add epochs arg

ForNet.py

@@ -1076,6 +1076,7 @@ class RecombineDataset(Dataset):
         orig_img_prob,
         fg_in_nonant=None,
         size_fact=1.0,
+        epochs=0,
         **kwargs,
     ):
         """Create the ForNet recombination dataset.
@@ -1116,7 +1117,7 @@ class RecombineDataset(Dataset):
         self.mask_smoothing_sigma = mask_smoothing_sigma
         self.rel_jut_out = rel_jut_out
         self.orig_img_prob = orig_img_prob
-        self.epochs = 0
+        self.epochs = epochs
         self._epoch = 0
         self.cls_to_idx = {}
         self.fg_in_nonant = fg_in_nonant
@@ -1307,6 +1308,7 @@ class ForNetConfig(datasets.BuilderConfig):
         orig_img_prob,
         fg_in_nonant=None,
         size_fact=1.0,
+        epochs=0,
         **kwargs,
     ):
         """BuilderConfig for ForNet.
@@ -1325,6 +1327,7 @@ class ForNetConfig(datasets.BuilderConfig):
         self.orig_img_prob = orig_img_prob
         self.fg_in_nonant = fg_in_nonant
         self.size_fact = size_fact
+        self.epochs = epochs
 
     def __str__(self):
         return f"ForNetConfig(name={self.name}, version={self.version}, data_dir={self.data_dir}, data_files={self.data_files}, description={self.description}, background_combination={self.background_combination}, fg_scale_jitter={self.fg_scale_jitter}, pruning_ratio={self.pruning_ratio}, fg_size_mode={self.fg_size_mode}, fg_bates_n={self.fg_bates_n}, mask_smoothing_sigma={self.mask_smoothing_sigma}, rel_jut_out={self.rel_jut_out}, orig_img_prob={self.orig_img_prob})"
@@ -1421,6 +1424,7 @@ class ForNet(datasets.GeneratorBasedBuilder):
             orig_img_prob=0.0,
             fg_in_nonant=None,
             size_fact=1.0,
+            epochs=0,
         )
     ]
 
@@ -1647,6 +1651,7 @@ class ForNet(datasets.GeneratorBasedBuilder):
             orig_img_prob=self.config.orig_img_prob,
             fg_in_nonant=self.config.fg_in_nonant,
             size_fact=self.config.size_fact,
+            epochs=self.config.epochs,
             **dataset_kwargs,
         )