wehub-resource-sync
59 lines
1.9 KiB
Python
59 lines
1.9 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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import paddle
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from paddle.base.executor import Executor
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from paddle.static import data
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from paddle.tensor import array_write
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class TestExecutor(unittest.TestCase):
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def test_mul(self):
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i = paddle.zeros(shape=[1], dtype='int64')
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a = data(name='a', shape=[-1, 784], dtype='float32')
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array = array_write(x=a, i=i)
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i = paddle.increment(i)
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b = data(name='b', shape=[784, 100], dtype='float32')
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array_write(x=b, i=i, array=array)
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i = paddle.increment(i)
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out = paddle.matmul(x=a, y=b)
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array_write(x=out, i=i, array=array)
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a_np = np.random.random((100, 784)).astype('float32')
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b_np = np.random.random((784, 100)).astype('float32')
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exe = Executor()
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res, res_array = exe.run(
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feed={'a': a_np, 'b': b_np}, fetch_list=[out, array]
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)
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self.assertEqual((100, 100), res.shape)
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rtol = 1e-5
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if paddle.is_compiled_with_xpu():
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rtol = 1e-4
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np.testing.assert_allclose(res, np.dot(a_np, b_np), rtol=rtol)
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np.testing.assert_allclose(res_array[0], a_np, rtol=rtol)
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np.testing.assert_allclose(res_array[1], b_np, rtol=rtol)
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np.testing.assert_allclose(res_array[2], res, rtol=rtol)
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if __name__ == '__main__':
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unittest.main()
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