fix photo2cartoon configs (#144)

configs/ugatit_photo2cartoon.yaml

 epochs: 300
 output_dir: output_dir
-adv_weight: 1.0
-cycle_weight: 50.0
-identity_weight: 10.0
-cam_weight: 1000.0
 
 model:
   name: UGATITModel
@@ -25,57 +21,102 @@ model:
     input_nc: 3
     ndf: 32
     n_layers: 5
+  l1_criterion:
+    name: L1Loss
+  mse_criterion:
+    name: MSELoss
+  bce_criterion:
+    name: BCEWithLogitsLoss
+  adv_weight: 1.0
+  cycle_weight: 50.0
+  identity_weight: 10.0
+  cam_weight: 1000.0
 
 dataset:
   train:
     name: UnpairedDataset
-    dataroot: data/photo2cartoon
+    dataroot_a: data/photo2cartoon/trainA
+    dataroot_b: data/photo2cartoon/trainB
     num_workers: 0
-    phase: train
-    max_dataset_size: inf
-    direction: AtoB
-    input_nc: 3
-    output_nc: 3
-    serial_batches: False
-    transforms:
+    batch_size: 1
+    is_train: True
+    max_size: inf
+    preprocess:
+      - name: LoadImageFromFile
+        key: A
+      - name: LoadImageFromFile
+        key: B
+      - name: Transforms
+        input_keys: [A, B]
+        pipeline:
           - name: Resize
             size: [286, 286]
-        interpolation: 'bilinear' #'bicubic' #cv2.INTER_CUBIC
+            interpolation: 'bicubic' #cv2.INTER_CUBIC
+            keys: ['image', 'image']
           - name: RandomCrop
             size: [256, 256]
+            keys: ['image', 'image']
           - name: RandomHorizontalFlip
             prob: 0.5
+            keys: ['image', 'image']
           - name: Transpose
+            keys: ['image', 'image']
           - name: Normalize
             mean: [127.5, 127.5, 127.5]
             std: [127.5, 127.5, 127.5]
+            keys: ['image', 'image']
   test:
-    name: SingleDataset
-    dataroot: data/photo2cartoon/testA
-    max_dataset_size: inf
-    direction: AtoB
-    input_nc: 3
-    output_nc: 3
-    serial_batches: False
-    transforms:
+    name: UnpairedDataset
+    dataroot_a: data/photo2cartoon/testA
+    dataroot_b: data/photo2cartoon/testB
+    num_workers: 0
+    batch_size: 1
+    max_size: inf
+    is_train: False
+    preprocess:
+      - name: LoadImageFromFile
+        key: A
+      - name: LoadImageFromFile
+        key: B
+      - name: Transfroms
+        input_keys: [A, B]
+        pipeline:
           - name: Resize
             size: [256, 256]
-        interpolation: 'bilinear' #cv2.INTER_CUBIC
+            interpolation: 'bicubic' #cv2.INTER_CUBIC
+            keys: ['image', 'image']
           - name: Transpose
+            keys: ['image', 'image']
           - name: Normalize
             mean: [127.5, 127.5, 127.5]
             std: [127.5, 127.5, 127.5]
-
-optimizer:
-  name: Adam
-  beta1: 0.5
-  weight_decay: 0.0001
+            keys: ['image', 'image']
 
 lr_scheduler:
-  name: linear
+  name: LinearDecay
   learning_rate: 0.0001
   start_epoch: 150
   decay_epochs: 150
+  # will get from real dataset
+  iters_per_epoch: 1
+
+optimizer:
+  optimG:
+    name: Adam
+    net_names:
+      - genA2B
+      - genB2A
+    weight_decay: 0.0001
+    beta1: 0.5
+  optimD:
+    name: Adam
+    net_names:
+      - disGA
+      - disGB
+      - disLA
+      - disLB
+    weight_decay: 0.0001
+    beta1: 0.5
 
 log_config:
   interval: 10