ValueError: some parameters appear in more than one parameter group

[jamesrequa]

Getting this error anytime I try to run learn.lr_find or learn.fit with VGG16 or VGG19.

Below is the traceback.

ValueError                                Traceback (most recent call last)
<ipython-input-6-95b405c2ed1e> in <module>()
----> 1 lrf=learn.lr_find()
      2 learn.sched.plot()

/home/james/fastai_2/courses/dl1/fastai/learner.py in lr_find(self, start_lr, end_lr, wds)
    131         """
    132         self.save('tmp')
--> 133         layer_opt = self.get_layer_opt(start_lr, wds)
    134         self.sched = LR_Finder(layer_opt, len(self.data.trn_dl), end_lr)
    135         self.fit_gen(self.model, self.data, layer_opt, 1)

/home/james/fastai_2/courses/dl1/fastai/learner.py in get_layer_opt(self, lrs, wds)
     90 
     91     def get_layer_opt(self, lrs, wds):
---> 92         return LayerOptimizer(self.opt_fn, self.get_layer_groups(), lrs, wds)
     93 
     94     def fit(self, lrs, n_cycle, wds=None, **kwargs):

/home/james/fastai_2/courses/dl1/fastai/layer_optimizer.py in __init__(self, opt_fn, layer_groups, lrs, wds)
     15         if len(wds)==1: wds=wds*len(layer_groups)
     16         self.layer_groups,self.lrs,self.wds = layer_groups,lrs,wds
---> 17         self.opt = opt_fn(self.opt_params())
     18 
     19     def opt_params(self):

/home/james/fastai_2/courses/dl1/fastai/core.py in <lambda>(*args, **kwargs)
     63 
     64 def SGD_Momentum(momentum):
---> 65     return lambda *args, **kwargs: optim.SGD(*args, momentum=momentum, **kwargs)
     66 
     67 def one_hot(a,c): return np.eye(c)[a]

/home/james/anaconda3/envs/tensorflow/lib/python3.6/site-packages/torch/optim/sgd.py in __init__(self, params, lr, momentum, dampening, weight_decay, nesterov)
     54         if nesterov and (momentum <= 0 or dampening != 0):
     55             raise ValueError("Nesterov momentum requires a momentum and zero dampening")
---> 56         super(SGD, self).__init__(params, defaults)
     57 
     58     def __setstate__(self, state):

/home/james/anaconda3/envs/tensorflow/lib/python3.6/site-packages/torch/optim/optimizer.py in __init__(self, params, defaults)
     40             group_set = set(group['params'])
     41             if not param_set.isdisjoint(group_set):
---> 42                 raise ValueError("some parameters appear in more than one "
     43                                  "parameter group")
     44             param_set.update(group_set)

[jph00]

Best to discuss this on the forum. Be sure to share the code you're using to create the model.