Traceback (most recent call last):


 "/usr/bin/isympy", line 11, in <module>

load_entry_point('sympy==1.4', 'console_scripts', 'isympy')()


 "/usr/lib/python3.7/site-packages/isympy.py", line 339, in main

init_session(ipython, **args)


 "/usr/lib/python3.7/site-packages/sympy/interactive/session.py", line 443, in init_session

raise RuntimeError("automatic construction of symbols is possible only in IPython 0.11 or above")
RuntimeError: automatic construction of symbols is possible only in IPython 0.11 or above

Traceback (most recent call last):


 "demo/demo.py", line 106, in <module>

main()


 "demo/demo.py", line 80, in main

predictor = Predictor(cfg, args.model, logger, device='cuda:0')


 "demo/demo.py", line 33, in __init__

self.model = model.to(device).eval()


 "/home/cuc/anaconda3/envs/nanodet/lib/python3.8/site-packages/torch/nn/modules/module.py", line 612, in to

return self._apply(convert)


 "/home/cuc/anaconda3/envs/nanodet/lib/python3.8/site-packages/torch/nn/modules/module.py", line 359, in _apply

module._apply(fn)


 "/home/cuc/anaconda3/envs/nanodet/lib/python3.8/site-packages/torch/nn/modules/module.py", line 359, in _apply

module._apply(fn)


 "/home/cuc/anaconda3/envs/nanodet/lib/python3.8/site-packages/torch/nn/modules/module.py", line 359, in _apply

module._apply(fn)


 "/home/cuc/anaconda3/envs/nanodet/lib/python3.8/site-packages/torch/nn/modules/module.py", line 381, in _apply

param_applied = fn(param)


 "/home/cuc/anaconda3/envs/nanodet/lib/python3.8/site-packages/torch/nn/modules/module.py", line 610, in convert

return t.to(device, dtype if t.is_floating_point() else None, non_blocking)


 "/home/cuc/anaconda3/envs/nanodet/lib/python3.8/site-packages/torch/cuda/__init__.py", line 172, in _lazy_init

torch._C._cuda_init()
RuntimeError: The NVIDIA driver on your system is too old (found version 10020). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver.
