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This repository has been archived by the owner on Sep 27, 2020. It is now read-only.
代码的输入数据定义为: input = Variable(torch.randn(1, 512, 64, 32)).cuda() 参数分别为(batch_size, channels, height, weight)
在输入convlstm网络进行计算时有下面这个for循环: for step in range(self.step): x= input for i in range(self.num_layers): ...
请问这个循环每次的输入x都是相同的吗?序列体现在哪里呢?有理解不对的地方希望能得到您的指正,谢谢!
The text was updated successfully, but these errors were encountered:
代码的输入数据定义为: input = Variable(torch.randn(1, 512, 64, 32)).cuda() 参数分别为(batch_size, channels, height, weight)
在输入convlstm网络进行计算时有下面这个for循环:
for step in range(self.step): x= input for i in range(self.num_layers): ...
请问这个循环每次的输入x都是相同的吗?序列体现在哪里呢?有理解不对的地方希望能得到您的指正,谢谢!
The text was updated successfully, but these errors were encountered: