tf.raw_ops.SoftsignGrad
Computes softsign gradients for a softsign operation.
tf.raw_ops.SoftsignGrad(
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 softsign operation. |
features |
A Tensor. Must have the same type as gradients. The features passed as input to the corresponding softsign 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/r2.3/api_docs/python/tf/raw_ops/SoftsignGrad