{"repo":"davinnovation/pytorch-boilerplate","free":true,"listed":false,"github":"https://github.com/davinnovation/pytorch-boilerplate","clone":"git clone https://github.com/davinnovation/pytorch-boilerplate.git","description":"The OTHER pytorch boilerplate","language":"Python","stars":45,"topics":["pytorch","boilerplate","pytorch-lightning","omegaconf","nni"],"license":null,"category":"saas-starters-boilerplates","readme_excerpt":"pytorch-boilerplate : flashlight The OTHER pytorch boilerplate. - [x] LightningModule [flashlight/runner/pl.py] - [x] Trainer [flashlight/runner/main pl.py] - [ ] Accelerators - [ ] Callback - [x] Logging [flashlight/runner/pl.py] - [ ] Metrics - [ ] Plugins Pre-requirements for local [ PRTM! ] - python 3.5 - pytorch 1.5.0, torchvision 0.6.0 for your OS/CUDA match version - ... and install requirements.txt packages pip install -r requirements.txt Getting Started master branch runs MNIST classification (torchvision dataset) with squeezenet (torchvision model) for detail, check config/config.py Run Single Experiment without NNI 0. Prepare enviroment : gpu docker, local python env... whatever - if docker : docker pull davinnovation/pytorch-boilerplate:alpha 1. python run.py or python -W ignore run.py 2. after experiment... tensorboard --logdir Logs Run Experiments with NNI 0. Prepare environment 1. nnictl create --config nni config.yml 2. localhost:8080 Diving into Code - Adding Network flashlight.network. init .py - Adding Dataset flashlight.dataloader. init .py - Change Loss, forward/backward... [Research Code] flashlight.runner.pl.py - Change Logger, hw options... [Engineering Code] flashlight.runner.main pl.py","default_branch":null,"files":null,"tree":[],"storefront":"/r/davinnovation","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/davinnovation/pytorch-boilerplate/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}