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torch_reshape(self, shape)



(Tensor) the tensor to be reshaped


(tuple of ints) the new shape

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.

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.


if (torch_is_installed()) {

a <- torch_arange(0, 3)
torch_reshape(a, list(2, 2))
b <- torch_tensor(matrix(c(0, 1, 2, 3), ncol = 2, byrow=TRUE))
torch_reshape(b, list(-1))
#> torch_tensor
#>  0
#>  1
#>  2
#>  3
#> [ CPUFloatType{4} ]