oneflow.ones_like

oneflow.ones_like(input, *, 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.ones_like.html.

Returns a tensor filled with the scalar value 1, with the same size as input. flow.ones_like(input) is equivalent to flow.ones(input.shape, dtype=input.dtype)

Parameters
  • input (Tensor) – The size of input will determine size 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 oneflow as flow
>>> import numpy as np
>>> x = flow.tensor(np.random.rand(5), dtype=flow.float32)
>>> y = flow.ones_like(x)
>>> y
tensor([1., 1., 1., 1., 1.], dtype=oneflow.float32)