TensorFlow 1 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 | |
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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. |
TensorFlow 1 version
View source on GitHub