usingmodel.load_state_dict, an error occurs:RuntimeError: Error(s) in loading state_dict for GraphModule: Missing key(s), Unexpected key(s) in state_dict. 🐛 Describe the bug I'm reporting this issue due to errors related to capture_pre_autograd_graph and torch.compile in QAT. Note:...
missing_keys, unexpected_keys, error_msgs) for name, child in module._modules.items(): if child is not None: load(child, prefix + name + '.') load(self) if strict: error_msg = '' if len(unexpected_keys) > 0: error_msgs.insert( 0, 'Unexpected key(s) in state_dict: {}. '...
unexpected_keys,error_msgs):forhookinself._load_state_dict_pre_hooks.values():hook(state_dict,prefix,local_metadata,strict,missing_keys,unexpected_keys,error_msgs)local_name_params=itertools.chain(self._parameters.items(),self._buffers.items())local_state={k:v.datafork,vinlocal_name_paramsifv...
load_state_dict的strict strict为真时要导入model所有的键值及对应名称。传入空列表报错如下 Error(s) in loading state_dict for PoseHigherResolutionNet: Missing key(s) in state_dict: "features.0.1.weight", "features.0.2.weight", "features.0.2.bias", "features.0.2.running_mean", "features.0.2.r...
model = MyModel(*args, **kwargs) model.load_state_dict(torch.load(PATH)) model.eval() 1. 2. 3. 4. 5. 6. 7. model.state_dict()其实返回的是一个OrderDict,存储了网络结构的名字和对应的参数,下面看看源代码如何实现的。 state_dict ...
(missing_keys)>0:error_msgs.insert(0,'Missing key(s) in state_dict: {}. '.format(', '.join('"{}"'.format(k)forkinmissing_keys)))iflen(error_msgs)>0:raiseRuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(self.__class__.__name__,"\n\t".join(error...
strict(bool, optional) – whether to strictly enforce that the keys instate_dictmatch the keys returned by this module’sstate_dict()function. Default:True Returns missing_keysis a list of str containing the missing keys unexpected_keysis a list of str containing the unexpected keys ...
RuntimeError Error(s) in loading state_dict for smallCNN: Missing key(s) in state_dict: "net_1.0.weight", "net_1.0.bias", "net_1.2.weight", "net_1.2.bias", "net_1.2.running_mean", "net_1.2.running_var", "net_1.4.weight", "net_1.4.bias", "net_1.6.weight", "net_1.6.bias...
希望将训练好的模型加载到新的网络上。如上面题目所描述的,PyTorch在加载之前保存的模型参数的时候,遇到了问题。 Unexpected key(s) in state_dict: "module.features. ...".,Expected ".features...". 直接原因是key值名字不对应。 &n... 查看原文 多...
state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys, error_msgs) for name, child in module._modules.items(): if child is not None: load(child, prefix + name + '.') load(self) if strict: error_msg = '' ...