Computes softplus gradients for a softplus operation.
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.
|