wehub-resource-sync
77 lines
2.0 KiB
Python
77 lines
2.0 KiB
Python
# Copyright (c) 2019 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 dygraph_to_static_utils import (
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Dy2StTestBase,
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test_ast_only,
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)
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import paddle
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np.random.seed(1)
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def func(x):
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y = x[0:3].astype("float32")
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return y
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class TestAmp64Case(Dy2StTestBase):
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def _run_static(self):
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static_func = paddle.jit.to_static(func)
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x = paddle.randn((10, 10)).astype("float64")
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with paddle.amp.auto_cast(True, level="O2"):
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dy_out = func(x)
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st_out = static_func(x)
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np.testing.assert_allclose(dy_out.numpy(), st_out.numpy())
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def test_ast_to_func(self):
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self._run_static()
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class Net(paddle.nn.Layer):
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def __init__(self) -> None:
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super().__init__()
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self.linear = paddle.nn.Linear(5, 5)
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def forward(self, x):
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out = self.linear(x)
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with paddle.amp.auto_cast(level='O2'):
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out = self.linear(out)
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return out
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class TestPartialAutoCast(Dy2StTestBase):
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@test_ast_only
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def test_run(self):
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if not paddle.base.core.is_compiled_with_cuda():
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return
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x = paddle.randn([5, 5], 'float32')
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net = Net()
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net = paddle.jit.to_static(net)
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out = net(x)
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main = net.forward.main_program
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cast_op_count = 0
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for op in main.global_block().ops:
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if op.name() == 'pd_op.cast':
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cast_op_count += 1
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np.testing.assert_equal(cast_op_count, 3)
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if __name__ == '__main__':
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unittest.main()
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