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115 lines
3.2 KiB
115 lines
3.2 KiB
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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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 print_function
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import unittest
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import numpy as np
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from op_test import OpTest
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import paddle.fluid as fluid
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from paddle.fluid import core
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class TestReverseOp(OpTest):
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def initTestCase(self):
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self.x = np.random.random((3, 40)).astype('float64')
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self.axis = [0]
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def setUp(self):
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self.initTestCase()
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self.op_type = "reverse"
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self.inputs = {"X": self.x}
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self.attrs = {'axis': self.axis}
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out = self.x
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for a in self.axis:
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out = np.flip(out, axis=a)
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self.outputs = {'Out': out}
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def test_check_output(self):
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self.check_output()
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def test_check_grad(self):
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self.check_grad(['X'], 'Out')
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class TestCase0(TestReverseOp):
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def initTestCase(self):
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self.x = np.random.random((3, 40)).astype('float64')
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self.axis = [1]
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class TestCase0_neg(TestReverseOp):
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def initTestCase(self):
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self.x = np.random.random((3, 40)).astype('float64')
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self.axis = [-1]
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class TestCase1(TestReverseOp):
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def initTestCase(self):
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self.x = np.random.random((3, 40)).astype('float64')
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self.axis = [0, 1]
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class TestCase1_neg(TestReverseOp):
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def initTestCase(self):
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self.x = np.random.random((3, 40)).astype('float64')
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self.axis = [0, -1]
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class TestCase2(TestReverseOp):
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def initTestCase(self):
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self.x = np.random.random((3, 4, 10)).astype('float64')
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self.axis = [0, 2]
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class TestCase2_neg(TestReverseOp):
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def initTestCase(self):
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self.x = np.random.random((3, 4, 10)).astype('float64')
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self.axis = [0, -2]
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class TestCase3(TestReverseOp):
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def initTestCase(self):
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self.x = np.random.random((3, 4, 10)).astype('float64')
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self.axis = [1, 2]
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class TestCase3_neg(TestReverseOp):
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def initTestCase(self):
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self.x = np.random.random((3, 4, 10)).astype('float64')
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self.axis = [-1, -2]
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class TestCase4(unittest.TestCase):
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def test_error(self):
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place = fluid.CPUPlace()
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exe = fluid.Executor(place)
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train_program = fluid.Program()
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startup_program = fluid.Program()
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with fluid.program_guard(train_program, startup_program):
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label = fluid.layers.data(
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name="label", shape=[1, 1, 1, 1, 1, 1, 1, 1], dtype="int64")
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rev = fluid.layers.reverse(label, axis=[-1, -2])
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def _run_program():
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x = np.random.random(size=(10, 1, 1, 1, 1, 1, 1)).astype('int64')
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exe.run(train_program, feed={"label": x})
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self.assertRaises(core.EnforceNotMet, _run_program)
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if __name__ == '__main__':
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unittest.main()
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