Creates a tensor of all ones that has the same shape as the input.
tf.ones_like(
input, dtype=None, name=None
)
Used in the notebooks
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)>
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).
|
Returns |
A Tensor with all elements set to one.
|