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* chore: removes boilerplate, adds colab enterprise, changes region to location, adds testing variables * chore, fix: adds verification_mode to load_dataset to deal with error and runs end to end * chore: removes testing code * chore: lint * chore: addresses review comments
PyTorch distributed training with Vertex AI Reduction Server
Learn how to create a PyTorch distributed training job that uses PyTorch distributed training framework and tools, and run the training job on the Vertex AI Training service with Reduction Server.
The steps performed include:
* Create a PyTorch distributed training application
* Package the training application with pre-built containers
* Create a custom job on Vertex AI with Reduction Server
* Submit and monitor the job
Learn more about Vertex AI Training.
Learn more about Vertex AI Reduction Server.