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torch.contiguous()에 대해 알아보자. 1. PyTorch documentation Returns a contiguous tensor containing the same data as self tensor. If self tensor is contiguous, this function returns the self tensor. 라는데... 그러면 contiguous tensor가 먼데...? 구글링을 시작했다. 2. Stack overflow 글 There are few operations on Tensor in PyTorch that do not really change the content of the tensor, but only how to convert indices in to t..

PyTorch 코드를 구경하다보면 종종 nn.Sequential 함수가 보인다. 그래서 알아보았다. 1. 그냥 구현 class CNN(nn.Module): def __init__(): super(CNN, self).__init__(): self.conv1 = nn.Conv2d(1, 32, kernel_size=(41, 11), stride=(2, 2), padding=(20, 5)) self.conv2 = nn.Conv2d(32, 32, kernel_size=(21, 11), stride=(2, 1), padding=(10, 5)) self.bn = nn.BatchNorm2d(32) self.act = nn.Hardtanh(0, 20, inplace=True), def forward(self, x): x..