wehub-resource-sync
51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
# 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 min_graph_size_guard
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def simple_case(x, y):
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a = x[0]
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b = x[1]
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c = paddle.reshape(y, [a, b])
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# This case use full graph mode, we need to return a list to keep same as SOT
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return [c]
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class TestSotCall(TestCaseBase):
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@min_graph_size_guard(0)
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def test_input_with_different_places(self):
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if paddle.device.is_compiled_with_cuda():
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a = paddle.to_tensor(
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[2, 3], dtype='int32', place=paddle.CUDAPlace(0)
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)
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b = paddle.ones([3, 2], dtype='int32')
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_, pp = paddle.jit.to_static(
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simple_case, full_graph=True
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).get_concrete_program(a, b)
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c = paddle.to_tensor([2, 3], dtype='int32', place=paddle.CPUPlace())
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result1 = pp.sot_call([a, b])
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result2 = pp.sot_call([c, b])
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self.assert_nest_match(result1, result2)
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if __name__ == "__main__":
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unittest.main()
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