xiaolewen

@davystrong For azure.ai.ml.load_job(), please use the yaml with this lines: args: >- --run_invocation_timeout 1800

@davystrong for the "Not sure why it says 60 there and only fails at 90 seconds", it is expected, Parallel Run Step run time has a default system overhead, which...

@davystrong , please upgrade the latest azure-ai-ml package and reference this [example](https://github.com/Azure/azureml-examples/blob/main/sdk/jobs/pipelines/1g_pipeline_with_parallel_nodes/pipeline_with_parallel_nodes.ipynb), and notes that add the --run_invocation_timeout 1800 to the "program_arguments".

`@timgabrhel` please reference https://github.com/Azure/azureml-examples/blob/sdk-preview/sdk/jobs/pipelines/1g_pipeline_with_parallel_nodes/pipeline_with_parallel_nodes.ipynb for how to set the arguments. you may need the extra permission to access this notebook. note that the PRS SDK V2 is under the private...

@vla6 sorry, this is a bug which happened a single mini-batch output size exceeds the 32KB, we have deployed the fix to production regions, please try submit job again and...

@jdecroos-N Thanks for the suggestions, The PR has been merged, https://github.com/Azure/azure-sdk-for-python/pull/32597 you can try it when it is released.