ValueError: Expected more than 1 value per channel when training, got input size torch.Size([1, 16])

[BinchaoPeng]

Traceback (most recent call last):
File "/home/pbc/.local/share/JetBrains/Toolbox/apps/PyCharm-P/ch-0/202.7660.27/plugins/python/helpers/pydev/pydevd.py", line 1448, in _exec
pydev_imports.execfile(file, globals, locals) # execute the script
File "/home/pbc/.local/share/JetBrains/Toolbox/apps/PyCharm-P/ch-0/202.7660.27/plugins/python/helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "/home/pbc/Documents/PycharmProjects/SICM6A/SICM6Acodes/2. train-test/SICM6A_train_DeepM6ASeqhsmmds.py", line 375, in
out = model(batch_x)
File "/home/pbc/anaconda3/envs/tf2_pt_kr2/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/pbc/Documents/PycharmProjects/SICM6A/SICM6Acodes/2. train-test/SICM6A_train_DeepM6ASeqhsmmds.py", line 213, in forward
x_5 = self.fc_1(x_4)
File "/home/pbc/anaconda3/envs/tf2_pt_kr2/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/pbc/anaconda3/envs/tf2_pt_kr2/lib/python3.6/site-packages/torch/nn/modules/container.py", line 117, in forward
input = module(input)
File "/home/pbc/anaconda3/envs/tf2_pt_kr2/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/pbc/anaconda3/envs/tf2_pt_kr2/lib/python3.6/site-packages/torch/nn/modules/batchnorm.py", line 136, in forward
self.weight, self.bias, bn_training, exponential_average_factor, self.eps)
File "/home/pbc/anaconda3/envs/tf2_pt_kr2/lib/python3.6/site-packages/torch/nn/functional.py", line 2054, in batch_norm
_verify_batch_size(input.size())
File "/home/pbc/anaconda3/envs/tf2_pt_kr2/lib/python3.6/site-packages/torch/nn/functional.py", line 2037, in _verify_batch_size
raise ValueError('Expected more than 1 value per channel when training, got input size {}'.format(size))
ValueError: Expected more than 1 value per channel when training, got input size torch.Size([1, 16])