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# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import atexit
import os
from typing import Any, Optional
import torch.distributed as dist
from loguru._logger import Core, Logger
from tqdm import tqdm
RANK0_ONLY = True
LEVEL = os.environ.get("LOGURU_LEVEL", "INFO")
logger = Logger(
core=Core(),
exception=None,
depth=1,
record=False,
lazy=False,
colors=False,
raw=False,
capture=True,
patchers=[],
extra={},
)
atexit.register(logger.remove)
def _add_relative_path(record: dict[str, Any]) -> None:
start = os.getcwd()
record["extra"]["relative_path"] = os.path.relpath(record["file"].path, start)
*options, _, extra = logger._options # type: ignore
logger._options = tuple([*options, [_add_relative_path], extra]) # type: ignore
def init_loguru_stdout() -> None:
logger.remove()
machine_format = get_machine_format()
message_format = get_message_format()
logger.add(
lambda msg: tqdm.write(msg, end=""), # stdout is replaced with tqdm.write to avoid tqdm log pollution..
level=LEVEL,
format="[<green>{time:MM-DD HH:mm:ss}</green>|" f"{machine_format}" f"{message_format}",
filter=_rank0_only_filter,
)
def init_loguru_file(path: str) -> None:
machine_format = get_machine_format()
message_format = get_message_format()
logger.add(
path,
encoding="utf8",
level=LEVEL,
format="[<green>{time:MM-DD HH:mm:ss}</green>|" f"{machine_format}" f"{message_format}",
rotation="100 MB",
filter=lambda result: _rank0_only_filter(result) or not RANK0_ONLY,
enqueue=True,
)
def get_machine_format() -> str:
node_id = os.environ.get("NGC_ARRAY_INDEX", "0")
num_nodes = int(os.environ.get("NGC_ARRAY_SIZE", "1"))
machine_format = ""
rank = 0
if dist.is_available():
if not RANK0_ONLY and dist.is_initialized():
rank = dist.get_rank()
world_size = dist.get_world_size()
machine_format = (
f"<red>[Node{node_id:<3}/{num_nodes:<3}][RANK{rank:<5}/{world_size:<5}]" + "[{process.name:<8}]</red>| "
)
return machine_format
def get_message_format() -> str:
message_format = "<level>{level}</level>|<cyan>{extra[relative_path]}:{line}:{function}</cyan>] {message}"
return message_format
def _rank0_only_filter(record: Any) -> bool:
is_rank0 = record["extra"].get("rank0_only", True)
if _get_rank() == 0 and is_rank0:
return True
if not is_rank0:
record["message"] = f"[RANK {_get_rank()}] " + record["message"]
return not is_rank0
def trace(message: str, rank0_only: bool = True) -> None:
logger.opt(depth=1).bind(rank0_only=rank0_only).trace(message)
def debug(message: str, rank0_only: bool = True) -> None:
logger.opt(depth=1).bind(rank0_only=rank0_only).debug(message)
def info(message: str, rank0_only: bool = True) -> None:
logger.opt(depth=1).bind(rank0_only=rank0_only).info(message)
def success(message: str, rank0_only: bool = True) -> None:
logger.opt(depth=1).bind(rank0_only=rank0_only).success(message)
def warning(message: str, rank0_only: bool = True) -> None:
logger.opt(depth=1).bind(rank0_only=rank0_only).warning(message)
def error(message: str, rank0_only: bool = True) -> None:
logger.opt(depth=1).bind(rank0_only=rank0_only).error(message)
def critical(message: str, rank0_only: bool = True) -> None:
logger.opt(depth=1).bind(rank0_only=rank0_only).critical(message)
def exception(message: str, rank0_only: bool = True) -> None:
logger.opt(depth=1).bind(rank0_only=rank0_only).exception(message)
def _get_rank(group: Optional[dist.ProcessGroup] = None) -> int:
"""Get the rank (GPU device) of the worker.
Returns:
rank (int): The rank of the worker.
"""
rank = 0
if dist.is_available() and dist.is_initialized():
rank = dist.get_rank(group)
return rank
# Execute at import time.
init_loguru_stdout()
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