The CUDA architecture in PyTorch leverages the power of GPUs to speed up computations by using the parallel computing power of NVIDIA. Deep learning models are trained using GPU memory, which stores ...
python demo/image_demo.py demo/demo.jpg oriented_rcnn_r50_fpn_1x_dota_le90.py oriented_rcnn_r50_fpn_1x_dota_le90-6d2b2ce0.pth --out-file result.jpg Error detail is ...
Today I ran into this error: RuntimeError: Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you must use the 'spawn' start method I saw #1494 and it seems pretty ...
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