Traceback (most recent call last):


 "/home/public/anaconda3/envs/auto-keras/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap

self.run()


 "/home/public/anaconda3/envs/auto-keras/lib/python3.6/multiprocessing/process.py", line 93, in run

self._target(*self._args, **self._kwargs)


 "/home/public/anaconda3/envs/auto-keras/lib/python3.6/site-packages/autokeras/search.py", line 363, in train

raise e


 "/home/public/anaconda3/envs/auto-keras/lib/python3.6/site-packages/autokeras/search.py", line 356, in train

verbose=verbose).train_model(**trainer_args)


 "/home/public/anaconda3/envs/auto-keras/lib/python3.6/site-packages/autokeras/backend/torch/model_trainer.py", line 109, in train_model

self._train()


 "/home/public/anaconda3/envs/auto-keras/lib/python3.6/site-packages/autokeras/backend/torch/model_trainer.py", line 145, in _train

outputs = self.model(inputs)


 "/home/public/anaconda3/envs/auto-keras/lib/python3.6/site-packages/torch/nn/modules/module.py", line 489, in __call__

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


 "/home/public/anaconda3/envs/auto-keras/lib/python3.6/site-packages/autokeras/backend/torch/model.py", line 51, in forward

temp_tensor = torch_layer(edge_input_tensor)


 "/home/public/anaconda3/envs/auto-keras/lib/python3.6/site-packages/torch/nn/modules/module.py", line 489, in __call__

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


 "/home/public/anaconda3/envs/auto-keras/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 187, in forward

self.padding, self.dilation, self.groups)
RuntimeError: Given groups=1, weight of size [2048, 6144, 1], expected input[128, 8192, 128] to have 6144 channels, but got 8192 channels instead

Traceback (most recent call last):


 "/usr/lib/python3.8/site-packages/feeluown/containers/table.py", line 34, in fetch_album_cover

await asyncio.sleep(random.randrange(100) / 100)


 "/usr/lib/python3.8/asyncio/tasks.py", line 637, in sleep

loop = events.get_running_loop()
RuntimeError: no running event loop
