From 9f2dbc4b5ab45eff990a3c3a6a21664798fe3680 Mon Sep 17 00:00:00 2001 From: Kavya Srinet Date: Tue, 14 Nov 2017 10:11:18 -0800 Subject: [PATCH] pushing after a pull --- doc/design/ops/sequence_decoder.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/design/ops/sequence_decoder.md b/doc/design/ops/sequence_decoder.md index bb945ae48be..9db5fb8e9a9 100644 --- a/doc/design/ops/sequence_decoder.md +++ b/doc/design/ops/sequence_decoder.md @@ -154,7 +154,7 @@ In this way, users can customize anything on the input or output of beam search, 2. Remove some specific candidate in `selected_ids`. 3. Get the final `translation_ids`, remove the translation sequence in it. -The implementation of sequence decoder can reuse the C++ class [RNNAlgorithm](https://github.com/Superjom/Paddle/blob/68cac3c0f8451fe62a4cdf156747d6dc0ee000b3/paddle/operators/dynamic_recurrent_op.h#L30), +The implementation of sequence decoder can reuse the C++ class: [RNNAlgorithm](https://github.com/Superjom/Paddle/blob/68cac3c0f8451fe62a4cdf156747d6dc0ee000b3/paddle/operators/dynamic_recurrent_op.h#L30), so the python syntax is quite similar to that of an [RNN](https://github.com/Superjom/Paddle/blob/68cac3c0f8451fe62a4cdf156747d6dc0ee000b3/doc/design/block.md#blocks-with-for-and-rnnop). Both of them are two-level `LoDTensors`: -- GitLab