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https://github.com/saymrwulf/onnxruntime.git
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60208463a9
* [NupharEP] Enable parallel schedule * Update TVM with the fix to TVM threadpool to use OpenMP if possible * Add parallel schedule when trying to vectorize With this change, BERT squad perf on a 4-core (8 HT) CPU goes from 187ms to 150ms * Address CR, docs and cmake update * Doc fix * Fix mkl * Fix TVM windows build when using mklml |
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| cub@c3cceac115 | ||
| date@e7e1482087 | ||
| DNNLibrary@647d4c3f4d | ||
| eigen@899973df98 | ||
| gemmlowp@42c53187a5 | ||
| googletest@9bda90b7e5 | ||
| grpc@02a2a458ac | ||
| mimalloc@e2202f6bbe | ||
| nsync@8f50e4463c | ||
| onnx@1facb4c1bb | ||
| onnx-tensorrt@bba4dee184 | ||
| protobuf@48cb18e5c4 | ||
| re2@30cad26715 | ||
| spdlog@352281313f | ||
| tvm@c6e3efcdb0 | ||
| wil@e8c599bca6 | ||
| dml.cmake | ||
| eigen.cmake | ||
| FindNumPy.cmake | ||
| jemalloc.cmake | ||
| mimalloc.cmake | ||
| mkldnn.cmake | ||
| ngraph.cmake | ||
| pybind11.cmake | ||
| zlib.cmake | ||