tf.ones_like
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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
)
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.
|
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Last updated 2023-10-06 UTC.
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