torch.zeros
(*size, out=None, dtype=None, layout=torch.strided, device=None, requires_grad=False) → Tensor
Returns a tensor filled with the scalar value 0, with the shape defined by the variable argument size
.
Parameters
torch.dtype
, optional) – the desired data type of returned tensor. Default: if None
, uses a global default (see torch.set_default_tensor_type()
).
torch.layout
, optional) – the desired layout of returned Tensor. Default: torch.strided
.
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.
False
.
Example:>>> torch.zeros(2, 3)
tensor([[ 0., 0., 0.],
[ 0., 0., 0.]])
>>> torch.zeros(5)
tensor([ 0., 0., 0., 0., 0.])