wan-ascend-adaptation
CommunityStreamline CUDA to Ascend NPU model porting for Wan-series videos.
Software Engineering#parallelism#CUDA#NPU#distributed inference#model porting#Wan models#operator replacement
Authordongg622
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides comprehensive guidance for adapting Wan-series video diffusion models from NVIDIA CUDA to Huawei Ascend NPU, addressing device, operator, precision, and distributed parallelism challenges.
Core Features & Use Cases
- Device Migration: Facilitates changing CUDA dependencies to Ascend NPU via code modifications and environment configurations.
- Operator Replacement: Replaces normalization, positional encoding, and attention operators with native Ascend implementations for optimized performance.
- Parallelism & Distribution: Implements advanced distributed parallelism, model sharding, and inference optimization techniques suited for Ascend hardware.
- Use Case: A developer porting Wan2.2 CUDA models to an Atlas 800 series NPU environment for production deployment.
Quick Start
Follow the step-by-step guidance to modify script entry points, replace CUDA calls, and configure environment variables to enable efficient Ascend NPU execution for Wan-series models.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
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Please help me install this Skill: Name: wan-ascend-adaptation Download link: https://github.com/dongg622/china-ai-chip-skill/archive/main.zip#wan-ascend-adaptation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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