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 8b62cadaae9 Test streaming
8b62cadaae9 is described below
commit 8b62cadaae97734cc43fa9c0b2ee431740edc31d
Author: Vitaly Terentyev <[email protected]>
AuthorDate: Tue Aug 25 14:34:56 2026 +0400
Test streaming
---
.../workflows/beam_Inference_Python_Benchmarks_Dataflow.yml | 13 -------------
1 file changed, 13 deletions(-)
diff --git a/.github/workflows/beam_Inference_Python_Benchmarks_Dataflow.yml
b/.github/workflows/beam_Inference_Python_Benchmarks_Dataflow.yml
index fc67923c6c2..19cf73c0e4e 100644
--- a/.github/workflows/beam_Inference_Python_Benchmarks_Dataflow.yml
+++ b/.github/workflows/beam_Inference_Python_Benchmarks_Dataflow.yml
@@ -105,19 +105,6 @@ jobs:
${{ github.workspace
}}/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_MLTransform_Text_Embedding_Batch.txt
${{ github.workspace
}}/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_MLTransform_Image_Embedding_CPU_Batch.txt
# The env variables are created and populated in the
test-arguments-action as
"<github.job>_test_arguments_<argument_file_paths_index>"
- - name: get current time
- run: echo "NOW_UTC=$(date '+%m%d%H%M%S' --utc)" >> $GITHUB_ENV
- - name: run PyTorch Image Captioning BLIP + CLIP Batch GPU
- uses: ./.github/actions/gradle-command-self-hosted-action
- timeout-minutes: 180
- with:
- gradle-command: :sdks:python:apache_beam:testing:load_tests:run
- arguments: |
-
-PloadTest.mainClass=apache_beam.testing.benchmarks.inference.pytorch_image_captioning_benchmarks
\
- -Prunner=DataflowRunner \
- -PpythonVersion=3.10 \
-
-PloadTest.requirementsTxtFile=apache_beam/ml/inference/pytorch_image_captioning_requirements.txt
\
- '-PloadTest.args=${{
env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_13 }} --device=GPU
--worker_accelerator=type=nvidia-tesla-t4,count=1,install-nvidia-driver=true
--sdk_location=container
--sdk_container_image=us.gcr.io/apache-beam-testing/python-postcommit-it/tensor_rt:latest
--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_ [...]
- name: run PyTorch Image Object Detection Faster R-CNN ResNet-50
Streaming CPU
uses: ./.github/actions/gradle-command-self-hosted-action
timeout-minutes: 180