torch (version 0.0.2)

torch_empty: Empty

Description

Empty

Arguments

size

(int...) 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.

out

(Tensor, optional) the output tensor.

dtype

(torch.dtype, optional) the desired data type of returned tensor. Default: if None, 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 None, 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.

pin_memory

(bool, optional) If set, returned tensor would be allocated in the pinned memory. Works only for CPU tensors. Default: False.

memory_format

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

empty(*size, out=None, dtype=None, layout=torch.strided, device=None, 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

# NOT RUN {
if (torch_is_installed()) {

torch_empty(c(2, 3))
}
# }