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Specifies that ops of type op_type
is not differentiable.
tf.no_gradient(
op_type: str
) -> None
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 | |
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op_type
|
The string type of an operation. This corresponds to the
OpDef.name field for the proto that defines the operation.
|
Raises | |
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TypeError
|
If op_type is not a string.
|