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Summary: Bump oneDNN (mkl-dnn) to 1.7 for bug fixes and performance optimizations - Fixes https://github.com/pytorch/pytorch/issues/42115. Fixed build issue on Windows for the case when oneDNN is built as submodule - Fixes https://github.com/pytorch/pytorch/issues/45746. Fixed segmentation fault for convolution weight gradient on systems with Intel AVX512 support This PR also contains a few changes in ideep for follow-up update (not enabled in current PR yet): - Performance improvements for the CPU path of Convolution - Channel-last support Pull Request resolved: https://github.com/pytorch/pytorch/pull/47853 Reviewed By: bdhirsh Differential Revision: D25275268 Pulled By: VitalyFedyunin fbshipit-source-id: 75a589d57e3d19a7f23272a67045ad7494f1bdbe |
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| .. | ||
| benchmark@505be96ab2 | ||
| cpuinfo@ed8b86a253 | ||
| cub@d106ddb991 | ||
| eigen@d41dc4dd74 | ||
| fbgemm@9b0131179f | ||
| fmt@cd4af11efc | ||
| foxi@6a4e19a2aa | ||
| FP16@4dfe081cf6 | ||
| FXdiv@b408327ac2 | ||
| gemmlowp | ||
| gloo@3dc0328fe6 | ||
| googletest@2fe3bd994b | ||
| ideep@f0280bb805 | ||
| ios-cmake@8abaed637d | ||
| kineto@bf384310ea | ||
| miniz-2.0.8 | ||
| nccl | ||
| neon2sse@97a126f08c | ||
| NNPACK@24b55303f5 | ||
| onnx@54c38e6eaf | ||
| onnx-tensorrt@c153211418 | ||
| protobuf@d0bfd52211 | ||
| psimd@072586a71b | ||
| pthreadpool@fa75e65a58 | ||
| pybind11@a1cb7c23d3 | ||
| python-enum@4cfedc426c | ||
| python-peachpy@07d8fde8ac | ||
| python-six@15e31431af | ||
| QNNPACK@7d2a4e9931 | ||
| sleef@f66b143ae2 | ||
| tbb@a51a90bc60 | ||
| tensorpipe@82a114882e | ||
| valgrind-headers | ||
| XNNPACK@3cf9366ab0 | ||
| zstd@aec56a52fb | ||
| BUILD | ||
| cpuinfo.BUILD | ||
| eigen.BUILD | ||
| fmt.BUILD | ||
| foxi.BUILD | ||
| gloo.BUILD | ||
| ideep.BUILD | ||
| mkl-dnn.BUILD | ||
| mkl.BUILD | ||
| mkl_headers.BUILD | ||
| onnx.BUILD | ||
| README.md | ||
| sleef.BUILD | ||
| sleef.bzl | ||
| substitution.bzl | ||
| tbb.BUILD | ||
| tbb.patch | ||
| tensorpipe.BUILD | ||
This folder contains vendored copies of third-party libraries that we use.