Add matches_jit_signature to recent native functions

Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/17805

Differential Revision: D14388004

Pulled By: cpuhrsch

fbshipit-source-id: c50580b6fe1e9cfefed91aaa526376325d9f9c0d
This commit is contained in:
Christian Puhrsch
2019-03-08 11:37:01 -08:00
committed by Facebook Github Bot
parent fe90ee9dc8
commit 11f50e73e3

View File

@ -1608,14 +1608,17 @@
CUDA: batch_norm_cuda
- func: batch_norm_stats(Tensor input, float eps) -> (Tensor, Tensor)
matches_jit_signature: True
dispatch:
CUDA: batch_norm_stats_cuda
- func: batch_norm_elemt(Tensor input, Tensor? weight, Tensor? bias, Tensor mean, Tensor invstd, float eps) -> Tensor
matches_jit_signature: True
dispatch:
CUDA: batch_norm_elemt_cuda
- func: batch_norm_gather_stats(Tensor input, Tensor mean, Tensor invstd, Tensor? running_mean, Tensor? running_var, float momentum, float eps, int count) -> (Tensor, Tensor)
matches_jit_signature: True
dispatch:
CUDA: batch_norm_gather_stats_cuda
@ -1626,10 +1629,12 @@
CUDA: batch_norm_backward_cuda
- func: batch_norm_backward_reduce(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, bool input_g, bool weight_g, bool bias_g) -> (Tensor, Tensor, Tensor, Tensor)
matches_jit_signature: True
dispatch:
CUDA: batch_norm_backward_reduce_cuda
- func: batch_norm_backward_elemt(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, Tensor? weight, Tensor mean_dy, Tensor mean_dy_xmu) -> Tensor
matches_jit_signature: True
dispatch:
CUDA: batch_norm_backward_elemt_cuda