oneflow.ones_like¶
-
oneflow.
ones_like
(input) is equivalent to flow.ones(input.shape, dtype=input.dtype)¶ - Parameters
other (Tensor) – The size of input will determine size of the output tensor.
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)