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Update TensorRT parser (#3650)
* update onnx-tensorrt submodule * add more model dumping point * update trt kernel name and docker readme file * fix minior issues * fix format issue * update onnx-tensorrt submodule Co-authored-by: stevenlix <stevenlix>
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3 changed files with 9 additions and 3 deletions
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cmake/external/onnx-tensorrt
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cmake/external/onnx-tensorrt
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@ -1 +1 @@
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Subproject commit 8b8b89d18423cae7bb8a6a95ea346dd49a4dccc0
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Subproject commit 177a2e470ca28433b8d8ca30e44f79b373f2407e
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@ -80,7 +80,7 @@ Use `docker pull` with any of the images and tags below to pull an image and try
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```
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## TensorRT
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**Ubuntu 18.04, CUDA 10.1.243, TensorRT 6.0.1**
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**Ubuntu 18.04, CUDA 10.2, TensorRT 7.0.0**
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1. Build the docker image from the Dockerfile in this repository.
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```
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@ -335,7 +335,7 @@ std::unique_ptr<IndexedSubGraph> TensorrtExecutionProvider::GetSubGraph(SubGraph
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// Assign inputs and outputs to subgraph's meta_def
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auto meta_def = onnxruntime::make_unique<::onnxruntime::IndexedSubGraph::MetaDef>();
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meta_def->name = "TRTKernel_" + std::to_string(kernels_index++);
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meta_def->name = "TRTKernel_" + graph.Name() + "_" + std::to_string(kernels_index++);
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meta_def->domain = kMSDomain;
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for (const auto& input : inputs) {
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@ -454,6 +454,12 @@ SubGraphCollection_t TensorrtExecutionProvider::GetSupportedList(SubGraphCollect
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std::string string_buf;
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model_proto.SerializeToString(&string_buf);
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if (dump_subgraphs_) {
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// Dump TensorRT subgraph for debugging if enabled via ORT_TENSORRT_DUMP_SUBGRAPHS env variable.
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std::fstream dump("TensorrtExecutionProvider_TRT_Subgraph.onnx", std::ios::out | std::ios::trunc | std::ios::binary);
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model_proto.SerializeToOstream(&dump);
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}
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// Get supported node list recursively
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SubGraphCollection_t parser_nodes_list;
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TensorrtLogger& trt_logger = GetTensorrtLogger();
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