ExTorch.Layout (extorch v0.1.0-pre0)
A torch.layout
is an object that represents the memory layout of a torch.Tensor
.
Currently, we support torch.strided
(dense Tensors) and have beta support for
torch.sparse_coo
(sparse COO Tensors).
torch.strided
represents dense Tensors and is the memory layout that is
most commonly used. Each strided tensor has an associated torch.Storage
,
which holds its data. These tensors provide multi-dimensional, strided view of a storage.
Strides are a list of integers: the k-th stride represents the jump in the memory
necessary to go from one element to the next one in the k-th dimension of the Tensor.
This concept makes it possible to perform many tensor operations efficiently.
Link to this section Summary
Link to this section Types
layout()
@type layout() :: :strided | :sparse
A torch.layout
is an object that represents the memory layout of a torch.Tensor
.