mirror of https://github.com/hpcaitech/ColossalAI
24 lines
937 B
Python
24 lines
937 B
Python
import torch.distributed.optim as dist_optim
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import torch.nn as nn
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import torch.optim as optim
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import torchvision.models as tv_models
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import torchvision.datasets as tv_datasets
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from torchvision import transforms
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from .registry import Registry
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LAYERS = Registry("layers", third_party_library=[nn])
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LOSSES = Registry("losses")
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MODELS = Registry("models", third_party_library=[tv_models])
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OPTIMIZERS = Registry("optimizers", third_party_library=[optim, dist_optim])
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DATASETS = Registry("datasets", third_party_library=[tv_datasets])
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DIST_GROUP_INITIALIZER = Registry("dist_group_initializer")
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GRADIENT_HANDLER = Registry("gradient_handler")
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LOSSES = Registry("losses", third_party_library=[nn])
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HOOKS = Registry("hooks")
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TRANSFORMS = Registry("transforms", third_party_library=[transforms])
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DATA_SAMPLERS = Registry("data_samplers")
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LR_SCHEDULERS = Registry("lr_schedulers")
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SCHEDULE = Registry("schedules")
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OPHOOKS = Registry("ophooks")
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