wehub-resource-sync
97 lines
2.8 KiB
Python
97 lines
2.8 KiB
Python
# Copyright (c) 2021 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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class TestNegOp(unittest.TestCase):
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def setUp(self):
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self.init_dtype_type()
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self.input = (np.random.random((32, 8)) * 100).astype(self.dtype)
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def init_dtype_type(self):
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self.dtype = np.float64
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def run_imperative(self):
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input = paddle.to_tensor(self.input)
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dy_result = paddle.neg(input)
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expected_result = np.negative(self.input)
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np.testing.assert_allclose(
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dy_result.numpy(), expected_result, rtol=1e-05
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)
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def run_static(self, use_gpu=False):
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with paddle.static.program_guard(paddle.static.Program()):
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input = paddle.static.data(
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name='input', shape=[32, 8], dtype=self.dtype
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)
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result = paddle.neg(input)
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place = get_device_place() if use_gpu else paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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exe.run(paddle.static.default_startup_program())
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st_result = exe.run(feed={"input": self.input}, fetch_list=[result])
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expected_result = np.negative(self.input)
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np.testing.assert_allclose(
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st_result[0], expected_result, rtol=1e-05
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)
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def test_cpu(self):
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paddle.disable_static(place=paddle.CPUPlace())
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self.run_imperative()
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paddle.enable_static()
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self.run_static()
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def test_gpu(self):
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if not (paddle.base.core.is_compiled_with_cuda() or is_custom_device()):
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return
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paddle.disable_static(place=get_device_place())
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self.run_imperative()
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paddle.enable_static()
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self.run_static(use_gpu=True)
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class TestNegOpFp32(TestNegOp):
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def init_dtype_type(self):
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self.dtype = np.float32
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class TestNegOpInt64(TestNegOp):
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def init_dtype_type(self):
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self.dtype = np.int64
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class TestNegOpInt32(TestNegOp):
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def init_dtype_type(self):
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self.dtype = np.int32
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class TestNegOpInt16(TestNegOp):
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def init_dtype_type(self):
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self.dtype = np.int16
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class TestNegOpInt8(TestNegOp):
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def init_dtype_type(self):
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self.dtype = np.int8
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if __name__ == "__main__":
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unittest.main()
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