Traceback (most recent call last):


 "/home/linville/dev/hassenv/lib/python3.5/site-packages/homeassistant/helpers/entity_component.py", line 150, in _async_setup_platform

entity_platform.add_entities, discovery_info


 "/usr/lib/python3.5/asyncio/futures.py", line 361, in __iter__

yield self
# This tells Task to wait for completion.


 "/usr/lib/python3.5/asyncio/tasks.py", line 296, in _wakeup

future.result()


 "/usr/lib/python3.5/asyncio/futures.py", line 274, in result

raise self._exception


 "/usr/lib/python3.5/concurrent/futures/thread.py", line 55, in run

result = self.fn(*self.args, **self.kwargs)


 "/home/linville/dev/hassenv/lib/python3.5/site-packages/homeassistant/components/light/zwave.py", line 55, in setup_platform

name = super().entity_id
RuntimeError: super(): __class__ cell not found

Traceback (most recent call last):


 "/content/OpenNMT-py/onmt/trainer.py", line 347, in _gradient_accumulation

trunc_size=trunc_size)


 "/content/OpenNMT-py/onmt/utils/loss.py", line 158, in __call__

loss, stats = self._compute_loss(batch, **shard)


 "/content/OpenNMT-py/onmt/utils/loss.py", line 233, in _compute_loss

scores = self.generator(bottled_output)


 "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 489, in __call__

result = self.forward(*input, **kwargs)


 "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/container.py", line 92, in forward

input = module(input)


 "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 489, in __call__

result = self.forward(*input, **kwargs)


 "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/linear.py", line 67, in forward

return F.linear(input, self.weight, self.bias)


 "/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py", line 1352, in linear

ret = torch.addmm(torch.jit._unwrap_optional(bias), input, weight.t())
RuntimeError: Expected object of backend CPU but got backend CUDA for argument #4 'mat1'
