026fac2a14
Most computer vision torch models uses nchw/ncw convolution. In a previous patch we added decomposition conv2dNchw to conv1dNcw. To enhance the performance on torch models we add this vectorization pattern for conv1dNcw which would consquently also improve the performance on conv2dNchw. On IREE + Intel Xeon 8360 + Resnet50, we were able to get ~7x speed up ~880ms to 126ms. Reviewed By: nicolasvasilache, hanchung Differential Revision: https://reviews.llvm.org/D133675
Multi-Level Intermediate Representation
See https://mlir.llvm.org/ for more information.