Added recipe unifying script

src/super_gradients/scripts/merge_recipe.py

@@ -0,0 +1,47 @@
+"""
+Script that saves a merged (i.e no inheritance from other yaml configuration files),
+ .yaml file that can be ran on its own without the need to keep other configurations which the original
+  file inherits from.
+
+Usage:
+    python merge_recipe --config_name=cifar10_resnet -> saves cifar10_resnet_complete.yaml in path/to/super_gradients/recipes
+
+    python merge_recipe --config_dir=/path/to/recipes/ config_name=my_recipe.yaml -> saves config_name_complete.yaml in /path/to/recipes/
+
+    python merge_recipe --config_dir=/path/to/recipes/ config_name=my_recipe.yaml save_path=/other/recipes/dir/my_complete_recipe.yaml
+     -> saves the complete receip in /other/recipes/dir/my_complete_recipe.yaml
+
+:arg config_name: The .yaml config filename (can leave the .yaml postfix out, but not mandatory).
+
+:arg config_dir: The config directory path, as absolute file system path.
+ When None, will use SG's recipe directory (i.e path/to/super_gradients/recipes)
+
+:arg: The output path for the complete .yaml file.
+ When None, will use config_dir/config_name with a trailing "_complete.yaml".
+"""
+
+import argparse
+from hydra import initialize_config_dir, compose
+from hydra.core.global_hydra import GlobalHydra
+import pkg_resources
+from omegaconf import OmegaConf
+import os
+from super_gradients import init_trainer
+from super_gradients.common.environment.cfg_utils import normalize_path
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--config_dir", type=str, default=pkg_resources.resource_filename("super_gradients.recipes", ""), help="The config directory path")
+    parser.add_argument("--config_name", type=str, help=".yaml filename")
+    parser.add_argument("--save_path", type=str, default=None, help="Destination path to the output .yaml file")
+    args = parser.parse_args()
+    if args.save_path is None:
+        args.save_path = os.path.join(args.config_dir, args.config_name).replace(".yaml", "") + "_complete.yaml"
+
+    # NEED TO REGISTER RESOLVERS FIRST
+    init_trainer()
+    GlobalHydra.instance().clear()
+    with initialize_config_dir(config_dir=normalize_path(args.config_dir), version_base="1.2"):
+        cfg = compose(config_name=args.config_name)
+        OmegaConf.save(config=cfg, f=args.save_path)
+        print(f"Successfully saved recipe at {args.save_path}")