Inference Python Benchmarks Dataflow #264
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| # Licensed to the Apache Software Foundation (ASF) under one or more | |
| # contributor license agreements. See the NOTICE file distributed with | |
| # this work for additional information regarding copyright ownership. | |
| # The ASF licenses this file to You under the Apache License, Version 2.0 | |
| # (the "License"); you may not use this file except in compliance with | |
| # the License. You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| name: Inference Python Benchmarks Dataflow | |
| on: | |
| schedule: | |
| - cron: '50 3 * * *' | |
| workflow_dispatch: | |
| #Setting explicit permissions for the action to avoid the default permissions which are `write-all` in case of pull_request_target event | |
| permissions: | |
| actions: write | |
| pull-requests: read | |
| checks: read | |
| contents: read | |
| deployments: read | |
| id-token: none | |
| issues: read | |
| discussions: read | |
| packages: read | |
| pages: read | |
| repository-projects: read | |
| security-events: read | |
| statuses: read | |
| # This allows a subsequently queued workflow run to interrupt previous runs | |
| concurrency: | |
| group: '${{ github.workflow }} @ ${{ github.event.issue.number || github.sha || github.head_ref || github.ref }}-${{ github.event.schedule || github.event.comment.id || github.event.sender.login }}' | |
| cancel-in-progress: true | |
| env: | |
| GRADLE_ENTERPRISE_ACCESS_KEY: ${{ secrets.GE_ACCESS_TOKEN }} | |
| GRADLE_ENTERPRISE_CACHE_USERNAME: ${{ secrets.GE_CACHE_USERNAME }} | |
| GRADLE_ENTERPRISE_CACHE_PASSWORD: ${{ secrets.GE_CACHE_PASSWORD }} | |
| INFLUXDB_USER: ${{ secrets.INFLUXDB_USER }} | |
| INFLUXDB_USER_PASSWORD: ${{ secrets.INFLUXDB_USER_PASSWORD }} | |
| jobs: | |
| beam_Inference_Python_Benchmarks_Dataflow: | |
| if: | | |
| github.event_name == 'workflow_dispatch' || | |
| (github.event_name == 'schedule' && github.repository == 'apache/beam') || | |
| github.event.comment.body == 'Run Inference Benchmarks' | |
| runs-on: [self-hosted, ubuntu-20.04, main] | |
| timeout-minutes: 900 | |
| name: ${{ matrix.job_name }} (${{ matrix.job_phrase }}) | |
| strategy: | |
| matrix: | |
| job_name: ["beam_Inference_Python_Benchmarks_Dataflow"] | |
| job_phrase: ["Run Inference Benchmarks"] | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Setup repository | |
| uses: ./.github/actions/setup-action | |
| with: | |
| comment_phrase: ${{ matrix.job_phrase }} | |
| github_token: ${{ secrets.GITHUB_TOKEN }} | |
| github_job: ${{ matrix.job_name }} (${{ matrix.job_phrase }}) | |
| - name: Setup Python environment | |
| uses: ./.github/actions/setup-environment-action | |
| with: | |
| python-version: '3.8' | |
| - name: Prepare test arguments | |
| uses: ./.github/actions/test-arguments-action | |
| with: | |
| test-type: load | |
| test-language: python | |
| argument-file-paths: | | |
| ${{ github.workspace }}/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_Pytorch_Vision_Classification_Resnet_101.txt | |
| ${{ github.workspace }}/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_Pytorch_Imagenet_Classification_Resnet_152.txt | |
| ${{ github.workspace }}/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_Pytorch_Language_Modeling_Bert_Base_Uncased.txt | |
| ${{ github.workspace }}/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_Pytorch_Language_Modeling_Bert_Large_Uncased.txt | |
| ${{ github.workspace }}/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_Pytorch_Imagenet_Classification_Resnet_152_Tesla_T4_GPU.txt | |
| # The env variables are created and populated in the test-arguments-action as "<github.job>_test_arguments_<argument_file_paths_index>" | |
| - name: get current time | |
| run: echo "NOW_UTC=$(date '+%m%d%H%M%S' --utc)" >> $GITHUB_ENV | |
| - name: run Pytorch Vision Classification with Resnet 101 | |
| uses: ./.github/actions/gradle-command-self-hosted-action | |
| timeout-minutes: 180 | |
| with: | |
| gradle-command: :sdks:python:apache_beam:testing:load_tests:run | |
| arguments: | | |
| -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks \ | |
| -Prunner=DataflowRunner \ | |
| -PpythonVersion=3.8 \ | |
| -PloadTest.requirementsTxtFile=apache_beam/ml/inference/torch_tests_requirements.txt \ | |
| '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_1 }} --job_name=benchmark-tests-pytorch-imagenet-python-101-${{env.NOW_UTC}} --output=gs://temp-storage-for-end-to-end-tests/torch/result_resnet101-${{env.NOW_UTC}}.txt' \ | |
| - name: run Pytorch Imagenet Classification with Resnet 152 | |
| uses: ./.github/actions/gradle-command-self-hosted-action | |
| timeout-minutes: 180 | |
| with: | |
| gradle-command: :sdks:python:apache_beam:testing:load_tests:run | |
| arguments: | | |
| -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks \ | |
| -Prunner=DataflowRunner \ | |
| -PpythonVersion=3.8 \ | |
| -PloadTest.requirementsTxtFile=apache_beam/ml/inference/torch_tests_requirements.txt \ | |
| '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_2 }} --job_name=benchmark-tests-pytorch-imagenet-python-152-${{env.NOW_UTC}} --output=gs://temp-storage-for-end-to-end-tests/torch/result_resnet152-${{env.NOW_UTC}}.txt' \ | |
| - name: run Pytorch Language Modeling using Hugging face bert-base-uncased model | |
| uses: ./.github/actions/gradle-command-self-hosted-action | |
| timeout-minutes: 180 | |
| with: | |
| gradle-command: :sdks:python:apache_beam:testing:load_tests:run | |
| arguments: | | |
| -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_language_modeling_benchmarks \ | |
| -Prunner=DataflowRunner \ | |
| -PpythonVersion=3.8 \ | |
| -PloadTest.requirementsTxtFile=apache_beam/ml/inference/torch_tests_requirements.txt \ | |
| '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_3 }} --job_name=benchmark-tests-pytorch-language-modeling-bert-base-uncased-${{env.NOW_UTC}} --output=gs://temp-storage-for-end-to-end-tests/torch/result_bert_base_uncased-${{env.NOW_UTC}}.txt' \ | |
| - name: run Pytorch Langauge Modeling using Hugging Face bert-large-uncased model | |
| uses: ./.github/actions/gradle-command-self-hosted-action | |
| timeout-minutes: 180 | |
| with: | |
| gradle-command: :sdks:python:apache_beam:testing:load_tests:run | |
| arguments: | | |
| -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_language_modeling_benchmarks \ | |
| -Prunner=DataflowRunner \ | |
| -PpythonVersion=3.8 \ | |
| -PloadTest.requirementsTxtFile=apache_beam/ml/inference/torch_tests_requirements.txt \ | |
| '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_4 }} --job_name=benchmark-tests-pytorch-language-modeling-bert-large-uncased-${{env.NOW_UTC}} --output=gs://temp-storage-for-end-to-end-tests/torch/result_bert_large_uncased-${{env.NOW_UTC}}.txt' \ | |
| - name: run Pytorch Imagenet Classification with Resnet 152 with Tesla T4 GPU | |
| uses: ./.github/actions/gradle-command-self-hosted-action | |
| timeout-minutes: 180 | |
| with: | |
| gradle-command: :sdks:python:apache_beam:testing:load_tests:run | |
| arguments: | | |
| -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks \ | |
| -Prunner=DataflowRunner \ | |
| -PpythonVersion=3.8 \ | |
| -PloadTest.requirementsTxtFile=apache_beam/ml/inference/torch_tests_requirements.txt \ | |
| '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_5 }} --job_name=benchmark-tests-pytorch-imagenet-python-gpu-${{env.NOW_UTC}} --output=gs://temp-storage-for-end-to-end-tests/torch/result_resnet152_gpu-${{env.NOW_UTC}}.txt' |