Merge pull request #48 from Azure-Tang/main

[fix] Fix bugs about static cache and server param;

ktransformers/server/backend/interfaces/ktransformers.py

@@ -25,8 +25,10 @@ class KTransformersInterface(TransformersInterface):
 
         with torch.device("meta"):
             self.model=custom_models[config.architectures[0]](config)
-
+        if default_args.optimize_config_path is not None:
             optimize_rule_path = default_optimize_rules[config.architectures[0]]
+        else:
+            optimize_rule_path = args.optimize_config_path
                 
         # print(optimize_config)
 
@@ -38,10 +40,10 @@ class KTransformersInterface(TransformersInterface):
         optimize_and_load_gguf(self.model, optimize_rule_path, gguf_path, config)
 
         
-    
-        logger.info(f'{args.model_name} loaded from {args.model_dir} to {args.device}')
-        self.cache = StaticCache(config=self.model.config, max_batch_size=args.batch_size, max_cache_len=args.cache_lens, device=args.device, dtype=self.model.dtype)
-        logger.info(f'StaticCache (length={args.cache_lens}) created at {args.device}, batch size:{args.batch_size}')
+        device_map = self.model.gguf_loader.tensor_device_map
+        logger.info(f'{args.model_name} loaded from {args.model_dir} to {device_map}')
+        self.cache = StaticCache(config=self.model.config, max_batch_size=args.batch_size, max_cache_len=args.cache_lens, device=device_map, dtype=self.model.dtype)
+        logger.info(f'StaticCache (length={args.cache_lens}) created at {device_map}, batch size:{args.batch_size}')
         self.model.generation_config = GenerationConfig.from_pretrained(args.model_dir)
         if self.model.generation_config.pad_token_id is None:
             self.model.generation_config.pad_token_id = self.model.generation_config.eos_token_id
@@ -63,7 +65,7 @@ class KTransformersInterface(TransformersInterface):
             return self.logits_to_token(logits)
         
         if self.use_static_cache:
-            mask = torch.ones((1,self.seq_length)).to(self.args.device)
+            mask = torch.ones((1,self.seq_length)).to(torch_device)
             logits = self.model(
                 self.current_ids,
                 cache_position=self.active_cache_position,

ktransformers/server/main.py

@@ -107,9 +107,9 @@ def main():
     parser.add_argument("--web", type=bool, default=False)
     parser.add_argument("--model_name", type=str, default=cfg.model_name)
     parser.add_argument("--model_path", type=str, default=cfg.model_path)
-    parser.add_argument("--device", type=str, default=cfg.model_device)
+    parser.add_argument("--device", type=str, default=cfg.model_device, help="Warning: Abandoning this parameter")
     parser.add_argument("--gguf_path", type=str, default=cfg.gguf_path)
-    parser.add_argument("--optimize_config_path", type=str, required=False)
+    parser.add_argument("--optimize_config_path", default=None, type=str, required=False)
     parser.add_argument("--cpu_infer", type=int, default=cfg.cpu_infer)
     parser.add_argument("--type", type=str, default=cfg.backend_type)
 

requirements-local_chat.txt

@@ -3,3 +3,4 @@ transformers
 numpy
 torch>=2.3.0
 packaging
+cpufeature
\ No newline at end of file