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`.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/SoftplusGrad