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I-BERT

2000년 도입 · 논문 3편에서 사용

I-BERT is a quantized version of BERT that quantizes the entire inference with integer-only arithmetic. Based on lightweight integer only approximation methods for nonlinear operations, e.g., GELU, Softmax, and Layer Normalization, it performs an end-to-end integer-only BERT inference without any floating point calculation. In particular, GELU and Softmax are approximated with lightweight second-order polynomials, which can be evaluated with integer-only arithmetic. For LayerNorm, integer-only computation is performed by leveraging a known algorithm for integer calculation of square root.

출처: I-BERT: Integer-only BERT Quantization

소개 논문: I-BERT: Integer-only BERT Quantization

Autoencoding Transformers · Natural Language ProcessingTransformers · Natural Language Processing