TorchDistributor is an open-source module in PySpark that helps users do distributed training with PyTorch on their Spark clusters, so it lets you launch PyTorch training jobs as Spark jobs.
With Databricks Runtime 13.0 ML and above, you can perform distributed training on PyTorch ML models using TorchDistributor. See Distributed training with TorchDistributor https://docs.databricks.com/machine-learning/train-model/distributed-training/spark-pytorch-distribu...
