GitLab

## Description
This affects all PRs running `python3 setup.py lint` on the Python 3.12
CI job.

## Root Cause

Comparing the last successful cpu-unit-test build (58939, Mar 25) with a
recent failing build (58996, Apr 14), the Python 3.12 "Install
dependencies" step shows:

| Package | Successful (Mar 25) | Failing (Apr 14) |
|---|---|---|
| `setuptools-scm` | < 10.0 (no `vcs-versioning` dep) | 10.0.5 (requires
`vcs-versioning`) |

`setuptools-scm` 10.0.5 was released between the two runs and added
`vcs-versioning` as a new dependency. The `setup_requires` mechanism in
`setup.py` does not install transitive dependencies, so `vcs-versioning`
is missing at runtime.

The successful build lint log (Python 3.12): "ModuleNotFoundError: No
module named 'vcs_versioning'"

This affects all PRs running `python3 setup.py lint` on the Python 3.12
CI job.

## Changes

- Add `vcs_versioning` explicitly to `setup_requires` in `setup.py` so
it is available when `setuptools-scm` is imported during `setup.py`
execution.

## Testing

Verified that `setuptools-scm` 10.0.5 declares `vcs-versioning` as a
dependency, and the CI failure matches the missing transitive dependency
pattern.
Co-authored-by: Hongtao Zhang <hongtaozhang@microsoft.com>

Configure GitHub Pages

**Description**

- When building the CUDA 11.1.1 image, pip (Python 3.8) cannot find a
pre-built wheel for the latest wandb release (v0.23.1). As a result, pip
attempts to build wandb from source. However, the build fails because
the image does not have Go installed, which is required for building
wandb from source. Then the error appears.

**Solution**

- For the CUDA 11.1.1 build, install the required build tools (e.g., Go,
Rust, and Cargo) needed for wandb.

---------
Co-authored-by: Hongtao Zhang <hongtaozhang@microsoft.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

Fix image merge for release event in GitHub Action.

Add support for cuda13.0.
Add cuda13.0.dockerfile.
Add cuda13.0 image building task to github pipeline.
Update GPU STREAM to work with cuda13.0.
Fix data type conversion perf bug in GPU stream.
Update nvbandwidth submodule to be v0.8.
Update perftest submodule to be 4bee61f80d9e268fc97eaf40be00409e91d3a19e
(recent master).

---------
Co-authored-by: Ubuntu <dilipreddi@gmail.com>
Co-authored-by: guoshzhao <guzhao@microsoft.com>

**Description**

Cherry-pick bug fixes from v0.12.0 to main.

**Major Revisions**

* #725
* #727
* #728
Co-authored-by: Hongtao Zhang <hongtaozhang@microsoft.com>
Co-authored-by: Yifan Xiong <yixio@microsoft.com>
Co-authored-by: Guoshuai Zhao <guzhao@microsoft.com>

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

**Description**
Add cuda 12.9 dockerfile and build in pipeline.

---------
Co-authored-by: Guoshuai Zhao <microsoft@microsoft.com>
Co-authored-by: Hongtao Zhang <hongtaozhang@microsoft.com>
Co-authored-by: Hongtao Zhang <garyworkzht@gmail.com>

Update CODEOWNERS.

- Upgrade OS of github runner used by lint to the latest.
- Add symbolic link for clang-format to version 14.
- Update importlib_metadata version since it is too old (inside
nvcr.io/nvidia/pytorch:20.12-py3) and failed the 11.1 build.

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

Merge multi-arch image in build pipeline.

**Description**
Updated docker for 12.8
Use cutlass latest relase 3.8 with ARCH 100(blackwell) support
add latest nccl-test release with ARCH 100(blackwell) 
Updated msccl to support build for sm_100
No breaking changes, so backward compatible tested with  cuda 12.4

---------
Co-authored-by: Hongtao Zhang <garyworkzht@gmail.com>

Due to the matrix strategy’s default "fail-fast" setting. In GitHub
Actions, when running a job with a matrix, the individual configurations
run in parallel. By default, if one matrix job (for example, the one
labeled "rocm6_2_rocm6_2_x_superbe") fails, the remaining parallel jobs
are canceled automatically.

In our current build image pipeline, the arm64 build job always are
canceled by the rocm build job. So, using a non-existent label in the
job config to prevent rocm build job from scheduling for a temporary
solution.

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

Add image build on arm64 arch.

Update CODEOWNERS for docs.

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

**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>

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

**Description**
Add CUDA 12.4 dockerfile.

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


**Minor Revision**
- upgrade hpcx into 2.18

**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...

**Description**
upgrade to rocm5.7 dockerfile.

---------
Co-authored-by: yukirora <yuting.jiang@microsoft.com>

**Description**
Add MSCCL support for Nvidia GPU

Upgrade Docker image to CUDA 12.2 for H100:
* upgrade base image to 23.10
* fix onnxruntime version in python3.10
* fix compilation errors

**Description**
source code for evaluating NVDEC decoding performance.

---------
Co-authored-by: yukirora <yuting.jiang@microsoft.com>

**Description**
add source code for DirectXRenderPerf.

---------
Co-authored-by: yukirora <yuting.jiang@microsoft.com>

**Description**
Cherry-pick bug fixes from v0.9.0 to main.

**Major Revision**
- CI/CD: pipeline - clean more disk space to fix rocm building image
pipeline(#555 )
- Benchmarks: bug fix - use absolute path for input file in
DirectXEncodingLatency(#554)
- CI/CD - add push win docker image on release branch in pipeline (#552)
- Docs - Upgrade version and release note(#557)

**Description**
add python code for DirecXGPUMemBw.

**Description**
add python code for DirectX core flops and init DirectX test pipeline.

**Major Revision**
- add python code for DirectX core flops 
- init DirectX test pipeline


**Minor Revision**
- add test for DirectX core flops

**Description**
Support DirectX test pipeline.

**Description**
Add dockerfile for win10 and building script for directx_benchmarks.

**Major Revision**
- Add docker file for win10 and required scripts to install the
dependency
- Add building script to build all directx vs benchmarks
- Add call of building script in Makefile

---------
Co-authored-by: yukirora <yuting.jiang@microsoft.com>
Co-authored-by: Yifan Xiong <yifan.xiong@microsoft.com>

**Description**

Cherry-pick bug fixes from v0.8.0 to main.

**Major Revisions**

* Monitor - Fix the cgroup version checking logic (#502)
* Benchmark - Fix matrix size overflow issue in cuBLASLt GEMM (#503)
* Fix wrong torch usage in communication wrapper for Distributed
Inference Benchmark (#505)
* Analyzer: Fix bug in python3.8 due to pandas api change (#504)
* Bug - Fix bug to get metric from cmd when error happens (#506)
* Monitor - Collect realtime GPU power when benchmarking (#507)
* Add num_workers argument in model benchmark (#511)
* Remove unreachable condition when write host list (#512)
* Update cuda11.8 image to cuda12.1 based on nvcr23.03 (#513)
* Doc - Fix wrong unit of cpu-memory-bw-latency in doc (#515)
* Docs - Upgrade version and release note (#508)
Co-authored-by: guoshzhao <guzhao@microsoft.com>
Co-authored-by: Ziyue Yang <ziyyang@microsoft.com>
Co-authored-by: Yuting Jiang <yutingjiang@microsoft.com>

Free more disk space in GitHub Action VHD.

Add Docker image for arch90 NVIDIA GPUs:

* add CUDA11.8 Dockerfile
* update archs in Makefile and benchmarks accordingly
* update image build pipeline

Benchmarks - Add support to allow list of custom config string in cudnn-functions and cublas-functions (#414)

**Description**
Add support to allow list of custom config string in cudnn-functions and cublas-functions.

Update dependencies and Dockerfile:
* upgrade nccl-tests and rccl-tests to current latest version to match
  NCCL/RCCL versions
* unify image tag names on DockerHub
* remove verbose output in Dockerfile and minor fix some flags

**Description**

Update ROCm Dockerfile.

**Major Revisions**
- Add dockerfile for ROCm 5.1.3
- Merge 5.1.x and 5.0.x dockerfile
- Remove 4.2 and 4.0 legacy
- Update build pipeline accordingly

**Description**
Add dockerfile for rocm5.1.1.

**Description**
Add dockerfile for rocm5.0.1.

**Description**
Add rocm5.0 dockerfile.