Fix adapters and ptuning for amp o2
# What does this PR do ?

Fix the issues when using megatron_amp_O2 on PEFT models

**Collection**: [Note which collection this PR will affect]

# Changelog 
- Transform adapters to fp16/bf16 when the base model uses megatron_amp_O2. When using amp_O2 we should make model parameters in fp16/bf16. Previous PR #7232 handles the precision issue in ColumnParallelLinear and RowParallelLinear in PEFT models, and this PR handles precision casting of the rest of the modules such as layernorm.
- Explicitly set the ptuning inference table to untrainable for FP16/BF16 modules. Previous whitelist only includes the name of the inference table as in a FP32 model. We add its name in FP16/BF16 models to whitelist.
- Explicitly set ptuning inference table to be untrainable in AdapterPTuningModel like in PTuningModel

# Usage
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```python
# Add a code snippet demonstrating how to use this 
```

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**PR Type**:
- [ ] New Feature
- [ ] Bugfix
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# Additional Information
* Related to #7232 
