GitLab

Added llama benchmark - training and inference in accordance with the
existing pytorch models implementation like gpt2, lstm etc.

- added llama fp8 unit test for better code coverage, to reduce memory
required
- updated transformers version >= 4.28.0 for LLamaConfig
- set tokenizers version <= 0.20.3 to avoid 0.20.4 version
[issues](https://github.com/huggingface/tokenizers/issues/1691

) with
py3.8
- added llama2 to tensorrt
- llama2 tests not added to test_tensorrt_inference_performance.py due
to large memory requirement for worker gpu. tests validated separately
on gh200

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Co-authored-by: dpatlolla <dpatlolla@microsoft.com>

**Description**
Megatron-LM/Megatron-Deepspeed GPT pretrain benchmark

**Description**

Cherry-pick bug fixes from v0.7.0 to main.

**Major Revisions**

* Benchmarks - Fix missing include in FP8 benchmark (#460)
* Fix bug in TE BERT model (#461)
* Doc - Update benchmark doc (#465)
* Bug: Fix bug for incorrect datatype judgement in cublas-function
source code (#464)
* Support `sb deploy` without pulling image (#466)
* Docs - Upgrade version and release note (#467)
Co-authored-by: Russell J. Hewett <russell.j.hewett@gmail.com>
Co-authored-by: Yuting Jiang <yutingjiang@microsoft.com>

__Description__

Update benchmark naming to support annotations.

__Major Revisions__
- Update name for `create_benchmark_context` in executor.
- Backward compatibility for model benchmarks using "_models" suffix.
- Update documents.

**Description**
Add 50th, 90th, 95th, 99th, 99.9th latency metrics for ORT and pytorch inference benchmarks.

**Description**
Unify metric names of benchmarks.

Add introduction and metrics for micro-benchmarks and model-benchmarks document.

__Major Revisions__

* Refine document structure for user tutorial.

__Minor Revisions__

* Add AMD part in installation.
* Change default config file to latest link.

* Add introduction and release documents.
* Fix some typos in documents.

Update SuperBench documents.