export CUDA_DEVICE_MAX_CONNECTIONS=1 options=" \ --apply-layernorm-1p \ --untie-embeddings-and-output-weights \ --disable-bias-linear \ --no-position-embedding \ --use-rotary-position-embeddings \ --rotary-percent 0.5 \ --squared-relu \ --attention-dropout 0.0 \ --hidden-dropout 0.0 ...
78: 'hair drier', 79: 'toothbrush'} WARNING ⚠️ TensorRT requires GPU export, automatically assigning device=0 Ultralytics YOLOv8.0.210 🚀 Python-3.8.10 torch-2.0.0+nv23.05 CUDA:0 (Orin, 30592MiB) YOLOv8n summary (fused): 168 layers, 3151904 parameters, 0 gradients, 8.7 GFLOPs ...