test_rank_loss_op.py 1.6 KB
Newer Older
1
#   Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
D
dzhwinter 已提交
2
#
D
dzhwinter 已提交
3 4 5
# 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
D
dzhwinter 已提交
6
#
D
dzhwinter 已提交
7
#     http://www.apache.org/licenses/LICENSE-2.0
D
dzhwinter 已提交
8
#
D
dzhwinter 已提交
9 10 11 12 13 14
# 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.

Y
Yibing Liu 已提交
15 16 17 18 19
import unittest
import numpy as np
from op_test import OpTest


Y
Yibing Liu 已提交
20
class TestRankLossOp(OpTest):
Y
Yibing Liu 已提交
21 22
    def setUp(self):
        self.op_type = "rank_loss"
Y
Yibing Liu 已提交
23 24
        batch_size = 5
        # labels_{i} = {0, 1.0} or {0, 0.5, 1.0}
25 26 27
        label = np.random.randint(0, 2, size=(batch_size, 1)).astype("float32")
        left = np.random.random((batch_size, 1)).astype("float32")
        right = np.random.random((batch_size, 1)).astype("float32")
Y
Yibing Liu 已提交
28 29 30
        loss = np.log(1.0 + np.exp(left - right)) - label * (left - right)
        self.inputs = {'Label': label, 'Left': left, 'Right': right}
        self.outputs = {'Out': loss}
Y
Yibing Liu 已提交
31 32 33 34 35

    def test_check_output(self):
        self.check_output()

    def test_check_grad(self):
Y
Yibing Liu 已提交
36 37 38 39 40 41 42
        self.check_grad(["Left", "Right"], "Out")

    def test_check_grad_ignore_left(self):
        self.check_grad(["Right"], "Out", no_grad_set=set('Left'))

    def test_check_grad_ignore_right(self):
        self.check_grad(["Left"], "Out", no_grad_set=set('Right'))
Y
Yibing Liu 已提交
43 44 45 46


if __name__ == '__main__':
    unittest.main()