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93 lines
3.4 KiB
93 lines
3.4 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
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import paddle.fluid.core as core
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from paddle.fluid.op import Operator
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import paddle.fluid as fluid
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import numpy as np
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class ApiOnesTest(unittest.TestCase):
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def test_paddle_ones(self):
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with paddle.static.program_guard(paddle.static.Program()):
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ones = paddle.ones(shape=[10])
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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result, = exe.run(fetch_list=[ones])
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expected_result = np.ones(10, dtype="float32")
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self.assertEqual((result == expected_result).all(), True)
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with paddle.static.program_guard(paddle.static.Program()):
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ones = paddle.ones(shape=[10], dtype="float64")
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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result, = exe.run(fetch_list=[ones])
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expected_result = np.ones(10, dtype="float64")
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self.assertEqual((result == expected_result).all(), True)
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with paddle.static.program_guard(paddle.static.Program()):
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ones = paddle.ones(shape=[10], dtype="int64")
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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result, = exe.run(fetch_list=[ones])
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expected_result = np.ones(10, dtype="int64")
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self.assertEqual((result == expected_result).all(), True)
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def test_fluid_ones(self):
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with paddle.static.program_guard(paddle.static.Program()):
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ones = fluid.layers.ones(shape=[10], dtype="int64")
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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result, = exe.run(fetch_list=[ones])
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expected_result = np.ones(10, dtype="int64")
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self.assertEqual((result == expected_result).all(), True)
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class ApiOnesZerosError(unittest.TestCase):
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def test_errors(self):
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def test_error1():
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with paddle.static.program_guard(paddle.static.Program()):
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ones = paddle.ones(shape=10, dtype="int64")
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self.assertRaises(TypeError, test_error1)
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def test_error2():
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with paddle.static.program_guard(paddle.static.Program()):
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ones = paddle.ones(shape=10)
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self.assertRaises(TypeError, test_error2)
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def test_error3():
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with paddle.static.program_guard(paddle.static.Program()):
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ones = fluid.layers.ones(shape=10, dtype="int64")
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self.assertRaises(TypeError, test_error3)
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def test_error4():
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with paddle.static.program_guard(paddle.static.Program()):
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ones = fluid.layers.ones(shape=[10], dtype="int8")
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self.assertRaises(TypeError, test_error4)
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if __name__ == "__main__":
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unittest.main()
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