AMEVA-Vulkan-Runtime (Python)
안드로이드 Termux 환경에서 디바이스 리소스를 활용하는 SoC 감지 및 적응형 추상화 런타임
SoC-Aware Adaptive Abstraction Runtime Utilizing Device Resources for Android Termux
Installation
pip install ameva-vulkan-runtime
Quickstart
import ameva_vulkan_runtime as avr
# 1. Probe & Validate Hardware (V0-V11)
doctor = avr.Doctor()
report = doctor.run_self_test()
print(f"GPU Backend Status: {report.overall_success}, Device: {report.device_name}")
# 2. Acquire High-Performance Vulkan Context for STT / LLM / Diffusion
ctx = avr.create_context(device="auto", memory_limit_mb=1024)
print(f"Context initialized via: {ctx.loader_path} (API {ctx.driver_version})")
Description
Provides a C++20 Hardware Abstraction Layer (HAL) with Zero-Guesswork SoC auto-detection, utilizing hardware paths on Qualcomm Adreno and stable ARM NEON 4-Thread FP16 CPU execution on Exynos Mali.
Documentation
License
Apache-2.0 License. Copyright (c) 2026 Eunho Kim (@uno-km).
1 maintainer
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