当你在使用PyTorch进行模型训练时,遇到“ValueError: optimizer got an empty parameter list”这个错误,通常意味着在初始化优化器时传入的参数列表是空的。这个错误可能由多种原因引起,以下是一些可能的解决方案和检查点,你可以根据这些提示逐一排查问题: 1. 检查模型参数是否已正确传入优化器 确保在创建优化器时,你已...
"an iterable of Tensors or dicts, but got " + torch.typename(params)) self.state = defaultdict(dict) self.param_groups = [] param_groups = list(params) # 1 if len(param_groups) == 0: raise ValueError("optimizer got an empty parameter list") if not isinstance(param_groups[0], dic...
raiseTypeError("params argument given to the optimizer should be " "an iterable of Tensors or dicts, but got "+ torch.typename(params)) self.state=defaultdict(dict) self.param_groups=[] param_groups=list(params) iflen(param_groups)==0: raiseValueError("optimizer got an empty parameter list...
self.state = defaultdict(dict)#2self.param_groups = []#3param_groups =list(params)iflen(param_groups) ==0:raiseValueError("optimizer got an empty parameter list")ifnotisinstance(param_groups[0],dict): param_groups = [{'params': param_groups}]forparam_groupinparam_groups: self.add_param...
raise ValueError("optimizer got an empty parameter list") # 如果传入的net.parameters(),将其转换为 字典 if not isinstance(param_groups[0], dict): param_groups = [{'params': param_groups}] for param_group in param_groups: #add_param_group 这个函数,主要是处理一下每个参数组其它属性参数(lr...
raiseValueError("optimizer got an empty parameter list") # NOTE: we only have one param_group and don't allow user to add additional # param group as it's not a common use case. self.param_group={"params":params} defstep(self,gradients:List[Optional[Tensor]]): ...
(params))self.state=defaultdict(dict)self.param_groups=[]param_groups=list(params)iflen(param_groups)==0:raiseValueError("optimizer got an empty parameter list")ifnotisinstance(param_groups[0],dict):param_groups=[{'params':param_groups}]forparam_groupinparam_groups:self.add_param_group(param...
"an iterable of Tensors or dicts, but got " + torch.typename(params)) self.state = defaultdict(dict) self.param_groups = [] param_groups = list(params) if len(param_groups) == 0: raise ValueError("optimizer got an empty parameter list") ...
raise ValueError("optimizer got an empty parameter list") if not isinstance(param_groups[0], dict): param_groups = [{'params': param_groups}] for param_group in param_groups: self.add_param_group(param_group) def state_dict(self): ...