Traceback (most recent call last):

 "./vmware_inventory.py", line 568, in <module>
print(VMWareInventory().show())

 "./vmware_inventory.py", line 109, in __init__
self.do_api_calls_update_cache()

 "./vmware_inventory.py", line 147, in do_api_calls_update_cache
instances = self.get_instances()

 "./vmware_inventory.py", line 282, in get_instances
instances = self._get_instances(kwargs)

 "./vmware_inventory.py", line 307, in _get_instances
ifacts = self.facts_from_vobj(instance)

 "./vmware_inventory.py", line 514, in facts_from_vobj
rdata[method] = self._process_object_types(methodToCall, level=level)

 "./vmware_inventory.py", line 545, in _process_object_types
md = self.facts_from_vobj(vobj, level=(level+1))

 "./vmware_inventory.py", line 487, in facts_from_vobj
rdata[k] = self._process_object_types(v, level=level)

 "./vmware_inventory.py", line 523, in _process_object_types
self.debugl("PROCESSING: %s" % str(vobj))UnicodeEncodeError: 'ascii' codec can't encode character u'\u0159' in position 205: ordinal not in range(128)
Traceback (most recent call last):


 "regression.py", line 81, in <module>

output = F.smooth_l1_loss(fc(batch_x), batch_y)
#Forward pass with a smooth l loss as the loss function


 "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 224, in __call__

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


 "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/linear.py", line 53, in forward

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


 "/usr/local/lib/python2.7/dist-packages/torch/nn/functional.py", line 553, in linear

return torch.addmm(bias, input, weight.t())


 "/usr/local/lib/python2.7/dist-packages/torch/autograd/variable.py", line 924, in addmm

return cls._blas(Addmm, args, False)


 "/usr/local/lib/python2.7/dist-packages/torch/autograd/variable.py", line 920, in _blas

return cls.apply(*(tensors + (alpha, beta, inplace)))


 "/usr/local/lib/python2.7/dist-packages/torch/autograd/_functions/blas.py", line 26, in forward

matrix1, matrix2, out=output)
RuntimeError: size mismatch, m1: [32 x 1], m2: [4 x 1] at /pytorch/torch/lib/TH/generic/THTensorMath.c:1293
