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7 Αυγ 2024 · PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.
Lightning can be installed with conda using the following command: conda install lightning -c conda-forge. You can also use Conda Environments: conda activate my_env. conda install lightning -c conda-forge. In case you face difficulty with pulling the GRPC package, please follow this thread.
Lightning can be installed with conda using the following command: conda install pytorch-lightning -c conda-forge. You can also use Conda Environments: conda activate my_env. conda install pytorch-lightning -c conda-forge. Build from Source. Install nightly from the source.
7 Αυγ 2024 · Lightning has 2 core packages. PyTorch Lightning: Train and deploy PyTorch at scale. Lightning Fabric: Expert control. Lightning gives you granular control over how much abstraction you want to add over PyTorch.
Lightning gives you granular control over how much abstraction you want to add over PyTorch. Quick start. Install Lightning: pip install lightning. Advanced install options. PyTorch Lightning example. Define the training workflow. Here's a toy example (explore real examples):
pip install lightning. Conda users. conda install lightning -c conda-forge. Or read the advanced install guide. You can find the list of supported PyTorch versions in our compatibility matrix.
pip install pytorch-lightning. Or without conda environments, use pip. pip install pytorch-lightning. Or conda. conda install pytorch-lightning -c conda-forge. The research. The Model. The LightningModule holds all the core research ingredients: The model. The optimizers. The train/ val/ test steps. Let’s first start with the model.
