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 import symbolic_translate
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from paddle.static import BuildStrategy
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def func(x, y):
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ret = 2 * x
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ret = paddle.nn.functional.relu(ret)
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ret = ret + y
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return ret
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def simple(x):
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ret = 2 * x
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return ret
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class TestExecutionBase(TestCaseBase):
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def test_simple(self):
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x = paddle.to_tensor([1.0])
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y = paddle.to_tensor([2.0])
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self.assert_results(simple, x)
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self.assert_results(simple, y)
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def foo(x):
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out = x + 1
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out = out * 2
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out = paddle.nn.functional.relu(out)
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return out
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class TestBackend(TestCaseBase):
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def test_backend(self):
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x = paddle.randn([2, 3])
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dy_out = foo(x)
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# TODO(SigureMo): Find a better way to test the CINN backend.
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if not paddle.is_compiled_with_cinn():
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return
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sot_out = symbolic_translate(
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foo, build_strategy=BuildStrategy(), backend='CINN'
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)(x)
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self.assert_nest_match(dy_out, sot_out)
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if __name__ == "__main__":
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unittest.main()
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