wehub-resource-sync
62 lines
2.0 KiB
Python
62 lines
2.0 KiB
Python
# 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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import unittest
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import numpy
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import paddle
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from paddle.base import Program, core, program_guard
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from paddle.base.executor import Executor
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class TestLoDArrayLength(unittest.TestCase):
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def test_array_length(self):
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tmp = paddle.zeros(shape=[10], dtype='int32')
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i = paddle.tensor.fill_constant(shape=[1], dtype='int64', value=10)
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arr = paddle.tensor.array_write(tmp, i=i)
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arr_len = paddle.tensor.array_length(arr)
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cpu = core.CPUPlace()
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exe = Executor(cpu)
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result = exe.run(fetch_list=[arr_len])[0]
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self.assertEqual(11, result[0])
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class TestLoDArrayLengthOpError(unittest.TestCase):
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def test_errors(self):
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with program_guard(Program(), Program()):
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# for ci coverage
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x1 = numpy.random.randn(2, 4).astype('int32')
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self.assertRaises(TypeError, paddle.tensor.array_length, array=x1)
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class TestArrayLengthApi(unittest.TestCase):
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def test_api(self):
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paddle.disable_static()
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arr = paddle.tensor.create_array(dtype='float32')
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x = paddle.full(shape=[3, 3], fill_value=5, dtype="float32")
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i = paddle.zeros(shape=[1], dtype="int32")
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arr = paddle.tensor.array_write(x, i, array=arr)
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arr_len = paddle.tensor.array_length(arr)
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self.assertEqual(arr_len, 1)
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paddle.enable_static()
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if __name__ == '__main__':
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unittest.main()
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