Created by: shenhuinuist

According to Paddle's documents, sparse training is usually used to accelerate calculation when input is sparse data with highly dimension, and sparse update is not applicable to dense input. I find Paddle speed up matrix multiplication by calling external math libraries. Is there any accelerate calculation mechanism or accelerate training mechanism applied in Paddle especially when input is dense ? Can you show me more details?