GitLab

Root Cause:

1. '_get_all_test_cases()' was called in '_parser' while '_parser' was
defined in the base class.
2.  in '_get_all_test_cases()', cmd path was not included.

Fix:

1. Remove '_get_all_test_cases()' from '_parser'.
2. Construct path for cmd.

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

**Description**

1. Fixed the bug that nvbandwidth benchmark need to handle 'N/A' values
in nvbandwidth cmd output.
2. Replaced the input format of test cases with a list.
3. Add nvbandwidth configuration example in default config files.

---------
Co-authored-by: hongtaozhang <hongtaozhang@microsoft.com>
Co-authored-by: Yifan Xiong <yifan.xiong@microsoft.com>

**Description**
Today I was running a benchmark on my machine. And encountered a fancy
issue with tensorrt-inference.
I got code 33, which according to the source code is:
```
MICROBENCHMARK_RESULT_PARSING_FAILURE = 33
```
I dived deep into the code and found out the following problem. The
parser stumbled upon getting to the following line:
```
[11/28/2024-17:03:11] [I] Latency: min = 7.2793 ms, max = 10.1606 ms, mean = 7.41642 ms, median = 7.39551 ms, percentile(99%) = 8 ms
```
I ran it separately on the code and found out that the regular
expression was not suitable for the cases like this, when you encounter
an INT as a result in milliseconds.
That's why this pull request is created.
I came up with the closest possible regular expression to fix this issue
and not to introduce any other bug.

**Major Revision**
- 0.11.0

Flake8 has moved away from gitlab to github.
Updating the repo path in the pre commit config.

**Description**
Introduce architecture support for version 10.0 in gemm-flops.

Fix installation and lint issues:

* Fix transformer installation in Python3.7 due to upgrade of safetensors.
* Fix lint issues in mypy 1.14.1.

Bumps [nanoid](https://github.com/ai/nanoid) from 3.3.6 to 3.3.8.
- [Release notes](https://github.com/ai/nanoid/releases)
- [Changelog](https://github.com/ai/nanoid/blob/main/CHANGELOG.md

)
- [Commits](ai/nanoid@3.3.6...3.3.8)

---
updated-dependencies:
- dependency-name: nanoid
  dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>

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

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

Fix ordering of args in err messages.

Upgrade dependency versions in Azure pipeline:

* Remove Python 3.6 and add Python 3.10 for cpu-unit-test
* Upgrade CUDA from 11.1 to 12.4 for cuda-unit-test
* Update labels accordingly

---------
Co-authored-by: Dilip Patlolla <dilipreddi@gmail.com>

**Description**

Add nvbandwidth benchmark.

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

**Description**
Add nvbandwidth build to repo

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

Update CODEOWNERS for docs.

**Description**
Add micro benchmark to measure general CPU bandwidth and latency without 'mlc'.

Test output:
```
{
"cpu-memory-bw-latency/return_code": 0,
"cpu-memory-bw-latency/mem_bandwidth_matrix_numa_0_1_bw": 5388.75021,
"cpu-memory-bw-latency/mem_bandwidth_matrix_numa_0_1_lat": 0.185571786,
"cpu-memory-bw-latency/mem_bandwidth_matrix_numa_1_0_bw": 4634.82028,
"cpu-memory-bw-latency/mem_bandwidth_matrix_numa_1_0_lat": 0.215758096,
}
```

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

**Description**

Bump onnxruntime-gpu from 1.10.0 to 1.12.0.

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

Bumps [webpack](https://github.com/webpack/webpack) from 5.76.1 to 5.96.1.
- [Release notes](https://github.com/webpack/webpack/releases

)
- [Commits](webpack/webpack@v5.76.1...v5.96.1)

---
updated-dependencies:
- dependency-name: webpack
  dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>

Bumps [cookie](https://github.com/jshttp/cookie) and [express](https://github.com/expressjs/express). These dependencies needed to be updated together.

Updates `cookie` from 0.6.0 to 0.7.1
- [Release notes](https://github.com/jshttp/cookie/releases)
- [Commits](jshttp/cookie@v0.6.0...v0.7.1)

Updates `express` from 4.21.0 to 4.21.1
- [Release notes](https://github.com/expressjs/express/releases)
- [Changelog](https://github.com/expressjs/express/blob/4.21.1/History.md

)
- [Commits](expressjs/express@4.21.0...4.21.1)

---
updated-dependencies:
- dependency-name: cookie
  dependency-type: indirect
- dependency-name: express
  dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>

Add support for arm64 build:

- Updated dockerfile for arm64 build
- extend cpu stream compilation for neoverse 
- handle onnxruntime-gpu installation
- third party builds filtering based on arch
- disable cuda decode perf build for non x86

The current GPU Copy BW Performance fails on Nvidia Grace systems. This
is due to the memory only numa node and thus the numa_run_on_node fails
for such nodes and halts completely.

This fix checks for the presence of assigned CPU cores for the numa
node, on checking if it has no cpu cores assigned, it skips that
specific node during the args creation and continues.

**Description**

Update image build.

**Major Revision**

* Remove ROCm 6.0 image due to outdated packages
* Remove build tag for ROCm
* Preserve build cache for 30 days

**Description**
Cherry pick bug fixes from v0.11.0 to main

**Major Revision**
* #645 
* #648 
* #646 
* #647 
* #651 
* #652 
* #650

---------
Co-authored-by: hongtaozhang <hongtaozhang@microsoft.com>
Co-authored-by: Yifan Xiong <yifan.xiong@microsoft.com>

Bumps [serve-static](https://github.com/expressjs/serve-static) and [express](https://github.com/expressjs/express). These dependencies needed to be updated together.

Updates `serve-static` from 1.15.0 to 1.16.2
- [Release notes](https://github.com/expressjs/serve-static/releases)
- [Changelog](https://github.com/expressjs/serve-static/blob/v1.16.2/HISTORY.md)
- [Commits](expressjs/serve-static@v1.15.0...v1.16.2)

Updates `express` from 4.19.2 to 4.21.0
- [Release notes](https://github.com/expressjs/express/releases)
- [Changelog](https://github.com/expressjs/express/blob/4.21.0/History.md

)
- [Commits](expressjs/express@4.19.2...4.21.0)

---
updated-dependencies:
- dependency-name: serve-static
  dependency-type: indirect
- dependency-name: express
  dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>

**Description**
Fix executor for Benchmark Execution Without Explicit Framework Field

**Description**
Fix bug of failure test and warning of pandas in data diagnosis.

**Major Revision**
- fix warning of pandas in replace and fillna due to type downcast
- fix bug of failure check function only check one matched metric rather
than all matched metrics
- fix bug when converting regex into str of metrics when there're more
than one match group

Add 10-hpcx.sh to /etc/profile.d
Update the Docker exec command to ensure a persistent HPCX environment.

* https://pypi.org/project/types-pkg-resources/
* Use types-setuptools instead

**Description**
Fix MSCCL build error in CUDA12.4 docker build pipeline due to OOM
issue.

**Description**
Add support GPU ARCH 8.9 for NVIDIA L4/L40/L40s GPUs in gemm-flops.

Bumps [express](https://github.com/expressjs/express) from 4.18.2 to 4.19.2.
- [Release notes](https://github.com/expressjs/express/releases)
- [Changelog](https://github.com/expressjs/express/blob/master/History.md

)
- [Commits](expressjs/express@4.18.2...4.19.2)

---
updated-dependencies:
- dependency-name: express
  dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>

Bumps [ws](https://github.com/websockets/ws) from 6.2.2 to 6.2.3.
- [Release notes](https://github.com/websockets/ws/releases

)
- [Commits](websockets/ws@6.2.2...6.2.3)

---
updated-dependencies:
- dependency-name: ws
  dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>

Docs - fix typos

Bumps [ip](https://github.com/indutny/node-ip

) from 1.1.5 to 1.1.9.
- [Commits](indutny/node-ip@v1.1.5...v1.1.9)

---
updated-dependencies:
- dependency-name: ip
  dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>

Bumps [follow-redirects](https://github.com/follow-redirects/follow-redirects) from 1.14.8 to 1.15.6.
- [Release notes](https://github.com/follow-redirects/follow-redirects/releases

)
- [Commits](follow-redirects/follow-redirects@v1.14.8...v1.15.6)

---
updated-dependencies:
- dependency-name: follow-redirects
  dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>

Add BibTeX for citation in README and repo.

Update `omegaconf` version to
[2.3.0](https://pypi.org/project/omegaconf/2.3.0/) as omegaconf 2.0.6
has a non-standard dependency specifier PyYAML>=5.1.*. pip 24.1 will
enforce this behaviour change.
Discussion can be found at https://github.com/pypa/pip/issues/12063.

**Description**
Add CUDA 12.4 dockerfile.

**Major Revision**
- upgrade nvidia docker into 23.04


**Minor Revision**
- upgrade hpcx into 2.18

**Description**
Upgrade mlc to v3.11.

**Description**
Adds hipblasLt tuning to dist-inference cpp implementation.

**Description**
Cuda 12.2 image will report undfined symbol error due to incomplete
LD_LIBRARY_PATH:


![image](https://github.com/microsoft/superbenchmark/assets/25875482/1a7c48c7-cb6b-4e3a-abbe-dde23007a96b)

### How to reproduce:
1. Deploy sb with cuda12.2 image
```
sb deploy -f local.ini -i superbench/superbench:v0.10.0-cuda12.2
```
2. Enter to the container
```
sudo docker exec -it sb-workspace bash
```
3. Execute `mpirun`:
```
root@sb-container:~# mpirun
mpirun: symbol lookup error: mpirun: undefined symbol: opal_libevent2022_event_base_loop
```
### Fix to fix
* Append hpcx_load into /etc/bash.bashrc for updaing env LD_LIBRARY_PATH in each time

---------

**Description**

Cherry-pick bug fixes from v0.10.0 to main.

**Major Revisions**

* Benchmarks: Microbenchmark - Support different hipblasLt data types in dist_inference #590
* Benchmarks: Microbenchmark - Support in-place for NCCL/RCCL benchmark #591
* Bug Fix - Fix NUMA Domains Swap Issue in NDv4 Topology File #592
* Benchmarks: Microbenchmark - Add data type option for NCCL and RCCL tests #595
* Benchmarks: Bug Fix - Make metrics of dist-inference-cpp aligned with PyTorch version #596
* CI/CD - Add ndv5 topo file #597
* Benchmarks: Microbenchmark - Improve AMD GPU P2P performance with fine-grained GPU memory #593
* Benchmarks: Build Pipeline - fix nccl and nccl test version to 2.18.3 to resolve hang issue in cuda12.2 docker #599
* Dockerfile - Bug fix for rocm docker build and deploy #598
* Benchmarks: Microbenchmark - Adapt to hipblasLt data type changes #603
* Benchmarks: Micro benchmarks - Update hipblaslt metric unit to tflops #604
* Monitor - U...