torch.Tensor.new_ones

Tensor.new_ones(size, *, dtype=None, device=None, requires_grad=False, layout=torch.strided, pin_memory=False) → Tensor

Returns a Tensor of size size filled with 1. By default, the returned Tensor has the same torch.dtype and torch.device as this tensor.

Parameters:

size (int...) – a list, tuple, or torch.Size of integers defining the shape of the output tensor.

Keyword Arguments:

• dtype (torch.dtype, optional) – the desired type of returned tensor. Default: if None, same torch.dtype as this tensor.

• device (torch.device, optional) – the desired device of returned tensor. Default: if None, same torch.device as this tensor.

• requires_grad (bool, optional) – If autograd should record operations on the returned tensor. Default: False.

• layout (torch.layout, optional) – the desired layout of returned Tensor. Default: torch.strided.

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

Example:

>>> tensor = torch.tensor((), dtype=torch.int32)
>>> tensor.new_ones((2, 3))
tensor([[ 1,  1,  1],
        [ 1,  1,  1]], dtype=torch.int32)