wehub-resource-sync
64 lines
2.0 KiB
Python
64 lines
2.0 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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import paddle
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from paddle import nn
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from paddle.base.core import has_custom_vjp
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paddle.enable_static()
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def get_gelu_program_pir():
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main_program, start_program = (
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paddle.static.Program(),
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paddle.static.Program(),
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)
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with paddle.static.program_guard(main_program, start_program):
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x = paddle.static.data('x', [2, 3, 3], dtype='float32')
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net = nn.GELU()
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net(x)
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return main_program
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def get_multiply_program_pir():
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main_program, start_program = (
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paddle.static.Program(),
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paddle.static.Program(),
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)
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with paddle.static.program_guard(main_program, start_program):
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x = paddle.static.data('x', [2, 3, 3], dtype='float32')
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y = paddle.static.data('y', [2, 3, 3], dtype='float32')
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_ = x * y
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return main_program
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class TestCustomVjpTrait(unittest.TestCase):
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def test_gelu_op_custom_vjp_trait(self):
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pir_program = get_gelu_program_pir()
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op = pir_program.global_block().ops[-1]
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self.assertEqual(op.name(), "pd_op.gelu")
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self.assertEqual(has_custom_vjp(op), True)
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def test_multiply_op_custom_vjp_trait(self):
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pir_program = get_multiply_program_pir()
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op = pir_program.global_block().ops[-1]
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self.assertEqual(op.name(), "pd_op.multiply")
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self.assertEqual(has_custom_vjp(op), False)
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if __name__ == "__main__":
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unittest.main()
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