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)