On this page
torch.reshape
torch.reshape(input, shape) → Tensor
-
Returns a tensor with the same data and number of elements as
input
, but with the specified shape. When possible, the returned tensor will be a view ofinput
. Otherwise, it will be a copy. Contiguous inputs and inputs with compatible strides can be reshaped without copying, but you should not depend on the copying vs. viewing behavior.See
torch.Tensor.view()
on when it is possible to return a view.A single dimension may be -1, in which case it’s inferred from the remaining dimensions and the number of elements in
input
.Example:
>>> a = torch.arange(4.) >>> torch.reshape(a, (2, 2)) tensor([[ 0., 1.], [ 2., 3.]]) >>> b = torch.tensor([[0, 1], [2, 3]]) >>> torch.reshape(b, (-1,)) tensor([ 0, 1, 2, 3])
© 2024, PyTorch Contributors
PyTorch has a BSD-style license, as found in the LICENSE file.
https://pytorch.org/docs/2.1/generated/torch.reshape.html