GitLab

Corrected dropout and output layer (include sigmoid). Added learning_rate_decay again since it is indeed supported in Caffe2

Set default (directories) lmdb datasets to 'train_lmdb' and 'test_lmdb'. Added check for lmdb datasets.

Removed template and generation for CNNBufferFile since it is not needed to read the Caffe2 protobuf files.

Corrected target code since training parameter "learning_rate_decay" is unsupported for the backend Caffe2.

Modified CNNTrainer.ftl: improved way to enter the optimizer parameters in template since the support checker for training parameters is already implemented.
Corrected  order of training parameters in target files based on the modification.

CNNCreator.ftl: Modified path constants to make their value dynamic instead of hard coded during code generation. Modified methods save_net and load_net.

Added cnntrainer which calls the "train" function from cnncreator with the specified training parameters.

Added indented block in all layer templates due to changes made in CNNCreator.ftl in order to avoid a python error

Bugfix: ${input} in convolution template (case: input same as data input) should not be a reference anymore due to the new version of the add_input function.
Test must be made with Blob "data" always due to the new version of the add_input function.