A dynamic inference wrapper for Transformer language models that enables per-token layer skipping to reduce computational FLOPs.
ANEE is an experimental dynamic inference wrapper for pretrained Transformer language models (currently GPT-2). Instead of always running all layers, ANEE exposes an energy_budget and performs early exit inside the model’s forward pass.
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