37 lines
1.2 KiB
Python
37 lines
1.2 KiB
Python
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#copyright (c) 2019 PaddlePaddle Authors. All Rights Reserve.
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#
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#Licensed under the Apache License, Version 2.0 (the "License");
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#you may not use this file except in compliance with the License.
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#You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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#Unless required by applicable law or agreed to in writing, software
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#distributed under the License is distributed on an "AS IS" BASIS,
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#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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#See the License for the specific language governing permissions and
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#limitations under the License.
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import math
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import paddle
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import paddle.fluid as fluid
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class CTCLoss(object):
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def __init__(self, params):
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super(CTCLoss, self).__init__()
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self.char_num = params['char_num']
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def __call__(self, predicts, labels):
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predict = predicts['predict']
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label = labels['label']
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cost = fluid.layers.warpctc(
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input=predict, label=label, blank=self.char_num, norm_by_times=True)
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sum_cost = fluid.layers.reduce_sum(cost)
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return sum_cost
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