DebugGradientIdentity
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Identity op for gradient debugging.
This op is hidden from public in Python. It is used by TensorFlow Debugger to
register gradient tensors for gradient debugging.
This op operates on non-reference-type tensors.
Constants
String |
OP_NAME |
The name of this op, as known by TensorFlow core engine |
Inherited Methods
From class
java.lang.Object
boolean
|
equals(Object arg0)
|
final
Class<?>
|
getClass()
|
int
|
hashCode()
|
final
void
|
notify()
|
final
void
|
notifyAll()
|
String
|
toString()
|
final
void
|
wait(long arg0, int arg1)
|
final
void
|
wait(long arg0)
|
final
void
|
wait()
|
From interface
org.tensorflow.Operand
abstract
Output<T>
|
asOutput()
Returns the symbolic handle of the tensor.
|
abstract
T
|
asTensor()
Returns the tensor at this operand.
|
abstract
Shape
|
shape()
Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
|
abstract
Class<T>
|
type()
Returns the tensor type of this operand
|
Constants
public
static
final
String
OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"DebugGradientIdentity"
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.
Factory method to create a class wrapping a new DebugGradientIdentity operation.
Returns
- a new instance of DebugGradientIdentity
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Last updated 2021-11-29 UTC.
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