Caenorst opened a new pull request #14040: Reformat of TensorRT to use subgraph API URL: https://github.com/apache/incubator-mxnet/pull/14040 ## Description ## This PR modify TensorRT usage by relying on the Subgraph API, the backend is named 'TensorRT' ## Checklist ## ### Essentials ### Please feel free to remove inapplicable items for your PR. - [x] Changes are complete (i.e. I finished coding on this PR) - [x] All changes have test coverage: - [ ] Code is well-documented: - Need an update in documentation for general use cases - For user-facing API changes, API doc string has been updated. - For new C++ functions in header files, their functionalities and arguments are documented. - [ ] To the best of my knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change ### Changes ### - TensorRT now just rely on the Subgraph API, and a contrib function for loading weights - Add FP16 support, computation in FP16 forced by default - Graph partitioning have changed so if the same input of a subgraph is used multiple times in the subgraph then it stay as a single node in the subgraph ## Comments ## - Now that it's using the Subgraph API, you can use TensorRT with both module API and symbolic API - The way weights are loaded in the TensorRT node is a little bit dirty, we will do a follow up PR (including one on NNVM) to natively have a node attributes own subgraph parameters including a setter on the c api
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