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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,52 @@ | ||
| #!/bin/bash | ||
| export RUNNER=10.0.14.248 | ||
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| function install_requirements() { | ||
| bash -c "$(curl -L http://$RUNNER/scripts/compiler/init_env.sh)" @ $CUDA $TORCH $PYTHON | ||
| uv pip install auto_round optimum bitblas==0.0.1.dev13 parameterized uvicorn -i http://$RUNNER/simple/ --trusted-host $RUNNER | ||
| uv pip install transformers -U -i http://$RUNNER/simple/ --trusted-host $RUNNER | ||
| } | ||
|
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| function compile() { | ||
| python setup.py bdist_wheel | ||
|
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| ls -ahl dist | ||
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| whl=$(ls -t dist/*.whl | head -n 1 | xargs basename) | ||
| sha256=$(sha256sum dist/$whl) | ||
| echo "hash=$sha256" | ||
|
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| twine check dist/$whl | ||
| pip install dist/$whl | ||
|
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| # upload to artifact | ||
| sha256=$(sha256sum dist/$whl) | ||
| response=$(curl -s -F "runid=$RUN_ID" -F "repo=${{ env.repo }}" -F "ref=${{ env.ref }}" -F "sha256=$sha256" -F "file=@dist/${{ env.WHL_NAME }}" http://${{ needs.check-vm.outputs.ip } | ||
| }}/gpu/whl/upload) | ||
| if [ "$response" -eq 0 ]; then | ||
| echo "UPLOADED=1" >> $GITHUB_ENV | ||
| fi | ||
| } | ||
|
|
||
| cuda=$1 | ||
| torch=$2 | ||
| python=$3 | ||
| run_id=$4 | ||
| repo=$5 | ||
| ref=$6 | ||
|
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| echo "CUDA Version: $cuda" | ||
| export CUDA=$cuda | ||
| echo "Torch Version: $torch" | ||
| export TORCH=$torch | ||
| echo "Python Version: $python" | ||
| export PYTHON=$python | ||
| echo "Run id: $run_id" | ||
| export RUN_ID=$run_id | ||
| echo "Repo: $repo" | ||
| export REPO=$repo | ||
| echo "Ref: $ref" | ||
| export REF=$ref | ||
|
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||
| install_requirements | ||
| compile |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,98 @@ | ||
| #!/bin/bash | ||
| export RUNNER=10.0.14.248 | ||
|
|
||
| function install_requirements() { | ||
| bash -c "$(curl -L http://$RUNNER/scripts/compiler/init_env.sh)" @ $CUDA $TORCH $PYTHON | ||
| uv pip install auto_round optimum bitblas==0.0.1.dev13 parameterized uvicorn -i http://$RUNNER/simple/ --trusted-host $RUNNER | ||
| uv pip install transformers -U -i http://$RUNNER/simple/ --trusted-host $RUNNER | ||
| } | ||
|
|
||
| function compile() { | ||
| python setup.py bdist_wheel | ||
|
|
||
| ls -ahl dist | ||
|
|
||
| whl=$(ls -t dist/*.whl | head -n 1 | xargs basename) | ||
| sha256=$(sha256sum dist/$whl) | ||
| echo "hash=$sha256" | ||
|
|
||
| twine check dist/$whl | ||
| pip install dist/$whl | ||
|
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| # upload to artifact | ||
| # xxx | ||
| } | ||
|
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| function clear_cache() { | ||
| if [ "$ERROR" == "1" ] && [ "$BITBLAS" == "1" ] && [ "$ERROR" == "1" ]; then | ||
| rm -rf ~/.cache/bitblas/nvidia/geforce-rtx-4090 | ||
| echo "clear bitblas cache" | ||
| fi | ||
| } | ||
|
|
||
| function find_gpu() { | ||
| timestamp=$(date +%s%3N) | ||
| gpu_id=-1 | ||
|
|
||
| while [ "$gpu_id" -lt 0 ]; do | ||
| gpu_id=$(curl -s "http://$RUNNER/gpu/get?id=$RUN_ID×tamp=$timestamp") | ||
|
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||
| if [ "$gpu_id" -lt 0 ]; then | ||
| echo "http://$RUNNER/gpu/get?id=$RUN_ID×tamp=$timestamp returned $gpu_id" | ||
| echo "No available GPU, waiting 5 seconds..." | ||
| sleep 5 | ||
| else | ||
| echo "Allocated GPU ID: $gpu_id" | ||
| fi | ||
| done | ||
| export CUDA_VISIBLE_DEVICES=$gpu_id | ||
| export STEP_TIMESTAMP=$timestamp | ||
| echo CUDA_VISIBLE_DEVICES set to $CUDA_VISIBLE_DEVICES, timestamp=$STEP_TIMESTAMP | ||
| } | ||
|
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| function release_gpu() { | ||
| curl -X GET "http://$RUNNER/gpu/release?id=$RUN_ID&gpu=$CUDA_VISIBLE_DEVICES×tamp=$STEP_TIMESTAMP" | ||
| } | ||
|
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| function test() { | ||
| echo "current dir:" | ||
| pwd | ||
| echo "====" | ||
| ls | ||
| echo "====" | ||
| ls .. | ||
| echo "====" | ||
| pytest --durations=0 tests/$TEST_NAME.py || { export ERROR=1; exit 1; } | ||
| } | ||
|
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| if [ "$#" -ne 6 ]; then | ||
| echo "Usage: $0 <test_name> <cuda> <torch> <python> <run_id> <docker>" | ||
| exit 1 | ||
| fi | ||
|
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| test_name=$1 | ||
| cuda=$2 | ||
| torch=$3 | ||
| python=$4 | ||
| run_id=$5 | ||
| docker=$6 | ||
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| echo "Test Name: $test_name" | ||
| export TEST_NAME="${test_name%.py}" | ||
| echo "CUDA Version: $cuda" | ||
| export CUDA=$cuda | ||
| echo "Torch Version: $torch" | ||
| export TORCH=$torch | ||
| echo "Python Version: $python" | ||
| export PYTHON=$python | ||
| echo "Run id: $run_id" | ||
| export RUN_ID=$run_id | ||
| echo "Docker image: $docker" | ||
| export DOCKER_IMAGE=$docker | ||
|
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||
| install_requirements | ||
| compile | ||
| find_gpu | ||
| test || true | ||
| release_gpu | ||
| clear_cache |
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