CUDA memory profile
# What does this PR do ?

Profile CUDA memory breakdown. The reference is available in the below link.
https://pytorch.org/blog/understanding-gpu-memory-1/

The memory profile will generate a `pickle file` and a user can load the file in the below page.
https://pytorch.org/memory_viz

# Changelog 
- Added the option to profile a range of training steps to profile the memory usage
- Adjust the training step by the number of micro-batches steps per global step.

# Usage
Add the below knobs to the yaml run config.

```yaml
  memory_profile:                                                                      
     enabled: true                                                                      
     start_step: 2                                                                      
     end_step: 5                                                                        
     rank: 0                                                                            
     output_path: <path/to/out_file>
```

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# Additional Information
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