torch_ones_like: Ones_like

Description

Ones_like

Usage

torch_ones_like(
  input,
  dtype = NULL,
  layout = torch_strided(),
  device = NULL,
  requires_grad = FALSE,
  memory_format = torch_preserve_format()
)

Arguments

input

(Tensor) the size of input will determine size of the output tensor.

dtype

(torch.dtype, optional) the desired data type of returned Tensor. Default: if NULL, defaults to the dtype of input.

layout

(torch.layout, optional) the desired layout of returned tensor. Default: if NULL, defaults to the layout of input.

device

(torch.device, optional) the desired device of returned tensor. Default: if NULL, defaults to the device of input.

requires_grad

(bool, optional) If autograd should record operations on the returned tensor. Default: FALSE.

memory_format

(torch.memory_format, optional) the desired memory format of returned Tensor. Default: torch_preserve_format.

ones_like(input, dtype=NULL, layout=NULL, device=NULL, requires_grad=False, memory_format=torch.preserve_format) -> Tensor

Returns a tensor filled with the scalar value 1, with the same size as input. torch_ones_like(input) is equivalent to torch_ones(input.size(), dtype=input.dtype, layout=input.layout, device=input.device).

Warning

As of 0.4, this function does not support an out keyword. As an alternative, the old torch_ones_like(input, out=output) is equivalent to torch_ones(input.size(), out=output).

Examples

Run this code

# NOT RUN {
if (torch_is_installed()) {

input = torch_empty(c(2, 3))
torch_ones_like(input)
}
# }