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android_fbgemm_off
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3 Commits

Author SHA1 Message Date
Sungmann Cho
f59581218f Fix spelling errors (#21665) 
Summary:
alloctor -> allocator
excutable -> executable
excution -> execution
foward -> forward
initiaize -> initialize
paralell -> parallel
preprocesor -> preprocessor
tranpose -> transpose
Pull Request resolved: https://github.com/pytorch/pytorch/pull/21665

Differential Revision: D15806155

Pulled By: soumith

fbshipit-source-id: d92b21ec8650a2b32f05faf9af0b7d2b073e992c
 2019-06-13 15:21:55 -07:00
Natalia Gimelshein
3875e1ba45 try to make at::cat in mm_tree_reduction operate on contig tensors (#18816) 
Summary:
Sometimes at::cat gets transposed inputs and goes on a slow path. Also, make jit_premul lstm benchmark add bias to the whole input tensor to avoid separate reduction kernels in the backward pass.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/18816

Differential Revision: D15013576

Pulled By: wanchaol

fbshipit-source-id: bcfa1cf44180b11b05b0f55f034707012f66281a
 2019-04-24 23:44:25 -07:00
Wanchao Liang
6684ef3f23 Move fast rnn benchmark to pytorch/pytorch 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/18369

Differential Revision: D14652039

Pulled By: wanchaol

fbshipit-source-id: 1177b1f60d96672c3e2c9d527b56ee06ca7c0af1
 2019-03-27 14:46:09 -07:00