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Docs - Upgrade version and release note
__Description__ Upgrade version and release note. __Major Revision__ - Upgrade package versions - Add release note for v0.8.0
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# Server: | ||
# - Product: HPE Apollo 6500 | ||
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version: v0.7 | ||
version: v0.8 | ||
superbench: | ||
enable: null | ||
var: | ||
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version: v0.7 | ||
version: v0.8 | ||
superbench: | ||
enable: null | ||
monitor: | ||
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2 changes: 1 addition & 1 deletion
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superbench/config/azure/inference/standard_nc96ads_a100_v4.yaml
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version: v0.7 | ||
version: v0.8 | ||
superbench: | ||
enable: null | ||
monitor: | ||
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version: v0.7 | ||
version: v0.8 | ||
superbench: | ||
enable: null | ||
monitor: | ||
|
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# SuperBench Config | ||
version: v0.7 | ||
version: v0.8 | ||
superbench: | ||
enable: null | ||
monitor: | ||
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# SuperBench Config | ||
version: v0.7 | ||
version: v0.8 | ||
superbench: | ||
enable: null | ||
monitor: | ||
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--- | ||
slug: release-sb-v0.8 | ||
title: Releasing SuperBench v0.8 | ||
author: Peng Cheng | ||
author_title: SuperBench Team | ||
author_url: https://github.com/cp5555 | ||
author_image_url: https://github.com/cp5555.png | ||
tags: [superbench, announcement, release] | ||
--- | ||
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We are very happy to announce that **SuperBench 0.8.0 version** is officially released today! | ||
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You can install and try superbench by following [Getting Started Tutorial](https://microsoft.github.io/superbenchmark/docs/getting-started/installation). | ||
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## SuperBench 0.8.0 Release Notes | ||
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### SuperBench Improvements | ||
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- Support SuperBench Executor running on Windows. | ||
- Remove fixed rccl version in rocm5.1.x docker file. | ||
- Upgrade networkx version to fix installation compatibility issue. | ||
- Pin setuptools version to v65.7.0. | ||
- Limit ansible_runner version for Python 3.6. | ||
- Support cgroup V2 when read system metrics in monitor. | ||
- Fix analyzer bug in Python 3.8 due to pandas api change. | ||
- Collect real-time GPU power in monitor. | ||
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### Micro-benchmark Improvements | ||
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- Add STREAM benchmark for sustainable memory bandwidth and the corresponding computation rate. | ||
- Add HPL Benchmark for HPC Linpack Benchmark. | ||
- Support flexible warmup and non-random data initialization in cublas-benchmark. | ||
- Support error tolerance in micro-benchmark for CuDNN function. | ||
- Add distributed inference benchmark. | ||
- Support tensor core precisions (e.g., FP8) and batch/shape range in cublaslt gemm. | ||
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### Model Benchmark Improvements | ||
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- Fix torch.dist init issue with multiple models. | ||
- Support TE FP8 in BERT/GPT2 model. |
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