wehub-resource-sync
88 lines
2.4 KiB
Python
88 lines
2.4 KiB
Python
# 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 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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test_phi_only,
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)
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import paddle
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def dygraph_decorated_func(x):
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x = paddle.to_tensor(x)
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if paddle.mean(x) > 0:
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x_v = x - 1
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else:
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x_v = x + 1
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return x_v
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@paddle.jit.to_static(full_graph=True, backend=None)
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def jit_decorated_func(x):
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x = paddle.to_tensor(x)
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if paddle.mean(x) > 0:
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x_v = x - 1
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else:
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x_v = x + 1
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return x_v
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@paddle.jit.to_static(full_graph=True, backend=None)
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def decorated_call_decorated(x):
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return jit_decorated_func(x)
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class DoubleDecorated:
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@classmethod
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@paddle.jit.to_static(full_graph=True, backend=None)
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def double_decorated_func1(self, x):
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return paddle.jit.to_static(dygraph_decorated_func)(x)
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@classmethod
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@paddle.jit.to_static(full_graph=True, backend=None)
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def double_decorated_func2(self, x):
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return jit_decorated_func(x)
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class TestFullNameDecorator(Dy2StTestBase):
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@test_ast_only
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@test_phi_only
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def test_run_success(self):
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x = np.ones([1, 2]).astype("float32")
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answer = np.zeros([1, 2]).astype("float32")
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np.testing.assert_allclose(
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paddle.jit.to_static(dygraph_decorated_func)(x).numpy(),
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answer,
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rtol=1e-05,
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)
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np.testing.assert_allclose(
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jit_decorated_func(x).numpy(), answer, rtol=1e-05
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)
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np.testing.assert_allclose(
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decorated_call_decorated(x).numpy(), answer, rtol=1e-05
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)
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with self.assertRaises((NotImplementedError, TypeError)):
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DoubleDecorated().double_decorated_func1(x)
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with self.assertRaises((NotImplementedError, TypeError)):
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DoubleDecorated().double_decorated_func2(x)
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if __name__ == '__main__':
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unittest.main()
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