Scale model training across multiple GPUs and nodes using PyTorch Distributed Data Parallel.
Set up distributed training for my PyTorch model. Training requirements: - Model size: [PARAMETERS] - Dataset size: [SAMPLES] - Hardware: [GPU COUNT AND TYPE] - Target: [SINGLE NODE MULTI-GPU / MULTI-NODE] Distributed training setup: 1. DDP initialization: - Process group setup - Backend selection (NCCL/Gloo) …
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[PARAMETERS][SAMPLES][GPU COUNT AND TYPE]