246 lines
9.9 KiB
Python
246 lines
9.9 KiB
Python
import os
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from collections import Counter
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from dataclasses import asdict, is_dataclass
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from pathlib import Path
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from typing import Any
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from omegaconf import OmegaConf
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from vllm.logger import init_logger
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from vllm.transformers_utils.config import get_config, get_hf_file_to_dict
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from vllm.transformers_utils.repo_utils import file_or_path_exists
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from vllm_omni.utils import detect_device_type, is_rocm
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# Get the project root directory (2 levels up from this file)
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PROJECT_ROOT = Path(__file__).parent.parent.parent
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logger = init_logger(__name__)
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def _try_get_class_name_from_diffusers_config(model: str) -> str | None:
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"""Try to get class name from diffusers model configuration files.
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Args:
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model: Model name or path
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Returns:
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Model type string if found, None otherwise
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"""
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model_index = get_hf_file_to_dict("model_index.json", model, revision=None)
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if model_index and isinstance(model_index, dict) and "_class_name" in model_index:
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logger.debug(f"Found model_type '{model_index['_class_name']}' in model_index.json")
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return model_index["_class_name"]
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return None
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def _convert_dataclasses_to_dict(obj: Any) -> Any:
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"""Recursively convert non-serializable objects to OmegaConf-compatible types.
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This is needed because OmegaConf cannot handle:
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- Dataclass objects with Literal type annotations (e.g., StructuredOutputsConfig)
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- Counter objects (from collections or vllm.utils)
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- Set objects
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- Other non-primitive types
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"""
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# IMPORTANT: Check Counter BEFORE dict, since Counter is a subclass of dict
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# Handle Counter objects (convert to dict)
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# Check by class name first to catch both collections.Counter and vllm.utils.Counter
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if hasattr(obj, "__class__") and obj.__class__.__name__ == "Counter":
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try:
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return dict(obj)
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except (TypeError, ValueError):
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# If Counter can't be converted to dict, return empty dict
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return {}
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# Also check isinstance for collections.Counter (must be before dict check)
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if isinstance(obj, Counter):
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return dict(obj)
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# Handle set objects (convert to list)
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if isinstance(obj, set):
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return list(obj)
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# Handle dataclass objects
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# Note: asdict() recursively converts nested dataclasses but not Counter objects,
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# so we need to recursively process the result
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if is_dataclass(obj):
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result = asdict(obj)
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# Recursively process the result to convert any Counter objects
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return _convert_dataclasses_to_dict(result)
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# Handle dictionaries (recurse into values)
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# Note: This must come AFTER Counter check since Counter is a dict subclass
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if isinstance(obj, dict):
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return {k: _convert_dataclasses_to_dict(v) for k, v in obj.items()}
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# Handle lists and tuples (recurse into items)
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if isinstance(obj, (list, tuple)):
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return type(obj)(_convert_dataclasses_to_dict(item) for item in obj)
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# Try to convert any dict-like object (has keys/values methods) to dict
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if hasattr(obj, "keys") and hasattr(obj, "values") and not isinstance(obj, (str, bytes)):
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try:
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return {k: _convert_dataclasses_to_dict(v) for k, v in obj.items()}
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except (TypeError, ValueError, AttributeError):
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# If conversion fails, return as-is
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return obj
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# Primitive types and other objects that OmegaConf can handle
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return obj
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def resolve_model_config_path(model: str) -> str:
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"""Resolve the stage config file path from the model name.
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Resolves stage configuration path based on the model type and device type.
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First tries to find a device-specific YAML file from stage_configs/{device_type}/
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directory. If not found, falls back to the default config file.
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Args:
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model: Model name or path (used to determine model_type)
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Returns:
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String path to the stage configuration file
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Raises:
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ValueError: If model_type cannot be determined
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FileNotFoundError: If no stage config file exists for the model type
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"""
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# Try to get config from standard transformers format first
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try:
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hf_config = get_config(model, trust_remote_code=True)
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model_type = hf_config.model_type
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except (ValueError, Exception):
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# If standard transformers format fails, try diffusers format
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if file_or_path_exists(model, "model_index.json", revision=None):
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model_type = _try_get_class_name_from_diffusers_config(model)
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if model_type is None:
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raise ValueError(
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f"Could not determine model_type for diffusers model: {model}. "
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f"Please ensure the model has 'model_type' in transformer/config.json or model_index.json"
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)
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elif file_or_path_exists(model, "config.json", revision=None):
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# Try to read config.json manually for custom models like Bagel that fail get_config
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# but have a valid config.json with model_type
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try:
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config_dict = get_hf_file_to_dict("config.json", model, revision=None)
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if config_dict and "model_type" in config_dict:
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model_type = config_dict["model_type"]
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else:
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raise ValueError(f"config.json found but missing 'model_type' for model: {model}")
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except Exception as e:
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raise ValueError(f"Failed to read config.json for model: {model}. Error: {e}") from e
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else:
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raise ValueError(
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f"Could not determine model_type for model: {model}. "
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f"Model is not in standard transformers format and does not have model_index.json. "
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f"Please ensure the model has proper configuration files with 'model_type' field"
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)
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device_type = detect_device_type()
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# Try device-specific config first
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if device_type != "cuda" or is_rocm():
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device_config_file = f"vllm_omni/model_executor/stage_configs/{device_type}/{model_type}.yaml"
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if is_rocm():
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device_config_file = f"vllm_omni/model_executor/stage_configs/rocm/{model_type}.yaml"
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device_config_path = PROJECT_ROOT / device_config_file
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if os.path.exists(device_config_path):
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return str(device_config_path)
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# Fall back to default config
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stage_config_file = f"vllm_omni/model_executor/stage_configs/{model_type}.yaml"
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stage_config_path = PROJECT_ROOT / stage_config_file
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if not os.path.exists(stage_config_path):
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return None
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return str(stage_config_path)
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def load_stage_configs_from_model(model: str, base_engine_args: dict | None = None) -> list:
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"""Load stage configurations from model's default config file.
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Loads stage configurations based on the model type and device type.
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First tries to load a device-specific YAML file from stage_configs/{device_type}/
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directory. If not found, falls back to the default config file.
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Args:
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model: Model name or path (used to determine model_type)
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Returns:
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List of stage configuration dictionaries
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Raises:
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FileNotFoundError: If no stage config file exists for the model type
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"""
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if base_engine_args is None:
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base_engine_args = {}
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stage_config_path = resolve_model_config_path(model)
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if stage_config_path is None:
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return []
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stage_configs = load_stage_configs_from_yaml(config_path=stage_config_path, base_engine_args=base_engine_args)
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return stage_configs
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def load_stage_configs_from_yaml(config_path: str, base_engine_args: dict | None = None) -> list:
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"""Load stage configurations from a YAML file.
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Args:
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config_path: Path to the YAML configuration file
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Returns:
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List of stage configuration dictionaries from the file's stage_args
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"""
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if base_engine_args is None:
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base_engine_args = {}
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config_data = OmegaConf.load(config_path)
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stage_args = config_data.stage_args
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# Convert any nested dataclass objects to dicts before creating OmegaConf
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base_engine_args = _convert_dataclasses_to_dict(base_engine_args)
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base_engine_args = OmegaConf.create(base_engine_args)
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for stage_arg in stage_args:
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base_engine_args_tmp = base_engine_args.copy()
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# Update base_engine_args with stage-specific engine_args if they exist
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if hasattr(stage_arg, "engine_args") and stage_arg.engine_args is not None:
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base_engine_args_tmp = OmegaConf.merge(base_engine_args_tmp, stage_arg.engine_args)
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stage_arg.engine_args = base_engine_args_tmp
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return stage_args
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def get_final_stage_id_for_e2e(
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output_modalities: list[str] | None, default_modalities: list[str], stage_list: list
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) -> int:
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"""Get the final stage id for e2e.
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Args:
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stage_list: List of stage configurations
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Returns:
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Final stage id for e2e
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"""
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last_stage_id = len(stage_list) - 1
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if output_modalities is not None:
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prompt_modalities = []
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for modality in output_modalities:
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if modality not in default_modalities:
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logger.warning(f"Invalid output modality: {modality}, ignoring it")
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# TODO: if user specifies unsupported modalities, invalid it and raise an error
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continue
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prompt_modalities.append(modality)
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output_modalities = prompt_modalities
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else:
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output_modalities = default_modalities
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try:
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for _sid in range(last_stage_id, -1, -1):
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if (
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getattr(stage_list[_sid], "final_output", False)
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and stage_list[_sid].final_output_type in output_modalities
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):
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final_stage_id_for_e2e = _sid
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break
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if final_stage_id_for_e2e < 0:
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final_stage_id_for_e2e = last_stage_id
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except Exception as e:
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logger.debug(
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"[Orchestrator] Failed to determine final stage for E2E; \
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falling back to last: %s",
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e,
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exc_info=True,
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)
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final_stage_id_for_e2e = last_stage_id
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return final_stage_id_for_e2e
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