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86b86202b5
Fixes https://github.com/pytorch/pytorch/issues/74949, which reports that torch.config can't respect USE_MKLDNN flag. Pull Request resolved: https://github.com/pytorch/pytorch/pull/75001 Approved by: https://github.com/malfet |
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| cuda_rtc | ||
| db | ||
| distributed | ||
| experiments | ||
| ideep | ||
| image | ||
| mobile | ||
| mpi | ||
| observers | ||
| onnx | ||
| operators | ||
| opt | ||
| perfkernels | ||
| predictor | ||
| proto | ||
| python | ||
| quantization | ||
| queue | ||
| serialize | ||
| sgd | ||
| share | ||
| test | ||
| transforms | ||
| utils | ||
| video | ||
| .clang-format | ||
| __init__.py | ||
| BUILD_MODE.bzl | ||
| CMakeLists.txt | ||
| defs.bzl | ||
| defs_hip.bzl | ||
| README.md | ||
| release-notes.md | ||
| requirements.txt | ||
| unexported_symbols.lds | ||
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Caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind.
Questions and Feedback
Please use GitHub issues (https://github.com/pytorch/pytorch/issues) to ask questions, report bugs, and request new features.