[TensorRT EP] support user_compute_stream in python API #20168
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yf711
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jywu-msft
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Apr 12, 2024
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merge latest main to get Big Models pipelines to pass. |
jywu-msft
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Apr 16, 2024
TedThemistokleous
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May 7, 2024
) ### Description <!-- Describe your changes. --> * Implement `user_compute_stream` python api for TensorRT EP * Using this option will implicitly set `has_user_compute_stream` as `true` * Extend existing TRTEP unit test to verify `user_compute_stream` option * This has been verified in local pytorch env, with `torch.cuda.Stream()` passing into `user_compute_stream`: ```python ... # Before inference if torch.cuda.is_available(): s = torch.cuda.Stream() option = {"user_compute_stream": str(s.cuda_stream)} sess.set_providers(["TensorrtExecutionProvider"], [option]) options = sess.get_provider_options() assert "TensorrtExecutionProvider" in options assert options["TensorrtExecutionProvider"].get("user_compute_stream", "") == str(s.cuda_stream) assert options["TensorrtExecutionProvider"].get("has_user_compute_stream", "") == "1" ... ``` ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Align with existing `user_compute_stream` python implementations for [CUDA EP](https://github.com/microsoft/onnxruntime/pull/19229)/[ROCm EP](microsoft#19619)
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Description
user_compute_streampython api for TensorRT EPhas_user_compute_streamastrueuser_compute_streamoptiontorch.cuda.Stream()passing intouser_compute_stream:Motivation and Context
Align with existing
user_compute_streampython implementations for CUDA EP/ROCm EP