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Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 9 |
1 files changed, 6 insertions, 3 deletions
@@ -12,9 +12,9 @@ row-wise quantization and outlier-aware quantization. FBGEMM also exploits fusion opportunities in order to overcome the unique challenges of matrix multiplication at lower precision with bandwidth-bound operations. -FBGEMM is used as a backend of Caffe2 quantized operators for x86 machines -(https://github.com/pytorch/pytorch/tree/master/caffe2/quantization/server). -We also plan to integrate FBGEMM into PyTorch. +FBGEMM is used as a backend of Caffe2 and PyTorch quantized operators for x86 machines: +* Caffe2: https://github.com/pytorch/pytorch/tree/master/caffe2/quantization/server +* PyTorch: https://github.com/pytorch/pytorch/tree/master/aten/src/ATen/native/quantized/cpu ## Examples @@ -64,6 +64,9 @@ General build instructions are as follows: ``` git clone --recursive https://github.com/pytorch/FBGEMM.git cd FBGEMM +# if you are updating an existing checkout +git submodule sync +git submodule update --init --recursive mkdir build && cd build cmake .. make |