Distributed Parallel Training — Model Parallel Training

Distributed Parallel Training — Model Parallel Training

Distributed model parallel training for large models in PyTorch

Recent years have seen an exponential increase in the scale of deep learning models and the challenge of distributed parallel training. For example, the famous GPT-3 has 175 billion parameters and 96 attention layers with a 3.2 M batch size and 499 billion words. Amazon SageMaker training platform can achieve a throughput of 32 samples per second on …

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