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58 lines
2.1 KiB
58 lines
2.1 KiB
4 years ago
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# Copyright (c) 2020 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 six
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import numpy as np
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import paddle
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import paddle.fluid as fluid
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import paddle.fluid.core as core
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class TestTF32Switch(unittest.TestCase):
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def test_on_off(self):
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if core.is_compiled_with_cuda():
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place = fluid.CUDAPlace(0)
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self.assertTrue(core.get_cublas_switch()) # default
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core.set_cublas_switch(False)
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self.assertFalse(core.get_cublas_switch()) # turn off
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core.set_cublas_switch(True)
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self.assertTrue(core.get_cublas_switch()) # turn on
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core.set_cublas_switch(True) # restore the switch
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else:
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pass
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class TestTF32OnMatmul(unittest.TestCase):
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def test_dygraph_without_out(self):
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if core.is_compiled_with_cuda():
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place = fluid.CUDAPlace(0)
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core.set_cublas_switch(False) # turn off
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with fluid.dygraph.guard(place):
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input_array1 = np.random.rand(4, 12, 64, 88).astype("float32")
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input_array2 = np.random.rand(4, 12, 88, 512).astype("float32")
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data1 = paddle.to_tensor(input_array1)
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data2 = paddle.to_tensor(input_array2)
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out = paddle.matmul(data1, data2)
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expected_result = np.matmul(input_array1, input_array2)
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self.assertTrue(np.allclose(expected_result, out.numpy(), 1e-03))
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core.set_cublas_switch(True) # restore the switch
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else:
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pass
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if __name__ == '__main__':
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unittest.main()
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