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 reference-type tensors.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Inherited Methods
boolean |
equals(Object arg0)
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final Class<?> |
getClass()
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int |
hashCode()
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final void |
notify()
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final void |
notifyAll()
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String |
toString()
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final void |
wait(long arg0, int arg1)
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final void |
wait(long arg0)
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final void |
wait()
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abstract ExecutionEnvironment |
env()
Return the execution environment this op was created in.
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abstract Operation |
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
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 DebugGradientRefIdentity<T> create (Scope scope, Operand<T> input)
Factory method to create a class wrapping a new DebugGradientRefIdentity operation.
Parameters
scope | current scope |
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Returns
- a new instance of DebugGradientRefIdentity