Torch Nn Unfold at Kai English blog

Torch Nn Unfold. Class torch.nn.unfold(kernel_size, dilation=1, padding=0, stride=1) [source] extracts sliding local blocks from a batched input tensor. The unfold and fold are used to facilitate sliding window operations (like convolutions). Suppose you want to apply a. Fold calculates each combined value in the resulting large tensor by summing all values from all containing blocks. It reconstructs a tensor from patches, essentially undoing the effects of. Torch.nn.fold () is the reverse operation of unfold. Unfold (input, kernel_size, dilation = 1, padding = 0, stride = 1) [source] extract sliding local blocks from a batched. This package uses a numerical trick to perform the operations of torch.nn.functional.unfold and torch.nn.unfold ,.

Pytorchtorch.nn.UnfoldCSDN博客
from blog.csdn.net

Class torch.nn.unfold(kernel_size, dilation=1, padding=0, stride=1) [source] extracts sliding local blocks from a batched input tensor. Torch.nn.fold () is the reverse operation of unfold. The unfold and fold are used to facilitate sliding window operations (like convolutions). Unfold (input, kernel_size, dilation = 1, padding = 0, stride = 1) [source] extract sliding local blocks from a batched. This package uses a numerical trick to perform the operations of torch.nn.functional.unfold and torch.nn.unfold ,. Suppose you want to apply a. Fold calculates each combined value in the resulting large tensor by summing all values from all containing blocks. It reconstructs a tensor from patches, essentially undoing the effects of.

Pytorchtorch.nn.UnfoldCSDN博客

Torch Nn Unfold Unfold (input, kernel_size, dilation = 1, padding = 0, stride = 1) [source] extract sliding local blocks from a batched. Suppose you want to apply a. Unfold (input, kernel_size, dilation = 1, padding = 0, stride = 1) [source] extract sliding local blocks from a batched. Class torch.nn.unfold(kernel_size, dilation=1, padding=0, stride=1) [source] extracts sliding local blocks from a batched input tensor. Fold calculates each combined value in the resulting large tensor by summing all values from all containing blocks. The unfold and fold are used to facilitate sliding window operations (like convolutions). Torch.nn.fold () is the reverse operation of unfold. This package uses a numerical trick to perform the operations of torch.nn.functional.unfold and torch.nn.unfold ,. It reconstructs a tensor from patches, essentially undoing the effects of.

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