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