
Comment: An exception occurred in this state: Traceback (most recent call last):


 "/usr/lib/python3.6/site-packages/salt/state.py", line 1933, in call

**cdata['kwargs'])


 "/usr/lib/python3.6/site-packages/salt/loader.py", line 1939, in wrapper

return f(*args, **kwargs)


 "/usr/lib/python3.6/site-packages/salt/states/x509.py", line 502, in certificate_managed

new = __salt__['x509.create_certificate'](testrun=True, **kwargs)


 "/usr/lib/python3.6/site-packages/salt/modules/x509.py", line 1399, in create_certificate

timeout=30


 "/usr/lib/python3.6/site-packages/salt/modules/publish.py", line 263, in publish

via_master=via_master)


 "/usr/lib/python3.6/site-packages/salt/modules/publish.py", line 143, in _publish

returned_minions = set(ret.keys())

AttributeError: 'str' object has no attribute 'keys'
```

| epoch 001:
0%|
| 0/1090 [00:00<?, ?it/s]Traceback (most recent call last):


 "train.py", line 29, in <module>

main(args)


 "train.py", line 23, in main

singleprocess_main(args)


 "/home/kuncheng/Code/video_caption/fairseq/singleprocess_train.py", line 79, in main

train(args, trainer, dataset, epoch, batch_offset)


 "/home/kuncheng/Code/video_caption/fairseq/singleprocess_train.py", line 138, in train

log_output = trainer.train_step(sample)


 "/home/kuncheng/Code/video_caption/fairseq/fairseq/trainer.py", line 94, in train_step

loss, sample_sizes, logging_outputs, ooms_fwd = self._forward(sample)


 "/home/kuncheng/Code/video_caption/fairseq/fairseq/trainer.py", line 142, in _forward

loss, sample_size, logging_output_ = self.criterion(self.model, sample)


 "/home/kuncheng/anaconda3/envs/torch36/lib/python3.6/site-packages/torch/nn/modules/module.py", line 357, in __call__

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


 "/home/kuncheng/Code/video_caption/fairseq/fairseq/criterions/cross_entropy.py", line 28, in forward

net_output = model(**sample['net_input'])


 "/home/kuncheng/anaconda3/envs/torch36/lib/python3.6/site-packages/torch/nn/modules/module.py", line 357, in __call__

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


 "/home/kuncheng/Code/video_caption/fairseq/fairseq/models/fairseq_model.py", line 43, in forward

encoder_out = self.encoder(src_tokens, src_lengths)


 "/home/kuncheng/anaconda3/envs/torch36/lib/python3.6/site-packages/torch/nn/modules/module.py", line 357, in __call__

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


 "/home/kuncheng/Code/video_caption/fairseq/fairseq/models/fconv.py", line 122, in forward

x = conv(x)


 "/home/kuncheng/anaconda3/envs/torch36/lib/python3.6/site-packages/torch/nn/modules/module.py", line 357, in __call__

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


 "/home/kuncheng/Code/video_caption/fairseq/fairseq/modules/conv_tbc.py", line 32, in forward

return input.contiguous().conv_tbc(self.weight, self.bias, self.padding[0])


 "/home/kuncheng/anaconda3/envs/torch36/lib/python3.6/site-packages/torch/autograd/variable.py", line 67, in __getattr__

return object.__getattribute__(self, name)
AttributeError: 'Variable' object has no attribute 'conv_tbc'