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])))
Arguments:
- scope: A Scope object
- logits: 2-D with shape
[batch_size, num_classes].
Returns:
-
Output: Same shape aslogits.
| Constructors and Destructors | |
|---|---|
LogSoftmax(const ::tensorflow::Scope & scope, ::tensorflow::Input logits) |
| Public attributes | |
|---|---|
logsoftmax | |
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
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/log-softmax