This is an automated email from the ASF dual-hosted git repository.
Amar3tto pushed a commit to branch fix-inference-ml
in repository https://gitbox.apache.org/repos/asf/beam.git
The following commit(s) were added to refs/heads/fix-inference-ml by this push:
new fc634a7fdc5 Revert
fc634a7fdc5 is described below
commit fc634a7fdc5dd01f03e20973f545109309283e1c
Author: Vitaly Terentyev <[email protected]>
AuthorDate: Tue Oct 6 13:38:31 2026 +0400
Revert
---
.../beam_Inference_Python_Benchmarks_Dataflow.yml | 16 ++++++++--------
1 file changed, 8 insertions(+), 8 deletions(-)
diff --git a/.github/workflows/beam_Inference_Python_Benchmarks_Dataflow.yml
b/.github/workflows/beam_Inference_Python_Benchmarks_Dataflow.yml
index db0e4979e0f..828e94d0afc 100644
--- a/.github/workflows/beam_Inference_Python_Benchmarks_Dataflow.yml
+++ b/.github/workflows/beam_Inference_Python_Benchmarks_Dataflow.yml
@@ -101,28 +101,28 @@ 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)" >> $GITHUB_ENV
- - name: run PyTorch Image Object Detection Faster R-CNN ResNet-50
Streaming CPU
+ - name: run PyTorch Image Captioning BLIP + CLIP Streaming CPU
uses: ./.github/actions/gradle-command-self-hosted-action
timeout-minutes: 180
with:
gradle-command: :sdks:python:apache_beam:testing:load_tests:run
arguments: |
-
-PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_object_detection_benchmarks
\
+
-PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_captioning_benchmarks
\
-Prunner=DataflowRunner \
-PpythonVersion=3.10 \
-
-PloadTest.requirementsTxtFile=apache_beam/ml/inference/pytorch_image_object_detection_requirements.txt
\
- '-PloadTest.args=${{
env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_12 }} --device=CPU
--mode=streaming
--job_name=benchmark-tests-pytorch-image-object-detection-streaming-${{env.NOW_UTC}}
--metrics_table=torch_inference_image_object_detection_streaming_cpu
--output_table=apache-beam-testing.beam_run_inference.result_torch_inference_image_object_detection_streaming_cpu'
\
- - name: run PyTorch Image Captioning BLIP + CLIP Streaming CPU
+
-PloadTest.requirementsTxtFile=apache_beam/ml/inference/pytorch_image_captioning_requirements.txt
\
+ '-PloadTest.args=${{
env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_13 }} --device=CPU
--mode=streaming
--job_name=benchmark-tests-pytorch-image-captioning-streaming-${{env.NOW_UTC}}
--metrics_table=torch_inference_image_captioning_streaming_cpu
--output_table=apache-beam-testing.beam_run_inference.result_torch_inference_image_captioning_streaming_cpu'
+ - name: run PyTorch Image Object Detection Faster R-CNN ResNet-50
Streaming CPU
uses: ./.github/actions/gradle-command-self-hosted-action
timeout-minutes: 180
with:
gradle-command: :sdks:python:apache_beam:testing:load_tests:run
arguments: |
-
-PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_captioning_benchmarks
\
+
-PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_object_detection_benchmarks
\
-Prunner=DataflowRunner \
-PpythonVersion=3.10 \
-
-PloadTest.requirementsTxtFile=apache_beam/ml/inference/pytorch_image_captioning_requirements.txt
\
- '-PloadTest.args=${{
env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_13 }} --device=CPU
--mode=streaming
--job_name=benchmark-tests-pytorch-image-captioning-streaming-${{env.NOW_UTC}}
--metrics_table=torch_inference_image_captioning_streaming_cpu
--output_table=apache-beam-testing.beam_run_inference.result_torch_inference_image_captioning_streaming_cpu'
+
-PloadTest.requirementsTxtFile=apache_beam/ml/inference/pytorch_image_object_detection_requirements.txt
\
+ '-PloadTest.args=${{
env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_12 }} --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 Object Detection Faster R-CNN ResNet-50
Streaming GPU
uses: ./.github/actions/gradle-command-self-hosted-action
timeout-minutes: 180
