| __init__(self, num_features, eps=1e-5, momentum=0.1, affine=True, track_running_stats=True, process_group=None) (defined in torch.nn.modules.batchnorm.SyncBatchNorm) | torch.nn.modules.batchnorm.SyncBatchNorm | |
| __init__(self, num_features, eps=1e-5, momentum=0.1, affine=True, track_running_stats=True) (defined in torch.nn.modules.batchnorm._BatchNorm) | torch.nn.modules.batchnorm._BatchNorm | |
| affine (defined in torch.nn.modules.batchnorm._BatchNorm) | torch.nn.modules.batchnorm._BatchNorm | |
| bias (defined in torch.nn.modules.batchnorm._BatchNorm) | torch.nn.modules.batchnorm._BatchNorm | |
| ddp_gpu_size (defined in torch.nn.modules.batchnorm.SyncBatchNorm) | torch.nn.modules.batchnorm.SyncBatchNorm | |
| eps (defined in torch.nn.modules.batchnorm._BatchNorm) | torch.nn.modules.batchnorm._BatchNorm | |
| extra_repr(self) (defined in torch.nn.modules.batchnorm._BatchNorm) | torch.nn.modules.batchnorm._BatchNorm | |
| forward(self, input) (defined in torch.nn.modules.batchnorm.SyncBatchNorm) | torch.nn.modules.batchnorm.SyncBatchNorm | |
| momentum (defined in torch.nn.modules.batchnorm._BatchNorm) | torch.nn.modules.batchnorm._BatchNorm | |
| num_features (defined in torch.nn.modules.batchnorm._BatchNorm) | torch.nn.modules.batchnorm._BatchNorm | |
| process_group (defined in torch.nn.modules.batchnorm.SyncBatchNorm) | torch.nn.modules.batchnorm.SyncBatchNorm | |
| reset_parameters(self) (defined in torch.nn.modules.batchnorm._BatchNorm) | torch.nn.modules.batchnorm._BatchNorm | |
| reset_running_stats(self) (defined in torch.nn.modules.batchnorm._BatchNorm) | torch.nn.modules.batchnorm._BatchNorm | |
| track_running_stats (defined in torch.nn.modules.batchnorm._BatchNorm) | torch.nn.modules.batchnorm._BatchNorm | |
| weight (defined in torch.nn.modules.batchnorm._BatchNorm) | torch.nn.modules.batchnorm._BatchNorm | |