fix: move deep_update function to trtllm folder (#3070)

Signed-off-by: hongkuanz <hongkuanz@nvidia.com>

benchmarks/profiler/utils/config.py

@@ -159,21 +159,6 @@ def parse_override_engine_args(args: list[str]) -> tuple[dict, list[str]]:
     return override_dict, args
 
 
-def deep_update(target: dict, source: dict) -> None:
-    """
-    Recursively update nested dictionaries.
-
-    Args:
-        target: Dictionary to update
-        source: Dictionary with new values
-    """
-    for key, value in source.items():
-        if isinstance(value, dict) and key in target and isinstance(target[key], dict):
-            deep_update(target[key], value)
-        else:
-            target[key] = value
-
-
 class ConfigModifierProtocol(Protocol):
     @classmethod
     def convert_config(cls, config: dict, target: Literal["prefill", "decode"]) -> dict:

components/backends/trtllm/src/dynamo/trtllm/main.py

@@ -23,7 +23,6 @@ from torch.cuda import device_count
 from transformers import AutoConfig
 
 import dynamo.nixl_connect as nixl_connect
-from benchmarks.profiler.utils.config import deep_update
 from dynamo.llm import ModelInput, ModelRuntimeConfig, ModelType, register_llm
 from dynamo.runtime import DistributedRuntime, dynamo_worker
 from dynamo.runtime.logging import configure_dynamo_logging
@@ -37,6 +36,7 @@ from dynamo.trtllm.request_handlers.handlers import (
 from dynamo.trtllm.utils.trtllm_utils import (
     Config,
     cmd_line_args,
+    deep_update,
     is_first_worker,
     parse_endpoint,
 )

components/backends/trtllm/src/dynamo/trtllm/utils/trtllm_utils.py

@@ -368,3 +368,18 @@ def cmd_line_args():
     config.tool_call_parser = args.dyn_tool_call_parser
 
     return config
+
+
+def deep_update(target: dict, source: dict) -> None:
+    """
+    Recursively update nested dictionaries.
+
+    Args:
+        target: Dictionary to update
+        source: Dictionary with new values
+    """
+    for key, value in source.items():
+        if isinstance(value, dict) and key in target and isinstance(target[key], dict):
+            deep_update(target[key], value)
+        else:
+            target[key] = value