[TensorRT EP] Weightless API integration #20412
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This PR includes the weight-stripped engine feature (thanks @moraxu for the #20214) which is the major feature for TRT 10 integration. Two TRT EP options are added: - `trt_weight_stripped_engine_enable`: Enable weight-stripped engine build and refit. - `trt_onnx_model_folder_path`: In the quick load case using embedded engine model / EPContext mode, the original onnx filename is in the node's attribute, and this option specifies the directory of that onnx file if needed. Normal weight-stripped engine workflow:  Weight-stripped engine and quick load workflow:  see the doc [here ](https://onnxruntime.ai/docs/execution-providers/TensorRT-ExecutionProvider.html#tensorrt-ep-caches)for more information about EPContext model. --------- Co-authored-by: yf711 <[email protected]> Co-authored-by: Ye Wang <[email protected]> Co-authored-by: Michal Guzek <[email protected]> Co-authored-by: pengwa <[email protected]> Co-authored-by: wejoncy <[email protected]> Co-authored-by: Yi Zhang <[email protected]> Co-authored-by: Yi Zhang <[email protected]> Co-authored-by: Pranav Sharma <[email protected]> Co-authored-by: Adam Pocock <[email protected]> Co-authored-by: cao lei <[email protected]> Co-authored-by: Adrian Lizarraga <[email protected]> Co-authored-by: inisis <[email protected]> Co-authored-by: Jeff Bloomfield <[email protected]> Co-authored-by: mo-ja <[email protected]> Co-authored-by: kunal-vaishnavi <[email protected]> Co-authored-by: Sumit Agarwal <[email protected]> Co-authored-by: Atanas Dimitrov <[email protected]> Co-authored-by: Justin Chu <[email protected]> Co-authored-by: Yufeng Li <[email protected]> Co-authored-by: Dhruv Matani <[email protected]> Co-authored-by: Dhruv Matani <[email protected]> Co-authored-by: wangshuai09 <[email protected]> Co-authored-by: Xiaoyu <[email protected]> Co-authored-by: Xu Xing <[email protected]> Co-authored-by: Dmitri Smirnov <[email protected]> Co-authored-by: Rachel Guo <[email protected]> Co-authored-by: Sai Kishan Pampana <[email protected]> Co-authored-by: rachguo <[email protected]> Co-authored-by: Jian Chen <[email protected]> Co-authored-by: Shubham Bhokare <[email protected]> Co-authored-by: Yulong Wang <[email protected]> Co-authored-by: Andrew Fantino <[email protected]> Co-authored-by: Thomas Boby <[email protected]> Co-authored-by: Tianlei Wu <[email protected]> Co-authored-by: Scott McKay <[email protected]> Co-authored-by: Michal Guzek <[email protected]> Co-authored-by: George Wu <[email protected]>
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This PR includes the weight-stripped engine feature (thanks @moraxu for the #20214) which is the major feature for TRT 10 integration.
Two TRT EP options are added:
trt_weight_stripped_engine_enable: Enable weight-stripped engine build and refit.trt_onnx_model_folder_path: In the quick load case using embedded engine model / EPContext mode, the original onnx filename is in the node's attribute, and this option specifies the directory of that onnx file if needed.Normal weight-stripped engine workflow:
Weight-stripped engine and quick load workflow:
see the doc here for more information about EPContext model.