# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. def sequence_mask(seq_ids, valid_lengths): """ To boost the performance, this sequence_mask is different with paddle.nn.functional.sequence_mask Args: seq_ids (Tensor): The whole sequence index, a tensor with a shape of [batch_size, sequence_length]. valid_lengths (Tensor): The valid length of every sequence, a tensor with a shape of [batch_size]. Returns: Tensor: Returns the output sequence mask `mask`. Its dtype is `bool` and has a shape of [batch_size, sequence_length]. """ lengths_exp = valid_lengths.unsqueeze(1) mask = seq_ids < lengths_exp return mask