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fix(modeling): norm weight should be fp32 #4

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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:

  • Pre-commit or other linting tools are used to fix the potential lint issues.
  • Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests.
  • The modification is covered by complete unit tests. If not, please add more unit test to ensure the correctness.
  • The documentation has been modified accordingly, like docstring or example tutorials.

After PR:

  • If the modification has potential influence on downstream or other related projects, this PR should be tested with those projects.
  • CLA has been signed and all committers have signed the CLA in this PR.

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