test python 3.7

.github/workflows/test_cli_misc.yaml

@@ -8,7 +8,6 @@ on:
     paths:
       - .github/workflows/test_cli_misc.yaml
       - "optimum_benchmark/**"
-      - "docker/**"
       - "tests/**"
       - "setup.py"
   pull_request:
@@ -17,7 +16,6 @@ on:
     paths:
       - .github/workflows/test_cli_misc.yaml
       - "optimum_benchmark/**"
-      - "docker/**"
       - "tests/**"
       - "setup.py"
 
@@ -31,7 +29,7 @@ jobs:
       fail-fast: false
       matrix:
         os: [ubuntu-latest]
-        python: ["3.8", "3.10"]
+        python: ["3.7", "3.8", "3.9", "3.10"]
 
     runs-on: ${{ matrix.os }}
 

README.md

@@ -6,7 +6,6 @@
 [![PyPI - Format](https://img.shields.io/pypi/format/optimum-benchmark)](https://pypi.org/project/optimum-benchmark/)
 [![PyPI - License](https://img.shields.io/pypi/l/optimum-benchmark)](https://pypi.org/project/optimum-benchmark/)
 [![PyPI version](https://badge.fury.io/py/optimum-benchmark.svg)](https://badge.fury.io/py/optimum-benchmark)
-[![Downloads](https://pepy.tech/badge/optimum-benchmark)](https://pepy.tech/project/optimum-benchmark)
 
 Optimum-Benchmark is a unified [multi-backend & multi-device](#backends--devices-) utility for benchmarking [Transformers](https://github.com/huggingface/transformers), [Diffusers](https://github.com/huggingface/diffusers), [PEFT](https://github.com/huggingface/peft), [TIMM](https://github.com/huggingface/pytorch-image-models) and [Optimum](https://github.com/huggingface/optimum) libraries, along with all their supported [optimizations & quantization schemes](#backends--devices-), for [inference & training](#scenarios-), in [distributed & non-distributed settings](#launchers-), in the most correct, efficient and scalable way possible.
 
@@ -15,7 +14,7 @@ Optimum-Benchmark is a unified [multi-backend & multi-device](#backends--devices
 - PyPI package is now available for installation: `pip install optimum-benchmark` 🎉 [check it out](https://pypi.org/project/optimum-benchmark/) !
 - Hosted 4 minimal docker images (`cpu`, `cuda`, `rocm`, `cuda-ort`) in [packages](https://github.com/huggingface/optimum-benchmark/pkgs/container/optimum-benchmark) for testing, benchmarking and reproducibility 🐳
 - Added vLLM backend for benchmarking [vLLM](https://github.com/vllm-project/vllm)'s inference engine 🚀
-- Hosted the codebase of the LLM-Perf Leaderboard [LLM-Perf](https://huggingface.co/spaces/optimum/llm-perf-leaderboard) 🥇
+- Hosted the codebase of the [LLM-Perf Leaderboard](https://huggingface.co/spaces/optimum/llm-perf-leaderboard) 🥇
 - Added Py-TXI backend for benchmarking [Py-TXI](https://github.com/IlyasMoutawwakil/py-txi/tree/main) 🚀
 - Introduced a Python API for running isolated benchmarks from the comfort of your Python scripts 🐍
 - Simplified the CLI interface for running benchmarks using the Hydra CLI 🧪