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Refactor TensorRT EP code to better handle dynamic shape subgraphs #4504
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e23ca70
build engine in runtime for dynamic shape subgraphs
stevenlix 195b6ab
Update TensorRT-ExecutionProvider.md
stevenlix 46d1298
Update TensorRT-ExecutionProvider.md
stevenlix b470ddb
fix build issue
stevenlix 95041ea
Add more instructions on how to use engine caching
stevenlix 9a52a5d
add precision to trt node name
stevenlix d715f0f
Merge branch 'master' into stevenlix/trt70
stevenlix 3787d0a
Update tensorrt_execution_provider.cc
stevenlix 1fd3874
Update tensorrt_execution_provider.cc
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I think we need some more documentation on the engine caching. (why it needed, how does it work,
when would you use it, and what are some of the pitfalls and limitations.
examples might be
-if you enabled fp16 and serialized engines, you need to enable fp16 when deploying/running it.
-engines are built specifically for the underlying hardware and aren't portable.
-caveats about input shape changes.
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Good point. I've added more explanations in the doc.