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**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.

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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

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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

**Description**
Add suppport to install cpu-only perftest in makefile.
Co-authored-by: Yuting Jiang <yuting.jiang@microsoft.com>
Co-authored-by: Peng Cheng <chengpeng5555@outlook.com>

Free more disk space in GitHub Action VHD.

**Description**
Upgrade networkx version to fix installation compatibility issue.

Bumps [@sideway/formula](https://github.com/sideway/formula) from 3.0.0 to 3.0.1.
- [Release notes](https://github.com/sideway/formula/releases

)
- [Commits](hapijs/formula@v3.0.0...v3.0.1)

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

Bumps [http-cache-semantics](https://github.com/kornelski/http-cache-semantics) from 4.1.0 to 4.1.1.
- [Release notes](https://github.com/kornelski/http-cache-semantics/releases

)
- [Commits](kornelski/http-cache-semantics@v4.1.0...v4.1.1)

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

**Description**

- Added stream benchmark
- Added stream unit test
- Added stream example
- Modified docker files to build stream

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

**Description**
Support SuperBench Executor running on Windows.

**Major Revision**
- Lazy import ansible related module

**Description**
The commit(e08b6d3a) installs a rccl
version which is causing "undefined symbol: ncclGetLastError" while
trying to import torch. Revert it to avoid the error.

Bumps [ua-parser-js](https://github.com/faisalman/ua-parser-js) from 0.7.28 to 0.7.33.
- [Release notes](https://github.com/faisalman/ua-parser-js/releases)
- [Changelog](https://github.com/faisalman/ua-parser-js/blob/master/changelog.md

)
- [Commits](faisalman/ua-parser-js@0.7.28...0.7.33)

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

**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**
Fix bug for incorrect datatype judgement in cublas-function source code.

Bumps [json5](https://github.com/json5/json5) from 1.0.1 to 1.0.2.
- [Release notes](https://github.com/json5/json5/releases)
- [Changelog](https://github.com/json5/json5/blob/main/CHANGELOG.md

)
- [Commits](json5/json5@v1.0.1...v1.0.2)

---
updated-dependencies:
- dependency-name: json5
  dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Support traffic patterns under the different devices in NCCL/RCCL test
* change the metrics format if specified the pattern

**Major Revision**

- Add an option for pattern to generate mpi_pattern.txt file if
specified the path.
- In mpi pattern, serial_index and parallel_index will add in each
benchmark as environment variables.

**Minor Revision**
- Fix typo

Support FP8 in PyTorch BERT models:

* add fp8 hybrid/e4m3/e5m2 in precision arguments
* build BERT encoders with `te.TransformerLayer` to repalce
`transformers.BertModel`
* wrap forward steps with fp8 autocast

**Description**
Support the following patterns  in `mpi` mode:
* `k-batch`
* `topo-aware`

Support GEMM benchmark on Hopper GPUs.

Integrate cublaslt-gemm micro-benchmark #451.

**Description**
 Add correctness check in cublas-function benchmark.

**Major Revision**
- add python code of correctness check in cublas-function benchmark and test

Add micro-benchmark for cublaslt fp8 gemm.

**Description**
Add c source code of correctness check for cublas functions.

**Major Revision**
- add correctness check for all supported cublas functions
- add --correctness option into binary

**Minor Revision**
- fix bug and template fill_data and prepare_tensor to get right memory-alignment output matrix for different datatype

**Description**
Add stdout logging util module and enable real-time logging flushing in executor

**Major Revision**
- Add stdout logging util module to redirect stdout into file log
- enable stdout logging in executor to write benchmark output into both stdout and file `sb-bench.log`
- enable real-time log flushing in run_command of microbenchmarks through config `log_flushing`

**Minor Revision**
- add log_n_step args to enable regular step time log in model benchmarks 
- udpate related docs