39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
|
#copyright (c) 2019 PaddlePaddle Authors. All Rights Reserve.
|
||
|
|
#
|
||
|
|
#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.
|
||
|
|
|
||
|
|
from __future__ import absolute_import
|
||
|
|
from __future__ import division
|
||
|
|
from __future__ import print_function
|
||
|
|
|
||
|
|
import math
|
||
|
|
|
||
|
|
import paddle
|
||
|
|
import paddle.fluid as fluid
|
||
|
|
from paddle.fluid.param_attr import ParamAttr
|
||
|
|
import numpy as np
|
||
|
|
|
||
|
|
|
||
|
|
class AttentionLoss(object):
|
||
|
|
def __init__(self, params):
|
||
|
|
super(AttentionLoss, self).__init__()
|
||
|
|
self.char_num = params['char_num']
|
||
|
|
|
||
|
|
def __call__(self, predicts, labels):
|
||
|
|
predict = predicts['predict']
|
||
|
|
label_out = labels['label_out']
|
||
|
|
label_out = fluid.layers.cast(x=label_out, dtype='int64')
|
||
|
|
cost = fluid.layers.cross_entropy(input=predict, label=label_out)
|
||
|
|
sum_cost = fluid.layers.reduce_sum(cost)
|
||
|
|
return sum_cost
|