Previous blog posts overviewed the MLIR dialect hierarchy for kernel code generation (CodeGen) and zoomed in on the Linalg and Vector dialects among them. Now I will switch to discuss the runtime side a bit, in order to provide a holistic view of MLIR-based machine learning (ML) compilers. This one touches the foundation and basics, including the target landscape, runtime requirements and designs to meet thereof.| Lei.Chat()
I explained the Vector dialect and related patterns in the previous blog post. In this one let us look at a layer higher and talk about the Linalg dialect and transformations around it.| Lei.Chat()
The vector dialect and related transformations are crucial components in the MLIR CodeGen flow for machine learning (ML). Today I will zoom in on it to explain its positioning in the overall picture, characteristics, important operations and transformations, and best practices of using it based on my experiences.| Lei.Chat()
Vector dialect 及其相关变换 (transformation) 是机器学习代码生成流程中的重要一环。 今天我们来仔细分析一下其定位、设计、特性，并介绍其中的重要操作 (operation) 和变换， 最后用实例来说明如何恰当使用 vector dialect 相关功能。| Lei.Chat()