GitLab

**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

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

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 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>

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**
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 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.

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

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

**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 - Upgrade pyrsmi to amdsmi python library. #601
* Benchmarks: Micro benchmarks - add fp8 and initialization for hipblaslt benchmark #605
* Dockerfile - Add rocm6.0 dockerfile #602
* Bug Fix - Bug fix for latest megatron-lm benchmark #600
* Docs - Upgrade version and release note #606
Co-authored-by: Ziyue Yang <ziyyang@microsoft.com>
Co-authored-by: Yang Wang <yangwang1@microsoft.com>
Co-authored-by: Yuting Jiang <yutingjiang@microsoft.com>
Co-authored-by: guoshzhao <guzhao@microsoft.com>

**Description**
`add_compile_options` will not work for ROCm build, change it to setting
`CMAKE_CXX_FLAGS`.

**Description**
Add distributed inference benchmark cpp implementation.

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

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

Benchmarks: Micro benchmark - Add one-to-all, all-to-one, all-to-all support to gpu_copy_bw_performance (#588)

**Description**
Add one-to-all, all-to-one, all-to-all support to
gpu_copy_bw_performance, and fix performance bug in gpu_copy

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

**Description**
Revise NCCL/RCCL benchmarks to graph mode add latency metrics.

**Description**
Benchmarks: micro benchmark - Support cpu-gpu and gpu-cpu in
ib-validation

**Major Revision**
- Support cpu-gpu and gpu-cpu in ib-validation


**Minor Revision**
- support multi msg size, multi direction, multi ib commands in
ib-validation

**Description**
Add AMD support in monitor.

**Major Revision**
- Add library pyrsmi to collect metrics.
- Currently can get device_utilization, device_power, device_used_memory
and device_total_memory.

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**
add initialization options for rocm gemm flops.

**Description**
hipblaslt function benchmark and rebase cublaslt function benchmark.

**Description**
Generate baseline given results from multiple nodes. 

**Major Revision**
- Add sub command `sb result generate-baseline`
- Add UT and docs

---------
Co-authored-by: 454314380 <454314380@qq.com>
Co-authored-by: Yuting Jiang <yutingjiang@microsoft.com>

**Description**
add int8 support for cublaslt function.

**Description**
remove cp ptx file in gpu burn test since the command is run inside
self.args.bin_dir dir.


https://github.com/microsoft/superbenchmark/blob/d246bab430adeb461072918a551b2e2b68c9bce5/superbench/benchmarks/micro_benchmarks/micro_base.py#L183

**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>

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)

**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.