Download pytorch-image-models/timm/utils/__init__.py from datacomp/ImageNetTraining0.0-1over32: direct link, hf CLI and curl.
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https://huggingface.co/datasets/datacomp/ImageNetTraining0.0-1over32/resolve/main/pytorch-image-models/timm/utils/__init__.py
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hf download hf://datasets/datacomp/ImageNetTraining0.0-1over32/pytorch-image-models/timm/utils/__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/utils/__init__.py
846 Bytes
| from .agc import adaptive_clip_grad | |
| from .attention_extract import AttentionExtract | |
| from .checkpoint_saver import CheckpointSaver | |
| from .clip_grad import dispatch_clip_grad | |
| from .cuda import ApexScaler, NativeScaler | |
| from .decay_batch import decay_batch_step, check_batch_size_retry | |
| from .distributed import distribute_bn, reduce_tensor, init_distributed_device,\ | |
| world_info_from_env, is_distributed_env, is_primary | |
| from .jit import set_jit_legacy, set_jit_fuser | |
| from .log import setup_default_logging, FormatterNoInfo | |
| from .metrics import AverageMeter, accuracy | |
| from .misc import natural_key, add_bool_arg, ParseKwargs | |
| from .model import unwrap_model, get_state_dict, freeze, unfreeze, reparameterize_model | |
| from .model_ema import ModelEma, ModelEmaV2, ModelEmaV3 | |
| from .random import random_seed | |
| from .summary import update_summary, get_outdir | |