Zeros_like

Usage

torch_zeros_like(
  input,
  dtype = NULL,
  layout = NULL,
  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.

zeros_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 0, with the same size as input. torch_zeros_like(input) is equivalent to torch_zeros(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_zeros_like(input, out=output) is equivalent to torch_zeros(input.size(), out=output).

Examples

if (torch_is_installed()) {

input = torch_empty(c(2, 3))
torch_zeros_like(input)
}
#> torch_tensor
#>  0  0  0
#>  0  0  0
#> [ CPUFloatType{2,3} ]