“0d0d76eb5be98d84af886297f22effcb4e26155c”上不存在“git@gitcode.net:Crayonxin2000/Paddle.git”
test_reverse_op.py 1.8 KB
Newer Older
F
fengjiayi 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67
# Copyright (c) 2018 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.

import unittest
import numpy as np
from op_test import OpTest


class TestReverseOp(OpTest):
    def initTestCase(self):
        self.x = np.random.random((3, 4)).astype('float32')
        self.axis = [0]

    def setUp(self):
        self.initTestCase()
        self.op_type = "reverse"
        self.inputs = {"X": self.x}
        self.attrs = {'axis': self.axis}
        out = self.x
        for a in self.axis:
            out = np.flip(out, axis=a)
        self.outputs = {'Out': out}

    def test_check_output(self):
        self.check_output()

    def test_check_grad(self):
        self.check_grad(['X'], 'Out')


class TestCase0(TestReverseOp):
    def initTestCase(self):
        self.x = np.random.random((3, 4)).astype('float32')
        self.axis = [1]


class TestCase1(TestReverseOp):
    def initTestCase(self):
        self.x = np.random.random((3, 4)).astype('float32')
        self.axis = [0, 1]


class TestCase2(TestReverseOp):
    def initTestCase(self):
        self.x = np.random.random((3, 4, 5)).astype('float32')
        self.axis = [0, 2]


class TestCase3(TestReverseOp):
    def initTestCase(self):
        self.x = np.random.random((3, 4, 5)).astype('float32')
        self.axis = [1, 2]


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