2024-08-22T20:40:23.7807400Z Current runner version: '2.319.1'
2024-08-22T20:40:23.7810750Z Runner name: 'i-06ae96fea8dbed85a'
2024-08-22T20:40:23.7811190Z Runner group name: 'Default'
2024-08-22T20:40:23.7811770Z Machine name: 'ip-10-0-0-196'
2024-08-22T20:40:23.7820780Z Testing runner upgrade compatibility
2024-08-22T20:40:24.2081070Z ##[group]GITHUB_TOKEN Permissions
2024-08-22T20:40:24.2082270Z Contents: read
2024-08-22T20:40:24.2082600Z Metadata: read
2024-08-22T20:40:24.2082940Z Packages: read
2024-08-22T20:40:24.2083260Z ##[endgroup]
2024-08-22T20:40:24.2084960Z Secret source: Actions
2024-08-22T20:40:24.2085390Z Prepare workflow directory
2024-08-22T20:40:24.2872030Z Prepare all required actions
2024-08-22T20:40:24.2972900Z Getting action download info
2024-08-22T20:40:24.4815330Z Download action repository 'actions/checkout@v3' (SHA:f43a0e5ff2bd294095638e18286ca9a3d1956744)
2024-08-22T20:40:24.7313840Z Download action repository 'actions/download-artifact@v3' (SHA:9bc31d5ccc31df68ecc42ccf4149144866c47d8a)
2024-08-22T20:40:24.9466840Z Download action repository 'pmeier/pytest-results-action@v0.3.0' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1)
2024-08-22T20:40:25.2175950Z Download action repository 'actions/upload-artifact@v3' (SHA:a8a3f3ad30e3422c9c7b888a15615d19a852ae32)
2024-08-22T20:40:25.4615300Z Uses: pytorch/test-infra/.github/workflows/macos_job.yml@refs/heads/main (6dab351bed7d1c647665a8b8e883ec5b1c973feb)
2024-08-22T20:40:25.4616570Z ##[group] Inputs
2024-08-22T20:40:25.4623770Z   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

python3 torchchat.py generate --device mps --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** embedding"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int8"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int4"
echo "************************************************************"

PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0

2024-08-22T20:40:25.4631350Z   timeout: 30
2024-08-22T20:40:25.4631550Z   runner: macos-m1-stable
2024-08-22T20:40:25.4631780Z   upload-artifact: 
2024-08-22T20:40:25.4632520Z   download-artifact: 
2024-08-22T20:40:25.4633020Z   repository: 
2024-08-22T20:40:25.4633210Z   fetch-depth: 1
2024-08-22T20:40:25.4633400Z   submodules: 
2024-08-22T20:40:25.4633580Z   ref: 
2024-08-22T20:40:25.4633780Z   test-infra-repository: pytorch/test-infra
2024-08-22T20:40:25.4634080Z   test-infra-ref: 
2024-08-22T20:40:25.4634280Z   job-name: macos-job
2024-08-22T20:40:25.4634680Z   continue-on-error: false
2024-08-22T20:40:25.4634920Z   binary-matrix: 
2024-08-22T20:40:25.4635110Z   secrets-env: 
2024-08-22T20:40:25.4635350Z   python-version: 3.9
2024-08-22T20:40:25.4635590Z ##[endgroup]
2024-08-22T20:40:25.4635920Z Complete job name: test-mps / macos-job
2024-08-22T20:40:25.5042300Z ##[group]Run echo "::group::Cleanup debug output"
2024-08-22T20:40:25.5042770Z echo "::group::Cleanup debug output"
2024-08-22T20:40:25.5043100Z rm -rfv "${GITHUB_WORKSPACE}"
2024-08-22T20:40:25.5043420Z mkdir -p "${GITHUB_WORKSPACE}"
2024-08-22T20:40:25.5043720Z echo "::endgroup::"
2024-08-22T20:40:25.5062150Z shell: /bin/bash -e {0}
2024-08-22T20:40:25.5062380Z env:
2024-08-22T20:40:25.5062590Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:40:25.5069730Z   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

python3 torchchat.py generate --device mps --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** embedding"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int8"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int4"
echo "************************************************************"

PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0

2024-08-22T20:40:25.5076970Z ##[endgroup]
2024-08-22T20:40:25.5545170Z ##[group]Cleanup debug output
2024-08-22T20:40:25.5638990Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset.config.json
2024-08-22T20:40:25.5639870Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/types/next-auth-d.ts
2024-08-22T20:40:25.5640580Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/types
2024-08-22T20:40:25.5641360Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/disableFlakyBot.test.ts
2024-08-22T20:40:25.5642490Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/reporter.js
2024-08-22T20:40:25.5643260Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/closeCommands.test.ts
2024-08-22T20:40:25.5644070Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/jobUtils.test.ts
2024-08-22T20:40:25.5644900Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/codevNoWritePermBot.test.ts
2024-08-22T20:40:25.5645990Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/subscriptions.test.ts
2024-08-22T20:40:25.5646820Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/autoCcBot.test.ts
2024-08-22T20:40:25.5647620Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/autoLabelBot.test.ts
2024-08-22T20:40:25.5648360Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/common.ts
2024-08-22T20:40:25.5649080Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/utils.ts
2024-08-22T20:40:25.5649830Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/labelCommands.test.ts
2024-08-22T20:40:25.5650690Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/ciflow-push-trigger.test.ts
2024-08-22T20:40:25.5651610Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/cancelWorkflowsOnCloseBot.test.ts
2024-08-22T20:40:25.5652440Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/retryBot.test.ts
2024-08-22T20:40:25.5653270Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/verifyDisableTestIssue.test.ts
2024-08-22T20:40:25.5654090Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/drciUtils.test.ts
2024-08-22T20:40:25.5654870Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/stripApprovals.test.ts
2024-08-22T20:40:25.5655680Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/mergeCommands.test.ts
2024-08-22T20:40:25.5656580Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/push-trigger/pull_request.closed.json
2024-08-22T20:40:25.5657550Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/push-trigger/permission.json
2024-08-22T20:40:25.5658550Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/push-trigger/pull_request.synchronize.json
2024-08-22T20:40:25.5659600Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/push-trigger/pull_request.unlabeled.json
2024-08-22T20:40:25.5660640Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/push-trigger/pull_request.labeled.json
2024-08-22T20:40:25.5661530Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/push-trigger
2024-08-22T20:40:25.5662360Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/pull_request.closed.json
2024-08-22T20:40:25.5663220Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/issue_comment.json
2024-08-22T20:40:25.5664070Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/pull_request.opened.json
2024-08-22T20:40:25.5664900Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/config.json
2024-08-22T20:40:25.5665680Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/issue.json
2024-08-22T20:40:25.5666510Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/workflow_jobs.json
2024-08-22T20:40:25.5667340Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/issues.labeled.json
2024-08-22T20:40:25.5668140Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/push.json
2024-08-22T20:40:25.5668960Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/pull_request_comment.json
2024-08-22T20:40:25.5670060Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/workflow_run.completed.json
2024-08-22T20:40:25.5670960Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/pull_request.reopened.json
2024-08-22T20:40:25.5671860Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/issues.opened.json
2024-08-22T20:40:25.5672760Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/pull_request.synchronize.json
2024-08-22T20:40:25.5673820Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/pull_request.labeled.json
2024-08-22T20:40:25.5674750Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/pull_request_review_approved.json
2024-08-22T20:40:25.5675680Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/pull_request_review.json
2024-08-22T20:40:25.5676520Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/pull_files.json
2024-08-22T20:40:25.5677380Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/pull_request_reviews.json
2024-08-22T20:40:25.5678250Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/known_labels.json
2024-08-22T20:40:25.5679010Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures
2024-08-22T20:40:25.5679730Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/drciBot.test.ts
2024-08-22T20:40:25.5680570Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/triggerCircleCIWorkflows.test.ts
2024-08-22T20:40:25.5681430Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/metricUtils.test.ts
2024-08-22T20:40:25.5682190Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/drci.test.ts
2024-08-22T20:40:25.5682930Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test/searchUtils.test.ts
2024-08-22T20:40:25.5683600Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/test
2024-08-22T20:40:25.5684250Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/jest.config.js
2024-08-22T20:40:25.5684920Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/next.config.js
2024-08-22T20:40:25.5685610Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/docs/architecture.md
2024-08-22T20:40:25.5686340Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/docs/write-path.png
2024-08-22T20:40:25.5686990Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/docs
2024-08-22T20:40:25.5687860Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/inductor/compilers_benchmark_performance.lambda.json
2024-08-22T20:40:25.5688940Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/inductor/__sql/compilers_benchmark_performance.sql
2024-08-22T20:40:25.5689910Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/inductor/__sql/torchao_query.sql
2024-08-22T20:40:25.5690850Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/inductor/__sql/torchao_query_branches.sql
2024-08-22T20:40:25.5691900Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/inductor/__sql/compilers_benchmark_performance_branches.sql
2024-08-22T20:40:25.5692820Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/inductor/__sql
2024-08-22T20:40:25.5693710Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/inductor/torchao_query_branches.lambda.json
2024-08-22T20:40:25.5694810Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/inductor/compilers_benchmark_performance_branches.lambda.json
2024-08-22T20:40:25.5695840Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/inductor/torchao_query.lambda.json
2024-08-22T20:40:25.5696770Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/inductor
2024-08-22T20:40:25.5697600Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/disabled_test_total.lambda.json
2024-08-22T20:40:25.5698560Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/job_duration_avg.lambda.json
2024-08-22T20:40:25.5699550Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/completed_pr_jobs_aggregate.lambda.json
2024-08-22T20:40:25.5700690Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/master_jobs_red_avg.lambda.json
2024-08-22T20:40:25.5701690Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/tts_duration_historical.lambda.json
2024-08-22T20:40:25.5702660Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/last_branch_push.lambda.json
2024-08-22T20:40:25.5703560Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/top_reds.lambda.json
2024-08-22T20:40:25.5704490Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/last_successful_jobs.sql
2024-08-22T20:40:25.5705500Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/workflow_duration_percentile.sql
2024-08-22T20:40:25.5706540Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/last_successful_workflow.sql
2024-08-22T20:40:25.5707560Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/job_duration_percentile.sql
2024-08-22T20:40:25.5708490Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/top_reds.sql
2024-08-22T20:40:25.5709400Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/job_duration_avg.sql
2024-08-22T20:40:25.5710380Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/master_commit_red_percent_groups.sql
2024-08-22T20:40:25.5711410Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/external_contribution_stats.sql
2024-08-22T20:40:25.5712440Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/tts_duration_historical.sql
2024-08-22T20:40:25.5713350Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/tts_avg.sql
2024-08-22T20:40:25.5714290Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/tts_percentile.sql
2024-08-22T20:40:25.5715210Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/reverts.sql
2024-08-22T20:40:25.5716160Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/master_commit_red_percent.sql
2024-08-22T20:40:25.5717190Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/completed_pr_jobs_aggregate.sql
2024-08-22T20:40:25.5718210Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/number_of_force_pushes.sql
2024-08-22T20:40:25.5719200Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/disabled_test_total.sql
2024-08-22T20:40:25.5720140Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/strict_lag_sec.sql
2024-08-22T20:40:25.5721080Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/master_commit_red_avg.sql
2024-08-22T20:40:25.5722090Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/master_commit_red.sql
2024-08-22T20:40:25.5723000Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/correlation_matrix.sql
2024-08-22T20:40:25.5723910Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/last_branch_push.sql
2024-08-22T20:40:25.5725000Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/get_workers_on_period.sql
2024-08-22T20:40:25.5725970Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/queue_times_historical_pct.sql
2024-08-22T20:40:25.5726960Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/queued_jobs.sql
2024-08-22T20:40:25.5727970Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/queued_jobs_by_label.sql
2024-08-22T20:40:25.5728890Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/workflow_load.sql
2024-08-22T20:40:25.5741980Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/log_captures_count.sql
2024-08-22T20:40:25.5742940Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/master_jobs_red_avg.sql
2024-08-22T20:40:25.5743920Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/queue_times_historical.sql
2024-08-22T20:40:25.5744870Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/master_jobs_red.sql
2024-08-22T20:40:25.5745820Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/disabled_test_historical.sql
2024-08-22T20:40:25.5746810Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/workflow_duration_avg.sql
2024-08-22T20:40:25.5747820Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql/tts_duration_historical_percentile.sql
2024-08-22T20:40:25.5748720Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/__sql
2024-08-22T20:40:25.5749560Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/last_successful_jobs.lambda.json
2024-08-22T20:40:25.5750490Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/queued_jobs.lambda.json
2024-08-22T20:40:25.5751350Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/reverts.lambda.json
2024-08-22T20:40:25.5752220Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/workflow_load.lambda.json
2024-08-22T20:40:25.5753110Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/tts_percentile.lambda.json
2024-08-22T20:40:25.5754040Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/log_captures_count.lambda.json
2024-08-22T20:40:25.5755030Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/queue_times_historical.lambda.json
2024-08-22T20:40:25.5756000Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/correlation_matrix.lambda.json
2024-08-22T20:40:25.5757010Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/workflow_duration_percentile.lambda.json
2024-08-22T20:40:25.5758100Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/tts_duration_historical_percentile.lambda.json
2024-08-22T20:40:25.5759130Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/get_workers_on_period.lambda.json
2024-08-22T20:40:25.5760130Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/job_duration_percentile.lambda.json
2024-08-22T20:40:25.5761110Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/workflow_duration_avg.lambda.json
2024-08-22T20:40:25.5762090Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/last_successful_workflow.lambda.json
2024-08-22T20:40:25.5763100Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/queue_times_historical_pct.lambda.json
2024-08-22T20:40:25.5764280Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/master_jobs_red.lambda.json
2024-08-22T20:40:25.5765260Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/external_contribution_stats.lambda.json
2024-08-22T20:40:25.5766270Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/disabled_test_historical.lambda.json
2024-08-22T20:40:25.5767260Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/master_commit_red_avg.lambda.json
2024-08-22T20:40:25.5768360Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/queued_jobs_by_label.lambda.json
2024-08-22T20:40:25.5769290Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/tts_avg.lambda.json
2024-08-22T20:40:25.5770170Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/strict_lag_sec.lambda.json
2024-08-22T20:40:25.5771180Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/master_commit_red_percent_groups.lambda.json
2024-08-22T20:40:25.5772210Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/number_of_force_pushes.lambda.json
2024-08-22T20:40:25.5773200Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/master_commit_red_percent.lambda.json
2024-08-22T20:40:25.5774200Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics/master_commit_red.lambda.json
2024-08-22T20:40:25.5775010Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/metrics
2024-08-22T20:40:25.5775900Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/pytorch_dev_infra_kpis/strict_lag_historical.lambda.json
2024-08-22T20:40:25.5776950Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/pytorch_dev_infra_kpis/time_to_merge.lambda.json
2024-08-22T20:40:25.5778010Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/pytorch_dev_infra_kpis/ttrs_percentiles.lambda.json
2024-08-22T20:40:25.5779020Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/pytorch_dev_infra_kpis/__sql/num_reverts.sql
2024-08-22T20:40:25.5780170Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/pytorch_dev_infra_kpis/__sql/ttrs_percentiles.sql
2024-08-22T20:40:25.5781270Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/pytorch_dev_infra_kpis/__sql/monthly_contribution_stats.sql
2024-08-22T20:40:25.5782570Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/pytorch_dev_infra_kpis/__sql/number_of_force_pushes_historical.sql
2024-08-22T20:40:25.5783720Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/pytorch_dev_infra_kpis/__sql/strict_lag_historical.sql
2024-08-22T20:40:25.5784760Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/pytorch_dev_infra_kpis/__sql/time_to_review.sql
2024-08-22T20:40:25.5785770Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/pytorch_dev_infra_kpis/__sql/time_to_signal.sql
2024-08-22T20:40:25.5786770Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/pytorch_dev_infra_kpis/__sql/time_to_merge.sql
2024-08-22T20:40:25.5787780Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/pytorch_dev_infra_kpis/__sql/ci_wait_time.sql
2024-08-22T20:40:25.5788690Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/pytorch_dev_infra_kpis/__sql
2024-08-22T20:40:25.5789780Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/pytorch_dev_infra_kpis/number_of_force_pushes_historical.lambda.json
2024-08-22T20:40:25.5790910Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/pytorch_dev_infra_kpis/num_reverts.lambda.json
2024-08-22T20:40:25.5792160Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/pytorch_dev_infra_kpis/monthly_contribution_stats.lambda.json
2024-08-22T20:40:25.5793230Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/pytorch_dev_infra_kpis/ci_wait_time.lambda.json
2024-08-22T20:40:25.5794250Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/pytorch_dev_infra_kpis/time_to_signal.lambda.json
2024-08-22T20:40:25.5795260Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/pytorch_dev_infra_kpis/time_to_review.lambda.json
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2024-08-22T20:40:25.5797270Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/torchbench/torchbench_userbenchmark_list_commits.lambda.json
2024-08-22T20:40:25.5798370Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/torchbench/__sql/torchbench_list_userbenchmarks.sql
2024-08-22T20:40:25.5799450Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/torchbench/__sql/torchbench_userbenchmark_list_commits.sql
2024-08-22T20:40:25.5800550Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/torchbench/__sql/torchbench_userbenchmark_query_metrics.sql
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2024-08-22T20:40:25.5802390Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/torchbench/torchbench_list_userbenchmarks.lambda.json
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2024-08-22T20:40:25.5804450Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/torchbench
2024-08-22T20:40:25.5805280Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/failed_workflow_jobs.lambda.json
2024-08-22T20:40:25.5806230Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/disabled_test_labels.lambda.json
2024-08-22T20:40:25.5807190Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/get_relevant_alerts.lambda.json
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2024-08-22T20:40:25.5811070Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/__sql/get_workflow_jobs.sql
2024-08-22T20:40:25.5812020Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/__sql/test_times_per_workflow_type.sql
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2024-08-22T20:40:25.5814970Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/__sql/get_relevant_alerts.sql
2024-08-22T20:40:25.5815910Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/__sql/flaky_workflows_jobs.sql
2024-08-22T20:40:25.5816850Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/__sql/disabled_non_flaky_tests.sql
2024-08-22T20:40:25.5817750Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/__sql/pr_commits.sql
2024-08-22T20:40:25.5818650Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/__sql/annotated_flaky_jobs.sql
2024-08-22T20:40:25.5819690Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/__sql/test_time_per_file.sql
2024-08-22T20:40:25.5820580Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/__sql/disabled_tests.sql
2024-08-22T20:40:25.5821500Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/__sql/unclassified.sql
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2024-08-22T20:40:25.5823460Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/__sql/commit_failed_jobs.sql
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2024-08-22T20:40:25.5841100Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/__sql/test_time_per_class.sql
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2024-08-22T20:40:25.5843130Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/__sql/test_time_per_oncall.sql
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2024-08-22T20:40:25.5845870Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/__sql/test_insights_overview.sql
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2024-08-22T20:40:25.5847720Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/__sql/slow_tests.sql
2024-08-22T20:40:25.5848690Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/__sql/test_time_per_class_periodic_jobs.sql
2024-08-22T20:40:25.5849820Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/__sql/individual_test_times_per_oncall_per_workflow.sql
2024-08-22T20:40:25.5850820Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/__sql/hud_query.sql
2024-08-22T20:40:25.5851610Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/__sql
2024-08-22T20:40:25.5852640Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/failure_samples_query.lambda.json
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2024-08-22T20:40:25.5855780Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/reverted_prs_with_reason.lambda.json
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2024-08-22T20:40:25.5858980Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/filter_forced_merge_pr.lambda.json
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2024-08-22T20:40:25.5865850Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/annotated_flaky_jobs.lambda.json
2024-08-22T20:40:25.5866840Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/flaky_workflows_jobs.lambda.json
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2024-08-22T20:40:25.5868860Z /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/torchci/rockset/commons/test_insights_latest_runs.lambda.json
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2024-08-22T20:40:25.7097230Z /Users/ec2-user/runner/_work/torchchat/torchchat/pytorch/torchchat/export_util/executorch_portable_utils.py
2024-08-22T20:40:25.7097490Z /Users/ec2-user/runner/_work/torchchat/torchchat/pytorch/torchchat/export_util
2024-08-22T20:40:25.7097700Z /Users/ec2-user/runner/_work/torchchat/torchchat/pytorch/torchchat
2024-08-22T20:40:25.7097870Z /Users/ec2-user/runner/_work/torchchat/torchchat/pytorch
2024-08-22T20:40:25.7098050Z /Users/ec2-user/runner/_work/torchchat/torchchat
2024-08-22T20:40:25.7098510Z ##[endgroup]
2024-08-22T20:40:25.7253380Z ##[group]Run actions/checkout@v3
2024-08-22T20:40:25.7253460Z with:
2024-08-22T20:40:25.7253560Z   repository: pytorch/test-infra
2024-08-22T20:40:25.7253630Z   path: test-infra
2024-08-22T20:40:25.7253810Z   token: ***
2024-08-22T20:40:25.7253890Z   ssh-strict: true
2024-08-22T20:40:25.7254050Z   persist-credentials: true
2024-08-22T20:40:25.7254110Z   clean: true
2024-08-22T20:40:25.7254210Z   sparse-checkout-cone-mode: true
2024-08-22T20:40:25.7254280Z   fetch-depth: 1
2024-08-22T20:40:25.7254350Z   fetch-tags: false
2024-08-22T20:40:25.7254410Z   lfs: false
2024-08-22T20:40:25.7254480Z   submodules: false
2024-08-22T20:40:25.7254560Z   set-safe-directory: true
2024-08-22T20:40:25.7254630Z env:
2024-08-22T20:40:25.7254720Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:40:25.7261660Z   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

python3 torchchat.py generate --device mps --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** embedding"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int8"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int4"
echo "************************************************************"

PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0

2024-08-22T20:40:25.7261760Z ##[endgroup]
2024-08-22T20:40:25.8182660Z Syncing repository: pytorch/test-infra
2024-08-22T20:40:25.8183440Z ##[group]Getting Git version info
2024-08-22T20:40:25.8184060Z Working directory is '/Users/ec2-user/runner/_work/torchchat/torchchat/test-infra'
2024-08-22T20:40:25.8184760Z [command]/usr/bin/git version
2024-08-22T20:40:25.8213030Z git version 2.39.3 (Apple Git-146)
2024-08-22T20:40:25.8227250Z ##[endgroup]
2024-08-22T20:40:25.8237340Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/7900f398-3e41-4a1d-907b-743a4f34706f' before making global git config changes
2024-08-22T20:40:25.8238250Z Adding repository directory to the temporary git global config as a safe directory
2024-08-22T20:40:25.8252210Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra
2024-08-22T20:40:25.8308930Z ##[group]Initializing the repository
2024-08-22T20:40:25.8311130Z [command]/usr/bin/git init /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra
2024-08-22T20:40:25.8435770Z Initialized empty Git repository in /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/.git/
2024-08-22T20:40:25.8442040Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra
2024-08-22T20:40:25.8515400Z ##[endgroup]
2024-08-22T20:40:25.8515850Z ##[group]Disabling automatic garbage collection
2024-08-22T20:40:25.8517990Z [command]/usr/bin/git config --local gc.auto 0
2024-08-22T20:40:25.8584640Z ##[endgroup]
2024-08-22T20:40:25.8588390Z ##[group]Setting up auth
2024-08-22T20:40:25.8588960Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2024-08-22T20:40:25.8651280Z [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' || :"
2024-08-22T20:40:25.9133720Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2024-08-22T20:40:25.9193560Z [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' || :"
2024-08-22T20:40:25.9674560Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2024-08-22T20:40:25.9738660Z ##[endgroup]
2024-08-22T20:40:25.9739080Z ##[group]Determining the default branch
2024-08-22T20:40:25.9739820Z Retrieving the default branch name
2024-08-22T20:40:26.1933990Z Default branch 'main'
2024-08-22T20:40:26.1934850Z ##[endgroup]
2024-08-22T20:40:26.1935480Z ##[group]Fetching the repository
2024-08-22T20:40:26.1939880Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --progress --no-recurse-submodules --depth=1 origin +refs/heads/main:refs/remotes/origin/main
2024-08-22T20:40:26.3811070Z remote: Enumerating objects: 1649, done.        
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2024-08-22T20:40:26.3857620Z remote: Counting objects: 100% (1649/1649), done.        
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2024-08-22T20:40:26.4923930Z remote: Compressing objects:  48% (605/1260)        
2024-08-22T20:40:26.4924280Z remote: Compressing objects:  49% (618/1260)        
2024-08-22T20:40:26.4924630Z remote: Compressing objects:  50% (630/1260)        
2024-08-22T20:40:26.4924960Z remote: Compressing objects:  51% (643/1260)        
2024-08-22T20:40:26.4925350Z remote: Compressing objects:  52% (656/1260)        
2024-08-22T20:40:26.5042520Z remote: Compressing objects:  53% (668/1260)        
2024-08-22T20:40:26.5060720Z remote: Compressing objects:  54% (681/1260)        
2024-08-22T20:40:26.5061150Z remote: Compressing objects:  55% (693/1260)        
2024-08-22T20:40:26.5061510Z remote: Compressing objects:  56% (706/1260)        
2024-08-22T20:40:26.5061860Z remote: Compressing objects:  57% (719/1260)        
2024-08-22T20:40:26.5063540Z remote: Compressing objects:  58% (731/1260)        
2024-08-22T20:40:26.5065490Z remote: Compressing objects:  59% (744/1260)        
2024-08-22T20:40:26.5068130Z remote: Compressing objects:  60% (756/1260)        
2024-08-22T20:40:26.5070600Z remote: Compressing objects:  61% (769/1260)        
2024-08-22T20:40:26.5084420Z remote: Compressing objects:  62% (782/1260)        
2024-08-22T20:40:26.5094860Z remote: Compressing objects:  63% (794/1260)        
2024-08-22T20:40:26.5104370Z remote: Compressing objects:  64% (807/1260)        
2024-08-22T20:40:26.5111360Z remote: Compressing objects:  65% (819/1260)        
2024-08-22T20:40:26.5119630Z remote: Compressing objects:  66% (832/1260)        
2024-08-22T20:40:26.5125900Z remote: Compressing objects:  67% (845/1260)        
2024-08-22T20:40:26.5132430Z remote: Compressing objects:  68% (857/1260)        
2024-08-22T20:40:26.5149010Z remote: Compressing objects:  69% (870/1260)        
2024-08-22T20:40:26.5174370Z remote: Compressing objects:  70% (882/1260)        
2024-08-22T20:40:26.5192010Z remote: Compressing objects:  71% (895/1260)        
2024-08-22T20:40:26.5201650Z remote: Compressing objects:  72% (908/1260)        
2024-08-22T20:40:26.5213950Z remote: Compressing objects:  73% (920/1260)        
2024-08-22T20:40:26.5238200Z remote: Compressing objects:  74% (933/1260)        
2024-08-22T20:40:26.5261590Z remote: Compressing objects:  75% (945/1260)        
2024-08-22T20:40:26.5286320Z remote: Compressing objects:  76% (958/1260)        
2024-08-22T20:40:26.5624970Z remote: Compressing objects:  77% (971/1260)        
2024-08-22T20:40:26.5777770Z remote: Compressing objects:  78% (983/1260)        
2024-08-22T20:40:26.5788350Z remote: Compressing objects:  79% (996/1260)        
2024-08-22T20:40:26.5794830Z remote: Compressing objects:  80% (1008/1260)        
2024-08-22T20:40:26.5797910Z remote: Compressing objects:  81% (1021/1260)        
2024-08-22T20:40:26.5812880Z remote: Compressing objects:  82% (1034/1260)        
2024-08-22T20:40:26.5838820Z remote: Compressing objects:  83% (1046/1260)        
2024-08-22T20:40:26.5851690Z remote: Compressing objects:  84% (1059/1260)        
2024-08-22T20:40:26.5856050Z remote: Compressing objects:  85% (1071/1260)        
2024-08-22T20:40:26.5865190Z remote: Compressing objects:  86% (1084/1260)        
2024-08-22T20:40:26.5869650Z remote: Compressing objects:  87% (1097/1260)        
2024-08-22T20:40:26.5874870Z remote: Compressing objects:  88% (1109/1260)        
2024-08-22T20:40:26.5875460Z remote: Compressing objects:  89% (1122/1260)        
2024-08-22T20:40:26.5876820Z remote: Compressing objects:  90% (1134/1260)        
2024-08-22T20:40:26.5878630Z remote: Compressing objects:  91% (1147/1260)        
2024-08-22T20:40:26.5881840Z remote: Compressing objects:  92% (1160/1260)        
2024-08-22T20:40:26.5886580Z remote: Compressing objects:  93% (1172/1260)        
2024-08-22T20:40:26.5887170Z remote: Compressing objects:  94% (1185/1260)        
2024-08-22T20:40:26.5887750Z remote: Compressing objects:  95% (1197/1260)        
2024-08-22T20:40:26.5888330Z remote: Compressing objects:  96% (1210/1260)        
2024-08-22T20:40:26.5888910Z remote: Compressing objects:  97% (1223/1260)        
2024-08-22T20:40:26.5889500Z remote: Compressing objects:  98% (1235/1260)        
2024-08-22T20:40:26.5890080Z remote: Compressing objects:  99% (1248/1260)        
2024-08-22T20:40:26.5897950Z remote: Compressing objects: 100% (1260/1260)        
2024-08-22T20:40:26.5898650Z remote: Compressing objects: 100% (1260/1260), done.        
2024-08-22T20:40:26.5965430Z Receiving objects:   0% (1/1649)
2024-08-22T20:40:26.5967320Z Receiving objects:   1% (17/1649)
2024-08-22T20:40:26.6002250Z Receiving objects:   2% (33/1649)
2024-08-22T20:40:26.6009770Z Receiving objects:   3% (50/1649)
2024-08-22T20:40:26.6023060Z Receiving objects:   4% (66/1649)
2024-08-22T20:40:26.6026310Z Receiving objects:   5% (83/1649)
2024-08-22T20:40:26.6036740Z Receiving objects:   6% (99/1649)
2024-08-22T20:40:26.6039320Z Receiving objects:   7% (116/1649)
2024-08-22T20:40:26.6040820Z Receiving objects:   8% (132/1649)
2024-08-22T20:40:26.6043970Z Receiving objects:   9% (149/1649)
2024-08-22T20:40:26.6046460Z Receiving objects:  10% (165/1649)
2024-08-22T20:40:26.6049950Z Receiving objects:  11% (182/1649)
2024-08-22T20:40:26.6052490Z Receiving objects:  12% (198/1649)
2024-08-22T20:40:26.6150790Z Receiving objects:  13% (215/1649)
2024-08-22T20:40:26.6184430Z Receiving objects:  14% (231/1649)
2024-08-22T20:40:26.6186360Z Receiving objects:  15% (248/1649)
2024-08-22T20:40:26.6188360Z Receiving objects:  16% (264/1649)
2024-08-22T20:40:26.6215520Z Receiving objects:  17% (281/1649)
2024-08-22T20:40:26.6340260Z Receiving objects:  18% (297/1649)
2024-08-22T20:40:26.6352200Z Receiving objects:  19% (314/1649)
2024-08-22T20:40:26.6353230Z Receiving objects:  20% (330/1649)
2024-08-22T20:40:26.6355670Z Receiving objects:  21% (347/1649)
2024-08-22T20:40:26.6357660Z Receiving objects:  22% (363/1649)
2024-08-22T20:40:26.6360120Z Receiving objects:  23% (380/1649)
2024-08-22T20:40:26.6364400Z Receiving objects:  24% (396/1649)
2024-08-22T20:40:26.6376310Z Receiving objects:  25% (413/1649)
2024-08-22T20:40:26.6382280Z Receiving objects:  26% (429/1649)
2024-08-22T20:40:26.6419130Z Receiving objects:  27% (446/1649)
2024-08-22T20:40:26.6423440Z Receiving objects:  28% (462/1649)
2024-08-22T20:40:26.6425820Z Receiving objects:  29% (479/1649)
2024-08-22T20:40:26.6433410Z Receiving objects:  30% (495/1649)
2024-08-22T20:40:26.6437130Z Receiving objects:  31% (512/1649)
2024-08-22T20:40:26.6442540Z Receiving objects:  32% (528/1649)
2024-08-22T20:40:26.6447450Z Receiving objects:  33% (545/1649)
2024-08-22T20:40:26.6448380Z Receiving objects:  34% (561/1649)
2024-08-22T20:40:26.6449800Z Receiving objects:  35% (578/1649)
2024-08-22T20:40:26.6453230Z Receiving objects:  36% (594/1649)
2024-08-22T20:40:26.6456570Z Receiving objects:  37% (611/1649)
2024-08-22T20:40:26.6458510Z Receiving objects:  38% (627/1649)
2024-08-22T20:40:26.6461270Z Receiving objects:  39% (644/1649)
2024-08-22T20:40:26.6471890Z Receiving objects:  40% (660/1649)
2024-08-22T20:40:26.6472290Z Receiving objects:  41% (677/1649)
2024-08-22T20:40:26.6472660Z Receiving objects:  42% (693/1649)
2024-08-22T20:40:26.6473020Z Receiving objects:  43% (710/1649)
2024-08-22T20:40:26.6473840Z Receiving objects:  44% (726/1649)
2024-08-22T20:40:26.6476380Z Receiving objects:  45% (743/1649)
2024-08-22T20:40:26.6478990Z Receiving objects:  46% (759/1649)
2024-08-22T20:40:26.6480780Z Receiving objects:  47% (776/1649)
2024-08-22T20:40:26.6482920Z Receiving objects:  48% (792/1649)
2024-08-22T20:40:26.6484830Z Receiving objects:  49% (809/1649)
2024-08-22T20:40:26.6487450Z Receiving objects:  50% (825/1649)
2024-08-22T20:40:26.6489400Z Receiving objects:  51% (841/1649)
2024-08-22T20:40:26.6491170Z Receiving objects:  52% (858/1649)
2024-08-22T20:40:26.6494220Z Receiving objects:  53% (874/1649)
2024-08-22T20:40:26.6496730Z Receiving objects:  54% (891/1649)
2024-08-22T20:40:26.6497840Z Receiving objects:  55% (907/1649)
2024-08-22T20:40:26.6499540Z Receiving objects:  56% (924/1649)
2024-08-22T20:40:26.6501870Z Receiving objects:  57% (940/1649)
2024-08-22T20:40:26.6504710Z Receiving objects:  58% (957/1649)
2024-08-22T20:40:26.6508280Z Receiving objects:  59% (973/1649)
2024-08-22T20:40:26.6510100Z Receiving objects:  60% (990/1649)
2024-08-22T20:40:26.6512060Z Receiving objects:  61% (1006/1649)
2024-08-22T20:40:26.6513790Z Receiving objects:  62% (1023/1649)
2024-08-22T20:40:26.6516090Z Receiving objects:  63% (1039/1649)
2024-08-22T20:40:26.6518730Z Receiving objects:  64% (1056/1649)
2024-08-22T20:40:26.6528110Z Receiving objects:  65% (1072/1649)
2024-08-22T20:40:26.6529180Z Receiving objects:  66% (1089/1649)
2024-08-22T20:40:26.6541490Z Receiving objects:  67% (1105/1649)
2024-08-22T20:40:26.6552340Z Receiving objects:  68% (1122/1649)
2024-08-22T20:40:26.6562770Z Receiving objects:  69% (1138/1649)
2024-08-22T20:40:26.6574660Z Receiving objects:  70% (1155/1649)
2024-08-22T20:40:26.6581820Z Receiving objects:  71% (1171/1649)
2024-08-22T20:40:26.6604860Z Receiving objects:  72% (1188/1649)
2024-08-22T20:40:26.6620850Z Receiving objects:  73% (1204/1649)
2024-08-22T20:40:26.6637400Z Receiving objects:  74% (1221/1649)
2024-08-22T20:40:26.6939780Z Receiving objects:  75% (1237/1649)
2024-08-22T20:40:26.6941020Z Receiving objects:  76% (1254/1649)
2024-08-22T20:40:26.6945460Z Receiving objects:  77% (1270/1649)
2024-08-22T20:40:26.6945910Z Receiving objects:  78% (1287/1649)
2024-08-22T20:40:26.6947010Z Receiving objects:  79% (1303/1649)
2024-08-22T20:40:26.6950400Z Receiving objects:  80% (1320/1649)
2024-08-22T20:40:26.6960370Z Receiving objects:  81% (1336/1649)
2024-08-22T20:40:26.7014810Z Receiving objects:  82% (1353/1649)
2024-08-22T20:40:26.7016370Z Receiving objects:  83% (1369/1649)
2024-08-22T20:40:26.7018410Z Receiving objects:  84% (1386/1649)
2024-08-22T20:40:26.7019990Z Receiving objects:  85% (1402/1649)
2024-08-22T20:40:26.7020470Z Receiving objects:  86% (1419/1649)
2024-08-22T20:40:26.7020960Z Receiving objects:  87% (1435/1649)
2024-08-22T20:40:26.7022120Z Receiving objects:  88% (1452/1649)
2024-08-22T20:40:26.7024070Z Receiving objects:  89% (1468/1649)
2024-08-22T20:40:26.7025840Z Receiving objects:  90% (1485/1649)
2024-08-22T20:40:26.7026630Z Receiving objects:  91% (1501/1649)
2024-08-22T20:40:26.7027410Z Receiving objects:  92% (1518/1649)
2024-08-22T20:40:26.7028040Z Receiving objects:  93% (1534/1649)
2024-08-22T20:40:26.7029660Z Receiving objects:  94% (1551/1649)
2024-08-22T20:40:26.7030460Z Receiving objects:  95% (1567/1649)
2024-08-22T20:40:26.7048230Z Receiving objects:  96% (1584/1649)
2024-08-22T20:40:26.7058500Z Receiving objects:  97% (1600/1649)
2024-08-22T20:40:26.7063250Z Receiving objects:  98% (1617/1649)
2024-08-22T20:40:26.7085400Z Receiving objects:  99% (1633/1649)
2024-08-22T20:40:26.7086180Z remote: Total 1649 (delta 371), reused 1069 (delta 267), pack-reused 0 (from 0)        
2024-08-22T20:40:26.7092180Z Receiving objects: 100% (1649/1649)
2024-08-22T20:40:26.7092660Z Receiving objects: 100% (1649/1649), 2.83 MiB | 25.00 MiB/s, done.
2024-08-22T20:40:26.7109290Z Resolving deltas:   0% (0/371)
2024-08-22T20:40:26.7110380Z Resolving deltas:   1% (4/371)
2024-08-22T20:40:26.7111150Z Resolving deltas:   2% (8/371)
2024-08-22T20:40:26.7112500Z Resolving deltas:   3% (12/371)
2024-08-22T20:40:26.7114180Z Resolving deltas:   4% (15/371)
2024-08-22T20:40:26.7114520Z Resolving deltas:   5% (19/371)
2024-08-22T20:40:26.7114900Z Resolving deltas:   6% (23/371)
2024-08-22T20:40:26.7115670Z Resolving deltas:   7% (26/371)
2024-08-22T20:40:26.7116500Z Resolving deltas:   8% (30/371)
2024-08-22T20:40:26.7118360Z Resolving deltas:   9% (34/371)
2024-08-22T20:40:26.7120580Z Resolving deltas:  10% (38/371)
2024-08-22T20:40:26.7122120Z Resolving deltas:  11% (41/371)
2024-08-22T20:40:26.7122690Z Resolving deltas:  12% (45/371)
2024-08-22T20:40:26.7123240Z Resolving deltas:  13% (50/371)
2024-08-22T20:40:26.7123920Z Resolving deltas:  14% (52/371)
2024-08-22T20:40:26.7124210Z Resolving deltas:  15% (56/371)
2024-08-22T20:40:26.7131740Z Resolving deltas:  16% (60/371)
2024-08-22T20:40:26.7133820Z Resolving deltas:  17% (64/371)
2024-08-22T20:40:26.7134570Z Resolving deltas:  18% (67/371)
2024-08-22T20:40:26.7134870Z Resolving deltas:  19% (71/371)
2024-08-22T20:40:26.7139350Z Resolving deltas:  20% (75/371)
2024-08-22T20:40:26.7139660Z Resolving deltas:  21% (78/371)
2024-08-22T20:40:26.7139950Z Resolving deltas:  22% (82/371)
2024-08-22T20:40:26.7140520Z Resolving deltas:  23% (86/371)
2024-08-22T20:40:26.7141530Z Resolving deltas:  24% (90/371)
2024-08-22T20:40:26.7143500Z Resolving deltas:  25% (94/371)
2024-08-22T20:40:26.7144570Z Resolving deltas:  26% (97/371)
2024-08-22T20:40:26.7145180Z Resolving deltas:  27% (101/371)
2024-08-22T20:40:26.7145830Z Resolving deltas:  28% (104/371)
2024-08-22T20:40:26.7165910Z Resolving deltas:  29% (108/371)
2024-08-22T20:40:26.7173520Z Resolving deltas:  30% (113/371)
2024-08-22T20:40:26.7176090Z Resolving deltas:  31% (116/371)
2024-08-22T20:40:26.7181100Z Resolving deltas:  32% (119/371)
2024-08-22T20:40:26.7189380Z Resolving deltas:  33% (123/371)
2024-08-22T20:40:26.7189790Z Resolving deltas:  34% (127/371)
2024-08-22T20:40:26.7190100Z Resolving deltas:  35% (130/371)
2024-08-22T20:40:26.7190370Z Resolving deltas:  36% (134/371)
2024-08-22T20:40:26.7216040Z Resolving deltas:  37% (139/371)
2024-08-22T20:40:26.7216340Z Resolving deltas:  38% (141/371)
2024-08-22T20:40:26.7216620Z Resolving deltas:  39% (145/371)
2024-08-22T20:40:26.7216900Z Resolving deltas:  40% (149/371)
2024-08-22T20:40:26.7217180Z Resolving deltas:  41% (153/371)
2024-08-22T20:40:26.7217450Z Resolving deltas:  42% (156/371)
2024-08-22T20:40:26.7217740Z Resolving deltas:  43% (160/371)
2024-08-22T20:40:26.7218020Z Resolving deltas:  44% (165/371)
2024-08-22T20:40:26.7218290Z Resolving deltas:  45% (167/371)
2024-08-22T20:40:26.7218560Z Resolving deltas:  46% (171/371)
2024-08-22T20:40:26.7218830Z Resolving deltas:  47% (175/371)
2024-08-22T20:40:26.7219100Z Resolving deltas:  48% (179/371)
2024-08-22T20:40:26.7219370Z Resolving deltas:  49% (182/371)
2024-08-22T20:40:26.7219640Z Resolving deltas:  50% (186/371)
2024-08-22T20:40:26.7219910Z Resolving deltas:  51% (190/371)
2024-08-22T20:40:26.7220180Z Resolving deltas:  52% (193/371)
2024-08-22T20:40:26.7220450Z Resolving deltas:  53% (197/371)
2024-08-22T20:40:26.7220930Z Resolving deltas:  54% (201/371)
2024-08-22T20:40:26.7221230Z Resolving deltas:  55% (205/371)
2024-08-22T20:40:26.7221490Z Resolving deltas:  56% (208/371)
2024-08-22T20:40:26.7221760Z Resolving deltas:  57% (212/371)
2024-08-22T20:40:26.7222030Z Resolving deltas:  58% (217/371)
2024-08-22T20:40:26.7222390Z Resolving deltas:  59% (220/371)
2024-08-22T20:40:26.7222650Z Resolving deltas:  60% (223/371)
2024-08-22T20:40:26.7222920Z Resolving deltas:  61% (228/371)
2024-08-22T20:40:26.7223180Z Resolving deltas:  62% (231/371)
2024-08-22T20:40:26.7223440Z Resolving deltas:  63% (234/371)
2024-08-22T20:40:26.7223700Z Resolving deltas:  64% (238/371)
2024-08-22T20:40:26.7223970Z Resolving deltas:  65% (242/371)
2024-08-22T20:40:26.7224240Z Resolving deltas:  66% (245/371)
2024-08-22T20:40:26.7224510Z Resolving deltas:  67% (249/371)
2024-08-22T20:40:26.7224780Z Resolving deltas:  68% (253/371)
2024-08-22T20:40:26.7225050Z Resolving deltas:  69% (256/371)
2024-08-22T20:40:26.7225320Z Resolving deltas:  70% (260/371)
2024-08-22T20:40:26.7225590Z Resolving deltas:  71% (265/371)
2024-08-22T20:40:26.7225860Z Resolving deltas:  72% (268/371)
2024-08-22T20:40:26.7226130Z Resolving deltas:  73% (271/371)
2024-08-22T20:40:26.7226390Z Resolving deltas:  74% (277/371)
2024-08-22T20:40:26.7226660Z Resolving deltas:  75% (279/371)
2024-08-22T20:40:26.7226920Z Resolving deltas:  76% (282/371)
2024-08-22T20:40:26.7227190Z Resolving deltas:  77% (287/371)
2024-08-22T20:40:26.7227460Z Resolving deltas:  78% (290/371)
2024-08-22T20:40:26.7227720Z Resolving deltas:  79% (295/371)
2024-08-22T20:40:26.7227980Z Resolving deltas:  80% (297/371)
2024-08-22T20:40:26.7228250Z Resolving deltas:  81% (301/371)
2024-08-22T20:40:26.7228510Z Resolving deltas:  82% (305/371)
2024-08-22T20:40:26.7228770Z Resolving deltas:  83% (308/371)
2024-08-22T20:40:26.7229030Z Resolving deltas:  84% (312/371)
2024-08-22T20:40:26.7229290Z Resolving deltas:  85% (316/371)
2024-08-22T20:40:26.7229550Z Resolving deltas:  86% (322/371)
2024-08-22T20:40:26.7229820Z Resolving deltas:  87% (323/371)
2024-08-22T20:40:26.7230080Z Resolving deltas:  88% (327/371)
2024-08-22T20:40:26.7230340Z Resolving deltas:  89% (331/371)
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2024-08-22T20:40:26.7230870Z Resolving deltas:  91% (338/371)
2024-08-22T20:40:26.7231140Z Resolving deltas:  92% (343/371)
2024-08-22T20:40:26.7231410Z Resolving deltas:  93% (346/371)
2024-08-22T20:40:26.7231670Z Resolving deltas:  94% (349/371)
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2024-08-22T20:40:26.7232190Z Resolving deltas:  96% (359/371)
2024-08-22T20:40:26.7232450Z Resolving deltas:  97% (360/371)
2024-08-22T20:40:26.7232710Z Resolving deltas:  98% (366/371)
2024-08-22T20:40:26.7232970Z Resolving deltas:  99% (368/371)
2024-08-22T20:40:26.7233240Z Resolving deltas: 100% (371/371)
2024-08-22T20:40:26.7233510Z Resolving deltas: 100% (371/371), done.
2024-08-22T20:40:26.7385200Z From https://github.com/pytorch/test-infra
2024-08-22T20:40:26.7385630Z  * [new branch]      main       -> origin/main
2024-08-22T20:40:26.7426620Z ##[endgroup]
2024-08-22T20:40:26.7427000Z ##[group]Determining the checkout info
2024-08-22T20:40:26.7427400Z ##[endgroup]
2024-08-22T20:40:26.7427720Z ##[group]Checking out the ref
2024-08-22T20:40:26.7429080Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main
2024-08-22T20:40:26.9092010Z Reset branch 'main'
2024-08-22T20:40:26.9092350Z branch 'main' set up to track 'origin/main'.
2024-08-22T20:40:26.9097480Z ##[endgroup]
2024-08-22T20:40:26.9170560Z [command]/usr/bin/git log -1 --format='%H'
2024-08-22T20:40:26.9229460Z '6dab351bed7d1c647665a8b8e883ec5b1c973feb'
2024-08-22T20:40:26.9429370Z Prepare all required actions
2024-08-22T20:40:26.9429680Z Getting action download info
2024-08-22T20:40:27.0368990Z Download action repository 'actions/cache@v3' (SHA:e12d46a63a90f2fae62d114769bbf2a179198b5c)
2024-08-22T20:40:27.3991990Z ##[group]Run ./test-infra/.github/actions/setup-miniconda
2024-08-22T20:40:27.3992340Z with:
2024-08-22T20:40:27.3992510Z   python-version: 3.9
2024-08-22T20:40:27.3992720Z   miniconda-version: 23.1.0-1
2024-08-22T20:40:27.3992920Z env:
2024-08-22T20:40:27.3993090Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:40:27.3999390Z   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

python3 torchchat.py generate --device mps --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** embedding"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int8"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int4"
echo "************************************************************"

PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0

2024-08-22T20:40:27.4005970Z ##[endgroup]
2024-08-22T20:40:27.4145080Z ##[group]Run echo "today=$(/bin/date -u '+%Y%m%d')d" >> "${GITHUB_OUTPUT}"
2024-08-22T20:40:27.4145540Z echo "today=$(/bin/date -u '+%Y%m%d')d" >> "${GITHUB_OUTPUT}"
2024-08-22T20:40:27.4162530Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:40:27.4162810Z env:
2024-08-22T20:40:27.4162960Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:40:27.4169480Z   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

python3 torchchat.py generate --device mps --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** embedding"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int8"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int4"
echo "************************************************************"

PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0

2024-08-22T20:40:27.4175970Z ##[endgroup]
2024-08-22T20:40:27.4618900Z ##[group]Run actions/cache@v3
2024-08-22T20:40:27.4619180Z with:
2024-08-22T20:40:27.4619390Z   path: /Users/ec2-user/runner/_work/_temp/miniconda
2024-08-22T20:40:27.4619700Z   key: miniconda-macOS-ARM64-3.9-20240822d
2024-08-22T20:40:27.4620000Z   enableCrossOsArchive: false
2024-08-22T20:40:27.4620230Z   fail-on-cache-miss: false
2024-08-22T20:40:27.4620440Z   lookup-only: false
2024-08-22T20:40:27.4620610Z env:
2024-08-22T20:40:27.4620760Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:40:27.4627240Z   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

python3 torchchat.py generate --device mps --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** embedding"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int8"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int4"
echo "************************************************************"

PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0

2024-08-22T20:40:27.4633660Z ##[endgroup]
2024-08-22T20:40:28.7635380Z Received 191179680 of 191179680 (100.0%), 181.8 MBs/sec
2024-08-22T20:40:28.8055640Z Cache Size: ~182 MB (191179680 B)
2024-08-22T20:40:28.8081120Z [command]/usr/bin/tar -xf /Users/ec2-user/runner/_work/_temp/bfb32035-5ea5-458c-8931-9cb53f4d348f/cache.tzst -P -C /Users/ec2-user/runner/_work/torchchat/torchchat --use-compress-program unzstd
2024-08-22T20:40:34.9306280Z Cache restored successfully
2024-08-22T20:40:34.9405690Z Cache restored from key: miniconda-macOS-ARM64-3.9-20240822d
2024-08-22T20:40:34.9474210Z ##[group]Run set -x
2024-08-22T20:40:34.9474440Z set -x
2024-08-22T20:40:34.9474620Z 
2024-08-22T20:40:34.9474850Z MINICONDA_INSTALL_PATH="${RUNNER_TEMP}/miniconda"
2024-08-22T20:40:34.9475240Z echo "${MINICONDA_INSTALL_PATH}/bin" >> $GITHUB_PATH
2024-08-22T20:40:34.9475690Z # NB: GITHUB_PATH has a lower priority than PATH, so also set the path
2024-08-22T20:40:34.9476140Z # here to make sure that the correct conda is used
2024-08-22T20:40:34.9476470Z {
2024-08-22T20:40:34.9476700Z   echo "PATH=${MINICONDA_INSTALL_PATH}/bin:${PATH}"
2024-08-22T20:40:34.9477080Z   echo "CONDA_EXE=${MINICONDA_INSTALL_PATH}/bin/conda";
2024-08-22T20:40:34.9477410Z } >> "${GITHUB_ENV}"
2024-08-22T20:40:34.9493490Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:40:34.9493780Z env:
2024-08-22T20:40:34.9493940Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:40:34.9500720Z   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

python3 torchchat.py generate --device mps --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** embedding"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int8"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int4"
echo "************************************************************"

PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0

2024-08-22T20:40:34.9507560Z ##[endgroup]
2024-08-22T20:40:34.9893280Z + MINICONDA_INSTALL_PATH=/Users/ec2-user/runner/_work/_temp/miniconda
2024-08-22T20:40:34.9893830Z + echo /Users/ec2-user/runner/_work/_temp/miniconda/bin
2024-08-22T20:40:34.9899360Z + 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
2024-08-22T20:40:34.9906970Z + echo CONDA_EXE=/Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2024-08-22T20:40:35.1350250Z ##[group]Run actions/cache@v3
2024-08-22T20:40:35.1350520Z with:
2024-08-22T20:40:35.1350760Z   path: /Users/ec2-user/runner/_work/_temp/conda-python-3.9
2024-08-22T20:40:35.1351150Z   key: miniconda-env-macOS-ARM64-3.9-20240822d--
2024-08-22T20:40:35.1351440Z   enableCrossOsArchive: false
2024-08-22T20:40:35.1351670Z   fail-on-cache-miss: false
2024-08-22T20:40:35.1351900Z   lookup-only: false
2024-08-22T20:40:35.1352080Z env:
2024-08-22T20:40:35.1352240Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:40:35.1358730Z   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

python3 torchchat.py generate --device mps --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** embedding"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int8"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int4"
echo "************************************************************"

PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0

2024-08-22T20:40:35.1366170Z   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
2024-08-22T20:40:35.1367160Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2024-08-22T20:40:35.1367480Z ##[endgroup]
2024-08-22T20:40:35.6321260Z Cache Size: ~55 MB (57766477 B)
2024-08-22T20:40:35.6337530Z [command]/usr/bin/tar -xf /Users/ec2-user/runner/_work/_temp/35905616-7db7-4277-8af9-d2e9d9829c12/cache.tzst -P -C /Users/ec2-user/runner/_work/torchchat/torchchat --use-compress-program unzstd
2024-08-22T20:40:36.3086870Z Received 57766477 of 57766477 (100.0%), 55.0 MBs/sec
2024-08-22T20:40:37.5127980Z Cache restored successfully
2024-08-22T20:40:37.5205970Z Cache restored from key: miniconda-env-macOS-ARM64-3.9-20240822d--
2024-08-22T20:40:37.5270270Z ##[group]Run set -x
2024-08-22T20:40:37.5270490Z set -x
2024-08-22T20:40:37.5270660Z 
2024-08-22T20:40:37.5270980Z # Print the conda we are using here in case we need debugging information
2024-08-22T20:40:37.5271390Z CONDA_RUNTIME=$(which conda)
2024-08-22T20:40:37.5271660Z "${CONDA_RUNTIME}" --version
2024-08-22T20:40:37.5271940Z 
2024-08-22T20:40:37.5272370Z # https://docs.conda.io/projects/conda-build/en/stable/user-guide/environment-variables.html
2024-08-22T20:40:37.5272970Z CONDA_PREFIX="${RUNNER_TEMP}/conda_environment_${GITHUB_RUN_ID}"
2024-08-22T20:40:37.5273340Z "${CONDA_RUNTIME}" create \
2024-08-22T20:40:37.5273600Z   --yes --quiet \
2024-08-22T20:40:37.5273830Z   --prefix "${CONDA_PREFIX}" \
2024-08-22T20:40:37.5274100Z   --clone "${CONDA_BASE_ENV}"
2024-08-22T20:40:37.5274360Z 
2024-08-22T20:40:37.5274520Z set +e
2024-08-22T20:40:37.5274910Z # NB: Cloning sometimes doesn't copied pip dependencies (untracked files) over. If this
2024-08-22T20:40:37.5275540Z # happens, let's attempt to install the pip requirements directly on top of the cloned
2024-08-22T20:40:37.5276110Z # environment. This is to make sure that no dependency is missing.
2024-08-22T20:40:37.5276700Z UNTRACKED_FILES_COUNT=$("${CONDA_RUNTIME}" package -p "${CONDA_PREFIX}" -u | grep -v "^#" | wc -l | xargs)
2024-08-22T20:40:37.5277170Z set -e
2024-08-22T20:40:37.5277340Z 
2024-08-22T20:40:37.5277680Z if [[ -z "${UNTRACKED_FILES_COUNT}" ]] || [[ "${UNTRACKED_FILES_COUNT}" == "0" ]]; then
2024-08-22T20:40:37.5278120Z   if [[ -f "${PIP_REQUIREMENTS_FILE}" ]]; then
2024-08-22T20:40:37.5278610Z     # NB: Force reinstall and don't use the cache, as the installation would still fail
2024-08-22T20:40:37.5279140Z     # when reporting that all requirements have been satisfied
2024-08-22T20:40:37.5279870Z     "${CONDA_RUNTIME}" run -p "${CONDA_PREFIX}" --no-capture-output python3 -mpip install --ignore-installed --no-cache-dir -r "${PIP_REQUIREMENTS_FILE}"
2024-08-22T20:40:37.5280540Z   elif [[ -n "${PIP_REQUIREMENTS_FILE}" ]]; then
2024-08-22T20:40:37.5281090Z     echo "::warning::Specified pip requirements file (${PIP_REQUIREMENTS_FILE}) not found, not going to include it"
2024-08-22T20:40:37.5281600Z   fi
2024-08-22T20:40:37.5281780Z fi
2024-08-22T20:40:37.5281930Z 
2024-08-22T20:40:37.5282290Z # Keep exporting CONDA_PREFIX under CONDA_ENV because the latter could be used elsewhere
2024-08-22T20:40:37.5282790Z echo "CONDA_ENV=${CONDA_PREFIX}" >> "${GITHUB_ENV}"
2024-08-22T20:40:37.5283080Z 
2024-08-22T20:40:37.5283310Z echo "CONDA_PREFIX=${CONDA_PREFIX}" >> "${GITHUB_ENV}"
2024-08-22T20:40:37.5283820Z echo "CONDA_RUN=${CONDA_RUNTIME} run -p ${CONDA_PREFIX} --no-capture-output" >> "${GITHUB_ENV}"
2024-08-22T20:40:37.5284290Z if [[ "${PYTHON_VERSION}" == "3.11" ]]; then
2024-08-22T20:40:37.5284890Z   # TODO: Remove me, when more packages will be available on default channel
2024-08-22T20:40:37.5285540Z   echo "CONDA_INSTALL=${CONDA_RUNTIME} install --yes --quiet -p ${CONDA_PREFIX} -c pytorch-nightly" >> "${GITHUB_ENV}"
2024-08-22T20:40:37.5286020Z else
2024-08-22T20:40:37.5286380Z   echo "CONDA_INSTALL=${CONDA_RUNTIME} install --yes --quiet -p ${CONDA_PREFIX}" >> "${GITHUB_ENV}"
2024-08-22T20:40:37.5286810Z fi
2024-08-22T20:40:37.5307570Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:40:37.5307860Z env:
2024-08-22T20:40:37.5308030Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:40:37.5314480Z   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

python3 torchchat.py generate --device mps --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** embedding"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int8"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int4"
echo "************************************************************"

PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0

2024-08-22T20:40:37.5321750Z   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
2024-08-22T20:40:37.5322710Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2024-08-22T20:40:37.5323070Z   PYTHON_VERSION: 3.9
2024-08-22T20:40:37.5323370Z   CONDA_BASE_ENV: /Users/ec2-user/runner/_work/_temp/conda-python-3.9
2024-08-22T20:40:37.5323700Z   PIP_REQUIREMENTS_FILE: 
2024-08-22T20:40:37.5323920Z ##[endgroup]
2024-08-22T20:40:37.5701480Z ++ which conda
2024-08-22T20:40:37.5711170Z + CONDA_RUNTIME=/Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2024-08-22T20:40:37.5711820Z + /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda --version
2024-08-22T20:40:39.6966540Z conda 23.1.0
2024-08-22T20:40:39.7479070Z + CONDA_PREFIX=/Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:40:39.7481090Z + /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
2024-08-22T20:40:40.1365870Z Source:      /Users/ec2-user/runner/_work/_temp/conda-python-3.9
2024-08-22T20:40:40.1366460Z Destination: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:40:40.1366880Z Packages: 33
2024-08-22T20:40:40.1367070Z Files: 0
2024-08-22T20:40:40.3237300Z Preparing transaction: ...working... done
2024-08-22T20:40:42.8816250Z Verifying transaction: ...working... done
2024-08-22T20:40:46.4708720Z Executing transaction: ...working... done
2024-08-22T20:40:46.5652210Z + set +e
2024-08-22T20:40:46.5660330Z ++ /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda package -p /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133 -u
2024-08-22T20:40:46.5662190Z ++ grep -v '^#'
2024-08-22T20:40:46.5662890Z ++ wc -l
2024-08-22T20:40:46.5663100Z ++ xargs
2024-08-22T20:40:46.9745110Z + UNTRACKED_FILES_COUNT=0
2024-08-22T20:40:46.9745520Z + set -e
2024-08-22T20:40:46.9745760Z + [[ -z 0 ]]
2024-08-22T20:40:46.9745950Z + [[ 0 == \0 ]]
2024-08-22T20:40:46.9746180Z + [[ -f '' ]]
2024-08-22T20:40:46.9746380Z + [[ -n '' ]]
2024-08-22T20:40:46.9746780Z + echo CONDA_ENV=/Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:40:46.9747420Z + echo CONDA_PREFIX=/Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:40:46.9765110Z + 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'
2024-08-22T20:40:46.9770190Z + [[ 3.9 == \3\.\1\1 ]]
2024-08-22T20:40:46.9770970Z + 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'
2024-08-22T20:40:46.9808430Z ##[group]Run CONDA_RUNTIME=$(which conda)
2024-08-22T20:40:46.9808720Z CONDA_RUNTIME=$(which conda)
2024-08-22T20:40:46.9808970Z 
2024-08-22T20:40:46.9809140Z set -euxo pipefail
2024-08-22T20:40:46.9809440Z "${CONDA_RUNTIME}" config --set channel_priority false
2024-08-22T20:40:46.9827220Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:40:46.9827510Z env:
2024-08-22T20:40:46.9827670Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:40:46.9834300Z   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

python3 torchchat.py generate --device mps --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** embedding"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int8"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int4"
echo "************************************************************"

PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0

2024-08-22T20:40:46.9841520Z   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
2024-08-22T20:40:46.9842470Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2024-08-22T20:40:46.9842920Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:40:46.9843410Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:40:46.9844180Z   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
2024-08-22T20:40:46.9845180Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:40:46.9845800Z ##[endgroup]
2024-08-22T20:40:47.0229070Z + /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda config --set channel_priority false
2024-08-22T20:40:47.2448990Z ##[group]Run actions/checkout@v3
2024-08-22T20:40:47.2449220Z with:
2024-08-22T20:40:47.2449380Z   repository: pytorch/torchchat
2024-08-22T20:40:47.2449600Z   ref: refs/pull/1044/merge
2024-08-22T20:40:47.2449810Z   path: pytorch/torchchat
2024-08-22T20:40:47.2450000Z   fetch-depth: 1
2024-08-22T20:40:47.2450240Z   token: ***
2024-08-22T20:40:47.2450400Z   ssh-strict: true
2024-08-22T20:40:47.2450590Z   persist-credentials: true
2024-08-22T20:40:47.2450790Z   clean: true
2024-08-22T20:40:47.2450960Z   sparse-checkout-cone-mode: true
2024-08-22T20:40:47.2451190Z   fetch-tags: false
2024-08-22T20:40:47.2451360Z   lfs: false
2024-08-22T20:40:47.2451520Z   set-safe-directory: true
2024-08-22T20:40:47.2451710Z env:
2024-08-22T20:40:47.2451860Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:40:47.2458310Z   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

python3 torchchat.py generate --device mps --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** embedding"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int8"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int4"
echo "************************************************************"

PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0

2024-08-22T20:40:47.2465700Z   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
2024-08-22T20:40:47.2466640Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2024-08-22T20:40:47.2467090Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:40:47.2467570Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:40:47.2468330Z   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
2024-08-22T20:40:47.2469530Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:40:47.2470150Z ##[endgroup]
2024-08-22T20:40:47.3271860Z Syncing repository: pytorch/torchchat
2024-08-22T20:40:47.3274670Z ##[group]Getting Git version info
2024-08-22T20:40:47.3275230Z Working directory is '/Users/ec2-user/runner/_work/torchchat/torchchat/pytorch/torchchat'
2024-08-22T20:40:47.3290650Z [command]/usr/bin/git version
2024-08-22T20:40:47.3353860Z git version 2.39.3 (Apple Git-146)
2024-08-22T20:40:47.3367450Z ##[endgroup]
2024-08-22T20:40:47.3374020Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/dd99800e-c17a-4371-a001-0ded38cb3f37' before making global git config changes
2024-08-22T20:40:47.3374840Z Adding repository directory to the temporary git global config as a safe directory
2024-08-22T20:40:47.3376790Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/torchchat/torchchat/pytorch/torchchat
2024-08-22T20:40:47.3443370Z ##[group]Initializing the repository
2024-08-22T20:40:47.3445380Z [command]/usr/bin/git init /Users/ec2-user/runner/_work/torchchat/torchchat/pytorch/torchchat
2024-08-22T20:40:47.3577710Z Initialized empty Git repository in /Users/ec2-user/runner/_work/torchchat/torchchat/pytorch/torchchat/.git/
2024-08-22T20:40:47.3583300Z [command]/usr/bin/git remote add origin https://github.com/pytorch/torchchat
2024-08-22T20:40:47.3649950Z ##[endgroup]
2024-08-22T20:40:47.3650350Z ##[group]Disabling automatic garbage collection
2024-08-22T20:40:47.3652180Z [command]/usr/bin/git config --local gc.auto 0
2024-08-22T20:40:47.3709100Z ##[endgroup]
2024-08-22T20:40:47.3709460Z ##[group]Setting up auth
2024-08-22T20:40:47.3712340Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2024-08-22T20:40:47.3766690Z [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' || :"
2024-08-22T20:40:47.4248060Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2024-08-22T20:40:47.4305040Z [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' || :"
2024-08-22T20:40:47.4776380Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2024-08-22T20:40:47.4839240Z ##[endgroup]
2024-08-22T20:40:47.4839660Z ##[group]Fetching the repository
2024-08-22T20:40:47.4843270Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --progress --no-recurse-submodules --depth=1 origin +refs/pull/1044/merge:refs/remotes/pull/1044/merge
2024-08-22T20:40:47.6957000Z remote: Enumerating objects: 237, done.        
2024-08-22T20:40:47.6958460Z remote: Counting objects:   0% (1/237)        
2024-08-22T20:40:47.6959400Z remote: Counting objects:   1% (3/237)        
2024-08-22T20:40:47.6960280Z remote: Counting objects:   2% (5/237)        
2024-08-22T20:40:47.6961140Z remote: Counting objects:   3% (8/237)        
2024-08-22T20:40:47.6962010Z remote: Counting objects:   4% (10/237)        
2024-08-22T20:40:47.6962890Z remote: Counting objects:   5% (12/237)        
2024-08-22T20:40:47.6963760Z remote: Counting objects:   6% (15/237)        
2024-08-22T20:40:47.6964650Z remote: Counting objects:   7% (17/237)        
2024-08-22T20:40:47.6965530Z remote: Counting objects:   8% (19/237)        
2024-08-22T20:40:47.6966400Z remote: Counting objects:   9% (22/237)        
2024-08-22T20:40:47.6967290Z remote: Counting objects:  10% (24/237)        
2024-08-22T20:40:47.6968170Z remote: Counting objects:  11% (27/237)        
2024-08-22T20:40:47.6969080Z remote: Counting objects:  12% (29/237)        
2024-08-22T20:40:47.6969960Z remote: Counting objects:  13% (31/237)        
2024-08-22T20:40:47.6970820Z remote: Counting objects:  14% (34/237)        
2024-08-22T20:40:47.6972130Z remote: Counting objects:  15% (36/237)        
2024-08-22T20:40:47.6973010Z remote: Counting objects:  16% (38/237)        
2024-08-22T20:40:47.6973890Z remote: Counting objects:  17% (41/237)        
2024-08-22T20:40:47.6974750Z remote: Counting objects:  18% (43/237)        
2024-08-22T20:40:47.6975620Z remote: Counting objects:  19% (46/237)        
2024-08-22T20:40:47.6976560Z remote: Counting objects:  20% (48/237)        
2024-08-22T20:40:47.6977420Z remote: Counting objects:  21% (50/237)        
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2024-08-22T20:40:47.6979170Z remote: Counting objects:  23% (55/237)        
2024-08-22T20:40:47.6980040Z remote: Counting objects:  24% (57/237)        
2024-08-22T20:40:47.6980910Z remote: Counting objects:  25% (60/237)        
2024-08-22T20:40:47.6981790Z remote: Counting objects:  26% (62/237)        
2024-08-22T20:40:47.6982680Z remote: Counting objects:  27% (64/237)        
2024-08-22T20:40:47.6983570Z remote: Counting objects:  28% (67/237)        
2024-08-22T20:40:47.6984440Z remote: Counting objects:  29% (69/237)        
2024-08-22T20:40:47.6985360Z remote: Counting objects:  30% (72/237)        
2024-08-22T20:40:47.6986230Z remote: Counting objects:  31% (74/237)        
2024-08-22T20:40:47.6987090Z remote: Counting objects:  32% (76/237)        
2024-08-22T20:40:47.6987940Z remote: Counting objects:  33% (79/237)        
2024-08-22T20:40:47.6988800Z remote: Counting objects:  34% (81/237)        
2024-08-22T20:40:47.6989660Z remote: Counting objects:  35% (83/237)        
2024-08-22T20:40:47.6990510Z remote: Counting objects:  36% (86/237)        
2024-08-22T20:40:47.6991370Z remote: Counting objects:  37% (88/237)        
2024-08-22T20:40:47.6992230Z remote: Counting objects:  38% (91/237)        
2024-08-22T20:40:47.6993070Z remote: Counting objects:  39% (93/237)        
2024-08-22T20:40:47.6993930Z remote: Counting objects:  40% (95/237)        
2024-08-22T20:40:47.6994770Z remote: Counting objects:  41% (98/237)        
2024-08-22T20:40:47.6995720Z remote: Counting objects:  42% (100/237)        
2024-08-22T20:40:47.6996640Z remote: Counting objects:  43% (102/237)        
2024-08-22T20:40:47.6997530Z remote: Counting objects:  44% (105/237)        
2024-08-22T20:40:47.6998460Z remote: Counting objects:  45% (107/237)        
2024-08-22T20:40:47.6999350Z remote: Counting objects:  46% (110/237)        
2024-08-22T20:40:47.7000230Z remote: Counting objects:  47% (112/237)        
2024-08-22T20:40:47.7001110Z remote: Counting objects:  48% (114/237)        
2024-08-22T20:40:47.7001980Z remote: Counting objects:  49% (117/237)        
2024-08-22T20:40:47.7002740Z remote: Counting objects:  50% (119/237)        
2024-08-22T20:40:47.7003470Z remote: Counting objects:  51% (121/237)        
2024-08-22T20:40:47.7004180Z remote: Counting objects:  52% (124/237)        
2024-08-22T20:40:47.7005110Z remote: Counting objects:  53% (126/237)        
2024-08-22T20:40:47.7005830Z remote: Counting objects:  54% (128/237)        
2024-08-22T20:40:47.7006550Z remote: Counting objects:  55% (131/237)        
2024-08-22T20:40:47.7007270Z remote: Counting objects:  56% (133/237)        
2024-08-22T20:40:47.7007980Z remote: Counting objects:  57% (136/237)        
2024-08-22T20:40:47.7008690Z remote: Counting objects:  58% (138/237)        
2024-08-22T20:40:47.7009400Z remote: Counting objects:  59% (140/237)        
2024-08-22T20:40:47.7010120Z remote: Counting objects:  60% (143/237)        
2024-08-22T20:40:47.7010830Z remote: Counting objects:  61% (145/237)        
2024-08-22T20:40:47.7011530Z remote: Counting objects:  62% (147/237)        
2024-08-22T20:40:47.7012240Z remote: Counting objects:  63% (150/237)        
2024-08-22T20:40:47.7012950Z remote: Counting objects:  64% (152/237)        
2024-08-22T20:40:47.7013660Z remote: Counting objects:  65% (155/237)        
2024-08-22T20:40:47.7014350Z remote: Counting objects:  66% (157/237)        
2024-08-22T20:40:47.7015060Z remote: Counting objects:  67% (159/237)        
2024-08-22T20:40:47.7016030Z remote: Counting objects:  68% (162/237)        
2024-08-22T20:40:47.7016770Z remote: Counting objects:  69% (164/237)        
2024-08-22T20:40:47.7017480Z remote: Counting objects:  70% (166/237)        
2024-08-22T20:40:47.7018230Z remote: Counting objects:  71% (169/237)        
2024-08-22T20:40:47.7018940Z remote: Counting objects:  72% (171/237)        
2024-08-22T20:40:47.7019640Z remote: Counting objects:  73% (174/237)        
2024-08-22T20:40:47.7020380Z remote: Counting objects:  74% (176/237)        
2024-08-22T20:40:47.7021170Z remote: Counting objects:  75% (178/237)        
2024-08-22T20:40:47.7021910Z remote: Counting objects:  76% (181/237)        
2024-08-22T20:40:47.7022660Z remote: Counting objects:  77% (183/237)        
2024-08-22T20:40:47.7023420Z remote: Counting objects:  78% (185/237)        
2024-08-22T20:40:47.7024160Z remote: Counting objects:  79% (188/237)        
2024-08-22T20:40:47.7024920Z remote: Counting objects:  80% (190/237)        
2024-08-22T20:40:47.7025660Z remote: Counting objects:  81% (192/237)        
2024-08-22T20:40:47.7026420Z remote: Counting objects:  82% (195/237)        
2024-08-22T20:40:47.7027150Z remote: Counting objects:  83% (197/237)        
2024-08-22T20:40:47.7027920Z remote: Counting objects:  84% (200/237)        
2024-08-22T20:40:47.7028650Z remote: Counting objects:  85% (202/237)        
2024-08-22T20:40:47.7029430Z remote: Counting objects:  86% (204/237)        
2024-08-22T20:40:47.7030160Z remote: Counting objects:  87% (207/237)        
2024-08-22T20:40:47.7030920Z remote: Counting objects:  88% (209/237)        
2024-08-22T20:40:47.7031650Z remote: Counting objects:  89% (211/237)        
2024-08-22T20:40:47.7032380Z remote: Counting objects:  90% (214/237)        
2024-08-22T20:40:47.7033140Z remote: Counting objects:  91% (216/237)        
2024-08-22T20:40:47.7033870Z remote: Counting objects:  92% (219/237)        
2024-08-22T20:40:47.7034640Z remote: Counting objects:  93% (221/237)        
2024-08-22T20:40:47.7035370Z remote: Counting objects:  94% (223/237)        
2024-08-22T20:40:47.7036130Z remote: Counting objects:  95% (226/237)        
2024-08-22T20:40:47.7036870Z remote: Counting objects:  96% (228/237)        
2024-08-22T20:40:47.7037650Z remote: Counting objects:  97% (230/237)        
2024-08-22T20:40:47.7038380Z remote: Counting objects:  98% (233/237)        
2024-08-22T20:40:47.7039130Z remote: Counting objects:  99% (235/237)        
2024-08-22T20:40:47.7039860Z remote: Counting objects: 100% (237/237)        
2024-08-22T20:40:47.7040720Z remote: Counting objects: 100% (237/237), done.        
2024-08-22T20:40:47.7041550Z remote: Compressing objects:   0% (1/193)        
2024-08-22T20:40:47.7042370Z remote: Compressing objects:   1% (2/193)        
2024-08-22T20:40:47.7043140Z remote: Compressing objects:   2% (4/193)        
2024-08-22T20:40:47.7043900Z remote: Compressing objects:   3% (6/193)        
2024-08-22T20:40:47.7044870Z remote: Compressing objects:   4% (8/193)        
2024-08-22T20:40:47.7045680Z remote: Compressing objects:   5% (10/193)        
2024-08-22T20:40:47.7046550Z remote: Compressing objects:   6% (12/193)        
2024-08-22T20:40:47.7047370Z remote: Compressing objects:   7% (14/193)        
2024-08-22T20:40:47.7048210Z remote: Compressing objects:   8% (16/193)        
2024-08-22T20:40:47.7049010Z remote: Compressing objects:   9% (18/193)        
2024-08-22T20:40:47.7049840Z remote: Compressing objects:  10% (20/193)        
2024-08-22T20:40:47.7050620Z remote: Compressing objects:  11% (22/193)        
2024-08-22T20:40:47.7051450Z remote: Compressing objects:  12% (24/193)        
2024-08-22T20:40:47.7052240Z remote: Compressing objects:  13% (26/193)        
2024-08-22T20:40:47.7053040Z remote: Compressing objects:  14% (28/193)        
2024-08-22T20:40:47.7053830Z remote: Compressing objects:  15% (29/193)        
2024-08-22T20:40:47.7054630Z remote: Compressing objects:  16% (31/193)        
2024-08-22T20:40:47.7055450Z remote: Compressing objects:  17% (33/193)        
2024-08-22T20:40:47.7066190Z remote: Compressing objects:  18% (35/193)        
2024-08-22T20:40:47.7069280Z remote: Compressing objects:  19% (37/193)        
2024-08-22T20:40:47.7070360Z remote: Compressing objects:  20% (39/193)        
2024-08-22T20:40:47.7076620Z remote: Compressing objects:  21% (41/193)        
2024-08-22T20:40:47.7079680Z remote: Compressing objects:  22% (43/193)        
2024-08-22T20:40:47.7080560Z remote: Compressing objects:  23% (45/193)        
2024-08-22T20:40:47.7081570Z remote: Compressing objects:  24% (47/193)        
2024-08-22T20:40:47.7082390Z remote: Compressing objects:  25% (49/193)        
2024-08-22T20:40:47.7083220Z remote: Compressing objects:  26% (51/193)        
2024-08-22T20:40:47.7084390Z remote: Compressing objects:  27% (53/193)        
2024-08-22T20:40:47.7085250Z remote: Compressing objects:  28% (55/193)        
2024-08-22T20:40:47.7090170Z remote: Compressing objects:  29% (56/193)        
2024-08-22T20:40:47.7091690Z remote: Compressing objects:  30% (58/193)        
2024-08-22T20:40:47.7092540Z remote: Compressing objects:  31% (60/193)        
2024-08-22T20:40:47.7093380Z remote: Compressing objects:  32% (62/193)        
2024-08-22T20:40:47.7094220Z remote: Compressing objects:  33% (64/193)        
2024-08-22T20:40:47.7095020Z remote: Compressing objects:  34% (66/193)        
2024-08-22T20:40:47.7095880Z remote: Compressing objects:  35% (68/193)        
2024-08-22T20:40:47.7096670Z remote: Compressing objects:  36% (70/193)        
2024-08-22T20:40:47.7097490Z remote: Compressing objects:  37% (72/193)        
2024-08-22T20:40:47.7098310Z remote: Compressing objects:  38% (74/193)        
2024-08-22T20:40:47.7099120Z remote: Compressing objects:  39% (76/193)        
2024-08-22T20:40:47.7099950Z remote: Compressing objects:  40% (78/193)        
2024-08-22T20:40:47.7100740Z remote: Compressing objects:  41% (80/193)        
2024-08-22T20:40:47.7101560Z remote: Compressing objects:  42% (82/193)        
2024-08-22T20:40:47.7102370Z remote: Compressing objects:  43% (83/193)        
2024-08-22T20:40:47.7103190Z remote: Compressing objects:  44% (85/193)        
2024-08-22T20:40:47.7104120Z remote: Compressing objects:  45% (87/193)        
2024-08-22T20:40:47.7106900Z remote: Compressing objects:  46% (89/193)        
2024-08-22T20:40:47.7107830Z remote: Compressing objects:  47% (91/193)        
2024-08-22T20:40:47.7108660Z remote: Compressing objects:  48% (93/193)        
2024-08-22T20:40:47.7109500Z remote: Compressing objects:  49% (95/193)        
2024-08-22T20:40:47.7110370Z remote: Compressing objects:  50% (97/193)        
2024-08-22T20:40:47.7111160Z remote: Compressing objects:  51% (99/193)        
2024-08-22T20:40:47.7112050Z remote: Compressing objects:  52% (101/193)        
2024-08-22T20:40:47.7112900Z remote: Compressing objects:  53% (103/193)        
2024-08-22T20:40:47.7113770Z remote: Compressing objects:  54% (105/193)        
2024-08-22T20:40:47.7114950Z remote: Compressing objects:  55% (107/193)        
2024-08-22T20:40:47.7115790Z remote: Compressing objects:  56% (109/193)        
2024-08-22T20:40:47.7116630Z remote: Compressing objects:  57% (111/193)        
2024-08-22T20:40:47.7117460Z remote: Compressing objects:  58% (112/193)        
2024-08-22T20:40:47.7118300Z remote: Compressing objects:  59% (114/193)        
2024-08-22T20:40:47.7119140Z remote: Compressing objects:  60% (116/193)        
2024-08-22T20:40:47.7119980Z remote: Compressing objects:  61% (118/193)        
2024-08-22T20:40:47.7120800Z remote: Compressing objects:  62% (120/193)        
2024-08-22T20:40:47.7121640Z remote: Compressing objects:  63% (122/193)        
2024-08-22T20:40:47.7123170Z remote: Compressing objects:  64% (124/193)        
2024-08-22T20:40:47.7124260Z remote: Compressing objects:  65% (126/193)        
2024-08-22T20:40:47.7126260Z remote: Compressing objects:  66% (128/193)        
2024-08-22T20:40:47.7127210Z remote: Compressing objects:  67% (130/193)        
2024-08-22T20:40:47.7128580Z remote: Compressing objects:  68% (132/193)        
2024-08-22T20:40:47.7132190Z remote: Compressing objects:  69% (134/193)        
2024-08-22T20:40:47.7135760Z remote: Compressing objects:  70% (136/193)        
2024-08-22T20:40:47.7137040Z remote: Compressing objects:  71% (138/193)        
2024-08-22T20:40:47.7137950Z remote: Compressing objects:  72% (139/193)        
2024-08-22T20:40:47.7138780Z remote: Compressing objects:  73% (141/193)        
2024-08-22T20:40:47.7143670Z remote: Compressing objects:  74% (143/193)        
2024-08-22T20:40:47.7144570Z remote: Compressing objects:  75% (145/193)        
2024-08-22T20:40:47.7145370Z remote: Compressing objects:  76% (147/193)        
2024-08-22T20:40:47.7146240Z remote: Compressing objects:  77% (149/193)        
2024-08-22T20:40:47.7152810Z remote: Compressing objects:  78% (151/193)        
2024-08-22T20:40:47.7153790Z remote: Compressing objects:  79% (153/193)        
2024-08-22T20:40:47.7154990Z remote: Compressing objects:  80% (155/193)        
2024-08-22T20:40:47.7155830Z remote: Compressing objects:  81% (157/193)        
2024-08-22T20:40:47.7156670Z remote: Compressing objects:  82% (159/193)        
2024-08-22T20:40:47.7157480Z remote: Compressing objects:  83% (161/193)        
2024-08-22T20:40:47.7158280Z remote: Compressing objects:  84% (163/193)        
2024-08-22T20:40:47.7159080Z remote: Compressing objects:  85% (165/193)        
2024-08-22T20:40:47.7159890Z remote: Compressing objects:  86% (166/193)        
2024-08-22T20:40:47.7160670Z remote: Compressing objects:  87% (168/193)        
2024-08-22T20:40:47.7161480Z remote: Compressing objects:  88% (170/193)        
2024-08-22T20:40:47.7162280Z remote: Compressing objects:  89% (172/193)        
2024-08-22T20:40:47.7163110Z remote: Compressing objects:  90% (174/193)        
2024-08-22T20:40:47.7163910Z remote: Compressing objects:  91% (176/193)        
2024-08-22T20:40:47.7164730Z remote: Compressing objects:  92% (178/193)        
2024-08-22T20:40:47.7165550Z remote: Compressing objects:  93% (180/193)        
2024-08-22T20:40:47.7166340Z remote: Compressing objects:  94% (182/193)        
2024-08-22T20:40:47.7167160Z remote: Compressing objects:  95% (184/193)        
2024-08-22T20:40:47.7167950Z remote: Compressing objects:  96% (186/193)        
2024-08-22T20:40:47.7168760Z remote: Compressing objects:  97% (188/193)        
2024-08-22T20:40:47.7169550Z remote: Compressing objects:  98% (190/193)        
2024-08-22T20:40:47.7170360Z remote: Compressing objects:  99% (192/193)        
2024-08-22T20:40:47.7185590Z remote: Compressing objects: 100% (193/193)        
2024-08-22T20:40:47.7186510Z remote: Compressing objects: 100% (193/193), done.        
2024-08-22T20:40:47.7248640Z Receiving objects:   0% (1/237)
2024-08-22T20:40:47.7249140Z Receiving objects:   1% (3/237)
2024-08-22T20:40:47.7249620Z Receiving objects:   2% (5/237)
2024-08-22T20:40:47.7250690Z Receiving objects:   3% (8/237)
2024-08-22T20:40:47.7251520Z Receiving objects:   4% (10/237)
2024-08-22T20:40:47.7252020Z Receiving objects:   5% (12/237)
2024-08-22T20:40:47.7252520Z Receiving objects:   6% (15/237)
2024-08-22T20:40:47.7253000Z Receiving objects:   7% (17/237)
2024-08-22T20:40:47.7253490Z Receiving objects:   8% (19/237)
2024-08-22T20:40:47.7254690Z Receiving objects:   9% (22/237)
2024-08-22T20:40:47.7255240Z Receiving objects:  10% (24/237)
2024-08-22T20:40:47.7255740Z Receiving objects:  11% (27/237)
2024-08-22T20:40:47.7256240Z Receiving objects:  12% (29/237)
2024-08-22T20:40:47.7256740Z Receiving objects:  13% (31/237)
2024-08-22T20:40:47.7257250Z Receiving objects:  14% (34/237)
2024-08-22T20:40:47.7257730Z Receiving objects:  15% (36/237)
2024-08-22T20:40:47.7259690Z Receiving objects:  16% (38/237)
2024-08-22T20:40:47.7260170Z Receiving objects:  17% (41/237)
2024-08-22T20:40:47.7260660Z Receiving objects:  18% (43/237)
2024-08-22T20:40:47.7261130Z Receiving objects:  19% (46/237)
2024-08-22T20:40:47.7261620Z Receiving objects:  20% (48/237)
2024-08-22T20:40:47.7262120Z Receiving objects:  21% (50/237)
2024-08-22T20:40:47.7262600Z Receiving objects:  22% (53/237)
2024-08-22T20:40:47.7263440Z Receiving objects:  23% (55/237)
2024-08-22T20:40:47.7263950Z Receiving objects:  24% (57/237)
2024-08-22T20:40:47.7264430Z Receiving objects:  25% (60/237)
2024-08-22T20:40:47.7264920Z Receiving objects:  26% (62/237)
2024-08-22T20:40:47.7265400Z Receiving objects:  27% (64/237)
2024-08-22T20:40:47.7265900Z Receiving objects:  28% (67/237)
2024-08-22T20:40:47.7266370Z Receiving objects:  29% (69/237)
2024-08-22T20:40:47.7266840Z Receiving objects:  30% (72/237)
2024-08-22T20:40:47.7267310Z Receiving objects:  31% (74/237)
2024-08-22T20:40:47.7267800Z Receiving objects:  32% (76/237)
2024-08-22T20:40:47.7268270Z Receiving objects:  33% (79/237)
2024-08-22T20:40:47.7268730Z Receiving objects:  34% (81/237)
2024-08-22T20:40:47.7269190Z Receiving objects:  35% (83/237)
2024-08-22T20:40:47.7269670Z Receiving objects:  36% (86/237)
2024-08-22T20:40:47.7270150Z Receiving objects:  37% (88/237)
2024-08-22T20:40:47.7270620Z Receiving objects:  38% (91/237)
2024-08-22T20:40:47.7271090Z Receiving objects:  39% (93/237)
2024-08-22T20:40:47.7271580Z Receiving objects:  40% (95/237)
2024-08-22T20:40:47.7272050Z Receiving objects:  41% (98/237)
2024-08-22T20:40:47.7272520Z Receiving objects:  42% (100/237)
2024-08-22T20:40:47.7273020Z Receiving objects:  43% (102/237)
2024-08-22T20:40:47.7273510Z Receiving objects:  44% (105/237)
2024-08-22T20:40:47.7274000Z Receiving objects:  45% (107/237)
2024-08-22T20:40:47.7274500Z Receiving objects:  46% (110/237)
2024-08-22T20:40:47.7274990Z Receiving objects:  47% (112/237)
2024-08-22T20:40:47.7275510Z Receiving objects:  48% (114/237)
2024-08-22T20:40:47.7276000Z Receiving objects:  49% (117/237)
2024-08-22T20:40:47.7276510Z Receiving objects:  50% (119/237)
2024-08-22T20:40:47.7292190Z Receiving objects:  51% (121/237)
2024-08-22T20:40:47.7292980Z Receiving objects:  52% (124/237)
2024-08-22T20:40:47.7387270Z Receiving objects:  53% (126/237)
2024-08-22T20:40:47.7387810Z Receiving objects:  54% (128/237)
2024-08-22T20:40:47.7388780Z Receiving objects:  55% (131/237)
2024-08-22T20:40:47.7390240Z Receiving objects:  56% (133/237)
2024-08-22T20:40:47.7390800Z Receiving objects:  57% (136/237)
2024-08-22T20:40:47.7391290Z Receiving objects:  58% (138/237)
2024-08-22T20:40:47.7391780Z Receiving objects:  59% (140/237)
2024-08-22T20:40:47.7392260Z Receiving objects:  60% (143/237)
2024-08-22T20:40:47.7392740Z Receiving objects:  61% (145/237)
2024-08-22T20:40:47.7393210Z Receiving objects:  62% (147/237)
2024-08-22T20:40:47.7407120Z Receiving objects:  63% (150/237)
2024-08-22T20:40:47.7408200Z Receiving objects:  64% (152/237)
2024-08-22T20:40:47.7409270Z Receiving objects:  65% (155/237)
2024-08-22T20:40:47.7409780Z Receiving objects:  66% (157/237)
2024-08-22T20:40:47.7410260Z Receiving objects:  67% (159/237)
2024-08-22T20:40:47.7410730Z Receiving objects:  68% (162/237)
2024-08-22T20:40:47.7411230Z Receiving objects:  69% (164/237)
2024-08-22T20:40:47.7411980Z Receiving objects:  70% (166/237)
2024-08-22T20:40:47.7412450Z Receiving objects:  71% (169/237)
2024-08-22T20:40:47.7412950Z Receiving objects:  72% (171/237)
2024-08-22T20:40:47.7413420Z Receiving objects:  73% (174/237)
2024-08-22T20:40:47.7413890Z Receiving objects:  74% (176/237)
2024-08-22T20:40:47.7415560Z Receiving objects:  75% (178/237)
2024-08-22T20:40:47.7416090Z Receiving objects:  76% (181/237)
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2024-08-22T20:40:47.7436100Z remote: Total 237 (delta 16), reused 151 (delta 7), pack-reused 0 (from 0)        
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2024-08-22T20:40:47.7445390Z Resolving deltas:   0% (0/16)
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2024-08-22T20:40:47.7452280Z Resolving deltas: 100% (16/16), done.
2024-08-22T20:40:47.7614470Z From https://github.com/pytorch/torchchat
2024-08-22T20:40:47.7615230Z  * [new ref]         refs/pull/1044/merge -> pull/1044/merge
2024-08-22T20:40:47.7669100Z ##[endgroup]
2024-08-22T20:40:47.7669560Z ##[group]Determining the checkout info
2024-08-22T20:40:47.7670370Z ##[endgroup]
2024-08-22T20:40:47.7670840Z ##[group]Checking out the ref
2024-08-22T20:40:47.7673480Z [command]/usr/bin/git checkout --progress --force refs/remotes/pull/1044/merge
2024-08-22T20:40:47.8626160Z Note: switching to 'refs/remotes/pull/1044/merge'.
2024-08-22T20:40:47.8626490Z 
2024-08-22T20:40:47.8626990Z You are in 'detached HEAD' state. You can look around, make experimental
2024-08-22T20:40:47.8627640Z changes and commit them, and you can discard any commits you make in this
2024-08-22T20:40:47.8628270Z state without impacting any branches by switching back to a branch.
2024-08-22T20:40:47.8628640Z 
2024-08-22T20:40:47.8628890Z If you want to create a new branch to retain commits you create, you may
2024-08-22T20:40:47.8629770Z do so (now or later) by using -c with the switch command. Example:
2024-08-22T20:40:47.8630140Z 
2024-08-22T20:40:47.8630290Z   git switch -c <new-branch-name>
2024-08-22T20:40:47.8630510Z 
2024-08-22T20:40:47.8630620Z Or undo this operation with:
2024-08-22T20:40:47.8630810Z 
2024-08-22T20:40:47.8630900Z   git switch -
2024-08-22T20:40:47.8631040Z 
2024-08-22T20:40:47.8631320Z Turn off this advice by setting config variable advice.detachedHead to false
2024-08-22T20:40:47.8631690Z 
2024-08-22T20:40:47.8632100Z HEAD is now at 0e4d4b1 Merge c8dc18a48d66f51855d89294f3ca800692cd5dad into d5bb3c6659c8978a95c5141eb31e6e58f94af20a
2024-08-22T20:40:47.8633270Z ##[endgroup]
2024-08-22T20:40:47.8711270Z [command]/usr/bin/git log -1 --format='%H'
2024-08-22T20:40:47.8770280Z '0e4d4b184770ee5c0943c8ad43f2a1be7a2dd2c9'
2024-08-22T20:40:47.8827810Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2024-08-22T20:40:47.8828200Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2024-08-22T20:40:47.8828530Z mkdir -p "${RUNNER_ARTIFACT_DIR}"
2024-08-22T20:40:47.8828910Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}"
2024-08-22T20:40:47.8829250Z 
2024-08-22T20:40:47.8829480Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results"
2024-08-22T20:40:47.8829820Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}"
2024-08-22T20:40:47.8830220Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}"
2024-08-22T20:40:47.8847820Z shell: /bin/bash -e {0}
2024-08-22T20:40:47.8848020Z env:
2024-08-22T20:40:47.8848190Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:40:47.8854710Z   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

python3 torchchat.py generate --device mps --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** embedding"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int8"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int4"
echo "************************************************************"

PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0

2024-08-22T20:40:47.8862120Z   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
2024-08-22T20:40:47.8863060Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2024-08-22T20:40:47.8863510Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:40:47.8864000Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:40:47.8864750Z   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
2024-08-22T20:40:47.8865980Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:40:47.8866610Z ##[endgroup]
2024-08-22T20:40:47.9331320Z ##[group]Run {
2024-08-22T20:40:47.9331550Z {
2024-08-22T20:40:47.9331740Z   echo "#!/usr/bin/env bash";
2024-08-22T20:40:47.9332000Z   echo "set -eou pipefail";
2024-08-22T20:40:47.9332350Z   # Source conda so it's available to the script environment
2024-08-22T20:40:47.9332760Z   echo 'eval "$(conda shell.bash hook)"';
2024-08-22T20:40:47.9333050Z   echo "${SCRIPT}";
2024-08-22T20:40:47.9333290Z } > "${RUNNER_TEMP}/exec_script"
2024-08-22T20:40:47.9333570Z while read line; do
2024-08-22T20:40:47.9333800Z   eval "export ${line}"
2024-08-22T20:40:47.9334090Z done < "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2024-08-22T20:40:47.9334690Z python3 "/Users/ec2-user/runner/_work/torchchat/torchchat/test-infra/.github/scripts/run_with_env_secrets.py" ""
2024-08-22T20:40:47.9351970Z shell: /bin/bash -l {0}
2024-08-22T20:40:47.9352160Z env:
2024-08-22T20:40:47.9352370Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:40:47.9358840Z   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

python3 torchchat.py generate --device mps --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** embedding"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int8"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int4"
echo "************************************************************"

PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0

2024-08-22T20:40:47.9366100Z   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
2024-08-22T20:40:47.9367040Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2024-08-22T20:40:47.9367480Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:40:47.9367960Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:40:47.9368980Z   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
2024-08-22T20:40:47.9370030Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:40:47.9370730Z   RUNNER_ARTIFACT_DIR: /Users/ec2-user/runner/_work/_temp/artifacts
2024-08-22T20:40:47.9371150Z   RUNNER_TEST_RESULTS_DIR: /Users/ec2-user/runner/_work/_temp/test-results
2024-08-22T20:40:47.9371680Z   ALL_SECRETS: {
  "github_token": "***"
}
2024-08-22T20:40:47.9371920Z ##[endgroup]
2024-08-22T20:40:48.0932970Z /Users/ec2-user/runner/_work/_temp/30aad3cc-8dda-4d56-92cc-e4b772b0f5d0.sh: line 10: /Users/ec2-user/runner/_work/_temp/github_env_10515112133: No such file or directory
2024-08-22T20:41:09.1182420Z Running command: bash /Users/ec2-user/runner/_work/_temp/exec_script
2024-08-22T20:41:09.1182910Z + pip3 uninstall -y torch
2024-08-22T20:41:09.1183240Z Found existing installation: torch 2.5.0.dev20240814
2024-08-22T20:41:09.1183690Z Uninstalling torch-2.5.0.dev20240814:
2024-08-22T20:41:09.1184070Z   Successfully uninstalled torch-2.5.0.dev20240814
2024-08-22T20:41:09.1184470Z + set -eou pipefail
2024-08-22T20:41:09.1184720Z + pip3 uninstall -y torchao
2024-08-22T20:41:09.1185040Z Found existing installation: torchao 0.4.0+gite11201a
2024-08-22T20:41:09.1185430Z Uninstalling torchao-0.4.0+gite11201a:
2024-08-22T20:41:09.1185820Z   Successfully uninstalled torchao-0.4.0+gite11201a
2024-08-22T20:41:09.1186160Z + set -eou pipefail
2024-08-22T20:41:09.1194970Z + echo '::group::Print machine info'
2024-08-22T20:41:09.1195580Z ##[group]Print machine info
2024-08-22T20:41:09.1195820Z + uname -a
2024-08-22T20:41:09.1196530Z Darwin ip-10-0-0-196.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
2024-08-22T20:41:09.1197250Z + sysctl machdep.cpu.brand_string
2024-08-22T20:41:09.1197550Z machdep.cpu.brand_string: Apple M1
2024-08-22T20:41:09.1197840Z + sysctl machdep.cpu.core_count
2024-08-22T20:41:09.1198100Z machdep.cpu.core_count: 8
2024-08-22T20:41:09.1198320Z + echo ::endgroup::
2024-08-22T20:41:09.1198680Z ##[endgroup]
2024-08-22T20:41:09.1198940Z + echo '::group::Install requirements'
2024-08-22T20:41:09.1199380Z ##[group]Install requirements
2024-08-22T20:41:09.1199630Z + ./install_requirements.sh
2024-08-22T20:41:09.1200200Z + pip3 install -r requirements.txt --extra-index-url https://download.pytorch.org/whl/nightly/cu121
2024-08-22T20:41:09.1200940Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cu121
2024-08-22T20:41:09.1201620Z Ignoring tomli: markers 'python_version < "3.11"' don't match your environment
2024-08-22T20:41:09.1202650Z Requirement already satisfied: huggingface_hub in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from -r requirements.txt (line 4)) (0.24.6)
2024-08-22T20:41:09.1203970Z Requirement already satisfied: gguf in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from -r requirements.txt (line 7)) (0.9.1)
2024-08-22T20:41:09.1205560Z Requirement already satisfied: tiktoken in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from -r requirements.txt (line 10)) (0.7.0)
2024-08-22T20:41:09.1206890Z Requirement already satisfied: snakeviz in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from -r requirements.txt (line 13)) (2.2.0)
2024-08-22T20:41:09.1208240Z Requirement already satisfied: sentencepiece in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from -r requirements.txt (line 14)) (0.2.0)
2024-08-22T20:41:09.1209630Z Requirement already satisfied: numpy<2.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from -r requirements.txt (line 15)) (1.26.4)
2024-08-22T20:41:09.1211270Z Requirement already satisfied: lm-eval==0.4.2 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from -r requirements.txt (line 17)) (0.4.2)
2024-08-22T20:41:09.1212600Z Requirement already satisfied: blobfile in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from -r requirements.txt (line 18)) (2.1.1)
2024-08-22T20:41:09.1213880Z Requirement already satisfied: wheel in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from -r requirements.txt (line 22)) (0.43.0)
2024-08-22T20:41:09.1215160Z Requirement already satisfied: cmake>=3.24 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from -r requirements.txt (line 23)) (3.30.2)
2024-08-22T20:41:09.1216460Z Requirement already satisfied: ninja in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from -r requirements.txt (line 24)) (1.11.1.1)
2024-08-22T20:41:09.1217740Z Requirement already satisfied: zstd in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from -r requirements.txt (line 25)) (1.5.5.1)
2024-08-22T20:41:09.1219010Z Requirement already satisfied: streamlit in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from -r requirements.txt (line 28)) (1.37.1)
2024-08-22T20:41:09.1220190Z Requirement already satisfied: flask in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from -r requirements.txt (line 31)) (3.0.3)
2024-08-22T20:41:09.1221470Z Requirement already satisfied: accelerate>=0.21.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from lm-eval==0.4.2->-r requirements.txt (line 17)) (0.33.0)
2024-08-22T20:41:09.1222810Z Requirement already satisfied: evaluate in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from lm-eval==0.4.2->-r requirements.txt (line 17)) (0.4.2)
2024-08-22T20:41:09.1224150Z Requirement already satisfied: datasets>=2.16.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from lm-eval==0.4.2->-r requirements.txt (line 17)) (2.21.0)
2024-08-22T20:41:09.1225490Z Requirement already satisfied: jsonlines in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from lm-eval==0.4.2->-r requirements.txt (line 17)) (4.0.0)
2024-08-22T20:41:09.1226800Z Requirement already satisfied: numexpr in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from lm-eval==0.4.2->-r requirements.txt (line 17)) (2.10.1)
2024-08-22T20:41:09.1228120Z Requirement already satisfied: peft>=0.2.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from lm-eval==0.4.2->-r requirements.txt (line 17)) (0.12.0)
2024-08-22T20:41:09.1229490Z Requirement already satisfied: pybind11>=2.6.2 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from lm-eval==0.4.2->-r requirements.txt (line 17)) (2.13.5)
2024-08-22T20:41:09.1230840Z Requirement already satisfied: pytablewriter in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from lm-eval==0.4.2->-r requirements.txt (line 17)) (1.2.0)
2024-08-22T20:41:09.1232230Z Requirement already satisfied: rouge-score>=0.0.4 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from lm-eval==0.4.2->-r requirements.txt (line 17)) (0.1.2)
2024-08-22T20:41:09.1233700Z Requirement already satisfied: sacrebleu>=1.5.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from lm-eval==0.4.2->-r requirements.txt (line 17)) (2.4.3)
2024-08-22T20:41:09.1235070Z Requirement already satisfied: scikit-learn>=0.24.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from lm-eval==0.4.2->-r requirements.txt (line 17)) (1.5.1)
2024-08-22T20:41:09.1236420Z Requirement already satisfied: sqlitedict in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from lm-eval==0.4.2->-r requirements.txt (line 17)) (2.1.0)
2024-08-22T20:41:09.1237330Z Collecting torch>=1.8 (from lm-eval==0.4.2->-r requirements.txt (line 17))
2024-08-22T20:41:09.1237890Z   Using cached torch-2.4.0-cp312-none-macosx_11_0_arm64.whl.metadata (26 kB)
2024-08-22T20:41:09.1239030Z Requirement already satisfied: tqdm-multiprocess in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from lm-eval==0.4.2->-r requirements.txt (line 17)) (0.0.11)
2024-08-22T20:41:09.1240440Z Requirement already satisfied: transformers>=4.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from lm-eval==0.4.2->-r requirements.txt (line 17)) (4.44.2)
2024-08-22T20:41:09.1241780Z Requirement already satisfied: zstandard in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from lm-eval==0.4.2->-r requirements.txt (line 17)) (0.22.0)
2024-08-22T20:41:09.1243090Z Requirement already satisfied: dill in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from lm-eval==0.4.2->-r requirements.txt (line 17)) (0.3.8)
2024-08-22T20:41:09.1244390Z Requirement already satisfied: word2number in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from lm-eval==0.4.2->-r requirements.txt (line 17)) (1.1)
2024-08-22T20:41:09.1245740Z Requirement already satisfied: more-itertools in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from lm-eval==0.4.2->-r requirements.txt (line 17)) (10.4.0)
2024-08-22T20:41:09.1247120Z Requirement already satisfied: filelock in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from huggingface_hub->-r requirements.txt (line 4)) (3.15.4)
2024-08-22T20:41:09.1248480Z Requirement already satisfied: fsspec>=2023.5.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from huggingface_hub->-r requirements.txt (line 4)) (2024.6.1)
2024-08-22T20:41:09.1249860Z Requirement already satisfied: packaging>=20.9 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from huggingface_hub->-r requirements.txt (line 4)) (23.2)
2024-08-22T20:41:09.1251210Z Requirement already satisfied: pyyaml>=5.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from huggingface_hub->-r requirements.txt (line 4)) (6.0.2)
2024-08-22T20:41:09.1252580Z Requirement already satisfied: requests in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from huggingface_hub->-r requirements.txt (line 4)) (2.32.2)
2024-08-22T20:41:09.1253930Z Requirement already satisfied: tqdm>=4.42.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from huggingface_hub->-r requirements.txt (line 4)) (4.66.4)
2024-08-22T20:41:09.1255370Z Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from huggingface_hub->-r requirements.txt (line 4)) (4.12.2)
2024-08-22T20:41:09.1256800Z Requirement already satisfied: regex>=2022.1.18 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from tiktoken->-r requirements.txt (line 10)) (2024.7.24)
2024-08-22T20:41:09.1258170Z Requirement already satisfied: tornado>=2.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from snakeviz->-r requirements.txt (line 13)) (6.4.1)
2024-08-22T20:41:09.1259510Z Requirement already satisfied: pycryptodomex~=3.8 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from blobfile->-r requirements.txt (line 18)) (3.20.0)
2024-08-22T20:41:09.1261000Z Requirement already satisfied: urllib3<3,>=1.25.3 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from blobfile->-r requirements.txt (line 18)) (2.2.2)
2024-08-22T20:41:09.1268100Z Requirement already satisfied: lxml~=4.9 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from blobfile->-r requirements.txt (line 18)) (4.9.4)
2024-08-22T20:41:09.1269320Z Requirement already satisfied: altair<6,>=4.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from streamlit->-r requirements.txt (line 28)) (5.4.0)
2024-08-22T20:41:09.1270560Z Requirement already satisfied: blinker<2,>=1.0.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from streamlit->-r requirements.txt (line 28)) (1.8.2)
2024-08-22T20:41:09.1271960Z Requirement already satisfied: cachetools<6,>=4.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from streamlit->-r requirements.txt (line 28)) (5.5.0)
2024-08-22T20:41:09.1273210Z Requirement already satisfied: click<9,>=7.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from streamlit->-r requirements.txt (line 28)) (8.1.7)
2024-08-22T20:41:09.1274440Z Requirement already satisfied: pandas<3,>=1.3.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from streamlit->-r requirements.txt (line 28)) (2.2.2)
2024-08-22T20:41:09.1275680Z Requirement already satisfied: pillow<11,>=7.1.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from streamlit->-r requirements.txt (line 28)) (10.4.0)
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2024-08-22T20:41:09.1278190Z Requirement already satisfied: pyarrow>=7.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from streamlit->-r requirements.txt (line 28)) (17.0.0)
2024-08-22T20:41:09.1279460Z Requirement already satisfied: rich<14,>=10.14.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from streamlit->-r requirements.txt (line 28)) (13.7.1)
2024-08-22T20:41:09.1280710Z Requirement already satisfied: tenacity<9,>=8.1.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from streamlit->-r requirements.txt (line 28)) (8.5.0)
2024-08-22T20:41:09.1282210Z Requirement already satisfied: toml<2,>=0.10.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from streamlit->-r requirements.txt (line 28)) (0.10.2)
2024-08-22T20:41:09.1283500Z Requirement already satisfied: gitpython!=3.1.19,<4,>=3.0.7 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from streamlit->-r requirements.txt (line 28)) (3.1.43)
2024-08-22T20:41:09.1284790Z Requirement already satisfied: pydeck<1,>=0.8.0b4 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from streamlit->-r requirements.txt (line 28)) (0.9.1)
2024-08-22T20:41:09.1286060Z Requirement already satisfied: Werkzeug>=3.0.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from flask->-r requirements.txt (line 31)) (3.0.4)
2024-08-22T20:41:09.1287270Z Requirement already satisfied: Jinja2>=3.1.2 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from flask->-r requirements.txt (line 31)) (3.1.4)
2024-08-22T20:41:09.1288520Z Requirement already satisfied: itsdangerous>=2.1.2 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from flask->-r requirements.txt (line 31)) (2.2.0)
2024-08-22T20:41:09.1289840Z Requirement already satisfied: psutil in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from accelerate>=0.21.0->lm-eval==0.4.2->-r requirements.txt (line 17)) (6.0.0)
2024-08-22T20:41:09.1291230Z Requirement already satisfied: safetensors>=0.3.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from accelerate>=0.21.0->lm-eval==0.4.2->-r requirements.txt (line 17)) (0.4.4)
2024-08-22T20:41:09.1292760Z Requirement already satisfied: jsonschema>=3.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from altair<6,>=4.0->streamlit->-r requirements.txt (line 28)) (4.23.0)
2024-08-22T20:41:09.1294150Z Requirement already satisfied: narwhals>=1.1.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from altair<6,>=4.0->streamlit->-r requirements.txt (line 28)) (1.5.2)
2024-08-22T20:41:09.1295530Z Requirement already satisfied: xxhash in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from datasets>=2.16.0->lm-eval==0.4.2->-r requirements.txt (line 17)) (3.5.0)
2024-08-22T20:41:09.1296950Z Requirement already satisfied: multiprocess in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from datasets>=2.16.0->lm-eval==0.4.2->-r requirements.txt (line 17)) (0.70.16)
2024-08-22T20:41:09.1298530Z Requirement already satisfied: aiohttp in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from datasets>=2.16.0->lm-eval==0.4.2->-r requirements.txt (line 17)) (3.10.5)
2024-08-22T20:41:09.1299970Z Requirement already satisfied: gitdb<5,>=4.0.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from gitpython!=3.1.19,<4,>=3.0.7->streamlit->-r requirements.txt (line 28)) (4.0.11)
2024-08-22T20:41:09.1301400Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from Jinja2>=3.1.2->flask->-r requirements.txt (line 31)) (2.1.5)
2024-08-22T20:41:09.1302830Z Requirement already satisfied: python-dateutil>=2.8.2 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from pandas<3,>=1.3.0->streamlit->-r requirements.txt (line 28)) (2.9.0.post0)
2024-08-22T20:41:09.1304280Z Requirement already satisfied: pytz>=2020.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from pandas<3,>=1.3.0->streamlit->-r requirements.txt (line 28)) (2024.1)
2024-08-22T20:41:09.1305760Z Requirement already satisfied: tzdata>=2022.7 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from pandas<3,>=1.3.0->streamlit->-r requirements.txt (line 28)) (2024.1)
2024-08-22T20:41:09.1307210Z Requirement already satisfied: charset-normalizer<4,>=2 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from requests->huggingface_hub->-r requirements.txt (line 4)) (2.0.4)
2024-08-22T20:41:09.1308600Z Requirement already satisfied: idna<4,>=2.5 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from requests->huggingface_hub->-r requirements.txt (line 4)) (3.7)
2024-08-22T20:41:09.1309990Z Requirement already satisfied: certifi>=2017.4.17 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from requests->huggingface_hub->-r requirements.txt (line 4)) (2024.7.4)
2024-08-22T20:41:09.1311490Z Requirement already satisfied: markdown-it-py>=2.2.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from rich<14,>=10.14.0->streamlit->-r requirements.txt (line 28)) (3.0.0)
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2024-08-22T20:41:09.1314340Z Requirement already satisfied: absl-py in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from rouge-score>=0.0.4->lm-eval==0.4.2->-r requirements.txt (line 17)) (2.1.0)
2024-08-22T20:41:09.1315710Z Requirement already satisfied: nltk in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from rouge-score>=0.0.4->lm-eval==0.4.2->-r requirements.txt (line 17)) (3.9.1)
2024-08-22T20:41:09.1317110Z Requirement already satisfied: six>=1.14.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from rouge-score>=0.0.4->lm-eval==0.4.2->-r requirements.txt (line 17)) (1.16.0)
2024-08-22T20:41:09.1318600Z Requirement already satisfied: portalocker in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from sacrebleu>=1.5.0->lm-eval==0.4.2->-r requirements.txt (line 17)) (2.10.1)
2024-08-22T20:41:09.1320020Z Requirement already satisfied: tabulate>=0.8.9 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from sacrebleu>=1.5.0->lm-eval==0.4.2->-r requirements.txt (line 17)) (0.9.0)
2024-08-22T20:41:09.1321410Z Requirement already satisfied: colorama in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from sacrebleu>=1.5.0->lm-eval==0.4.2->-r requirements.txt (line 17)) (0.4.6)
2024-08-22T20:41:09.1322810Z Requirement already satisfied: scipy>=1.6.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from scikit-learn>=0.24.1->lm-eval==0.4.2->-r requirements.txt (line 17)) (1.14.1)
2024-08-22T20:41:52.3628200Z Requirement already satisfied: joblib>=1.2.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from scikit-learn>=0.24.1->lm-eval==0.4.2->-r requirements.txt (line 17)) (1.4.2)
2024-08-22T20:41:52.3629860Z Requirement already satisfied: threadpoolctl>=3.1.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from scikit-learn>=0.24.1->lm-eval==0.4.2->-r requirements.txt (line 17)) (3.5.0)
2024-08-22T20:41:52.3631340Z Requirement already satisfied: sympy in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from torch>=1.8->lm-eval==0.4.2->-r requirements.txt (line 17)) (1.13.1)
2024-08-22T20:41:52.3632730Z Requirement already satisfied: networkx in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from torch>=1.8->lm-eval==0.4.2->-r requirements.txt (line 17)) (3.3)
2024-08-22T20:41:52.3634140Z Requirement already satisfied: setuptools in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from torch>=1.8->lm-eval==0.4.2->-r requirements.txt (line 17)) (69.5.1)
2024-08-22T20:41:52.3635630Z Requirement already satisfied: tokenizers<0.20,>=0.19 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from transformers>=4.1->lm-eval==0.4.2->-r requirements.txt (line 17)) (0.19.1)
2024-08-22T20:41:52.3637110Z Requirement already satisfied: attrs>=19.2.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from jsonlines->lm-eval==0.4.2->-r requirements.txt (line 17)) (24.2.0)
2024-08-22T20:41:52.3638580Z Requirement already satisfied: DataProperty<2,>=1.0.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from pytablewriter->lm-eval==0.4.2->-r requirements.txt (line 17)) (1.0.1)
2024-08-22T20:41:52.3640070Z Requirement already satisfied: mbstrdecoder<2,>=1.0.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from pytablewriter->lm-eval==0.4.2->-r requirements.txt (line 17)) (1.1.3)
2024-08-22T20:41:52.3641560Z Requirement already satisfied: pathvalidate<4,>=2.3.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from pytablewriter->lm-eval==0.4.2->-r requirements.txt (line 17)) (3.2.0)
2024-08-22T20:41:52.3643040Z Requirement already satisfied: tabledata<2,>=1.3.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from pytablewriter->lm-eval==0.4.2->-r requirements.txt (line 17)) (1.3.3)
2024-08-22T20:41:52.3644510Z Requirement already satisfied: tcolorpy<1,>=0.0.5 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from pytablewriter->lm-eval==0.4.2->-r requirements.txt (line 17)) (0.1.6)
2024-08-22T20:41:52.3646090Z Requirement already satisfied: typepy<2,>=1.3.2 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from typepy[datetime]<2,>=1.3.2->pytablewriter->lm-eval==0.4.2->-r requirements.txt (line 17)) (1.3.2)
2024-08-22T20:41:52.3647650Z Requirement already satisfied: aiohappyeyeballs>=2.3.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from aiohttp->datasets>=2.16.0->lm-eval==0.4.2->-r requirements.txt (line 17)) (2.4.0)
2024-08-22T20:41:52.3649350Z Requirement already satisfied: aiosignal>=1.1.2 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from aiohttp->datasets>=2.16.0->lm-eval==0.4.2->-r requirements.txt (line 17)) (1.3.1)
2024-08-22T20:41:52.3650840Z Requirement already satisfied: frozenlist>=1.1.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from aiohttp->datasets>=2.16.0->lm-eval==0.4.2->-r requirements.txt (line 17)) (1.4.1)
2024-08-22T20:41:52.3652370Z Requirement already satisfied: multidict<7.0,>=4.5 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from aiohttp->datasets>=2.16.0->lm-eval==0.4.2->-r requirements.txt (line 17)) (6.0.5)
2024-08-22T20:41:52.3653850Z Requirement already satisfied: yarl<2.0,>=1.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from aiohttp->datasets>=2.16.0->lm-eval==0.4.2->-r requirements.txt (line 17)) (1.9.4)
2024-08-22T20:41:52.3663710Z Requirement already satisfied: smmap<6,>=3.0.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from gitdb<5,>=4.0.1->gitpython!=3.1.19,<4,>=3.0.7->streamlit->-r requirements.txt (line 28)) (5.0.1)
2024-08-22T20:41:52.3665360Z Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from jsonschema>=3.0->altair<6,>=4.0->streamlit->-r requirements.txt (line 28)) (2023.12.1)
2024-08-22T20:41:52.3667010Z Requirement already satisfied: referencing>=0.28.4 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from jsonschema>=3.0->altair<6,>=4.0->streamlit->-r requirements.txt (line 28)) (0.35.1)
2024-08-22T20:41:52.3668510Z Requirement already satisfied: rpds-py>=0.7.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from jsonschema>=3.0->altair<6,>=4.0->streamlit->-r requirements.txt (line 28)) (0.20.0)
2024-08-22T20:41:52.3670000Z Requirement already satisfied: mdurl~=0.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from markdown-it-py>=2.2.0->rich<14,>=10.14.0->streamlit->-r requirements.txt (line 28)) (0.1.2)
2024-08-22T20:41:52.3671540Z Requirement already satisfied: chardet<6,>=3.0.4 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from mbstrdecoder<2,>=1.0.0->pytablewriter->lm-eval==0.4.2->-r requirements.txt (line 17)) (5.2.0)
2024-08-22T20:41:52.3673030Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from sympy->torch>=1.8->lm-eval==0.4.2->-r requirements.txt (line 17)) (1.3.0)
2024-08-22T20:41:52.3673970Z Using cached torch-2.4.0-cp312-none-macosx_11_0_arm64.whl (62.1 MB)
2024-08-22T20:41:52.3674340Z Installing collected packages: torch
2024-08-22T20:41:52.3674640Z Successfully installed torch-2.4.0
2024-08-22T20:41:52.3674920Z + pip3 uninstall -y triton
2024-08-22T20:41:52.3675180Z WARNING: Skipping triton as it is not installed.
2024-08-22T20:41:52.3675750Z + pip3 install --extra-index-url https://download.pytorch.org/whl/nightly/cpu torch==2.5.0.dev20240814
2024-08-22T20:41:52.3676410Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2024-08-22T20:41:52.3676840Z Collecting torch==2.5.0.dev20240814
2024-08-22T20:41:52.3677480Z   Using cached https://download.pytorch.org/whl/nightly/cpu/torch-2.5.0.dev20240814-cp312-none-macosx_11_0_arm64.whl (63.4 MB)
2024-08-22T20:41:52.3678540Z Requirement already satisfied: filelock in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from torch==2.5.0.dev20240814) (3.15.4)
2024-08-22T20:41:52.3679730Z 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)
2024-08-22T20:41:52.3680890Z Requirement already satisfied: networkx in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from torch==2.5.0.dev20240814) (3.3)
2024-08-22T20:41:52.3682000Z Requirement already satisfied: jinja2 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from torch==2.5.0.dev20240814) (3.1.4)
2024-08-22T20:41:52.3683260Z Requirement already satisfied: fsspec in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from torch==2.5.0.dev20240814) (2024.6.1)
2024-08-22T20:41:52.3684380Z Requirement already satisfied: setuptools in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from torch==2.5.0.dev20240814) (69.5.1)
2024-08-22T20:41:52.3685530Z Requirement already satisfied: sympy==1.13.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from torch==2.5.0.dev20240814) (1.13.1)
2024-08-22T20:41:52.3686740Z 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)
2024-08-22T20:41:52.3688080Z 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)
2024-08-22T20:41:52.3688790Z Installing collected packages: torch
2024-08-22T20:41:52.3689050Z   Attempting uninstall: torch
2024-08-22T20:41:52.3689300Z     Found existing installation: torch 2.4.0
2024-08-22T20:41:52.3689600Z     Uninstalling torch-2.4.0:
2024-08-22T20:41:52.3689870Z       Successfully uninstalled torch-2.4.0
2024-08-22T20:41:52.3690200Z Successfully installed torch-2.5.0.dev20240814
2024-08-22T20:41:52.3690680Z + pip3 install git+https://github.com/pytorch/ao.git@e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:41:52.3691280Z Collecting git+https://github.com/pytorch/ao.git@e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:41:52.3692300Z   Cloning https://github.com/pytorch/ao.git (to revision e11201a62669f582d81cdb33e031a07fb8dfc4f3) to /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-req-build-jumt57ta
2024-08-22T20:41:52.3693620Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/ao.git /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-req-build-jumt57ta
2024-08-22T20:41:52.3694550Z   Running command git rev-parse -q --verify 'sha^e11201a62669f582d81cdb33e031a07fb8dfc4f3'
2024-08-22T20:41:52.3695230Z   Running command git fetch -q https://github.com/pytorch/ao.git e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:41:52.3695860Z   Running command git checkout -q e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:41:52.3696430Z   Resolved https://github.com/pytorch/ao.git to commit e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:41:52.3696890Z   Preparing metadata (setup.py): started
2024-08-22T20:41:52.3697270Z   Preparing metadata (setup.py): finished with status 'done'
2024-08-22T20:41:52.3697640Z Building wheels for collected packages: torchao
2024-08-22T20:41:52.3697970Z   Building wheel for torchao (setup.py): started
2024-08-22T20:41:52.3698390Z   Building wheel for torchao (setup.py): finished with status 'done'
2024-08-22T20:41:52.3699310Z   Created wheel for torchao: filename=torchao-0.4.0+gite11201a-cp312-cp312-macosx_11_0_arm64.whl size=340096 sha256=1418643b1a1e79f66bc480e1addf33efbd19927ab0e1295fb469e38ab8dc4e52
2024-08-22T20:41:52.3700490Z   Stored in directory: /Users/ec2-user/Library/Caches/pip/wheels/8b/e8/3a/0a476b3ca77bd7e9d88e8ee96793fc8b83849d3ed8aabbd4ab
2024-08-22T20:41:52.3701080Z Successfully built torchao
2024-08-22T20:41:52.3701320Z Installing collected packages: torchao
2024-08-22T20:41:52.3701650Z Successfully installed torchao-0.4.0+gite11201a
2024-08-22T20:41:52.3701940Z + ls -la
2024-08-22T20:41:52.3702080Z total 352
2024-08-22T20:41:52.3702330Z drwxr-xr-x  42 ec2-user  staff   1344 Aug 22 20:40 .
2024-08-22T20:41:52.3702700Z drwxr-xr-x   3 ec2-user  staff     96 Aug 22 20:40 ..
2024-08-22T20:41:52.3703070Z drwxr-xr-x   3 ec2-user  staff     96 Aug 22 20:40 .ci
2024-08-22T20:41:52.3703500Z -rw-r--r--   1 ec2-user  staff   6768 Aug 22 20:40 .clang-format
2024-08-22T20:41:52.3703930Z -rw-r--r--   1 ec2-user  staff    893 Aug 22 20:40 .flake8
2024-08-22T20:41:52.3704410Z drwxr-xr-x  13 ec2-user  staff    416 Aug 22 20:40 .git
2024-08-22T20:41:52.3704800Z drwxr-xr-x   5 ec2-user  staff    160 Aug 22 20:40 .github
2024-08-22T20:41:52.3705210Z -rw-r--r--   1 ec2-user  staff    285 Aug 22 20:40 .gitignore
2024-08-22T20:41:52.3705640Z -rw-r--r--   1 ec2-user  staff    396 Aug 22 20:40 .gitmodules
2024-08-22T20:41:52.3706080Z -rw-r--r--   1 ec2-user  staff   1313 Aug 22 20:40 .lintrunner.toml
2024-08-22T20:41:52.3706510Z drwxr-xr-x   3 ec2-user  staff     96 Aug 22 20:40 .pins
2024-08-22T20:41:52.3706920Z -rw-r--r--   1 ec2-user  staff    543 Aug 22 20:40 CMakeLists.txt
2024-08-22T20:41:52.3707370Z -rw-r--r--   1 ec2-user  staff   3343 Aug 22 20:40 CODE_OF_CONDUCT.md
2024-08-22T20:41:52.3707820Z -rw-r--r--   1 ec2-user  staff   1248 Aug 22 20:40 CONTRIBUTING.md
2024-08-22T20:41:52.3708230Z -rw-r--r--   1 ec2-user  staff   1490 Aug 22 20:40 LICENSE
2024-08-22T20:41:52.3708630Z -rw-r--r--   1 ec2-user  staff  28025 Aug 22 20:40 README.md
2024-08-22T20:41:52.3709160Z drwxr-xr-x   4 ec2-user  staff    128 Aug 22 20:40 android
2024-08-22T20:41:52.3709560Z drwxr-xr-x   3 ec2-user  staff     96 Aug 22 20:40 api
2024-08-22T20:41:52.3709950Z drwxr-xr-x   3 ec2-user  staff     96 Aug 22 20:40 assets
2024-08-22T20:41:52.3710340Z drwxr-xr-x   3 ec2-user  staff     96 Aug 22 20:40 browser
2024-08-22T20:41:52.3710730Z drwxr-xr-x  12 ec2-user  staff    384 Aug 22 20:40 build
2024-08-22T20:41:52.3711120Z -rw-r--r--   1 ec2-user  staff  15605 Aug 22 20:40 cli.py
2024-08-22T20:41:52.3711510Z drwxr-xr-x   5 ec2-user  staff    160 Aug 22 20:40 config
2024-08-22T20:41:52.3711920Z -rw-r--r--   1 ec2-user  staff   1044 Aug 22 20:40 dist_run.py
2024-08-22T20:41:52.3712350Z drwxr-xr-x  14 ec2-user  staff    448 Aug 22 20:40 distributed
2024-08-22T20:41:52.3712760Z drwxr-xr-x  14 ec2-user  staff    448 Aug 22 20:40 docs
2024-08-22T20:41:52.3713150Z -rw-r--r--   1 ec2-user  staff   6848 Aug 22 20:40 download.py
2024-08-22T20:41:52.3713550Z -rw-r--r--   1 ec2-user  staff   9221 Aug 22 20:40 eval.py
2024-08-22T20:41:52.3713950Z -rw-r--r--   1 ec2-user  staff   5882 Aug 22 20:40 export.py
2024-08-22T20:41:52.3714380Z drwxr-xr-x   5 ec2-user  staff    160 Aug 22 20:40 export_util
2024-08-22T20:41:52.3714800Z -rw-r--r--   1 ec2-user  staff  35149 Aug 22 20:40 generate.py
2024-08-22T20:41:52.3715260Z -rwxr-xr-x   1 ec2-user  staff   2937 Aug 22 20:40 install_requirements.sh
2024-08-22T20:41:52.3715750Z drwxr-xr-x   4 ec2-user  staff    128 Aug 22 20:40 quantization
2024-08-22T20:41:52.3716250Z -rw-r--r--   1 ec2-user  staff    337 Aug 22 20:40 requirements-lintrunner.txt
2024-08-22T20:41:52.3716760Z -rw-r--r--   1 ec2-user  staff    368 Aug 22 20:40 requirements.txt
2024-08-22T20:41:52.3721270Z drwxr-xr-x   8 ec2-user  staff    256 Aug 22 20:40 runner
2024-08-22T20:41:52.3721720Z drwxr-xr-x  11 ec2-user  staff    352 Aug 22 20:40 scripts
2024-08-22T20:41:52.3722140Z -rw-r--r--   1 ec2-user  staff   4235 Aug 22 20:40 server.py
2024-08-22T20:41:52.3722550Z drwxr-xr-x  10 ec2-user  staff    320 Aug 22 20:40 tokenizer
2024-08-22T20:41:52.3722970Z drwxr-xr-x   3 ec2-user  staff     96 Aug 22 20:40 torchchat
2024-08-22T20:41:52.3723380Z -rw-r--r--   1 ec2-user  staff   3485 Aug 22 20:40 torchchat.py
2024-08-22T20:41:52.3723790Z drwxr-xr-x   5 ec2-user  staff    160 Aug 22 20:40 utils
2024-08-22T20:41:52.3724090Z + pwd
2024-08-22T20:41:52.3724380Z /Users/ec2-user/runner/_work/torchchat/torchchat/pytorch/torchchat
2024-08-22T20:41:52.3724720Z + pip3 list
2024-08-22T20:41:52.3724890Z Package                   Version
2024-08-22T20:41:52.3725150Z ------------------------- -----------------
2024-08-22T20:41:52.3725420Z absl-py                   2.1.0
2024-08-22T20:41:52.3725640Z accelerate                0.33.0
2024-08-22T20:41:52.3725870Z aiohappyeyeballs          2.4.0
2024-08-22T20:41:52.3726090Z aiohttp                   3.10.5
2024-08-22T20:41:52.3726310Z aiosignal                 1.3.1
2024-08-22T20:41:52.3726550Z altair                    5.4.0
2024-08-22T20:41:52.3726790Z anaconda-anon-usage       0.4.4
2024-08-22T20:41:52.3727120Z archspec                  0.2.3
2024-08-22T20:41:52.3727330Z attrs                     24.2.0
2024-08-22T20:41:52.3727550Z blinker                   1.8.2
2024-08-22T20:41:52.3727760Z blobfile                  2.1.1
2024-08-22T20:41:52.3727970Z boltons                   23.0.0
2024-08-22T20:41:52.3728190Z Brotli                    1.0.9
2024-08-22T20:41:52.3728400Z cachetools                5.5.0
2024-08-22T20:41:52.3728610Z certifi                   2024.7.4
2024-08-22T20:41:52.3728830Z cffi                      1.16.0
2024-08-22T20:41:52.3729050Z chardet                   5.2.0
2024-08-22T20:41:52.3729290Z charset-normalizer        2.0.4
2024-08-22T20:41:52.3729500Z click                     8.1.7
2024-08-22T20:41:52.3729710Z cmake                     3.30.2
2024-08-22T20:41:52.3729930Z colorama                  0.4.6
2024-08-22T20:41:52.3730150Z conda                     24.7.1
2024-08-22T20:41:52.3730400Z conda-content-trust       0.2.0
2024-08-22T20:41:52.3730650Z conda-libmamba-solver     24.1.0
2024-08-22T20:41:52.3731030Z conda-package-handling    2.3.0
2024-08-22T20:41:52.3731260Z conda_package_streaming   0.10.0
2024-08-22T20:41:52.3731490Z cryptography              42.0.5
2024-08-22T20:41:52.3731710Z DataProperty              1.0.1
2024-08-22T20:41:52.3731920Z datasets                  2.21.0
2024-08-22T20:41:52.3732140Z dill                      0.3.8
2024-08-22T20:41:52.3732340Z distro                    1.9.0
2024-08-22T20:41:52.3732560Z evaluate                  0.4.2
2024-08-22T20:41:52.3732770Z filelock                  3.15.4
2024-08-22T20:41:52.3732990Z Flask                     3.0.3
2024-08-22T20:41:52.3733210Z frozendict                2.4.2
2024-08-22T20:41:52.3733420Z frozenlist                1.4.1
2024-08-22T20:41:52.3733640Z fsspec                    2024.6.1
2024-08-22T20:41:52.3733870Z gguf                      0.9.1
2024-08-22T20:41:52.3734080Z gitdb                     4.0.11
2024-08-22T20:41:52.3734310Z GitPython                 3.1.43
2024-08-22T20:41:52.3734560Z huggingface-hub           0.24.6
2024-08-22T20:41:52.3734790Z idna                      3.7
2024-08-22T20:41:52.3735010Z itsdangerous              2.2.0
2024-08-22T20:41:52.3735230Z Jinja2                    3.1.4
2024-08-22T20:41:52.3735430Z joblib                    1.4.2
2024-08-22T20:41:52.3735640Z jsonlines                 4.0.0
2024-08-22T20:41:52.3735860Z jsonpatch                 1.33
2024-08-22T20:41:52.3736070Z jsonpointer               2.1
2024-08-22T20:41:52.3736290Z jsonschema                4.23.0
2024-08-22T20:41:52.3736560Z jsonschema-specifications 2023.12.1
2024-08-22T20:41:52.3736810Z libmambapy                1.5.8
2024-08-22T20:41:52.3737030Z lm_eval                   0.4.2
2024-08-22T20:41:52.3737250Z lxml                      4.9.4
2024-08-22T20:41:52.3737490Z markdown-it-py            3.0.0
2024-08-22T20:41:52.3737700Z MarkupSafe                2.1.5
2024-08-22T20:41:52.3737920Z mbstrdecoder              1.1.3
2024-08-22T20:41:52.3738130Z mdurl                     0.1.2
2024-08-22T20:41:52.3738350Z menuinst                  2.1.1
2024-08-22T20:41:52.3738600Z more-itertools            10.4.0
2024-08-22T20:41:52.3738820Z mpmath                    1.3.0
2024-08-22T20:41:52.3739040Z multidict                 6.0.5
2024-08-22T20:41:52.3739250Z multiprocess              0.70.16
2024-08-22T20:41:52.3739480Z narwhals                  1.5.2
2024-08-22T20:41:52.3739690Z networkx                  3.3
2024-08-22T20:41:52.3739900Z ninja                     1.11.1.1
2024-08-22T20:41:52.3740130Z nltk                      3.9.1
2024-08-22T20:41:52.3740340Z numexpr                   2.10.1
2024-08-22T20:41:52.3740570Z numpy                     1.26.4
2024-08-22T20:41:52.3740780Z packaging                 23.2
2024-08-22T20:41:52.3741000Z pandas                    2.2.2
2024-08-22T20:41:52.3741210Z pathvalidate              3.2.0
2024-08-22T20:41:52.3741420Z peft                      0.12.0
2024-08-22T20:41:52.3741640Z pillow                    10.4.0
2024-08-22T20:41:52.3741850Z pip                       24.0
2024-08-22T20:41:52.3742140Z platformdirs              3.10.0
2024-08-22T20:41:52.3742360Z pluggy                    1.0.0
2024-08-22T20:41:52.3745970Z portalocker               2.10.1
2024-08-22T20:41:52.3746210Z protobuf                  5.27.3
2024-08-22T20:41:52.3746420Z psutil                    6.0.0
2024-08-22T20:41:52.3746630Z pyarrow                   17.0.0
2024-08-22T20:41:52.3746840Z pybind11                  2.13.5
2024-08-22T20:41:52.3747050Z pycosat                   0.6.6
2024-08-22T20:41:52.3747270Z pycparser                 2.21
2024-08-22T20:41:52.3747490Z pycryptodomex             3.20.0
2024-08-22T20:41:52.3747700Z pydeck                    0.9.1
2024-08-22T20:41:52.3747920Z Pygments                  2.18.0
2024-08-22T20:41:52.3748130Z PySocks                   1.7.1
2024-08-22T20:41:52.3748360Z pytablewriter             1.2.0
2024-08-22T20:41:52.3748630Z python-dateutil           2.9.0.post0
2024-08-22T20:41:52.3748880Z pytz                      2024.1
2024-08-22T20:41:52.3749220Z PyYAML                    6.0.2
2024-08-22T20:41:52.3749450Z referencing               0.35.1
2024-08-22T20:41:52.3749670Z regex                     2024.7.24
2024-08-22T20:41:52.3749890Z requests                  2.32.2
2024-08-22T20:41:52.3750110Z rich                      13.7.1
2024-08-22T20:41:52.3750320Z rouge_score               0.1.2
2024-08-22T20:41:52.3750560Z rpds-py                   0.20.0
2024-08-22T20:41:52.3750770Z ruamel.yaml               0.17.21
2024-08-22T20:41:52.3751000Z sacrebleu                 2.4.3
2024-08-22T20:41:52.3751210Z safetensors               0.4.4
2024-08-22T20:41:52.3751460Z scikit-learn              1.5.1
2024-08-22T20:41:52.3751680Z scipy                     1.14.1
2024-08-22T20:41:52.3751900Z sentencepiece             0.2.0
2024-08-22T20:41:52.3752120Z setuptools                69.5.1
2024-08-22T20:41:52.3752340Z six                       1.16.0
2024-08-22T20:41:52.3752560Z smmap                     5.0.1
2024-08-22T20:41:52.3752770Z snakeviz                  2.2.0
2024-08-22T20:41:52.3752980Z sqlitedict                2.1.0
2024-08-22T20:41:52.3753200Z streamlit                 1.37.1
2024-08-22T20:41:52.3753420Z sympy                     1.13.1
2024-08-22T20:41:52.3753640Z tabledata                 1.3.3
2024-08-22T20:41:52.3753850Z tabulate                  0.9.0
2024-08-22T20:41:52.3754060Z tcolorpy                  0.1.6
2024-08-22T20:41:52.3754270Z tenacity                  8.5.0
2024-08-22T20:41:52.3754480Z threadpoolctl             3.5.0
2024-08-22T20:41:52.3754700Z tiktoken                  0.7.0
2024-08-22T20:41:52.3754910Z tokenizers                0.19.1
2024-08-22T20:41:52.3755120Z toml                      0.10.2
2024-08-22T20:41:52.3755360Z torch                     2.5.0.dev20240814
2024-08-22T20:41:52.3755640Z torchao                   0.4.0+gite11201a
2024-08-22T20:41:52.3755890Z tornado                   6.4.1
2024-08-22T20:41:52.3756110Z tqdm                      4.66.4
2024-08-22T20:41:52.3756360Z tqdm-multiprocess         0.0.11
2024-08-22T20:41:52.3756580Z transformers              4.44.2
2024-08-22T20:41:52.3756800Z truststore                0.8.0
2024-08-22T20:41:52.3757020Z typepy                    1.3.2
2024-08-22T20:41:52.3757250Z typing_extensions         4.12.2
2024-08-22T20:41:52.3757470Z tzdata                    2024.1
2024-08-22T20:41:52.3757690Z urllib3                   2.2.2
2024-08-22T20:41:52.3757930Z Werkzeug                  3.0.4
2024-08-22T20:41:52.3758140Z wheel                     0.43.0
2024-08-22T20:41:52.3758360Z word2number               1.1
2024-08-22T20:41:52.3758570Z xxhash                    3.5.0
2024-08-22T20:41:52.3758780Z yarl                      1.9.4
2024-08-22T20:41:52.3758990Z zstandard                 0.22.0
2024-08-22T20:41:52.3759200Z zstd                      1.5.5.1
2024-08-22T20:41:52.3759640Z + python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
2024-08-22T20:41:52.3760210Z torch: ('2.5.0.dev20240814', '3a023a67c47bcde45538c9991e332d21ac548e46')
2024-08-22T20:41:52.3760610Z + echo ::endgroup::
2024-08-22T20:41:52.3761320Z ##[endgroup]
2024-08-22T20:42:01.3360560Z + echo '::group::Download checkpoints'
2024-08-22T20:42:01.3361130Z ##[group]Download checkpoints
2024-08-22T20:42:01.3361490Z + mkdir -p checkpoints/stories15M
2024-08-22T20:42:01.3361750Z + pushd checkpoints/stories15M
2024-08-22T20:42:01.3362370Z ~/runner/_work/torchchat/torchchat/pytorch/torchchat/checkpoints/stories15M ~/runner/_work/torchchat/torchchat/pytorch/torchchat
2024-08-22T20:42:01.3363230Z + curl -fsSL -O https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt
2024-08-22T20:42:01.3363860Z + curl -fsSL -O https://github.com/karpathy/llama2.c/raw/master/tokenizer.model
2024-08-22T20:42:01.3364260Z + popd
2024-08-22T20:42:01.3370290Z ~/runner/_work/torchchat/torchchat/pytorch/torchchat
2024-08-22T20:42:01.3370620Z + echo ::endgroup::
2024-08-22T20:42:01.3370960Z ##[endgroup]
2024-08-22T20:42:01.3371200Z + echo '::group::Run inference'
2024-08-22T20:42:01.3371560Z ##[group]Run inference
2024-08-22T20:42:01.3372160Z + export MODEL_PATH=checkpoints/stories15M/stories15M.pt
2024-08-22T20:42:01.3372530Z + MODEL_PATH=checkpoints/stories15M/stories15M.pt
2024-08-22T20:42:01.3372820Z + export MODEL_NAME=stories15M
2024-08-22T20:42:01.3373040Z + MODEL_NAME=stories15M
2024-08-22T20:42:01.3373240Z + export MODEL_DIR=/tmp
2024-08-22T20:42:01.3373440Z + MODEL_DIR=/tmp
2024-08-22T20:42:01.3373960Z + python3 torchchat.py generate --device mps --checkpoint-path checkpoints/stories15M/stories15M.pt --temperature 0
2024-08-22T20:42:01.3374480Z NumExpr defaulting to 8 threads.
2024-08-22T20:42:01.3374750Z PyTorch version 2.5.0.dev20240814 available.
2024-08-22T20:42:01.3375210Z Warning: compilation is not available with device MPS, ignoring option to engage compilation
2024-08-22T20:42:01.3375640Z Using device=mps 
2024-08-22T20:42:01.3375820Z Loading model...
2024-08-22T20:42:01.3376010Z Time to load model: 0.20 seconds
2024-08-22T20:42:01.3376310Z -----------------------------------------------------------
2024-08-22T20:42:01.3377100Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:42:01.3378450Z Daisy sees a big slide. She wants to go on it. Daisy's mommy says, "Yes, you can go on the slide." Daisy runs to the slide. She climbs up the steps. She sits on the slide and slides down. She laughs and says, "Whee!"
2024-08-22T20:42:01.3380020Z Daisy goes on the slide again and again. She has so much fun. She sees her mommy and daddy. They are happy to see her. They say, "Good job, Daisy!" Daisy is happy too. She loves to play at the park. Once upon a time, there was a little girl named Lily. She loved to
2024-08-22T20:42:01.3381340Z Time for inference 1: 3.15 sec total, time to first token 0.46 sec with parallel prefill, 199 tokens, 63.20 tokens/sec, 15.82 ms/token
2024-08-22T20:42:01.3381890Z Bandwidth achieved: 3.09 GB/s
2024-08-22T20:42:01.3382310Z *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:42:01.3382680Z 
2024-08-22T20:42:01.3382760Z ========================================
2024-08-22T20:42:01.3382930Z 
2024-08-22T20:42:01.3383000Z Average tokens/sec: 63.20
2024-08-22T20:42:01.3383210Z Memory used: 0.00 GB
2024-08-22T20:42:01.3383500Z + echo '************************************************************'
2024-08-22T20:42:01.3383810Z ************************************************************
2024-08-22T20:42:01.3384090Z + echo '*** embedding'
2024-08-22T20:42:01.3384280Z *** embedding
2024-08-22T20:42:01.3384530Z + echo '************************************************************'
2024-08-22T20:42:01.3384850Z ************************************************************
2024-08-22T20:42:01.3385610Z + python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path checkpoints/stories15M/stories15M.pt --temperature 0
2024-08-22T20:42:01.3386270Z NumExpr defaulting to 8 threads.
2024-08-22T20:42:01.3386740Z PyTorch version 2.5.0.dev20240814 available.
2024-08-22T20:42:01.3387220Z Warning: compilation is not available with device MPS, ignoring option to engage compilation
2024-08-22T20:42:01.3387660Z Using device=mps 
2024-08-22T20:42:01.3387840Z Loading model...
2024-08-22T20:42:01.3388030Z Time to load model: 0.15 seconds
2024-08-22T20:42:01.3388430Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:42:01.3388810Z Time to quantize model: 0.15 seconds
2024-08-22T20:42:01.3389110Z -----------------------------------------------------------
2024-08-22T20:42:01.3389920Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:42:01.3391120Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and shouts. She feels the wind in her hair.
2024-08-22T20:42:01.3392640Z Daisy sees a boy. He is playing with a ball. He is throwing the ball to Daisy. Daisy runs to the ball and catches it. She throws it back to the boy. He catches it and throws it back. They play together.
2024-08-22T20:42:01.3393730Z Daisy and the boy have fun. They laugh and shout. They are happy. Daisy is popular. She is her friend. Once upon a time, there was
2024-08-22T20:42:01.3394570Z Time for inference 1: 2.70 sec total, time to first token 0.22 sec with parallel prefill, 199 tokens, 73.79 tokens/sec, 13.55 ms/token
2024-08-22T20:42:01.3395110Z Bandwidth achieved: 2.93 GB/s
2024-08-22T20:42:01.3395520Z *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:42:01.3395870Z 
2024-08-22T20:42:01.3395940Z ========================================
2024-08-22T20:42:01.3396110Z 
2024-08-22T20:42:01.3396180Z Average tokens/sec: 73.79
2024-08-22T20:42:01.3396380Z Memory used: 0.00 GB
2024-08-22T20:42:01.3397050Z + python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path checkpoints/stories15M/stories15M.pt --temperature 0
2024-08-22T20:42:01.3397710Z NumExpr defaulting to 8 threads.
2024-08-22T20:42:01.3397960Z PyTorch version 2.5.0.dev20240814 available.
2024-08-22T20:42:01.3398400Z Warning: compilation is not available with device MPS, ignoring option to engage compilation
2024-08-22T20:42:01.3398820Z Using device=mps 
2024-08-22T20:42:01.3398990Z Loading model...
2024-08-22T20:42:01.3399170Z Time to load model: 0.15 seconds
2024-08-22T20:42:01.3399550Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:42:01.3399910Z Time to quantize model: 0.09 seconds
2024-08-22T20:42:01.3400210Z -----------------------------------------------------------
2024-08-22T20:42:01.3400950Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:42:01.3402230Z Daisy sees a big slide. She wants to go on it. Daisy's mommy says, "Yes, you can go on the slide." Daisy runs to the slide. She climbs up the steps. She sits on the slide and slides down. She laughs and says, "Whee!"
2024-08-22T20:42:01.3403720Z Daisy slides down the slide again and again. She has so much fun. She sees her mommy and daddy. They are happy to see her. They hug her and say, "We love you, Daisy!" Daisy hugs them back and says, "I love you too!" They all go home and have a nice dinner. Once
2024-08-22T20:42:01.3404950Z Time for inference 1: 2.60 sec total, time to first token 0.19 sec with parallel prefill, 199 tokens, 76.43 tokens/sec, 13.08 ms/token
2024-08-22T20:42:01.3405480Z Bandwidth achieved: 3.20 GB/s
2024-08-22T20:42:01.3405880Z *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:42:01.3406230Z 
2024-08-22T20:42:01.3406300Z ========================================
2024-08-22T20:42:01.3406470Z 
2024-08-22T20:42:01.3406620Z Average tokens/sec: 76.43
2024-08-22T20:42:01.3406820Z Memory used: 0.00 GB
2024-08-22T20:42:01.3407090Z + echo '************************************************************'
2024-08-22T20:42:01.3407400Z ************************************************************
2024-08-22T20:42:01.3407670Z + echo '*** linear int8'
2024-08-22T20:42:01.3407860Z *** linear int8
2024-08-22T20:42:01.3408110Z + echo '************************************************************'
2024-08-22T20:42:01.3408410Z ************************************************************
2024-08-22T20:42:01.3409140Z + python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path checkpoints/stories15M/stories15M.pt --temperature 0
2024-08-22T20:42:01.3409780Z NumExpr defaulting to 8 threads.
2024-08-22T20:42:01.3410030Z PyTorch version 2.5.0.dev20240814 available.
2024-08-22T20:42:01.3410470Z Warning: compilation is not available with device MPS, ignoring option to engage compilation
2024-08-22T20:42:01.3411000Z Using device=mps 
2024-08-22T20:42:01.3411180Z Loading model...
2024-08-22T20:42:01.3415510Z Time to load model: 0.14 seconds
2024-08-22T20:42:01.3415910Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:42:01.3416280Z Time to quantize model: 0.18 seconds
2024-08-22T20:42:01.3416570Z -----------------------------------------------------------
2024-08-22T20:42:01.3417310Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:42:01.3418530Z Daisy sees a big slide. She wants to go on it. Daisy's mommy says, "Yes, you can go on the slide." Daisy runs to the slide. She climbs up the steps. She sits on the slide. She slides down. She laughs.
2024-08-22T20:42:01.3419900Z Daisy sees a boy. He is playing with a ball. He throws the ball to Daisy. Daisy runs to the ball. She picks it up. She throws it back to the boy. The boy catches the ball. He throws it back to Daisy. They play together. They have fun.
2024-08-22T20:42:01.3420810Z Daisy and the boy are friends. They like to play at
2024-08-22T20:42:01.3421400Z Time for inference 1: 2.43 sec total, time to first token 0.24 sec with parallel prefill, 199 tokens, 82.05 tokens/sec, 12.19 ms/token
2024-08-22T20:42:01.3421930Z Bandwidth achieved: 2.77 GB/s
2024-08-22T20:42:01.3422330Z *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:42:01.3422680Z 
2024-08-22T20:42:01.3422750Z ========================================
2024-08-22T20:42:01.3422920Z 
2024-08-22T20:42:01.3422990Z Average tokens/sec: 82.05
2024-08-22T20:42:01.3423180Z Memory used: 0.00 GB
2024-08-22T20:42:01.3423840Z + python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path checkpoints/stories15M/stories15M.pt --temperature 0
2024-08-22T20:42:01.3424470Z NumExpr defaulting to 8 threads.
2024-08-22T20:42:01.3424720Z PyTorch version 2.5.0.dev20240814 available.
2024-08-22T20:42:01.3425160Z Warning: compilation is not available with device MPS, ignoring option to engage compilation
2024-08-22T20:42:01.3425560Z Using device=mps 
2024-08-22T20:42:01.3425730Z Loading model...
2024-08-22T20:42:01.3425910Z Time to load model: 0.14 seconds
2024-08-22T20:42:01.3426280Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:42:01.3426650Z Time to quantize model: 0.18 seconds
2024-08-22T20:42:01.3426940Z -----------------------------------------------------------
2024-08-22T20:42:01.3427410Z Hello, my name is Daisy. Daisy is very popular. Everyone likes Daisy. She is very friendly and kind.
2024-08-22T20:42:01.3428610Z One day, Daisy's mommy says, "Daisy, it's time to go to the park." Daisy says, "No, I don't want to go. I want to stay here and play." Daisy's mommy says, "But Daisy, it's time to go. You can play later." Daisy says, "No, I don't want to go. I want to stay here."
2024-08-22T20:42:01.3430120Z Daisy's mommy says, "If you don't go, you will be in trouble. You will be punished." Daisy does not want to be punished, so she says, "Okay, I will go." Daisy's mommy takes her to the park.
2024-08-22T20:42:01.3430810Z At the park, D
2024-08-22T20:42:01.3431290Z Time for inference 1: 3.26 sec total, time to first token 0.19 sec with parallel prefill, 199 tokens, 60.98 tokens/sec, 16.40 ms/token
2024-08-22T20:42:01.3431820Z Bandwidth achieved: 2.28 GB/s
2024-08-22T20:42:01.3432220Z *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:42:01.3432570Z 
2024-08-22T20:42:01.3432640Z ========================================
2024-08-22T20:42:01.3432800Z 
2024-08-22T20:42:01.3432870Z Average tokens/sec: 60.98
2024-08-22T20:42:01.3433060Z Memory used: 0.00 GB
2024-08-22T20:42:01.3433320Z + echo '************************************************************'
2024-08-22T20:42:01.3433750Z ************************************************************
2024-08-22T20:42:01.3434040Z + echo '*** linear int4'
2024-08-22T20:42:01.3434220Z *** linear int4
2024-08-22T20:42:01.3434470Z + echo '************************************************************'
2024-08-22T20:42:01.3434770Z ************************************************************
2024-08-22T20:42:01.3435030Z + PYTORCH_ENABLE_MPS_FALLBACK=1
2024-08-22T20:42:01.3435690Z + python3 torchchat.py generate --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path checkpoints/stories15M/stories15M.pt --temperature 0
2024-08-22T20:42:01.3436300Z NumExpr defaulting to 8 threads.
2024-08-22T20:42:01.3436550Z PyTorch version 2.5.0.dev20240814 available.
2024-08-22T20:42:01.3436840Z linear: layers.0.attention.wq, in=288, out=288
2024-08-22T20:42:01.3437230Z warning: layers.0.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3437630Z linear: layers.0.attention.wk, in=288, out=288
2024-08-22T20:42:01.3438020Z warning: layers.0.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3438410Z linear: layers.0.attention.wv, in=288, out=288
2024-08-22T20:42:01.3438800Z warning: layers.0.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3439180Z linear: layers.0.attention.wo, in=288, out=288
2024-08-22T20:42:01.3439570Z warning: layers.0.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3439960Z linear: layers.0.feed_forward.w1, in=288, out=768
2024-08-22T20:42:01.3440360Z warning: layers.0.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3440760Z linear: layers.0.feed_forward.w2, in=768, out=288
2024-08-22T20:42:01.3441060Z linear: layers.0.feed_forward.w3, in=288, out=768
2024-08-22T20:42:01.3441450Z warning: layers.0.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3441850Z linear: layers.1.attention.wq, in=288, out=288
2024-08-22T20:42:01.3442230Z warning: layers.1.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3442620Z linear: layers.1.attention.wk, in=288, out=288
2024-08-22T20:42:01.3443000Z warning: layers.1.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3443390Z linear: layers.1.attention.wv, in=288, out=288
2024-08-22T20:42:01.3443770Z warning: layers.1.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3444150Z linear: layers.1.attention.wo, in=288, out=288
2024-08-22T20:42:01.3444530Z warning: layers.1.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3444920Z linear: layers.1.feed_forward.w1, in=288, out=768
2024-08-22T20:42:01.3445310Z warning: layers.1.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3445710Z linear: layers.1.feed_forward.w2, in=768, out=288
2024-08-22T20:42:01.3446010Z linear: layers.1.feed_forward.w3, in=288, out=768
2024-08-22T20:42:01.3446400Z warning: layers.1.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3447390Z linear: layers.2.attention.wq, in=288, out=288
2024-08-22T20:42:01.3447770Z warning: layers.2.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3448160Z linear: layers.2.attention.wk, in=288, out=288
2024-08-22T20:42:01.3448540Z warning: layers.2.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3448920Z linear: layers.2.attention.wv, in=288, out=288
2024-08-22T20:42:01.3449300Z warning: layers.2.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3449680Z linear: layers.2.attention.wo, in=288, out=288
2024-08-22T20:42:01.3450060Z warning: layers.2.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3450450Z linear: layers.2.feed_forward.w1, in=288, out=768
2024-08-22T20:42:01.3450840Z warning: layers.2.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3451240Z linear: layers.2.feed_forward.w2, in=768, out=288
2024-08-22T20:42:01.3451650Z linear: layers.2.feed_forward.w3, in=288, out=768
2024-08-22T20:42:01.3452050Z warning: layers.2.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3452440Z linear: layers.3.attention.wq, in=288, out=288
2024-08-22T20:42:01.3452820Z warning: layers.3.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3453200Z linear: layers.3.attention.wk, in=288, out=288
2024-08-22T20:42:01.3453580Z warning: layers.3.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3459450Z linear: layers.3.attention.wv, in=288, out=288
2024-08-22T20:42:01.3459840Z warning: layers.3.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3460220Z linear: layers.3.attention.wo, in=288, out=288
2024-08-22T20:42:01.3460600Z warning: layers.3.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3460990Z linear: layers.3.feed_forward.w1, in=288, out=768
2024-08-22T20:42:01.3461390Z warning: layers.3.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3461790Z linear: layers.3.feed_forward.w2, in=768, out=288
2024-08-22T20:42:01.3462090Z linear: layers.3.feed_forward.w3, in=288, out=768
2024-08-22T20:42:01.3462480Z warning: layers.3.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3462870Z linear: layers.4.attention.wq, in=288, out=288
2024-08-22T20:42:01.3463250Z warning: layers.4.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3463650Z linear: layers.4.attention.wk, in=288, out=288
2024-08-22T20:42:01.3464060Z warning: layers.4.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3464450Z linear: layers.4.attention.wv, in=288, out=288
2024-08-22T20:42:01.3464830Z warning: layers.4.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3465210Z linear: layers.4.attention.wo, in=288, out=288
2024-08-22T20:42:01.3465590Z warning: layers.4.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3465980Z linear: layers.4.feed_forward.w1, in=288, out=768
2024-08-22T20:42:01.3466380Z warning: layers.4.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3466770Z linear: layers.4.feed_forward.w2, in=768, out=288
2024-08-22T20:42:01.3467070Z linear: layers.4.feed_forward.w3, in=288, out=768
2024-08-22T20:42:01.3467480Z warning: layers.4.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3467860Z linear: layers.5.attention.wq, in=288, out=288
2024-08-22T20:42:01.3468240Z warning: layers.5.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3468620Z linear: layers.5.attention.wk, in=288, out=288
2024-08-22T20:42:01.3469000Z warning: layers.5.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3469390Z linear: layers.5.attention.wv, in=288, out=288
2024-08-22T20:42:01.3469760Z warning: layers.5.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3470150Z linear: layers.5.attention.wo, in=288, out=288
2024-08-22T20:42:01.3470590Z warning: layers.5.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3470980Z linear: layers.5.feed_forward.w1, in=288, out=768
2024-08-22T20:42:01.3471370Z warning: layers.5.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3471770Z linear: layers.5.feed_forward.w2, in=768, out=288
2024-08-22T20:42:01.3472070Z linear: layers.5.feed_forward.w3, in=288, out=768
2024-08-22T20:42:01.3472460Z warning: layers.5.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3472820Z linear: output, in=288, out=32000
2024-08-22T20:42:01.3473120Z warning: output is padded to satisfy in_features % 1024 == 0
2024-08-22T20:42:01.3473610Z Warning: compilation is not available with device MPS, ignoring option to engage compilation
2024-08-22T20:42:01.3474020Z Using device=mps 
2024-08-22T20:42:01.3474190Z Loading model...
2024-08-22T20:42:01.3474370Z Time to load model: 0.14 seconds
2024-08-22T20:42:01.3474980Z Quantizing the model with: {'linear:int4': {'groupsize': 32}}
2024-08-22T20:42:01.3475310Z Time to quantize model: 0.45 seconds
2024-08-22T20:42:01.3475610Z -----------------------------------------------------------
2024-08-22T20:42:01.3476370Z Hello, my name is Gus. He has a big, red ball. Gus loves to play with his ball. One day, Gus's ball goes into the woods. He looks for it, but he cannot find it. He feels sad.
2024-08-22T20:42:01.3477500Z He sees a squirrel and says, "Have you seen my ball?" The squirrel says, "Yes, I saw it. It is in the tree." Gus climbs the tree and sees his ball. He is happy. He says, "Thank you, squirrel!"
2024-08-22T20:42:01.3478780Z Gus takes his ball and runs back to his house. He sees his mom in the kitchen. He says, "Mom, I found my ball in the kitchen. It is in the yard. Can I play with it?" Mom says, "Yes, but be careful. The yard is not safe."
2024-08-22T20:42:01.3479710Z Gus plays with his ball in the yard. He throws it high and catches it. He has fun
2024-08-22T20:42:01.3480400Z Time for inference 1: 2.60 sec total, time to first token 0.17 sec with parallel prefill, 199 tokens, 76.48 tokens/sec, 13.08 ms/token
2024-08-22T20:42:01.3480930Z Bandwidth achieved: 3.83 GB/s
2024-08-22T20:42:01.3481330Z *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:42:01.3481680Z 
2024-08-22T20:42:01.3481750Z ========================================
2024-08-22T20:42:01.3481920Z 
2024-08-22T20:42:01.3481980Z Average tokens/sec: 76.48
2024-08-22T20:42:01.3482180Z Memory used: 0.00 GB
2024-08-22T20:42:01.3524480Z ##[group]Run pmeier/pytest-results-action@v0.3.0
2024-08-22T20:42:01.3524760Z with:
2024-08-22T20:42:01.3524970Z   path: /Users/ec2-user/runner/_work/_temp/test-results
2024-08-22T20:42:01.3525250Z   fail-on-empty: false
2024-08-22T20:42:01.3525430Z env:
2024-08-22T20:42:01.3525580Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:42:01.3532040Z   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

python3 torchchat.py generate --device mps --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** embedding"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int8"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int4"
echo "************************************************************"

PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0

2024-08-22T20:42:01.3539340Z   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
2024-08-22T20:42:01.3540280Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2024-08-22T20:42:01.3540720Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:42:01.3541210Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:42:01.3541960Z   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
2024-08-22T20:42:01.3542980Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:42:01.3543680Z   RUNNER_ARTIFACT_DIR: /Users/ec2-user/runner/_work/_temp/artifacts
2024-08-22T20:42:01.3544100Z   RUNNER_TEST_RESULTS_DIR: /Users/ec2-user/runner/_work/_temp/test-results
2024-08-22T20:42:01.3544420Z ##[endgroup]
2024-08-22T20:42:01.4470700Z Prepare all required actions
2024-08-22T20:42:01.4519710Z ##[group]Run ./test-infra/.github/actions/check-disk-space
2024-08-22T20:42:01.4520020Z with:
2024-08-22T20:42:01.4520200Z   minimum-available-space-in-gb: 6
2024-08-22T20:42:01.4520430Z env:
2024-08-22T20:42:01.4520590Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:42:01.4527050Z   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

python3 torchchat.py generate --device mps --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** embedding"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int8"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int4"
echo "************************************************************"

PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0

2024-08-22T20:42:01.4534400Z   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
2024-08-22T20:42:01.4535350Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2024-08-22T20:42:01.4535800Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:42:01.4536290Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:42:01.4537050Z   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
2024-08-22T20:42:01.4538060Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:42:01.4538760Z   RUNNER_ARTIFACT_DIR: /Users/ec2-user/runner/_work/_temp/artifacts
2024-08-22T20:42:01.4539190Z   RUNNER_TEST_RESULTS_DIR: /Users/ec2-user/runner/_work/_temp/test-results
2024-08-22T20:42:01.4539520Z ##[endgroup]
2024-08-22T20:42:01.4559400Z ##[group]Run echo "Print the available disk space for manual inspection"
2024-08-22T20:42:01.4560230Z echo "Print the available disk space for manual inspection"
2024-08-22T20:42:01.4560570Z df -h
2024-08-22T20:42:01.4560730Z 
2024-08-22T20:42:01.4560910Z function check_disk_space() {
2024-08-22T20:42:01.4561140Z   set +e
2024-08-22T20:42:01.4561310Z 
2024-08-22T20:42:01.4561520Z   # Set the minimum requirement space to 6GB
2024-08-22T20:42:01.4561960Z   MINIMUM_AVAILABLE_SPACE_IN_KB=$(($MINIMUM_AVAILABLE_SPACE_IN_GB * 1024 * 1024))
2024-08-22T20:42:01.4562340Z 
2024-08-22T20:42:01.4562580Z   # Use KB to avoid floating point warning like 3.1GB
2024-08-22T20:42:01.4562990Z   df -k | tr -s ' ' | cut -d' ' -f 4,9 | while read -r LINE;
2024-08-22T20:42:01.4563300Z   do
2024-08-22T20:42:01.4563510Z     AVAIL=$(echo $LINE | cut -f1 -d' ')
2024-08-22T20:42:01.4563810Z     MOUNT=$(echo $LINE | cut -f2 -d' ')
2024-08-22T20:42:01.4564060Z 
2024-08-22T20:42:01.4564240Z     if [ "${MOUNT}" = "/" ]; then
2024-08-22T20:42:01.4564590Z       if [ "${AVAIL}" -lt "${MINIMUM_AVAILABLE_SPACE_IN_KB}" ]; then
2024-08-22T20:42:01.4565380Z         echo "Failure: There is only ${AVAIL}KB free space left in ${MOUNT}, which is less than the minimum requirement of ${MINIMUM_AVAILABLE_SPACE_IN_KB}KB for ${RUNNER_OS}"
2024-08-22T20:42:01.4566050Z       else
2024-08-22T20:42:01.4566420Z         echo "Success: There is ${AVAIL}KB free space left in ${MOUNT} for ${RUNNER_OS}, continue"
2024-08-22T20:42:01.4566850Z       fi
2024-08-22T20:42:01.4567100Z     fi
2024-08-22T20:42:01.4567260Z   done
2024-08-22T20:42:01.4567420Z 
2024-08-22T20:42:01.4567570Z   set -e
2024-08-22T20:42:01.4567730Z }
2024-08-22T20:42:01.4567910Z 
2024-08-22T20:42:01.4568080Z RESULT=$(check_disk_space)
2024-08-22T20:42:01.4568330Z echo "${RESULT}"
2024-08-22T20:42:01.4568550Z 
2024-08-22T20:42:01.4568810Z if [[ "${RESULT}" == *Failure* && "${RUNNER_OS}" == "macOS" ]]; then
2024-08-22T20:42:01.4569520Z   # We can clean up /System/Library/Caches/com.apple.coresymbolicationd on MacOS to free up the space and this should free up enough space
2024-08-22T20:42:01.4570190Z   # https://github.com/pytorch/pytorch/issues/85440
2024-08-22T20:42:01.4570660Z   sudo rm "/System/Library/Caches/com.apple.coresymbolicationd/data" || true
2024-08-22T20:42:01.4571370Z   # Stop the daemon and launchctl will automatically start it again, thus accomplish a restart and free up the above file
2024-08-22T20:42:01.4572020Z   sudo launchctl stop com.apple.coresymbolicationd || true
2024-08-22T20:42:01.4572350Z 
2024-08-22T20:42:01.4572550Z   # Clean up crash reports on the runner
2024-08-22T20:42:01.4572990Z   sudo rm -rf "/System/Volumes/Data/Library/Logs/CrashReporter" || true
2024-08-22T20:42:01.4573370Z 
2024-08-22T20:42:01.4573610Z   # Also try to clean up torch.hub caching directory
2024-08-22T20:42:01.4573970Z   rm -rf "${HOME}/.cache/torch/hub" || true
2024-08-22T20:42:01.4574230Z 
2024-08-22T20:42:01.4574390Z   # Purge conda
2024-08-22T20:42:01.4574600Z   conda clean -p -t -y || true
2024-08-22T20:42:01.4574850Z   # and pip cache
2024-08-22T20:42:01.4575070Z   pip cache purge || true
2024-08-22T20:42:01.4575290Z 
2024-08-22T20:42:01.4575570Z   echo "Re-run disk space check for ${RUNNER_OS} after cleaning up"
2024-08-22T20:42:01.4575940Z   # Re-run the check
2024-08-22T20:42:01.4576160Z   RESULT=$(check_disk_space)
2024-08-22T20:42:01.4576400Z   echo "${RESULT}"
2024-08-22T20:42:01.4576590Z fi
2024-08-22T20:42:01.4576740Z 
2024-08-22T20:42:01.4576930Z if [[ "${RESULT}" == *Failure* ]]; then
2024-08-22T20:42:01.4577300Z   df -h
2024-08-22T20:42:01.4577460Z 
2024-08-22T20:42:01.4578040Z   echo "Please help create an issue to PyTorch Release Engineering via https://github.com/pytorch/test-infra/issues and provide the link to the workflow run."
2024-08-22T20:42:01.4578690Z   exit 1
2024-08-22T20:42:01.4578850Z fi
2024-08-22T20:42:01.4791880Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:42:01.4801280Z env:
2024-08-22T20:42:01.4801470Z   REPOSITORY: pytorch/torchchat
2024-08-22T20:42:01.4808310Z   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

python3 torchchat.py generate --device mps --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** embedding"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int8"
echo "************************************************************"

python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0
python3 torchchat.py generate --device mps --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0

echo "************************************************************"
echo "*** linear int4"
echo "************************************************************"

PYTORCH_ENABLE_MPS_FALLBACK=1 python3 torchchat.py generate --device mps --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0

2024-08-22T20:42:01.4815680Z   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
2024-08-22T20:42:01.4816660Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2024-08-22T20:42:01.4817110Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:42:01.4817600Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:42:01.4818370Z   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
2024-08-22T20:42:01.4819390Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_10515112133
2024-08-22T20:42:01.4820110Z   RUNNER_ARTIFACT_DIR: /Users/ec2-user/runner/_work/_temp/artifacts
2024-08-22T20:42:01.4820540Z   RUNNER_TEST_RESULTS_DIR: /Users/ec2-user/runner/_work/_temp/test-results
2024-08-22T20:42:01.4821080Z   MINIMUM_AVAILABLE_SPACE_IN_GB: 6
2024-08-22T20:42:01.4821310Z ##[endgroup]
2024-08-22T20:42:01.5207320Z Print the available disk space for manual inspection
2024-08-22T20:42:01.5223920Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2024-08-22T20:42:01.5224450Z /dev/disk5s2s1   256Gi   9.5Gi   184Gi     5%    404k  1.9G    0%   /
2024-08-22T20:42:01.5224920Z devfs            217Ki   217Ki     0Bi   100%     752     0  100%   /dev
2024-08-22T20:42:01.5225410Z /dev/disk5s5     256Gi   2.0Gi   184Gi     2%       2  1.9G    0%   /System/Volumes/VM
2024-08-22T20:42:01.5226010Z /dev/disk5s3     256Gi   5.7Gi   184Gi     3%     997  1.9G    0%   /System/Volumes/Preboot
2024-08-22T20:42:01.5226590Z /dev/disk1s2     500Mi   6.0Mi   387Mi     2%       1  4.0M    0%   /System/Volumes/xarts
2024-08-22T20:42:01.5227150Z /dev/disk1s1     500Mi    54Mi   387Mi    13%      53  4.0M    0%   /System/Volumes/iSCPreboot
2024-08-22T20:42:01.5227770Z /dev/disk1s3     500Mi   636Ki   387Mi     1%      51  4.0M    0%   /System/Volumes/Hardware
2024-08-22T20:42:01.5228320Z /dev/disk5s1     256Gi    53Gi   184Gi    23%    4.2M  1.9G    0%   /System/Volumes/Data
2024-08-22T20:42:01.5229170Z /dev/disk3s4     228Gi   108Ki   212Gi     1%      17  2.2G    0%   /private/tmp/tmp-mount-56iMnP
2024-08-22T20:42:01.5229840Z map auto_home      0Bi     0Bi     0Bi   100%       0     0     -   /System/Volumes/Data/home
2024-08-22T20:42:01.5610680Z Success: There is 193242536KB free space left in / for macOS, continue
2024-08-22T20:42:01.5668490Z Post job cleanup.
2024-08-22T20:42:01.6481250Z [command]/usr/bin/git version
2024-08-22T20:42:01.6546980Z git version 2.39.3 (Apple Git-146)
2024-08-22T20:42:01.6569640Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/aa366563-202f-42c9-a505-3986d63abc49' before making global git config changes
2024-08-22T20:42:01.6570450Z Adding repository directory to the temporary git global config as a safe directory
2024-08-22T20:42:01.6572440Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/torchchat/torchchat/pytorch/torchchat
2024-08-22T20:42:01.6636290Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2024-08-22T20:42:01.6695730Z [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' || :"
2024-08-22T20:42:01.7190530Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2024-08-22T20:42:01.7238930Z http.https://github.com/.extraheader
2024-08-22T20:42:01.7246100Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2024-08-22T20:42:01.7304880Z [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' || :"
2024-08-22T20:42:01.7914310Z Post job cleanup.
2024-08-22T20:42:01.9375550Z Post job cleanup.
2024-08-22T20:42:02.0372310Z Cache hit occurred on the primary key miniconda-env-macOS-ARM64-3.9-20240822d--, not saving cache.
2024-08-22T20:42:02.0434320Z Post job cleanup.
2024-08-22T20:42:02.1425970Z Cache hit occurred on the primary key miniconda-macOS-ARM64-3.9-20240822d, not saving cache.
2024-08-22T20:42:02.1494060Z Post job cleanup.
2024-08-22T20:42:02.2300210Z [command]/usr/bin/git version
2024-08-22T20:42:02.2366220Z git version 2.39.3 (Apple Git-146)
2024-08-22T20:42:02.2392420Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/4e42e6e6-9cae-40e4-9d74-3e4496cf3cd1' before making global git config changes
2024-08-22T20:42:02.2393280Z Adding repository directory to the temporary git global config as a safe directory
2024-08-22T20:42:02.2394110Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/torchchat/torchchat/test-infra
2024-08-22T20:42:02.2454950Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2024-08-22T20:42:02.2512330Z [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' || :"
2024-08-22T20:42:02.2990400Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2024-08-22T20:42:02.3043710Z http.https://github.com/.extraheader
2024-08-22T20:42:02.3050820Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2024-08-22T20:42:02.3113440Z [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' || :"
2024-08-22T20:42:02.3650050Z A job completed hook has been configured by the self-hosted runner administrator
2024-08-22T20:42:02.3677140Z ##[group]Run '/opt/runner_scripts/post-job.sh'
2024-08-22T20:42:02.3691470Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2024-08-22T20:42:02.3691760Z ##[endgroup]
2024-08-22T20:42:02.4111450Z + df -h
2024-08-22T20:42:02.4118830Z + Checking if runner needs to be terminated...ok
2024-08-22T20:42:02.4119190Z + Outputting disk space
2024-08-22T20:42:02.4123690Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2024-08-22T20:42:02.4124270Z /dev/disk5s2s1   256Gi   9.5Gi   184Gi     5%    404k  1.9G    0%   /
2024-08-22T20:42:02.4124750Z devfs            217Ki   217Ki     0Bi   100%     752     0  100%   /dev
2024-08-22T20:42:02.4125390Z /dev/disk5s5     256Gi   2.0Gi   184Gi     2%       2  1.9G    0%   /System/Volumes/VM
2024-08-22T20:42:02.4126010Z /dev/disk5s3     256Gi   5.7Gi   184Gi     3%     997  1.9G    0%   /System/Volumes/Preboot
2024-08-22T20:42:02.4126590Z /dev/disk1s2     500Mi   6.0Mi   387Mi     2%       1  4.0M    0%   /System/Volumes/xarts
2024-08-22T20:42:02.4127180Z /dev/disk1s1     500Mi    54Mi   387Mi    13%      53  4.0M    0%   /System/Volumes/iSCPreboot
2024-08-22T20:42:02.4127770Z /dev/disk1s3     500Mi   636Ki   387Mi     1%      51  4.0M    0%   /System/Volumes/Hardware
2024-08-22T20:42:02.4128370Z /dev/disk5s1     256Gi    53Gi   184Gi    23%    4.2M  1.9G    0%   /System/Volumes/Data
2024-08-22T20:42:02.4129100Z /dev/disk3s4     228Gi   108Ki   212Gi     1%      17  2.2G    0%   /private/tmp/tmp-mount-56iMnP
2024-08-22T20:42:02.4129740Z map auto_home      0Bi     0Bi     0Bi   100%       0     0     -   /System/Volumes/Data/home
2024-08-22T20:42:02.4130200Z + Cleaning up old logs (Keep the latest 100)
2024-08-22T20:42:02.4134230Z + ls -t /var/log/post_job
2024-08-22T20:42:02.4134580Z + awk 'NR>100'
2024-08-22T20:42:02.4135020Z + xargs rm -fv
2024-08-22T20:42:02.4201260Z + Restoring SSH key to be the skeleton key
2024-08-22T20:42:02.4342590Z Cleaning up orphan processes