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120 lines
3.5 KiB
120 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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import unittest
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import numpy as np
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import paddle
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def ref_std(x, axis=None, unbiased=True, keepdim=False):
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ddof = 1 if unbiased else 0
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if isinstance(axis, int):
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axis = (axis, )
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if axis is not None:
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axis = tuple(axis)
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return np.std(x, axis=axis, ddof=ddof, keepdims=keepdim)
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class TestStdAPI(unittest.TestCase):
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def setUp(self):
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self.dtype = 'float64'
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self.shape = [1, 3, 4, 10]
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self.axis = [1, 3]
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self.keepdim = False
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self.unbiased = True
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self.set_attrs()
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self.x = np.random.uniform(-1, 1, self.shape).astype(self.dtype)
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self.place=paddle.CUDAPlace(0) \
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if paddle.fluid.core.is_compiled_with_cuda() \
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else paddle.CPUPlace()
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def set_attrs(self):
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pass
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def static(self):
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with paddle.static.program_guard(paddle.static.Program()):
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x = paddle.fluid.data('X', self.shape, self.dtype)
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out = paddle.std(x, self.axis, self.unbiased, self.keepdim)
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exe = paddle.static.Executor(self.place)
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res = exe.run(feed={'X': self.x}, fetch_list=[out])
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return res[0]
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def dygraph(self):
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paddle.disable_static()
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x = paddle.to_tensor(self.x)
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out = paddle.std(x, self.axis, self.unbiased, self.keepdim)
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paddle.enable_static()
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return out.numpy()
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def test_api(self):
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out_ref = ref_std(self.x, self.axis, self.unbiased, self.keepdim)
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out_dygraph = self.dygraph()
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out_static = self.static()
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for out in [out_dygraph, out_static]:
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self.assertTrue(np.allclose(out_ref, out))
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self.assertTrue(np.equal(out_ref.shape, out.shape).all())
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class TestStdAPI_dtype(TestStdAPI):
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def set_attrs(self):
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self.dtype = 'float32'
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class TestStdAPI_axis_int(TestStdAPI):
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def set_attrs(self):
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self.axis = 2
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class TestStdAPI_axis_list(TestStdAPI):
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def set_attrs(self):
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self.axis = [1, 2]
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class TestStdAPI_axis_tuple(TestStdAPI):
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def set_attrs(self):
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self.axis = (1, 3)
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class TestStdAPI_keepdim(TestStdAPI):
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def set_attrs(self):
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self.keepdim = False
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class TestStdAPI_unbiased(TestStdAPI):
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def set_attrs(self):
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self.unbiased = False
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class TestStdAPI_alias(unittest.TestCase):
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def test_alias(self):
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paddle.disable_static()
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x = paddle.to_tensor(np.array([10, 12], 'float32'))
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out1 = paddle.std(x).numpy()
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out2 = paddle.tensor.std(x).numpy()
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out3 = paddle.tensor.stat.std(x).numpy()
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self.assertTrue(np.allclose(out1, out2))
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self.assertTrue(np.allclose(out1, out3))
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paddle.enable_static()
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class TestStdError(unittest.TestCase):
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def test_error(self):
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with paddle.static.program_guard(paddle.static.Program()):
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x = paddle.fluid.data('X', [2, 3, 4], 'int32')
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self.assertRaises(TypeError, paddle.std, x)
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if __name__ == '__main__':
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unittest.main()
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