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89 lines
3.1 KiB
89 lines
3.1 KiB
4 years ago
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# 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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import paddle
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from paddle.static import Program, program_guard
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DELTA = 1e-6
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class TestMedian(unittest.TestCase):
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def check_numpy_res(self, np1, np2):
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self.assertEqual(np1.shape, np2.shape)
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mismatch = np.sum((np1 - np2) * (np1 - np2))
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self.assertAlmostEqual(mismatch, 0, DELTA)
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def static_single_test_median(self, lis_test):
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paddle.enable_static()
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x, axis, keepdims = lis_test
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res_np = np.median(x, axis=axis, keepdims=keepdims)
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if not isinstance(res_np, np.ndarray):
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res_np = np.array([res_np])
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main_program = Program()
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startup_program = Program()
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exe = paddle.static.Executor()
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with program_guard(main_program, startup_program):
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x_in = paddle.fluid.data(shape=x.shape, dtype=x.dtype, name='x')
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y = paddle.median(x_in, axis, keepdims)
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[res_pd] = exe.run(feed={'x': x}, fetch_list=[y])
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self.check_numpy_res(res_pd, res_np)
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paddle.disable_static()
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def dygraph_single_test_median(self, lis_test):
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x, axis, keepdims = lis_test
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res_np = np.median(x, axis=axis, keepdims=keepdims)
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if not isinstance(res_np, np.ndarray):
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res_np = np.array([res_np])
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res_pd = paddle.median(paddle.to_tensor(x), axis, keepdims)
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self.check_numpy_res(res_pd.numpy(), res_np)
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def test_median_static(self):
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h = 3
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w = 4
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l = 2
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x = np.arange(h * w * l).reshape([h, w, l])
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lis_tests = [[x, axis, keepdims]
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for axis in [-1, 0, 1, 2, None]
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for keepdims in [False, True]]
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for lis_test in lis_tests:
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self.static_single_test_median(lis_test)
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def test_median_dygraph(self):
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paddle.disable_static()
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h = 3
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w = 4
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l = 2
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x = np.arange(h * w * l).reshape([h, w, l])
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lis_tests = [[x, axis, keepdims]
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for axis in [-1, 0, 1, 2, None]
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for keepdims in [False, True]]
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for lis_test in lis_tests:
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self.dygraph_single_test_median(lis_test)
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def test_median_exception(self):
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paddle.disable_static()
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x = [1, 2, 3, 4]
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self.assertRaises(TypeError, paddle.median, x)
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x = paddle.arange(12).reshape([3, 4])
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self.assertRaises(ValueError, paddle.median, x, 1.0)
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self.assertRaises(ValueError, paddle.median, x, 2)
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if __name__ == '__main__':
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unittest.main()
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