chore: import upstream snapshot with attribution
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# Copyright (c) 2023 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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from test_case_base import TestCaseBase
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import paddle
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from paddle.jit.sot.utils import strict_mode_guard
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def call_locals(x: int, y: paddle.Tensor):
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tmp = locals()
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return x + y + len(list(tmp.keys())), list(tmp.keys())
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class TestUnsupportedFunction(TestCaseBase):
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@strict_mode_guard(False)
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def test_locals(self):
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x = paddle.to_tensor([2])
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y = paddle.to_tensor([3])
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self.assert_results(call_locals, x, y)
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if __name__ == "__main__":
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unittest.main()
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