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neuron-nki-debugging

Diagnose and fix Neuron Kernel Intermediate (NKI) compilation issues.

50|4|Updated Apr 23, 2026
Search Tags:#debugging#kernel development#performance profiling#compiler errors#neuron#error diagnostics
One-click install
npx skills add https://github.com/aws-neuron/neuron-agentic-development --skill neuron-nki-debugging
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: neuron-nki-debugging
Source: https://github.com/aws-neuron/neuron-agentic-development/tree/main/skills/neuron-nki-debugging
Command: npx skills add https://github.com/aws-neuron/neuron-agentic-development --skill neuron-nki-debugging

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires torch_xla, nki, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps developers identify and troubleshoot compilation errors in NKI kernels running on Neuron hardware, saving time during development and deployment.

Core Features & Use Cases

  • Error Diagnosis: Provides step-by-step workflows to diagnose common compiler errors related to unsupported operations, data types, or configuration issues.
  • Platform Compatibility Checks: Guides verifying hardware platform detection, platform flags, and configuration correctness.
  • Validation & Profiling: Offers instructions to validate reference outputs and profile kernel performance, including enabling compiler artifacts for deeper analysis.
  • Use Case: A developer encounters a compile failure due to unsupported data types; this Skill guides systematically identifying the cause and fixing the issue, ensuring the kernel builds successfully.

Quick Start

Follow the instructions to set environment variables, configure platform flags, and execute test scripts that trigger compilation errors, then analyze the resulting artifacts for resolution.

Frequently Asked Questions about neuron-nki-debugging

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I debug Neuron kernel compilation errors in NKI code?▼

To debug Neuron kernel compilation errors, use workflows that locate, diagnose, and fix unsupported operations or data types in NKI code before hardware deployment.

Why does my NKI kernel fail to compile due to unsupported data types?▼

NKI kernel compilation fails due to unsupported data types when configuration issues exist. You can diagnose the exact cause by inspecting compiler artifacts and validating reference outputs against expected results.

How do I set up the environment for Neuron kernel performance profiling?▼

To set up the environment for Neuron kernel performance profiling, configure the required platform flags and environment variables. This enables compiler artifacts for deeper analysis and validation of kernel performance.

Can I validate reference outputs and check platform compatibility for NKI kernels?▼

Yes, you can validate reference outputs and check platform compatibility by verifying hardware platform detection and platform flags. This ensures your NKI kernel configuration is correct for Neuron hardware deployment.

What are the limitations when debugging NKI compiler errors with torch_xla?▼

When debugging NKI compiler errors with torch_xla, limitations arise from complex kernel development workflows requiring robust error handling. Incorrect platform detection or missing environment variables can prevent successful artifact inspection and resolution.

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