Skip to main content

Rockchip Neural Network Toolkit Lite2. (commit: 1482e03)

Project description

Introduction

RKNN-Toolkit-Lite2 provides Python programming interfaces for Rockchip NPU platform to help users deploy RKNN models and accelerate the implementation of AI applications.

For more details, please refer to https://github.com/airockchip/rknn-toolkit2

Download

  • You can also download all packages, docker image, examples, docs and platform-tools from RKNPU2_SDK, fetch code: rknn

Notes

  • Currently only support on:
    • AArch64 Linux
    • Python 3.7/3.8/3.9/3.10/3.11/3.12

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

rknn_toolkit_lite2-2.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (527.5 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

rknn_toolkit_lite2-2.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (569.2 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

rknn_toolkit_lite2-2.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (559.4 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

rknn_toolkit_lite2-2.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (559.8 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

rknn_toolkit_lite2-2.3.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (562.6 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ ARM64

rknn_toolkit_lite2-2.3.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (546.4 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ ARM64

File details

Details for the file rknn_toolkit_lite2-2.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for rknn_toolkit_lite2-2.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e1e4ec691fed900c0e6fde5e7d8eeba17f806aa45092b63b361ee775e2c1b50e
MD5 1abc7ca8e3530f6dba5f51564ed2d6b2
BLAKE2b-256 ffdb64c756f3f06b219e92ff4f0fd4e000870ee49f214d505ff01c8b0275e26d

See more details on using hashes here.

File details

Details for the file rknn_toolkit_lite2-2.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for rknn_toolkit_lite2-2.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 bda74f1179e15fccb8726054a24898982522784b65bb340b20146955d254e800
MD5 5da9258e0c69779707e8a06411c398da
BLAKE2b-256 c13de80e1742420f62cb628d40a8bf547d6f7c9dbe4e13dcb7b7e7c0b5620e74

See more details on using hashes here.

File details

Details for the file rknn_toolkit_lite2-2.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for rknn_toolkit_lite2-2.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 821e80c95e6838308c133915660b1a6ae78bb8d079b2cbbd46a02dae61192d33
MD5 010dc8d577d91ee779f456ccf9997c7e
BLAKE2b-256 abdb76b40afe343f8a8c5222300da425e0dace30ce639a94776468b1d157311b

See more details on using hashes here.

File details

Details for the file rknn_toolkit_lite2-2.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for rknn_toolkit_lite2-2.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 065ca7db91fd342b08a01c68ffd317308c86b696c96b878373f3635b3e47adef
MD5 69f5bbe44bca65fa2298fd87cf8bc152
BLAKE2b-256 fd11849e2ca357a1aa44e5f23ac089741eec0e8b0d95388bf5371566c86d3a7b

See more details on using hashes here.

File details

Details for the file rknn_toolkit_lite2-2.3.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for rknn_toolkit_lite2-2.3.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4309821b592df85b1fd2a7ff8b863e371ab25d60fca2b86defb8c4542db9d3e9
MD5 9858a6ac17fe698c2bdbf0e58ed291dd
BLAKE2b-256 d4bea85366ce4852519b314eab22573017ce0441bed70810ef8de08487b12381

See more details on using hashes here.

File details

Details for the file rknn_toolkit_lite2-2.3.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for rknn_toolkit_lite2-2.3.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 98c4fc031aece1e96394ea7bd6d13368cd0d4a7107f76bdcb7fa0a9945be2e5a
MD5 24318587c29675dc2e022c08f4581c82
BLAKE2b-256 2b261adfbf59944366ac660f17faf3864842982e5869e05d7555ca1c2b0a2b36

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page