As_strided
As_strided
torch_as_strided(self, size, stride, storage_offset = NULL)
self |
(Tensor) the input tensor. |
size |
(tuple or ints) the shape of the output tensor |
stride |
(tuple or ints) the stride of the output tensor |
storage_offset |
(int, optional) the offset in the underlying storage of the output tensor |
Create a view of an existing torch_Tensor input with specified
size, stride and storage_offset.
More than one element of a created tensor may refer to a single memory location. As a result, in-place operations (especially ones that are vectorized) may result in incorrect behavior. If you need to write to the tensors, please clone them first.
Many PyTorch functions, which return a view of a tensor, are internally implemented with this function. Those functions, like `torch_Tensor.expand`, are easier to read and are therefore more advisable to use.
if (torch_is_installed()) {
x = torch_randn(c(3, 3))
x
t = torch_as_strided(x, list(2, 2), list(1, 2))
t
t = torch_as_strided(x, list(2, 2), list(1, 2), 1)
t
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.