nn.Transformer (#20170)
Summary:
Accidentally rebased the old PR and make it too messy. Find it here (https://github.com/pytorch/pytorch/pull/19274)
Create a PR for comments. The model is still WIP but I want to have some feedbacks before moving too far. The transformer model depends on several modules, like MultiheadAttention (landed).
Transformer is implemented based on the paper (https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf). Users have the flexibility to build a transformer with self-defined and/or built-in components (i.e encoder, decoder, encoder_layer, decoder_layer). Users could use Transformer class to build a standard transformer model and modify sub-layers as needed.
Add a few unit tests for the transformer module, as follow:
TestNN.test_Transformer_cell
TestNN.test_transformerencoderlayer
TestNN.test_transformerdecoderlayer
TestNN.test_transformer_args_check
TestScript.test_scriptmodule_transformer_cuda
There is another demonstration example for applying transformer module on the word language problem. https://github.com/pytorch/examples/pull/555
Pull Request resolved: https://github.com/pytorch/pytorch/pull/20170
Differential Revision: D15417983
Pulled By: zhangguanheng66
fbshipit-source-id: 7ce771a7e27715acd9a23d60bf44917a90d1d572
