Source code for deeppavlov.models.preprocessors.mask

# Copyright 2017 Neural Networks and Deep Learning lab, MIPT
#
# 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
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# 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
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from deeppavlov.core.models.component import Component
from deeppavlov.core.common.registry import register
import numpy as np


[docs]@register('mask') class Mask(Component): """Takes batch of tokens and returns the masks of corresponding length""" def __init__(self, *args, **kwargs): pass @staticmethod def __call__(tokens_batch, **kwargs): batch_size = len(tokens_batch) max_len = max(len(utt) for utt in tokens_batch) mask = np.zeros([batch_size, max_len], dtype=np.float32) for n, utterance in enumerate(tokens_batch): mask[n, :len(utterance)] = 1 return mask