31 lines
1.2 KiB
Python
31 lines
1.2 KiB
Python
# Copyright 2024 Bytedance Ltd. and/or its affiliates
|
|
#
|
|
# 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 torch
|
|
import torch.distributed as dist
|
|
import logging
|
|
|
|
|
|
def log_gpu_memory_usage(head: str, logger: logging.Logger = None, level=logging.DEBUG, rank: int = 0):
|
|
if (not dist.is_initialized()) or (rank is None) or (dist.get_rank() == rank):
|
|
memory_allocated = torch.cuda.memory_allocated() / 1024**3
|
|
memory_reserved = torch.cuda.memory_reserved() / 1024**3
|
|
|
|
message = f'{head}, memory allocated (GB): {memory_allocated}, memory reserved (GB): {memory_reserved}'
|
|
|
|
if logger is None:
|
|
print(message)
|
|
else:
|
|
logger.log(msg=message, level=level)
|