• [2020-05-30 17:44:42 +0000] [18] [INFO] Starting gunicorn 19.8.1

• [2020-05-30 17:44:42 +0000] [18] [INFO] Listening at: http://0.0.0.0:8080 (18)

• [2020-05-30 17:44:42 +0000] [18] [INFO] Using worker: sync

• [2020-05-30 17:44:42 +0000] [21] [INFO] Booting worker with pid: 21

• [2020-05-30 17:44:45 +0000] [21] [ERROR] Exception in worker process

• Traceback (most recent call last):

• File "/usr/local/lib/python3.6/site-packages/gunicorn/arbiter.py", line 583, in spawn_worker

• worker.init_process()

• File "/usr/local/lib/python3.6/site-packages/gunicorn/workers/base.py", line 129, in init_process

• self.load_wsgi()

• File "/usr/local/lib/python3.6/site-packages/gunicorn/workers/base.py", line 138, in load_wsgi

• self.wsgi = self.app.wsgi()

• File "/usr/local/lib/python3.6/site-packages/gunicorn/app/base.py", line 67, in wsgi

• self.callable = self.load()

• File "/usr/local/lib/python3.6/site-packages/gunicorn/app/wsgiapp.py", line 52, in load

• return self.load_wsgiapp()

• File "/usr/local/lib/python3.6/site-packages/gunicorn/app/wsgiapp.py", line 41, in load_wsgiapp

• return util.import_app(self.app_uri)

• File "/usr/local/lib/python3.6/site-packages/gunicorn/util.py", line 350, in import_app

• __import__(module)

• File "/home/mind/app.py", line 144, in

• model_service = class_defs[0](model_name, model_path)

• File "/home/mind/model/customize_service.py", line 97, in __init__

• net = build_refinedet(320, num_classes)

• File "/home/mind/model/models/refinedet_test.py", line 242, in build_refinedet

• Namespace(model_name='serve', model_path='/home/mind/model/model.pth', pt_server_name='127.0.0.1', service_file='/home/mind/model/customize_service.py')

• base_ =resnest200()

• File "/home/mind/model/models/refinedet_test.py", line 164, in resnest200

• model = resnest.resnest200_REFINEDET()

• File "/home/mind/model/models/resnest/resnest.py", line 76, in resnest200_REFINEDET

• avd=True, avd_first=False, **kwargs)

• File "/home/mind/model/models/resnest/resnet.py", line 364, in __init__

• conv_layer(3, stem_width, kernel_size=3, stride=2, padding=1, bias=False, **conv_kwargs),

• File "/root/.local/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 332, in __init__

• False, _pair(0), groups, bias, padding_mode)

• File "/root/.local/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 41, in __init__

• out_channels, in_channels // groups, *kernel_size))

• File "/root/.local/lib/python3.6/site-packages/torch/cuda/__init__.py", line 192, in _lazy_init

• _check_driver()

• File "/root/.local/lib/python3.6/site-packages/torch/cuda/__init__.py", line 111, in _check_driver

• of the CUDA driver.""".format(str(torch._C._cuda_getDriverVersion())))

• AssertionError:

• The NVIDIA driver on your system is too old (found version 10000).

• 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.

• [2020-05-30 17:44:45 +0000] [21] [INFO] Worker exiting (pid: 21)

• [2020-05-30 17:44:45 +0000] [18] [INFO] Shutting down: Master

• [2020-05-30 17:44:45 +0000] [18] [INFO] Reason: Worker failed to boot.

        ModelArts 模型部署，依赖 Pytorch 1.3.1，报错驱动版本太旧，该如何升级？