WebNov 20, 2024 · Contiguous is the term used to indicate that the memory layout of a tensor does not align with its advertised meta-data or shape information. In my opinion the word … WebJul 10, 2024 · As I understand, contiguous in PyTorch means if the neighboring elements in the tensor are actually next to each other in memory. Let’s take a simple example: x = torch.tensor ( [ [1, 2, 3], [4, 5, 6]]) # x is contiguous y = torch.transpose (0, 1) # y is non-contiguous Tensor x and y in the above example share the same memory space 1.

Pytorch基础 - 6. torch.reshape() 和 torch.view() - CSDN博客

Webtorch.Tensor.is_contiguous — PyTorch 2.0 documentation torch.Tensor.is_contiguous Tensor.is_contiguous(memory_format=torch.contiguous_format) → bool Returns True if … http://xunbibao.cn/article/121799.html harley sportster s vs indian ftr

PyTorch中的contiguous - 知乎

Webtorch.permute — PyTorch 1.13 documentation torch.permute torch.permute(input, dims) → Tensor Returns a view of the original tensor input with its dimensions permuted. Parameters: input ( Tensor) – the input tensor. dims ( tuple of python:int) – The desired ordering of dimensions Example Web从pytorch documentation： 第一个月 返回一个连续的Tensor，包含与自身Tensor相同的数据。 如果自身Tensor是连续的，这个函数返回自身Tensor。 其中contiguous在这里不仅 … Webx = torch.randn(4,4) # 1- contiguous x = x.permute(1,0) # 2- not contiguous x = x.reshape(2,2,2,2) # 3- not contiguous x = x.permute(2,3,0,1) # 4- contiguous I know that it … harley sportster s weight