[inference] Refactor inference architecture (#5057)

* [inference] support only TP (#4998) * support only tp * enable tp * add support for bloom (#5008) * [refactor] refactor gptq and smoothquant llama (#5012) * refactor gptq and smoothquant llama * fix import error * fix linear import torch-int * fix smoothquant llama import error * fix import accelerate error * fix bug * fix import smooth cuda * fix smoothcuda * [Inference Refactor] Merge chatglm2 with pp and tp (#5023) merge chatglm with pp and tp * [Refactor] remove useless inference code (#5022) * remove useless code * fix quant model * fix test import bug * mv original inference legacy * fix chatglm2 * [Refactor] refactor policy search and quant type controlling in inference (#5035) * [Refactor] refactor policy search and quant type controling in inference * [inference] update readme (#5051) * update readme * update readme * fix architecture * fix table * fix table * [inference] udpate example (#5053) * udpate example * fix run.sh * fix rebase bug * fix some errors * update readme * add some features * update interface * update readme * update benchmark * add requirements-infer --------- Co-authored-by: Bin Jia <45593998+FoolPlayer@users.noreply.github.com> Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
2025-09-07 03:52:01 +00:00 · 2023-11-19 21:05:05 +08:00
parent bc09b95f50
commit fd6482ad8c
115 changed files with 6027 additions and 1431 deletions
--- a/colossalai/legacy/inference/dynamic_batching/ray_init_config.py
+++ b/colossalai/legacy/inference/dynamic_batching/ray_init_config.py
@@ -0,0 +1,58 @@
+import logging
+
+import yaml
+from pydantic import BaseModel
+
+logger = logging.getLogger(__name__)
+
+
+class EngineArgsClass(BaseModel):
+    """Config for Engine"""
+
+    model: str
+    tensor_parallel_size: int = 2
+    max_batch_size: int = 4
+    max_input_len: int = 128
+    max_output_len: int = 32
+
+
+class RooterArgsClass(BaseModel):
+    """Config for Rooter"""
+
+    max_total_token_num: int = 42
+    batch_max_tokens: int = 42
+    eos_id: int = 0
+    disable_log_stats: bool = False
+    log_stats_interval: int = 10
+    model: str
+
+
+class RayInitConfig(BaseModel):
+    """All-together configs without app router config"""
+
+    engine_config_data: EngineArgsClass
+    router_config_data: RooterArgsClass
+
+    @classmethod
+    def from_yaml_path(cls, path: str):
+        try:
+            with open(path, "r") as yaml_file:
+                try:
+                    config = yaml.safe_load(yaml_file)
+                    # serve deployment config
+                    engine_config = config.get("engine_config", {})
+                    router_config = config.get("router_config", {})
+
+                    return cls(
+                        engine_config_data=engine_config,
+                        router_config_data=router_config,
+                    )
+                except yaml.YAMLError as e:
+                    logger.error(f"An Error occurred when parsing yaml: {e}")
+                    raise
+        except FileNotFoundError:
+            logger.error(f"The file '{path}' does not exist!")
+            raise
+        except OSError as e:
+            logger.error(f"An Error occurred: {e}")
+            raise