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Beyond Homogeneous Transformers: Loss Functions and Inference Optimization

i think your position comes from a fundamentally incomplete estimation of the parts of the graph that are not a homogeneous transformer — the loss function, the beam search, things like activation checkpointing that isnt simply autodiff, token fusion style tricks. caffe style

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