【寒武纪硬件产品型号】必填*：
必填项，例如：MLU270

【使用操作系统】必填*：
官网提供的pytorch docker：ubuntu18.04_sdk_v1.7.0_pytorch_v0.15.0-2

【使用驱动版本】必填*：
例如v4.9.4

【出错信息】必填*：

[WARNING][/pytorch/catch/torch_mlu/csrc/aten/operators/op_methods.cpp][line:2396][clamp_min_][thread:140100531672896][process:228452]:
clamp_min_ Op cannot run on MLU device, start running on CPU!
【当前已做了哪些信息确认】选填：

1. >>> import torch
>>> import torch_mlu.core.mlu_model as ct
CNML: 7.10.2 ba2048758
CNRT: 4.10.1 a884a9a
>>> a=torch.rand(10,1,5,dtype=torch.float).to(ct.mlu_device())
>>> b=torch.rand(1,5,5,dtype=torch.float).to(ct.mlu_device())
>>> cos=torch.cosine_similarity(a,b,dim=-1,eps=1e-08).to(ct.mlu_device())
[WARNING][/pytorch/catch/torch_mlu/csrc/aten/operators/op_methods.cpp][line:2396][clamp_min_][thread:139818913498944][process:228735]:
clamp_min_ Op cannot run on MLU device, start running on CPU!

2.CNML Developer Guide Release 7.10.2

4.36.1 cnmlCreateCosSimilarityOp
cnmlStatus_t cnmlCreateCosSimilarityOp(cnml Op_t *op, const cnmlTensor_t inputTensorA, const cnmlTensor_t inputTensorB,
const cnmlTensor_t outputTensor)
cnmlCreateCosSimilarityOp.
It creates a cos similarity operator d on the operator pointer given by the user.

看了CNML文档可以支持余弦相似性函数

2.查看/usr/local/neuware/include/cnml.h，版本号如下，其中也看到cnmlCreateCosSimilarityOp

#define CNML_MAJOR_VERSION 7
#define CNML_MINOR_VERSION 10
#define CNML_PATCH_VERSION 2

问题1、clamp_min_ Op cannot run on MLU device, start running on CPU!  这个怎么解决？是否需要升级版本？

问题2、保存多输入离线模型时：

net = torch.jit.trace(quantized_model, (input_data1, input_data2), check_trace = False)
net(input_data1, input_data2)

离线模型输入会变成一个，2个3维输入变成一个4维输入，是否保存方式有误？