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3 commits

Author SHA1 Message Date
Will Feng
d04973beda Use c10::variant-based enums for EmbeddingBag mode (#28330) 
Summary:
This PR is BC-breaking in the following way:

Previous, we require the use of `std::string` to specify the mode for `EmbeddingBag`. After this PR, we use variant-based enums such as `torch::kSum` / `torch::kMean` / `torch::kMax` to specify the mode for `EmbeddingBag`.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/28330

Differential Revision: D18127116

Pulled By: yf225

fbshipit-source-id: 15cd86c764777f4d399587be92cda15b6ce8524b
 2019-10-24 17:47:42 -07:00
Will Feng
079b3cc02c Add C++ nn::functional pad 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/26601

Test Plan: Imported from OSS

Differential Revision: D17517468

Pulled By: yf225

fbshipit-source-id: 9ee8b93b88a60f91f2ae78c242f9eaa246b3293c
 2019-10-21 22:20:38 -07:00
Will Feng
aad5071206 Use torch::variant for enums in C++ API 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/26837

Test Plan: Imported from OSS

Differential Revision: D17579438

Pulled By: yf225

fbshipit-source-id: 9ac59df28a317fdb3be2cc02c65962ad99117127
 2019-10-16 22:40:57 -07:00