PreventGradient

tensorflow C++ API

tensorflow::ops::PreventGradient

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.

Arguments:

• scope: A Scope object
• input: any tensor.

Optional attributes (seeAttrs):

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

Returns:

• Output: the same input tensor.

PreventGradient block

Source link :https://github.com/EXPNUNI/enuSpaceTensorflow/blob/master/enuSpaceTensorflow/tf_array_ops.cpp

Argument:

• Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.)
• Input input: any tensor.
• PreventGradient::Attrs attrs
  • message_: Will be printed in the error when anyone tries to differentiate this operation.

Output:

• Output output : Output object of PreventGradient class object.

Result:

• std::vector(Tensor) result_output: the same input tensor.

Using Method

※ Gradient기능을 사용하기 전에 버그를 검출하는 역할을 한다.