Fix

Author: Amar3tto

.github/workflows/beam_Inference_Python_Benchmarks_Dataflow.yml

@@ -108,134 +108,135 @@ jobs:
           image_tag: ${{ github.sha }}
       - name: Run VLLM Gemma Batch Test
         uses: ./.github/actions/gradle-command-self-hosted-action
-        timeout-minutes: 180
+        timeout-minutes: 270
         with:
           gradle-command: :sdks:python:apache_beam:testing:load_tests:run
           arguments: |
-            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.vllm_gemma_benchmarks \
-            -Prunner=DataflowRunner \
-            -PsdkLocationOverride=false \
-            -PpythonVersion=3.10 \
-            -PloadTest.requirementsTxtFile=apache_beam/ml/inference/vllm_tests_requirements.txt '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_8 }} --mode=batch --job_name=benchmark-tests-vllm-with-gemma-2b-it-batch-${{env.NOW_UTC}} --sdk_container_image=${{ steps.build_vllm_image.outputs.image_url }}'
+            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.vllm_gemma_benchmarks
+            -Prunner=DataflowRunner
+            -PsdkLocationOverride=false
+            -PpythonVersion=3.10
+            -PloadTest.requirementsTxtFile=apache_beam/ml/inference/vllm_tests_requirements.txt
+            -PloadTest.args="${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_8 }} --mode=batch --job_name=benchmark-tests-vllm-with-gemma-2b-it-batch-${{env.NOW_UTC}} --sdk_container_image=${{ steps.build_vllm_image.outputs.image_url }}"
       - name: run Pytorch Sentiment Streaming using Hugging Face distilbert-base-uncased model
         uses: ./.github/actions/gradle-command-self-hosted-action
         timeout-minutes: 180
         with:
           gradle-command: :sdks:python:apache_beam:testing:load_tests:run
           arguments: |
-            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_sentiment_benchmarks \
-            -Prunner=DataflowRunner \
-            -PpythonVersion=3.10 \
-            -PloadTest.requirementsTxtFile=apache_beam/ml/inference/torch_tests_requirements.txt \
-            '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_6 }} --mode=streaming --job_name=benchmark-tests-pytorch-sentiment-distilbert-base-uncased-streaming-${{env.NOW_UTC}} --output_table=apache-beam-testing.beam_run_inference.result_sentiment_distilbert_base_uncased' \
+            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_sentiment_benchmarks
+            -Prunner=DataflowRunner
+            -PpythonVersion=3.10
+            -PloadTest.requirementsTxtFile=apache_beam/ml/inference/torch_tests_requirements.txt
+            -PloadTest.args="${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_6 }} --mode=streaming --job_name=benchmark-tests-pytorch-sentiment-distilbert-base-uncased-streaming-${{env.NOW_UTC}} --output_table=apache-beam-testing.beam_run_inference.result_sentiment_distilbert_base_uncased"
       - name: run Pytorch Sentiment Batch using Hugging Face distilbert-base-uncased model
         uses: ./.github/actions/gradle-command-self-hosted-action
         timeout-minutes: 180
         with:
           gradle-command: :sdks:python:apache_beam:testing:load_tests:run
           arguments: |
-            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_sentiment_benchmarks \
-            -Prunner=DataflowRunner \
-            -PpythonVersion=3.10 \
-            -PloadTest.requirementsTxtFile=apache_beam/ml/inference/torch_tests_requirements.txt \
-            '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_7 }} --mode=batch --job_name=benchmark-tests-pytorch-sentiment-distilbert-base-uncased-batch-${{env.NOW_UTC}} --output_table=apache-beam-testing.beam_run_inference.result_sentiment_distilbert_base_uncased' \
+            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_sentiment_benchmarks
+            -Prunner=DataflowRunner
+            -PpythonVersion=3.10
+            -PloadTest.requirementsTxtFile=apache_beam/ml/inference/torch_tests_requirements.txt
+            -PloadTest.args="${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_7 }} --mode=batch --job_name=benchmark-tests-pytorch-sentiment-distilbert-base-uncased-batch-${{env.NOW_UTC}} --output_table=apache-beam-testing.beam_run_inference.result_sentiment_distilbert_base_uncased"
       - name: run Pytorch Vision Classification with Resnet 101
         uses: ./.github/actions/gradle-command-self-hosted-action
         timeout-minutes: 180
         with:
           gradle-command: :sdks:python:apache_beam:testing:load_tests:run
           arguments: |
-            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks \
-            -Prunner=DataflowRunner \
-            -PpythonVersion=3.10 \
-            -PloadTest.requirementsTxtFile=apache_beam/ml/inference/torch_tests_requirements.txt \
-            '-PloadTest.args=${{ 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' \
+            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks
+            -Prunner=DataflowRunner
+            -PpythonVersion=3.10
+            -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-${{env.NOW_UTC}}.txt"
       - name: run Pytorch Imagenet Classification with Resnet 152
         uses: ./.github/actions/gradle-command-self-hosted-action
         timeout-minutes: 180
         with:
           gradle-command: :sdks:python:apache_beam:testing:load_tests:run
           arguments: |
-            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks \
-            -Prunner=DataflowRunner \
-            -PpythonVersion=3.10 \
-            -PloadTest.requirementsTxtFile=apache_beam/ml/inference/torch_tests_requirements.txt \
-            '-PloadTest.args=${{ 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' \
+            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks
+            -Prunner=DataflowRunner
+            -PpythonVersion=3.10
+            -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-${{env.NOW_UTC}}.txt"
       - name: run Pytorch Language Modeling using Hugging Face bert-base-uncased model
         uses: ./.github/actions/gradle-command-self-hosted-action
         timeout-minutes: 180
         with:
           gradle-command: :sdks:python:apache_beam:testing:load_tests:run
           arguments: |
-            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_language_modeling_benchmarks \
-            -Prunner=DataflowRunner \
-            -PpythonVersion=3.10 \
-            -PloadTest.requirementsTxtFile=apache_beam/ml/inference/torch_tests_requirements.txt \
-            '-PloadTest.args=${{ 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' \
+            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_language_modeling_benchmarks
+            -Prunner=DataflowRunner
+            -PpythonVersion=3.10
+            -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-${{env.NOW_UTC}}.txt"
       - name: run Pytorch Langauge Modeling using Hugging Face bert-large-uncased model
         uses: ./.github/actions/gradle-command-self-hosted-action
         timeout-minutes: 180
         with:
           gradle-command: :sdks:python:apache_beam:testing:load_tests:run
           arguments: |
-            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_language_modeling_benchmarks \
-            -Prunner=DataflowRunner \
-            -PpythonVersion=3.10 \
-            -PloadTest.requirementsTxtFile=apache_beam/ml/inference/torch_tests_requirements.txt \
-            '-PloadTest.args=${{ 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' \
+            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_language_modeling_benchmarks
+            -Prunner=DataflowRunner
+            -PpythonVersion=3.10
+            -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-${{env.NOW_UTC}}.txt"
       - name: run Pytorch Imagenet Classification with Resnet 152 with Tesla T4 GPU
         uses: ./.github/actions/gradle-command-self-hosted-action
         timeout-minutes: 180
         with:
           gradle-command: :sdks:python:apache_beam:testing:load_tests:run
           arguments: |
-            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks \
-            -Prunner=DataflowRunner \
-            -PpythonVersion=3.10 \
-            -PloadTest.requirementsTxtFile=apache_beam/ml/inference/torch_tests_requirements.txt \
-            '-PloadTest.args=${{ 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'
+            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks
+            -Prunner=DataflowRunner
+            -PpythonVersion=3.10
+            -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-${{env.NOW_UTC}}.txt"
       - name: run Table Row Inference Sklearn Batch
         uses: ./.github/actions/gradle-command-self-hosted-action
         timeout-minutes: 180
         with:
           gradle-command: :sdks:python:apache_beam:testing:load_tests:run
           arguments: |
-            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.table_row_inference_benchmark \
-            -Prunner=DataflowRunner \
-            -PpythonVersion=3.10 \
-            -PloadTest.requirementsTxtFile=apache_beam/ml/inference/table_row_inference_requirements.txt \
-            '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_9 }} --autoscaling_algorithm=NONE --metrics_table=result_table_row_inference_batch --influx_measurement=result_table_row_inference_batch --mode=batch --input_file=gs://apache-beam-ml/testing/inputs/table_rows_100k_benchmark.jsonl --input_expand_factor=100 --output_table=apache-beam-testing:beam_run_inference.result_table_row_inference_batch_outputs --job_name=benchmark-tests-table-row-inference-batch-${{env.NOW_UTC}}'
+            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.table_row_inference_benchmark
+            -Prunner=DataflowRunner
+            -PpythonVersion=3.10
+            -PloadTest.requirementsTxtFile=apache_beam/ml/inference/table_row_inference_requirements.txt
+            -PloadTest.args="${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_9 }} --autoscaling_algorithm=NONE --metrics_table=result_table_row_inference_batch --influx_measurement=result_table_row_inference_batch --mode=batch --input_file=gs://apache-beam-ml/testing/inputs/table_rows_100k_benchmark.jsonl --input_expand_factor=100 --output_table=apache-beam-testing:beam_run_inference.result_table_row_inference_batch_outputs --job_name=benchmark-tests-table-row-inference-batch-${{env.NOW_UTC}}"
       - name: run Table Row Inference Sklearn Stream
         uses: ./.github/actions/gradle-command-self-hosted-action
         timeout-minutes: 180
         with:
           gradle-command: :sdks:python:apache_beam:testing:load_tests:run
           arguments: |
-            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.table_row_inference_benchmark \
-            -Prunner=DataflowRunner \
-            -PpythonVersion=3.10 \
-            -PloadTest.requirementsTxtFile=apache_beam/ml/inference/table_row_inference_requirements.txt \
-            '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_10 }} --autoscaling_algorithm=THROUGHPUT_BASED --max_num_workers=20 --metrics_table=result_table_row_inference_stream --influx_measurement=result_table_row_inference_stream --mode=streaming --input_subscription=projects/apache-beam-testing/subscriptions/table_row_inference_benchmark --window_size_sec=60 --trigger_interval_sec=30 --timeout_ms=900000 --output_table=apache-beam-testing:beam_run_inference.result_table_row_inference_stream_outputs --job_name=benchmark-tests-table-row-inference-stream-${{env.NOW_UTC}}'
+            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.table_row_inference_benchmark
+            -Prunner=DataflowRunner
+            -PpythonVersion=3.10
+            -PloadTest.requirementsTxtFile=apache_beam/ml/inference/table_row_inference_requirements.txt
+            -PloadTest.args="${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_10 }} --autoscaling_algorithm=THROUGHPUT_BASED --max_num_workers=20 --metrics_table=result_table_row_inference_stream --influx_measurement=result_table_row_inference_stream --mode=streaming --input_subscription=projects/apache-beam-testing/subscriptions/table_row_inference_benchmark --window_size_sec=60 --trigger_interval_sec=30 --timeout_ms=900000 --output_table=apache-beam-testing:beam_run_inference.result_table_row_inference_stream_outputs --job_name=benchmark-tests-table-row-inference-stream-${{env.NOW_UTC}}"
       - name: run MLTransform Generate Vocab Batch
         uses: ./.github/actions/gradle-command-self-hosted-action
         timeout-minutes: 180
         with:
           gradle-command: :sdks:python:apache_beam:testing:load_tests:run
           arguments: |
-            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.mltransform_generate_vocab_benchmark \
-            -Prunner=DataflowRunner \
-            -PpythonVersion=3.10 \
-            -PloadTest.requirementsTxtFile=apache_beam/examples/ml_transform/mltransform_generate_vocab_requirements.txt \
-            '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_11 }} --job_name=benchmark-tests-mltransform-generate-vocab-batch-${{env.NOW_UTC}}'
+            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.mltransform_generate_vocab_benchmark
+            -Prunner=DataflowRunner
+            -PpythonVersion=3.10
+            -PloadTest.requirementsTxtFile=apache_beam/examples/ml_transform/mltransform_generate_vocab_requirements.txt
+            -PloadTest.args="${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_11 }} --job_name=benchmark-tests-mltransform-generate-vocab-batch-${{env.NOW_UTC}}"
       - name: run MLTransform One-Hot Encoding Batch
         uses: ./.github/actions/gradle-command-self-hosted-action
         timeout-minutes: 180
         with:
           gradle-command: :sdks:python:apache_beam:testing:load_tests:run
           arguments: |
-            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.mltransform_one_hot_encoding_benchmark \
-            -Prunner=DataflowRunner \
-            -PpythonVersion=3.10 \
-            -PbeamPythonExtra=ml_test \
-            -PloadTest.requirementsTxtFile=apache_beam/ml/transforms/mltransform_tests_requirements.txt \
-            '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_12 }} --autoscaling_algorithm=NONE --metrics_table=mltransform_one_hot_encoding_batch --influx_measurement=mltransform_one_hot_encoding_batch --job_name=benchmark-tests-mltransform-one-hot-encoding-batch-${{env.NOW_UTC}} --output_file=gs://temp-storage-for-end-to-end-tests/mltransform/one_hot_output_${{env.NOW_UTC}} --artifact_location=gs://temp-storage-for-end-to-end-tests/mltransform/artifacts_${{env.NOW_UTC}}'
+            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.mltransform_one_hot_encoding_benchmark
+            -Prunner=DataflowRunner
+            -PpythonVersion=3.10
+            -PbeamPythonExtra=ml_test
+            -PloadTest.requirementsTxtFile=apache_beam/ml/transforms/mltransform_tests_requirements.txt
+            -PloadTest.args="${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_12 }} --autoscaling_algorithm=NONE --metrics_table=mltransform_one_hot_encoding_batch --influx_measurement=mltransform_one_hot_encoding_batch --job_name=benchmark-tests-mltransform-one-hot-encoding-batch-${{env.NOW_UTC}} --output_file=gs://temp-storage-for-end-to-end-tests/mltransform/one_hot_output_${{env.NOW_UTC}} --artifact_location=gs://temp-storage-for-end-to-end-tests/mltransform/artifacts_${{env.NOW_UTC}}"

.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_VLLM_Gemma_Batch.txt

@@ -35,3 +35,4 @@
 --requirements_file=apache_beam/ml/inference/vllm_tests_requirements.txt
 --dataflow_service_options=worker_accelerator=type:nvidia-tesla-t4;count:1;install-nvidia-driver
 --experiments=use_runner_v2
+--timeout_ms=16200000