- ...
(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.
- names
optional names for the dimensions
- 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
.