Traceback (most recent call last):


 "tools/train.py", line 96, in <module>

main()


 "tools/train.py", line 79, in main

cfg.model, train_cfg=cfg.train_cfg, test_cfg=cfg.test_cfg)


 "/home/zhaoqijie/anaconda3/lib/python3.6/site-packages/mmdet-0.5.5+unknown-py3.6.egg/mmdet/models/builder.py", line 57, in build_detector

return build(cfg, detectors, dict(train_cfg=train_cfg, test_cfg=test_cfg))


 "/home/zhaoqijie/anaconda3/lib/python3.6/site-packages/mmdet-0.5.5+unknown-py3.6.egg/mmdet/models/builder.py", line 24, in build

return _build_module(cfg, parrent, default_args)


 "/home/zhaoqijie/anaconda3/lib/python3.6/site-packages/mmdet-0.5.5+unknown-py3.6.egg/mmdet/models/builder.py", line 16, in _build_module

cfg, parrent, default_args)


 "/home/zhaoqijie/anaconda3/lib/python3.6/site-packages/mmcv-0.2.0-py3.6.egg/mmcv/runner/utils.py", line 72, in obj_from_dict

return obj_type(**args)
TypeError: 'module' object is not callable

Traceback (most recent call last):


 "synthesizer_train.py", line 33, in <module>

train(**vars(args))


 "/root/voicecloning/synthesizer/train.py", line 168, in train

m1_hat, m2_hat, attention = data_parallel_workaround(model, x, m, e)


 "/root/voicecloning/synthesizer/utils/__init__.py", line 17, in data_parallel_workaround

outputs = torch.nn.parallel.parallel_apply(replicas, inputs)


 "/opt/conda/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 83, in parallel_apply

raise output


 "/opt/conda/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 59, in _worker

output = module(*input, **kwargs)


 "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in __call__

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


 "/root/voicecloning/synthesizer/models/tacotron.py", line 348, in forward

self.step += 1


 "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py", line 558, in __setattr__

.format(torch.typename(value), name))
TypeError: cannot assign 'torch.cuda.LongTensor' as parameter 'step' (torch.nn.Parameter or None expected)
