wehub-resource-sync
69 lines
2.2 KiB
Python
69 lines
2.2 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 unittest
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import numpy as np
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from dygraph_to_static_utils import (
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Dy2StTestBase,
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test_ast_only,
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)
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import paddle
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# The input of concat_grad is no_need_buffer
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def concat_net(x):
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y = x + 1
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z = paddle.concat([y, y], axis=0)
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return z
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class TestNoNeedBuffer(Dy2StTestBase):
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@test_ast_only
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def test_no_need_buffer(self):
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input = paddle.to_tensor([1, 2])
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input.stop_gradient = False
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static_fn = paddle.jit.to_static(concat_net)
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static_res = static_fn(input)
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dygraph_res = concat_net(input)
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np.testing.assert_allclose(static_res.numpy(), dygraph_res.numpy())
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_, partial_program_layer = static_fn.get_concrete_program(input)
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named_values = (
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partial_program_layer.program.forward_program._list_named_vars()
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)
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no_need_buffers_names = partial_program_layer.program.program_attr[
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"no_need_buffers_names"
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]
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no_need_buffers = [
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value := named_values.get(no_need_buffer_name, None)
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for no_need_buffer_name in no_need_buffers_names
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]
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for no_need_buffer_value in no_need_buffers:
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if no_need_buffer_value is None:
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continue
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defining_op = no_need_buffer_value.get_defining_op()
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# y = x + 1, it's defining op is `pd_op.scale`
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if defining_op is not None and defining_op.name() == 'pd_op.scale':
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break
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else:
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raise AssertionError(
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"middle var `y` should be no_need_buffer value"
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)
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if __name__ == '__main__':
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unittest.main()
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