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71 lines
2.1 KiB
71 lines
2.1 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 scipy.special import erf
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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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import paddle.fluid.dygraph as dg
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class TestErfOp(OpTest):
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def setUp(self):
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self.op_type = "erf"
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self.dtype = self._init_dtype()
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self.x_shape = [11, 17]
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x = np.random.uniform(-1, 1, size=self.x_shape).astype(self.dtype)
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y_ref = erf(x).astype(self.dtype)
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self.inputs = {'X': x}
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self.outputs = {'Out': y_ref}
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def _init_dtype(self):
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return "float64"
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def test_check_output(self):
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self.check_output()
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def test_check_grad(self):
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self.check_grad(['X'], 'Out')
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class TestErfLayer(unittest.TestCase):
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def _test_case(self, place):
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x = np.random.uniform(-1, 1, size=(11, 17)).astype(np.float64)
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y_ref = erf(x)
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with dg.guard(place) as g:
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x_var = dg.to_variable(x)
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y_var = fluid.layers.erf(x_var)
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y_test = y_var.numpy()
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self.assertTrue(np.allclose(y_ref, y_test))
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def test_case(self):
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self._test_case(fluid.CPUPlace())
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if fluid.is_compiled_with_cuda():
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self._test_case(fluid.CUDAPlace(0))
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def test_name(self):
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with fluid.program_guard(fluid.Program()):
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x = paddle.static.data('x', [3, 4])
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y = paddle.erf(x, name='erf')
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self.assertTrue('erf' in y.name)
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if __name__ == '__main__':
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unittest.main()
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