Empty

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

Arguments

...

a sequence of integers defining the shape of the output tensor.

names

optional character vector naming each dimension.

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.

empty(*size, out=NULL, dtype=NULL, layout=torch.strided, device=NULL, requires_grad=False, pin_memory=False) -> Tensor

Returns a tensor filled with uninitialized data. The shape of the tensor is defined by the variable argument size.

Examples

if (torch_is_installed()) { torch_empty(c(2, 3)) }
#> torch_tensor #> 4.4726e+21 8.4843e+26 2.7945e+20 #> 5.5610e+31 4.2964e+24 8.4725e+11 #> [ CPUFloatType{2,3} ]