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Posted to commits@beam.apache.org by sh...@apache.org on 2026/06/29 15:39:44 UTC
(beam) 01/02: Comment out successful steps
This is an automated email from the ASF dual-hosted git repository.
shunping pushed a commit to branch resolution-too-deep
in repository https://gitbox.apache.org/repos/asf/beam.git
commit 721eab59fd3be149bdad1c3249819015725074ca
Author: Shunping Huang <sh...@google.com>
AuthorDate: Mon Jun 29 11:33:11 2026 -0400
Comment out successful steps
---
.../beam_Inference_Python_Benchmarks_Dataflow.yml | 258 ++++++++++-----------
1 file changed, 129 insertions(+), 129 deletions(-)
diff --git a/.github/workflows/beam_Inference_Python_Benchmarks_Dataflow.yml b/.github/workflows/beam_Inference_Python_Benchmarks_Dataflow.yml
index 6bda0379bc7..aec7e2432dc 100644
--- a/.github/workflows/beam_Inference_Python_Benchmarks_Dataflow.yml
+++ b/.github/workflows/beam_Inference_Python_Benchmarks_Dataflow.yml
@@ -99,123 +99,123 @@ jobs:
# 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: Build VLLM Development Image
- id: build_vllm_image
- uses: ./.github/actions/build-push-docker-action
- with:
- dockerfile_path: 'sdks/python/apache_beam/ml/inference/test_resources/vllm.dockerfile'
- image_name: 'us-docker.pkg.dev/apache-beam-testing/beam-temp/beam-vllm-gpu-base'
- image_tag: ${{ github.sha }}
- - name: Run VLLM Gemma Batch Test
- uses: ./.github/actions/gradle-command-self-hosted-action
- timeout-minutes: 180
- with:
- gradle-command: :sdks:python:apache_beam:testing:load_tests:run
- arguments: |
- -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.vllm_gemma_benchmarks \
- -Prunner=DataflowRunner \
- -PsdkLocationOverride=false \
- -PpythonVersion=3.10 \
- -PloadTest.requirementsTxtFile=apache_beam/ml/inference/vllm_tests_requirements.txt '-PloadTest.args=${{ 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' \
- - 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' \
- - 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-${{env.NOW_UTC}}.txt' \
- - name: run Pytorch Imagenet Classification with Resnet 152
- uses: ./.github/actions/gradle-command-self-hosted-action
- timeout-minutes: 180
- with:
- gradle-command: :sdks:python:apache_beam:testing:load_tests:run
- arguments: |
- -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks \
- -Prunner=DataflowRunner \
- -PpythonVersion=3.10 \
- -PloadTest.requirementsTxtFile=apache_beam/ml/inference/torch_tests_requirements.txt \
- '-PloadTest.args=${{ 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' \
- - 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-${{env.NOW_UTC}}.txt' \
- - name: run Pytorch Langauge Modeling using Hugging Face bert-large-uncased model
- uses: ./.github/actions/gradle-command-self-hosted-action
- timeout-minutes: 180
- with:
- gradle-command: :sdks:python:apache_beam:testing:load_tests:run
- arguments: |
- -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_language_modeling_benchmarks \
- -Prunner=DataflowRunner \
- -PpythonVersion=3.10 \
- -PloadTest.requirementsTxtFile=apache_beam/ml/inference/torch_tests_requirements.txt \
- '-PloadTest.args=${{ 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' \
- - 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-${{env.NOW_UTC}}.txt'
- - name: run Table Row Inference Sklearn Batch
- uses: ./.github/actions/gradle-command-self-hosted-action
- timeout-minutes: 180
- with:
- gradle-command: :sdks:python:apache_beam:testing:load_tests:run
- arguments: |
- -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.table_row_inference_benchmark \
- -Prunner=DataflowRunner \
- -PpythonVersion=3.10 \
- -PloadTest.requirementsTxtFile=apache_beam/ml/inference/table_row_inference_requirements.txt \
- '-PloadTest.args=${{ 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- [...]
- - 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_inf [...]
+ # - name: Build VLLM Development Image
+ # id: build_vllm_image
+ # uses: ./.github/actions/build-push-docker-action
+ # with:
+ # dockerfile_path: 'sdks/python/apache_beam/ml/inference/test_resources/vllm.dockerfile'
+ # image_name: 'us-docker.pkg.dev/apache-beam-testing/beam-temp/beam-vllm-gpu-base'
+ # image_tag: ${{ github.sha }}
+ # - name: Run VLLM Gemma Batch Test
+ # uses: ./.github/actions/gradle-command-self-hosted-action
+ # timeout-minutes: 180
+ # with:
+ # gradle-command: :sdks:python:apache_beam:testing:load_tests:run
+ # arguments: |
+ # -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.vllm_gemma_benchmarks \
+ # -Prunner=DataflowRunner \
+ # -PsdkLocationOverride=false \
+ # -PpythonVersion=3.10 \
+ # -PloadTest.requirementsTxtFile=apache_beam/ml/inference/vllm_tests_requirements.txt '-PloadTest.args=${{ 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' \
+ # - 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' \
+ # - 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-${{env.NOW_UTC}}.txt' \
+ # - name: run Pytorch Imagenet Classification with Resnet 152
+ # uses: ./.github/actions/gradle-command-self-hosted-action
+ # timeout-minutes: 180
+ # with:
+ # gradle-command: :sdks:python:apache_beam:testing:load_tests:run
+ # arguments: |
+ # -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks \
+ # -Prunner=DataflowRunner \
+ # -PpythonVersion=3.10 \
+ # -PloadTest.requirementsTxtFile=apache_beam/ml/inference/torch_tests_requirements.txt \
+ # '-PloadTest.args=${{ 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' \
+ # - 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-${{env.NOW_UTC}}.txt' \
+ # - name: run Pytorch Langauge Modeling using Hugging Face bert-large-uncased model
+ # uses: ./.github/actions/gradle-command-self-hosted-action
+ # timeout-minutes: 180
+ # with:
+ # gradle-command: :sdks:python:apache_beam:testing:load_tests:run
+ # arguments: |
+ # -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_language_modeling_benchmarks \
+ # -Prunner=DataflowRunner \
+ # -PpythonVersion=3.10 \
+ # -PloadTest.requirementsTxtFile=apache_beam/ml/inference/torch_tests_requirements.txt \
+ # '-PloadTest.args=${{ 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' \
+ # - 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-${{env.NOW_UTC}}.txt'
+ # - name: run Table Row Inference Sklearn Batch
+ # uses: ./.github/actions/gradle-command-self-hosted-action
+ # timeout-minutes: 180
+ # with:
+ # gradle-command: :sdks:python:apache_beam:testing:load_tests:run
+ # arguments: |
+ # -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.table_row_inference_benchmark \
+ # -Prunner=DataflowRunner \
+ # -PpythonVersion=3.10 \
+ # -PloadTest.requirementsTxtFile=apache_beam/ml/inference/table_row_inference_requirements.txt \
+ # '-PloadTest.args=${{ 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-inferenc [...]
+ # - 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=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_10 }} --autoscaling_algorithm=THROUGHPUT_BASED --max_num_workers=20 --metrics_table=result_table_row_inference_stream --influx_measurement=result_table_row_inference_stream --mode=streaming --input_subscription=projects/apache-beam-testing/subscriptions/table_row_inference_benchmark --window_size_sec=60 --trigger_interval_sec=30 --timeout_ms=900000 --output_table=apache-beam-testing:beam_run_i [...]
- name: run MLTransform Generate Vocab Batch
uses: ./.github/actions/gradle-command-self-hosted-action
timeout-minutes: 180
@@ -227,15 +227,15 @@ jobs:
-PpythonVersion=3.10 \
-PloadTest.requirementsTxtFile=apache_beam/examples/ml_transform/mltransform_generate_vocab_requirements.txt \
'-PloadTest.args=${{ 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 [...]
\ No newline at end of file
+ # - 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/artifac [...]
\ No newline at end of file