Traceback (most recent call last):


 "./pytorch/train.py", line 674, in <module>

fire.Fire()


 "/opt/conda/lib/python3.6/site-packages/fire/core.py", line 138, in Fire

component_trace = _Fire(component, args, parsed_flag_args, context, name)


 "/opt/conda/lib/python3.6/site-packages/fire/core.py", line 468, in _Fire

target=component.__name__)


 "/opt/conda/lib/python3.6/site-packages/fire/core.py", line 672, in _CallAndUpdateTrace

component = fn(*varargs, **kwargs)


 "./pytorch/train.py", line 490, in evaluate

torchplus.train.try_restore_latest_checkpoints(model_dir, [net])


 "/workspace/second.pytorch/torchplus/train/checkpoint.py", line 149, in try_restore_latest_checkpoints

restore(latest_ckpt, model, map_func)


 "/workspace/second.pytorch/torchplus/train/checkpoint.py", line 120, in restore

model.load_state_dict(state_dict)


 "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py", line 1049, in load_state_dict

self.__class__.__name__, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for VoxelNet:

Traceback (most recent call last):


 "train.py", line 347, in <module>

train(args, dataset, generator, discriminator, device)


 "train.py", line 167, in train

fake_predict.backward()


 "/home/edward/anaconda3/lib/python3.6/site-packages/torch/tensor.py", line 195, in backward

torch.autograd.backward(self, gradient, retain_graph, create_graph)


 "/home/edward/anaconda3/lib/python3.6/site-packages/torch/autograd/__init__.py", line 99, in backward

allow_unreachable=True)
# allow_unreachable flag
RuntimeError: cuDNN error: CUDNN_STATUS_NOT_SUPPORTED. This error may appear if you passed in a non-contiguous input.
