| |
| from mmengine.utils.dl_utils import TORCH_VERSION |
| from mmengine.utils.version_utils import digit_version |
| from .averaged_model import (BaseAveragedModel, ExponentialMovingAverage, |
| MomentumAnnealingEMA, StochasticWeightAverage) |
| from .base_model import BaseDataPreprocessor, BaseModel, ImgDataPreprocessor |
| from .base_module import BaseModule, ModuleDict, ModuleList, Sequential |
| from .utils import (convert_sync_batchnorm, detect_anomalous_params, |
| merge_dict, revert_sync_batchnorm, stack_batch) |
| from .weight_init import (BaseInit, Caffe2XavierInit, ConstantInit, |
| KaimingInit, NormalInit, PretrainedInit, |
| TruncNormalInit, UniformInit, XavierInit, |
| bias_init_with_prob, caffe2_xavier_init, |
| constant_init, initialize, kaiming_init, normal_init, |
| trunc_normal_init, uniform_init, update_init_info, |
| xavier_init) |
| from .wrappers import (BaseTTAModel, MMDistributedDataParallel, |
| MMSeparateDistributedDataParallel, is_model_wrapper) |
|
|
| __all__ = [ |
| 'MMDistributedDataParallel', 'is_model_wrapper', 'BaseAveragedModel', |
| 'StochasticWeightAverage', 'ExponentialMovingAverage', |
| 'MomentumAnnealingEMA', 'BaseModel', 'BaseDataPreprocessor', |
| 'ImgDataPreprocessor', 'MMSeparateDistributedDataParallel', 'BaseModule', |
| 'stack_batch', 'merge_dict', 'detect_anomalous_params', 'ModuleList', |
| 'ModuleDict', 'Sequential', 'revert_sync_batchnorm', 'update_init_info', |
| 'constant_init', 'xavier_init', 'normal_init', 'trunc_normal_init', |
| 'uniform_init', 'kaiming_init', 'caffe2_xavier_init', |
| 'bias_init_with_prob', 'BaseInit', 'ConstantInit', 'XavierInit', |
| 'NormalInit', 'TruncNormalInit', 'UniformInit', 'KaimingInit', |
| 'Caffe2XavierInit', 'PretrainedInit', 'initialize', |
| 'convert_sync_batchnorm', 'BaseTTAModel' |
| ] |
|
|
| if digit_version(TORCH_VERSION) >= digit_version('1.11.0'): |
| from .wrappers import MMFullyShardedDataParallel |
| __all__.append('MMFullyShardedDataParallel') |
|
|
