tensorflow:: ops:: PreventGradient

#include <array_ops.h>

An identity op that triggers an error if a gradient is requested.

Summary

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:

• scope: A Scope object
• input: any tensor.

Optional attributes (see Attrs ):

• message: Will be printed in the error when anyone tries to differentiate this operation.

Returns:

• Output : the same input tensor.

Constructors and Destructors
PreventGradient (const :: tensorflow::Scope & scope, :: tensorflow::Input input)
PreventGradient (const :: tensorflow::Scope & scope, :: tensorflow::Input input, const PreventGradient::Attrs & attrs)

Public attributes
operation	Operation
output	:: tensorflow::Output

Public functions
node () const	::tensorflow::Node *
operator::tensorflow::Input () const
operator::tensorflow::Output () const

Public static functions
Message (StringPiece x)	Attrs

Structs
tensorflow:: ops:: PreventGradient:: Attrs	Optional attribute setters for PreventGradient .

Public attributes

operation

Operation operation

output

::tensorflow::Output output

Public functions

PreventGradient

 PreventGradient(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input
)

PreventGradient

 PreventGradient(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  const PreventGradient::Attrs & attrs
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

Public static functions

Message

Attrs Message(
  StringPiece x
)