wehub-resource-sync
74 lines
2.1 KiB
Python
74 lines
2.1 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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from test_case_base import TestCaseBase
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import paddle
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from paddle import nn
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from paddle.jit import sot
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from paddle.jit.sot.utils import strict_mode_guard
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class Head(nn.Layer):
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def __init__(self):
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super().__init__()
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self.head = nn.Linear(10, 150)
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def forward(self, x, patch_embed_size):
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masks = self.head(x)
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# [b, (h w), c] -> [b, c, h, w]
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h, w = patch_embed_size[0], patch_embed_size[1]
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masks = masks.reshape((1, h, w, paddle.shape(masks)[-1]))
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masks = masks.transpose((0, 3, 1, 2))
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return masks
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class SimpleNet(nn.Layer):
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def __init__(self):
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super().__init__()
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self.tmp = nn.Linear(1, 1024 * 10)
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self.tmp2 = nn.Linear(1, 1 * 10 * 32 * 32)
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self.head = Head()
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def getshape(self, x):
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x = self.tmp2(x.mean().reshape([1])).reshape([1, 10, 32, 32])
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x = paddle.shape(x)
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return x
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def forward(self, x):
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sot.psdb.fallback()
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shape = self.getshape(x)
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feat = self.tmp(x.mean().reshape([1])).reshape([1, 1024, 10])
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logits = self.head(feat, shape[2:])
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return logits
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class TestSegmentLinear(TestCaseBase):
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@strict_mode_guard(False)
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def test_simple(self):
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x = paddle.randn((1, 8, 8))
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net = SimpleNet()
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net = paddle.jit.to_static(
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net, full_graph=False
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) # dont make effect. we need fetch sot PR in paddle.
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loss = net(x)
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loss = loss.sum()
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loss.backward()
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if __name__ == "__main__":
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unittest.main()
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