Source code for utils.batch_norm

# Copyright 2022-present, Lorenzo Bonicelli, Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.

import torch
import torch.nn as nn


[docs] class bn_track_stats: def __init__(self, module: nn.Module, condition=True): """ Context manager for temporarily disabling batch normalization tracking statistics. Args: module (nn.Module): The module containing batch normalization layers. condition (bool, optional): Whether to enable or disable tracking statistics. Defaults to True. """ self.module = module self.enable = condition def __enter__(self): """ Disable batch normalization tracking statistics if the condition is False. """ if not self.enable: for m in self.module.modules(): if isinstance(m, (torch.nn.BatchNorm2d, torch.nn.BatchNorm1d)): m.track_running_stats = False def __exit__(self, type, value, traceback): """ Enable batch normalization tracking statistics if the condition is False. """ if not self.enable: for m in self.module.modules(): if isinstance(m, (torch.nn.BatchNorm2d, torch.nn.BatchNorm1d)): m.track_running_stats = True