HongChuang/ultralytics-ascend
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Fix ONNX GPU inference bug (#6840)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Awsome 2023-12-08 01:44:11 +08:00 • committed by GitHub
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ultralytics/nn/autobackend.py
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@ -101,7 +101,7 @@ class AutoBackend(nn.Module):
# Set device # Set device
cuda = torch.cuda.is_available() and device.type != 'cpu' # use CUDA cuda = torch.cuda.is_available() and device.type != 'cpu' # use CUDA
if cuda and not any([nn_module, pt, jit, engine]): # GPU dataloader formats if cuda and not any([nn_module, pt, jit, engine, onnx]): # GPU dataloader formats
device = torch.device('cpu') device = torch.device('cpu')
cuda = False cuda = False