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Principle:Kubeflow Pipelines Pipeline Compilation

From Leeroopedia
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.

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