wehub-resource-sync
74 lines
2.2 KiB
Python
74 lines
2.2 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 as np
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from op_test import get_device_place, is_custom_device
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import paddle
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from paddle import _C_ops
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from paddle.base import core
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def test_api_with_place(data, np_data, value, place):
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_C_ops.full_(data, data.shape, float(value), data.dtype, place)
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np.testing.assert_array_equal(data, np_data)
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class TestFull_(unittest.TestCase):
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def setUp(self):
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self.type = 'float32'
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self.shape = [30, 10, 2]
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self.value = 1.1
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self.with_gpu = (
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True
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if (paddle.device.is_compiled_with_cuda() or is_custom_device())
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else False
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)
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def test_api(self):
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data = paddle.rand(self.shape, dtype=self.type)
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np_data = np.full(self.shape, self.value, dtype=self.type)
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test_api_with_place(data, np_data, self.value, core.CPUPlace())
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if self.with_gpu:
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test_api_with_place(data, np_data, self.value, get_device_place())
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class TestFP16Full_(TestFull_):
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def setUp(self):
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self.type = 'float16'
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self.shape = [30, 10, 2]
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self.value = 1.1
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self.with_gpu = (
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True
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if (paddle.device.is_compiled_with_cuda() or is_custom_device())
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else False
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)
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class TestFP64Full_(TestFull_):
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def setUp(self):
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self.type = 'float64'
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self.shape = [30, 10, 2]
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self.value = 1.1
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self.with_gpu = (
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True
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if (paddle.device.is_compiled_with_cuda() or is_custom_device())
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else False
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)
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if __name__ == "__main__":
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unittest.main()
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