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预训练模型前向传播报错 #15

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little-one opened this issue Dec 9, 2019 · 2 comments
Open

预训练模型前向传播报错 #15

little-one opened this issue Dec 9, 2019 · 2 comments

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@little-one
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手动加载了weights.pkl后发现模型参数共有718个，但是define_G()新建的模型有716个参数，最后print两个模型对比得出，预训练的模型在prior_Estimation_Network的最后加了一层1x1的卷积层，models的代码里未作出改动。
而且预训练模型前向传播报错Upsample object has no attribute name，但是直接用define_G生成的模型前向传播不会报错，这个问题有点费解呀。
@little-one
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而且看了一眼输入图像是 0-255的uint8数据，预处理只有一个转tensor操作，求问输入还经过什么操作了吗

@suke27
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suke27 commented Jan 15, 2020

have you resolved the problem？

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@little-one @suke27