add support for DeepSpeed's boolean zero_optimization configuration

[ZhangShuaiyi]

What does this PR do?

DeepSpeed‘s Getting Started guide indicates that zero_optimization can be a boolean value.

{
  "train_batch_size": 8,
  "gradient_accumulation_steps": 1,
  "optimizer": {
    "type": "Adam",
    "params": {
      "lr": 0.00015
    }
  },
  "fp16": {
    "enabled": true
  },
  "zero_optimization": true
}

Add boolean zero_optimization support by referring to https://github.com/microsoft/DeepSpeed/blob/0c6c98110947300636937d45d6b3392c84996130/deepspeed/runtime/zero/config.py#L54-L72

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@muellerzr

[muellerzr]

I'd rather not have us support deprecated things that they are actively getting rid of

[HuggingFaceDocBuilderDev]

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

[ZhangShuaiyi]

@muellerzr thanks for your review!
How about implementing a value check for HfDeepSpeedConfig. within its __init__ method?