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113 lines
3.6 KiB
113 lines
3.6 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 op_test
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import unittest
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import numpy as np
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import paddle
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import paddle.fluid as fluid
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from paddle.fluid import Program, program_guard
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def create_test_not_equal_class(op_type, typename, callback):
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class Cls(op_test.OpTest):
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def setUp(self):
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x = np.random.random(size=(10, 7)).astype(typename)
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y = np.random.random(size=(10, 7)).astype(typename)
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z = callback(x, y)
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self.inputs = {'X': x, 'Y': y}
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self.outputs = {'Out': z}
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self.op_type = op_type
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def test_output(self):
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self.check_output()
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cls_name = "{0}_{1}_{2}".format(op_type, typename, 'not_equal_all')
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Cls.__name__ = cls_name
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globals()[cls_name] = Cls
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def create_test_not_shape_equal_class(op_type, typename, callback):
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class Cls(op_test.OpTest):
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def setUp(self):
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x = np.random.random(size=(10, 7)).astype(typename)
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y = np.random.random(size=(10)).astype(typename)
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z = callback(x, y)
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self.inputs = {'X': x, 'Y': y}
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self.outputs = {'Out': z}
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self.op_type = op_type
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def test_output(self):
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self.check_output()
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cls_name = "{0}_{1}_{2}".format(op_type, typename, 'not_shape_equal_all')
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Cls.__name__ = cls_name
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globals()[cls_name] = Cls
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def create_test_equal_class(op_type, typename, callback):
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class Cls(op_test.OpTest):
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def setUp(self):
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x = y = np.random.random(size=(10, 7)).astype(typename)
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z = callback(x, y)
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self.inputs = {'X': x, 'Y': y}
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self.outputs = {'Out': z}
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self.op_type = op_type
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def test_output(self):
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self.check_output()
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cls_name = "{0}_{1}_{2}".format(op_type, typename, 'equal_all')
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Cls.__name__ = cls_name
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globals()[cls_name] = Cls
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def create_test_dim1_class(op_type, typename, callback):
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class Cls(op_test.OpTest):
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def setUp(self):
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x = y = np.random.random(size=(1)).astype(typename)
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z = callback(x, y)
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self.inputs = {'X': x, 'Y': y}
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self.outputs = {'Out': z}
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self.op_type = op_type
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def test_output(self):
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self.check_output()
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cls_name = "{0}_{1}_{2}".format(op_type, typename, 'equal_all')
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Cls.__name__ = cls_name
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globals()[cls_name] = Cls
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np_equal = lambda _x, _y: np.array(np.array_equal(_x, _y))
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for _type_name in {'float32', 'float64', 'int32', 'int64'}:
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create_test_not_equal_class('equal_all', _type_name, np_equal)
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create_test_equal_class('equal_all', _type_name, np_equal)
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create_test_dim1_class('equal_all', _type_name, np_equal)
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class TestEqualReduceAPI(unittest.TestCase):
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def test_name(self):
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x = fluid.layers.assign(np.array([3, 4], dtype="int32"))
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y = fluid.layers.assign(np.array([3, 4], dtype="int32"))
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out = paddle.equal_all(x, y, name='equal_res')
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assert 'equal_res' in out.name
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if __name__ == '__main__':
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unittest.main()
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