wehub-resource-sync
170 lines
4.6 KiB
Python
170 lines
4.6 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_52 = paddle.rand([4000, 512])
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var_54 = paddle.rand([4000, 512])
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var_38 = paddle.rand([4000, 512])
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var_17 = paddle.rand([512])
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var_57 = paddle.rand([4000, 512])
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var_53 = paddle.rand([4000, 512])
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var_58 = paddle.rand([4000, 512])
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var_56 = paddle.rand([4000, 512])
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var_55 = paddle.rand([4000, 512])
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return (
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var_52,
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var_54,
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var_38,
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var_17,
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var_57,
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var_53,
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var_58,
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var_56,
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var_55,
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)
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def func(
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var_52, var_54, var_38, var_17, var_57, var_53, var_58, var_56, var_55
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):
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var_86 = paddle.broadcast_to(var_17, [4000, 512])
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var_87 = var_38 + var_86
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var_88 = var_87
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var_89 = paddle.full(shape=[4000, 512], dtype='float32', fill_value=-1)
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var_90 = var_89 * var_87
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var_91 = paddle.exp(var_90)
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var_92 = paddle.full(shape=[4000, 512], dtype='float32', fill_value=1)
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var_93 = var_91 + var_92
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var_94 = var_87 / var_93
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var_95 = var_87 * -1.0 + 0.0
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var_96 = paddle.exp(var_95)
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var_97 = var_96
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var_98 = paddle.full(shape=[4000, 512], dtype='float32', fill_value=1)
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var_99 = var_98 + var_96
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var_100 = var_99
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var_101 = var_52 / var_99
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var_102 = var_87 * -1.0 + 0.0
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var_103 = paddle.exp(var_102)
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var_104 = var_103
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var_105 = paddle.full(shape=[4000, 512], dtype='float32', fill_value=1)
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var_106 = var_105 + var_103
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var_107 = var_106
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var_108 = var_53 / var_106
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var_109 = var_87 * -1.0 + 0.0
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var_110 = paddle.exp(var_109)
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var_111 = var_110
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var_112 = paddle.full(shape=[4000, 512], dtype='float32', fill_value=1)
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var_113 = var_112 + var_110
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var_114 = var_113
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var_115 = var_54 / var_113
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var_116 = var_99 * var_99
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var_117 = var_87 * -1.0 + 0.0
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var_118 = paddle.exp(var_117)
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var_119 = var_118
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var_120 = paddle.full(shape=[4000, 512], dtype='float32', fill_value=1)
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var_121 = var_120 + var_118
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var_122 = var_121
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var_123 = var_55 / var_121
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var_124 = var_99 * var_99
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var_125 = var_87 * -1.0 + 0.0
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var_126 = paddle.exp(var_125)
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var_127 = var_126
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var_128 = paddle.full(shape=[4000, 512], dtype='float32', fill_value=1)
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var_129 = var_128 + var_126
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var_130 = var_129
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var_131 = var_56 / var_129
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var_132 = var_106 * var_106
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var_133 = var_87 * -1.0 + 0.0
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var_134 = paddle.exp(var_133)
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var_135 = var_134
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var_136 = paddle.full(shape=[4000, 512], dtype='float32', fill_value=1)
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var_137 = var_136 + var_134
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var_138 = var_137
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var_139 = var_57 / var_137
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var_140 = var_106 * var_106
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var_141 = var_87 * -1.0 + 0.0
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var_142 = paddle.exp(var_141)
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var_143 = var_142
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var_144 = paddle.full(shape=[4000, 512], dtype='float32', fill_value=1)
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var_145 = var_144 + var_142
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var_146 = var_145
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var_147 = var_58 / var_145
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return (
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var_88,
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var_94,
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var_97,
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var_100,
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var_101,
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var_104,
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var_107,
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var_108,
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var_111,
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var_114,
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var_115,
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var_116,
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var_119,
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var_122,
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var_123,
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var_124,
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var_127,
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var_130,
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var_131,
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var_132,
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var_135,
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var_138,
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var_139,
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var_140,
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var_143,
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var_146,
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var_147,
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)
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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(full_graph=True, backend="CINN")(
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dy_compute
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)
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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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numpy.testing.assert_allclose(dy_out, st_out, 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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