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
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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.
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| 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.
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| static PreventGradient.Options |
message(String message)
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| Output<T> |
output()
the same input tensor.
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Inherited Methods
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 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 |
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| 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. |
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