wehub-resource-sync
48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
# Copyright 2024 MIT Han Lab
|
|
#
|
|
# 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.
|
|
#
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
|
|
from typing import Union
|
|
|
|
import torch
|
|
|
|
from ...apps.utils.dist import sync_tensor
|
|
|
|
__all__ = ["AverageMeter"]
|
|
|
|
|
|
class AverageMeter:
|
|
"""Computes and stores the average and current value."""
|
|
|
|
def __init__(self, is_distributed=True):
|
|
self.is_distributed = is_distributed
|
|
self.sum = 0
|
|
self.count = 0
|
|
|
|
def _sync(self, val: Union[torch.Tensor, int, float]) -> Union[torch.Tensor, int, float]:
|
|
return sync_tensor(val, reduce="sum") if self.is_distributed else val
|
|
|
|
def update(self, val: Union[torch.Tensor, int, float], delta_n=1):
|
|
self.count += self._sync(delta_n)
|
|
self.sum += self._sync(val * delta_n)
|
|
|
|
def get_count(self) -> Union[torch.Tensor, int, float]:
|
|
return self.count.item() if isinstance(self.count, torch.Tensor) and self.count.numel() == 1 else self.count
|
|
|
|
@property
|
|
def avg(self):
|
|
avg = -1 if self.count == 0 else self.sum / self.count
|
|
return avg.item() if isinstance(avg, torch.Tensor) and avg.numel() == 1 else avg
|