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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 (2 part) | ||
| on: | ||
| schedule: | ||
| - cron: '50 19 * * *' | ||
| 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: | ||
| DEVELOCITY_ACCESS_KEY: ${{ secrets.DEVELOCITY_ACCESS_KEY }} | ||
| 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_2: | ||
| if: | | ||
| github.event_name == 'workflow_dispatch' || | ||
| (github.event_name == 'schedule' && github.repository == 'apache/beam') || | ||
| github.event.comment.body == 'Run Inference Benchmarks 2' | ||
| runs-on: [self-hosted, ubuntu-20.04, main] | ||
| timeout-minutes: 1000 | ||
| name: ${{ matrix.job_name }} (${{ matrix.job_phrase }}) | ||
| strategy: | ||
| matrix: | ||
| job_name: ["beam_Inference_Python_Benchmarks_Dataflow_2] | ||
| job_phrase: ["Run Inference Benchmarks 2"] | ||
| 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: | ||
| java-version: default | ||
| python-version: '3.10' | ||
| - name: Package Python SDK using Gradle | ||
| run: ./gradlew :sdks:python:sdist -PpythonVersion=3.10 | ||
| - name: Configure Docker for Artifact Registry | ||
| run: gcloud auth configure-docker us-docker.pkg.dev | ||
| - 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_2_Pytorch_Image_Classification_Rightfit.txt | ||
| ${{ github.workspace }}/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_2_Pytorch_Image_Object_Detection.txt | ||
| ${{ github.workspace }}/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_2_Pytorch_Image_Captioning.txt | ||
| # The env variables are created and populated in the test-arguments-action as "<github.job>_test_arguments_<argument_file_paths_index>" | ||
| - name: get current time | ||
| run: echo "NOW_UTC=$(date '+%m%d%H%M%S' --utc)" >> $GITHUB_ENV | ||
| - name: run PyTorch Image Object Detection Faster R-CNN ResNet-50 Batch CPU | ||
| uses: ./.github/actions/gradle-command-self-hosted-action | ||
| timeout-minutes: 180 | ||
| with: | ||
| gradle-command: :sdks:python:apache_beam:testing:load_tests:run | ||
| arguments: | | ||
| -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_object_detection_benchmarks \ | ||
| -Prunner=DataflowRunner \ | ||
| -PpythonVersion=3.10 \ | ||
| -PloadTest.requirementsTxtFile=apache_beam/ml/inference/pytorch_image_object_detection_requirements.txt \ | ||
| '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_2_test_arguments_2 }} --device=CPU --mode=batch --job_name=benchmark-tests-pytorch-image-object-detection-batch-${{env.NOW_UTC}} --metrics_table=torch_inference_image_object_detection_batch_cpu --output_table=apache-beam-testing.beam_run_inference.result_torch_inference_image_object_detection_batch_cpu' \ | ||
| - name: run PyTorch Image Captioning BLIP + CLIP Batch CPU | ||
| uses: ./.github/actions/gradle-command-self-hosted-action | ||
| timeout-minutes: 180 | ||
| with: | ||
| gradle-command: :sdks:python:apache_beam:testing:load_tests:run | ||
| arguments: | | ||
| -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_captioning_benchmarks \ | ||
| -Prunner=DataflowRunner \ | ||
| -PpythonVersion=3.10 \ | ||
| -PloadTest.requirementsTxtFile=apache_beam/ml/inference/pytorch_image_captioning_requirements.txt \ | ||
| '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_2_test_arguments_3 }} --device=CPU --mode=batch --job_name=benchmark-tests-pytorch-image-captioning-batch-${{env.NOW_UTC}} --metrics_table=torch_inference_image_captioning_batch_cpu --output_table=apache-beam-testing.beam_run_inference.result_torch_inference_image_captioning_batch_cpu' | ||
| - name: run PyTorch Image Object Detection Faster R-CNN ResNet-50 Batch GPU | ||
| uses: ./.github/actions/gradle-command-self-hosted-action | ||
| timeout-minutes: 180 | ||
| with: | ||
| gradle-command: :sdks:python:apache_beam:testing:load_tests:run | ||
| arguments: | | ||
| -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_object_detection_benchmarks \ | ||
| -Prunner=DataflowRunner \ | ||
| -PpythonVersion=3.10 \ | ||
| -PloadTest.requirementsTxtFile=apache_beam/ml/inference/pytorch_image_object_detection_requirements.txt \ | ||
| '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_2_test_arguments_2 }} --device=GPU --worker_accelerator=type=nvidia-tesla-t4,count=1,install-nvidia-driver=true --mode=batch --job_name=benchmark-tests-pytorch-image-object-detection-batch-${{env.NOW_UTC}} --metrics_table=torch_inference_image_object_detection_batch_gpu --output_table=apache-beam-testing.beam_run_inference.result_torch_inference_image_object_detection_batch_gpu' \ | ||
| - name: run PyTorch Image Captioning BLIP + CLIP Batch GPU | ||
| uses: ./.github/actions/gradle-command-self-hosted-action | ||
| timeout-minutes: 180 | ||
| with: | ||
| gradle-command: :sdks:python:apache_beam:testing:load_tests:run | ||
| arguments: | | ||
| -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_captioning_benchmarks \ | ||
| -Prunner=DataflowRunner \ | ||
| -PpythonVersion=3.10 \ | ||
| -PloadTest.requirementsTxtFile=apache_beam/ml/inference/pytorch_image_captioning_requirements.txt \ | ||
| '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_2_test_arguments_3 }} --device=GPU --worker_accelerator=type=nvidia-tesla-t4,count=1,install-nvidia-driver=true --mode=batch --job_name=benchmark-tests-pytorch-image-captioning-batch-${{env.NOW_UTC}} --metrics_table=torch_inference_image_captioning_batch_gpu --output_table=apache-beam-testing.beam_run_inference.result_torch_inference_image_captioning_batch_gpu' \ | ||
| - name: run PyTorch Image Object Detection Faster R-CNN ResNet-50 Streaming CPU | ||
| uses: ./.github/actions/gradle-command-self-hosted-action | ||
| timeout-minutes: 180 | ||
| with: | ||
| gradle-command: :sdks:python:apache_beam:testing:load_tests:run | ||
| arguments: | | ||
| -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_object_detection_benchmarks \ | ||
| -Prunner=DataflowRunner \ | ||
| -PpythonVersion=3.10 \ | ||
| -PloadTest.requirementsTxtFile=apache_beam/ml/inference/pytorch_image_object_detection_requirements.txt \ | ||
| '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_2_test_arguments_2 }} --device=CPU --mode=streaming --job_name=benchmark-tests-pytorch-image-object-detection-streaming-${{env.NOW_UTC}} --metrics_table=torch_inference_image_object_detection_streaming_cpu --output_table=apache-beam-testing.beam_run_inference.result_torch_inference_image_object_detection_streaming_cpu' \ | ||
| - name: run PyTorch Image Captioning BLIP + CLIP Streaming CPU | ||
| uses: ./.github/actions/gradle-command-self-hosted-action | ||
| timeout-minutes: 180 | ||
| with: | ||
| gradle-command: :sdks:python:apache_beam:testing:load_tests:run | ||
| arguments: | | ||
| -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_captioning_benchmarks \ | ||
| -Prunner=DataflowRunner \ | ||
| -PpythonVersion=3.10 \ | ||
| -PloadTest.requirementsTxtFile=apache_beam/ml/inference/pytorch_image_captioning_requirements.txt \ | ||
| '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_2_test_arguments_3 }} --device=CPU --mode=streaming --job_name=benchmark-tests-pytorch-image-captioning-streaming-${{env.NOW_UTC}} --metrics_table=torch_inference_image_captioning_streaming_cpu --output_table=apache-beam-testing.beam_run_inference.result_torch_inference_image_captioning_streaming_cpu' | ||
| - name: run PyTorch Image Object Detection Faster R-CNN ResNet-50 Streaming GPU | ||
| uses: ./.github/actions/gradle-command-self-hosted-action | ||
| timeout-minutes: 180 | ||
| with: | ||
| gradle-command: :sdks:python:apache_beam:testing:load_tests:run | ||
| arguments: | | ||
| -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_object_detection_benchmarks \ | ||
| -Prunner=DataflowRunner \ | ||
| -PpythonVersion=3.10 \ | ||
| -PloadTest.requirementsTxtFile=apache_beam/ml/inference/pytorch_image_object_detection_requirements.txt \ | ||
| '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_2_test_arguments_2 }} --device=GPU --worker_accelerator=type=nvidia-tesla-t4,count=1,install-nvidia-driver=true --mode=streaming --job_name=benchmark-tests-pytorch-image-object-detection-streaming-${{env.NOW_UTC}} --metrics_table=torch_inference_image_object_detection_streaming_gpu --output_table=apache-beam-testing.beam_run_inference.result_torch_inference_image_object_detection_streaming_gpu' \ | ||
| - name: run PyTorch Image Captioning BLIP + CLIP Streaming GPU | ||
| uses: ./.github/actions/gradle-command-self-hosted-action | ||
| timeout-minutes: 180 | ||
| with: | ||
| gradle-command: :sdks:python:apache_beam:testing:load_tests:run | ||
| arguments: | | ||
| -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_captioning_benchmarks \ | ||
| -Prunner=DataflowRunner \ | ||
| -PpythonVersion=3.10 \ | ||
| -PloadTest.requirementsTxtFile=apache_beam/ml/inference/pytorch_image_captioning_requirements.txt \ | ||
| '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_2_test_arguments_3 }} --device=GPU --worker_accelerator=type=nvidia-tesla-t4,count=1,install-nvidia-driver=true --mode=streaming --job_name=benchmark-tests-pytorch-image-captioning-streaming-${{env.NOW_UTC}} --metrics_table=torch_inference_image_captioning_streaming_gpu --output_table=apache-beam-testing.beam_run_inference.result_torch_inference_image_captioning_streaming_gpu' \ | ||
| - name: run PyTorch Image Classification EfficientNet-B0 Streaming (Right-fitting) CPU | ||
| uses: ./.github/actions/gradle-command-self-hosted-action | ||
| timeout-minutes: 180 | ||
| with: | ||
| gradle-command: :sdks:python:apache_beam:testing:load_tests:run | ||
| arguments: | | ||
| -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_imagenet_rightfit_benchmarks \ | ||
| -Prunner=DataflowRunner \ | ||
| -PpythonVersion=3.10 \ | ||
| -PloadTest.requirementsTxtFile=apache_beam/ml/inference/pytorch_rightfit_requirements.txt \ | ||
| '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_2_test_arguments_1 }} --device=CPU --enable_dedup=false --mode=streaming --job_name=benchmark-tests-pytorch-imagenet-rightfit-streaming-${{env.NOW_UTC}} --metrics_table=torch_inference_imagenet_stream_rightfit_cpu --output_table=apache-beam-testing.beam_run_inference.result_torch_inference_imagenet_stream_rightfit_cpu' \ | ||
| - name: run PyTorch Image Classification EfficientNet-B0 Streaming (Right-fitting Exactly-once) CPU | ||
| uses: ./.github/actions/gradle-command-self-hosted-action | ||
| timeout-minutes: 180 | ||
| with: | ||
| gradle-command: :sdks:python:apache_beam:testing:load_tests:run | ||
| arguments: | | ||
| -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_imagenet_rightfit_benchmarks \ | ||
| -Prunner=DataflowRunner \ | ||
| -PpythonVersion=3.10 \ | ||
| -PloadTest.requirementsTxtFile=apache_beam/ml/inference/pytorch_rightfit_requirements.txt \ | ||
| '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_2_test_arguments_1 }} --device=CPU --enable_dedup=true --mode=streaming --job_name=benchmark-tests-pytorch-imagenet-rightfit-streaming-${{env.NOW_UTC}} --metrics_table=torch_inference_imagenet_stream_rightfit_once_cpu --output_table=apache-beam-testing.beam_run_inference.result_torch_inference_imagenet_stream_rightfit_once_cpu' \ | ||
| - name: run PyTorch Image Classification EfficientNet-B0 Streaming (Right-fitting) GPU | ||
| uses: ./.github/actions/gradle-command-self-hosted-action | ||
| timeout-minutes: 180 | ||
| with: | ||
| gradle-command: :sdks:python:apache_beam:testing:load_tests:run | ||
| arguments: | | ||
| -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_imagenet_rightfit_benchmarks \ | ||
| -Prunner=DataflowRunner \ | ||
| -PpythonVersion=3.10 \ | ||
| -PloadTest.requirementsTxtFile=apache_beam/ml/inference/pytorch_rightfit_requirements.txt \ | ||
| '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_2_test_arguments_1 }} --device=GPU --experiments=worker_accelerator=type:nvidia-tesla-t4;count:1;install-nvidia-driver:5xx --enable_dedup=false --mode=streaming --job_name=benchmark-tests-pytorch-imagenet-rightfit-streaming-${{env.NOW_UTC}} --metrics_table=torch_inference_imagenet_stream_rightfit_gpu --output_table=apache-beam-testing.beam_run_inference.result_torch_inference_imagenet_stream_rightfit_gpu' \ | ||
| - name: run PyTorch Image Classification EfficientNet-B0 Streaming (Right-fitting Exactly-once) GPU | ||
| uses: ./.github/actions/gradle-command-self-hosted-action | ||
| timeout-minutes: 180 | ||
| with: | ||
| gradle-command: :sdks:python:apache_beam:testing:load_tests:run | ||
| arguments: | | ||
| -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_imagenet_rightfit_benchmarks \ | ||
| -Prunner=DataflowRunner \ | ||
| -PpythonVersion=3.10 \ | ||
| -PloadTest.requirementsTxtFile=apache_beam/ml/inference/pytorch_rightfit_requirements.txt \ | ||
| '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_2_test_arguments_1 }} --device=GPU --experiments=worker_accelerator=type:nvidia-tesla-t4;count:1;install-nvidia-driver:5xx --enable_dedup=true --mode=streaming --job_name=benchmark-tests-pytorch-imagenet-rightfit-streaming-${{env.NOW_UTC}} --metrics_table=torch_inference_imagenet_stream_rightfit_once_gpu --output_table=apache-beam-testing.beam_run_inference.result_torch_inference_imagenet_stream_rightfit_once_gpu' | ||
