{ }
View source on GitHub |
Normalizes tensor
along dimension axis
using specified norm.
tf.linalg.normalize(
tensor, ord='euclidean', axis=None, name=None
)
This uses tf.linalg.norm
to compute the norm along axis
.
This function can compute several different vector norms (the 1-norm, the Euclidean or 2-norm, the inf-norm, and in general the p-norm for p > 0) and matrix norms (Frobenius, 1-norm, 2-norm and inf-norm).
Raises | |
---|---|
ValueError
|
If ord or axis is invalid.
|