 View source on |
Creates a tensor of all ones that has the same shape as the input.
tf.ones_like(
input, dtype=None, name=None, layout=None
)
Used in the notebooks
| Used in the guide | Used in the tutorials |
|---|---|
See also tf.ones.
Given a single tensor (tensor), this operation returns a tensor of the same type and shape as tensor with all elements set to 1. Optionally, you can use dtype to specify a new type for the returned tensor.
For example:
tensor = tf.constant([[1, 2, 3], [4, 5, 6]])tf.ones_like(tensor)<tf.Tensor: shape=(2, 3), dtype=int32, numpy=array([[1, 1, 1],[1, 1, 1]], dtype=int32)>
Note that the layout of the input tensor is not preserved if the op is used inside tf.function. To obtain a tensor with the same layout as the input, chain the returned value to a dtensor.relayout_like.
Args | |
|---|---|
input | A Tensor. |
dtype | A type for the returned Tensor. Must be float16, float32, float64, int8, uint8, int16, uint16, int32, int64, complex64, complex128, bool or string. |
name | A name for the operation (optional). |
layout | Optional, tf.experimental.dtensor.Layout. If provided, the result is a DTensor with the provided layout. |
Returns | |
|---|---|
A Tensor with all elements set to one. |