Inference Python Benchmarks Dataflow #40
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # 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: | |
| issue_comment: | |
| types: [created] | |
| 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.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@v3 | |
| - 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' |