[gpt-oss] Add gpt-oss bf16 support

vllm/logger.py

@@ -0,0 +1,212 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+"""Logging configuration for vLLM."""
+import datetime
+import json
+import logging
+import os
+import sys
+from collections.abc import Hashable
+from functools import lru_cache, partial
+from logging import Logger
+from logging.config import dictConfig
+from os import path
+from types import MethodType
+from typing import Any, Optional, cast
+
+import vllm.envs as envs
+
+VLLM_CONFIGURE_LOGGING = envs.VLLM_CONFIGURE_LOGGING
+VLLM_LOGGING_CONFIG_PATH = envs.VLLM_LOGGING_CONFIG_PATH
+VLLM_LOGGING_LEVEL = envs.VLLM_LOGGING_LEVEL
+VLLM_LOGGING_PREFIX = envs.VLLM_LOGGING_PREFIX
+
+_FORMAT = (f"{VLLM_LOGGING_PREFIX}%(levelname)s %(asctime)s "
+           "[%(filename)s:%(lineno)d] %(message)s")
+_DATE_FORMAT = "%m-%d %H:%M:%S"
+
+DEFAULT_LOGGING_CONFIG = {
+    "formatters": {
+        "vllm": {
+            "class": "vllm.logging_utils.NewLineFormatter",
+            "datefmt": _DATE_FORMAT,
+            "format": _FORMAT,
+        },
+    },
+    "handlers": {
+        "vllm": {
+            "class": "logging.StreamHandler",
+            "formatter": "vllm",
+            "level": VLLM_LOGGING_LEVEL,
+            "stream": "ext://sys.stdout",
+        },
+    },
+    "loggers": {
+        "vllm": {
+            "handlers": ["vllm"],
+            "level": "DEBUG",
+            "propagate": False,
+        },
+    },
+    "version": 1,
+    "disable_existing_loggers": False
+}
+
+
+@lru_cache
+def _print_info_once(logger: Logger, msg: str, *args: Hashable) -> None:
+    # Set the stacklevel to 2 to print the original caller's line info
+    logger.info(msg, *args, stacklevel=2)
+
+
+@lru_cache
+def _print_warning_once(logger: Logger, msg: str, *args: Hashable) -> None:
+    # Set the stacklevel to 2 to print the original caller's line info
+    logger.warning(msg, *args, stacklevel=2)
+
+
+class _VllmLogger(Logger):
+    """
+    Note:
+        This class is just to provide type information.
+        We actually patch the methods directly on the [`logging.Logger`][]
+        instance to avoid conflicting with other libraries such as
+        `intel_extension_for_pytorch.utils._logger`.
+    """
+
+    def info_once(self, msg: str, *args: Hashable) -> None:
+        """
+        As [`info`][logging.Logger.info], but subsequent calls with
+        the same message are silently dropped.
+        """
+        _print_info_once(self, msg, *args)
+
+    def warning_once(self, msg: str, *args: Hashable) -> None:
+        """
+        As [`warning`][logging.Logger.warning], but subsequent calls with
+        the same message are silently dropped.
+        """
+        _print_warning_once(self, msg, *args)
+
+
+def _configure_vllm_root_logger() -> None:
+    logging_config = dict[str, Any]()
+
+    if not VLLM_CONFIGURE_LOGGING and VLLM_LOGGING_CONFIG_PATH:
+        raise RuntimeError(
+            "VLLM_CONFIGURE_LOGGING evaluated to false, but "
+            "VLLM_LOGGING_CONFIG_PATH was given. VLLM_LOGGING_CONFIG_PATH "
+            "implies VLLM_CONFIGURE_LOGGING. Please enable "
+            "VLLM_CONFIGURE_LOGGING or unset VLLM_LOGGING_CONFIG_PATH.")
+
+    if VLLM_CONFIGURE_LOGGING:
+        logging_config = DEFAULT_LOGGING_CONFIG
+
+    if VLLM_LOGGING_CONFIG_PATH:
+        if not path.exists(VLLM_LOGGING_CONFIG_PATH):
+            raise RuntimeError(
+                "Could not load logging config. File does not exist: %s",
+                VLLM_LOGGING_CONFIG_PATH)
+        with open(VLLM_LOGGING_CONFIG_PATH, encoding="utf-8") as file:
+            custom_config = json.loads(file.read())
+
+        if not isinstance(custom_config, dict):
+            raise ValueError("Invalid logging config. Expected dict, got %s.",
+                             type(custom_config).__name__)
+        logging_config = custom_config
+
+    for formatter in logging_config.get("formatters", {}).values():
+        # This provides backwards compatibility after #10134.
+        if formatter.get("class") == "vllm.logging.NewLineFormatter":
+            formatter["class"] = "vllm.logging_utils.NewLineFormatter"
+
+    if logging_config:
+        dictConfig(logging_config)
+
+
+def init_logger(name: str) -> _VllmLogger:
+    """The main purpose of this function is to ensure that loggers are
+    retrieved in such a way that we can be sure the root vllm logger has
+    already been configured."""
+
+    logger = logging.getLogger(name)
+
+    methods_to_patch = {
+        "info_once": _print_info_once,
+        "warning_once": _print_warning_once,
+    }
+
+    for method_name, method in methods_to_patch.items():
+        setattr(logger, method_name, MethodType(method, logger))
+
+    return cast(_VllmLogger, logger)
+
+
+# The root logger is initialized when the module is imported.
+# This is thread-safe as the module is only imported once,
+# guaranteed by the Python GIL.
+_configure_vllm_root_logger()
+
+logger = init_logger(__name__)
+
+
+def _trace_calls(log_path, root_dir, frame, event, arg=None):
+    if event in ['call', 'return']:
+        # Extract the filename, line number, function name, and the code object
+        filename = frame.f_code.co_filename
+        lineno = frame.f_lineno
+        func_name = frame.f_code.co_name
+        if not filename.startswith(root_dir):
+            # only log the functions in the vllm root_dir
+            return
+        # Log every function call or return
+        try:
+            last_frame = frame.f_back
+            if last_frame is not None:
+                last_filename = last_frame.f_code.co_filename
+                last_lineno = last_frame.f_lineno
+                last_func_name = last_frame.f_code.co_name
+            else:
+                # initial frame
+                last_filename = ""
+                last_lineno = 0
+                last_func_name = ""
+            with open(log_path, 'a') as f:
+                ts = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S.%f")
+                if event == 'call':
+                    f.write(f"{ts} Call to"
+                            f" {func_name} in {filename}:{lineno}"
+                            f" from {last_func_name} in {last_filename}:"
+                            f"{last_lineno}\n")
+                else:
+                    f.write(f"{ts} Return from"
+                            f" {func_name} in {filename}:{lineno}"
+                            f" to {last_func_name} in {last_filename}:"
+                            f"{last_lineno}\n")
+        except NameError:
+            # modules are deleted during shutdown
+            pass
+    return partial(_trace_calls, log_path, root_dir)
+
+
+def enable_trace_function_call(log_file_path: str,
+                               root_dir: Optional[str] = None):
+    """
+    Enable tracing of every function call in code under `root_dir`.
+    This is useful for debugging hangs or crashes.
+    `log_file_path` is the path to the log file.
+    `root_dir` is the root directory of the code to trace. If None, it is the
+    vllm root directory.
+
+    Note that this call is thread-level, any threads calling this function
+    will have the trace enabled. Other threads will not be affected.
+    """
+    logger.warning(
+        "VLLM_TRACE_FUNCTION is enabled. It will record every"
+        " function executed by Python. This will slow down the code. It "
+        "is suggested to be used for debugging hang or crashes only.")
+    logger.info("Trace frame log is saved to %s", log_file_path)
+    if root_dir is None:
+        # by default, this is the vllm root directory
+        root_dir = os.path.dirname(os.path.dirname(__file__))
+    sys.settrace(partial(_trace_calls, log_file_path, root_dir))