Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

AutoBatch report include reserved+allocated #9491

Merged
merged 1 commit into from
Sep 19, 2022
Merged

AutoBatch report include reserved+allocated #9491

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions utils/autobatch.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,7 @@ def check_train_batch_size(model, imgsz=640, amp=True):


def autobatch(model, imgsz=640, fraction=0.8, batch_size=16):
# Automatically estimate best batch size to use `fraction` of available CUDA memory
# Automatically estimate best YOLOv5 batch size to use `fraction` of available CUDA memory
# Usage:
# import torch
# from utils.autobatch import autobatch
Expand Down Expand Up @@ -67,6 +67,6 @@ def autobatch(model, imgsz=640, fraction=0.8, batch_size=16):
b = batch_size
LOGGER.warning(f'{prefix}WARNING ⚠️ CUDA anomaly detected, recommend restart environment and retry command.')

fraction = np.polyval(p, b) / t # actual fraction predicted
fraction = (np.polyval(p, b) + r + a) / t # actual fraction predicted
LOGGER.info(f'{prefix}Using batch-size {b} for {d} {t * fraction:.2f}G/{t:.2f}G ({fraction * 100:.0f}%) ✅')
return b