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| 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
