TensorFlow 2 version
|
View source on GitHub
|
Specifies that ops of type op_type is not differentiable.
tf.no_gradient(
op_type
)
This function should not be used for operations that have a well-defined gradient that is not yet implemented.
This function is only used when defining a new op type. It may be
used for ops such as tf.size() that are not differentiable. For
example:
tf.no_gradient("Size")
The gradient computed for 'op_type' will then propagate zeros.
For ops that have a well-defined gradient but are not yet implemented, no declaration should be made, and an error must be thrown if an attempt to request its gradient is made.
Args | |
|---|---|
op_type
|
The string type of an operation. This corresponds to the
OpDef.name field for the proto that defines the operation.
|
Raises | |
|---|---|
TypeError
|
If op_type is not a string.
|