triton-operator-env-config

Configure and validate a Triton-Ascend environment for operator development.

31|1|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/Ascend/agent-skills --skill triton-operator-env-config
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: triton-operator-env-config
Source: https://github.com/Ascend/agent-skills/tree/main/skills/triton-operator-env-config
Command: npx skills add https://github.com/Ascend/agent-skills --skill triton-operator-env-config

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires torch, torch_npu, triton, and includes scripts (resource) components.

What problem does it solve?

This Skill helps developers configure and validate a Triton-Ascend environment for Triton operator development, ensuring required components and path settings are properly established.

Core Features & Use Cases

  • Environment checks and step-by-step configuration for CANN, Python, torch_npu, and triton-ascend.
  • Version compatibility guidance and automated verification using a provided script.
  • Use Case: preparing a development workstation to build Triton-based operators on Ascend.

Quick Start

Run the environment validation workflow to configure and verify your Triton-Ascend setup for operator development.

Frequently Asked Questions about triton-operator-env-config

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

FAQPage Schema
How do I configure a Triton-Ascend environment for custom operator development?

Configuring a Triton-Ascend environment requires verifying CANN, Python, torch_npu, and PATH settings. This Skill applies official version requirements and step-by-step checks to establish a reproducible workflow for Triton operator development on Ascend hardware.

What is the best way to validate my Triton-Ascend setup after installation?

Validating a Triton-Ascend setup involves running an end-to-end check using a provided validation script, 01-vector-add.py. This verifies correct installation and ensures your torch_npu and triton dependencies are properly configured for operator compilation.

Do I need specific torch_npu and CANN versions to build Triton operators on Ascend?

Building Triton operators on Ascend requires specific torch_npu and CANN versions to ensure compatibility. This Skill conforms to official version requirements, providing an environment check sequence to confirm your dependencies meet the necessary standards.

Why does my Triton operator environment validation fail on Ascend?

Triton operator environment validation may fail due to incorrect CANN paths, incompatible Python or torch versions, or missing torch_npu configurations. This Skill automates PATH verification and applies official version checks to identify and resolve these setup issues.

Can I use standard Triton directly with torch_npu for Ascend development?

Using standard Triton with torch_npu requires a specific triton-ascend configuration to function correctly on Ascend hardware. This Skill provides the necessary environment checks and automated verification to ensure your torch and triton integration is properly established.