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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 4c5d9652bc5 Use timeout_ms
4c5d9652bc5 is described below

commit 4c5d9652bc555f125b27bacc600d5469215ad067
Author: Vitaly Terentyev <[email protected]>
AuthorDate: Tue Oct 6 16:40:40 2026 +0400

    Use timeout_ms
---
 ...am_Inference_Python_Benchmarks_Dataflow_Pytorch_Image_Captioning.txt | 1 +
 ...Python_Benchmarks_Dataflow_Pytorch_Image_Classification_Rightfit.txt | 1 +
 ...erence_Python_Benchmarks_Dataflow_Pytorch_Image_Object_Detection.txt | 1 +
 sdks/python/apache_beam/examples/inference/pytorch_image_captioning.py  | 2 +-
 .../apache_beam/examples/inference/pytorch_image_object_detection.py    | 2 +-
 5 files changed, 5 insertions(+), 2 deletions(-)

diff --git 
a/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_Pytorch_Image_Captioning.txt
 
b/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_Pytorch_Image_Captioning.txt
index c58707383ef..92a731ccc7b 100644
--- 
a/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_Pytorch_Image_Captioning.txt
+++ 
b/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_Pytorch_Image_Captioning.txt
@@ -35,3 +35,4 @@
 --clip_score_normalize=false
 --runner=DataflowRunner
 --experiments=use_runner_v2
+--timeout_ms=9000000
diff --git 
a/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_Pytorch_Image_Classification_Rightfit.txt
 
b/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_Pytorch_Image_Classification_Rightfit.txt
index 1140ee5735e..616d0d7c135 100644
--- 
a/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_Pytorch_Image_Classification_Rightfit.txt
+++ 
b/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_Pytorch_Image_Classification_Rightfit.txt
@@ -39,3 +39,4 @@
 --inference_batch_size=16
 --window_sec=60
 --trigger_proc_time_sec=30
+--timeout_ms=9000000
diff --git 
a/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_Pytorch_Image_Object_Detection.txt
 
b/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_Pytorch_Image_Object_Detection.txt
index 18f017ad010..98d00208409 100644
--- 
a/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_Pytorch_Image_Object_Detection.txt
+++ 
b/.github/workflows/load-tests-pipeline-options/beam_Inference_Python_Benchmarks_Dataflow_Pytorch_Image_Object_Detection.txt
@@ -35,3 +35,4 @@
 
--model_state_dict_path=gs://apache-beam-ml/models/torchvision.detection.fasterrcnn_resnet50_fpn.pth
 --runner=DataflowRunner
 --experiments=use_runner_v2
+--timeout_ms=9000000
diff --git 
a/sdks/python/apache_beam/examples/inference/pytorch_image_captioning.py 
b/sdks/python/apache_beam/examples/inference/pytorch_image_captioning.py
index 63165492b4c..f871bc362ea 100644
--- a/sdks/python/apache_beam/examples/inference/pytorch_image_captioning.py
+++ b/sdks/python/apache_beam/examples/inference/pytorch_image_captioning.py
@@ -618,7 +618,7 @@ def run(
             method=method))
 
   result = pipeline.run()
-  result.wait_until_finish(duration=1800000)  # 30 min
+  result.wait_until_finish(duration=9000000)  # 150 min
   result.cancel()
   result.wait_until_finish(duration=600000)  # up to 10 min to settle cancel
 
diff --git 
a/sdks/python/apache_beam/examples/inference/pytorch_image_object_detection.py 
b/sdks/python/apache_beam/examples/inference/pytorch_image_object_detection.py
index 949fc48180f..eb870e3e95a 100644
--- 
a/sdks/python/apache_beam/examples/inference/pytorch_image_object_detection.py
+++ 
b/sdks/python/apache_beam/examples/inference/pytorch_image_object_detection.py
@@ -496,7 +496,7 @@ def run(
             method=method))
 
   result = pipeline.run()
-  result.wait_until_finish(duration=1800000)  # 30 min
+  result.wait_until_finish(duration=9000000)  # 150 min
   result.cancel()
   result.wait_until_finish(duration=600000)  # up to 10 min to settle cancel
 

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