wehub-resource-sync
49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
# Copyright (c) 2019 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_places, is_custom_device
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import paddle
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from paddle import base
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class TensorFill_Test(unittest.TestCase):
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def setUp(self):
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self.shape = [32, 32]
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def test_tensor_fill_true(self):
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typelist = ['float32', 'float64', 'int32', 'int64', 'float16']
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places = get_places()
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if base.core.is_compiled_with_cuda() or is_custom_device():
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places.append(base.CUDAPinnedPlace())
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for p in places:
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np_arr = np.reshape(
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np.array(range(np.prod(self.shape))), self.shape
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)
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for dtype in typelist:
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tensor = paddle.to_tensor(np_arr, place=p, dtype=dtype)
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target = tensor.numpy()
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target[...] = 0
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tensor.zero_()
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self.assertEqual((tensor.numpy() == target).all().item(), True)
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if __name__ == '__main__':
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unittest.main()
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