#   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.
"""
softmax loss
"""

import sys
sys.path.append("../")
import paddle.fluid as fluid
from hapi.model import Loss
'''
class SoftmaxCrossEntropyLoss(Loss):
    def __init__(self,conf_dict):
        super(SoftmaxCrossEntropyLoss,self).__init__()

    def forward(self,input,label):
        cost=fluid.layers.cross_entropy(input=input,label=label)
        avg_cost=fluid.layers.reduce_mean(cost)
        return avg_cost
'''


class SoftmaxCrossEntropyLoss(Loss):
    def __init__(self, conf_dict, average=True):
        super(SoftmaxCrossEntropyLoss, self).__init__()

    def forward(self, outputs, labels):
        return [
            fluid.layers.cross_entropy(o, l) for o, l in zip(outputs, labels)
        ]