Distributed Training, Model Parallelism, Data Parallelism, Pytorch, Aurorain.
weight partitioning strategies in Google Switch Transfers. Each 4×4 dotted-line grid represents 16 cores, and the shaded squares are the data on that core (either model weights or batch of tokens). It demonstrates how the model weights and the data tensors are split for each strategy. The first row