oneflow.new_ones¶
-
oneflow.
new_ones
(x, size=None, dtype=None, device=None, placement=None, sbp=None, requires_grad=False) → Tensor¶ The interface is consistent with PyTorch. The documentation is referenced from: https://pytorch.org/docs/1.10/generated/torch.Tensor.new_ones.html.
Returns a Tensor of size size filled with 1. By default, the returned Tensor has the same oneflow.dtype and oneflow.device as this tensor.
- Parameters
size (int...) – a list, tuple, or flow.Size of integers defining the shape of the output tensor.
dtype (flow.dtype, optional) – the desired type of returned tensor. Default: if None, same flow.dtype as this tensor.
device (flow.device, optional) – the desired device of returned tensor. Default: if None, same flow.device as this tensor.
placement (flow.placement, optional) – the desired placement of returned global tensor. Default: if None, the returned tensor is local one using the argument device.
sbp (flow.sbp.sbp or tuple of flow.sbp.sbp, optional) – the desired sbp descriptor of returned global tensor. Default: if None, the returned tensor is local one using the argument device.
requires_grad (bool, optional) – If autograd should record operations on the returned tensor. Default: False.
For example:
>>> import numpy as np >>> import oneflow as flow >>> x = flow.Tensor(np.ones((1, 2, 3))) >>> y = x.new_ones((2, 2)) >>> y tensor([[1., 1.], [1., 1.]], dtype=oneflow.float32)