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90 lines
3.5 KiB
90 lines
3.5 KiB
# Copyright (c) 2020 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 as fluid
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from paddle.fluid import Program, program_guard
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class TestNonZeroAPI(unittest.TestCase):
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def test_nonzero_api_as_tuple(self):
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data = np.array([[True, False], [False, True]])
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with program_guard(Program(), Program()):
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x = fluid.layers.data(name='x', shape=[-1, 2])
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y = paddle.nonzero(x, as_tuple=True)
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self.assertEqual(type(y), tuple)
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self.assertEqual(len(y), 2)
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z = fluid.layers.concat(list(y), axis=1)
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exe = fluid.Executor(fluid.CPUPlace())
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res, = exe.run(feed={'x': data},
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fetch_list=[z.name],
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return_numpy=False)
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expect_out = np.array([[0, 0], [1, 1]])
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self.assertTrue(np.allclose(expect_out, np.array(res)))
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data = np.array([True, True, False])
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with program_guard(Program(), Program()):
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x = fluid.layers.data(name='x', shape=[-1])
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y = paddle.nonzero(x, as_tuple=True)
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self.assertEqual(type(y), tuple)
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self.assertEqual(len(y), 1)
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z = fluid.layers.concat(list(y), axis=1)
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exe = fluid.Executor(fluid.CPUPlace())
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res, = exe.run(feed={'x': data},
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fetch_list=[z.name],
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return_numpy=False)
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expect_out = np.array([[0], [1]])
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self.assertTrue(np.allclose(expect_out, np.array(res)))
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def test_nonzero_api(self):
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data = np.array([[True, False], [False, True]])
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with program_guard(Program(), Program()):
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x = fluid.layers.data(name='x', shape=[-1, 2])
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y = paddle.nonzero(x)
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exe = fluid.Executor(fluid.CPUPlace())
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res, = exe.run(feed={'x': data},
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fetch_list=[y.name],
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return_numpy=False)
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expect_out = np.array([[0, 0], [1, 1]])
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self.assertTrue(np.allclose(expect_out, np.array(res)))
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data = np.array([True, True, False])
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with program_guard(Program(), Program()):
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x = fluid.layers.data(name='x', shape=[-1])
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y = paddle.nonzero(x)
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exe = fluid.Executor(fluid.CPUPlace())
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res, = exe.run(feed={'x': data},
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fetch_list=[y.name],
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return_numpy=False)
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expect_out = np.array([[0], [1]])
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self.assertTrue(np.allclose(expect_out, np.array(res)))
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def test_dygraph_api(self):
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data_x = np.array([[True, False], [False, True]])
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with fluid.dygraph.guard():
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x = fluid.dygraph.to_variable(data_x)
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z = paddle.nonzero(x)
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np_z = z.numpy()
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expect_out = np.array([[0, 0], [1, 1]])
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if __name__ == "__main__":
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unittest.main()
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