tf.clip_by_average_norm(
t,
clip_norm,
name=None
)
Defined in tensorflow/python/ops/clip_ops.py
.
Clips tensor values to a maximum average L2-norm. (deprecated)
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
: ATensor
.clip_norm
: A 0-D (scalar)Tensor
> 0. A maximum clipping value.name
: A name for the operation (optional).
Returns:
A clipped Tensor
.