wehub-resource-sync
79 lines
2.2 KiB
Python
79 lines
2.2 KiB
Python
# Copyright (c) 2025 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
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import paddle
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class TestFoldOutputDataDerivableOpss(unittest.TestCase):
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def setUp(self):
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pass
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def tearDown(self):
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pass
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def compare_result(self, dy_compute):
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dy_out = dy_compute()
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st_out = paddle.jit.to_static(full_graph=True, backend="CINN")(
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dy_compute
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)()
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numpy.testing.assert_allclose(dy_out, st_out, atol=1e-6, rtol=1e-6)
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def test_case1(self):
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def func():
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x = paddle.full(shape=[2, 2], fill_value=0, dtype="int64")
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values = numpy.array([1, 2, 3, 4], dtype=numpy.int64)
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o = paddle.assign(values, x)
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o = paddle.cast(o, dtype="int32")
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return o
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self.compare_result(func)
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def test_case2(self):
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def func():
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x = paddle.randint(0, 10, shape=[4], dtype="int32")
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x = x + 1
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o = paddle.assign([1, 2, 3, 4], x)
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o = paddle.cast(o, dtype="int32")
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return o
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self.compare_result(func)
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def test_case3(self):
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# fold to a assign_value op
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def func():
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x = paddle.full(shape=[6], fill_value=0, dtype="int64")
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o = paddle.assign([1, 1, 2, 2, 3, 4], x)
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o = paddle.unique_consecutive(o)
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return o
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self.compare_result(func)
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def test_case4(self):
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# fold to a full op
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def func():
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x = paddle.full(shape=[5], fill_value=0, dtype="int64")
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x = paddle.assign([1, 1, 1, 1, 1], x)
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x = paddle.unique_consecutive(x)
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return x
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self.compare_result(func)
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if __name__ == "__main__":
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unittest.main()
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