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Cleaned up the contracts a little.

This commit is contained in:
Davis King 2016-05-30 07:35:25 -04:00
parent 7a31806baa
commit cbd37d56a6
1 changed files with 4 additions and 5 deletions
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9
dlib/dnn/trainer_abstract.h
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@ -73,6 +73,7 @@ namespace dlib
- #get_iterations_without_progress_threshold() == 2000
- #get_learning_rate_shrink_factor() == 0.1
- #get_learning_rate_schedule().size() == 0
- #get_train_one_step_calls() == 0
- if (cuda_extra_devices.size() > 0) then
- This object will use multiple graphics cards to run the learning
algorithms. In particular, it will always use whatever device is
@ -298,12 +299,8 @@ namespace dlib
unsigned long long get_train_one_step_calls (
) const;
/*!
requires
- training process should be done with #train_one_step()
ensures
- Each #train_one_step() call increases this counter. It can be used to understand the training
stage to make some additional processing like snapshotting or extra testing
- This value is serialized/deserialized via synchronization file
- returns the number of times train_one_step() has been called.
!*/
void be_verbose (
@ -414,6 +411,7 @@ namespace dlib
calling this function you should call get_net() before you touch the net
object from the calling thread to ensure no other threads are still
accessing the network.
- #get_train_one_step_calls() == get_train_one_step_calls() + 1.
!*/
void train_one_step (
@ -437,6 +435,7 @@ namespace dlib
calling this function you should call get_net() before you touch the net
object from the calling thread to ensure no other threads are still
accessing the network.
- #get_train_one_step_calls() == get_train_one_step_calls() + 1.
!*/
double get_average_loss (