Automating Optimization of Quantized Deep Learning Models on CUDA (tvm.ai)

With learning-based program optimizer, we can competitive performance on benchmark models and significant boost on emerging models against TensorRT(int8).

Nice work accelerating convolutional models! It might be better to see (or cite papers about) the trade-off how model performance (accuracy, etc) changes w.r.t. how it is quantized.