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model-zoo's Introduction

Open Pre-Trained Models

Usage - Compile and run

Install tpu-perf to build and run model cases.

# Time only cases
python3 -m tpu_perf.build --list default_cases.txt --time
python3 -m tpu_perf.run --list default_cases.txt

# Precision benchmark
python3 -m tpu_perf.build --list default_cases.txt
python3 -m tpu_perf.precision_benchmark --list default_cases.txt

Usage - Git LFS

On default, cloning this repository will not download any models. Install Git LFS with pip install git-lfs.

To download a specific model: git lfs pull --include="[path to model].onnx" --exclude=""

To download all models: git lfs pull --include="*" --exclude=""

Usage - Model visualization

You can see visualizations of each model's network architecture by using Netron.

How to contribute

Please lint in your local repo before PR.

# Install tools
sudo npm install -g markdownlint-cli
pip3 install yamllint

yamllint -c ./.yaml-lint.yml .
markdownlint '**/*.md'
python3 .github/workflows/check.py

model-zoo's People

Contributors

alanguo1234 avatar charlesxzb avatar harmonyhu avatar jeffwhen avatar luluman avatar nathan31415926 avatar xiangbin-gh avatar

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