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ultralytics 8.0.204 Segment ONNX Runtime example (#6088)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Kapil Raj <103250862+raj-kapil@users.noreply.github.com>
Co-authored-by: jamjamjon <51357717+jamjamjon@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: snyk-bot <snyk-bot@snyk.io>
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Glenn Jocher 2023-11-02 21:17:00 +01:00 • committed by GitHub
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ultralytics/utils/autobatch.py
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@ -34,7 +34,7 @@ def autobatch(model, imgsz=640, fraction=0.60, batch_size=DEFAULT_CFG.batch):
Args:
model (torch.nn.module): YOLO model to compute batch size for.
imgsz (int, optional): The image size used as input for the YOLO model. Defaults to 640.
fraction (float, optional): The fraction of available CUDA memory to use. Defaults to 0.67.
fraction (float, optional): The fraction of available CUDA memory to use. Defaults to 0.60.
batch_size (int, optional): The default batch size to use if an error is detected. Defaults to 16.
Returns: