print -> logger.info

ForNet.py

@@ -462,10 +462,8 @@ class ForNet(datasets.GeneratorBasedBuilder):
             ),
         ]
 
-    def _generate_examples(
-        self, patch_files, split, hf_indices, cls_to_idx_loc, fg_bg_ratios
-    ):  # TODO: Parallelize this with multiple tar extractor processes and also multiple recombiner processes. Iterate through imagenet in main thread only, I guess...
-        print(f"Generating examples from {len(patch_files)} patch files")
+    def _generate_examples(self, patch_files, split, hf_indices, cls_to_idx_loc, fg_bg_ratios):
+        logger.info(f"Generating examples from {len(patch_files)} patch files")
         logger.info("Opening files")
         class_to_zipfile = {}
         for f in patch_files:
@@ -477,7 +475,7 @@ class ForNet(datasets.GeneratorBasedBuilder):
                         name_start = "/".join(name.split("/")[:-2])
         if len(name_start) > 0:
             name_start += "/"
-        print(f"Loading extra information: {hf_indices}, {fg_bg_ratios}")
+        logger.info(f"Loading extra information: {hf_indices}, {fg_bg_ratios}")
         with open(hf_indices, "r") as f:
             path_to_in_idx = json.load(f)
         idx_to_path = {v: k for k, v in path_to_in_idx.items()}
@@ -487,7 +485,7 @@ class ForNet(datasets.GeneratorBasedBuilder):
         fg_bg_ratios = {"/".join(k.split("/")[-2:]).split(".")[0]: v for k, v in fg_bg_ratios.items()}
         # print("fg_bg_ratios", list(fg_bg_ratios.items())[:5])
 
-        print("Starting extraction with ImageNet")
+        logger.info("Starting extraction with ImageNet")
         foraug_idx = 0
 
         manager = multiprocessing.Manager()
@@ -556,7 +554,6 @@ class ForNet(datasets.GeneratorBasedBuilder):
         in_proc.join()
         for proc in zip_procs:
             proc.join()
-        exit()
 
         # tqdm.write("Finished all processes")
         while not ret_queue.empty():