wehub-resource-sync
74 lines
1.9 KiB
Python
74 lines
1.9 KiB
Python
# Copyright (c) 2024 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 os
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import unittest
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import numpy
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os.environ['FLAGS_prim_all'] = 'true'
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os.environ['FLAGS_prim_enable_dynamic'] = 'true'
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os.environ['FLAGS_use_cinn'] = '1'
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os.environ['FLAGS_deny_cinn_ops'] = 'slice;'
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import paddle
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def init():
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var_0 = paddle.rand([216])
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return [var_0]
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def func(x):
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t = x.reshape([4, 2, 27])
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sum1 = t.mean(-1, keepdim=True)
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t2 = t - sum1
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t3 = t2 * t2
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t5 = t3.sum(-1, keepdim=True)
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return t, t5
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def input_spec():
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return [paddle.static.InputSpec(shape=[216], dtype='float32', name='var_0')]
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class TestCase(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, data_init):
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static_compute = paddle.jit.to_static(
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full_graph=True,
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backend="CINN",
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input_spec=input_spec(),
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)(dy_compute)
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inputs = data_init()
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dy_out = dy_compute(*inputs)
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st_out = static_compute(*inputs)
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if isinstance(dy_out, paddle.Tensor):
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numpy.testing.assert_allclose(dy_out, st_out, atol=1e-5, rtol=1e-6)
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return
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for d, s in zip(dy_out, st_out):
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numpy.testing.assert_allclose(d, s, atol=1e-5, rtol=1e-6)
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def test_case(self):
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self.compare_result(func, init)
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if __name__ == "__main__":
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unittest.main()
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