环境：
oe 3.5.0
问题1：自研模型qat训练相关的问题
QAT 模型加载后推理输出全 0 且效果异常的问题。
描述：
紫色线是qat训练时候的指标，灰色那个是浮点训练时候的指标在load_state_dict时候，它报了一堆“”Missing key(s) in state_dict:“”，然后我设置成了“”qat_model.load_state_dict(checkpoint["model_state_dict"], strict=False)“”，不报错了，但是模型推理结果完全不对，和qat训练时效果完全不同，不论输入为什么值，输出都是0。
请问：是哪里出错了吗？
部分模型加载代码如下：
问题2：oe提供的模型，出现的问题
使用oe包内qcnet 相关工具库，进行qat 训练，训练一段时间后，loss为nan值（直接用的oe包里的qat代码，参数部分只调整了batchsize,从原始的4*2，调整成了32）
问题3：oe提供的模型，出现的问题
使用正常的qat模型转出hbm模型后，使用hbm定点模型进行推理，报错（数据直接使用oe 提供的工具生成的，参数配置没有改动）
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