Traceback (most recent call last):


 "/usr/lib/python3.4/site-packages/salt/utils/templates.py", line 170, in render_tmpl

output = render_str(tmplstr, context, tmplpath)


 "/usr/lib/python3.4/site-packages/salt/utils/templates.py", line 403, in render_jinja_tmpl

buf=tmplstr)
salt.exceptions.SaltRenderError: Jinja variable 'dict object' has no attribute 'pillar'

Traceback (most recent call last):


 "bert/run.py", line 139, in <module>

multi_label=True, logging_steps=0)


 "/home/gcp/base/lib/python3.7/site-packages/fast_bert/learner_cls.py", line 163, in from_pretrained_model

model.to(device)


 "/home/gcp/base/lib/python3.7/site-packages/torch/nn/modules/module.py", line 443, in to

return self._apply(convert)


 "/home/gcp/base/lib/python3.7/site-packages/torch/nn/modules/module.py", line 203, in _apply

module._apply(fn)


 "/home/gcp/base/lib/python3.7/site-packages/torch/nn/modules/module.py", line 203, in _apply

module._apply(fn)


 "/home/gcp/base/lib/python3.7/site-packages/torch/nn/modules/module.py", line 203, in _apply

module._apply(fn)


 "/home/gcp/base/lib/python3.7/site-packages/torch/nn/modules/module.py", line 225, in _apply

param_applied = fn(param)


 "/home/gcp/base/lib/python3.7/site-packages/torch/nn/modules/module.py", line 441, in convert

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


 "/home/gcp/base/lib/python3.7/site-packages/torch/cuda/__init__.py", line 153, in _lazy_init

torch._C._cuda_init()
RuntimeError: cuda runtime error (100) : no CUDA-capable device is detected at /pytorch/aten/src/THC/THCGeneral.cpp:47‹ collapse
