GitLab

**Description**
add source code for DirectXRenderPerf.

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

This PR has following changes
- torch.distributed.launch changed to torchrun. torch.distributed.launch
is deprecated in latest Pytorch and is recommended to move to torchrun -
https://pytorch.org/docs/stable/elastic/run.html


- Changes to AMD GPU detection logic. The AMD GPU detection logic throws
warning when containers have only renderD in /dev/dri, this change would
resolve those warnings

---------
Co-authored-by: Yuting Jiang <yutingjiang@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)

Bumps [semver](https://github.com/npm/node-semver) from 5.7.1 to 5.7.2.
- [Release notes](https://github.com/npm/node-semver/releases)
- [Changelog](https://github.com/npm/node-semver/blob/v5.7.2/CHANGELOG.md

)
- [Commits](npm/node-semver@v5.7.1...v5.7.2)

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

**Description**
add python code for DirectXGPUEncodingLatency.

**Description**
add python code for DirectXGPUCopy.

**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 AMF in third party and build AMF encoding latency test.

**Description**
add auto selecting algorithm support for cudnn functions.

**Major Revision**
- add auto selecting algorithm support for cudnn functions in source
code
- add 'auto_algo' option in benchmark
- add related test

Modify link for Nvidia bandwidth test tool

**Description**
previous link is 404

**Minor Revision**
update the link value to
https://github.com/NVIDIA/cuda-samples/tree/master/Samples/1_Utilities/bandwidthTest

* Update result parsing for newer tensorrt versions
* Update arguments when load torchvision models

**Description**
Add source code of DirectxGPUCopy microbenchmark.

**Description**
Add source code of DirectxGPUMemBw microbenchmark.

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Co-authored-by: v-junlinlv <v-junlinlv@microsoft.com>

**Description**
Add runner for sys info to automatically collect on multiple nodes and
update related docs.

**Major Revision**
- add runner for sys info which will check docker status and run `sb
node info` on all nodes' docker and fetch results from all nodes

**Minor Revision**
- update cli and system-info doc
- update sb node info to save output info output-dir/sys-info.json

**Description**
Add source code of DirectXGPUCoreFLOPs microbenchmark.

---------
Co-authored-by: v-junlinlv <v-junlinlv@microsoft.com>

**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**
Add support for DirectX GPU platform.

**Major Revision**
- Add DirectX platform for benchmark registry
- Add gpu_vendor identify for AMD and NVIDIA with win driver

**Description**
Update 404 outdate reference links.

Update error message in setup, require wheel for pip>=23.1.

Add signal handler in runner to gracefully exit when receiving SIGINT
(<kbd>Ctrl</kbd>+<kbd>C</kbd>) or SIGTERM during benchmark execution.

**Description**
Kernel_parameters and kernel_modules command and examples are exchanged.

**Description**
Model benchmarks can stop due to `num_steps` or `duration` config which
will take effect when the value is set greater than 0.
If both are set greater than 0, the earliest condition reached will
work.

Update version in README.

**Description**
This commit revises distributed inference benchmark to give a unified
step time result by taking maximum step times of different GPUs.

**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>

__Description__

Update TE FP8 model conversion.

__Major Revisions__
* Add 16-byte alignment comment.
* Fix TE layer parameters type.

Support Transformer Engine FP8 in existing PyTorch BERT/GPT2 models by
converting linear/layernorm to TE layers.

**Description**
This PR adds a micro-benchmark of distributed model inference workloads.

**Major Revision**
- Add a new micro-benchmark dist-inference.
- Add corresponding example and unit tests.
- Update configuration files to include this new micro-benchmark.
- Update micro-benchmark README.

---------
Co-authored-by: Peng Cheng <chengpeng5555@outlook.com>

**Description**
Since ubuntu 22.04 will use cgroup V2 and the file structure changed.
Modify the monitor to adapt to cgroup v1 and v2.

Support batch and shape range with multiplication factors in cublaslt
gemm benchmark.

**Description**

- Adding HPL benchmark

---------
Co-authored-by: Ubuntu <azureuser@sbtestvm.jzlku1oskncengjiado35wf1hd.ax.internal.cloudapp.net>
Co-authored-by: Peng Cheng <chengpeng5555@outlook.com>

Fix potential barrier timeout in init_process_group due to race
condition of using the same port. Change to different ports when running
multiple models sequentially in one process.
For example, when running vgg11/13/16/19, will use port 29501~29504
respectively.

**Description**
Support error tolerance in micro-benchmark for CuDNN function


**Major Revision**
- revise micro_base to support running the remaining commands run when
one command failed in the microbenchmark
- make error tolerance as true in cudnn functions

Support FP64/TF32/FP16/BF16 in cublaslt (batch) GEMM.

Bumps [webpack](https://github.com/webpack/webpack) from 5.39.1 to 5.76.1.
- [Release notes](https://github.com/webpack/webpack/releases

)
- [Commits](webpack/webpack@v5.39.1...v5.76.1)

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

Pin setuptools version to
[v65.7.0](https://setuptools.pypa.io/en/latest/history.html#v65-7-0) to
avoid breaking changes since v66.0.0.

Limit ansible_runner version to less than 2.3.2 for Python3.6.

Benchmarks: Revision - Support flexible warmup and non-random data initialization in cublas-benchmark  (#479)

**Description**
revise cublas-benchmark for flexible warmup and fill data with fixed
number for perf test to improve the running efficiency.

**Major Revision**
- remove num_in_steps for warmup to support more flexible warmup setting
for users
- Add support to generate input with fixed number for perf test