                   Arch      Version            Repository         Size
2024-05-15T23:37:33.6971046Z ================================================================================
2024-05-15T23:37:33.6971498Z Installing:
2024-05-15T23:37:33.6972044Z  devtoolset-10-binutils    x86_64    2.35-5.el7.4       centos-sclo-rh    6.3 M
2024-05-15T23:37:33.6972633Z Installing for dependencies:
2024-05-15T23:37:33.6973242Z  devtoolset-10-runtime     x86_64    10.1-0.el7         centos-sclo-rh     19 k
2024-05-15T23:37:33.6973702Z 
2024-05-15T23:37:33.6973818Z Transaction Summary
2024-05-15T23:37:33.6974182Z ================================================================================
2024-05-15T23:37:33.6974663Z Install  1 Package (+1 Dependent package)
2024-05-15T23:37:33.6974965Z 
2024-05-15T23:37:33.6975091Z Total download size: 6.3 M
2024-05-15T23:37:33.6975435Z Installed size: 25 M
2024-05-15T23:37:33.6975748Z Downloading packages:
2024-05-15T23:37:33.6975960Z 
2024-05-15T23:37:33.6976371Z (1/2): devtoolset-10-binutils-2.35-5.el7.4.x86_64.rpm      | 6.3 MB   00:00     
2024-05-15T23:37:33.6976866Z 
2024-05-15T23:37:33.6977266Z (2/2): devtoolset-10-runtime-10.1-0.el7.x86_64.rpm         |  19 kB   00:00     
2024-05-15T23:37:33.6978012Z --------------------------------------------------------------------------------
2024-05-15T23:37:33.6978570Z Total                                               32 MB/s | 6.3 MB  00:00     
2024-05-15T23:37:33.6979061Z Running transaction check
2024-05-15T23:37:33.6979407Z Running transaction test
2024-05-15T23:37:33.6979744Z Transaction test succeeded
2024-05-15T23:37:33.6980084Z Running transaction
2024-05-15T23:37:33.6980272Z 
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2024-05-15T23:37:35.8647398Z   Installing : devtoolset-10-runtime-10.1-0.el7.x86_64                      1/2 
2024-05-15T23:37:35.8648180Z ValueError: SELinux policy is not managed or store cannot be accessed.
2024-05-15T23:37:35.8648626Z 
2024-05-15T23:37:35.8648998Z   Installing : devtoolset-10-binutils-2.35- [                             ] 2/2
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2024-05-15T23:37:35.8673125Z   Installing : devtoolset-10-binutils-2.35-5.el7.4.x86_64                   2/2 
2024-05-15T23:37:35.8674079Z install-info: No such file or directory for /opt/rh/devtoolset-10/root/usr/share/info/as.info.gz
2024-05-15T23:37:35.8675225Z install-info: No such file or directory for /opt/rh/devtoolset-10/root/usr/share/info/binutils.info.gz
2024-05-15T23:37:35.8676307Z install-info: No such file or directory for /opt/rh/devtoolset-10/root/usr/share/info/gprof.info.gz
2024-05-15T23:37:35.8677358Z install-info: No such file or directory for /opt/rh/devtoolset-10/root/usr/share/info/ld.info.gz
2024-05-15T23:37:35.8678428Z install-info: No such file or directory for /opt/rh/devtoolset-10/root/usr/share/info/standards.info.gz
2024-05-15T23:37:35.8679029Z 
2024-05-15T23:37:35.8679426Z   Verifying  : devtoolset-10-runtime-10.1-0.el7.x86_64                      1/2 
2024-05-15T23:37:35.8679900Z 
2024-05-15T23:37:35.8680284Z   Verifying  : devtoolset-10-binutils-2.35-5.el7.4.x86_64                   2/2 
2024-05-15T23:37:35.8680760Z 
2024-05-15T23:37:35.8680870Z Installed:
2024-05-15T23:37:35.8681415Z   devtoolset-10-binutils.x86_64 0:2.35-5.el7.4                                  
2024-05-15T23:37:35.8681881Z 
2024-05-15T23:37:35.8682004Z Dependency Installed:
2024-05-15T23:37:35.8682590Z   devtoolset-10-runtime.x86_64 0:10.1-0.el7                                     
2024-05-15T23:37:35.8683051Z 
2024-05-15T23:37:35.8683166Z Complete!
2024-05-15T23:37:35.8684531Z + 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
2024-05-15T23:37:35.8686882Z + 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
2024-05-15T23:37:35.8688186Z + echo ::endgroup::
2024-05-15T23:37:35.8688803Z ##[endgroup]
2024-05-15T23:37:35.8689227Z + echo '::group::Install required packages'
2024-05-15T23:37:35.8689895Z ##[group]Install required packages
2024-05-15T23:37:35.8690294Z + ./install_requirements.sh cuda
2024-05-15T23:37:35.8691060Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cu121
2024-05-15T23:37:35.8691885Z Collecting torchao (from -r requirements.txt (line 4))
2024-05-15T23:37:35.8692786Z   Downloading https://download.pytorch.org/whl/nightly/torchao-0.1-py3-none-any.whl (54 kB)
2024-05-15T23:37:35.8694416Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/54.3 kB ? eta -:--:--
2024-05-15T23:37:35.8695494Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 54.3/54.3 kB 13.2 MB/s eta 0:00:00
2024-05-15T23:37:35.8696329Z [?25hCollecting huggingface_hub (from -r requirements.txt (line 7))
2024-05-15T23:37:35.8697047Z   Downloading huggingface_hub-0.23.0-py3-none-any.whl (401 kB)
2024-05-15T23:37:35.8697865Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/401.2 kB ? eta -:--:--
2024-05-15T23:37:35.8698793Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 401.2/401.2 kB 11.9 MB/s eta 0:00:00
2024-05-15T23:37:35.8699573Z [?25hCollecting gguf (from -r requirements.txt (line 10))
2024-05-15T23:37:35.8700182Z   Downloading gguf-0.6.0-py3-none-any.whl (23 kB)
2024-05-15T23:37:35.8700785Z Collecting tiktoken (from -r requirements.txt (line 13))
2024-05-15T23:37:35.8701656Z   Downloading tiktoken-0.7.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB)
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2024-05-15T23:37:41.4843042Z [?25hCollecting scikit-learn>=0.24.1 (from lm-eval==0.4->-r requirements.txt (line 20))
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2024-05-15T23:37:41.4850997Z [?25hCollecting sqlitedict (from lm-eval==0.4->-r requirements.txt (line 20))
2024-05-15T23:37:41.4851669Z   Downloading sqlitedict-2.1.0.tar.gz (21 kB)
2024-05-15T23:37:41.4852214Z   Preparing metadata (setup.py) ... [?25l- done
2024-05-15T23:37:41.4852912Z [?25hCollecting torch>=1.8 (from lm-eval==0.4->-r requirements.txt (line 20))
2024-05-15T23:37:41.4853711Z   Downloading torch-2.3.0-cp311-cp311-manylinux1_x86_64.whl (779.2 MB)
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2024-05-15T23:37:42.8393090Z      ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 118.7/779.2 MB 172.9 MB/s eta 0:00:04
2024-05-15T23:37:42.8395222Z      ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 123.7/779.2 MB 156.1 MB/s eta 0:00:05
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2024-05-15T23:37:42.8398590Z      ━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 136.0/779.2 MB 191.7 MB/s eta 0:00:04
2024-05-15T23:37:42.8400315Z      ━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 142.6/779.2 MB 192.0 MB/s eta 0:00:04
2024-05-15T23:37:42.8402059Z      ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 147.8/779.2 MB 171.8 MB/s eta 0:00:04
2024-05-15T23:37:42.8403714Z      ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 154.3/779.2 MB 169.8 MB/s eta 0:00:04
2024-05-15T23:37:42.8405383Z      ━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 160.4/779.2 MB 192.4 MB/s eta 0:00:04
2024-05-15T23:37:42.8407064Z      ━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 167.5/779.2 MB 189.7 MB/s eta 0:00:04
2024-05-15T23:37:42.8408692Z      ━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 172.0/779.2 MB 163.7 MB/s eta 0:00:04
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2024-05-15T23:37:42.8413723Z      ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━ 189.8/779.2 MB 182.7 MB/s eta 0:00:04
2024-05-15T23:37:42.8415420Z      ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━ 191.9/779.2 MB 128.0 MB/s eta 0:00:05
2024-05-15T23:37:42.8417032Z      ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.2/779.2 MB 136.4 MB/s eta 0:00:05
2024-05-15T23:37:42.8418702Z      ━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 204.6/779.2 MB 175.5 MB/s eta 0:00:04
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2024-05-15T23:37:44.1929392Z      ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 308.3/779.2 MB 180.9 MB/s eta 0:00:03
2024-05-15T23:37:44.1930648Z      ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 308.3/779.2 MB 180.9 MB/s eta 0:00:03
2024-05-15T23:37:44.1932025Z      ━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 310.4/779.2 MB 74.6 MB/s eta 0:00:07
2024-05-15T23:37:44.1933102Z      ━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 314.8/779.2 MB 68.6 MB/s eta 0:00:07
2024-05-15T23:37:44.1934175Z      ━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 321.9/779.2 MB 165.6 MB/s eta 0:00:03
2024-05-15T23:37:44.1935265Z      ━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 326.2/779.2 MB 158.7 MB/s eta 0:00:03
2024-05-15T23:37:44.1936331Z      ━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 332.4/779.2 MB 175.5 MB/s eta 0:00:03
2024-05-15T23:37:44.1937406Z      ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 337.6/779.2 MB 165.7 MB/s eta 0:00:03
2024-05-15T23:37:44.1938487Z      ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 342.9/779.2 MB 155.7 MB/s eta 0:00:03
2024-05-15T23:37:44.1939549Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 348.1/779.2 MB 152.6 MB/s eta 0:00:03
2024-05-15T23:37:44.1940610Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 351.3/779.2 MB 138.5 MB/s eta 0:00:04
2024-05-15T23:37:44.1941688Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 356.5/779.2 MB 127.1 MB/s eta 0:00:04
2024-05-15T23:37:44.1942740Z      ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 359.1/779.2 MB 109.5 MB/s eta 0:00:04
2024-05-15T23:37:44.1943806Z      ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 361.7/779.2 MB 105.2 MB/s eta 0:00:04
2024-05-15T23:37:44.1944882Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 365.9/779.2 MB 97.1 MB/s eta 0:00:05
2024-05-15T23:37:44.1945941Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 371.3/779.2 MB 138.6 MB/s eta 0:00:03
2024-05-15T23:37:44.1946998Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 375.5/779.2 MB 141.2 MB/s eta 0:00:03
2024-05-15T23:37:44.1948171Z      ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━ 379.6/779.2 MB 117.2 MB/s eta 0:00:04
2024-05-15T23:37:44.1949396Z      ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━ 385.3/779.2 MB 134.9 MB/s eta 0:00:03
2024-05-15T23:37:44.1950731Z      ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━ 391.1/779.2 MB 172.9 MB/s eta 0:00:03
2024-05-15T23:37:44.1951910Z      ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━ 397.3/779.2 MB 172.1 MB/s eta 0:00:03
2024-05-15T23:37:44.1952975Z      ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 404.8/779.2 MB 209.9 MB/s eta 0:00:02
2024-05-15T23:37:44.1954087Z      ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 410.0/779.2 MB 202.2 MB/s eta 0:00:02
2024-05-15T23:37:44.1955149Z      ━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━ 416.3/779.2 MB 169.9 MB/s eta 0:00:03
2024-05-15T23:37:44.1956191Z      ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━ 423.6/779.2 MB 212.6 MB/s eta 0:00:02
2024-05-15T23:37:44.1957240Z      ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━ 430.7/779.2 MB 210.4 MB/s eta 0:00:02
2024-05-15T23:37:44.1958315Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 434.1/779.2 MB 153.4 MB/s eta 0:00:03
2024-05-15T23:37:44.1959358Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 438.3/779.2 MB 141.2 MB/s eta 0:00:03
2024-05-15T23:37:44.1960473Z      ━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 443.5/779.2 MB 128.4 MB/s eta 0:00:03
2024-05-15T23:37:44.1961523Z      ━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 450.9/779.2 MB 210.7 MB/s eta 0:00:02
2024-05-15T23:37:44.1962586Z      ━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━ 456.9/779.2 MB 184.3 MB/s eta 0:00:02
2024-05-15T23:37:44.1963687Z      ━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━ 462.4/779.2 MB 192.5 MB/s eta 0:00:02
2024-05-15T23:37:44.1964871Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 468.1/779.2 MB 156.9 MB/s eta 0:00:02
2024-05-15T23:37:44.1965943Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 470.8/779.2 MB 122.3 MB/s eta 0:00:03
2024-05-15T23:37:44.1966995Z      ━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━ 476.0/779.2 MB 129.7 MB/s eta 0:00:03
2024-05-15T23:37:44.1968086Z      ━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━ 481.3/779.2 MB 167.6 MB/s eta 0:00:02
2024-05-15T23:37:44.1969279Z      ━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━ 483.4/779.2 MB 122.4 MB/s eta 0:00:03
2024-05-15T23:37:44.1970382Z      ━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 487.6/779.2 MB 110.1 MB/s eta 0:00:03
2024-05-15T23:37:45.5483530Z      ━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 492.8/779.2 MB 140.2 MB/s eta 0:00:03
2024-05-15T23:37:45.5485070Z      ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 499.1/779.2 MB 172.2 MB/s eta 0:00:02
2024-05-15T23:37:45.5486416Z      ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 505.4/779.2 MB 180.5 MB/s eta 0:00:02
2024-05-15T23:37:45.5487527Z      ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 511.7/779.2 MB 186.9 MB/s eta 0:00:02
2024-05-15T23:37:45.5488610Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 516.9/779.2 MB 173.6 MB/s eta 0:00:02
2024-05-15T23:37:45.5489678Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 521.1/779.2 MB 148.5 MB/s eta 0:00:02
2024-05-15T23:37:45.5490751Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 526.0/779.2 MB 133.2 MB/s eta 0:00:02
2024-05-15T23:37:45.5491810Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 531.6/779.2 MB 164.6 MB/s eta 0:00:02
2024-05-15T23:37:45.5492870Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 537.9/779.2 MB 177.1 MB/s eta 0:00:02
2024-05-15T23:37:45.5493924Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 543.2/779.2 MB 178.2 MB/s eta 0:00:02
2024-05-15T23:37:45.5495196Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 548.6/779.2 MB 153.3 MB/s eta 0:00:02
2024-05-15T23:37:45.5496246Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 554.8/779.2 MB 187.2 MB/s eta 0:00:02
2024-05-15T23:37:45.5497434Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 560.0/779.2 MB 161.0 MB/s eta 0:00:02
2024-05-15T23:37:45.5498492Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 565.4/779.2 MB 152.3 MB/s eta 0:00:02
2024-05-15T23:37:45.5499540Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 570.4/779.2 MB 163.9 MB/s eta 0:00:02
2024-05-15T23:37:45.5500594Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 576.2/779.2 MB 153.3 MB/s eta 0:00:02
2024-05-15T23:37:45.5501666Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 580.1/779.2 MB 132.0 MB/s eta 0:00:02
2024-05-15T23:37:45.5502714Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 584.1/779.2 MB 120.3 MB/s eta 0:00:02
2024-05-15T23:37:45.5503778Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 590.2/779.2 MB 145.9 MB/s eta 0:00:02
2024-05-15T23:37:45.5504831Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 596.6/779.2 MB 186.6 MB/s eta 0:00:01
2024-05-15T23:37:45.5505881Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 602.9/779.2 MB 194.7 MB/s eta 0:00:01
2024-05-15T23:37:45.5506931Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 610.0/779.2 MB 191.5 MB/s eta 0:00:01
2024-05-15T23:37:45.5507983Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━ 616.6/779.2 MB 220.7 MB/s eta 0:00:01
2024-05-15T23:37:45.5509126Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━ 620.7/779.2 MB 195.5 MB/s eta 0:00:01
2024-05-15T23:37:45.5510358Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 627.7/779.2 MB 155.1 MB/s eta 0:00:01
2024-05-15T23:37:45.5511428Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 633.3/779.2 MB 182.2 MB/s eta 0:00:01
2024-05-15T23:37:45.5512478Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 640.7/779.2 MB 194.1 MB/s eta 0:00:01
2024-05-15T23:37:45.5513521Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 647.2/779.2 MB 197.7 MB/s eta 0:00:01
2024-05-15T23:37:45.5514718Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 653.9/779.2 MB 192.1 MB/s eta 0:00:01
2024-05-15T23:37:45.5515765Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 659.5/779.2 MB 185.3 MB/s eta 0:00:01
2024-05-15T23:37:45.5516816Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 663.8/779.2 MB 145.2 MB/s eta 0:00:01
2024-05-15T23:37:45.5517970Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 670.0/779.2 MB 192.2 MB/s eta 0:00:01
2024-05-15T23:37:45.5519019Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 674.8/779.2 MB 155.4 MB/s eta 0:00:01
2024-05-15T23:37:45.5520064Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 681.1/779.2 MB 155.6 MB/s eta 0:00:01
2024-05-15T23:37:45.5521133Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 686.7/779.2 MB 172.3 MB/s eta 0:00:01
2024-05-15T23:37:45.5522176Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 690.5/779.2 MB 132.7 MB/s eta 0:00:01
2024-05-15T23:37:45.5523222Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 697.3/779.2 MB 165.6 MB/s eta 0:00:01
2024-05-15T23:37:45.5524333Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 704.0/779.2 MB 187.3 MB/s eta 0:00:01
2024-05-15T23:37:45.5525372Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 709.9/779.2 MB 185.6 MB/s eta 0:00:01
2024-05-15T23:37:47.1737928Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 716.2/779.2 MB 190.7 MB/s eta 0:00:01
2024-05-15T23:37:47.1739509Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 720.4/779.2 MB 164.6 MB/s eta 0:00:01
2024-05-15T23:37:47.1740782Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 726.4/779.2 MB 150.6 MB/s eta 0:00:01
2024-05-15T23:37:47.1741840Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 731.9/779.2 MB 168.9 MB/s eta 0:00:01
2024-05-15T23:37:47.1742929Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 737.7/779.2 MB 159.9 MB/s eta 0:00:01
2024-05-15T23:37:47.1743978Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 743.7/779.2 MB 172.1 MB/s eta 0:00:01
2024-05-15T23:37:47.1745019Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 749.7/779.2 MB 175.6 MB/s eta 0:00:01
2024-05-15T23:37:47.1746290Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 756.0/779.2 MB 186.7 MB/s eta 0:00:01
2024-05-15T23:37:47.1747308Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 761.7/779.2 MB 182.7 MB/s eta 0:00:01
2024-05-15T23:37:47.1748296Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 768.7/779.2 MB 180.7 MB/s eta 0:00:01
2024-05-15T23:37:47.1749504Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 774.7/779.2 MB 186.5 MB/s eta 0:00:01
2024-05-15T23:37:47.1750706Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1751818Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1752893Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1753880Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1754841Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1755816Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1756802Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1757767Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1758724Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1759719Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1760697Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1761670Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1762745Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1763730Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1764750Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1765713Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1766768Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1767752Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1768750Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1769715Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1770681Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1771652Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1772640Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1773604Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1774587Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1775586Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1776566Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1777536Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:47.1778510Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5918319Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5919802Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5921322Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5922386Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5923364Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5924347Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5925365Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5926344Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5927325Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5928337Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5929321Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5930300Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5931285Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5932271Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5933258Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5934248Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5935217Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5936201Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5937180Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5938265Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5939250Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5940242Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
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2024-05-15T23:37:48.5944244Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
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2024-05-15T23:37:48.5946307Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5947308Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5948290Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5949381Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5950506Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5951512Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5952485Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5953454Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5954429Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5955403Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5956379Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5957448Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:48.5958406Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
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2024-05-15T23:37:50.0104842Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
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2024-05-15T23:37:50.0107491Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:50.0108616Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:50.0109741Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
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2024-05-15T23:37:50.0120928Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:50.0121897Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:50.0122975Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:50.0123942Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:50.0124984Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:50.0125979Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:50.0126955Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
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2024-05-15T23:37:50.0129951Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
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2024-05-15T23:37:50.0131940Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
2024-05-15T23:37:50.0132919Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
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2024-05-15T23:37:50.0136958Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
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2024-05-15T23:37:51.4265551Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 177.0 MB/s eta 0:00:01
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2024-05-15T23:38:00.7103284Z      ━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 79.6/731.7 MB 272.0 MB/s eta 0:00:03
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2024-05-15T23:38:00.7106488Z      ━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 97.8/731.7 MB 253.2 MB/s eta 0:00:03
2024-05-15T23:38:00.7107626Z      ━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 105.7/731.7 MB 237.3 MB/s eta 0:00:03
2024-05-15T23:38:00.7108802Z      ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 115.4/731.7 MB 280.9 MB/s eta 0:00:03
2024-05-15T23:38:00.7110306Z      ━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 123.3/731.7 MB 240.9 MB/s eta 0:00:03
2024-05-15T23:38:00.7111582Z      ━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 132.6/731.7 MB 264.9 MB/s eta 0:00:03
2024-05-15T23:38:00.7112711Z      ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 138.8/731.7 MB 220.9 MB/s eta 0:00:03
2024-05-15T23:38:00.7113784Z      ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 143.3/731.7 MB 153.4 MB/s eta 0:00:04
2024-05-15T23:38:00.7114889Z      ━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 152.2/731.7 MB 250.4 MB/s eta 0:00:03
2024-05-15T23:38:00.7116111Z      ━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 161.6/731.7 MB 270.9 MB/s eta 0:00:03
2024-05-15T23:38:00.7117173Z      ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 170.9/731.7 MB 264.7 MB/s eta 0:00:03
2024-05-15T23:38:00.7118265Z      ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━ 180.2/731.7 MB 268.1 MB/s eta 0:00:03
2024-05-15T23:38:00.7119329Z      ━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 189.8/731.7 MB 272.2 MB/s eta 0:00:02
2024-05-15T23:38:00.7120404Z      ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.7/731.7 MB 286.6 MB/s eta 0:00:02
2024-05-15T23:38:00.7121551Z      ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━ 209.6/731.7 MB 282.8 MB/s eta 0:00:02
2024-05-15T23:38:00.7122935Z      ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━ 219.6/731.7 MB 284.5 MB/s eta 0:00:02
2024-05-15T23:38:00.7124006Z      ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━ 229.6/731.7 MB 287.1 MB/s eta 0:00:02
2024-05-15T23:38:00.7125060Z      ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━ 239.7/731.7 MB 289.6 MB/s eta 0:00:02
2024-05-15T23:38:00.7126215Z      ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━ 249.7/731.7 MB 288.1 MB/s eta 0:00:02
2024-05-15T23:38:00.7127279Z      ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━ 259.8/731.7 MB 289.0 MB/s eta 0:00:02
2024-05-15T23:38:00.7128372Z      ━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 267.9/731.7 MB 251.0 MB/s eta 0:00:02
2024-05-15T23:38:00.7129572Z      ━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 271.2/731.7 MB 159.4 MB/s eta 0:00:03
2024-05-15T23:38:00.7130667Z      ━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 275.9/731.7 MB 122.0 MB/s eta 0:00:04
2024-05-15T23:38:00.7131916Z      ━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 285.7/731.7 MB 281.4 MB/s eta 0:00:02
2024-05-15T23:38:00.7133072Z      ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 295.7/731.7 MB 288.0 MB/s eta 0:00:02
2024-05-15T23:38:00.7134222Z      ━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 305.8/731.7 MB 290.6 MB/s eta 0:00:02
2024-05-15T23:38:00.7135285Z      ━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 316.0/731.7 MB 292.2 MB/s eta 0:00:02
2024-05-15T23:38:00.7136409Z      ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 326.1/731.7 MB 291.0 MB/s eta 0:00:02
2024-05-15T23:38:00.7137509Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 336.1/731.7 MB 289.9 MB/s eta 0:00:02
2024-05-15T23:38:00.7138597Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 346.2/731.7 MB 288.7 MB/s eta 0:00:02
2024-05-15T23:38:00.7139672Z      ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━ 356.3/731.7 MB 288.1 MB/s eta 0:00:02
2024-05-15T23:38:00.7140726Z      ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━ 366.4/731.7 MB 290.0 MB/s eta 0:00:02
2024-05-15T23:38:00.7141856Z      ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 376.5/731.7 MB 290.6 MB/s eta 0:00:02
2024-05-15T23:38:00.7142923Z      ━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━ 386.5/731.7 MB 290.0 MB/s eta 0:00:02
2024-05-15T23:38:00.7144018Z      ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━ 396.6/731.7 MB 290.7 MB/s eta 0:00:02
2024-05-15T23:38:00.7145104Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 406.6/731.7 MB 298.7 MB/s eta 0:00:02
2024-05-15T23:38:00.7146210Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 412.9/731.7 MB 212.3 MB/s eta 0:00:02
2024-05-15T23:38:02.2884949Z      ━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 422.7/731.7 MB 281.4 MB/s eta 0:00:02
2024-05-15T23:38:02.2886528Z      ━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━ 432.8/731.7 MB 288.7 MB/s eta 0:00:02
2024-05-15T23:38:02.2888250Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 442.8/731.7 MB 288.4 MB/s eta 0:00:02
2024-05-15T23:38:02.2889310Z      ━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━ 452.8/731.7 MB 289.7 MB/s eta 0:00:01
2024-05-15T23:38:02.2890380Z      ━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 462.9/731.7 MB 286.3 MB/s eta 0:00:01
2024-05-15T23:38:02.2891555Z      ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 473.0/731.7 MB 290.6 MB/s eta 0:00:01
2024-05-15T23:38:02.2892620Z      ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 483.0/731.7 MB 289.2 MB/s eta 0:00:01
2024-05-15T23:38:02.2893671Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 493.1/731.7 MB 289.4 MB/s eta 0:00:01
2024-05-15T23:38:02.2894745Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 503.2/731.7 MB 286.2 MB/s eta 0:00:01
2024-05-15T23:38:02.2895795Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 513.2/731.7 MB 287.6 MB/s eta 0:00:01
2024-05-15T23:38:02.2896845Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 523.2/731.7 MB 287.7 MB/s eta 0:00:01
2024-05-15T23:38:02.2897963Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 533.3/731.7 MB 289.8 MB/s eta 0:00:01
2024-05-15T23:38:02.2899015Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 543.3/731.7 MB 287.5 MB/s eta 0:00:01
2024-05-15T23:38:02.2900070Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 553.3/731.7 MB 288.2 MB/s eta 0:00:01
2024-05-15T23:38:02.2901112Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 563.4/731.7 MB 290.6 MB/s eta 0:00:01
2024-05-15T23:38:02.2902170Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 573.5/731.7 MB 290.9 MB/s eta 0:00:01
2024-05-15T23:38:02.2903215Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 583.5/731.7 MB 288.3 MB/s eta 0:00:01
2024-05-15T23:38:02.2904277Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 593.6/731.7 MB 287.6 MB/s eta 0:00:01
2024-05-15T23:38:02.2905325Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 603.6/731.7 MB 289.4 MB/s eta 0:00:01
2024-05-15T23:38:02.2906375Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 613.7/731.7 MB 289.4 MB/s eta 0:00:01
2024-05-15T23:38:02.2907422Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 623.7/731.7 MB 290.1 MB/s eta 0:00:01
2024-05-15T23:38:02.2908550Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 633.7/731.7 MB 288.9 MB/s eta 0:00:01
2024-05-15T23:38:02.2909752Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 643.9/731.7 MB 292.6 MB/s eta 0:00:01
2024-05-15T23:38:02.2911222Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 653.9/731.7 MB 289.5 MB/s eta 0:00:01
2024-05-15T23:38:02.2912283Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 663.5/731.7 MB 278.2 MB/s eta 0:00:01
2024-05-15T23:38:02.2913329Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 673.2/731.7 MB 279.7 MB/s eta 0:00:01
2024-05-15T23:38:02.2914367Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 683.3/731.7 MB 290.4 MB/s eta 0:00:01
2024-05-15T23:38:02.2915426Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 693.5/731.7 MB 307.0 MB/s eta 0:00:01
2024-05-15T23:38:02.2916470Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 701.8/731.7 MB 252.3 MB/s eta 0:00:01
2024-05-15T23:38:02.2917532Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 710.8/731.7 MB 250.2 MB/s eta 0:00:01
2024-05-15T23:38:02.2918553Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 719.8/731.7 MB 253.5 MB/s eta 0:00:01
2024-05-15T23:38:02.2919538Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 729.8/731.7 MB 289.1 MB/s eta 0:00:01
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2024-05-15T23:38:08.4371269Z [?25hCollecting nvidia-cublas-cu12==12.1.3.1 (from torch>=1.8->lm-eval==0.4->-r requirements.txt (line 20))
2024-05-15T23:38:08.4372589Z   Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)
2024-05-15T23:38:08.4373792Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/410.6 MB ? eta -:--:--
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2024-05-15T23:38:09.7933946Z      ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━ 102.4/410.6 MB 268.2 MB/s eta 0:00:02
2024-05-15T23:38:09.7935015Z      ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 112.0/410.6 MB 275.5 MB/s eta 0:00:02
2024-05-15T23:38:09.7936069Z      ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━ 121.5/410.6 MB 276.0 MB/s eta 0:00:02
2024-05-15T23:38:09.7937232Z      ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━ 131.2/410.6 MB 275.9 MB/s eta 0:00:02
2024-05-15T23:38:09.7938302Z      ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━ 141.1/410.6 MB 284.8 MB/s eta 0:00:01
2024-05-15T23:38:09.7939351Z      ━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 151.0/410.6 MB 281.9 MB/s eta 0:00:01
2024-05-15T23:38:09.7940430Z      ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 160.9/410.6 MB 287.7 MB/s eta 0:00:01
2024-05-15T23:38:09.7941489Z      ━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 170.6/410.6 MB 279.7 MB/s eta 0:00:01
2024-05-15T23:38:09.7942547Z      ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 179.2/410.6 MB 253.0 MB/s eta 0:00:01
2024-05-15T23:38:09.7943623Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 188.0/410.6 MB 240.3 MB/s eta 0:00:01
2024-05-15T23:38:09.7944678Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 197.4/410.6 MB 268.2 MB/s eta 0:00:01
2024-05-15T23:38:09.7945742Z      ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━ 207.2/410.6 MB 284.1 MB/s eta 0:00:01
2024-05-15T23:38:09.7946807Z      ━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━ 217.1/410.6 MB 284.6 MB/s eta 0:00:01
2024-05-15T23:38:09.7947856Z      ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━ 226.6/410.6 MB 274.7 MB/s eta 0:00:01
2024-05-15T23:38:09.7948903Z      ━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 236.5/410.6 MB 283.7 MB/s eta 0:00:01
2024-05-15T23:38:09.7950388Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 246.4/410.6 MB 282.9 MB/s eta 0:00:01
2024-05-15T23:38:09.7951622Z      ━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 256.2/410.6 MB 281.8 MB/s eta 0:00:01
2024-05-15T23:38:09.7952676Z      ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 266.0/410.6 MB 284.3 MB/s eta 0:00:01
2024-05-15T23:38:09.7953871Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 273.6/410.6 MB 232.0 MB/s eta 0:00:01
2024-05-15T23:38:09.7954922Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 279.7/410.6 MB 181.6 MB/s eta 0:00:01
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2024-05-15T23:38:09.7957138Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 293.5/410.6 MB 206.1 MB/s eta 0:00:01
2024-05-15T23:38:09.7958187Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 293.9/410.6 MB 123.5 MB/s eta 0:00:01
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2024-05-15T23:38:09.7960298Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 294.8/410.6 MB 68.6 MB/s eta 0:00:02
2024-05-15T23:38:09.7961341Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 295.2/410.6 MB 56.0 MB/s eta 0:00:03
2024-05-15T23:38:09.7962393Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 295.6/410.6 MB 47.7 MB/s eta 0:00:03
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2024-05-15T23:38:09.7964497Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 310.8/410.6 MB 278.3 MB/s eta 0:00:01
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2024-05-15T23:38:11.2970678Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 330.5/410.6 MB 283.7 MB/s eta 0:00:01
2024-05-15T23:38:11.2971871Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 339.5/410.6 MB 267.5 MB/s eta 0:00:01
2024-05-15T23:38:11.2972957Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 346.1/410.6 MB 208.8 MB/s eta 0:00:01
2024-05-15T23:38:11.2974338Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 354.3/410.6 MB 238.8 MB/s eta 0:00:01
2024-05-15T23:38:11.2975409Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 363.4/410.6 MB 262.5 MB/s eta 0:00:01
2024-05-15T23:38:11.2976480Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 373.4/410.6 MB 289.7 MB/s eta 0:00:01
2024-05-15T23:38:11.2977541Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 383.5/410.6 MB 285.0 MB/s eta 0:00:01
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2024-05-15T23:38:14.4054481Z [?25hCollecting nvidia-cufft-cu12==11.0.2.54 (from torch>=1.8->lm-eval==0.4->-r requirements.txt (line 20))
2024-05-15T23:38:14.4055814Z   Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)
2024-05-15T23:38:14.4056993Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/121.6 MB ? eta -:--:--
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2024-05-15T23:38:15.8945433Z [?25hCollecting nvidia-curand-cu12==10.3.2.106 (from torch>=1.8->lm-eval==0.4->-r requirements.txt (line 20))
2024-05-15T23:38:15.8946772Z   Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)
2024-05-15T23:38:15.8947960Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/56.5 MB ? eta -:--:--
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2024-05-15T23:38:15.8968955Z [?25hCollecting nvidia-cusolver-cu12==11.4.5.107 (from torch>=1.8->lm-eval==0.4->-r requirements.txt (line 20))
2024-05-15T23:38:15.8970410Z   Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)
2024-05-15T23:38:15.8971586Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/124.2 MB ? eta -:--:--
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2024-05-15T23:38:15.8975858Z      ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 35.2/124.2 MB 255.9 MB/s eta 0:00:01
2024-05-15T23:38:15.8976944Z      ━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━ 44.4/124.2 MB 260.6 MB/s eta 0:00:01
2024-05-15T23:38:15.8978013Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 54.7/124.2 MB 292.8 MB/s eta 0:00:01
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2024-05-15T23:38:17.3684849Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 124.2/124.2 MB 284.9 MB/s eta 0:00:01
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2024-05-15T23:38:17.3704501Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 124.2/124.2 MB 11.8 MB/s eta 0:00:00
2024-05-15T23:38:17.3705569Z [?25hCollecting nvidia-cusparse-cu12==12.1.0.106 (from torch>=1.8->lm-eval==0.4->-r requirements.txt (line 20))
2024-05-15T23:38:17.3706933Z   Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)
2024-05-15T23:38:17.3708159Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/196.0 MB ? eta -:--:--
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2024-05-15T23:38:17.3717674Z      ━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━ 73.0/196.0 MB 239.8 MB/s eta 0:00:01
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2024-05-15T23:38:17.3720022Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 92.2/196.0 MB 269.8 MB/s eta 0:00:01
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2024-05-15T23:38:17.3723359Z      ━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━ 121.4/196.0 MB 283.2 MB/s eta 0:00:01
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2024-05-15T23:38:18.7962141Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 141.3/196.0 MB 288.0 MB/s eta 0:00:01
2024-05-15T23:38:18.7963770Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 151.2/196.0 MB 286.4 MB/s eta 0:00:01
2024-05-15T23:38:18.7964861Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 161.3/196.0 MB 286.4 MB/s eta 0:00:01
2024-05-15T23:38:18.7965965Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 171.3/196.0 MB 288.9 MB/s eta 0:00:01
2024-05-15T23:38:18.7967026Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 181.0/196.0 MB 279.1 MB/s eta 0:00:01
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2024-05-15T23:38:20.3316772Z [?25hCollecting nvidia-nccl-cu12==2.20.5 (from torch>=1.8->lm-eval==0.4->-r requirements.txt (line 20))
2024-05-15T23:38:20.3318052Z   Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl (176.2 MB)
2024-05-15T23:38:20.3319243Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/176.2 MB ? eta -:--:--
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2024-05-15T23:38:20.3323482Z      ━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 36.2/176.2 MB 267.3 MB/s eta 0:00:01
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2024-05-15T23:38:20.3325761Z      ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━ 55.9/176.2 MB 284.7 MB/s eta 0:00:01
2024-05-15T23:38:20.3326912Z      ━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━ 65.9/176.2 MB 287.6 MB/s eta 0:00:01
2024-05-15T23:38:20.3327980Z      ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 76.0/176.2 MB 288.0 MB/s eta 0:00:01
2024-05-15T23:38:20.3329038Z      ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 85.9/176.2 MB 286.6 MB/s eta 0:00:01
2024-05-15T23:38:20.3330093Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━ 95.9/176.2 MB 284.9 MB/s eta 0:00:01
2024-05-15T23:38:20.3331182Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 106.0/176.2 MB 289.7 MB/s eta 0:00:01
2024-05-15T23:38:20.3332241Z      ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 116.2/176.2 MB 291.7 MB/s eta 0:00:01
2024-05-15T23:38:20.3333323Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 125.9/176.2 MB 280.6 MB/s eta 0:00:01
2024-05-15T23:38:20.3334370Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 135.5/176.2 MB 277.7 MB/s eta 0:00:01
2024-05-15T23:38:20.3335430Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 145.2/176.2 MB 277.4 MB/s eta 0:00:01
2024-05-15T23:38:20.3336485Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 154.9/176.2 MB 278.2 MB/s eta 0:00:01
2024-05-15T23:38:20.3337558Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 164.5/176.2 MB 276.6 MB/s eta 0:00:01
2024-05-15T23:38:20.3338579Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 174.1/176.2 MB 277.6 MB/s eta 0:00:01
2024-05-15T23:38:20.3339578Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:20.3340593Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7454606Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7456075Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7457697Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7458692Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7459672Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7460783Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7461757Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7462739Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7463727Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7464729Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7465699Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7466684Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7467674Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7468644Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7469717Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7470945Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7471931Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7472903Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7473944Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7474921Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7475904Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7476872Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7477901Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7478886Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7479880Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7480845Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7481816Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7482800Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7483787Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7484753Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7485720Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7486709Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7487677Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7488636Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7489607Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7490654Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7491629Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7492657Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7493731Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7494749Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:21.7495873Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
2024-05-15T23:38:23.2695801Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 287.0 MB/s eta 0:00:01
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2024-05-15T23:38:23.2700484Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 176.2/176.2 MB 6.0 MB/s eta 0:00:00
2024-05-15T23:38:23.2701504Z [?25hCollecting nvidia-nvtx-cu12==12.1.105 (from torch>=1.8->lm-eval==0.4->-r requirements.txt (line 20))
2024-05-15T23:38:23.2702774Z   Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)
2024-05-15T23:38:23.2703953Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/99.1 kB ? eta -:--:--
2024-05-15T23:38:23.2704873Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 99.1/99.1 kB 3.9 MB/s eta 0:00:00
2024-05-15T23:38:23.2705807Z [?25hCollecting triton==2.3.0 (from torch>=1.8->lm-eval==0.4->-r requirements.txt (line 20))
2024-05-15T23:38:23.2706844Z   Downloading triton-2.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (168.1 MB)
2024-05-15T23:38:23.2707842Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/168.1 MB ? eta -:--:--
2024-05-15T23:38:23.2708846Z      ━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/168.1 MB 190.3 MB/s eta 0:00:01
2024-05-15T23:38:23.2710288Z      ━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.5/168.1 MB 186.1 MB/s eta 0:00:01
2024-05-15T23:38:23.2711717Z      ━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 17.0/168.1 MB 153.7 MB/s eta 0:00:01
2024-05-15T23:38:23.2712850Z      ━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 24.1/168.1 MB 207.2 MB/s eta 0:00:01
2024-05-15T23:38:23.2714032Z      ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 31.1/168.1 MB 206.8 MB/s eta 0:00:01
2024-05-15T23:38:23.2715122Z      ━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 36.7/168.1 MB 177.8 MB/s eta 0:00:01
2024-05-15T23:38:23.2716183Z      ━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 42.5/168.1 MB 159.4 MB/s eta 0:00:01
2024-05-15T23:38:23.2717254Z      ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 49.7/168.1 MB 204.7 MB/s eta 0:00:01
2024-05-15T23:38:23.2718342Z      ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━ 56.6/168.1 MB 210.8 MB/s eta 0:00:01
2024-05-15T23:38:23.2719405Z      ━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━ 63.9/168.1 MB 209.0 MB/s eta 0:00:01
2024-05-15T23:38:23.2720503Z      ━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 69.2/168.1 MB 175.2 MB/s eta 0:00:01
2024-05-15T23:38:23.2721580Z      ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 72.1/168.1 MB 134.4 MB/s eta 0:00:01
2024-05-15T23:38:23.2722643Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 77.6/168.1 MB 131.3 MB/s eta 0:00:01
2024-05-15T23:38:23.2723697Z      ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 83.9/168.1 MB 172.7 MB/s eta 0:00:01
2024-05-15T23:38:23.2724776Z      ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 90.2/168.1 MB 189.0 MB/s eta 0:00:01
2024-05-15T23:38:23.2725840Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 97.5/168.1 MB 221.6 MB/s eta 0:00:01
2024-05-15T23:38:23.2726923Z      ━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━ 103.8/168.1 MB 194.9 MB/s eta 0:00:01
2024-05-15T23:38:23.2727980Z      ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 109.9/168.1 MB 180.5 MB/s eta 0:00:01
2024-05-15T23:38:23.2729042Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 116.5/168.1 MB 189.8 MB/s eta 0:00:01
2024-05-15T23:38:23.2730105Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 122.7/168.1 MB 184.1 MB/s eta 0:00:01
2024-05-15T23:38:23.2731235Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 124.8/168.1 MB 192.2 MB/s eta 0:00:01
2024-05-15T23:38:23.2732291Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 130.3/168.1 MB 120.5 MB/s eta 0:00:01
2024-05-15T23:38:23.2733345Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 136.3/168.1 MB 183.3 MB/s eta 0:00:01
2024-05-15T23:38:23.2734470Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 143.2/168.1 MB 181.4 MB/s eta 0:00:01
2024-05-15T23:38:23.2735532Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 146.8/168.1 MB 173.0 MB/s eta 0:00:01
2024-05-15T23:38:23.2736587Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 152.2/168.1 MB 134.6 MB/s eta 0:00:01
2024-05-15T23:38:23.2737658Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 158.3/168.1 MB 186.5 MB/s eta 0:00:01
2024-05-15T23:38:23.2738700Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 164.4/168.1 MB 175.8 MB/s eta 0:00:01
2024-05-15T23:38:23.2739705Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6877972Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6879437Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6880805Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6882361Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6883397Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6884364Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6885539Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6886519Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6887484Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6888466Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6889535Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6890497Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6891466Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6892474Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6893507Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6894478Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6895451Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6896420Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6897386Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6898367Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6899344Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6900319Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6901290Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6902313Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6903279Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6904247Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6905262Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6906221Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6907194Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6908179Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6909139Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6910384Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6911368Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6912327Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6913290Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6914242Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6915230Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6916193Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
2024-05-15T23:38:24.6917167Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 168.1/168.1 MB 180.3 MB/s eta 0:00:01
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2024-05-15T23:39:34.5191833Z [?25hBuilding wheels for collected packages: lm-eval, rouge-score, sqlitedict
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2024-05-15T23:39:34.5194554Z [?25h  Created wheel for lm-eval: filename=lm_eval-0.4.0-py3-none-any.whl size=994997 sha256=193521c84049f656b8b1f0e0a8b518bbccee8a47acc7bdf2fda778b4e22af343
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2024-05-15T23:39:34.5199918Z   Stored in directory: /root/.cache/pip/wheels/1e/19/43/8a442dc83660ca25e163e1bd1f89919284ab0d0c1475475148
2024-05-15T23:39:34.5200877Z   Building wheel for sqlitedict (setup.py) ... [?25l- done
2024-05-15T23:39:34.5202138Z [?25h  Created wheel for sqlitedict: filename=sqlitedict-2.1.0-py3-none-any.whl size=16864 sha256=13869b0af8b41604fe9050f9a1e5dc6e486e84d05b39f75ea945276aca6b8ccd
2024-05-15T23:39:34.5203870Z   Stored in directory: /root/.cache/pip/wheels/73/63/89/7210274f9b7fb033b8f22671f64c0e0b55083d30c3c046a3ff
2024-05-15T23:39:34.5204854Z Successfully built lm-eval rouge-score sqlitedict
2024-05-15T23:39:34.5210663Z Installing collected packages: zstd, sqlitedict, sentencepiece, ninja, mpmath, xxhash, Werkzeug, tzdata, typing-extensions, triton, tornado, threadpoolctl, tcolorpy, tabulate, sympy, safetensors, regex, pycryptodomex, pybind11, pyarrow-hotfix, portalocker, 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, multidict, mbstrdecoder, lxml, jsonlines, joblib, itsdangerous, fsspec, frozenlist, dill, colorama, cmake, blinker, absl-py, yarl, typepy, tqdm-multiprocess, tiktoken, snakeviz, scipy, sacrebleu, pyarrow, pandas, nvidia-cusparse-cu12, nvidia-cudnn-cu12, numexpr, nltk, multiprocess, huggingface_hub, gguf, flask, blobfile, aiosignal, tokenizers, scikit-learn, rouge-score, nvidia-cusolver-cu12, aiohttp, transformers, torch, DataProperty, torchao, tabledata, datasets, accelerate, pytablewriter, peft, evaluate, lm-eval
2024-05-15T23:39:34.5215605Z   Attempting uninstall: cmake
2024-05-15T23:39:34.5216027Z     Found existing installation: cmake 3.18.2
2024-05-15T23:39:34.5216521Z     Uninstalling cmake-3.18.2:
2024-05-15T23:39:34.5216966Z       Successfully uninstalled cmake-3.18.2
2024-05-15T23:39:34.5225358Z Successfully installed DataProperty-1.0.1 Werkzeug-3.0.3 absl-py-2.1.0 accelerate-0.30.1 aiohttp-3.9.5 aiosignal-1.3.1 blinker-1.8.2 blobfile-2.1.1 cmake-3.29.3 colorama-0.4.6 datasets-2.19.1 dill-0.3.8 evaluate-0.4.2 flask-3.0.3 frozenlist-1.4.1 fsspec-2024.3.1 gguf-0.6.0 huggingface_hub-0.23.0 itsdangerous-2.2.0 joblib-1.4.2 jsonlines-4.0.0 lm-eval-0.4.0 lxml-4.9.4 mbstrdecoder-1.1.3 mpmath-1.3.0 multidict-6.0.5 multiprocess-0.70.16 networkx-3.3 ninja-1.11.1.1 nltk-3.8.1 numexpr-2.10.0 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-cu12-8.9.2.26 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-cu12-12.4.127 nvidia-nvtx-cu12-12.1.105 pandas-2.2.2 pathvalidate-3.2.0 peft-0.10.0 portalocker-2.8.2 pyarrow-16.1.0 pyarrow-hotfix-0.6 pybind11-2.12.0 pycryptodomex-3.20.0 pytablewriter-1.2.0 regex-2024.5.15 rouge-score-0.1.2 sacrebleu-2.4.2 safetensors-0.4.3 scikit-learn-1.4.2 scipy-1.13.0 sentencepiece-0.2.0 snakeviz-2.2.0 sqlitedict-2.1.0 sympy-1.12 tabledata-1.3.3 tabulate-0.9.0 tcolorpy-0.1.6 threadpoolctl-3.5.0 tiktoken-0.7.0 tokenizers-0.19.1 torch-2.3.0 torchao-0.1 tornado-6.4 tqdm-multiprocess-0.0.11 transformers-4.40.2 triton-2.3.0 typepy-1.3.2 typing-extensions-4.11.0 tzdata-2024.1 xxhash-3.4.1 yarl-1.9.4 zstd-1.5.5.1
2024-05-15T23:39:34.5234501Z 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
2024-05-15T23:39:34.5235954Z Found existing installation: triton 2.3.0
2024-05-15T23:39:34.5236435Z Uninstalling triton-2.3.0:
2024-05-15T23:39:34.5236858Z   Successfully uninstalled triton-2.3.0
2024-05-15T23:39:34.5238358Z 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
2024-05-15T23:39:34.5240107Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cu121
2024-05-15T23:39:34.5240811Z Collecting torch==2.4.0.dev20240507
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2024-05-15T23:39:34.5243037Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/796.1 MB ? eta -:--:--
2024-05-15T23:39:34.5243980Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.2/796.1 MB 277.2 MB/s eta 0:00:03
2024-05-15T23:39:34.5244984Z      ╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 15.8/796.1 MB 212.4 MB/s eta 0:00:04
2024-05-15T23:39:34.5246056Z      ━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 24.4/796.1 MB 221.0 MB/s eta 0:00:04
2024-05-15T23:39:34.5247272Z      ━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 33.9/796.1 MB 271.9 MB/s eta 0:00:03
2024-05-15T23:39:34.5248357Z      ━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 43.3/796.1 MB 270.5 MB/s eta 0:00:03
2024-05-15T23:39:34.5249461Z      ━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 52.3/796.1 MB 260.3 MB/s eta 0:00:03
2024-05-15T23:39:34.5250618Z      ━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 59.2/796.1 MB 210.2 MB/s eta 0:00:04
2024-05-15T23:39:34.5251702Z      ━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 68.2/796.1 MB 255.1 MB/s eta 0:00:03
2024-05-15T23:39:34.5252786Z      ━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 77.9/796.1 MB 282.0 MB/s eta 0:00:03
2024-05-15T23:39:34.5253892Z      ━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 86.7/796.1 MB 258.2 MB/s eta 0:00:03
2024-05-15T23:39:34.5254961Z      ━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 95.2/796.1 MB 229.3 MB/s eta 0:00:04
2024-05-15T23:39:34.5256031Z      ━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 103.8/796.1 MB 244.6 MB/s eta 0:00:03
2024-05-15T23:39:34.5257121Z      ━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 112.1/796.1 MB 243.7 MB/s eta 0:00:03
2024-05-15T23:39:34.5258196Z      ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 120.8/796.1 MB 249.6 MB/s eta 0:00:03
2024-05-15T23:39:35.8740045Z      ━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 130.1/796.1 MB 268.6 MB/s eta 0:00:03
2024-05-15T23:39:35.8741702Z      ━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.0/796.1 MB 257.2 MB/s eta 0:00:03
2024-05-15T23:39:35.8742971Z      ━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 148.2/796.1 MB 267.1 MB/s eta 0:00:03
2024-05-15T23:39:35.8744136Z      ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 157.9/796.1 MB 279.5 MB/s eta 0:00:03
2024-05-15T23:39:35.8745375Z      ━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 167.4/796.1 MB 276.9 MB/s eta 0:00:03
2024-05-15T23:39:35.8746528Z      ━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 174.7/796.1 MB 239.1 MB/s eta 0:00:03
2024-05-15T23:39:35.8747688Z      ━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 177.4/796.1 MB 144.8 MB/s eta 0:00:05
2024-05-15T23:39:35.8749137Z      ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 184.7/796.1 MB 143.4 MB/s eta 0:00:05
2024-05-15T23:39:35.8750833Z      ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 193.4/796.1 MB 221.3 MB/s eta 0:00:03
2024-05-15T23:39:35.8751978Z      ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━ 202.4/796.1 MB 258.4 MB/s eta 0:00:03
2024-05-15T23:39:35.8753325Z      ━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 211.6/796.1 MB 261.5 MB/s eta 0:00:03
2024-05-15T23:39:35.8754490Z      ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 220.3/796.1 MB 253.1 MB/s eta 0:00:03
2024-05-15T23:39:35.8755650Z      ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━ 226.9/796.1 MB 217.6 MB/s eta 0:00:03
2024-05-15T23:39:35.8756852Z      ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━ 232.3/796.1 MB 165.2 MB/s eta 0:00:04
2024-05-15T23:39:35.8757997Z      ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━ 236.2/796.1 MB 128.3 MB/s eta 0:00:05
2024-05-15T23:39:35.8759188Z      ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━ 244.6/796.1 MB 215.8 MB/s eta 0:00:03
2024-05-15T23:39:35.8760354Z      ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━ 253.9/796.1 MB 271.3 MB/s eta 0:00:02
2024-05-15T23:39:35.8761484Z      ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━ 262.9/796.1 MB 261.4 MB/s eta 0:00:03
2024-05-15T23:39:35.8762677Z      ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━ 268.4/796.1 MB 208.3 MB/s eta 0:00:03
2024-05-15T23:39:35.8763838Z      ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━ 269.7/796.1 MB 125.7 MB/s eta 0:00:05
2024-05-15T23:39:35.8764964Z      ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━ 277.9/796.1 MB 126.6 MB/s eta 0:00:05
2024-05-15T23:39:35.8766150Z      ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━ 286.8/796.1 MB 264.0 MB/s eta 0:00:02
2024-05-15T23:39:35.8767411Z      ━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 295.6/796.1 MB 255.8 MB/s eta 0:00:02
2024-05-15T23:39:35.8768632Z      ━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 304.4/796.1 MB 256.1 MB/s eta 0:00:02
2024-05-15T23:39:35.8769777Z      ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 312.9/796.1 MB 244.0 MB/s eta 0:00:02
2024-05-15T23:39:35.8770908Z      ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 322.0/796.1 MB 261.6 MB/s eta 0:00:02
2024-05-15T23:39:35.8772249Z      ━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 331.0/796.1 MB 261.8 MB/s eta 0:00:02
2024-05-15T23:39:35.8773392Z      ━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 340.6/796.1 MB 274.7 MB/s eta 0:00:02
2024-05-15T23:39:35.8774602Z      ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 347.7/796.1 MB 225.8 MB/s eta 0:00:02
2024-05-15T23:39:35.8775728Z      ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 352.6/796.1 MB 162.5 MB/s eta 0:00:03
2024-05-15T23:39:35.8776858Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 358.6/796.1 MB 157.1 MB/s eta 0:00:03
2024-05-15T23:39:35.8778052Z      ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 365.9/796.1 MB 205.7 MB/s eta 0:00:03
2024-05-15T23:39:35.8779201Z      ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 371.8/796.1 MB 190.9 MB/s eta 0:00:03
2024-05-15T23:39:35.8780264Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 376.9/796.1 MB 163.7 MB/s eta 0:00:03
2024-05-15T23:39:35.8781412Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 379.3/796.1 MB 123.7 MB/s eta 0:00:04
2024-05-15T23:39:35.8782472Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 382.4/796.1 MB 100.4 MB/s eta 0:00:05
2024-05-15T23:39:35.8783609Z      ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━ 388.0/796.1 MB 108.3 MB/s eta 0:00:04
2024-05-15T23:39:35.8784661Z      ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━ 397.1/796.1 MB 262.9 MB/s eta 0:00:02
2024-05-15T23:39:35.8785833Z      ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━ 406.9/796.1 MB 283.7 MB/s eta 0:00:02
2024-05-15T23:39:37.2320287Z      ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 416.5/796.1 MB 276.3 MB/s eta 0:00:02
2024-05-15T23:39:37.2322189Z      ━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━ 425.5/796.1 MB 260.0 MB/s eta 0:00:02
2024-05-15T23:39:37.2323320Z      ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━ 434.7/796.1 MB 263.9 MB/s eta 0:00:02
2024-05-15T23:39:37.2324395Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 444.1/796.1 MB 272.4 MB/s eta 0:00:02
2024-05-15T23:39:37.2325459Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 451.4/796.1 MB 225.9 MB/s eta 0:00:02
2024-05-15T23:39:37.2326564Z      ━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 460.2/796.1 MB 222.9 MB/s eta 0:00:02
2024-05-15T23:39:37.2327636Z      ━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━ 469.7/796.1 MB 274.2 MB/s eta 0:00:02
2024-05-15T23:39:37.2328717Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 479.1/796.1 MB 272.5 MB/s eta 0:00:02
2024-05-15T23:39:37.2329799Z      ━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━ 488.6/796.1 MB 273.0 MB/s eta 0:00:02
2024-05-15T23:39:37.2330888Z      ━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 498.1/796.1 MB 275.6 MB/s eta 0:00:02
2024-05-15T23:39:37.2332180Z      ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 507.6/796.1 MB 273.9 MB/s eta 0:00:02
2024-05-15T23:39:37.2333278Z      ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 517.3/796.1 MB 277.3 MB/s eta 0:00:02
2024-05-15T23:39:37.2334333Z      ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 526.9/796.1 MB 277.1 MB/s eta 0:00:01
2024-05-15T23:39:37.2335413Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 536.2/796.1 MB 270.3 MB/s eta 0:00:01
2024-05-15T23:39:37.2336480Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 545.7/796.1 MB 270.7 MB/s eta 0:00:01
2024-05-15T23:39:37.2337537Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 555.6/796.1 MB 285.8 MB/s eta 0:00:01
2024-05-15T23:39:37.2338599Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 561.1/796.1 MB 212.5 MB/s eta 0:00:02
2024-05-15T23:39:37.2339796Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 567.6/796.1 MB 163.6 MB/s eta 0:00:02
2024-05-15T23:39:37.2340855Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 575.3/796.1 MB 238.9 MB/s eta 0:00:01
2024-05-15T23:39:37.2341909Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 584.6/796.1 MB 268.8 MB/s eta 0:00:01
2024-05-15T23:39:37.2343031Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 593.1/796.1 MB 245.7 MB/s eta 0:00:01
2024-05-15T23:39:37.2344089Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 600.3/796.1 MB 218.9 MB/s eta 0:00:01
2024-05-15T23:39:37.2345153Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 609.1/796.1 MB 249.8 MB/s eta 0:00:01
2024-05-15T23:39:37.2346223Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 617.4/796.1 MB 246.1 MB/s eta 0:00:01
2024-05-15T23:39:37.2347267Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━ 625.3/796.1 MB 215.2 MB/s eta 0:00:01
2024-05-15T23:39:37.2348322Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━ 632.3/796.1 MB 210.9 MB/s eta 0:00:01
2024-05-15T23:39:37.2349392Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 638.5/796.1 MB 175.3 MB/s eta 0:00:01
2024-05-15T23:39:37.2350903Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 646.6/796.1 MB 243.6 MB/s eta 0:00:01
2024-05-15T23:39:37.2351966Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 651.6/796.1 MB 179.2 MB/s eta 0:00:01
2024-05-15T23:39:37.2353202Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 658.4/796.1 MB 176.4 MB/s eta 0:00:01
2024-05-15T23:39:37.2354256Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 661.8/796.1 MB 144.3 MB/s eta 0:00:01
2024-05-15T23:39:37.2355297Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 670.6/796.1 MB 253.7 MB/s eta 0:00:01
2024-05-15T23:39:37.2356377Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 680.2/796.1 MB 275.1 MB/s eta 0:00:01
2024-05-15T23:39:37.2357434Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 689.7/796.1 MB 274.6 MB/s eta 0:00:01
2024-05-15T23:39:37.2358497Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 699.1/796.1 MB 271.6 MB/s eta 0:00:01
2024-05-15T23:39:37.2359673Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 708.6/796.1 MB 275.5 MB/s eta 0:00:01
2024-05-15T23:39:37.2360777Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 718.3/796.1 MB 277.3 MB/s eta 0:00:01
2024-05-15T23:39:37.2361831Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 727.9/796.1 MB 276.0 MB/s eta 0:00:01
2024-05-15T23:39:37.2362977Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 737.4/796.1 MB 273.1 MB/s eta 0:00:01
2024-05-15T23:39:38.9133721Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 746.5/796.1 MB 262.1 MB/s eta 0:00:01
2024-05-15T23:39:38.9134884Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 755.3/796.1 MB 252.9 MB/s eta 0:00:01
2024-05-15T23:39:38.9135993Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 764.5/796.1 MB 263.7 MB/s eta 0:00:01
2024-05-15T23:39:38.9137012Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 775.8/796.1 MB 340.1 MB/s eta 0:00:01
2024-05-15T23:39:38.9138007Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 783.7/796.1 MB 258.6 MB/s eta 0:00:01
2024-05-15T23:39:38.9139003Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 790.4/796.1 MB 185.0 MB/s eta 0:00:01
2024-05-15T23:39:38.9139979Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9140957Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9141929Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9142903Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9143888Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9144877Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9146162Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9147135Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9148125Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9149224Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9150528Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9151501Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9152500Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9153482Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9154448Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9155417Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9156402Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9157372Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9158344Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9159305Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9160307Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9161302Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9162368Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9163341Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9164314Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9165356Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9166388Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9167487Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9168584Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9169697Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9170656Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9171638Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9172601Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9173558Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:38.9174525Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3321547Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3322976Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3324327Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3325432Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3326421Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3327408Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3328632Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3329599Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3330578Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3331690Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3332681Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3333647Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3334636Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3335632Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3336604Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3337570Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3338564Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3339544Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3340516Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3341494Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3342498Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3343479Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3344473Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3345436Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3346406Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3347377Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3348432Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3349389Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3350863Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3351840Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3352800Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3353767Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3354756Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3355726Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3356691Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3357675Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3358645Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3359613Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3360567Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3361547Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:40.3362510Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7476464Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7477930Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7479267Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7480326Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7481470Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7482445Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7483409Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7484401Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7485371Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7486329Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7487313Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7488292Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7489263Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7490248Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7491223Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7492197Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7493387Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7494439Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7495413Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7496388Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7497449Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7498434Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7499419Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7500423Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7501453Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7502418Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7503409Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7504384Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7505350Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7506313Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7507312Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7508294Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7509270Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7510559Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7511545Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7512525Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7513600Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7514565Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7515544Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7516599Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:41.7517573Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1621420Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1622840Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1624203Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1625200Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1626194Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1627171Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1628150Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1629114Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1630431Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1631423Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1632403Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1633389Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1634370Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1635351Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1636337Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1637478Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1638458Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1639533Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1640512Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1641477Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1642471Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1643471Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1644454Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1645422Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1646422Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1647402Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1648370Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1649439Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1650418Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1651392Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1652435Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1653416Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1654400Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1655382Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1656372Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1657353Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1658333Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1659323Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1660289Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1661267Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:43.1662255Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5776957Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5778252Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5779680Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5780739Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5781714Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5782688Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5783890Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5784863Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5785829Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5786907Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5787889Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5788856Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5790113Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5791111Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5792090Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5793076Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5794245Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5795235Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5796208Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5797183Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5798154Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5799135Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5800101Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5801061Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5802032Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5803107Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5804077Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5805036Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5806095Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5807076Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5808042Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5809012Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5810000Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5810970Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5811965Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5812956Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5813924Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5814910Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5815896Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5816871Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:44.5817847Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:46.2595540Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:46.2596793Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:46.2597776Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:46.2598919Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 796.1/796.1 MB 194.5 MB/s eta 0:00:01
2024-05-15T23:39:46.2599879Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 796.1/796.1 MB 1.4 MB/s eta 0:00:00
2024-05-15T23:39:46.2601027Z [?25hRequirement already satisfied: filelock in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (3.13.1)
2024-05-15T23:39:46.2602465Z Requirement already satisfied: typing-extensions>=4.8.0 in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (4.11.0)
2024-05-15T23:39:46.2603851Z Requirement already satisfied: sympy in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (1.12)
2024-05-15T23:39:46.2605144Z Requirement already satisfied: networkx in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (3.3)
2024-05-15T23:39:46.2606432Z Requirement already satisfied: jinja2 in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (3.1.3)
2024-05-15T23:39:46.2607751Z Requirement already satisfied: fsspec in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (2024.3.1)
2024-05-15T23:39:46.2609227Z Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (12.1.105)
2024-05-15T23:39:46.2610839Z Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (12.1.105)
2024-05-15T23:39:46.2612454Z Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (12.1.105)
2024-05-15T23:39:46.2614020Z Requirement already satisfied: nvidia-cudnn-cu12==8.9.2.26 in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (8.9.2.26)
2024-05-15T23:39:46.2615563Z Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (12.1.3.1)
2024-05-15T23:39:46.2617129Z Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (11.0.2.54)
2024-05-15T23:39:46.2618695Z Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (10.3.2.106)
2024-05-15T23:39:46.2620290Z Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (11.4.5.107)
2024-05-15T23:39:46.2621916Z Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (12.1.0.106)
2024-05-15T23:39:46.2623469Z Requirement already satisfied: nvidia-nccl-cu12==2.20.5 in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (2.20.5)
2024-05-15T23:39:46.2624969Z Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (12.1.105)
2024-05-15T23:39:46.2626213Z Collecting pytorch-triton==3.0.0+45fff310c8 (from torch==2.4.0.dev20240507)
2024-05-15T23:39:46.2627361Z   Downloading https://download.pytorch.org/whl/nightly/pytorch_triton-3.0.0%2B45fff310c8-cp311-cp311-linux_x86_64.whl (241.9 MB)
2024-05-15T23:39:46.2628551Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/241.9 MB ? eta -:--:--
2024-05-15T23:39:46.2629790Z      ━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.5/241.9 MB 255.5 MB/s eta 0:00:01
2024-05-15T23:39:46.2631391Z      ━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 17.7/241.9 MB 265.2 MB/s eta 0:00:01
2024-05-15T23:39:46.2632484Z      ━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 27.0/241.9 MB 268.3 MB/s eta 0:00:01
2024-05-15T23:39:46.2633599Z      ━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 32.9/241.9 MB 211.8 MB/s eta 0:00:01
2024-05-15T23:39:46.2634667Z      ━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 40.2/241.9 MB 177.5 MB/s eta 0:00:02
2024-05-15T23:39:46.2635739Z      ━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 49.0/241.9 MB 254.1 MB/s eta 0:00:01
2024-05-15T23:39:46.2636839Z      ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 57.7/241.9 MB 243.2 MB/s eta 0:00:01
2024-05-15T23:39:46.2637923Z      ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.6/241.9 MB 258.7 MB/s eta 0:00:01
2024-05-15T23:39:46.2638997Z      ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━ 76.0/241.9 MB 266.7 MB/s eta 0:00:01
2024-05-15T23:39:46.2640073Z      ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━ 85.0/241.9 MB 260.6 MB/s eta 0:00:01
2024-05-15T23:39:46.2641155Z      ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 94.4/241.9 MB 268.9 MB/s eta 0:00:01
2024-05-15T23:39:46.2642243Z      ━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 103.0/241.9 MB 256.1 MB/s eta 0:00:01
2024-05-15T23:39:46.2643331Z      ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 111.4/241.9 MB 243.1 MB/s eta 0:00:01
2024-05-15T23:39:46.2644403Z      ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━ 119.9/241.9 MB 245.1 MB/s eta 0:00:01
2024-05-15T23:39:46.2645480Z      ━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━ 128.0/241.9 MB 237.7 MB/s eta 0:00:01
2024-05-15T23:39:46.2646551Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 136.3/241.9 MB 239.9 MB/s eta 0:00:01
2024-05-15T23:39:46.2647746Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 144.1/241.9 MB 228.9 MB/s eta 0:00:01
2024-05-15T23:39:46.2648813Z      ━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 153.0/241.9 MB 254.8 MB/s eta 0:00:01
2024-05-15T23:39:46.2649972Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 161.6/241.9 MB 250.4 MB/s eta 0:00:01
2024-05-15T23:39:46.2651056Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 170.6/241.9 MB 260.1 MB/s eta 0:00:01
2024-05-15T23:39:46.2652159Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 182.3/241.9 MB 350.9 MB/s eta 0:00:01
2024-05-15T23:39:47.7017198Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 193.6/241.9 MB 340.8 MB/s eta 0:00:01
2024-05-15T23:39:47.7018422Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 204.7/241.9 MB 334.4 MB/s eta 0:00:01
2024-05-15T23:39:47.7019512Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 216.2/241.9 MB 347.9 MB/s eta 0:00:01
2024-05-15T23:39:47.7020590Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 227.8/241.9 MB 349.0 MB/s eta 0:00:01
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2024-05-15T23:40:07.4572914Z [?25hRequirement already satisfied: nvidia-nvjitlink-cu12 in /opt/conda/lib/python3.11/site-packages (from nvidia-cusolver-cu12==11.4.5.107->torch==2.4.0.dev20240507) (12.4.127)
2024-05-15T23:40:07.4574905Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/lib/python3.11/site-packages (from jinja2->torch==2.4.0.dev20240507) (2.1.3)
2024-05-15T23:40:07.4576549Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.11/site-packages (from sympy->torch==2.4.0.dev20240507) (1.3.0)
2024-05-15T23:40:07.4577759Z Installing collected packages: pytorch-triton, torch
2024-05-15T23:40:07.4578342Z   Attempting uninstall: torch
2024-05-15T23:40:07.4578906Z     Found existing installation: torch 2.3.0
2024-05-15T23:40:07.4579497Z     Uninstalling torch-2.3.0:
2024-05-15T23:40:07.4580078Z       Successfully uninstalled torch-2.3.0
2024-05-15T23:40:07.4581009Z Successfully installed pytorch-triton-3.0.0+45fff310c8 torch-2.4.0.dev20240507+cu121
2024-05-15T23:40:07.4583050Z 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
2024-05-15T23:40:07.4584566Z + pip list
2024-05-15T23:40:07.4584962Z Package                   Version
2024-05-15T23:40:07.4585430Z ------------------------- -----------------------
2024-05-15T23:40:07.4586001Z absl-py                   2.1.0
2024-05-15T23:40:07.4586371Z accelerate                0.30.1
2024-05-15T23:40:07.4586785Z aiohttp                   3.9.5
2024-05-15T23:40:07.4587239Z aiosignal                 1.3.1
2024-05-15T23:40:07.4587663Z anaconda-anon-usage       0.4.4
2024-05-15T23:40:07.4588171Z anaconda-client           1.12.3
2024-05-15T23:40:07.4588545Z attrs                     23.1.0
2024-05-15T23:40:07.4588969Z beautifulsoup4            4.12.2
2024-05-15T23:40:07.4589458Z blinker                   1.8.2
2024-05-15T23:40:07.4589822Z blobfile                  2.1.1
2024-05-15T23:40:07.4590440Z boltons                   23.0.0
2024-05-15T23:40:07.4590800Z brotlipy                  0.7.0
2024-05-15T23:40:07.4591222Z certifi                   2024.2.2
2024-05-15T23:40:07.4591823Z cffi                      1.15.1
2024-05-15T23:40:07.4592222Z chardet                   4.0.0
2024-05-15T23:40:07.4592671Z charset-normalizer        2.0.4
2024-05-15T23:40:07.4593127Z click                     8.1.7
2024-05-15T23:40:07.4593482Z cmake                     3.29.3
2024-05-15T23:40:07.4593908Z colorama                  0.4.6
2024-05-15T23:40:07.4594262Z conda                     23.5.2
2024-05-15T23:40:07.4594724Z conda-build               24.3.0
2024-05-15T23:40:07.4595314Z conda-content-trust       0.1.3
2024-05-15T23:40:07.4595690Z conda_index               0.4.0
2024-05-15T23:40:07.4596185Z conda-libmamba-solver     23.5.0
2024-05-15T23:40:07.4596673Z conda-package-handling    2.1.0
2024-05-15T23:40:07.4597061Z conda_package_streaming   0.8.0
2024-05-15T23:40:07.4597507Z cryptography              39.0.1
2024-05-15T23:40:07.4597878Z DataProperty              1.0.1
2024-05-15T23:40:07.4598302Z datasets                  2.19.1
2024-05-15T23:40:07.4598731Z defusedxml                0.7.1
2024-05-15T23:40:07.4599102Z dill                      0.3.8
2024-05-15T23:40:09.0395859Z evaluate                  0.4.2
2024-05-15T23:40:09.0396431Z fastjsonschema            2.16.2
2024-05-15T23:40:09.0396819Z filelock                  3.13.1
2024-05-15T23:40:09.0397309Z Flask                     3.0.3
2024-05-15T23:40:09.0397679Z frozenlist                1.4.1
2024-05-15T23:40:09.0398129Z fsspec                    2024.3.1
2024-05-15T23:40:09.0398511Z gguf                      0.6.0
2024-05-15T23:40:09.0399106Z huggingface-hub           0.23.0
2024-05-15T23:40:09.0399469Z idna                      3.4
2024-05-15T23:40:09.0399896Z itsdangerous              2.2.0
2024-05-15T23:40:09.0400261Z Jinja2                    3.1.3
2024-05-15T23:40:09.0400664Z joblib                    1.4.2
2024-05-15T23:40:09.0401041Z jsonlines                 4.0.0
2024-05-15T23:40:09.0401432Z jsonpatch                 1.32
2024-05-15T23:40:09.0401821Z jsonpointer               2.1
2024-05-15T23:40:09.0402320Z jsonschema                4.19.2
2024-05-15T23:40:09.0402791Z jsonschema-specifications 2023.7.1
2024-05-15T23:40:09.0403253Z jupyter_core              5.5.0
2024-05-15T23:40:09.0403662Z libarchive-c              2.9
2024-05-15T23:40:09.0404052Z libmambapy                1.4.1
2024-05-15T23:40:09.0404433Z lm_eval                   0.4.0
2024-05-15T23:40:09.0404803Z lxml                      4.9.4
2024-05-15T23:40:09.0405204Z MarkupSafe                2.1.3
2024-05-15T23:40:09.0405568Z mbstrdecoder              1.1.3
2024-05-15T23:40:09.0406004Z menuinst                  2.0.2
2024-05-15T23:40:09.0406406Z more-itertools            10.1.0
2024-05-15T23:40:09.0406841Z mpmath                    1.3.0
2024-05-15T23:40:09.0416500Z multidict                 6.0.5
2024-05-15T23:40:09.0416940Z multiprocess              0.70.16
2024-05-15T23:40:09.0417415Z nbformat                  5.9.2
2024-05-15T23:40:09.0417799Z networkx                  3.3
2024-05-15T23:40:09.0418162Z ninja                     1.11.1.1
2024-05-15T23:40:09.0418595Z nltk                      3.8.1
2024-05-15T23:40:09.0418955Z numexpr                   2.10.0
2024-05-15T23:40:09.0419388Z numpy                     1.26.4
2024-05-15T23:40:09.0419823Z nvidia-cublas-cu12        12.1.3.1
2024-05-15T23:40:09.0420339Z nvidia-cuda-cupti-cu12    12.1.105
2024-05-15T23:40:09.0420785Z nvidia-cuda-nvrtc-cu12    12.1.105
2024-05-15T23:40:09.0421288Z nvidia-cuda-runtime-cu12  12.1.105
2024-05-15T23:40:09.0421742Z nvidia-cudnn-cu12         8.9.2.26
2024-05-15T23:40:09.0422224Z nvidia-cufft-cu12         11.0.2.54
2024-05-15T23:40:09.0422696Z nvidia-curand-cu12        10.3.2.106
2024-05-15T23:40:09.0423170Z nvidia-cusolver-cu12      11.4.5.107
2024-05-15T23:40:09.0423689Z nvidia-cusparse-cu12      12.1.0.106
2024-05-15T23:40:09.0424123Z nvidia-nccl-cu12          2.20.5
2024-05-15T23:40:09.0424619Z nvidia-nvjitlink-cu12     12.4.127
2024-05-15T23:40:09.0425049Z nvidia-nvtx-cu12          12.1.105
2024-05-15T23:40:09.0425495Z packaging                 23.0
2024-05-15T23:40:09.0426067Z pandas                    2.2.2
2024-05-15T23:40:09.0426511Z pathvalidate              3.2.0
2024-05-15T23:40:09.0426869Z peft                      0.10.0
2024-05-15T23:40:09.0427301Z pip                       23.1.2
2024-05-15T23:40:09.0427671Z pkginfo                   1.9.6
2024-05-15T23:40:09.0428094Z platformdirs              3.10.0
2024-05-15T23:40:09.0428463Z pluggy                    1.0.0
2024-05-15T23:40:09.0428860Z portalocker               2.8.2
2024-05-15T23:40:09.0429459Z psutil                    5.9.0
2024-05-15T23:40:09.0430091Z pyarrow                   16.1.0
2024-05-15T23:40:09.0430542Z pyarrow-hotfix            0.6
2024-05-15T23:40:09.0430971Z pybind11                  2.12.0
2024-05-15T23:40:09.0431331Z pycosat                   0.6.4
2024-05-15T23:40:09.0431763Z pycparser                 2.21
2024-05-15T23:40:09.0432122Z pycryptodomex             3.20.0
2024-05-15T23:40:09.0432491Z pyOpenSSL                 23.0.0
2024-05-15T23:40:09.0432944Z PySocks                   1.7.1
2024-05-15T23:40:09.0433304Z pytablewriter             1.2.0
2024-05-15T23:40:09.0433719Z python-dateutil           2.8.2
2024-05-15T23:40:09.0434214Z pytorch-triton            3.0.0+45fff310c8
2024-05-15T23:40:09.0434655Z pytz                      2023.3.post1
2024-05-15T23:40:09.0435041Z PyYAML                    6.0.1
2024-05-15T23:40:09.0435401Z referencing               0.30.2
2024-05-15T23:40:09.0435760Z regex                     2024.5.15
2024-05-15T23:40:09.0436137Z requests                  2.29.0
2024-05-15T23:40:09.0436629Z requests-toolbelt         1.0.0
2024-05-15T23:40:09.0437032Z rouge-score               0.1.2
2024-05-15T23:40:09.0437433Z rpds-py                   0.10.6
2024-05-15T23:40:09.0437798Z ruamel.yaml               0.17.21
2024-05-15T23:40:09.0438158Z sacrebleu                 2.4.2
2024-05-15T23:40:09.0438514Z safetensors               0.4.3
2024-05-15T23:40:09.0438909Z scikit-learn              1.4.2
2024-05-15T23:40:09.0439260Z scipy                     1.13.0
2024-05-15T23:40:09.0439632Z sentencepiece             0.2.0
2024-05-15T23:40:09.0439998Z setuptools                67.8.0
2024-05-15T23:40:09.0440407Z six                       1.16.0
2024-05-15T23:40:09.0440779Z snakeviz                  2.2.0
2024-05-15T23:40:09.0441131Z soupsieve                 2.5
2024-05-15T23:40:09.0441478Z sqlitedict                2.1.0
2024-05-15T23:40:09.0441829Z sympy                     1.12
2024-05-15T23:40:09.0442179Z tabledata                 1.3.3
2024-05-15T23:40:09.0442527Z tabulate                  0.9.0
2024-05-15T23:40:09.0442887Z tcolorpy                  0.1.6
2024-05-15T23:40:09.0443259Z threadpoolctl             3.5.0
2024-05-15T23:40:09.0443611Z tiktoken                  0.7.0
2024-05-15T23:40:09.0443972Z tokenizers                0.19.1
2024-05-15T23:40:09.0444329Z toolz                     0.12.0
2024-05-15T23:40:09.0444724Z torch                     2.4.0.dev20240507+cu121
2024-05-15T23:40:09.0445152Z torchao                   0.1
2024-05-15T23:40:09.0445503Z tornado                   6.4
2024-05-15T23:40:09.0445840Z tqdm                      4.65.0
2024-05-15T23:40:09.0446248Z tqdm-multiprocess         0.0.11
2024-05-15T23:40:09.0446617Z traitlets                 5.7.1
2024-05-15T23:40:09.0446971Z transformers              4.40.2
2024-05-15T23:40:09.0447350Z typepy                    1.3.2
2024-05-15T23:40:09.0447815Z typing_extensions         4.11.0
2024-05-15T23:40:09.0448184Z tzdata                    2024.1
2024-05-15T23:40:09.0448539Z urllib3                   1.26.16
2024-05-15T23:40:09.0448908Z Werkzeug                  3.0.3
2024-05-15T23:40:09.0449255Z wheel                     0.38.4
2024-05-15T23:40:09.0449606Z xxhash                    3.4.1
2024-05-15T23:40:09.0449953Z yarl                      1.9.4
2024-05-15T23:40:09.0450301Z zstandard                 0.19.0
2024-05-15T23:40:09.0450659Z zstd                      1.5.5.1
2024-05-15T23:40:09.0451349Z + python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
2024-05-15T23:40:09.0452371Z torch: ('2.4.0.dev20240507+cu121', 'e4f522910a192a919111277ce3e1c0fb0c8482bd')
2024-05-15T23:40:09.0452976Z + echo ::endgroup::
2024-05-15T23:40:09.0453653Z ##[endgroup]
2024-05-15T23:40:09.0454052Z + echo '::group::Download checkpoint'
2024-05-15T23:40:09.0454684Z ##[group]Download checkpoint
2024-05-15T23:40:09.0455072Z + export REPO_NAME=tinyllamas/stories15M
2024-05-15T23:40:09.0455489Z + REPO_NAME=tinyllamas/stories15M
2024-05-15T23:40:09.0457157Z + 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
2024-05-15T23:40:09.0458746Z + MODEL_REPO=tinyllamas/stories15M
2024-05-15T23:40:09.0460115Z + 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
2024-05-15T23:40:09.0461592Z + CHECKPOINT_NAME=stories15M
2024-05-15T23:40:09.0462087Z + mkdir -p checkpoints/tinyllamas/stories15M
2024-05-15T23:40:09.0462597Z + pushd checkpoints/tinyllamas/stories15M
2024-05-15T23:40:09.0463311Z /pytorch/torchchat/checkpoints/tinyllamas/stories15M /pytorch/torchchat
2024-05-15T23:40:09.0463898Z + IFS=,
2024-05-15T23:40:09.0464234Z + for resource in '$RESOURCES_STRING'
2024-05-15T23:40:09.0465162Z + echo 'Downloading: https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt'
2024-05-15T23:40:09.0466082Z Downloading: https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt
2024-05-15T23:40:09.0466922Z + wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt
2024-05-15T23:40:09.0467865Z --2024-05-15 23:40:08--  https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt
2024-05-15T23:40:09.0468789Z Resolving huggingface.co (huggingface.co)... 18.154.227.67, 18.154.227.69, 18.154.227.7, ...
2024-05-15T23:40:09.0469730Z Connecting to huggingface.co (huggingface.co)|18.154.227.67|:443... connected.
2024-05-15T23:40:09.0470497Z HTTP request sent, awaiting response... 302 Found
2024-05-15T23:40:09.0480030Z Location: https://cdn-lfs.huggingface.co/repos/88/4b/884bade32e5ee32eea725c5087af1358179a1bea94a4f6abc3c0470c9610ac38/3da00c0fef684f3f83b457736837c46ab55e92a26662b61d6104de2d271c708d?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27stories15M.pt%3B+filename%3D%22stories15M.pt%22%3B&Expires=1716075608&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxNjA3NTYwOH19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy84OC80Yi84ODRiYWRlMzJlNWVlMzJlZWE3MjVjNTA4N2FmMTM1ODE3OWExYmVhOTRhNGY2YWJjM2MwNDcwYzk2MTBhYzM4LzNkYTAwYzBmZWY2ODRmM2Y4M2I0NTc3MzY4MzdjNDZhYjU1ZTkyYTI2NjYyYjYxZDYxMDRkZTJkMjcxYzcwOGQ%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=th07c2W2JmeTbeXEKerbM8gr8gSZfMrZck93yQ5%7EroRqVs6-sFsO4joMOmpiy5dPnyU1TX6kepT7RvF-3KZ8IiCtioiOiV2l7dDYQyCDo2Ez3XaUGpeKdokgkXW7erJ4yjCWb-X4bjFfjNqzo2T1fXmQarZ3FMInbJxV01ZO2wx8CvzhcLdxzaDjuDm-hHQr5iQSqjiliLup5RWpqqWyI8IlkYYahtBC7O0dMWilivlwos1EApirg8x5crnT4qu8XPWkukaq4W-9nWQUeXFzgvAZc6W%7EuN5xXo2N2MDAvmnBnFViJVHVldX3Bjq0%7ELOt3cAGNkGXrXromn9K1hwfTA__&Key-Pair-Id=KVTP0A1DKRTAX [following]
2024-05-15T23:40:09.0497468Z --2024-05-15 23:40:08--  https://cdn-lfs.huggingface.co/repos/88/4b/884bade32e5ee32eea725c5087af1358179a1bea94a4f6abc3c0470c9610ac38/3da00c0fef684f3f83b457736837c46ab55e92a26662b61d6104de2d271c708d?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27stories15M.pt%3B+filename%3D%22stories15M.pt%22%3B&Expires=1716075608&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxNjA3NTYwOH19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy84OC80Yi84ODRiYWRlMzJlNWVlMzJlZWE3MjVjNTA4N2FmMTM1ODE3OWExYmVhOTRhNGY2YWJjM2MwNDcwYzk2MTBhYzM4LzNkYTAwYzBmZWY2ODRmM2Y4M2I0NTc3MzY4MzdjNDZhYjU1ZTkyYTI2NjYyYjYxZDYxMDRkZTJkMjcxYzcwOGQ%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=th07c2W2JmeTbeXEKerbM8gr8gSZfMrZck93yQ5%7EroRqVs6-sFsO4joMOmpiy5dPnyU1TX6kepT7RvF-3KZ8IiCtioiOiV2l7dDYQyCDo2Ez3XaUGpeKdokgkXW7erJ4yjCWb-X4bjFfjNqzo2T1fXmQarZ3FMInbJxV01ZO2wx8CvzhcLdxzaDjuDm-hHQr5iQSqjiliLup5RWpqqWyI8IlkYYahtBC7O0dMWilivlwos1EApirg8x5crnT4qu8XPWkukaq4W-9nWQUeXFzgvAZc6W%7EuN5xXo2N2MDAvmnBnFViJVHVldX3Bjq0%7ELOt3cAGNkGXrXromn9K1hwfTA__&Key-Pair-Id=KVTP0A1DKRTAX
2024-05-15T23:40:09.0506743Z Resolving cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)... 108.138.64.121, 108.138.64.49, 108.138.64.36, ...
2024-05-15T23:40:09.0507888Z Connecting to cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)|108.138.64.121|:443... connected.
2024-05-15T23:40:09.0508660Z HTTP request sent, awaiting response... 200 OK
2024-05-15T23:40:09.0509318Z Length: 60789090 (58M) [binary/octet-stream]
2024-05-15T23:40:09.0509822Z Saving to: ‘stories15M.pt’
2024-05-15T23:40:09.0510215Z 
2024-05-15T23:40:09.0510221Z 
2024-05-15T23:40:09.0510483Z  0% [                                       ] 0           --.-K/s              
2024-05-15T23:40:09.0511114Z 100%[======================================>] 60,789,090  --.-K/s   in 0.1s    
2024-05-15T23:40:09.0511472Z 
2024-05-15T23:40:09.0513546Z 2024-05-15 23:40:09 (506 MB/s) - ‘stories15M.pt’ saved [60789090/60789090]
2024-05-15T23:40:09.0514003Z 
2024-05-15T23:40:09.0514215Z + for resource in '$RESOURCES_STRING'
2024-05-15T23:42:30.5279862Z + echo 'Downloading: https://github.com/karpathy/llama2.c/raw/master/tokenizer.model'
2024-05-15T23:42:30.5280874Z Downloading: https://github.com/karpathy/llama2.c/raw/master/tokenizer.model
2024-05-15T23:42:30.5281711Z + wget https://github.com/karpathy/llama2.c/raw/master/tokenizer.model
2024-05-15T23:42:30.5282696Z --2024-05-15 23:40:09--  https://github.com/karpathy/llama2.c/raw/master/tokenizer.model
2024-05-15T23:42:30.5283591Z Resolving github.com (github.com)... 140.82.113.4
2024-05-15T23:42:30.5284224Z Connecting to github.com (github.com)|140.82.113.4|:443... connected.
2024-05-15T23:42:30.5284935Z HTTP request sent, awaiting response... 302 Found
2024-05-15T23:42:30.5285765Z Location: https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.model [following]
2024-05-15T23:42:30.5286967Z --2024-05-15 23:40:09--  https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.model
2024-05-15T23:42:30.5288105Z Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.111.133, 185.199.109.133, 185.199.108.133, ...
2024-05-15T23:42:30.5289323Z Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.111.133|:443... connected.
2024-05-15T23:42:30.5290160Z HTTP request sent, awaiting response... 200 OK
2024-05-15T23:42:30.5293841Z Length: 499723 (488K) [application/octet-stream]
2024-05-15T23:42:30.5294599Z Saving to: ‘tokenizer.model’
2024-05-15T23:42:30.5294958Z 
2024-05-15T23:42:30.5294966Z 
2024-05-15T23:42:30.5295335Z  0% [                                       ] 0           --.-K/s              
2024-05-15T23:42:30.5296157Z 100%[======================================>] 499,723     --.-K/s   in 0.002s  
2024-05-15T23:42:30.5296621Z 
2024-05-15T23:42:30.5296992Z 2024-05-15 23:40:09 (195 MB/s) - ‘tokenizer.model’ saved [499723/499723]
2024-05-15T23:42:30.5297434Z 
2024-05-15T23:42:30.5297631Z + for resource in '$RESOURCES_STRING'
2024-05-15T23:42:30.5298577Z + echo 'Downloading: https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin'
2024-05-15T23:42:30.5299703Z Downloading: https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
2024-05-15T23:42:30.5300779Z + wget https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
2024-05-15T23:42:30.5301974Z --2024-05-15 23:40:09--  https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
2024-05-15T23:42:30.5302722Z Resolving github.com (github.com)... 140.82.113.4
2024-05-15T23:42:30.5303521Z Connecting to github.com (github.com)|140.82.113.4|:443... connected.
2024-05-15T23:42:30.5304341Z HTTP request sent, awaiting response... 302 Found
2024-05-15T23:42:30.5305341Z Location: https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.bin [following]
2024-05-15T23:42:30.5306716Z --2024-05-15 23:40:09--  https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.bin
2024-05-15T23:42:30.5307800Z Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.108.133, 185.199.109.133, ...
2024-05-15T23:42:30.5308913Z Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.
2024-05-15T23:42:30.5310316Z HTTP request sent, awaiting response... 200 OK
2024-05-15T23:42:30.5311047Z Length: 433869 (424K) [application/octet-stream]
2024-05-15T23:42:30.5311734Z Saving to: ‘tokenizer.bin’
2024-05-15T23:42:30.5312049Z 
2024-05-15T23:42:30.5312055Z 
2024-05-15T23:42:30.5312318Z  0% [                                       ] 0           --.-K/s              
2024-05-15T23:42:30.5313168Z 100%[======================================>] 433,869     --.-K/s   in 0.003s  
2024-05-15T23:42:30.5313669Z 
2024-05-15T23:42:30.5314146Z 2024-05-15 23:40:09 (121 MB/s) - ‘tokenizer.bin’ saved [433869/433869]
2024-05-15T23:42:30.5314726Z 
2024-05-15T23:42:30.5314872Z + popd
2024-05-15T23:42:30.5315222Z /pytorch/torchchat
2024-05-15T23:42:30.5315641Z + echo ::endgroup::
2024-05-15T23:42:30.5316342Z ##[endgroup]
2024-05-15T23:42:30.5316758Z + echo '::group::Convert checkpoint'
2024-05-15T23:42:30.5317402Z ##[group]Convert checkpoint
2024-05-15T23:42:30.5317902Z + bash .ci/scripts/convert_checkpoint.sh tinyllamas/stories15M
2024-05-15T23:42:30.5318635Z /pytorch/torchchat/checkpoints/tinyllamas/stories15M /pytorch/torchchat
2024-05-15T23:42:30.5319228Z /pytorch/torchchat
2024-05-15T23:42:30.5319542Z + echo ::endgroup::
2024-05-15T23:42:30.5320057Z ##[endgroup]
2024-05-15T23:42:30.5320416Z + echo '::group::Run inference'
2024-05-15T23:42:30.5321003Z ##[group]Run inference
2024-05-15T23:42:30.5321709Z + bash .ci/scripts/validate.sh ./checkpoints/tinyllamas/stories15M/model.pth cuda aoti-float16
2024-05-15T23:42:30.5322425Z arg:aoti-float16
2024-05-15T23:42:30.5322742Z Passing DTYPES=float16
2024-05-15T23:42:30.5323075Z Local DTYPES=float16
2024-05-15T23:42:30.5323424Z Local after default DTYPES=float16
2024-05-15T23:42:30.5323978Z ############### Run inference with AOT Inductor for dtype float16 ###############
2024-05-15T23:42:30.5324419Z 
2024-05-15T23:42:30.5324551Z ******************************************
2024-05-15T23:42:30.5325024Z ************** non-quantized *************
2024-05-15T23:42:30.5325438Z ******************************************
2024-05-15T23:42:30.5325832Z Using device=cuda
2024-05-15T23:42:30.5326140Z Loading model...
2024-05-15T23:42:30.5326456Z Time to load model: 1.78 seconds
2024-05-15T23:42:30.5327164Z Exporting model using AOT Inductor to /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-05-15T23:42:30.5328222Z The generated DSO model can be found at: /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-05-15T23:42:30.5329126Z Time for inference 1: 1.06 sec total, 188.30 tokens/sec
2024-05-15T23:42:30.5329618Z Bandwidth achieved: 9.19 GB/s
2024-05-15T23:42:30.5330267Z *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-05-15T23:42:30.5331162Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:42:30.5331965Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:42:30.5332589Z Using device=cuda NVIDIA A10G
2024-05-15T23:42:30.5332950Z Loading model...
2024-05-15T23:42:30.5333269Z Time to load model: 0.14 seconds
2024-05-15T23:42:30.5334007Z Hello, my name is Tiny. He is a very soft gorilla. One day, Tiny went to visit his friend, Ollie the elephant.
2024-05-15T23:42:30.5334877Z "Hi, Ollie," said Tiny. "I'm so happy to see you!"
2024-05-15T23:42:30.5335482Z "Hi, Tiny," said Ollie. "Your hair is so nice. Let's play!"
2024-05-15T23:42:30.5336473Z Wisl and Tiny played all day. They ran, they jumped, and they laughed. They had so much fun. But, Tiny was very tired. He wanted to rest.
2024-05-15T23:42:30.5338141Z Today, Tuesday, Tiny did not come home. Ollie looked everywhere for Tiny. He was scared. He went into a big hole to look for Tiny. But, the hole was too deep. Tiny was stuck.
2024-05-15T23:42:30.5339392Z In the end, Tuesday did not come. Tiny was very sad. He missed his friend Ollie.
2024-05-15T23:42:30.5340073Z [Max Sequence Length Reached. Ending Conversation.]
2024-05-15T23:42:30.5340615Z ---------------------------------------------------
2024-05-15T23:42:30.5340918Z 
2024-05-15T23:42:30.5341102Z ========================================
2024-05-15T23:42:30.5341374Z 
2024-05-15T23:42:30.5341505Z Average tokens/sec: 188.30
2024-05-15T23:42:30.5341852Z Memory used: 0.14 GB
2024-05-15T23:42:30.5342183Z ******************************************
2024-05-15T23:42:30.5342652Z ******* Emb: channel-wise quantized ******
2024-05-15T23:42:30.5343069Z ******************************************
2024-05-15T23:42:30.5343461Z Using device=cuda
2024-05-15T23:42:30.5343764Z Loading model...
2024-05-15T23:42:30.5344085Z Time to load model: 1.78 seconds
2024-05-15T23:42:30.5344705Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 0}}
2024-05-15T23:42:30.5345299Z Time to quantize model: 0.04 seconds
2024-05-15T23:42:30.5346030Z Exporting model using AOT Inductor to /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-05-15T23:42:30.5347081Z The generated DSO model can be found at: /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-05-15T23:42:30.5347897Z Time for inference 1: 1.01 sec total, 197.94 tokens/sec
2024-05-15T23:42:30.5348389Z Bandwidth achieved: 9.66 GB/s
2024-05-15T23:42:30.5349040Z *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-05-15T23:42:30.5350301Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:42:30.5351112Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:42:30.5351734Z Using device=cuda NVIDIA A10G
2024-05-15T23:42:30.5352093Z Loading model...
2024-05-15T23:42:30.5352404Z Time to load model: 0.14 seconds
2024-05-15T23:42:30.5353607Z 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.
2024-05-15T23:42:30.5355426Z 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. She is so happy.
2024-05-15T23:42:30.5357546Z 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. The boy says hello back. He asks Daisy if she wants to play with him. Daisy says yes.
2024-05-15T23:42:30.5359136Z Daisy and the boy play together. They have fun. They laugh and run. They are good friends. D
2024-05-15T23:42:30.5359930Z [Max Sequence Length Reached. Ending Conversation.]
2024-05-15T23:42:30.5360479Z ---------------------------------------------------
2024-05-15T23:42:30.5360781Z 
2024-05-15T23:42:30.5360918Z ========================================
2024-05-15T23:42:30.5361185Z 
2024-05-15T23:42:30.5361318Z Average tokens/sec: 197.94
2024-05-15T23:42:30.5361670Z Memory used: 0.14 GB
2024-05-15T23:42:30.5361999Z ******************************************
2024-05-15T23:42:30.5362462Z ******** Emb: group-wise quantized *******
2024-05-15T23:42:30.5362881Z ******************************************
2024-05-15T23:42:30.5363276Z Using device=cuda
2024-05-15T23:42:30.5363572Z Loading model...
2024-05-15T23:42:30.5363890Z Time to load model: 1.77 seconds
2024-05-15T23:42:30.5364507Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 8}}
2024-05-15T23:42:30.5365088Z Time to quantize model: 0.05 seconds
2024-05-15T23:42:30.5365818Z Exporting model using AOT Inductor to /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-05-15T23:42:30.5366985Z The generated DSO model can be found at: /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-05-15T23:42:30.5367805Z Time for inference 1: 1.01 sec total, 197.79 tokens/sec
2024-05-15T23:42:30.5368284Z Bandwidth achieved: 9.66 GB/s
2024-05-15T23:42:30.5368946Z *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-05-15T23:42:30.5369840Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:42:30.5370710Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:42:30.5371341Z Using device=cuda NVIDIA A10G
2024-05-15T23:42:30.5371707Z Loading model...
2024-05-15T23:42:30.5372022Z Time to load model: 0.15 seconds
2024-05-15T23:42:30.5373137Z 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.
2024-05-15T23:42:30.5374756Z 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 says, "Whee!"
2024-05-15T23:42:30.5376164Z Daisy's mommy claps and says, "Good job, Daisy! You are so brave!" Daisy smiles and says, "Thank you, mommy!"
2024-05-15T23:42:30.5377720Z Daisy and her mommy have a great day at the park. They play on the swings, slide down the slide, and run in the grass. Daisy is very happy. She loves her mommy and her popular slide. Once upon a time, there
2024-05-15T23:45:54.2612764Z [Max Sequence Length Reached. Ending Conversation.]
2024-05-15T23:45:54.2613453Z ---------------------------------------------------
2024-05-15T23:45:54.2615361Z 
2024-05-15T23:45:54.2615695Z ========================================
2024-05-15T23:45:54.2617803Z 
2024-05-15T23:45:54.2618428Z Average tokens/sec: 197.79
2024-05-15T23:45:54.2618960Z Memory used: 0.14 GB
2024-05-15T23:45:54.2619330Z ***********************************************
2024-05-15T23:45:54.2619889Z ******* Emb: 4bit channel-wise quantized ******
2024-05-15T23:45:54.2620357Z ***********************************************
2024-05-15T23:45:54.2620875Z Using device=cuda
2024-05-15T23:45:54.2621262Z Loading model...
2024-05-15T23:45:54.2622624Z Time to load model: 1.77 seconds
2024-05-15T23:45:54.2623486Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 0, 'packed': 'True'}}
2024-05-15T23:45:54.2624395Z Time to quantize model: 0.05 seconds
2024-05-15T23:45:54.2625181Z Exporting model using AOT Inductor to /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-05-15T23:45:54.2626671Z The generated DSO model can be found at: /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-05-15T23:45:54.2627720Z Time for inference 1: 1.01 sec total, 198.16 tokens/sec
2024-05-15T23:45:54.2628252Z Bandwidth achieved: 9.67 GB/s
2024-05-15T23:45:54.2628939Z *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-05-15T23:45:54.2630247Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:45:54.2631135Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:45:54.2631781Z Using device=cuda NVIDIA A10G
2024-05-15T23:45:54.2632161Z Loading model...
2024-05-15T23:45:54.2632475Z Time to load model: 0.14 seconds
2024-05-15T23:45:54.2633395Z Hello, my name is Lily. I am a very special girl. I have a special gift for you. It is a big, red ball. Do you want to play with it?"
2024-05-15T23:45:54.2635326Z Lily was very happy. She said, "Yes, please! Thank you, Mommy!" She took the ball and ran to the living room. She saw her brother Tom playing with his cars. She said, "Tom, can I play with your cars? I have a big, red ball. It is very nice."
2024-05-15T23:45:54.2638004Z Tom said, "No, Lily. This is my ball. You can't play with it. Go away." He pushed Lily away. Lily felt sad and angry. She said, "That is not nice, Tom. You are being mean. I don't want to play with you. I want to play with my ball."
2024-05-15T23:45:54.2639826Z She ran to her mom and told her what Tom said. Her mom said, "Tom, that is not
2024-05-15T23:45:54.2640565Z [Max Sequence Length Reached. Ending Conversation.]
2024-05-15T23:45:54.2641171Z ---------------------------------------------------
2024-05-15T23:45:54.2641482Z 
2024-05-15T23:45:54.2641635Z ========================================
2024-05-15T23:45:54.2641929Z 
2024-05-15T23:45:54.2642064Z Average tokens/sec: 198.16
2024-05-15T23:45:54.2642417Z Memory used: 0.14 GB
2024-05-15T23:45:54.2642913Z ***********************************************
2024-05-15T23:45:54.2643494Z ******** Emb: 4bit group-wise quantized *******
2024-05-15T23:45:54.2643931Z ***********************************************
2024-05-15T23:45:54.2644388Z Using device=cuda
2024-05-15T23:45:54.2644685Z Loading model...
2024-05-15T23:45:54.2645032Z Time to load model: 1.77 seconds
2024-05-15T23:45:54.2645762Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 8, 'packed': 'True'}}
2024-05-15T23:45:54.2646471Z Time to quantize model: 0.05 seconds
2024-05-15T23:45:54.2647232Z Exporting model using AOT Inductor to /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-05-15T23:45:54.2648391Z The generated DSO model can be found at: /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-05-15T23:45:54.2649254Z Time for inference 1: 1.01 sec total, 197.97 tokens/sec
2024-05-15T23:45:54.2649733Z Bandwidth achieved: 9.66 GB/s
2024-05-15T23:45:54.2650446Z *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-05-15T23:45:54.2651387Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:45:54.2652248Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:45:54.2652907Z Using device=cuda NVIDIA A10G
2024-05-15T23:45:54.2653318Z Loading model...
2024-05-15T23:45:54.2653636Z Time to load model: 0.15 seconds
2024-05-15T23:45:54.2654266Z Hello, my name is Daisy. Daisy is three years old. She loves to play with her toys.
2024-05-15T23:45:54.2655322Z One day, Daisy's mommy said, "Daisy, it's time to go to the store." Daisy was excited and said, "Yes, mommy!"
2024-05-15T23:45:54.2656625Z Daisy and her mommy went to the store. Daisy saw a big, red ball. She wanted it so much. She asked her mommy, "Can I have the ball, please?"
2024-05-15T23:45:54.2657785Z Mommy said, "No, Daisy. We don't have enough money for that ball." Daisy was sad.
2024-05-15T23:45:54.2658662Z Daisy and her mommy went home. Daisy was still sad. She wanted the ball so much.
2024-05-15T23:45:54.2659620Z Daisy's mommy said, "Daisy, if you want the ball, you can have it. But you have to be careful."
2024-05-15T23:45:54.2660272Z Dais
2024-05-15T23:45:54.2660607Z [Max Sequence Length Reached. Ending Conversation.]
2024-05-15T23:45:54.2661150Z ---------------------------------------------------
2024-05-15T23:45:54.2661463Z 
2024-05-15T23:45:54.2661596Z ========================================
2024-05-15T23:45:54.2661934Z 
2024-05-15T23:45:54.2662061Z Average tokens/sec: 197.97
2024-05-15T23:45:54.2662408Z Memory used: 0.14 GB
2024-05-15T23:45:54.2662736Z ******************************************
2024-05-15T23:45:54.2663215Z ******* INT8 channel-wise quantized ******
2024-05-15T23:45:54.2663641Z ******************************************
2024-05-15T23:45:54.2664034Z Using device=cuda
2024-05-15T23:45:54.2664328Z Loading model...
2024-05-15T23:45:54.2664647Z Time to load model: 1.77 seconds
2024-05-15T23:45:54.2665274Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 0}}
2024-05-15T23:45:54.2665869Z Time to quantize model: 0.06 seconds
2024-05-15T23:45:54.2666639Z Exporting model using AOT Inductor to /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-05-15T23:45:54.2667690Z The generated DSO model can be found at: /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-05-15T23:45:54.2668499Z Time for inference 1: 1.04 sec total, 192.08 tokens/sec
2024-05-15T23:45:54.2669283Z Bandwidth achieved: 9.38 GB/s
2024-05-15T23:45:54.2670148Z *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-05-15T23:45:54.2671035Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:45:54.2671844Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:45:54.2672453Z Using device=cuda NVIDIA A10G
2024-05-15T23:45:54.2672808Z Loading model...
2024-05-15T23:45:54.2673224Z Time to load model: 0.14 seconds
2024-05-15T23:45:54.2674345Z 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.
2024-05-15T23:45:54.2676230Z 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. She slides down. She laughs.
2024-05-15T23:45:54.2678318Z Daisy sees a boy. He is playing with a ball. He throws the ball to Daisy. Daisy runs to the ball. She picks it up. She throws it back to the boy. The boy catches the ball. He throws it back to Daisy. They play together. They have fun.
2024-05-15T23:45:54.2679725Z Daisy and the boy are friends. They like to play at
2024-05-15T23:45:54.2680267Z [Max Sequence Length Reached. Ending Conversation.]
2024-05-15T23:45:54.2680803Z ---------------------------------------------------
2024-05-15T23:45:54.2681103Z 
2024-05-15T23:45:54.2681233Z ========================================
2024-05-15T23:45:54.2681510Z 
2024-05-15T23:45:54.2681632Z Average tokens/sec: 192.08
2024-05-15T23:45:54.2681977Z Memory used: 0.16 GB
2024-05-15T23:45:54.2682354Z ******************************************
2024-05-15T23:45:54.2682836Z ******** INT8 group-wise quantized *******
2024-05-15T23:45:54.2683257Z ******************************************
2024-05-15T23:45:54.2683635Z Using device=cuda
2024-05-15T23:45:54.2683933Z Loading model...
2024-05-15T23:45:54.2684248Z Time to load model: 1.78 seconds
2024-05-15T23:45:54.2684860Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 8}}
2024-05-15T23:45:54.2685454Z Time to quantize model: 0.06 seconds
2024-05-15T23:45:54.2686174Z Exporting model using AOT Inductor to /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-05-15T23:45:54.2687214Z The generated DSO model can be found at: /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-05-15T23:45:54.2688031Z Time for inference 1: 1.04 sec total, 191.73 tokens/sec
2024-05-15T23:45:54.2688516Z Bandwidth achieved: 9.36 GB/s
2024-05-15T23:45:54.2689159Z *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-05-15T23:45:54.2690053Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:45:54.2690863Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:45:54.2691479Z Using device=cuda NVIDIA A10G
2024-05-15T23:45:54.2691833Z Loading model...
2024-05-15T23:45:54.2692146Z Time to load model: 0.14 seconds
2024-05-15T23:45:54.2693255Z 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.
2024-05-15T23:45:54.2695234Z 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!"
2024-05-15T23:45:54.2697607Z Daisy goes on the slide again and again. She has so much fun. She sees her mommy and daddy. They are happy to see her. They say, "Good job, Daisy!" Daisy is happy too. She loves to play at the park. Once upon a time, there was a little girl named Lily. She loved to
2024-05-15T23:45:54.2699142Z [Max Sequence Length Reached. Ending Conversation.]
2024-05-15T23:45:54.2699679Z ---------------------------------------------------
2024-05-15T23:45:54.2700092Z 
2024-05-15T23:45:54.2700215Z ========================================
2024-05-15T23:45:54.2700488Z 
2024-05-15T23:45:54.2700613Z Average tokens/sec: 191.73
2024-05-15T23:45:54.2700956Z Memory used: 0.16 GB
2024-05-15T23:45:54.2701270Z ******************************************
2024-05-15T23:45:54.2701738Z ******** INT4 group-wise quantized *******
2024-05-15T23:45:54.2702163Z ******************************************
2024-05-15T23:45:54.2702541Z Using device=cuda
2024-05-15T23:45:54.2702832Z Loading model...
2024-05-15T23:45:54.2703224Z Time to load model: 1.77 seconds
2024-05-15T23:45:54.2703794Z Quantizing the model with: {'linear:int4-gptq': {'groupsize': 32}}
2024-05-15T23:45:54.2704633Z Note: NumExpr detected 16 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 8.
2024-05-15T23:45:54.2705330Z NumExpr defaulting to 8 threads.
2024-05-15T23:45:54.2705767Z PyTorch version 2.4.0.dev20240507+cu121 available.
2024-05-15T23:45:54.2706105Z 
2024-05-15T23:45:54.2706355Z Downloading builder script:   0% 0.00/5.67k [00:00<?, ?B/s]
2024-05-15T23:45:54.2706991Z Downloading builder script: 100% 5.67k/5.67k [00:00<00:00, 38.5MB/s]
2024-05-15T23:45:54.2707512Z device: cuda
2024-05-15T23:45:54.2708601Z Detected kernel version 4.14.336, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
2024-05-15T23:45:54.2710067Z Using device 'cuda'
2024-05-15T23:45:54.2710281Z 
2024-05-15T23:45:54.2710440Z config.json:   0% 0.00/665 [00:00<?, ?B/s]
2024-05-15T23:47:31.1433060Z config.json: 100% 665/665 [00:00<00:00, 11.4MB/s]
2024-05-15T23:47:31.1433435Z 
2024-05-15T23:47:31.1434017Z model.safetensors:   0% 0.00/548M [00:00<?, ?B/s]
2024-05-15T23:47:31.1434551Z model.safetensors:   8% 41.9M/548M [00:00<00:01, 413MB/s]
2024-05-15T23:47:31.1435199Z model.safetensors:  17% 94.4M/548M [00:00<00:00, 458MB/s]
2024-05-15T23:47:31.1438073Z model.safetensors:  27% 147M/548M [00:00<00:00, 446MB/s] 
2024-05-15T23:47:31.1438767Z model.safetensors:  36% 199M/548M [00:00<00:00, 427MB/s]
2024-05-15T23:47:31.1439443Z model.safetensors:  46% 252M/548M [00:00<00:00, 431MB/s]
2024-05-15T23:47:31.1440174Z model.safetensors:  55% 304M/548M [00:00<00:00, 415MB/s]
2024-05-15T23:47:31.1440828Z model.safetensors:  63% 346M/548M [00:00<00:00, 405MB/s]
2024-05-15T23:47:31.1441436Z model.safetensors:  73% 398M/548M [00:00<00:00, 418MB/s]
2024-05-15T23:47:31.1442054Z model.safetensors:  84% 461M/548M [00:01<00:00, 457MB/s]
2024-05-15T23:47:31.1442634Z model.safetensors:  94% 514M/548M [00:01<00:00, 431MB/s]
2024-05-15T23:47:31.1443199Z model.safetensors: 100% 548M/548M [00:01<00:00, 427MB/s]
2024-05-15T23:47:31.1443664Z 
2024-05-15T23:47:31.1443925Z generation_config.json:   0% 0.00/124 [00:00<?, ?B/s]
2024-05-15T23:47:31.1444524Z generation_config.json: 100% 124/124 [00:00<00:00, 2.36MB/s]
2024-05-15T23:47:31.1445031Z 
2024-05-15T23:47:31.1445331Z tokenizer_config.json:   0% 0.00/26.0 [00:00<?, ?B/s]
2024-05-15T23:47:31.1446106Z tokenizer_config.json: 100% 26.0/26.0 [00:00<00:00, 522kB/s]
2024-05-15T23:47:31.1446640Z 
2024-05-15T23:47:31.1446846Z vocab.json:   0% 0.00/1.04M [00:00<?, ?B/s]
2024-05-15T23:47:31.1447339Z vocab.json: 100% 1.04M/1.04M [00:00<00:00, 15.0MB/s]
2024-05-15T23:47:31.1447672Z 
2024-05-15T23:47:31.1447826Z merges.txt:   0% 0.00/456k [00:00<?, ?B/s]
2024-05-15T23:47:31.1448287Z merges.txt: 100% 456k/456k [00:00<00:00, 39.4MB/s]
2024-05-15T23:47:31.1448624Z 
2024-05-15T23:47:31.1448849Z tokenizer.json:   0% 0.00/1.36M [00:00<?, ?B/s]
2024-05-15T23:47:31.1449577Z tokenizer.json: 100% 1.36M/1.36M [00:00<00:00, 31.3MB/s]
2024-05-15T23:47:31.1450523Z [Task: wikitext] metric word_perplexity is defined, but aggregation is not. using default aggregation=weighted_perplexity
2024-05-15T23:47:31.1451704Z [Task: wikitext] metric word_perplexity is defined, but higher_is_better is not. using default higher_is_better=False
2024-05-15T23:47:31.1453229Z [Task: wikitext] metric byte_perplexity is defined, but aggregation is not. using default aggregation=weighted_perplexity
2024-05-15T23:47:31.1454816Z [Task: wikitext] metric byte_perplexity is defined, but higher_is_better is not. using default higher_is_better=False
2024-05-15T23:47:31.1456249Z [Task: wikitext] metric bits_per_byte is defined, but aggregation is not. using default aggregation=bits_per_byte
2024-05-15T23:47:31.1457375Z [Task: wikitext] metric bits_per_byte is defined, but higher_is_better is not. using default higher_is_better=False
2024-05-15T23:47:31.1458016Z 
2024-05-15T23:47:31.1458378Z Downloading builder script:   0% 0.00/10.7k [00:00<?, ?B/s]
2024-05-15T23:47:31.1459024Z Downloading builder script: 100% 10.7k/10.7k [00:00<00:00, 60.8MB/s]
2024-05-15T23:47:31.1459464Z 
2024-05-15T23:47:31.1459720Z Downloading readme:   0% 0.00/7.78k [00:00<?, ?B/s]
2024-05-15T23:47:31.1460433Z Downloading readme: 100% 7.78k/7.78k [00:00<00:00, 72.9MB/s]
2024-05-15T23:47:31.1461225Z Repo card metadata block was not found. Setting CardData to empty.
2024-05-15T23:47:31.1461947Z Repo card metadata block was not found. Setting CardData to empty.
2024-05-15T23:47:31.1462384Z 
2024-05-15T23:47:31.1462561Z Downloading data:   0% 0.00/4.72M [00:00<?, ?B/s]
2024-05-15T23:47:31.1463098Z Downloading data: 100% 4.72M/4.72M [00:00<00:00, 66.4MB/s]
2024-05-15T23:47:31.1463454Z 
2024-05-15T23:47:31.1463675Z Generating test split: 0 examples [00:00, ? examples/s]
2024-05-15T23:47:31.1464270Z Generating test split: 62 examples [00:00, 4001.27 examples/s]
2024-05-15T23:47:31.1464669Z 
2024-05-15T23:47:31.1464894Z Generating train split: 0 examples [00:00, ? examples/s]
2024-05-15T23:47:31.1465509Z Generating train split: 629 examples [00:00, 4942.64 examples/s]
2024-05-15T23:47:31.1465905Z 
2024-05-15T23:47:31.1466151Z Generating validation split: 0 examples [00:00, ? examples/s]
2024-05-15T23:47:31.1466817Z Generating validation split: 60 examples [00:00, 5582.48 examples/s]
2024-05-15T23:47:31.1467592Z Obtaining GPTQ calibration inputs on:  ['wikitext']
2024-05-15T23:47:31.1468092Z Building contexts for task on rank 0...
2024-05-15T23:47:31.1468542Z Running loglikelihood_rolling requests
2024-05-15T23:47:31.1468838Z 
2024-05-15T23:47:31.1468956Z   0% 0/10 [00:00<?, ?it/s]
2024-05-15T23:47:31.1469445Z  10% 1/10 [00:00<00:00,  9.16it/s]
2024-05-15T23:47:31.1469804Z  40% 4/10 [00:00<00:00, 20.15it/s]
2024-05-15T23:47:31.1470540Z  70% 7/10 [00:00<00:00, 23.46it/s]
2024-05-15T23:47:31.1470915Z 100% 10/10 [00:00<00:00, 24.49it/s]
2024-05-15T23:47:31.1471410Z 100% 10/10 [00:00<00:00, 22.64it/s]
2024-05-15T23:47:31.1475052Z Obtained 596 calibration samples
2024-05-15T23:47:31.1475724Z Tracing model for GPTQ
2024-05-15T23:47:31.1478530Z Applying GPTQ to weights
2024-05-15T23:47:31.1478971Z layers.0.attention.wq
2024-05-15T23:47:31.1479411Z layers.0.attention.wk
2024-05-15T23:47:31.1479780Z layers.0.attention.wv
2024-05-15T23:47:31.1480089Z layers.0.attention.wo
2024-05-15T23:47:31.1480412Z layers.0.feed_forward.w1
2024-05-15T23:47:31.1480751Z layers.0.feed_forward.w3
2024-05-15T23:47:31.1481073Z layers.0.feed_forward.w2
2024-05-15T23:47:31.1481408Z layers.1.attention.wq
2024-05-15T23:47:31.1481725Z layers.1.attention.wk
2024-05-15T23:47:31.1482035Z layers.1.attention.wv
2024-05-15T23:47:31.1482350Z layers.1.attention.wo
2024-05-15T23:47:31.1482670Z layers.1.feed_forward.w1
2024-05-15T23:47:31.1482993Z layers.1.feed_forward.w3
2024-05-15T23:47:31.1483322Z layers.1.feed_forward.w2
2024-05-15T23:47:31.1483649Z layers.2.attention.wq
2024-05-15T23:47:31.1483957Z layers.2.attention.wk
2024-05-15T23:47:31.1484273Z layers.2.attention.wv
2024-05-15T23:47:31.1484602Z layers.2.attention.wo
2024-05-15T23:47:31.1484915Z layers.2.feed_forward.w1
2024-05-15T23:47:31.1485248Z layers.2.feed_forward.w3
2024-05-15T23:47:31.1485572Z layers.2.feed_forward.w2
2024-05-15T23:47:31.1485902Z layers.3.attention.wq
2024-05-15T23:47:31.1486220Z layers.3.attention.wk
2024-05-15T23:47:31.1486532Z layers.3.attention.wv
2024-05-15T23:47:31.1486851Z layers.3.attention.wo
2024-05-15T23:47:31.1487172Z layers.3.feed_forward.w1
2024-05-15T23:47:31.1487669Z layers.3.feed_forward.w3
2024-05-15T23:47:31.1488000Z layers.3.feed_forward.w2
2024-05-15T23:47:31.1488330Z layers.4.attention.wq
2024-05-15T23:47:31.1488642Z layers.4.attention.wk
2024-05-15T23:47:31.1488966Z layers.4.attention.wv
2024-05-15T23:47:31.1489285Z layers.4.attention.wo
2024-05-15T23:47:31.1489598Z layers.4.feed_forward.w1
2024-05-15T23:47:31.1489937Z layers.4.feed_forward.w3
2024-05-15T23:47:31.1490269Z layers.4.feed_forward.w2
2024-05-15T23:47:31.1490591Z layers.5.attention.wq
2024-05-15T23:47:31.1490910Z layers.5.attention.wk
2024-05-15T23:47:31.1491325Z layers.5.attention.wv
2024-05-15T23:47:31.1491637Z layers.5.attention.wo
2024-05-15T23:47:31.1491954Z layers.5.feed_forward.w1
2024-05-15T23:47:31.1492282Z layers.5.feed_forward.w3
2024-05-15T23:47:31.1492604Z layers.5.feed_forward.w2
2024-05-15T23:47:31.1492919Z output
2024-05-15T23:47:31.1493202Z Time to quantize model: 47.74 seconds
2024-05-15T23:47:31.1493922Z Exporting model using AOT Inductor to /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-05-15T23:47:31.1494992Z The generated DSO model can be found at: /pytorch/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-05-15T23:47:31.1495805Z Time for inference 1: 0.97 sec total, 205.18 tokens/sec
2024-05-15T23:47:31.1496285Z Bandwidth achieved: 10.02 GB/s
2024-05-15T23:47:31.1496940Z *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-05-15T23:47:31.1497829Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:47:31.1498654Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:47:31.1499265Z Using device=cuda NVIDIA A10G
2024-05-15T23:47:31.1499617Z Loading model...
2024-05-15T23:47:31.1499927Z Time to load model: 0.14 seconds
2024-05-15T23:47:31.1500819Z Hello, my name is Daisy. Daisy is a very special person. She has a special job. She helps people with their problems. She is very independent.
2024-05-15T23:47:31.1502414Z One day, Daisy is walking in the park. She sees a little girl with a red balloon. The balloon is very pretty. The little girl sees Daisy and smiles. She wants to play with Daisy.
2024-05-15T23:47:31.1504086Z Daisy sees the little girl and the balloon. She wants to play with the balloon too. She runs to the little girl and says, "Hi, I am Daisy. Can I play with you?"
2024-05-15T23:47:31.1505830Z The little girl looks at Daisy and the balloon. She sees Daisy's big red balloon. She says, "No, Daisy. This is Daisy. She is not for playing. She is for looking."
2024-05-15T23:47:31.1506858Z Daisy is sad. She does not understand
2024-05-15T23:47:31.1507339Z [Max Sequence Length Reached. Ending Conversation.]
2024-05-15T23:47:31.1507873Z ---------------------------------------------------
2024-05-15T23:47:31.1508181Z 
2024-05-15T23:47:31.1508304Z ========================================
2024-05-15T23:47:31.1508579Z 
2024-05-15T23:47:31.1508713Z Average tokens/sec: 205.18
2024-05-15T23:47:31.1509057Z Memory used: 0.14 GB
2024-05-15T23:47:31.1509503Z + echo ::endgroup::
2024-05-15T23:47:31.1510465Z ##[endgroup]
2024-05-15T23:47:31.1510943Z + echo '::group::Run inference with quantize file'
2024-05-15T23:47:31.1511661Z ##[group]Run inference with quantize file
2024-05-15T23:47:31.1512083Z ++ uname -s
2024-05-15T23:47:31.1512390Z + '[' Linux == Darwin ']'
2024-05-15T23:47:31.1512726Z + echo ::endgroup::
2024-05-15T23:47:31.1513228Z ##[endgroup]
2024-05-15T23:47:31.1557352Z ##[group]Run pmeier/pytest-results-action@v0.3.0
2024-05-15T23:47:31.1557807Z with:
2024-05-15T23:47:31.1558234Z   path: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:47:31.1559121Z   fail-on-empty: false
2024-05-15T23:47:31.1559433Z env:
2024-05-15T23:47:31.1559761Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:47:31.1560224Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:47:31.1560592Z   PR_NUMBER: 804
2024-05-15T23:47:31.1578083Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:47:31.1585264Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:47:31.1586050Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:47:31.1586783Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:47:31.1587390Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:47:31.1587876Z ##[endgroup]
2024-05-15T23:47:31.2204528Z Prepare all required actions
2024-05-15T23:47:31.2238070Z ##[group]Run ./test-infra/.github/actions/chown-directory
2024-05-15T23:47:31.2238561Z with:
2024-05-15T23:47:31.2239002Z   directory: /home/ec2-user/actions-runner/_work/torchchat/torchchat/
2024-05-15T23:47:31.2239736Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2024-05-15T23:47:31.2240293Z env:
2024-05-15T23:47:31.2240619Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:47:31.2241073Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:47:31.2241454Z   PR_NUMBER: 804
2024-05-15T23:47:31.2247934Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:47:31.2254936Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:47:31.2255707Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:47:31.2256436Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:47:31.2257182Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:47:31.2257663Z ##[endgroup]
2024-05-15T23:47:31.2276408Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2024-05-15T23:47:31.2277368Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2024-05-15T23:47:31.2285500Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:47:31.2285996Z env:
2024-05-15T23:47:31.2286323Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:47:31.2286785Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:47:31.2287167Z   PR_NUMBER: 804
2024-05-15T23:47:31.2293757Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:47:31.2300778Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:47:31.2301546Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:47:31.2302269Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:47:31.2302888Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:47:31.2303541Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2024-05-15T23:47:31.2304275Z   DIRECTORY: /home/ec2-user/actions-runner/_work/torchchat/torchchat/
2024-05-15T23:47:31.2304820Z ##[endgroup]
2024-05-15T23:47:31.2497797Z Unable to find image '308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest' locally
2024-05-15T23:47:31.4636705Z latest: Pulling from tool/alpine
2024-05-15T23:47:31.4637132Z 540db60ca938: Pulling fs layer
2024-05-15T23:47:31.5625725Z 540db60ca938: Verifying Checksum
2024-05-15T23:47:31.5626209Z 540db60ca938: Download complete
2024-05-15T23:47:31.7376220Z 540db60ca938: Pull complete
2024-05-15T23:47:31.7827509Z Digest: sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748
2024-05-15T23:47:31.7963230Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest
2024-05-15T23:47:34.3138485Z Prepare all required actions
2024-05-15T23:47:34.3171506Z ##[group]Run ./test-infra/.github/actions/chown-directory
2024-05-15T23:47:34.3171984Z with:
2024-05-15T23:47:34.3172427Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2024-05-15T23:47:34.3172963Z env:
2024-05-15T23:47:34.3173277Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:47:34.3173733Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:47:34.3174097Z   PR_NUMBER: 804
2024-05-15T23:47:34.3180597Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:47:34.3187765Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:47:34.3188535Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:47:34.3189383Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:47:34.3190229Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:47:34.3190706Z ##[endgroup]
2024-05-15T23:47:34.3207676Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2024-05-15T23:47:34.3208636Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2024-05-15T23:47:34.3216803Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:47:34.3217298Z env:
2024-05-15T23:47:34.3217609Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:47:34.3218066Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:47:34.3218437Z   PR_NUMBER: 804
2024-05-15T23:47:34.3225023Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:47:34.3232307Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:47:34.3233073Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:47:34.3233787Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:47:34.3234393Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:47:34.3235145Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2024-05-15T23:47:34.3235699Z   DIRECTORY: 
2024-05-15T23:47:34.3235975Z ##[endgroup]
2024-05-15T23:47:35.0199676Z ##[group]Run # Only do these steps if we actually want to upload an artifact
2024-05-15T23:47:35.0200665Z # Only do these steps if we actually want to upload an artifact
2024-05-15T23:47:35.0201299Z if [[ -n "${UPLOAD_ARTIFACT_NAME}" ]]; then
2024-05-15T23:47:35.0202067Z   # If the default execution path is followed then we should get a wheel in the dist/ folder
2024-05-15T23:47:35.0202941Z   # attempt to just grab whatever is in there and scoop it all up
2024-05-15T23:47:35.0203662Z   if find "dist/" -name "*.whl" >/dev/null 2>/dev/null; then
2024-05-15T23:47:35.0204276Z     mv -v dist/*.whl "${RUNNER_ARTIFACT_DIR}/"
2024-05-15T23:47:35.0204740Z   fi
2024-05-15T23:47:35.0205123Z   if [[ -d "artifacts-to-be-uploaded" ]]; then
2024-05-15T23:47:35.0205784Z     mv -v artifacts-to-be-uploaded/* "${RUNNER_ARTIFACT_DIR}/"
2024-05-15T23:47:35.0206335Z   fi
2024-05-15T23:47:35.0206947Z   # Set to fail upload step if there are no files for upload and expected files for upload
2024-05-15T23:47:35.0207764Z   echo 'if-no-files-found=error' >> "${GITHUB_OUTPUT}"
2024-05-15T23:47:35.0208272Z fi
2024-05-15T23:47:35.0208543Z 
2024-05-15T23:47:35.0208835Z upload_docs=0
2024-05-15T23:47:35.0209405Z # Check if there are files in the documentation folder to upload, note that
2024-05-15T23:47:35.0210056Z # empty folders do not count
2024-05-15T23:47:35.0210672Z if find "${RUNNER_DOCS_DIR}" -mindepth 1 -maxdepth 1 -type f | read -r; then
2024-05-15T23:47:35.0211529Z   # TODO: Add a check here to test if on ec2 because if we're not on ec2 then this
2024-05-15T23:47:35.0212256Z   # upload will probably not work correctly
2024-05-15T23:47:35.0212728Z   upload_docs=1
2024-05-15T23:47:35.0213064Z fi
2024-05-15T23:47:35.0213493Z echo "upload-docs=${upload_docs}" >> "${GITHUB_OUTPUT}"
2024-05-15T23:47:35.0221270Z shell: /usr/bin/bash -e {0}
2024-05-15T23:47:35.0221614Z env:
2024-05-15T23:47:35.0221939Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:47:35.0222386Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:47:35.0222761Z   PR_NUMBER: 804
2024-05-15T23:47:35.0229302Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:47:35.0236433Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:47:35.0237201Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:47:35.0238049Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:47:35.0238737Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:47:35.0239232Z   UPLOAD_ARTIFACT_NAME: 
2024-05-15T23:47:35.0239568Z ##[endgroup]
2024-05-15T23:47:35.0334334Z Prepare all required actions
2024-05-15T23:47:35.0370360Z ##[group]Run ./test-infra/.github/actions/teardown-linux
2024-05-15T23:47:35.0370836Z with:
2024-05-15T23:47:35.0371096Z env:
2024-05-15T23:47:35.0371413Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:47:35.0371880Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:47:35.0372265Z   PR_NUMBER: 804
2024-05-15T23:47:35.0378759Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:47:35.0385826Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:47:35.0386600Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:47:35.0387320Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:47:35.0387941Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:47:35.0388417Z ##[endgroup]
2024-05-15T23:47:35.0407629Z ##[group]Run set -eou pipefail
2024-05-15T23:47:35.0408028Z set -eou pipefail
2024-05-15T23:47:35.0408371Z 
2024-05-15T23:47:35.0408865Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2024-05-15T23:47:35.0409479Z for _ in $(seq 1440); do
2024-05-15T23:47:35.0409940Z     # Break if no ssh session exists anymore
2024-05-15T23:47:35.0410421Z     if [ "$(who)" = "" ]; then
2024-05-15T23:47:35.0410819Z       break
2024-05-15T23:47:35.0411126Z     fi
2024-05-15T23:47:35.0411412Z     echo "."
2024-05-15T23:47:35.0411730Z     sleep 5
2024-05-15T23:47:35.0412034Z done
2024-05-15T23:47:35.0419552Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:47:35.0420034Z env:
2024-05-15T23:47:35.0420348Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:47:35.0420800Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:47:35.0421175Z   PR_NUMBER: 804
2024-05-15T23:47:35.0427785Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:47:35.0435202Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:47:35.0435977Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:47:35.0436699Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:47:35.0437309Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:47:35.0437780Z ##[endgroup]
2024-05-15T23:47:35.0456856Z Holding runner for 2 hours until all ssh sessions have logged out
2024-05-15T23:47:35.0492052Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2024-05-15T23:47:35.0492804Z # ignore expansion of "docker ps -q" since it could be empty
2024-05-15T23:47:35.0493387Z # shellcheck disable=SC2046
2024-05-15T23:47:35.0493845Z docker stop $(docker ps -q) || true
2024-05-15T23:47:35.0494314Z # Prune all of the docker images
2024-05-15T23:47:35.0494761Z docker system prune -af
2024-05-15T23:47:35.0501592Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:47:35.0502086Z env:
2024-05-15T23:47:35.0502406Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:47:35.0502852Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:47:35.0503226Z   PR_NUMBER: 804
2024-05-15T23:47:35.0510388Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:47:35.0518704Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:47:35.0519554Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:47:35.0520271Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:47:35.0520886Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:47:35.0521490Z ##[endgroup]
2024-05-15T23:47:45.3888019Z 4f78ed148409
2024-05-15T23:47:47.1849311Z Deleted Containers:
2024-05-15T23:47:47.1849919Z 4f78ed148409e0bb21609703b6de8423328d1febd77d3f4e8f1aa202fb6b080f
2024-05-15T23:47:47.1850347Z 
2024-05-15T23:47:50.0442193Z Deleted Images:
2024-05-15T23:47:50.0443091Z untagged: pytorch/conda-builder:cuda12.1
2024-05-15T23:47:50.0444488Z untagged: pytorch/conda-builder@sha256:91def7add5f9900a7cd9149cc9f4eacc6da0cd662e43866d43deee758068d79c
2024-05-15T23:47:50.0445803Z deleted: sha256:9ef9c5604a4bf5495a928dfca5f431351fcf74e34e3d084c86e642f278a4ae38
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2024-05-15T23:47:50.0464369Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest
2024-05-15T23:47:50.0465897Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine@sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748
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2024-05-15T23:47:50.0468342Z 
2024-05-15T23:47:50.0468487Z Total reclaimed space: 24.65GB
2024-05-15T23:47:50.0511948Z ##[group]Run set +e
2024-05-15T23:47:50.0512295Z set +e
2024-05-15T23:47:50.0512641Z if [[ "${NO_SUDO}" == "false" ]]; then
2024-05-15T23:47:50.0513207Z   sudo rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2024-05-15T23:47:50.0513709Z else
2024-05-15T23:47:50.0514099Z   rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2024-05-15T23:47:50.0514560Z fi
2024-05-15T23:47:50.0514985Z set -e
2024-05-15T23:47:50.0522447Z shell: /usr/bin/bash -e {0}
2024-05-15T23:47:50.0522792Z env:
2024-05-15T23:47:50.0523110Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:47:50.0523551Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:47:50.0523922Z   PR_NUMBER: 804
2024-05-15T23:47:50.0531955Z   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
pip 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-float16"
echo "::endgroup::"

echo "::group::Run inference with quantize file"
if [ $(uname -s) == Darwin ]; then
  python3 export.py --output-dso-path /tmp/model.so --quantize config/data/cuda.json --checkpoint "./checkpoints/${REPO_NAME}/model.pth"
     python3 generate.py --dso-path /tmp/model.so --checkpoint "./checkpoints/${REPO_NAME}/model.pth"~
fi
echo "::endgroup::"

2024-05-15T23:47:50.0538980Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:47:50.0539749Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:47:50.0540461Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:47:50.0541077Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:47:50.0541548Z   NO_SUDO: false
2024-05-15T23:47:50.0541846Z ##[endgroup]
2024-05-15T23:47:50.2016001Z Post job cleanup.
2024-05-15T23:47:50.2880289Z Post job cleanup.
2024-05-15T23:47:50.3690059Z [command]/usr/bin/git version
2024-05-15T23:47:50.3723296Z git version 2.40.1
2024-05-15T23:47:50.3760859Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/236d176b-963c-449b-a87b-c0ff0709ed74' before making global git config changes
2024-05-15T23:47:50.3762293Z Adding repository directory to the temporary git global config as a safe directory
2024-05-15T23:47:50.3766835Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra
2024-05-15T23:47:50.3799748Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2024-05-15T23:47:50.3827618Z [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' || :"
2024-05-15T23:47:50.4023587Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2024-05-15T23:47:50.4044088Z http.https://github.com/.extraheader
2024-05-15T23:47:50.4052476Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2024-05-15T23:47:50.4079272Z [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' || :"
2024-05-15T23:47:50.4482890Z Cleaning up orphan processes