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
Metadata
1 maintainer
Release files for ameva-vulkan-runtime 1.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ameva_vulkan_runtime-1.2.1.tar.gz | 40.9 kB | Without provenance | Details for ameva_vulkan_runtime-1.2.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ameva_vulkan_runtime-1.2.1-py3-none-any.whl | Python 3 | none | any | Details for ameva_vulkan_runtime-1.2.1-py3-none-any.whl |
Total release size: 90.1 kB
Release files / ameva_vulkan_runtime-1.2.1.tar.gz
| Download URL | ameva_vulkan_runtime-1.2.1.tar.gz |
|---|---|
| Size | 40.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
295fa424a3b0c72ecdfd49aab99414f58535c55761f8999f7cb645344cf9fce9
|
|
BLAKE2b-256 checksum How to use checksums |
a5b1b3d502725ee5162f913c76c52f592071ff4ae70fc848877e66b85a0c30f3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.0
|
Release files / ameva_vulkan_runtime-1.2.1-py3-none-any.whl
| Download URL | ameva_vulkan_runtime-1.2.1-py3-none-any.whl |
|---|---|
| Size | 49.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0689158293ef278ddc99ce3151f7a825690d627f1e6c9e1e3be63822ca969c0c
|
|
BLAKE2b-256 checksum How to use checksums |
4883491b7557c9fbda6b24d3e0b5a1b1861cdee58ad90c3ca64d6a81b1e4ec20
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.0
|
Security for ameva-vulkan-runtime 1.2.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
