ValueError: some parameters appear in more than one parameter group

[rohit901]

Hi, I was trying to run the network code on some custom data and I'm getting this error ValueError: some parameters appear in more than one parameter group, when I try to initialize my optimizer.

I'm running the code on Jupyter notebook and hence I have only took parts of code which are necessary to build the backbone, ArcFace, bottleneck_ir_se, ir.

After I put this code in my cell:

optimizer = optim.SGD([
    {'params': paras_wo_bn + [head.kernel], 'weight_decay': 5e-4},
    {'params': paras_only_bn}
], lr = lr, momentum = momentum)

I get the following error:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-15-7f153141da86> in <module>
----> 1 optimizer = optim.SGD([
      2     {'params': paras_wo_bn + [head.kernel], 'weight_decay': 5e-4},
      3     {'params': paras_only_bn}
      4 ], lr = lr, momentum = momentum)

~/anaconda3/lib/python3.8/site-packages/torch/optim/sgd.py in __init__(self, params, lr, momentum, dampening, weight_decay, nesterov)
     66         if nesterov and (momentum <= 0 or dampening != 0):
     67             raise ValueError("Nesterov momentum requires a momentum and zero dampening")
---> 68         super(SGD, self).__init__(params, defaults)
     69 
     70     def __setstate__(self, state):

~/anaconda3/lib/python3.8/site-packages/torch/optim/optimizer.py in __init__(self, params, defaults)
     50 
     51         for param_group in param_groups:
---> 52             self.add_param_group(param_group)
     53 
     54     def __getstate__(self):

~/anaconda3/lib/python3.8/site-packages/torch/optim/optimizer.py in add_param_group(self, param_group)
    251 
    252         if not param_set.isdisjoint(set(param_group['params'])):
--> 253             raise ValueError("some parameters appear in more than one parameter group")
    254 
    255         self.param_groups.append(param_group)

ValueError: some parameters appear in more than one parameter group

Can anyone help me know how can I resolve this? Sorry if it's trivial, new to PyTorch.

[maywander]

我遇到了同样的问题，发现问题的原因是数据并行和optim.SGD顺序颠倒。 当编写为 model=Backbone() if torch.cuda.device_count() > 1: model = nn.DataParallel(model,device_ids=[0,1,2,3] model.to(conf.device) optimizer = optim.SGD(,,,,,,,) 发生报错 ———————— 当改成下面结构后报错消失 model=Backbone() optimizer = optim.SGD(,,,,,,,) if torch.cuda.device_count() > 1: model = nn.DataParallel(model,device_ids=[0,1,2,3] model.to(conf.device)

[fffffq99]

Hello, i resolved the problem by changing the code to

model = MobileFaceNet(embedding_size).to(device)

head = Arcface(embedding_size=embedding_size, classnum=6056).to(device)
head_params = [param for name, param in head.named_parameters()]

# Manually create parameter groups
paras_only_bn = [param for name, param in model.named_parameters() if 'batchnorm' in name.lower()]
paras_wo_bn = [param for name, param in model.named_parameters() if 'batchnorm' not in name.lower()]

# Specify the parameters and groups for the optimizer
optimizer = optim.SGD([
    {'params': paras_wo_bn[:-1], 'weight_decay': 4e-5},
    {'params': [paras_wo_bn[-1]] + head_params, 'weight_decay': 4e-4},
    {'params': paras_only_bn, 'weight_decay': 4e-4}
], lr=learning_rate, momentum=momentum)