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 of
input. 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.
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 (Tensor) – the tensor to be reshaped
shape (tuple of python:ints) – the new shape
>>> 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])