Update Inference Benchmarking Scripts - Support AML

[lekurile]

This PR fixes/updates the inference benchmarking analysis scripts to support [fastgen, vllm, aml] backends. The scripts are generalized to support models beyond just Llama, which was hardcoded in the scripts previously. A number of bugs and formatting issues are also resolved. The scripts that were fixed/updated are:

• plot_effective_throughput.py
• plot_latency_percentile.py:
• plot_repl_scale.py:
• plot_th_lat.py:
• plot_tp_sizes.py:

Example plots for the scripts:

• plot_effective_throughput.py:

• plot_latency_percentile.py:

• plot_repl_scale.py:

• plot_th_lat.py: NOTE: the resulting data should not be used to draw any conclusions. The GPUs, tp_size, etc are different across the different data points. This is simply demonstrating the plot generation.

• plot_tp_sizes.py:

[lekurile]

Do you have an example that shows how to run them?

@tohtana, thank you for the comment, I will update the README w/ examples showing how to run the scripts.