Zeros — torch_zeros • torch

Zeros

torch_zeros(
  ...,
  names = NULL,
  dtype = NULL,
  layout = torch_strided(),
  device = NULL,
  requires_grad = FALSE
)

Arguments

...	a sequence of integers defining the shape of the output tensor. Can be a variable number of arguments or a collection like a list or tuple.
names	optional dimension names
dtype	(`torch.dtype`, optional) the desired data type of returned tensor. Default: if `NULL`, uses a global default (see `torch_set_default_tensor_type`).
layout	(`torch.layout`, optional) the desired layout of returned Tensor. Default: `torch_strided`.
device	(`torch.device`, optional) the desired device of returned tensor. Default: if `NULL`, uses the current device for the default tensor type (see `torch_set_default_tensor_type`). `device` will be the CPU for CPU tensor types and the current CUDA device for CUDA tensor types.
requires_grad	(bool, optional) If autograd should record operations on the returned tensor. Default: `FALSE`.

Returns a tensor filled with the scalar value 0, with the shape defined by the variable argument size.

if (torch_is_installed()) {

torch_zeros(c(2, 3))
torch_zeros(c(5))
}
#> torch_tensor
#>  0
#>  0
#>  0
#>  0
#>  0
#> [ CPUFloatType{5} ]