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Explore Ultralytics-tailored torch utility features like Model EMA, early stopping, smart inference, image scaling, get_flops, and many more. Ultralytics, Torch Utils, Model EMA, Early Stopping, Smart Inference, Get CPU Info, Time Sync, Fuse Deconv and bn, Get num params, Get FLOPs, Scale img, Copy attr, Intersect dicts, De_parallel, Init seeds, Profile

Reference for ultralytics/utils/torch_utils.py

!!! note

Full source code for this file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/torch_utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/torch_utils.py).

::: ultralytics.utils.torch_utils.ModelEMA




::: ultralytics.utils.torch_utils.EarlyStopping




::: ultralytics.utils.torch_utils.torch_distributed_zero_first




::: ultralytics.utils.torch_utils.smart_inference_mode




::: ultralytics.utils.torch_utils.get_cpu_info




::: ultralytics.utils.torch_utils.select_device




::: ultralytics.utils.torch_utils.time_sync




::: ultralytics.utils.torch_utils.fuse_conv_and_bn




::: ultralytics.utils.torch_utils.fuse_deconv_and_bn




::: ultralytics.utils.torch_utils.model_info




::: ultralytics.utils.torch_utils.get_num_params




::: ultralytics.utils.torch_utils.get_num_gradients




::: ultralytics.utils.torch_utils.model_info_for_loggers




::: ultralytics.utils.torch_utils.get_flops




::: ultralytics.utils.torch_utils.get_flops_with_torch_profiler




::: ultralytics.utils.torch_utils.initialize_weights




::: ultralytics.utils.torch_utils.scale_img




::: ultralytics.utils.torch_utils.make_divisible




::: ultralytics.utils.torch_utils.copy_attr




::: ultralytics.utils.torch_utils.get_latest_opset




::: ultralytics.utils.torch_utils.intersect_dicts




::: ultralytics.utils.torch_utils.is_parallel




::: ultralytics.utils.torch_utils.de_parallel




::: ultralytics.utils.torch_utils.one_cycle




::: ultralytics.utils.torch_utils.init_seeds




::: ultralytics.utils.torch_utils.strip_optimizer




::: ultralytics.utils.torch_utils.profile