wehub-resource-sync
54 lines
1.6 KiB
Python
54 lines
1.6 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 tempfile
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import unittest
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import paddle
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from paddle.jit.sot.utils import export_guard, min_graph_size_guard
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class Net(paddle.nn.Layer):
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def __init__(self):
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super().__init__()
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self.linear = paddle.nn.Linear(2, 2)
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self.bias = self.create_parameter(
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shape=[2],
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attr=None,
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dtype="float32",
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is_bias=True,
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)
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def forward(self, x):
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a = self.linear(x)
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return a + self.bias
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class TestSotExport(unittest.TestCase):
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@min_graph_size_guard(0)
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def test_basic(self):
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temp_dir = tempfile.TemporaryDirectory()
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temp_dir_name = temp_dir.name
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net = Net()
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x = paddle.to_tensor([2, 3], dtype="float32", stop_gradient=True)
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with export_guard(temp_dir_name):
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y = paddle.jit.to_static(net)(x)
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assert os.path.exists(os.path.join(temp_dir_name, "SIR_0.py"))
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temp_dir.cleanup()
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if __name__ == "__main__":
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unittest.main()
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