aoti-debug
CommunityDebug AOTI errors and crashes.
AuthorBillkst
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps diagnose and resolve errors and crashes encountered when using AOTInductor (AOTI), a compilation toolchain for PyTorch.
Core Features & Use Cases
- Device and Shape Mismatch Debugging: Identifies and guides the user to fix common errors arising from incorrect device type or input shape configurations during compilation and loading.
- CUDA Illegal Memory Access (IMA) Resolution: Provides a systematic approach to pinpoint and debug CUDA IMA errors, including the use of specific environment variables and debugging flags.
- Use Case: When
aot_load()fails with a segfault or runtime errors occur during model inference due to device mismatches, this skill provides the necessary steps to identify and correct the configuration.
Quick Start
Use the aoti-debug skill to help resolve a segfault encountered during aot_load().
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: aoti-debug Download link: https://github.com/Billkst/Causal-TabDiff/archive/main.zip#aoti-debug Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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