Clips tensor values to a maximum average L2-norm. (deprecated)
tf.compat.v1.clip_by_average_norm( t, clip_norm, name=None )
Given a tensor t
, and a maximum clip value clip_norm
, this operation normalizes t
so that its average L2-norm is less than or equal to clip_norm
. Specifically, if the average L2-norm is already less than or equal to clip_norm
, then t
is not modified. If the average L2-norm is greater than clip_norm
, then this operation returns a tensor of the same type and shape as t
with its values set to:
t * clip_norm / l2norm_avg(t)
In this case, the average L2-norm of the output tensor is clip_norm
.
This operation is typically used to clip gradients before applying them with an optimizer.
Args | |
---|---|
t | A Tensor . |
clip_norm | A 0-D (scalar) Tensor > 0. A maximum clipping value. |
name | A name for the operation (optional). |
Returns | |
---|---|
A clipped Tensor . |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/compat/v1/clip_by_average_norm