Computes softplus gradients for a softplus operation.
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tf.compat.v1.raw_ops.SoftplusGrad
tf.raw_ops.SoftplusGrad(
gradients, features, name=None
)
Args |
gradients
|
A Tensor. Must be one of the following types: half, bfloat16, float32, float64.
The backpropagated gradients to the corresponding softplus operation.
|
features
|
A Tensor. Must have the same type as gradients.
The features passed as input to the corresponding softplus operation.
|
name
|
A name for the operation (optional).
|
Returns |
A Tensor. Has the same type as gradients.
|
Last updated 2024-04-26 UTC.
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