Principle:Kubeflow Pipelines Pipeline Compilation
| Sources | Domains | Last Updated |
|---|---|---|
| KFP Compilation | ML_Pipelines, Compilation | 2026-02-13 |
Overview
The process of transforming a Python pipeline definition into a portable, serialized Intermediate Representation (IR) YAML that can be submitted to a Kubeflow Pipelines backend.
Description
Compilation converts the in-memory pipeline graph (defined via @dsl.pipeline) into a YAML file conforming to the KFP IR spec. The compiler resolves data dependencies, serializes component specs, and produces a self-contained artifact. This IR YAML can be versioned, shared, and submitted to any KFP-compatible backend.
Usage
Use after defining a pipeline to produce a portable artifact for deployment, sharing, or version control.
Theoretical Basis
Compiler design pattern - transform high-level DSL into lower-level execution spec. The pipeline graph (DAG) is serialized with all component specs, parameter defaults, and dependency edges.