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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 | |
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t
|
A Tensor.
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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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