Add sample.cfg and update gitignore

.gitignore

@@ -99,3 +99,7 @@ ENV/
 
 # mypy
 .mypy_cache/
+
+# run config files
+*.cfg
+!sample.cfg

sample.cfg

@@ -5,28 +5,50 @@ train=true
 run_output="/path/to/output/directory"
 valid_container="/path/to/container.n5"
 valid_dataset="path/to/dataset"
-gap_container="/path/to/container.n5"  ; Only needed if train=true
-gap_dataset="path/to/dataset"          ; Only needed if train=true
-gap_location=":,:,15"  ; Uses slice notation. (z,y,x) format. Only needed if train=true
 
+; Only needed if train=true
+gap_container="/path/to/container.n5"
+gap_dataset="path/to/dataset"
+gap_location=":,:,15" 
+; (Uses slice notation. (z,y,x) format)
+
+
+
+; Only necessary if global.train=true
 [train]
-pretrained_model="/path/to/model.h5"  ; Only needed if pretrain=false
 num_epochs=100
 num_minibatch=64
 minibatch_size=4
 instance_noise=false
-instance_noise_std_dev=0    ; Optional if instance_noise=false
-anneal_noise=30             ; Optional if instance_noise=false
+
+; Only necessary if instance_noise=true
+instance_noise_std_dev=0
+anneal_noise=30
+
+; Only needed if pretrain=false
+pretrained_model="/path/to/model.h5"
+
 generator_learning_rate=1e-4
 generator_optimizer="adam"
+generator_mask_size=10
 discriminator_learning_rate=1e-5
 discriminator_optimizer="adam"
 discriminator_architecture="default"
+
+; Anything in this format gets passed to the constructor for that architecture
+discriminator_arg_[argname]="value"
+
 discriminator_batchnorm=true
 
+
+
+; Only necessary if global.pretrain=true
 [pretrain]
 generator_architecture="default"
+
+; Anything in this format gets passed to the constructor for that architecture
 generator_arg_[argname]="value"
+
 generator_learning_rate=1e-4
 generator_regularization=0.0
 generator_batchnorm=true