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docs: v3.6.0 changelog
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docs/changelogs/v3.6.0.md

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* Notably, in case of `adanorm` variant, you need to pass `adanorm` (and `adanorm_r` for `r` option) parameter(s) to use this variant, and the name of the state will be changed from `exp_avg_norm` to `exp_avg_adanorm`.
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* Refactor `reset()` to `init_group()` method in the `BaseOptimizer` class. (#380)
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* Refactor `SAM` optimizer family. (#380)
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* Gather `AdamP`, `SGDP` things into `pytorch_optimizer.optimizer.adamp.*`. (#381)
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* `pytorch_optimizer.optimizer.sgdp.SGDP` to `pytorch_optimizer.optimizer.adamp.SGDP`
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* `pytorch_optimizer.optimizer.util.projection` to `pytorch_optimizer.optimizer.adamp.projection`
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* `pytorch_optimizer.optimizer.util.cosine_similarity_by_view` to `pytorch_optimizer.optimizer.adamp.cosine_similarity_by_view`
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* Remove `channel_view()` and `layer_view()` from `pytorch_optimizer.optimizer.util`. (#381)
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### Fix
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