Download pytorch-image-models/timm/optim/__init__.py from datacomp/ImageNetTraining0.0-1over32: direct link, hf CLI and curl.
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- Download file 1.2 kB
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https://huggingface.co/datasets/datacomp/ImageNetTraining0.0-1over32/resolve/main/pytorch-image-models/timm/optim/__init__.py
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hf download hf://datasets/datacomp/ImageNetTraining0.0-1over32/pytorch-image-models/timm/optim/__init__.py
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curl -L -o __init__.py https://huggingface.co/datasets/datacomp/ImageNetTraining0.0-1over32/resolve/main/pytorch-image-models/timm/optim/__init__.py
1.2 kB
| from .adabelief import AdaBelief | |
| from .adafactor import Adafactor | |
| from .adafactor_bv import AdafactorBigVision | |
| from .adahessian import Adahessian | |
| from .adamp import AdamP | |
| from .adamw import AdamWLegacy | |
| from .adan import Adan | |
| from .adopt import Adopt | |
| from .lamb import Lamb | |
| from .laprop import LaProp | |
| from .lars import Lars | |
| from .lion import Lion | |
| from .lookahead import Lookahead | |
| from .madgrad import MADGRAD | |
| from .mars import Mars | |
| from .nadam import NAdamLegacy | |
| from .nadamw import NAdamW | |
| from .nvnovograd import NvNovoGrad | |
| from .radam import RAdamLegacy | |
| from .rmsprop_tf import RMSpropTF | |
| from .sgdp import SGDP | |
| from .sgdw import SGDW | |
| # bring common torch.optim Optimizers into timm.optim namespace for consistency | |
| from torch.optim import Adadelta, Adagrad, Adamax, Adam, AdamW, RMSprop, SGD | |
| try: | |
| # in case any very old torch versions being used | |
| from torch.optim import NAdam, RAdam | |
| except ImportError: | |
| pass | |
| from ._optim_factory import list_optimizers, get_optimizer_class, get_optimizer_info, OptimInfo, OptimizerRegistry, \ | |
| create_optimizer_v2, create_optimizer, optimizer_kwargs | |
| from ._param_groups import param_groups_layer_decay, param_groups_weight_decay, auto_group_layers | |