PreventGradient

public final class PreventGradient

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

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.

Nested Classes

class PreventGradient.Options Optional attributes for PreventGradient

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output <T>
asOutput ()
Returns the symbolic handle of the tensor.
static <T extends TType > PreventGradient <T>
create ( Scope scope, Operand <T> input, Options... options)
Factory method to create a class wrapping a new PreventGradient operation.
static PreventGradient.Options
message (String message)
Output <T>
output ()
the same input tensor.

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "PreventGradient"

Public Methods

public Output <T> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static PreventGradient <T> create ( Scope scope, Operand <T> input, Options... options)

Factory method to create a class wrapping a new PreventGradient operation.

Parameters
scope current scope
input any tensor.
options carries optional attributes values
Returns
  • a new instance of PreventGradient

public static PreventGradient.Options message (String message)

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

public Output <T> output ()

the same input tensor.