[training.dataset]
file_pattern =
convert_template =
multiplier =
transform_size =
usage_mode =
batch_mode =
batch_ratio =

[training.loader]
batch_size =
num_workers =
split_ratio =

[training.model]
generator_embedder_path =
loss_embedder_path =
face_masker_path =

[training.model.generator]
source_channels =
output_size =
num_blocks =

[training.model.discriminator]
input_channels =
num_filters =
num_layers =
num_discriminators =
kernel_size =

[training.model.masker]
input_channels =
output_channels =
num_filters =

[training.losses]
adversarial_weight =
feature_weight =
reconstruction_weight =
identity_weight =
mask_weight =

[training.trainer]
accumulate_size =
discriminator_ratio =
gradient_clip =
max_epochs =
strategy =
precision =
sync_batchnorm =
preview_frequency =

[training.modifier]
mask_factor =
noise_factor =

[training.optimizer.generator]
learning_rate =
momentum =
scheduler_factor =
scheduler_patience =

[training.optimizer.discriminator]
learning_rate =
momentum =
scheduler_factor =
scheduler_patience =

[training.logger]
logger_path =
logger_name =

[training.output]
directory_path =
file_pattern =
resume_path =

[exporting]
directory_path =
source_path =
target_path =
target_size =
ir_version =
opset_version =
precision =

[inferencing]
generator_path =
embedder_path =
source_path =
target_path =
output_path =