tf.raw_ops.SoftplusGrad

Computes softplus gradients for a softplus operation.

Compat aliases for migration

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`.

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Last updated 2020-10-01 UTC.

Args