Clips tensor values to a maximum average L2-norm. (deprecated)
tf.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/r1.15/api_docs/python/tf/clip_by_average_norm