Compiler API Operator Registration for Custom Deep Learning Ops

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Solution Overview

Problem

Existing compilers for deep learning software require significant developer knowledge and are time-consuming and error-prone due to the need for custom code integration to support new operators, which is not compiler-specific.

Innovation Solution

A method involving custom operator functions that utilize application programming interfaces (APIs) to dynamically register and integrate new operators into the compiler, allowing for compiler-specific support without requiring extensive internal knowledge.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If software code is specifically written and built into the compiler to support new operators, then the compiler can perform custom functionality, but the development process becomes time-consuming and error-prone

Engineering Contradiction:

Improvecompiler functionalityVSAvoiddevelopment time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent introduces an intermediary mechanism (operator registration system with API) that mediates between the developer's custom operator code and the compiler's execution engine. Instead of requiring direct integration into the compiler's core codebase, developers can register new operators through standardized interfaces, which then become available to the compiler for code generation. This intermediary layer abstracts the complexity while maintaining functionality.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If software code is specifically written and built into the compiler to support new operators, then the compiler can perform custom functionality, but the process becomes complex and requires significant developer knowledge

Engineering Contradiction:

Improvecompiler functionalityVSAvoidintegration complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements a universal operator registration interface that can accommodate various types of custom operators (mathematical operations, data transformations, custom functions) through a single standardized API. This multi-functional interface handles different operator types, registration methods, and integration scenarios uniformly, reducing the complexity that would otherwise require developers to understand multiple compiler-specific mechanisms.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Adaptability or versatility

If software code is built into the compiler when the compiler is compiled, then new operators are integrated, but the process is error-prone and requires extensive internal knowledge

Engineering Contradiction:

Improveoperator supportVSAvoidintegration reliability

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent incorporates feedback mechanisms in the operator registration process, including validation of operator definitions, verification of compatibility with target hardware, and error reporting that guides developers through common issues. The system provides feedback about successful registration, available operators to the compiler, and any configuration issues, thereby reducing errors and improving reliability without requiring extensive internal compiler knowledge.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12561184B2Application programming interface to cause operator to be used by compiler

Publication Date: 2026.02.24 NVIDIA CORP

AI summary

Apparatuses, systems, and techniques to add operators to a compiler. In at least one embodiment, one or more operators are added to a compiler using one or more application programming interfaces (APIs).