wehub-resource-sync
77 lines
2.4 KiB
Python
77 lines
2.4 KiB
Python
# Copyright (c) 2024 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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import unittest
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import numpy as np
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from op_test import get_device_place, is_custom_device
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import paddle
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class TestHistogramBinEdgesOp(unittest.TestCase):
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def setUp(self):
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self.x = np.random.randn(5, 20).astype('float32')
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self.bin = 10
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self.range = None
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self.out = np.histogram_bin_edges(
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self.x, bins=self.bin, range=self.range
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)
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def check_with_place(self, place):
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x_var = paddle.Tensor(self.x, place=place)
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out_var = paddle.histogram_bin_edges(
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x_var, bins=self.bin, min=self.range[0], max=self.range[1]
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)
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out = np.array(out_var)
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np.testing.assert_allclose(self.out, out, rtol=1e-5, atol=1e-5)
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def test_case(self):
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self.check_with_place(paddle.CPUPlace())
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if paddle.is_compiled_with_cuda() or is_custom_device():
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self.check_with_place(get_device_place())
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class TestHistogramBinEdgesOp(TestHistogramBinEdgesOp):
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def setUp(self):
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self.x = np.random.randn(5, 20).astype('float32')
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self.bin = 10
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self.range = (0, 1)
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self.out = np.histogram_bin_edges(
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self.x, bins=self.bin, range=self.range
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)
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class TestHistogramBinEdgesOpTest1(TestHistogramBinEdgesOp):
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def setUp(self):
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self.x = np.random.randn(5, 20).astype('float32')
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self.bin = 10
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self.range = (1, 1)
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self.out = np.histogram_bin_edges(
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self.x, bins=self.bin, range=self.range
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)
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class TestHistogramBinEdgesOpTest2(TestHistogramBinEdgesOp):
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def setUp(self):
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self.x = np.random.randn(5, 20).astype('float32')
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self.bin = 10
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self.range = (0.2, 0.9)
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self.out = np.histogram_bin_edges(
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self.x, bins=self.bin, range=self.range
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)
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if __name__ == "__main__":
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unittest.main()
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