Divyansh Singhvi ec52d911bd InstanceNorm{1,2,3}d (#28790) ... Summary: Hi yf225, I have a few doubts related to implementation: 1) What tests do I have to write? 2) What does _load_state_from_dict does? 3) Do I need to override reset() function as I can not see it's utility? 4) InstanceNormOptions could be removed with BatchNormOptions, but I find that `track_running_status` is not defined instead `stateful` is defined. InstanceNorm{1,2,3}d https://github.com/pytorch/pytorch/issues/25883 Pull Request resolved: https://github.com/pytorch/pytorch/pull/28790 Differential Revision: D18588666 Pulled By: yf225 fbshipit-source-id: bb9b81f01f62c3fc8765fa0ba0716768087ee155		2019-11-19 16:57:01 -08:00
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api	InstanceNorm{1,2,3}d (#28790)	2019-11-19 16:57:01 -08:00
common
dist_autograd	Use std::shared_ptr for DistAutogradContext. (#29770)	2019-11-19 15:50:42 -08:00
jit	Mobile module forward() pass input by value. (#30060)	2019-11-18 22:33:38 -08:00
__init__.py