2024-08-22T20:39:56.0585440Z Current runner version: '2.319.1' 2024-08-22T20:39:56.0588780Z Runner name: 'i-0a9e8849407c7d4f8' 2024-08-22T20:39:56.0589230Z Runner group name: 'Default' 2024-08-22T20:39:56.0589810Z Machine name: 'ip-10-0-1-7' 2024-08-22T20:39:56.0598950Z Testing runner upgrade compatibility 2024-08-22T20:39:56.4877070Z ##[group]GITHUB_TOKEN Permissions 2024-08-22T20:39:56.4908050Z Contents: read 2024-08-22T20:39:56.4908390Z Metadata: read 2024-08-22T20:39:56.4908700Z Packages: read 2024-08-22T20:39:56.4909010Z ##[endgroup] 2024-08-22T20:39:56.4910880Z Secret source: Actions 2024-08-22T20:39:56.4911330Z Prepare workflow directory 2024-08-22T20:39:56.5730740Z Prepare all required actions 2024-08-22T20:39:56.5830180Z Getting action download info 2024-08-22T20:39:56.7853520Z Download action repository 'actions/checkout@v3' (SHA:f43a0e5ff2bd294095638e18286ca9a3d1956744) 2024-08-22T20:39:57.0221990Z Download action repository 'actions/download-artifact@v3' (SHA:9bc31d5ccc31df68ecc42ccf4149144866c47d8a) 2024-08-22T20:39:57.2442870Z Download action repository 'pmeier/pytest-results-action@v0.3.0' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1) 2024-08-22T20:39:57.4371870Z Download action repository 'actions/upload-artifact@v3' (SHA:a8a3f3ad30e3422c9c7b888a15615d19a852ae32) 2024-08-22T20:39:57.7378070Z Uses: pytorch/test-infra/.github/workflows/macos_job.yml@refs/heads/main (6dab351bed7d1c647665a8b8e883ec5b1c973feb) 2024-08-22T20:39:57.7379470Z ##[group] Inputs 2024-08-22T20:39:57.7385880Z script: set -x # NS/MC: Remove previous installation of torch and torchao first # as this script does not install anything into conda env but rather as system dep pip3 uninstall -y torch || true set -eou pipefail pip3 uninstall -y torchao || true set -eou pipefail echo "::group::Print machine info" uname -a sysctl machdep.cpu.brand_string sysctl machdep.cpu.core_count echo "::endgroup::" echo "::group::Install requirements" # Install requirements ./install_requirements.sh ls -la pwd pip3 list python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")' echo "::endgroup::" echo "::group::Download checkpoints" ( mkdir -p checkpoints/stories15M pushd checkpoints/stories15M curl -fsSL -O https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt curl -fsSL -O https://github.com/karpathy/llama2.c/raw/master/tokenizer.model popd ) echo "::endgroup::" echo "::group::Run inference" export MODEL_PATH=checkpoints/stories15M/stories15M.pt export MODEL_NAME=stories15M export MODEL_DIR=/tmp for DTYPE in float16 float32; do # if [ $(uname -s) == Darwin ]; then # export DTYPE=float16 # fi python3 torchchat.py generate --dtype ${DTYPE} --device mps --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 done 2024-08-22T20:39:57.7392660Z timeout: 30 2024-08-22T20:39:57.7392830Z runner: macos-m1-stable 2024-08-22T20:39:57.7393020Z upload-artifact: 2024-08-22T20:39:57.7393200Z download-artifact: 2024-08-22T20:39:57.7393370Z repository: 2024-08-22T20:39:57.7393540Z fetch-depth: 1 2024-08-22T20:39:57.7393700Z submodules: 2024-08-22T20:39:57.7393840Z ref: 2024-08-22T20:39:57.7394400Z test-infra-repository: pytorch/test-infra 2024-08-22T20:39:57.7394890Z test-infra-ref: 2024-08-22T20:39:57.7395070Z job-name: macos-job 2024-08-22T20:39:57.7395420Z continue-on-error: false 2024-08-22T20:39:57.7395620Z binary-matrix: 2024-08-22T20:39:57.7395790Z secrets-env: 2024-08-22T20:39:57.7395980Z python-version: 3.9 2024-08-22T20:39:57.7396160Z ##[endgroup] 2024-08-22T20:39:57.7396450Z Complete job name: test-mps-dtype / macos-job 2024-08-22T20:39:57.7806280Z ##[group]Run echo "::group::Cleanup debug output" 2024-08-22T20:39:57.7806680Z echo "::group::Cleanup debug output" 2024-08-22T20:39:57.7806970Z rm -rfv "${GITHUB_WORKSPACE}" 2024-08-22T20:39:57.7807230Z mkdir -p "${GITHUB_WORKSPACE}" 2024-08-22T20:39:57.7807470Z echo "::endgroup::" 2024-08-22T20:39:57.7825090Z shell: /bin/bash -e {0} 2024-08-22T20:39:57.7825280Z env: 2024-08-22T20:39:57.7825440Z REPOSITORY: pytorch/torchchat 2024-08-22T20:39:57.7831930Z SCRIPT: set -x # NS/MC: Remove previous installation of torch and torchao first # as this script does not install anything into conda env but rather as system dep pip3 uninstall -y torch || true set -eou pipefail pip3 uninstall -y torchao || true set -eou pipefail echo "::group::Print machine info" uname -a sysctl machdep.cpu.brand_string sysctl machdep.cpu.core_count echo "::endgroup::" echo "::group::Install requirements" # Install requirements ./install_requirements.sh ls -la pwd pip3 list python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")' echo "::endgroup::" echo "::group::Download checkpoints" ( mkdir -p checkpoints/stories15M pushd checkpoints/stories15M curl -fsSL -O https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt curl -fsSL -O https://github.com/karpathy/llama2.c/raw/master/tokenizer.model popd ) echo "::endgroup::" echo "::group::Run inference" export MODEL_PATH=checkpoints/stories15M/stories15M.pt export MODEL_NAME=stories15M export MODEL_DIR=/tmp for DTYPE in float16 float32; do # if [ $(uname -s) == Darwin ]; then # export DTYPE=float16 # fi python3 torchchat.py generate --dtype ${DTYPE} --device mps --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 done 2024-08-22T20:39:57.7838450Z ##[endgroup] 2024-08-22T20:39:57.8331990Z ##[group]Cleanup debug output 2024-08-22T20:39:57.8333140Z /Users/ec2-user/runner/_work/torchchat/torchchat 2024-08-22T20:39:57.8333690Z ##[endgroup] 2024-08-22T20:39:57.8488170Z ##[group]Run actions/checkout@v3 2024-08-22T20:39:57.8488420Z with: 2024-08-22T20:39:57.8488580Z repository: pytorch/test-infra 2024-08-22T20:39:57.8488800Z path: test-infra 2024-08-22T20:39:57.8489070Z token: *** 2024-08-22T20:39:57.8489240Z ssh-strict: true 2024-08-22T20:39:57.8489450Z persist-credentials: true 2024-08-22T20:39:57.8489660Z clean: true 2024-08-22T20:39:57.8489860Z sparse-checkout-cone-mode: true 2024-08-22T20:39:57.8490110Z fetch-depth: 1 2024-08-22T20:39:57.8490290Z fetch-tags: false 2024-08-22T20:39:57.8490470Z lfs: false 2024-08-22T20:39:57.8490640Z submodules: false 2024-08-22T20:39:57.8490830Z set-safe-directory: true 2024-08-22T20:39:57.8491040Z env: 2024-08-22T20:39:57.8491210Z REPOSITORY: pytorch/torchchat 2024-08-22T20:39:57.8497960Z SCRIPT: set -x # NS/MC: Remove previous installation of torch and torchao first # as this script does not install anything into conda env but rather as system dep pip3 uninstall -y torch || true set -eou pipefail pip3 uninstall -y torchao || true set -eou pipefail echo "::group::Print machine info" uname -a sysctl machdep.cpu.brand_string sysctl machdep.cpu.core_count echo "::endgroup::" echo "::group::Install requirements" # Install requirements ./install_requirements.sh ls -la pwd pip3 list python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")' echo "::endgroup::" echo "::group::Download checkpoints" ( mkdir -p checkpoints/stories15M pushd checkpoints/stories15M curl -fsSL -O https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt curl -fsSL -O https://github.com/karpathy/llama2.c/raw/master/tokenizer.model popd ) echo "::endgroup::" echo "::group::Run inference" export MODEL_PATH=checkpoints/stories15M/stories15M.pt export MODEL_NAME=stories15M export MODEL_DIR=/tmp for DTYPE in float16 float32; do # if [ $(uname -s) == Darwin ]; then # export DTYPE=float16 # fi python3 torchchat.py generate --dtype ${DTYPE} --device mps --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 done 2024-08-22T20:39:57.8504560Z ##[endgroup] 2024-08-22T20:39:57.9429360Z Syncing repository: pytorch/test-infra 2024-08-22T20:39:57.9430000Z ##[group]Getting Git version info 2024-08-22T20:39:57.9430520Z Working directory is '/Users/ec2-user/runner/_work/torchchat/torchchat/test-infra' 2024-08-22T20:39:57.9431140Z [command]/usr/bin/git version 2024-08-22T20:39:57.9456040Z git version 2.39.3 (Apple Git-146) 2024-08-22T20:39:57.9469140Z ##[endgroup] 2024-08-22T20:39:57.9478670Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/64d7a61d-15ca-4d85-8254-d19185d38ea7' before making global git config changes 2024-08-22T20:39:57.9479450Z Adding repository directory to the temporary git global config as a safe directory 2024-08-22T20:39:57.9480200Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra 2024-08-22T20:39:57.9565870Z ##[group]Initializing the repository 2024-08-22T20:39:57.9568100Z [command]/usr/bin/git init /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra 2024-08-22T20:39:57.9701520Z Initialized empty Git repository in /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/.git/ 2024-08-22T20:39:57.9706560Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra 2024-08-22T20:39:57.9776280Z ##[endgroup] 2024-08-22T20:39:57.9776700Z ##[group]Disabling automatic garbage collection 2024-08-22T20:39:57.9778510Z [command]/usr/bin/git config --local gc.auto 0 2024-08-22T20:39:57.9837300Z ##[endgroup] 2024-08-22T20:39:57.9837650Z ##[group]Setting up auth 2024-08-22T20:39:57.9840370Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2024-08-22T20:39:57.9897140Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2024-08-22T20:39:58.0380270Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2024-08-22T20:39:58.0448920Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2024-08-22T20:39:58.0976200Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2024-08-22T20:39:58.1046100Z ##[endgroup] 2024-08-22T20:39:58.1046490Z ##[group]Determining the default branch 2024-08-22T20:39:58.1047850Z Retrieving the default branch name 2024-08-22T20:39:58.3680610Z Default branch 'main' 2024-08-22T20:39:58.3681160Z ##[endgroup] 2024-08-22T20:39:58.3681550Z ##[group]Fetching the repository 2024-08-22T20:39:58.3684420Z 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2024-08-22T20:39:58.6156070Z remote: Counting objects: 81% (1336/1649) 2024-08-22T20:39:58.6156370Z remote: Counting objects: 82% (1353/1649) 2024-08-22T20:39:58.6156680Z remote: Counting objects: 83% (1369/1649) 2024-08-22T20:39:58.6156990Z remote: Counting objects: 84% (1386/1649) 2024-08-22T20:39:58.6157290Z remote: Counting objects: 85% (1402/1649) 2024-08-22T20:39:58.6157610Z remote: Counting objects: 86% (1419/1649) 2024-08-22T20:39:58.6157910Z remote: Counting objects: 87% (1435/1649) 2024-08-22T20:39:58.6158210Z remote: Counting objects: 88% (1452/1649) 2024-08-22T20:39:58.6158540Z remote: Counting objects: 89% (1468/1649) 2024-08-22T20:39:58.6158970Z remote: Counting objects: 90% (1485/1649) 2024-08-22T20:39:58.6159280Z remote: Counting objects: 91% (1501/1649) 2024-08-22T20:39:58.6159590Z remote: Counting objects: 92% (1518/1649) 2024-08-22T20:39:58.6159890Z remote: Counting objects: 93% (1534/1649) 2024-08-22T20:39:58.6160190Z remote: Counting objects: 94% (1551/1649) 2024-08-22T20:39:58.6160510Z remote: Counting objects: 95% (1567/1649) 2024-08-22T20:39:58.6160810Z remote: Counting objects: 96% (1584/1649) 2024-08-22T20:39:58.6161120Z remote: Counting objects: 97% (1600/1649) 2024-08-22T20:39:58.6161430Z remote: Counting objects: 98% (1617/1649) 2024-08-22T20:39:58.6161730Z remote: Counting objects: 99% (1633/1649) 2024-08-22T20:39:58.6162040Z remote: Counting objects: 100% (1649/1649) 2024-08-22T20:39:58.6162380Z remote: Counting objects: 100% (1649/1649), done. 2024-08-22T20:39:58.6162720Z remote: Compressing objects: 0% (1/1259) 2024-08-22T20:39:58.6166660Z remote: Compressing objects: 1% (13/1259) 2024-08-22T20:39:58.6185300Z remote: Compressing objects: 2% (26/1259) 2024-08-22T20:39:58.6200270Z remote: Compressing objects: 3% (38/1259) 2024-08-22T20:39:58.6227030Z remote: Compressing objects: 4% (51/1259) 2024-08-22T20:39:58.6263470Z remote: Compressing objects: 5% (63/1259) 2024-08-22T20:39:58.6294950Z remote: Compressing objects: 6% (76/1259) 2024-08-22T20:39:58.6302940Z remote: Compressing objects: 7% (89/1259) 2024-08-22T20:39:58.6429400Z remote: Compressing objects: 8% (101/1259) 2024-08-22T20:39:58.6463460Z remote: Compressing objects: 9% (114/1259) 2024-08-22T20:39:58.6474210Z remote: Compressing objects: 10% (126/1259) 2024-08-22T20:39:58.6499240Z remote: Compressing objects: 11% (139/1259) 2024-08-22T20:39:58.6519500Z remote: Compressing objects: 12% (152/1259) 2024-08-22T20:39:58.6550650Z remote: Compressing objects: 13% (164/1259) 2024-08-22T20:39:58.6574730Z remote: Compressing objects: 14% (177/1259) 2024-08-22T20:39:58.6603760Z remote: Compressing objects: 15% (189/1259) 2024-08-22T20:39:58.6627320Z remote: Compressing objects: 16% (202/1259) 2024-08-22T20:39:58.6627870Z remote: Compressing objects: 17% (215/1259) 2024-08-22T20:39:58.6637290Z remote: Compressing objects: 18% (227/1259) 2024-08-22T20:39:58.6649250Z remote: Compressing objects: 19% (240/1259) 2024-08-22T20:39:58.6677670Z remote: Compressing objects: 20% (252/1259) 2024-08-22T20:39:58.6744700Z remote: Compressing objects: 21% (265/1259) 2024-08-22T20:39:58.6797480Z remote: Compressing objects: 22% (277/1259) 2024-08-22T20:39:58.6819520Z remote: Compressing objects: 23% (290/1259) 2024-08-22T20:39:58.6848110Z remote: Compressing objects: 24% (303/1259) 2024-08-22T20:39:58.6874550Z remote: Compressing objects: 25% (315/1259) 2024-08-22T20:39:58.6900960Z remote: Compressing objects: 26% (328/1259) 2024-08-22T20:39:58.6912380Z remote: Compressing objects: 27% (340/1259) 2024-08-22T20:39:58.6926610Z remote: Compressing objects: 28% (353/1259) 2024-08-22T20:39:58.6930820Z remote: Compressing objects: 29% (366/1259) 2024-08-22T20:39:58.6952030Z remote: Compressing objects: 30% (378/1259) 2024-08-22T20:39:58.6962910Z remote: Compressing objects: 31% (391/1259) 2024-08-22T20:39:58.6967330Z remote: Compressing objects: 32% (403/1259) 2024-08-22T20:39:58.6987450Z remote: Compressing objects: 33% (416/1259) 2024-08-22T20:39:58.6987970Z remote: Compressing objects: 34% (429/1259) 2024-08-22T20:39:58.6988550Z remote: Compressing objects: 35% (441/1259) 2024-08-22T20:39:58.6989090Z remote: Compressing objects: 36% (454/1259) 2024-08-22T20:39:58.6989630Z remote: Compressing objects: 37% (466/1259) 2024-08-22T20:39:58.6990480Z remote: Compressing objects: 38% (479/1259) 2024-08-22T20:39:58.6991030Z remote: Compressing objects: 39% (492/1259) 2024-08-22T20:39:58.6991570Z remote: Compressing objects: 40% (504/1259) 2024-08-22T20:39:58.6992700Z remote: Compressing objects: 41% (517/1259) 2024-08-22T20:39:58.7005450Z remote: Compressing objects: 42% (529/1259) 2024-08-22T20:39:58.7006000Z remote: Compressing objects: 43% (542/1259) 2024-08-22T20:39:58.7006540Z remote: Compressing objects: 44% (554/1259) 2024-08-22T20:39:58.7007070Z remote: Compressing objects: 45% (567/1259) 2024-08-22T20:39:58.7007620Z remote: Compressing objects: 46% (580/1259) 2024-08-22T20:39:58.7008150Z remote: Compressing objects: 47% (592/1259) 2024-08-22T20:39:58.7008700Z remote: Compressing objects: 48% (605/1259) 2024-08-22T20:39:58.7009220Z remote: Compressing objects: 49% (617/1259) 2024-08-22T20:39:58.7009740Z remote: Compressing objects: 50% (630/1259) 2024-08-22T20:39:58.7010280Z remote: Compressing objects: 51% (643/1259) 2024-08-22T20:39:58.7010800Z remote: Compressing objects: 52% (655/1259) 2024-08-22T20:39:58.7088290Z remote: Compressing objects: 53% (668/1259) 2024-08-22T20:39:58.7093720Z remote: Compressing objects: 54% (680/1259) 2024-08-22T20:39:58.7097640Z remote: Compressing objects: 55% (693/1259) 2024-08-22T20:39:58.7099680Z remote: Compressing objects: 56% (706/1259) 2024-08-22T20:39:58.7102330Z remote: Compressing objects: 57% (718/1259) 2024-08-22T20:39:58.7104820Z remote: Compressing objects: 58% (731/1259) 2024-08-22T20:39:58.7106250Z remote: Compressing objects: 59% (743/1259) 2024-08-22T20:39:58.7107710Z remote: Compressing objects: 60% (756/1259) 2024-08-22T20:39:58.7109030Z remote: Compressing objects: 61% (768/1259) 2024-08-22T20:39:58.7120900Z remote: Compressing objects: 62% (781/1259) 2024-08-22T20:39:58.7129000Z remote: Compressing objects: 63% (794/1259) 2024-08-22T20:39:58.7135740Z remote: Compressing objects: 64% (806/1259) 2024-08-22T20:39:58.7141550Z remote: Compressing objects: 65% (819/1259) 2024-08-22T20:39:58.7146730Z remote: Compressing objects: 66% (831/1259) 2024-08-22T20:39:58.7152500Z remote: Compressing objects: 67% (844/1259) 2024-08-22T20:39:58.7157530Z remote: Compressing objects: 68% (857/1259) 2024-08-22T20:39:58.7170580Z remote: Compressing objects: 69% (869/1259) 2024-08-22T20:39:58.7189080Z remote: Compressing objects: 70% (882/1259) 2024-08-22T20:39:58.7202650Z remote: Compressing objects: 71% (894/1259) 2024-08-22T20:39:58.7210230Z remote: Compressing objects: 72% (907/1259) 2024-08-22T20:39:58.7219310Z remote: Compressing objects: 73% (920/1259) 2024-08-22T20:39:58.7238790Z remote: Compressing objects: 74% (932/1259) 2024-08-22T20:39:58.7256660Z remote: Compressing objects: 75% (945/1259) 2024-08-22T20:39:58.7275910Z remote: Compressing objects: 76% (957/1259) 2024-08-22T20:39:58.7529030Z remote: Compressing objects: 77% (970/1259) 2024-08-22T20:39:58.7647500Z remote: Compressing objects: 78% (983/1259) 2024-08-22T20:39:58.7654810Z remote: Compressing objects: 79% (995/1259) 2024-08-22T20:39:58.7659490Z remote: Compressing objects: 80% (1008/1259) 2024-08-22T20:39:58.7660870Z remote: Compressing objects: 81% (1020/1259) 2024-08-22T20:39:58.7673670Z remote: Compressing objects: 82% (1033/1259) 2024-08-22T20:39:58.7692680Z remote: Compressing objects: 83% (1045/1259) 2024-08-22T20:39:58.7705890Z remote: Compressing objects: 84% (1058/1259) 2024-08-22T20:39:58.7711640Z remote: Compressing objects: 85% (1071/1259) 2024-08-22T20:39:58.7719260Z remote: Compressing objects: 86% (1083/1259) 2024-08-22T20:39:58.7725780Z remote: Compressing objects: 87% (1096/1259) 2024-08-22T20:39:58.7727830Z remote: Compressing objects: 88% (1108/1259) 2024-08-22T20:39:58.7729750Z remote: Compressing objects: 89% (1121/1259) 2024-08-22T20:39:58.7731130Z remote: Compressing objects: 90% (1134/1259) 2024-08-22T20:39:58.7733180Z remote: Compressing objects: 91% (1146/1259) 2024-08-22T20:39:58.7735400Z remote: Compressing objects: 92% (1159/1259) 2024-08-22T20:39:58.7736510Z remote: Compressing objects: 93% (1171/1259) 2024-08-22T20:39:58.7737500Z remote: Compressing objects: 94% (1184/1259) 2024-08-22T20:39:58.7738640Z remote: Compressing objects: 95% (1197/1259) 2024-08-22T20:39:58.7739740Z remote: Compressing objects: 96% (1209/1259) 2024-08-22T20:39:58.7741030Z remote: Compressing objects: 97% (1222/1259) 2024-08-22T20:39:58.7742030Z remote: Compressing objects: 98% (1234/1259) 2024-08-22T20:39:58.7743140Z remote: Compressing objects: 99% (1247/1259) 2024-08-22T20:39:58.7744180Z remote: Compressing objects: 100% (1259/1259) 2024-08-22T20:39:58.7745270Z remote: Compressing objects: 100% (1259/1259), done. 2024-08-22T20:39:58.7850670Z Receiving objects: 0% (1/1649) 2024-08-22T20:39:58.7853000Z Receiving objects: 1% (17/1649) 2024-08-22T20:39:58.7895900Z Receiving objects: 2% (33/1649) 2024-08-22T20:39:58.7900430Z Receiving objects: 3% (50/1649) 2024-08-22T20:39:58.7908910Z Receiving objects: 4% (66/1649) 2024-08-22T20:39:58.7914260Z Receiving objects: 5% (83/1649) 2024-08-22T20:39:58.7919170Z Receiving objects: 6% (99/1649) 2024-08-22T20:39:58.7922540Z Receiving objects: 7% (116/1649) 2024-08-22T20:39:58.7924320Z Receiving objects: 8% (132/1649) 2024-08-22T20:39:58.7928070Z Receiving objects: 9% (149/1649) 2024-08-22T20:39:58.7931040Z Receiving objects: 10% (165/1649) 2024-08-22T20:39:58.7933900Z Receiving objects: 11% (182/1649) 2024-08-22T20:39:58.7936550Z Receiving objects: 12% (198/1649) 2024-08-22T20:39:58.8026080Z Receiving objects: 13% (215/1649) 2024-08-22T20:39:58.8057410Z Receiving objects: 14% (231/1649) 2024-08-22T20:39:58.8059620Z Receiving objects: 15% (248/1649) 2024-08-22T20:39:58.8061860Z Receiving objects: 16% (264/1649) 2024-08-22T20:39:58.8064370Z Receiving objects: 17% (281/1649) 2024-08-22T20:39:58.8156590Z Receiving objects: 18% (297/1649) 2024-08-22T20:39:58.8168930Z Receiving objects: 19% (314/1649) 2024-08-22T20:39:58.8169960Z Receiving objects: 20% (330/1649) 2024-08-22T20:39:58.8173040Z Receiving objects: 21% (347/1649) 2024-08-22T20:39:58.8174850Z Receiving objects: 22% (363/1649) 2024-08-22T20:39:58.8176880Z Receiving objects: 23% (380/1649) 2024-08-22T20:39:58.8182350Z Receiving objects: 24% (396/1649) 2024-08-22T20:39:58.8190000Z Receiving objects: 25% (413/1649) 2024-08-22T20:39:58.8194440Z Receiving objects: 26% (429/1649) 2024-08-22T20:39:58.8228600Z Receiving objects: 27% (446/1649) 2024-08-22T20:39:58.8233210Z Receiving objects: 28% (462/1649) 2024-08-22T20:39:58.8234420Z Receiving objects: 29% (479/1649) 2024-08-22T20:39:58.8242210Z Receiving objects: 30% (495/1649) 2024-08-22T20:39:58.8246170Z Receiving objects: 31% (512/1649) 2024-08-22T20:39:58.8248600Z Receiving objects: 32% (528/1649) 2024-08-22T20:39:58.8253160Z Receiving objects: 33% (545/1649) 2024-08-22T20:39:58.8253620Z Receiving objects: 34% (561/1649) 2024-08-22T20:39:58.8257720Z Receiving objects: 35% (578/1649) 2024-08-22T20:39:58.8260520Z Receiving objects: 36% (594/1649) 2024-08-22T20:39:58.8264230Z Receiving objects: 37% (611/1649) 2024-08-22T20:39:58.8266490Z Receiving objects: 38% (627/1649) 2024-08-22T20:39:58.8268410Z Receiving objects: 39% (644/1649) 2024-08-22T20:39:58.8271150Z Receiving objects: 40% (660/1649) 2024-08-22T20:39:58.8273800Z Receiving objects: 41% (677/1649) 2024-08-22T20:39:58.8277650Z Receiving objects: 42% (693/1649) 2024-08-22T20:39:58.8279950Z Receiving objects: 43% (710/1649) 2024-08-22T20:39:58.8281020Z Receiving objects: 44% (726/1649) 2024-08-22T20:39:58.8282960Z Receiving objects: 45% (743/1649) 2024-08-22T20:39:58.8285800Z Receiving objects: 46% (759/1649) 2024-08-22T20:39:58.8287420Z Receiving objects: 47% (776/1649) 2024-08-22T20:39:58.8290920Z Receiving objects: 48% (792/1649) 2024-08-22T20:39:58.8292190Z Receiving objects: 49% (809/1649) 2024-08-22T20:39:58.8294350Z Receiving objects: 50% (825/1649) 2024-08-22T20:39:58.8296650Z Receiving objects: 51% (841/1649) 2024-08-22T20:39:58.8298160Z Receiving objects: 52% (858/1649) 2024-08-22T20:39:58.8302030Z Receiving objects: 53% (874/1649) 2024-08-22T20:39:58.8303640Z Receiving objects: 54% (891/1649) 2024-08-22T20:39:58.8304840Z Receiving objects: 55% (907/1649) 2024-08-22T20:39:58.8306950Z Receiving objects: 56% (924/1649) 2024-08-22T20:39:58.8309240Z Receiving objects: 57% (940/1649) 2024-08-22T20:39:58.8312350Z Receiving objects: 58% (957/1649) 2024-08-22T20:39:58.8315960Z Receiving objects: 59% (973/1649) 2024-08-22T20:39:58.8317750Z Receiving objects: 60% (990/1649) 2024-08-22T20:39:58.8319770Z Receiving objects: 61% (1006/1649) 2024-08-22T20:39:58.8321420Z Receiving objects: 62% (1023/1649) 2024-08-22T20:39:58.8323870Z Receiving objects: 63% (1039/1649) 2024-08-22T20:39:58.8326880Z Receiving objects: 64% (1056/1649) 2024-08-22T20:39:58.8328580Z Receiving objects: 65% (1072/1649) 2024-08-22T20:39:58.8329640Z Receiving objects: 66% (1089/1649) 2024-08-22T20:39:58.8342980Z Receiving objects: 67% (1105/1649) 2024-08-22T20:39:58.8345550Z Receiving objects: 68% (1122/1649) 2024-08-22T20:39:58.8353480Z Receiving objects: 69% (1138/1649) 2024-08-22T20:39:58.8368860Z Receiving objects: 70% (1155/1649) 2024-08-22T20:39:58.8380170Z Receiving objects: 71% (1171/1649) 2024-08-22T20:39:58.8393140Z Receiving objects: 72% (1188/1649) 2024-08-22T20:39:58.8405960Z Receiving objects: 73% (1204/1649) 2024-08-22T20:39:58.8419830Z Receiving objects: 74% (1221/1649) 2024-08-22T20:39:58.8687900Z Receiving objects: 75% (1237/1649) 2024-08-22T20:39:58.8688670Z Receiving objects: 76% (1254/1649) 2024-08-22T20:39:58.8691430Z Receiving objects: 77% (1270/1649) 2024-08-22T20:39:58.8692190Z Receiving objects: 78% (1287/1649) 2024-08-22T20:39:58.8693710Z Receiving objects: 79% (1303/1649) 2024-08-22T20:39:58.8696670Z Receiving objects: 80% (1320/1649) 2024-08-22T20:39:58.8706040Z Receiving objects: 81% (1336/1649) 2024-08-22T20:39:58.8758790Z Receiving objects: 82% (1353/1649) 2024-08-22T20:39:58.8760090Z Receiving objects: 83% (1369/1649) 2024-08-22T20:39:58.8761730Z Receiving objects: 84% (1386/1649) 2024-08-22T20:39:58.8763200Z Receiving objects: 85% (1402/1649) 2024-08-22T20:39:58.8763540Z Receiving objects: 86% (1419/1649) 2024-08-22T20:39:58.8763850Z Receiving objects: 87% (1435/1649) 2024-08-22T20:39:58.8765020Z Receiving objects: 88% (1452/1649) 2024-08-22T20:39:58.8766530Z Receiving objects: 89% (1468/1649) 2024-08-22T20:39:58.8767970Z Receiving objects: 90% (1485/1649) 2024-08-22T20:39:58.8768600Z Receiving objects: 91% (1501/1649) 2024-08-22T20:39:58.8768920Z Receiving objects: 92% (1518/1649) 2024-08-22T20:39:58.8769750Z Receiving objects: 93% (1534/1649) 2024-08-22T20:39:58.8771280Z Receiving objects: 94% (1551/1649) 2024-08-22T20:39:58.8771740Z Receiving objects: 95% (1567/1649) 2024-08-22T20:39:58.8791730Z Receiving objects: 96% (1584/1649) 2024-08-22T20:39:58.8800670Z Receiving objects: 97% (1600/1649) 2024-08-22T20:39:58.8805960Z Receiving objects: 98% (1617/1649) 2024-08-22T20:39:58.8820510Z Receiving objects: 99% (1633/1649) 2024-08-22T20:39:58.8821210Z remote: Total 1649 (delta 372), reused 1071 (delta 268), pack-reused 0 (from 0) 2024-08-22T20:39:58.8826260Z Receiving objects: 100% (1649/1649) 2024-08-22T20:39:58.8826700Z Receiving objects: 100% (1649/1649), 2.83 MiB | 28.71 MiB/s, done. 2024-08-22T20:39:58.8845920Z Resolving deltas: 0% (0/372) 2024-08-22T20:39:58.8848970Z Resolving deltas: 1% (4/372) 2024-08-22T20:39:58.8849290Z Resolving deltas: 2% (8/372) 2024-08-22T20:39:58.8849580Z Resolving deltas: 3% (12/372) 2024-08-22T20:39:58.8850360Z Resolving deltas: 4% (15/372) 2024-08-22T20:39:58.8850930Z Resolving deltas: 5% (20/372) 2024-08-22T20:39:58.8851220Z Resolving deltas: 6% (23/372) 2024-08-22T20:39:58.8852220Z Resolving deltas: 7% (27/372) 2024-08-22T20:39:58.8853390Z Resolving deltas: 8% (30/372) 2024-08-22T20:39:58.8854440Z Resolving deltas: 9% (34/372) 2024-08-22T20:39:58.8854800Z Resolving deltas: 10% (38/372) 2024-08-22T20:39:58.8856070Z Resolving deltas: 11% (41/372) 2024-08-22T20:39:58.8856360Z Resolving deltas: 12% (46/372) 2024-08-22T20:39:58.8858210Z Resolving deltas: 13% (49/372) 2024-08-22T20:39:58.8859040Z Resolving deltas: 14% (53/372) 2024-08-22T20:39:58.8859520Z Resolving deltas: 15% (56/372) 2024-08-22T20:39:58.8865180Z Resolving deltas: 16% (60/372) 2024-08-22T20:39:58.8867220Z Resolving deltas: 17% (65/372) 2024-08-22T20:39:58.8868080Z Resolving deltas: 18% (67/372) 2024-08-22T20:39:58.8868660Z Resolving deltas: 19% (71/372) 2024-08-22T20:39:58.8868980Z Resolving deltas: 20% (75/372) 2024-08-22T20:39:58.8869280Z Resolving deltas: 21% (79/372) 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2024-08-22T20:39:58.9122650Z * [new branch] main -> origin/main 2024-08-22T20:39:58.9159050Z ##[endgroup] 2024-08-22T20:39:58.9159390Z ##[group]Determining the checkout info 2024-08-22T20:39:58.9159770Z ##[endgroup] 2024-08-22T20:39:58.9160080Z ##[group]Checking out the ref 2024-08-22T20:39:58.9162090Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main 2024-08-22T20:39:59.0980230Z Reset branch 'main' 2024-08-22T20:39:59.0980550Z branch 'main' set up to track 'origin/main'. 2024-08-22T20:39:59.0985790Z ##[endgroup] 2024-08-22T20:39:59.1058180Z [command]/usr/bin/git log -1 --format='%H' 2024-08-22T20:39:59.1116140Z '6dab351bed7d1c647665a8b8e883ec5b1c973feb' 2024-08-22T20:39:59.1316320Z Prepare all required actions 2024-08-22T20:39:59.1316680Z Getting action download info 2024-08-22T20:39:59.2231230Z Download action repository 'actions/cache@v3' (SHA:e12d46a63a90f2fae62d114769bbf2a179198b5c) 2024-08-22T20:39:59.5142320Z ##[group]Run ./test-infra/.github/actions/setup-miniconda 2024-08-22T20:39:59.5142610Z with: 2024-08-22T20:39:59.5142800Z python-version: 3.9 2024-08-22T20:39:59.5143000Z miniconda-version: 23.1.0-1 2024-08-22T20:39:59.5143200Z env: 2024-08-22T20:39:59.5143370Z REPOSITORY: pytorch/torchchat 2024-08-22T20:39:59.5149800Z SCRIPT: set -x # NS/MC: Remove previous installation of torch and torchao first # as this script does not install anything into conda env but rather as system dep pip3 uninstall -y torch || true set -eou pipefail pip3 uninstall -y torchao || true set -eou pipefail echo "::group::Print machine info" uname -a sysctl machdep.cpu.brand_string sysctl machdep.cpu.core_count echo "::endgroup::" echo "::group::Install requirements" # Install requirements ./install_requirements.sh ls -la pwd pip3 list python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")' echo "::endgroup::" echo "::group::Download checkpoints" ( mkdir -p checkpoints/stories15M pushd checkpoints/stories15M curl -fsSL -O https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt curl -fsSL -O https://github.com/karpathy/llama2.c/raw/master/tokenizer.model popd ) echo "::endgroup::" echo "::group::Run inference" export MODEL_PATH=checkpoints/stories15M/stories15M.pt export MODEL_NAME=stories15M export MODEL_DIR=/tmp for DTYPE in float16 float32; do # if [ $(uname -s) == Darwin ]; then # export DTYPE=float16 # fi python3 torchchat.py generate --dtype ${DTYPE} --device mps --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 done 2024-08-22T20:39:59.5156560Z ##[endgroup] 2024-08-22T20:39:59.5279890Z ##[group]Run echo "today=$(/bin/date -u '+%Y%m%d')d" >> "${GITHUB_OUTPUT}" 2024-08-22T20:39:59.5280360Z echo "today=$(/bin/date -u '+%Y%m%d')d" >> "${GITHUB_OUTPUT}" 2024-08-22T20:39:59.5296920Z shell: /bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-22T20:39:59.5297220Z env: 2024-08-22T20:39:59.5297410Z REPOSITORY: pytorch/torchchat 2024-08-22T20:39:59.5304070Z SCRIPT: set -x # NS/MC: Remove previous installation of torch and torchao first # as this script does not install anything into conda env but rather as system dep pip3 uninstall -y torch || true set -eou pipefail pip3 uninstall -y torchao || true set -eou pipefail echo "::group::Print machine info" uname -a sysctl machdep.cpu.brand_string sysctl machdep.cpu.core_count echo "::endgroup::" echo "::group::Install requirements" # Install requirements ./install_requirements.sh ls -la pwd pip3 list python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")' echo "::endgroup::" echo "::group::Download checkpoints" ( mkdir -p checkpoints/stories15M pushd checkpoints/stories15M curl -fsSL -O https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt curl -fsSL -O https://github.com/karpathy/llama2.c/raw/master/tokenizer.model popd ) echo "::endgroup::" echo "::group::Run inference" export MODEL_PATH=checkpoints/stories15M/stories15M.pt export MODEL_NAME=stories15M export MODEL_DIR=/tmp for DTYPE in float16 float32; do # if [ $(uname -s) == Darwin ]; then # export DTYPE=float16 # fi python3 torchchat.py generate --dtype ${DTYPE} --device mps --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 done 2024-08-22T20:39:59.5310590Z ##[endgroup] 2024-08-22T20:39:59.5774900Z ##[group]Run actions/cache@v3 2024-08-22T20:39:59.5775120Z with: 2024-08-22T20:39:59.5775330Z path: /Users/ec2-user/runner/_work/_temp/miniconda 2024-08-22T20:39:59.5775810Z key: miniconda-macOS-ARM64-3.9-20240822d 2024-08-22T20:39:59.5776100Z enableCrossOsArchive: false 2024-08-22T20:39:59.5776320Z fail-on-cache-miss: false 2024-08-22T20:39:59.5776530Z lookup-only: false 2024-08-22T20:39:59.5776720Z env: 2024-08-22T20:39:59.5776880Z REPOSITORY: pytorch/torchchat 2024-08-22T20:39:59.5783280Z SCRIPT: set -x # NS/MC: Remove previous installation of torch and torchao first # as this script does not install anything into conda env but rather as system dep pip3 uninstall -y torch || true set -eou pipefail pip3 uninstall -y torchao || true set -eou pipefail echo "::group::Print machine info" uname -a sysctl machdep.cpu.brand_string sysctl machdep.cpu.core_count echo "::endgroup::" echo "::group::Install requirements" # Install requirements ./install_requirements.sh ls -la pwd pip3 list python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")' echo "::endgroup::" echo "::group::Download checkpoints" ( mkdir -p checkpoints/stories15M pushd checkpoints/stories15M curl -fsSL -O https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt curl -fsSL -O https://github.com/karpathy/llama2.c/raw/master/tokenizer.model popd ) echo "::endgroup::" echo "::group::Run inference" export MODEL_PATH=checkpoints/stories15M/stories15M.pt export MODEL_NAME=stories15M export MODEL_DIR=/tmp for DTYPE in float16 float32; do # if [ $(uname -s) == Darwin ]; then # export DTYPE=float16 # fi python3 torchchat.py generate --dtype ${DTYPE} --device mps --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 done 2024-08-22T20:39:59.5789790Z ##[endgroup] 2024-08-22T20:40:00.7296610Z Cache Size: ~182 MB (191179680 B) 2024-08-22T20:40:00.7321140Z [command]/usr/bin/tar -xf /Users/ec2-user/runner/_work/_temp/313088a2-f5a7-47de-a7e7-0a9be9cad5fb/cache.tzst -P -C /Users/ec2-user/runner/_work/torchchat/torchchat --use-compress-program unzstd 2024-08-22T20:40:00.7894470Z Received 191179680 of 191179680 (100.0%), 182.0 MBs/sec 2024-08-22T20:40:06.3275370Z Cache restored successfully 2024-08-22T20:40:06.3367900Z Cache restored from key: miniconda-macOS-ARM64-3.9-20240822d 2024-08-22T20:40:06.3446050Z ##[group]Run set -x 2024-08-22T20:40:06.3446260Z set -x 2024-08-22T20:40:06.3446430Z  2024-08-22T20:40:06.3446700Z MINICONDA_INSTALL_PATH="${RUNNER_TEMP}/miniconda" 2024-08-22T20:40:06.3447130Z echo "${MINICONDA_INSTALL_PATH}/bin" >> $GITHUB_PATH 2024-08-22T20:40:06.3447600Z # NB: GITHUB_PATH has a lower priority than PATH, so also set the path 2024-08-22T20:40:06.3448090Z # here to make sure that the correct conda is used 2024-08-22T20:40:06.3448400Z { 2024-08-22T20:40:06.3448650Z  echo "PATH=${MINICONDA_INSTALL_PATH}/bin:${PATH}" 2024-08-22T20:40:06.3449040Z  echo "CONDA_EXE=${MINICONDA_INSTALL_PATH}/bin/conda"; 2024-08-22T20:40:06.3449350Z } >> "${GITHUB_ENV}" 2024-08-22T20:40:06.3466290Z shell: /bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-22T20:40:06.3466560Z env: 2024-08-22T20:40:06.3466720Z REPOSITORY: pytorch/torchchat 2024-08-22T20:40:06.3473520Z SCRIPT: set -x # NS/MC: Remove previous installation of torch and torchao first # as this script does not install anything into conda env but rather as system dep pip3 uninstall -y torch || true set -eou pipefail pip3 uninstall -y torchao || true set -eou pipefail echo "::group::Print machine info" uname -a sysctl machdep.cpu.brand_string sysctl machdep.cpu.core_count echo "::endgroup::" echo "::group::Install requirements" # Install requirements ./install_requirements.sh ls -la pwd pip3 list python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")' echo "::endgroup::" echo "::group::Download checkpoints" ( mkdir -p checkpoints/stories15M pushd checkpoints/stories15M curl -fsSL -O https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt curl -fsSL -O https://github.com/karpathy/llama2.c/raw/master/tokenizer.model popd ) echo "::endgroup::" echo "::group::Run inference" export MODEL_PATH=checkpoints/stories15M/stories15M.pt export MODEL_NAME=stories15M export MODEL_DIR=/tmp for DTYPE in float16 float32; do # if [ $(uname -s) == Darwin ]; then # export DTYPE=float16 # fi python3 torchchat.py generate --dtype ${DTYPE} --device mps --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 done 2024-08-22T20:40:06.3480450Z ##[endgroup] 2024-08-22T20:40:06.3870270Z + MINICONDA_INSTALL_PATH=/Users/ec2-user/runner/_work/_temp/miniconda 2024-08-22T20:40:06.3870800Z + echo /Users/ec2-user/runner/_work/_temp/miniconda/bin 2024-08-22T20:40:06.3872150Z + echo PATH=/Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin 2024-08-22T20:40:06.3873860Z + echo CONDA_EXE=/Users/ec2-user/runner/_work/_temp/miniconda/bin/conda 2024-08-22T20:40:06.5399420Z ##[group]Run actions/cache@v3 2024-08-22T20:40:06.5399690Z with: 2024-08-22T20:40:06.5399940Z path: /Users/ec2-user/runner/_work/_temp/conda-python-3.9 2024-08-22T20:40:06.5400300Z key: miniconda-env-macOS-ARM64-3.9-20240822d-- 2024-08-22T20:40:06.5400610Z enableCrossOsArchive: false 2024-08-22T20:40:06.5400870Z fail-on-cache-miss: false 2024-08-22T20:40:06.5401080Z lookup-only: false 2024-08-22T20:40:06.5401280Z env: 2024-08-22T20:40:06.5401450Z REPOSITORY: pytorch/torchchat 2024-08-22T20:40:06.5408040Z SCRIPT: set -x # NS/MC: Remove previous installation of torch and torchao first # as this script does not install anything into conda env but rather as system dep pip3 uninstall -y torch || true set -eou pipefail pip3 uninstall -y torchao || true set -eou pipefail echo "::group::Print machine info" uname -a sysctl machdep.cpu.brand_string sysctl machdep.cpu.core_count echo "::endgroup::" echo "::group::Install requirements" # Install requirements ./install_requirements.sh ls -la pwd pip3 list python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")' echo "::endgroup::" echo "::group::Download checkpoints" ( mkdir -p checkpoints/stories15M pushd checkpoints/stories15M curl -fsSL -O https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt curl -fsSL -O https://github.com/karpathy/llama2.c/raw/master/tokenizer.model popd ) echo "::endgroup::" echo "::group::Run inference" export MODEL_PATH=checkpoints/stories15M/stories15M.pt export MODEL_NAME=stories15M export MODEL_DIR=/tmp for DTYPE in float16 float32; do # if [ $(uname -s) == Darwin ]; then # export DTYPE=float16 # fi python3 torchchat.py generate --dtype ${DTYPE} --device mps --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 done 2024-08-22T20:40:06.5415710Z PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin 2024-08-22T20:40:06.5416680Z CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda 2024-08-22T20:40:06.5417010Z ##[endgroup] 2024-08-22T20:40:07.0483880Z Cache Size: ~55 MB (57766477 B) 2024-08-22T20:40:07.0499920Z [command]/usr/bin/tar -xf /Users/ec2-user/runner/_work/_temp/35380232-7e73-4a80-ab68-a7818f1d758d/cache.tzst -P -C /Users/ec2-user/runner/_work/torchchat/torchchat --use-compress-program unzstd 2024-08-22T20:40:07.7098720Z Received 57766477 of 57766477 (100.0%), 55.0 MBs/sec 2024-08-22T20:40:08.8840250Z Cache restored successfully 2024-08-22T20:40:08.8917390Z Cache restored from key: miniconda-env-macOS-ARM64-3.9-20240822d-- 2024-08-22T20:40:08.8970520Z ##[group]Run set -x 2024-08-22T20:40:08.8970780Z set -x 2024-08-22T20:40:08.8970980Z  2024-08-22T20:40:08.8971320Z # Print the conda we are using here in case we need debugging information 2024-08-22T20:40:08.8971720Z CONDA_RUNTIME=$(which conda) 2024-08-22T20:40:08.8972100Z "${CONDA_RUNTIME}" --version 2024-08-22T20:40:08.8972340Z  2024-08-22T20:40:08.8972910Z # https://docs.conda.io/projects/conda-build/en/stable/user-guide/environment-variables.html 2024-08-22T20:40:08.8973500Z CONDA_PREFIX="${RUNNER_TEMP}/conda_environment_${GITHUB_RUN_ID}" 2024-08-22T20:40:08.8973850Z "${CONDA_RUNTIME}" create \ 2024-08-22T20:40:08.8974090Z  --yes --quiet \ 2024-08-22T20:40:08.8974320Z  --prefix "${CONDA_PREFIX}" \ 2024-08-22T20:40:08.8980730Z  --clone "${CONDA_BASE_ENV}" 2024-08-22T20:40:08.8980970Z  2024-08-22T20:40:08.8981120Z set +e 2024-08-22T20:40:08.8981490Z # NB: Cloning sometimes doesn't copied pip dependencies (untracked files) over. If this 2024-08-22T20:40:08.8982120Z # happens, let's attempt to install the pip requirements directly on top of the cloned 2024-08-22T20:40:08.8982670Z # environment. This is to make sure that no dependency is missing. 2024-08-22T20:40:08.8983250Z UNTRACKED_FILES_COUNT=$("${CONDA_RUNTIME}" package -p "${CONDA_PREFIX}" -u | grep -v "^#" | wc -l | xargs) 2024-08-22T20:40:08.8983700Z set -e 2024-08-22T20:40:08.8983860Z  2024-08-22T20:40:08.8984160Z if [[ -z "${UNTRACKED_FILES_COUNT}" ]] || [[ "${UNTRACKED_FILES_COUNT}" == "0" ]]; then 2024-08-22T20:40:08.8984590Z  if [[ -f "${PIP_REQUIREMENTS_FILE}" ]]; then 2024-08-22T20:40:08.8985240Z  # NB: Force reinstall and don't use the cache, as the installation would still fail 2024-08-22T20:40:08.8985750Z  # when reporting that all requirements have been satisfied 2024-08-22T20:40:08.8986450Z  "${CONDA_RUNTIME}" run -p "${CONDA_PREFIX}" --no-capture-output python3 -mpip install --ignore-installed --no-cache-dir -r "${PIP_REQUIREMENTS_FILE}" 2024-08-22T20:40:08.8987100Z  elif [[ -n "${PIP_REQUIREMENTS_FILE}" ]]; then 2024-08-22T20:40:08.8987660Z  echo "::warning::Specified pip requirements file (${PIP_REQUIREMENTS_FILE}) not found, not going to include it" 2024-08-22T20:40:08.8988130Z  fi 2024-08-22T20:40:08.8988290Z fi 2024-08-22T20:40:08.8988440Z  2024-08-22T20:40:08.8988790Z # Keep exporting CONDA_PREFIX under CONDA_ENV because the latter could be used elsewhere 2024-08-22T20:40:08.8989280Z echo "CONDA_ENV=${CONDA_PREFIX}" >> "${GITHUB_ENV}" 2024-08-22T20:40:08.8989570Z  2024-08-22T20:40:08.8989800Z echo "CONDA_PREFIX=${CONDA_PREFIX}" >> "${GITHUB_ENV}" 2024-08-22T20:40:08.8990310Z echo "CONDA_RUN=${CONDA_RUNTIME} run -p ${CONDA_PREFIX} --no-capture-output" >> "${GITHUB_ENV}" 2024-08-22T20:40:08.8990780Z if [[ "${PYTHON_VERSION}" == "3.11" ]]; then 2024-08-22T20:40:08.8991200Z  # TODO: Remove me, when more packages will be available on default channel 2024-08-22T20:40:08.8991840Z  echo "CONDA_INSTALL=${CONDA_RUNTIME} install --yes --quiet -p ${CONDA_PREFIX} -c pytorch-nightly" >> "${GITHUB_ENV}" 2024-08-22T20:40:08.8992330Z else 2024-08-22T20:40:08.8992690Z  echo "CONDA_INSTALL=${CONDA_RUNTIME} install --yes --quiet -p ${CONDA_PREFIX}" >> "${GITHUB_ENV}" 2024-08-22T20:40:08.8993110Z fi 2024-08-22T20:40:08.9011700Z shell: /bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-22T20:40:08.9011980Z env: 2024-08-22T20:40:08.9012140Z REPOSITORY: pytorch/torchchat 2024-08-22T20:40:08.9018880Z SCRIPT: set -x # NS/MC: Remove previous installation of torch and torchao first # as this script does not install anything into conda env but rather as system dep pip3 uninstall -y torch || true set -eou pipefail pip3 uninstall -y torchao || true set -eou pipefail echo "::group::Print machine info" uname -a sysctl machdep.cpu.brand_string sysctl machdep.cpu.core_count echo "::endgroup::" echo "::group::Install requirements" # Install requirements ./install_requirements.sh ls -la pwd pip3 list python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")' echo "::endgroup::" echo "::group::Download checkpoints" ( mkdir -p checkpoints/stories15M pushd checkpoints/stories15M curl -fsSL -O https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt curl -fsSL -O https://github.com/karpathy/llama2.c/raw/master/tokenizer.model popd ) echo "::endgroup::" echo "::group::Run inference" export MODEL_PATH=checkpoints/stories15M/stories15M.pt export MODEL_NAME=stories15M export MODEL_DIR=/tmp for DTYPE in float16 float32; do # if [ $(uname -s) == Darwin ]; then # export DTYPE=float16 # fi python3 torchchat.py generate --dtype ${DTYPE} --device mps --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 done 2024-08-22T20:40:08.9026280Z PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin 2024-08-22T20:40:08.9027220Z CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda 2024-08-22T20:40:08.9027550Z PYTHON_VERSION: 3.9 2024-08-22T20:40:08.9027830Z CONDA_BASE_ENV: /Users/ec2-user/runner/_work/_temp/conda-python-3.9 2024-08-22T20:40:08.9028160Z PIP_REQUIREMENTS_FILE: 2024-08-22T20:40:08.9028360Z ##[endgroup] 2024-08-22T20:40:08.9424590Z ++ which conda 2024-08-22T20:40:08.9434890Z + CONDA_RUNTIME=/Users/ec2-user/runner/_work/_temp/miniconda/bin/conda 2024-08-22T20:40:08.9435430Z + /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda --version 2024-08-22T20:40:11.0191990Z conda 23.1.0 2024-08-22T20:40:11.0651790Z + CONDA_PREFIX=/Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 2024-08-22T20:40:11.0653240Z + /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda create --yes --quiet --prefix /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 --clone /Users/ec2-user/runner/_work/_temp/conda-python-3.9 2024-08-22T20:40:11.4506160Z Source: /Users/ec2-user/runner/_work/_temp/conda-python-3.9 2024-08-22T20:40:11.4506790Z Destination: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 2024-08-22T20:40:11.4507200Z Packages: 33 2024-08-22T20:40:11.4507410Z Files: 0 2024-08-22T20:40:11.6369340Z Preparing transaction: ...working... done 2024-08-22T20:40:14.3403850Z Verifying transaction: ...working... done 2024-08-22T20:40:18.1695350Z Executing transaction: ...working... done 2024-08-22T20:40:18.2645910Z + set +e 2024-08-22T20:40:18.2654250Z ++ /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda package -p /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 -u 2024-08-22T20:40:18.2656230Z ++ grep -v '^#' 2024-08-22T20:40:18.2656810Z ++ wc -l 2024-08-22T20:40:18.2665700Z ++ xargs 2024-08-22T20:40:18.6753780Z + UNTRACKED_FILES_COUNT=0 2024-08-22T20:40:18.6754210Z + set -e 2024-08-22T20:40:18.6754450Z + [[ -z 0 ]] 2024-08-22T20:40:18.6754670Z + [[ 0 == \0 ]] 2024-08-22T20:40:18.6754880Z + [[ -f '' ]] 2024-08-22T20:40:18.6755100Z + [[ -n '' ]] 2024-08-22T20:40:18.6755540Z + echo CONDA_ENV=/Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 2024-08-22T20:40:18.6756140Z + echo CONDA_PREFIX=/Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 2024-08-22T20:40:18.6765070Z + echo 'CONDA_RUN=/Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 --no-capture-output' 2024-08-22T20:40:18.6771440Z + [[ 3.9 == \3\.\1\1 ]] 2024-08-22T20:40:18.6772230Z + echo 'CONDA_INSTALL=/Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133' 2024-08-22T20:40:18.6801950Z ##[group]Run CONDA_RUNTIME=$(which conda) 2024-08-22T20:40:18.6802230Z CONDA_RUNTIME=$(which conda) 2024-08-22T20:40:18.6802470Z  2024-08-22T20:40:18.6802640Z set -euxo pipefail 2024-08-22T20:40:18.6802950Z "${CONDA_RUNTIME}" config --set channel_priority false 2024-08-22T20:40:18.6820810Z shell: /bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-22T20:40:18.6821090Z env: 2024-08-22T20:40:18.6821260Z REPOSITORY: pytorch/torchchat 2024-08-22T20:40:18.6827790Z SCRIPT: set -x # NS/MC: Remove previous installation of torch and torchao first # as this script does not install anything into conda env but rather as system dep pip3 uninstall -y torch || true set -eou pipefail pip3 uninstall -y torchao || true set -eou pipefail echo "::group::Print machine info" uname -a sysctl machdep.cpu.brand_string sysctl machdep.cpu.core_count echo "::endgroup::" echo "::group::Install requirements" # Install requirements ./install_requirements.sh ls -la pwd pip3 list python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")' echo "::endgroup::" echo "::group::Download checkpoints" ( mkdir -p checkpoints/stories15M pushd checkpoints/stories15M curl -fsSL -O https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt curl -fsSL -O https://github.com/karpathy/llama2.c/raw/master/tokenizer.model popd ) echo "::endgroup::" echo "::group::Run inference" export MODEL_PATH=checkpoints/stories15M/stories15M.pt export MODEL_NAME=stories15M export MODEL_DIR=/tmp for DTYPE in float16 float32; do # if [ $(uname -s) == Darwin ]; then # export DTYPE=float16 # fi python3 torchchat.py generate --dtype ${DTYPE} --device mps --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 done 2024-08-22T20:40:18.6835330Z PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin 2024-08-22T20:40:18.6836270Z CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda 2024-08-22T20:40:18.6836730Z CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 2024-08-22T20:40:18.6837220Z CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 2024-08-22T20:40:18.6837980Z CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 --no-capture-output 2024-08-22T20:40:18.6839000Z CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 2024-08-22T20:40:18.6839610Z ##[endgroup] 2024-08-22T20:40:18.7249190Z + /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda config --set channel_priority false 2024-08-22T20:40:18.9465760Z ##[group]Run actions/checkout@v3 2024-08-22T20:40:18.9465990Z with: 2024-08-22T20:40:18.9466160Z repository: pytorch/torchchat 2024-08-22T20:40:18.9466380Z ref: refs/pull/1044/merge 2024-08-22T20:40:18.9466590Z path: pytorch/torchchat 2024-08-22T20:40:18.9466790Z fetch-depth: 1 2024-08-22T20:40:18.9467060Z token: *** 2024-08-22T20:40:18.9467220Z ssh-strict: true 2024-08-22T20:40:18.9467410Z persist-credentials: true 2024-08-22T20:40:18.9467610Z clean: true 2024-08-22T20:40:18.9467790Z sparse-checkout-cone-mode: true 2024-08-22T20:40:18.9468010Z fetch-tags: false 2024-08-22T20:40:18.9468180Z lfs: false 2024-08-22T20:40:18.9468350Z set-safe-directory: true 2024-08-22T20:40:18.9468530Z env: 2024-08-22T20:40:18.9468690Z REPOSITORY: pytorch/torchchat 2024-08-22T20:40:18.9475230Z SCRIPT: set -x # NS/MC: Remove previous installation of torch and torchao first # as this script does not install anything into conda env but rather as system dep pip3 uninstall -y torch || true set -eou pipefail pip3 uninstall -y torchao || true set -eou pipefail echo "::group::Print machine info" uname -a sysctl machdep.cpu.brand_string sysctl machdep.cpu.core_count echo "::endgroup::" echo "::group::Install requirements" # Install requirements ./install_requirements.sh ls -la pwd pip3 list python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")' echo "::endgroup::" echo "::group::Download checkpoints" ( mkdir -p checkpoints/stories15M pushd checkpoints/stories15M curl -fsSL -O https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt curl -fsSL -O https://github.com/karpathy/llama2.c/raw/master/tokenizer.model popd ) echo "::endgroup::" echo "::group::Run inference" export MODEL_PATH=checkpoints/stories15M/stories15M.pt export MODEL_NAME=stories15M export MODEL_DIR=/tmp for DTYPE in float16 float32; do # if [ $(uname -s) == Darwin ]; then # export DTYPE=float16 # fi python3 torchchat.py generate --dtype ${DTYPE} --device mps --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 done 2024-08-22T20:40:18.9482540Z PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin 2024-08-22T20:40:18.9483480Z CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda 2024-08-22T20:40:18.9483930Z CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 2024-08-22T20:40:18.9484410Z CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 2024-08-22T20:40:18.9485170Z CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 --no-capture-output 2024-08-22T20:40:18.9486180Z CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 2024-08-22T20:40:18.9486790Z ##[endgroup] 2024-08-22T20:40:19.0312420Z Syncing repository: pytorch/torchchat 2024-08-22T20:40:19.0315390Z ##[group]Getting Git version info 2024-08-22T20:40:19.0316320Z Working directory is '/Users/ec2-user/runner/_work/torchchat/torchchat/pytorch/torchchat' 2024-08-22T20:40:19.0331290Z [command]/usr/bin/git version 2024-08-22T20:40:19.0396730Z git version 2.39.3 (Apple Git-146) 2024-08-22T20:40:19.0409190Z ##[endgroup] 2024-08-22T20:40:19.0417070Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/5cb4c8f5-e704-476d-9265-f234c35e3021' before making global git config changes 2024-08-22T20:40:19.0417940Z Adding repository directory to the temporary git global config as a safe directory 2024-08-22T20:40:19.0419870Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/torchchat/torchchat/pytorch/torchchat 2024-08-22T20:40:19.0488890Z ##[group]Initializing the repository 2024-08-22T20:40:19.0490800Z [command]/usr/bin/git init /Users/ec2-user/runner/_work/torchchat/torchchat/pytorch/torchchat 2024-08-22T20:40:19.0637420Z Initialized empty Git repository in /Users/ec2-user/runner/_work/torchchat/torchchat/pytorch/torchchat/.git/ 2024-08-22T20:40:19.0651830Z [command]/usr/bin/git remote add origin https://github.com/pytorch/torchchat 2024-08-22T20:40:19.0713740Z ##[endgroup] 2024-08-22T20:40:19.0714170Z ##[group]Disabling automatic garbage collection 2024-08-22T20:40:19.0715790Z [command]/usr/bin/git config --local gc.auto 0 2024-08-22T20:40:19.0775980Z ##[endgroup] 2024-08-22T20:40:19.0776320Z ##[group]Setting up auth 2024-08-22T20:40:19.0779080Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2024-08-22T20:40:19.0834930Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2024-08-22T20:40:19.1315110Z [command]/usr/bin/git config --local --name-only 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2024-08-22T20:40:19.4289480Z remote: Total 237 (delta 16), reused 151 (delta 7), pack-reused 0 (from 0) 2024-08-22T20:40:19.4290320Z Receiving objects: 94% (223/237) 2024-08-22T20:40:19.4290820Z Receiving objects: 95% (226/237) 2024-08-22T20:40:19.4291330Z Receiving objects: 96% (228/237) 2024-08-22T20:40:19.4291850Z Receiving objects: 97% (230/237) 2024-08-22T20:40:19.4292360Z Receiving objects: 98% (233/237) 2024-08-22T20:40:19.4292850Z Receiving objects: 99% (235/237) 2024-08-22T20:40:19.4293330Z Receiving objects: 100% (237/237) 2024-08-22T20:40:19.4294000Z Receiving objects: 100% (237/237), 488.09 KiB | 32.54 MiB/s, done. 2024-08-22T20:40:19.4296210Z Resolving deltas: 0% (0/16) 2024-08-22T20:40:19.4296720Z Resolving deltas: 6% (1/16) 2024-08-22T20:40:19.4306630Z Resolving deltas: 12% (2/16) 2024-08-22T20:40:19.4307130Z Resolving deltas: 18% (3/16) 2024-08-22T20:40:19.4307610Z Resolving deltas: 25% (4/16) 2024-08-22T20:40:19.4308100Z Resolving deltas: 31% (5/16) 2024-08-22T20:40:19.4308580Z Resolving deltas: 37% (6/16) 2024-08-22T20:40:19.4309060Z Resolving deltas: 43% (7/16) 2024-08-22T20:40:19.4309530Z Resolving deltas: 50% (8/16) 2024-08-22T20:40:19.4310000Z Resolving deltas: 56% (9/16) 2024-08-22T20:40:19.4310720Z Resolving deltas: 62% (10/16) 2024-08-22T20:40:19.4311200Z Resolving deltas: 68% (11/16) 2024-08-22T20:40:19.4311680Z Resolving deltas: 75% (12/16) 2024-08-22T20:40:19.4312150Z Resolving deltas: 81% (13/16) 2024-08-22T20:40:19.4312610Z Resolving deltas: 93% (15/16) 2024-08-22T20:40:19.4313070Z Resolving deltas: 100% (16/16) 2024-08-22T20:40:19.4313550Z Resolving deltas: 100% (16/16), done. 2024-08-22T20:40:19.4466970Z From https://github.com/pytorch/torchchat 2024-08-22T20:40:19.4467750Z * [new ref] refs/pull/1044/merge -> pull/1044/merge 2024-08-22T20:40:19.4518530Z ##[endgroup] 2024-08-22T20:40:19.4519000Z ##[group]Determining the checkout info 2024-08-22T20:40:19.4519770Z ##[endgroup] 2024-08-22T20:40:19.4520220Z ##[group]Checking out the ref 2024-08-22T20:40:19.4522930Z [command]/usr/bin/git checkout --progress --force refs/remotes/pull/1044/merge 2024-08-22T20:40:19.4794230Z Note: switching to 'refs/remotes/pull/1044/merge'. 2024-08-22T20:40:19.4794530Z 2024-08-22T20:40:19.4794830Z You are in 'detached HEAD' state. You can look around, make experimental 2024-08-22T20:40:19.4795340Z changes and commit them, and you can discard any commits you make in this 2024-08-22T20:40:19.4795860Z state without impacting any branches by switching back to a branch. 2024-08-22T20:40:19.4796150Z 2024-08-22T20:40:19.4796350Z If you want to create a new branch to retain commits you create, you may 2024-08-22T20:40:19.4796910Z do so (now or later) by using -c with the switch command. Example: 2024-08-22T20:40:19.4797200Z 2024-08-22T20:40:19.4797320Z git switch -c 2024-08-22T20:40:19.4797490Z 2024-08-22T20:40:19.4797580Z Or undo this operation with: 2024-08-22T20:40:19.4797740Z 2024-08-22T20:40:19.4797820Z git switch - 2024-08-22T20:40:19.4797930Z 2024-08-22T20:40:19.4798150Z Turn off this advice by setting config variable advice.detachedHead to false 2024-08-22T20:40:19.4798480Z 2024-08-22T20:40:19.4798830Z HEAD is now at 0e4d4b1 Merge c8dc18a48d66f51855d89294f3ca800692cd5dad into d5bb3c6659c8978a95c5141eb31e6e58f94af20a 2024-08-22T20:40:19.4799810Z ##[endgroup] 2024-08-22T20:40:19.4869670Z [command]/usr/bin/git log -1 --format='%H' 2024-08-22T20:40:19.4927070Z '0e4d4b184770ee5c0943c8ad43f2a1be7a2dd2c9' 2024-08-22T20:40:19.4986370Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2024-08-22T20:40:19.4986760Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2024-08-22T20:40:19.4987080Z mkdir -p "${RUNNER_ARTIFACT_DIR}" 2024-08-22T20:40:19.4987460Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}" 2024-08-22T20:40:19.4987810Z  2024-08-22T20:40:19.4988060Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results" 2024-08-22T20:40:19.4988430Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}" 2024-08-22T20:40:19.4988860Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}" 2024-08-22T20:40:19.5006630Z shell: /bin/bash -e {0} 2024-08-22T20:40:19.5006830Z env: 2024-08-22T20:40:19.5007010Z REPOSITORY: pytorch/torchchat 2024-08-22T20:40:19.5013650Z SCRIPT: set -x # NS/MC: Remove previous installation of torch and torchao first # as this script does not install anything into conda env but rather as system dep pip3 uninstall -y torch || true set -eou pipefail pip3 uninstall -y torchao || true set -eou pipefail echo "::group::Print machine info" uname -a sysctl machdep.cpu.brand_string sysctl machdep.cpu.core_count echo "::endgroup::" echo "::group::Install requirements" # Install requirements ./install_requirements.sh ls -la pwd pip3 list python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")' echo "::endgroup::" echo "::group::Download checkpoints" ( mkdir -p checkpoints/stories15M pushd checkpoints/stories15M curl -fsSL -O https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt curl -fsSL -O https://github.com/karpathy/llama2.c/raw/master/tokenizer.model popd ) echo "::endgroup::" echo "::group::Run inference" export MODEL_PATH=checkpoints/stories15M/stories15M.pt export MODEL_NAME=stories15M export MODEL_DIR=/tmp for DTYPE in float16 float32; do # if [ $(uname -s) == Darwin ]; then # export DTYPE=float16 # fi python3 torchchat.py generate --dtype ${DTYPE} --device mps --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 done 2024-08-22T20:40:19.5020990Z PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin 2024-08-22T20:40:19.5021940Z CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda 2024-08-22T20:40:19.5022400Z CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 2024-08-22T20:40:19.5022890Z CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 2024-08-22T20:40:19.5023650Z CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 --no-capture-output 2024-08-22T20:40:19.5024670Z CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 2024-08-22T20:40:19.5025290Z ##[endgroup] 2024-08-22T20:40:19.5526140Z ##[group]Run { 2024-08-22T20:40:19.5526370Z { 2024-08-22T20:40:19.5526560Z  echo "#!/usr/bin/env bash"; 2024-08-22T20:40:19.5526830Z  echo "set -eou pipefail"; 2024-08-22T20:40:19.5527200Z  # Source conda so it's available to the script environment 2024-08-22T20:40:19.5527600Z  echo 'eval "$(conda shell.bash hook)"'; 2024-08-22T20:40:19.5527900Z  echo "${SCRIPT}"; 2024-08-22T20:40:19.5528140Z } > "${RUNNER_TEMP}/exec_script" 2024-08-22T20:40:19.5528430Z while read line; do 2024-08-22T20:40:19.5528650Z  eval "export ${line}" 2024-08-22T20:40:19.5528990Z done < "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2024-08-22T20:40:19.5529590Z python3 "/Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/.github/scripts/run_with_env_secrets.py" "" 2024-08-22T20:40:19.5549860Z shell: /bin/bash -l {0} 2024-08-22T20:40:19.5550070Z env: 2024-08-22T20:40:19.5550280Z REPOSITORY: pytorch/torchchat 2024-08-22T20:40:19.5556850Z SCRIPT: set -x # NS/MC: Remove previous installation of torch and torchao first # as this script does not install anything into conda env but rather as system dep pip3 uninstall -y torch || true set -eou pipefail pip3 uninstall -y torchao || true set -eou pipefail echo "::group::Print machine info" uname -a sysctl machdep.cpu.brand_string sysctl machdep.cpu.core_count echo "::endgroup::" echo "::group::Install requirements" # Install requirements ./install_requirements.sh ls -la pwd pip3 list python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")' echo "::endgroup::" echo "::group::Download checkpoints" ( mkdir -p checkpoints/stories15M pushd checkpoints/stories15M curl -fsSL -O https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt curl -fsSL -O https://github.com/karpathy/llama2.c/raw/master/tokenizer.model popd ) echo "::endgroup::" echo "::group::Run inference" export MODEL_PATH=checkpoints/stories15M/stories15M.pt export MODEL_NAME=stories15M export MODEL_DIR=/tmp for DTYPE in float16 float32; do # if [ $(uname -s) == Darwin ]; then # export DTYPE=float16 # fi python3 torchchat.py generate --dtype ${DTYPE} --device mps --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --dtype ${DTYPE} --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 done 2024-08-22T20:40:19.5564310Z PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin 2024-08-22T20:40:19.5565270Z CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda 2024-08-22T20:40:19.5565760Z CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 2024-08-22T20:40:19.5566260Z CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 2024-08-22T20:40:19.5567050Z CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 --no-capture-output 2024-08-22T20:40:19.5568310Z CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 2024-08-22T20:40:19.5569050Z RUNNER_ARTIFACT_DIR: /Users/ec2-user/runner/_work/_temp/artifacts 2024-08-22T20:40:19.5569490Z RUNNER_TEST_RESULTS_DIR: /Users/ec2-user/runner/_work/_temp/test-results 2024-08-22T20:40:19.5570050Z ALL_SECRETS: { "github_token": "***" } 2024-08-22T20:40:19.5570300Z ##[endgroup] 2024-08-22T20:40:19.7207340Z /Users/ec2-user/runner/_work/_temp/70c455a6-1e3c-4622-bce6-9233c71bbd20.sh: line 10: /Users/ec2-user/runner/_work/_temp/github_env_10515112133: No such file or directory 2024-08-22T20:40:33.1930160Z Running command: bash /Users/ec2-user/runner/_work/_temp/exec_script 2024-08-22T20:40:33.1930710Z + pip3 uninstall -y torch 2024-08-22T20:40:33.1931010Z WARNING: Skipping torch as it is not installed. 2024-08-22T20:40:33.1931350Z + set -eou pipefail 2024-08-22T20:40:33.1931610Z + pip3 uninstall -y torchao 2024-08-22T20:40:33.1931910Z WARNING: Skipping torchao as it is not installed. 2024-08-22T20:40:33.1932230Z + set -eou pipefail 2024-08-22T20:40:33.1940310Z + echo '::group::Print machine info' 2024-08-22T20:40:33.1940890Z ##[group]Print machine info 2024-08-22T20:40:33.1941120Z + uname -a 2024-08-22T20:40:33.1941730Z Darwin ip-10-0-1-7.ec2.internal 23.4.0 Darwin Kernel Version 23.4.0: Fri Mar 15 00:12:41 PDT 2024; root:xnu-10063.101.17~1/RELEASE_ARM64_T8103 arm64 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2024-08-22T20:41:37.3692170Z Downloading rpds_py-0.20.0-cp312-cp312-macosx_11_0_arm64.whl (313 kB) 2024-08-22T20:41:37.3692640Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 313.1/313.1 kB 27.6 MB/s eta 0:00:00 2024-08-22T20:41:37.3693030Z Downloading smmap-5.0.1-py3-none-any.whl (24 kB) 2024-08-22T20:41:37.3693510Z Building wheels for collected packages: zstd, rouge-score, sqlitedict, word2number 2024-08-22T20:41:37.3693950Z Building wheel for zstd (setup.py): started 2024-08-22T20:41:37.3694350Z Building wheel for zstd (setup.py): finished with status 'done' 2024-08-22T20:41:37.3695220Z Created wheel for zstd: filename=zstd-1.5.5.1-cp312-cp312-macosx_11_0_arm64.whl size=195142 sha256=6a20f7f42141853eb7139d20f73fc5875aea337d852a0b380170434dad5a61d1 2024-08-22T20:41:37.3696280Z Stored in directory: /Users/ec2-user/Library/Caches/pip/wheels/8b/95/6e/34f7b1ba32cf67615e22e6c973c3223fb5863e03630eb14cac 2024-08-22T20:41:37.3696940Z Building wheel for rouge-score (setup.py): started 2024-08-22T20:41:37.3697380Z Building wheel for rouge-score (setup.py): finished with status 'done' 2024-08-22T20:41:37.3698230Z Created wheel for rouge-score: filename=rouge_score-0.1.2-py3-none-any.whl size=24934 sha256=154d17fa0ec3ca9ef1200c51cd27fc564302e17ded5cb5d0a42a0ae808558305 2024-08-22T20:41:37.3699280Z Stored in directory: /Users/ec2-user/Library/Caches/pip/wheels/85/9d/af/01feefbe7d55ef5468796f0c68225b6788e85d9d0a281e7a70 2024-08-22T20:41:37.3699990Z Building wheel for sqlitedict (setup.py): started 2024-08-22T20:41:37.3700430Z Building wheel for sqlitedict (setup.py): finished with status 'done' 2024-08-22T20:41:37.3701260Z Created wheel for sqlitedict: filename=sqlitedict-2.1.0-py3-none-any.whl size=16862 sha256=2e95be19d5860eee4a950332a6c2d3c7e552d9229208bd2539b03e46b04cd86c 2024-08-22T20:41:37.3702290Z Stored in directory: /Users/ec2-user/Library/Caches/pip/wheels/7a/6f/21/fc016aef45ffcabe27129a2252f061387cbf278d2086225a64 2024-08-22T20:41:37.3702930Z Building wheel for word2number (setup.py): started 2024-08-22T20:41:37.3703370Z Building wheel for word2number (setup.py): finished with status 'done' 2024-08-22T20:42:27.2407590Z Created wheel for word2number: filename=word2number-1.1-py3-none-any.whl size=5566 sha256=300383d47d0dc066d7546fbc0b9fc14089fbb7b862487296eb6d13de6396acc5 2024-08-22T20:42:27.2408770Z Stored in directory: /Users/ec2-user/Library/Caches/pip/wheels/5b/79/fb/d25928e599c7e11fe4e00d32048cd74933f34a74c633d2aea6 2024-08-22T20:42:27.2409520Z Successfully built zstd rouge-score sqlitedict word2number 2024-08-22T20:42:27.2414080Z Installing collected packages: zstd, word2number, sqlitedict, sentencepiece, pytz, ninja, mpmath, xxhash, tzdata, typing-extensions, tornado, toml, threadpoolctl, tenacity, tcolorpy, tabulate, sympy, smmap, six, safetensors, rpds-py, regex, pyyaml, pygments, pycryptodomex, pybind11, psutil, protobuf, portalocker, pillow, pathvalidate, numpy, networkx, narwhals, multidict, more-itertools, mdurl, MarkupSafe, lxml, joblib, itsdangerous, fsspec, frozenlist, filelock, dill, colorama, cmake, click, chardet, cachetools, blinker, attrs, aiohappyeyeballs, absl-py, yarl, Werkzeug, tqdm-multiprocess, tiktoken, snakeviz, scipy, sacrebleu, referencing, python-dateutil, pyarrow, numexpr, nltk, multiprocess, mbstrdecoder, markdown-it-py, jsonlines, Jinja2, huggingface_hub, gitdb, gguf, blobfile, aiosignal, typepy, torch, tokenizers, scikit-learn, rouge-score, rich, pydeck, pandas, jsonschema-specifications, gitpython, flask, aiohttp, transformers, jsonschema, accelerate, peft, datasets, DataProperty, altair, tabledata, streamlit, evaluate, pytablewriter, lm-eval 2024-08-22T20:42:27.2423900Z Successfully installed DataProperty-1.0.1 Jinja2-3.1.4 MarkupSafe-2.1.5 Werkzeug-3.0.4 absl-py-2.1.0 accelerate-0.33.0 aiohappyeyeballs-2.4.0 aiohttp-3.10.5 aiosignal-1.3.1 altair-5.4.0 attrs-24.2.0 blinker-1.8.2 blobfile-2.1.1 cachetools-5.5.0 chardet-5.2.0 click-8.1.7 cmake-3.30.2 colorama-0.4.6 datasets-2.21.0 dill-0.3.8 evaluate-0.4.2 filelock-3.15.4 flask-3.0.3 frozenlist-1.4.1 fsspec-2024.6.1 gguf-0.9.1 gitdb-4.0.11 gitpython-3.1.43 huggingface_hub-0.24.6 itsdangerous-2.2.0 joblib-1.4.2 jsonlines-4.0.0 jsonschema-4.23.0 jsonschema-specifications-2023.12.1 lm-eval-0.4.2 lxml-4.9.4 markdown-it-py-3.0.0 mbstrdecoder-1.1.3 mdurl-0.1.2 more-itertools-10.4.0 mpmath-1.3.0 multidict-6.0.5 multiprocess-0.70.16 narwhals-1.5.2 networkx-3.3 ninja-1.11.1.1 nltk-3.9.1 numexpr-2.10.1 numpy-1.26.4 pandas-2.2.2 pathvalidate-3.2.0 peft-0.12.0 pillow-10.4.0 portalocker-2.10.1 protobuf-5.27.3 psutil-6.0.0 pyarrow-17.0.0 pybind11-2.13.5 pycryptodomex-3.20.0 pydeck-0.9.1 pygments-2.18.0 pytablewriter-1.2.0 python-dateutil-2.9.0.post0 pytz-2024.1 pyyaml-6.0.2 referencing-0.35.1 regex-2024.7.24 rich-13.7.1 rouge-score-0.1.2 rpds-py-0.20.0 sacrebleu-2.4.3 safetensors-0.4.4 scikit-learn-1.5.1 scipy-1.14.1 sentencepiece-0.2.0 six-1.16.0 smmap-5.0.1 snakeviz-2.2.0 sqlitedict-2.1.0 streamlit-1.37.1 sympy-1.13.2 tabledata-1.3.3 tabulate-0.9.0 tcolorpy-0.1.6 tenacity-8.5.0 threadpoolctl-3.5.0 tiktoken-0.7.0 tokenizers-0.19.1 toml-0.10.2 torch-2.4.0 tornado-6.4.1 tqdm-multiprocess-0.0.11 transformers-4.44.2 typepy-1.3.2 typing-extensions-4.12.2 tzdata-2024.1 word2number-1.1 xxhash-3.5.0 yarl-1.9.4 zstd-1.5.5.1 2024-08-22T20:42:27.2429820Z + pip3 uninstall -y triton 2024-08-22T20:42:27.2430090Z WARNING: Skipping triton as it is not installed. 2024-08-22T20:42:27.2430690Z + pip3 install --extra-index-url https://download.pytorch.org/whl/nightly/cpu torch==2.5.0.dev20240814 2024-08-22T20:42:27.2431600Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu 2024-08-22T20:42:27.2432050Z Collecting torch==2.5.0.dev20240814 2024-08-22T20:42:27.2432700Z Downloading https://download.pytorch.org/whl/nightly/cpu/torch-2.5.0.dev20240814-cp312-none-macosx_11_0_arm64.whl (63.4 MB) 2024-08-22T20:42:27.2433440Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.4/63.4 MB 42.0 MB/s eta 0:00:00 2024-08-22T20:42:27.2434280Z Requirement already satisfied: filelock in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from torch==2.5.0.dev20240814) (3.15.4) 2024-08-22T20:42:27.2435500Z Requirement already satisfied: typing-extensions>=4.8.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from torch==2.5.0.dev20240814) (4.12.2) 2024-08-22T20:42:27.2436700Z Requirement already satisfied: networkx in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from torch==2.5.0.dev20240814) (3.3) 2024-08-22T20:42:27.2437880Z Requirement already satisfied: jinja2 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from torch==2.5.0.dev20240814) (3.1.4) 2024-08-22T20:42:27.2439020Z Requirement already satisfied: fsspec in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from torch==2.5.0.dev20240814) (2024.6.1) 2024-08-22T20:42:27.2440190Z Requirement already satisfied: setuptools in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from torch==2.5.0.dev20240814) (69.5.1) 2024-08-22T20:42:27.2440920Z Collecting sympy==1.13.1 (from torch==2.5.0.dev20240814) 2024-08-22T20:42:27.2441500Z Using cached https://download.pytorch.org/whl/nightly/sympy-1.13.1-py3-none-any.whl (6.2 MB) 2024-08-22T20:42:27.2442560Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from sympy==1.13.1->torch==2.5.0.dev20240814) (1.3.0) 2024-08-22T20:42:27.2443830Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from jinja2->torch==2.5.0.dev20240814) (2.1.5) 2024-08-22T20:42:27.2444770Z Installing collected packages: sympy, torch 2024-08-22T20:42:27.2445070Z Attempting uninstall: sympy 2024-08-22T20:42:27.2445340Z Found existing installation: sympy 1.13.2 2024-08-22T20:42:27.2445660Z Uninstalling sympy-1.13.2: 2024-08-22T20:42:27.2445950Z Successfully uninstalled sympy-1.13.2 2024-08-22T20:42:27.2446240Z Attempting uninstall: torch 2024-08-22T20:42:27.2446490Z Found existing installation: torch 2.4.0 2024-08-22T20:42:27.2446790Z Uninstalling torch-2.4.0: 2024-08-22T20:42:27.2447070Z Successfully uninstalled torch-2.4.0 2024-08-22T20:42:27.2447460Z Successfully installed sympy-1.13.1 torch-2.5.0.dev20240814 2024-08-22T20:42:27.2447990Z + pip3 install git+https://github.com/pytorch/ao.git@e11201a62669f582d81cdb33e031a07fb8dfc4f3 2024-08-22T20:42:27.2448620Z Collecting git+https://github.com/pytorch/ao.git@e11201a62669f582d81cdb33e031a07fb8dfc4f3 2024-08-22T20:42:27.2449710Z Cloning https://github.com/pytorch/ao.git (to revision e11201a62669f582d81cdb33e031a07fb8dfc4f3) to /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-req-build-lqe5u0t7 2024-08-22T20:42:27.2459250Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/ao.git /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-req-build-lqe5u0t7 2024-08-22T20:42:27.2460320Z Running command git rev-parse -q --verify 'sha^e11201a62669f582d81cdb33e031a07fb8dfc4f3' 2024-08-22T20:42:27.2461040Z Running command git fetch -q https://github.com/pytorch/ao.git e11201a62669f582d81cdb33e031a07fb8dfc4f3 2024-08-22T20:42:27.2461700Z Running command git checkout -q e11201a62669f582d81cdb33e031a07fb8dfc4f3 2024-08-22T20:42:27.2462270Z Resolved https://github.com/pytorch/ao.git to commit e11201a62669f582d81cdb33e031a07fb8dfc4f3 2024-08-22T20:42:27.2462740Z Preparing metadata (setup.py): started 2024-08-22T20:42:27.2463340Z Preparing metadata (setup.py): finished with status 'done' 2024-08-22T20:42:27.2463720Z Building wheels for collected packages: torchao 2024-08-22T20:42:27.2464070Z Building wheel for torchao (setup.py): started 2024-08-22T20:42:27.2464710Z Building wheel for torchao (setup.py): finished with status 'done' 2024-08-22T20:42:27.2465700Z Created wheel for torchao: filename=torchao-0.4.0+gite11201a-cp312-cp312-macosx_11_0_arm64.whl size=340098 sha256=3f27f9b29335f66e0495b6a07ea5d0e4157233ee52eb7f7088045f06dff482d4 2024-08-22T20:42:27.2466900Z Stored in directory: /Users/ec2-user/Library/Caches/pip/wheels/8b/e8/3a/0a476b3ca77bd7e9d88e8ee96793fc8b83849d3ed8aabbd4ab 2024-08-22T20:42:27.2467540Z Successfully built torchao 2024-08-22T20:42:27.2467790Z Installing collected packages: torchao 2024-08-22T20:42:27.2468120Z Successfully installed torchao-0.4.0+gite11201a 2024-08-22T20:42:27.2468420Z + ls -la 2024-08-22T20:42:27.2468570Z total 352 2024-08-22T20:42:27.2468840Z drwxr-xr-x 42 ec2-user staff 1344 Aug 22 20:40 . 2024-08-22T20:42:27.2469230Z drwxr-xr-x 3 ec2-user staff 96 Aug 22 20:40 .. 2024-08-22T20:42:27.2469620Z drwxr-xr-x 3 ec2-user staff 96 Aug 22 20:40 .ci 2024-08-22T20:42:27.2470050Z -rw-r--r-- 1 ec2-user staff 6768 Aug 22 20:40 .clang-format 2024-08-22T20:42:27.2470490Z -rw-r--r-- 1 ec2-user staff 893 Aug 22 20:40 .flake8 2024-08-22T20:42:27.2470890Z drwxr-xr-x 13 ec2-user staff 416 Aug 22 20:40 .git 2024-08-22T20:42:27.2471290Z drwxr-xr-x 5 ec2-user staff 160 Aug 22 20:40 .github 2024-08-22T20:42:27.2471730Z -rw-r--r-- 1 ec2-user staff 285 Aug 22 20:40 .gitignore 2024-08-22T20:42:27.2472160Z -rw-r--r-- 1 ec2-user staff 396 Aug 22 20:40 .gitmodules 2024-08-22T20:42:27.2472610Z -rw-r--r-- 1 ec2-user staff 1313 Aug 22 20:40 .lintrunner.toml 2024-08-22T20:42:27.2473050Z drwxr-xr-x 3 ec2-user staff 96 Aug 22 20:40 .pins 2024-08-22T20:42:27.2473470Z -rw-r--r-- 1 ec2-user staff 543 Aug 22 20:40 CMakeLists.txt 2024-08-22T20:42:27.2473940Z -rw-r--r-- 1 ec2-user staff 3343 Aug 22 20:40 CODE_OF_CONDUCT.md 2024-08-22T20:42:27.2474700Z -rw-r--r-- 1 ec2-user staff 1248 Aug 22 20:40 CONTRIBUTING.md 2024-08-22T20:42:27.2475160Z -rw-r--r-- 1 ec2-user staff 1490 Aug 22 20:40 LICENSE 2024-08-22T20:42:27.2475570Z -rw-r--r-- 1 ec2-user staff 28025 Aug 22 20:40 README.md 2024-08-22T20:42:27.2476000Z drwxr-xr-x 4 ec2-user staff 128 Aug 22 20:40 android 2024-08-22T20:42:27.2476390Z drwxr-xr-x 3 ec2-user staff 96 Aug 22 20:40 api 2024-08-22T20:42:27.2476800Z drwxr-xr-x 3 ec2-user staff 96 Aug 22 20:40 assets 2024-08-22T20:42:27.2477210Z drwxr-xr-x 3 ec2-user staff 96 Aug 22 20:40 browser 2024-08-22T20:42:27.2477620Z drwxr-xr-x 12 ec2-user staff 384 Aug 22 20:40 build 2024-08-22T20:42:27.2478020Z -rw-r--r-- 1 ec2-user staff 15605 Aug 22 20:40 cli.py 2024-08-22T20:42:27.2478420Z drwxr-xr-x 5 ec2-user staff 160 Aug 22 20:40 config 2024-08-22T20:42:27.2478860Z -rw-r--r-- 1 ec2-user staff 1044 Aug 22 20:40 dist_run.py 2024-08-22T20:42:27.2479320Z drwxr-xr-x 14 ec2-user staff 448 Aug 22 20:40 distributed 2024-08-22T20:42:27.2479760Z drwxr-xr-x 14 ec2-user staff 448 Aug 22 20:40 docs 2024-08-22T20:42:27.2480180Z -rw-r--r-- 1 ec2-user staff 6848 Aug 22 20:40 download.py 2024-08-22T20:42:27.2480580Z -rw-r--r-- 1 ec2-user staff 9221 Aug 22 20:40 eval.py 2024-08-22T20:42:27.2480990Z -rw-r--r-- 1 ec2-user staff 5882 Aug 22 20:40 export.py 2024-08-22T20:42:27.2481420Z drwxr-xr-x 5 ec2-user staff 160 Aug 22 20:40 export_util 2024-08-22T20:42:27.2481860Z -rw-r--r-- 1 ec2-user staff 35149 Aug 22 20:40 generate.py 2024-08-22T20:42:27.2482340Z -rwxr-xr-x 1 ec2-user staff 2937 Aug 22 20:40 install_requirements.sh 2024-08-22T20:42:27.2482840Z drwxr-xr-x 4 ec2-user staff 128 Aug 22 20:40 quantization 2024-08-22T20:42:27.2483340Z -rw-r--r-- 1 ec2-user staff 337 Aug 22 20:40 requirements-lintrunner.txt 2024-08-22T20:42:27.2483860Z -rw-r--r-- 1 ec2-user staff 368 Aug 22 20:40 requirements.txt 2024-08-22T20:42:27.2484510Z drwxr-xr-x 8 ec2-user staff 256 Aug 22 20:40 runner 2024-08-22T20:42:27.2484930Z drwxr-xr-x 11 ec2-user staff 352 Aug 22 20:40 scripts 2024-08-22T20:42:27.2485360Z -rw-r--r-- 1 ec2-user staff 4235 Aug 22 20:40 server.py 2024-08-22T20:42:27.2485790Z drwxr-xr-x 10 ec2-user staff 320 Aug 22 20:40 tokenizer 2024-08-22T20:42:27.2486230Z drwxr-xr-x 3 ec2-user staff 96 Aug 22 20:40 torchchat 2024-08-22T20:42:27.2486670Z -rw-r--r-- 1 ec2-user staff 3485 Aug 22 20:40 torchchat.py 2024-08-22T20:42:27.2487130Z drwxr-xr-x 5 ec2-user staff 160 Aug 22 20:40 utils 2024-08-22T20:42:27.2487440Z + pwd 2024-08-22T20:42:27.2487760Z /Users/ec2-user/runner/_work/torchchat/torchchat/pytorch/torchchat 2024-08-22T20:42:27.2488130Z + pip3 list 2024-08-22T20:42:27.2488310Z Package Version 2024-08-22T20:42:27.2488590Z ------------------------- ----------------- 2024-08-22T20:42:27.2488880Z absl-py 2.1.0 2024-08-22T20:42:27.2489120Z accelerate 0.33.0 2024-08-22T20:42:27.2489360Z aiohappyeyeballs 2.4.0 2024-08-22T20:42:27.2489600Z aiohttp 3.10.5 2024-08-22T20:42:27.2489820Z aiosignal 1.3.1 2024-08-22T20:42:27.2490040Z altair 5.4.0 2024-08-22T20:42:27.2490290Z anaconda-anon-usage 0.4.4 2024-08-22T20:42:27.2490540Z archspec 0.2.3 2024-08-22T20:42:27.2490760Z attrs 24.2.0 2024-08-22T20:42:27.2490970Z blinker 1.8.2 2024-08-22T20:42:27.2491180Z blobfile 2.1.1 2024-08-22T20:42:27.2491390Z boltons 23.0.0 2024-08-22T20:42:27.2491610Z Brotli 1.0.9 2024-08-22T20:42:27.2491920Z cachetools 5.5.0 2024-08-22T20:42:27.2492170Z certifi 2024.6.2 2024-08-22T20:42:27.2492410Z cffi 1.16.0 2024-08-22T20:42:27.2492630Z chardet 5.2.0 2024-08-22T20:42:27.2492890Z charset-normalizer 2.0.4 2024-08-22T20:42:27.2493120Z click 8.1.7 2024-08-22T20:42:27.2493530Z cmake 3.30.2 2024-08-22T20:42:27.2493750Z colorama 0.4.6 2024-08-22T20:42:27.2493980Z conda 24.5.0 2024-08-22T20:42:27.2494280Z conda-content-trust 0.2.0 2024-08-22T20:42:27.2500730Z conda-libmamba-solver 24.1.0 2024-08-22T20:42:27.2501080Z conda-package-handling 2.3.0 2024-08-22T20:42:27.2501330Z conda_package_streaming 0.10.0 2024-08-22T20:42:27.2501570Z cryptography 42.0.5 2024-08-22T20:42:27.2501800Z DataProperty 1.0.1 2024-08-22T20:42:27.2502030Z datasets 2.21.0 2024-08-22T20:42:27.2502260Z dill 0.3.8 2024-08-22T20:42:27.2502470Z distro 1.9.0 2024-08-22T20:42:27.2502690Z evaluate 0.4.2 2024-08-22T20:42:27.2502910Z filelock 3.15.4 2024-08-22T20:42:27.2503130Z Flask 3.0.3 2024-08-22T20:42:27.2503370Z frozendict 2.4.2 2024-08-22T20:42:27.2503600Z frozenlist 1.4.1 2024-08-22T20:42:27.2503820Z fsspec 2024.6.1 2024-08-22T20:42:27.2504060Z gguf 0.9.1 2024-08-22T20:42:27.2504280Z gitdb 4.0.11 2024-08-22T20:42:27.2504500Z GitPython 3.1.43 2024-08-22T20:42:27.2504770Z huggingface-hub 0.24.6 2024-08-22T20:42:27.2505000Z idna 3.7 2024-08-22T20:42:27.2505220Z itsdangerous 2.2.0 2024-08-22T20:42:27.2505450Z Jinja2 3.1.4 2024-08-22T20:42:27.2505670Z joblib 1.4.2 2024-08-22T20:42:27.2505900Z jsonlines 4.0.0 2024-08-22T20:42:27.2506130Z jsonpatch 1.33 2024-08-22T20:42:27.2506360Z jsonpointer 2.1 2024-08-22T20:42:27.2506610Z jsonschema 4.23.0 2024-08-22T20:42:27.2506890Z jsonschema-specifications 2023.12.1 2024-08-22T20:42:27.2507140Z libmambapy 1.5.8 2024-08-22T20:42:27.2507570Z lm_eval 0.4.2 2024-08-22T20:42:27.2507790Z lxml 4.9.4 2024-08-22T20:42:27.2508040Z markdown-it-py 3.0.0 2024-08-22T20:42:27.2508270Z MarkupSafe 2.1.5 2024-08-22T20:42:27.2508500Z mbstrdecoder 1.1.3 2024-08-22T20:42:27.2508720Z mdurl 0.1.2 2024-08-22T20:42:27.2509080Z menuinst 2.1.1 2024-08-22T20:42:27.2509400Z more-itertools 10.4.0 2024-08-22T20:42:27.2509650Z mpmath 1.3.0 2024-08-22T20:42:27.2509880Z multidict 6.0.5 2024-08-22T20:42:27.2510120Z multiprocess 0.70.16 2024-08-22T20:42:27.2510360Z narwhals 1.5.2 2024-08-22T20:42:27.2510580Z networkx 3.3 2024-08-22T20:42:27.2510800Z ninja 1.11.1.1 2024-08-22T20:42:27.2511040Z nltk 3.9.1 2024-08-22T20:42:27.2511260Z numexpr 2.10.1 2024-08-22T20:42:27.2511500Z numpy 1.26.4 2024-08-22T20:42:27.2511720Z packaging 23.2 2024-08-22T20:42:27.2511950Z pandas 2.2.2 2024-08-22T20:42:27.2512180Z pathvalidate 3.2.0 2024-08-22T20:42:27.2512400Z peft 0.12.0 2024-08-22T20:42:27.2512630Z pillow 10.4.0 2024-08-22T20:42:27.2512860Z pip 24.0 2024-08-22T20:42:27.2513080Z platformdirs 3.10.0 2024-08-22T20:42:27.2513310Z pluggy 1.0.0 2024-08-22T20:42:27.2513530Z portalocker 2.10.1 2024-08-22T20:42:27.2513760Z protobuf 5.27.3 2024-08-22T20:42:27.2513980Z psutil 6.0.0 2024-08-22T20:42:27.2514210Z pyarrow 17.0.0 2024-08-22T20:42:27.2514430Z pybind11 2.13.5 2024-08-22T20:42:27.2514660Z pycosat 0.6.6 2024-08-22T20:42:27.2514880Z pycparser 2.21 2024-08-22T20:42:27.2515110Z pycryptodomex 3.20.0 2024-08-22T20:42:27.2515340Z pydeck 0.9.1 2024-08-22T20:42:27.2515570Z Pygments 2.18.0 2024-08-22T20:42:27.2516040Z PySocks 1.7.1 2024-08-22T20:42:27.2516270Z pytablewriter 1.2.0 2024-08-22T20:42:27.2516550Z python-dateutil 2.9.0.post0 2024-08-22T20:42:27.2516800Z pytz 2024.1 2024-08-22T20:42:27.2517030Z PyYAML 6.0.2 2024-08-22T20:42:27.2517280Z referencing 0.35.1 2024-08-22T20:42:27.2517550Z regex 2024.7.24 2024-08-22T20:42:27.2517810Z requests 2.32.2 2024-08-22T20:42:27.2518030Z rich 13.7.1 2024-08-22T20:42:27.2518250Z rouge_score 0.1.2 2024-08-22T20:42:27.2518540Z rpds-py 0.20.0 2024-08-22T20:42:27.2518770Z ruamel.yaml 0.17.21 2024-08-22T20:42:27.2519000Z sacrebleu 2.4.3 2024-08-22T20:42:27.2519230Z safetensors 0.4.4 2024-08-22T20:42:27.2519480Z scikit-learn 1.5.1 2024-08-22T20:42:27.2519710Z scipy 1.14.1 2024-08-22T20:42:27.2519950Z sentencepiece 0.2.0 2024-08-22T20:42:27.2520180Z setuptools 69.5.1 2024-08-22T20:42:27.2520410Z six 1.16.0 2024-08-22T20:42:27.2520630Z smmap 5.0.1 2024-08-22T20:42:27.2520860Z snakeviz 2.2.0 2024-08-22T20:42:27.2521080Z sqlitedict 2.1.0 2024-08-22T20:42:27.2521300Z streamlit 1.37.1 2024-08-22T20:42:27.2521520Z sympy 1.13.1 2024-08-22T20:42:27.2521750Z tabledata 1.3.3 2024-08-22T20:42:27.2530610Z tabulate 0.9.0 2024-08-22T20:42:27.2530920Z tcolorpy 0.1.6 2024-08-22T20:42:27.2531160Z tenacity 8.5.0 2024-08-22T20:42:27.2531390Z threadpoolctl 3.5.0 2024-08-22T20:42:27.2531620Z tiktoken 0.7.0 2024-08-22T20:42:27.2531850Z tokenizers 0.19.1 2024-08-22T20:42:27.2532390Z toml 0.10.2 2024-08-22T20:42:27.2532640Z torch 2.5.0.dev20240814 2024-08-22T20:42:27.2532920Z torchao 0.4.0+gite11201a 2024-08-22T20:42:27.2533190Z tornado 6.4.1 2024-08-22T20:42:27.2533410Z tqdm 4.66.4 2024-08-22T20:42:27.2533740Z tqdm-multiprocess 0.0.11 2024-08-22T20:42:27.2533970Z transformers 4.44.2 2024-08-22T20:42:27.2534200Z truststore 0.8.0 2024-08-22T20:42:27.2534430Z typepy 1.3.2 2024-08-22T20:42:27.2534650Z typing_extensions 4.12.2 2024-08-22T20:42:27.2534880Z tzdata 2024.1 2024-08-22T20:42:27.2535100Z urllib3 2.2.2 2024-08-22T20:42:27.2535320Z Werkzeug 3.0.4 2024-08-22T20:42:27.2535540Z wheel 0.43.0 2024-08-22T20:42:27.2535770Z word2number 1.1 2024-08-22T20:42:27.2535990Z xxhash 3.5.0 2024-08-22T20:42:27.2536200Z yarl 1.9.4 2024-08-22T20:42:27.2536420Z zstandard 0.22.0 2024-08-22T20:42:27.2536650Z zstd 1.5.5.1 2024-08-22T20:42:27.2537120Z + python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")' 2024-08-22T20:42:27.2537760Z torch: ('2.5.0.dev20240814', '3a023a67c47bcde45538c9991e332d21ac548e46') 2024-08-22T20:42:27.2538150Z + echo ::endgroup:: 2024-08-22T20:42:27.2538650Z ##[endgroup] 2024-08-22T20:42:27.2538960Z + echo '::group::Download checkpoints' 2024-08-22T20:42:27.2539380Z ##[group]Download checkpoints 2024-08-22T20:42:27.2539650Z + mkdir -p checkpoints/stories15M 2024-08-22T20:42:27.2539900Z + pushd checkpoints/stories15M 2024-08-22T20:42:27.2540520Z ~/runner/_work/torchchat/torchchat/pytorch/torchchat/checkpoints/stories15M ~/runner/_work/torchchat/torchchat/pytorch/torchchat 2024-08-22T20:42:27.2541390Z + curl -fsSL -O https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt 2024-08-22T20:42:27.2542020Z + curl -fsSL -O https://github.com/karpathy/llama2.c/raw/master/tokenizer.model 2024-08-22T20:42:27.2542400Z + popd 2024-08-22T20:42:27.2542880Z ~/runner/_work/torchchat/torchchat/pytorch/torchchat 2024-08-22T20:42:27.2543200Z + echo ::endgroup:: 2024-08-22T20:42:27.2543520Z ##[endgroup] 2024-08-22T20:42:27.2543740Z + echo '::group::Run inference' 2024-08-22T20:42:27.2544110Z ##[group]Run inference 2024-08-22T20:42:27.2544390Z + export MODEL_PATH=checkpoints/stories15M/stories15M.pt 2024-08-22T20:42:27.2544760Z + MODEL_PATH=checkpoints/stories15M/stories15M.pt 2024-08-22T20:42:27.2545060Z + export MODEL_NAME=stories15M 2024-08-22T20:42:27.2545290Z + MODEL_NAME=stories15M 2024-08-22T20:42:27.2545500Z + export MODEL_DIR=/tmp 2024-08-22T20:42:27.2545810Z + MODEL_DIR=/tmp 2024-08-22T20:42:27.2546030Z + for DTYPE in float16 float32 2024-08-22T20:42:27.2546700Z + python3 torchchat.py generate --dtype float16 --device mps --checkpoint-path checkpoints/stories15M/stories15M.pt --temperature 0 2024-08-22T20:42:27.2547300Z NumExpr defaulting to 8 threads. 2024-08-22T20:42:27.2547590Z PyTorch version 2.5.0.dev20240814 available. 2024-08-22T20:42:27.2548080Z Warning: compilation is not available with device MPS, ignoring option to engage compilation 2024-08-22T20:42:27.2548460Z 2024-08-22T20:42:27.2548650Z Downloading builder script: 0%| | 0.00/5.67k [00:00100' 2024-08-22T20:43:05.1822620Z + xargs rm -fv 2024-08-22T20:43:05.1823780Z map auto_home 0Bi 0Bi 0Bi 100% 0 0 - /System/Volumes/Data/home 2024-08-22T20:43:05.1825570Z /dev/disk3s4 228Gi 108Ki 212Gi 1% 17 2.2G 0% /private/tmp/tmp-mount-39pjmr 2024-08-22T20:43:05.1826870Z + Cleaning up old logs (Keep the latest 100) 2024-08-22T20:43:05.1834680Z + Restoring SSH key to be the skeleton key 2024-08-22T20:43:05.1966320Z Cleaning up orphan processes