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