__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 | |