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 |
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PreventGradient(const ::tensorflow::Scope & scope, ::tensorflow::Input input)
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PreventGradient(const ::tensorflow::Scope & scope, ::tensorflow::Input input, const PreventGradient::Attrs & attrs)
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Public attributes |
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operation
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output
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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Public static functions |
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Message(StringPiece x)
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Structs |
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tensorflow:: |
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 )