Fix optimizer factory regressin for optimizers like sgd/momentum that don't have an eps arg

timm/optim/optim_factory.py

@@ -61,8 +61,10 @@ def create_optimizer(args, model, filter_bias_and_bn=True):
     opt_split = opt_lower.split('_')
     opt_lower = opt_split[-1]
     if opt_lower == 'sgd' or opt_lower == 'nesterov':
+        del opt_args['eps']
         optimizer = optim.SGD(parameters, momentum=args.momentum, nesterov=True, **opt_args)
     elif opt_lower == 'momentum':
+        del opt_args['eps']
         optimizer = optim.SGD(parameters, momentum=args.momentum, nesterov=False, **opt_args)
     elif opt_lower == 'adam':
         optimizer = optim.Adam(parameters, **opt_args)
@@ -93,8 +95,10 @@ def create_optimizer(args, model, filter_bias_and_bn=True):
     elif opt_lower == 'nvnovograd':
         optimizer = NvNovoGrad(parameters, **opt_args)
     elif opt_lower == 'fusedsgd':
+        del opt_args['eps']
         optimizer = FusedSGD(parameters, momentum=args.momentum, nesterov=True, **opt_args)
     elif opt_lower == 'fusedmomentum':
+        del opt_args['eps']
         optimizer = FusedSGD(parameters, momentum=args.momentum, nesterov=False, **opt_args)
     elif opt_lower == 'fusedadam':
         optimizer = FusedAdam(parameters, adam_w_mode=False, **opt_args)