An identity op that triggers an error if a gradient is requested.
tf.raw_ops.PreventGradient(
input, message='', name=None
)
When executed in a graph, this op outputs its input tensor as-is.
When building ops to compute gradients, the TensorFlow gradient system will return an error when trying to lookup the gradient of this op, because no gradient must ever be registered for this function. This op exists to prevent subtle bugs from silently returning unimplemented gradients in some corner cases.
| Args | |
|---|---|
input | A Tensor. any tensor. |
message | An optional string. Defaults to "". Will be printed in the error when anyone tries to differentiate this operation. |
name | A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor. Has the same type as input. |
© 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/PreventGradient