wehub-resource-sync
62 lines
1.8 KiB
Python
62 lines
1.8 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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from paddle import base
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class TensorToNumpyTest(unittest.TestCase):
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def setUp(self):
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self.shape = [11, 25, 32, 43]
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def test_main(self):
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dtypes = [
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'float32',
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'float64',
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'int32',
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'int64',
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'uint8',
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'int8',
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'bool',
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]
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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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for dtype in dtypes:
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np_arr = np.reshape(
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np.array(range(np.prod(self.shape))).astype(dtype),
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self.shape,
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)
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t = base.DenseTensor()
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t.set(np_arr, p)
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ret_np_arr = np.array(t)
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self.assertEqual(np_arr.shape, ret_np_arr.shape)
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self.assertEqual(np_arr.dtype, ret_np_arr.dtype)
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all_equal = np.all(np_arr == ret_np_arr)
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self.assertTrue(all_equal)
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if __name__ == '__main__':
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unittest.main()
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