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Fix Triton inference without explicit metadata (#16938)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Olivier Jolly 2024-10-17 02:53:14 +02:00 • committed by GitHub
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ultralytics/nn/autobackend.py
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@ -126,7 +126,7 @@ class AutoBackend(nn.Module):
fp16 &= pt or jit or onnx or xml or engine or nn_module or triton # FP16
nhwc = coreml or saved_model or pb or tflite or edgetpu # BHWC formats (vs torch BCWH)
stride = 32 # default stride
model, metadata = None, None
model, metadata, task = None, None, None
# Set device
cuda = torch.cuda.is_available() and device.type != "cpu" # use CUDA