Add docstrings to YOLOv5 functions (#12760)

* Add docstrings to top level files

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* Update activations.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

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---------

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn JocherandUltralyticsAssistant authored and GitHub committed 2024-02-25 14:04:01 +01:00
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@@ -11,13 +11,13 @@ from utils.torch_utils import profile
def check_train_batch_size(model, imgsz=640, amp=True):
# Check YOLOv5 training batch size
"""Checks and computes optimal training batch size for YOLOv5 model, given image size and AMP setting."""
with torch.cuda.amp.autocast(amp):
return autobatch(deepcopy(model).train(), imgsz) # compute optimal batch size
def autobatch(model, imgsz=640, fraction=0.8, batch_size=16):
# Automatically estimate best YOLOv5 batch size to use `fraction` of available CUDA memory
"""Estimates optimal YOLOv5 batch size using `fraction` of CUDA memory."""
# Usage:
# import torch
# from utils.autobatch import autobatch