tensorflow:: ops:: LogSoftmax

#include <nn_ops.h>

Computes log softmax activations.

Summary

For each batch i and class j we have

logsoftmax[i, j] = logits[i, j] - log(sum(exp(logits[i])))

Args:

• scope: A Scope object
• logits: 2-D with shape [batch_size, num_classes] .

Returns:

• Output : Same shape as logits .

Constructors and Destructors
LogSoftmax (const :: tensorflow::Scope & scope, :: tensorflow::Input logits)

Public attributes
logsoftmax	:: tensorflow::Output
operation	Operation

Public functions
node () const	::tensorflow::Node *
operator::tensorflow::Input () const
operator::tensorflow::Output () const

Public attributes

logsoftmax

::tensorflow::Output logsoftmax

operation

Operation operation

Public functions

LogSoftmax

 LogSoftmax(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input logits
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const