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Simplify tensorrt building (#13851)
* Simplify tensorrt building * Use engine context cache
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@ -3,8 +3,6 @@
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# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
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ARG DEBIAN_FRONTEND=noninteractive
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ARG TRT_BASE=nvcr.io/nvidia/tensorrt:23.03-py3
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# Make this a separate target so it can be built/cached optionally
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FROM wheels as trt-wheels
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ARG DEBIAN_FRONTEND
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@ -15,7 +13,7 @@ COPY docker/tensorrt/requirements-amd64.txt /requirements-tensorrt.txt
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RUN mkdir -p /trt-wheels && pip3 wheel --wheel-dir=/trt-wheels -r /requirements-tensorrt.txt
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# Build CuDNN
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FROM ${TRT_BASE} AS cudnn-deps
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FROM wget AS cudnn-deps
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ARG COMPUTE_LEVEL
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@ -49,7 +49,9 @@ class ONNXDetector(DetectionApi):
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"trt_timing_cache_enable": True,
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"trt_timing_cache_path": "/config/model_cache/tensorrt/ort",
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"trt_engine_cache_enable": True,
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"trt_dump_ep_context_model": True,
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"trt_engine_cache_path": "/config/model_cache/tensorrt/ort/trt-engines",
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"trt_ep_context_file_path": "/config/model_cache/tensorrt/ort",
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}
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)
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elif provider == "OpenVINOExecutionProvider":
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