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https://github.com/saymrwulf/onnxruntime.git
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c9240f4e93
* Implement Nuphar execution provider Nuphar execution provider is a TVM-based compilation provider. It has shown great speedups for RNN models using Scan. This PR is mainly for a preview of the shared codegen library for other TVM-based providers. * Fix submodules * Fix TVM submodule * Update Nuphar to latest and resolve confliction * Remove stale files caused by merge -X theirs * Revert heap buffer change to not introduce onnxruntime_framework into onnxruntime_perf_test * Fix bad merge * Merge from Nuphar * Fix warning treated as error, revert some unnecessary changes * Revert some more test changes * Some more test revert or comments to make review easier New tests could be added later * One more revert of unnecessary changes * More change revert. Test could be added back later. |
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| .. | ||
| date@e7e1482087 | ||
| DNNLibrary@ab22710a3f | ||
| eigen@1456fe2fac | ||
| gemmlowp@42c53187a5 | ||
| googletest@9bda90b7e5 | ||
| grpc@02a2a458ac | ||
| gsl@cee3125af7 | ||
| nsync@8f50e4463c | ||
| onnx@7d90796473 | ||
| onnx-tensorrt@6c37109733 | ||
| protobuf@48cb18e5c4 | ||
| re2@30cad26715 | ||
| spdlog@352281313f | ||
| tvm@b4bff71f36 | ||
| eigen.cmake | ||
| FindNumPy.cmake | ||
| jemalloc.cmake | ||
| mkldnn.cmake | ||
| ngraph.cmake | ||
| openvino.cmake | ||
| pybind11.cmake | ||
| zlib.cmake | ||