[moe] support low level zero optim

[oahzxl]

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moe param should not be stored in working_groups because they have different parallel strategy. so we need to store them separately in param_groups instead of working_groups

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[github-actions]

The code coverage for the changed files is 91%.

Click me to view the complete report

Name                                           Stmts   Miss  Cover
------------------------------------------------------------------
colossalai/zero/low_level/low_level_optim.py     329     30    91%
------------------------------------------------------------------
TOTAL                                            329     30    91%

[ver217]

By the way, can you create a moe param interface like dtensor? https://github.com/hpcaitech/ColossalAI/blob/main/colossalai/tensor/d_tensor/api.py

[github-actions]

The code coverage for the changed files is 71%.

Click me to view the complete report

Name                                             Stmts   Miss  Cover
--------------------------------------------------------------------
colossalai/engine/gradient_handler/__init__.py       6      0   100%
colossalai/nn/layer/moe/experts.py                 128    104    19%
colossalai/nn/layer/moe/moe_param.py                 5      1    80%
colossalai/zero/low_level/low_level_optim.py       330     30    91%
--------------------------------------------------------------------
TOTAL                                              469    135    71%

[oahzxl]

By the way, can you create a moe param interface like dtensor? https://github.com/hpcaitech/ColossalAI/blob/main/colossalai/tensor/d_tensor/api.py

done

[github-actions]

The code coverage for the changed files is 71%.

Click me to view the complete report

Name                                             Stmts   Miss  Cover
--------------------------------------------------------------------
colossalai/engine/gradient_handler/__init__.py       6      0   100%
colossalai/nn/layer/moe/experts.py                 128    104    19%
colossalai/tensor/moe_tensor/api.py                  5      1    80%
colossalai/zero/low_level/low_level_optim.py       330     30    91%
--------------------------------------------------------------------
TOTAL                                              469    135    71%