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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.
|