support ema optimizer in sharding optimizers #39860
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Describe
When using EMA in sharding optimziers, the trainers whose ids are not 0 don't save EMA vars.
However, EMA parameters need to be saved in every trainer.
Now the feature is supported by add a member "_ema_0" in checks list in function is_opt_vars.