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师兄,好。咨询一个问题?

师兄号,有一个问题关于自表征参数是否训练?

深度自表征空间的方法,原作者实现的代码中,自表征层参数并没有进行反向传播训练。
self.saver = tf.train.Saver([v for v in tf.trainable_variables() if not (v.name.startswith("Coef"))])

而师兄的用pytorch实现的代码中,self.Coefficient = nn.Parameter(1.0e-4 * torch.ones(n, n, dtype=torch.float32), requires_grad=True),好像是加入到反向传播中。

师兄这个是一样的嘛?还是我对于这两个框架理解有问题?

非常感谢师兄。

云南大学,杜国王

A doubt about ConvTranspose2dSamePad

Hello
How are you?
Thanks for contributing to this project.
I have a question.
I know that an output size is twice as an input size in convtranspose2d layer in general.

image

if so, pad_height and pad_width values are negative in your implementation, right?

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