fix(modeling): norm weight should be fp32 #4
+4
−1
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Motivation
MindSpore实现的InternLM将norm的权重设置为fp32,norm本身shape不大,可以考虑转成fp32以换取更好的精度。
Modification
将 norm1, nomr2 和 outputnorm 在init_model时转成fp32的dtype
BC-breaking (Optional)
Does the modification introduce changes that break the backward compatibility of the downstream repositories?
If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.
Use cases (Optional)
If this PR introduces a new feature, it is better to list some use cases here and update the documentation.
Checklist
Before PR:
After PR: