coreml-validate
CommunityEnsure CoreML model accuracy with numerical parity validation.
Authormattmireles
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of validating CoreML models' numerical accuracy against PyTorch reference models, ensuring the model outputs are consistent and reliable.
Core Features & Use Cases
- Numerical Parity Validation: Compares CoreML model outputs against PyTorch reference model outputs, providing detailed correlation and error analysis.
- Multi-Precision Comparison: Allows comparison of both FP16 and FP32 precision outputs for accuracy assessment.
- Pipeline Comparison: Validates full inference pipelines, isolating and identifying any discrepancies at each stage.
Quick Start
Trigger the 'coreml-validate' skill with the specific model file and reference pipeline, e.g., 'coreml-validate path/to/model.mlpackage path/to/reference'
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 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: coreml-validate Download link: https://github.com/mattmireles/kokoro-coreml/archive/main.zip#coreml-validate Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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