2.4 KiB
| description | keywords |
|---|---|
| Optimize your PyTorch models with Ultralytics YOLO's torch_utils functions such as ModelEMA, select_device, and is_parallel. | Ultralytics YOLO, Torch, Utils, Pytorch, Object Detection |
ModelEMA
:::ultralytics.yolo.utils.torch_utils.ModelEMA
EarlyStopping
:::ultralytics.yolo.utils.torch_utils.EarlyStopping
torch_distributed_zero_first
:::ultralytics.yolo.utils.torch_utils.torch_distributed_zero_first
smart_inference_mode
:::ultralytics.yolo.utils.torch_utils.smart_inference_mode
select_device
:::ultralytics.yolo.utils.torch_utils.select_device
time_sync
:::ultralytics.yolo.utils.torch_utils.time_sync
fuse_conv_and_bn
:::ultralytics.yolo.utils.torch_utils.fuse_conv_and_bn
fuse_deconv_and_bn
:::ultralytics.yolo.utils.torch_utils.fuse_deconv_and_bn
model_info
:::ultralytics.yolo.utils.torch_utils.model_info
get_num_params
:::ultralytics.yolo.utils.torch_utils.get_num_params
get_num_gradients
:::ultralytics.yolo.utils.torch_utils.get_num_gradients
model_info_for_loggers
:::ultralytics.yolo.utils.torch_utils.model_info_for_loggers
get_flops
:::ultralytics.yolo.utils.torch_utils.get_flops
get_flops_with_torch_profiler
:::ultralytics.yolo.utils.torch_utils.get_flops_with_torch_profiler
initialize_weights
:::ultralytics.yolo.utils.torch_utils.initialize_weights
scale_img
:::ultralytics.yolo.utils.torch_utils.scale_img
make_divisible
:::ultralytics.yolo.utils.torch_utils.make_divisible
copy_attr
:::ultralytics.yolo.utils.torch_utils.copy_attr
get_latest_opset
:::ultralytics.yolo.utils.torch_utils.get_latest_opset
intersect_dicts
:::ultralytics.yolo.utils.torch_utils.intersect_dicts
is_parallel
:::ultralytics.yolo.utils.torch_utils.is_parallel
de_parallel
:::ultralytics.yolo.utils.torch_utils.de_parallel
one_cycle
:::ultralytics.yolo.utils.torch_utils.one_cycle
init_seeds
:::ultralytics.yolo.utils.torch_utils.init_seeds
strip_optimizer
:::ultralytics.yolo.utils.torch_utils.strip_optimizer
profile
:::ultralytics.yolo.utils.torch_utils.profile