implemented locking in training setup

backend/data/test_base_configs.py

@@ -0,0 +1,79 @@
+#!/usr/bin/env python3
+"""
+Test script to demonstrate base configuration loading for YOLOX models
+"""
+
+import sys
+import os
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
+
+from services.generate_yolox_exp import load_base_config
+
+def test_base_configs():
+    """Test loading all base configurations"""
+    models = ['yolox-s', 'yolox-m', 'yolox-l', 'yolox-x']
+    
+    print("=" * 80)
+    print("YOLOX Base Configuration Test")
+    print("=" * 80)
+    
+    for model in models:
+        print(f"\n{'='*80}")
+        print(f"Model: {model.upper()}")
+        print(f"{'='*80}")
+        
+        try:
+            config = load_base_config(model)
+            
+            # Group parameters by category
+            arch_params = ['depth', 'width', 'activation']
+            training_params = ['max_epoch', 'warmup_epochs', 'basic_lr_per_img', 'scheduler', 
+                             'no_aug_epochs', 'min_lr_ratio']
+            optimizer_params = ['momentum', 'weight_decay']
+            augmentation_params = ['mosaic_prob', 'mixup_prob', 'hsv_prob', 'flip_prob', 
+                                 'degrees', 'translate', 'shear', 'mosaic_scale', 
+                                 'mixup_scale', 'enable_mixup']
+            input_params = ['input_size', 'test_size', 'random_size']
+            eval_params = ['eval_interval', 'print_interval']
+            
+            print("\n[Architecture]")
+            for param in arch_params:
+                if param in config:
+                    print(f"  {param:25s} = {config[param]}")
+            
+            print("\n[Training Hyperparameters]")
+            for param in training_params:
+                if param in config:
+                    print(f"  {param:25s} = {config[param]}")
+            
+            print("\n[Optimizer]")
+            for param in optimizer_params:
+                if param in config:
+                    print(f"  {param:25s} = {config[param]}")
+            
+            print("\n[Data Augmentation]")
+            for param in augmentation_params:
+                if param in config:
+                    print(f"  {param:25s} = {config[param]}")
+            
+            print("\n[Input/Output]")
+            for param in input_params:
+                if param in config:
+                    print(f"  {param:25s} = {config[param]}")
+            
+            print("\n[Evaluation]")
+            for param in eval_params:
+                if param in config:
+                    print(f"  {param:25s} = {config[param]}")
+            
+            print(f"\n✓ Successfully loaded {len(config)} parameters")
+            
+        except Exception as e:
+            print(f"✗ Error loading config: {e}")
+    
+    print("\n" + "="*80)
+    print("Test Complete")
+    print("="*80)
+
+if __name__ == '__main__':
+    test_base_configs()