add more logs

app.py

@@ -181,12 +181,15 @@ for file_path in text_encoder_files:
 logger.info("All required model files are ready")
 
 args = create_args()
+logger.info(f"Created args, val_disable_autocast: {hasattr(args, 'val_disable_autocast')} = {getattr(args, 'val_disable_autocast', 'NOT SET')}")
 hunyuan_video_sampler = HunyuanVideoSampler.from_pretrained(
     args.ckpt, 
     args=args, 
     device=torch.device("cpu")
 )
+logger.info(f"After from_pretrained, sampler.args has val_disable_autocast: {hasattr(hunyuan_video_sampler.args, 'val_disable_autocast')} = {getattr(hunyuan_video_sampler.args, 'val_disable_autocast', 'NOT SET')}")
 args = hunyuan_video_sampler.args
+logger.info(f"After reassigning args, val_disable_autocast: {hasattr(args, 'val_disable_autocast')} = {getattr(args, 'val_disable_autocast', 'NOT SET')}")
 
 if args.cpu_offload:
     from diffusers.hooks import apply_group_offloading
@@ -290,6 +293,9 @@ def generate_video(
             progress(0.3 + (0.6 * idx / len(action_list)), 
                     desc=f"Generating segment {idx+1}/{len(action_list)} (action: {action_id})")
             
+            logger.info(f"Before predict call {idx}, args has val_disable_autocast: {hasattr(args, 'val_disable_autocast')} = {getattr(args, 'val_disable_autocast', 'NOT SET')}")
+            logger.info(f"hunyuan_video_sampler.args has val_disable_autocast: {hasattr(hunyuan_video_sampler.args, 'val_disable_autocast')} = {getattr(hunyuan_video_sampler.args, 'val_disable_autocast', 'NOT SET')}")
+            
             outputs = hunyuan_video_sampler.predict(
                 prompt=prompt,
                 action_id=action_id,

hymm_sp/diffusion/pipelines/pipeline_hunyuan_video_game.py

@@ -938,6 +938,10 @@ class HunyuanVideoGamePipeline(DiffusionPipeline):
         )
 
         target_dtype = PRECISION_TO_TYPE[self.args.precision]
+        logger.info(f"Pipeline: self.args has val_disable_autocast: {hasattr(self.args, 'val_disable_autocast')}")
+        if not hasattr(self.args, 'val_disable_autocast'):
+            logger.warning(f"Pipeline: val_disable_autocast not found in args! Setting to False as default.")
+            self.args.val_disable_autocast = False
         autocast_enabled = (target_dtype != torch.float32) and not self.args.val_disable_autocast
         vae_dtype = PRECISION_TO_TYPE[self.args.vae_precision]
         vae_autocast_enabled = (vae_dtype != torch.float32) and not self.args.val_disable_autocast