Skip to main content

ONNX Runtime QNN is an onnxruntime execution provider optimized for Qualcomm AI accelerators

Project description

ONNX Runtime QNN is a plugin execution provider that brings Qualcomm hardware acceleration to ONNX Runtime — enabling high-performance AI inference on Qualcomm Snapdragon SoCs via the Qualcomm AI Runtime SDK (QAIRT).

This repository is maintained by Qualcomm. For the general ONNX Runtime project, visit microsoft/onnxruntime.

Changes

2.1.1

Release Notes : https://github.com/onnxruntime/onnxruntime-qnn/releases/tag/v2.1.1

2.1.0

Release Notes : https://github.com/onnxruntime/onnxruntime-qnn/releases/tag/v2.1.0

2.0.0

Release Notes : https://github.com/onnxruntime/onnxruntime-qnn/releases/tag/v2.0.0

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.

onnxruntime_qnn-2.1.1-cp314-cp314-win_arm64.whl (56.2 MB view details)

Uploaded CPython 3.14Windows ARM64

onnxruntime_qnn-2.1.1-cp314-cp314-win_amd64.whl (185.9 MB view details)

Uploaded CPython 3.14Windows x86-64

onnxruntime_qnn-2.1.1-cp314-cp314-manylinux_2_34_aarch64.whl (75.5 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.34+ ARM64

onnxruntime_qnn-2.1.1-cp313-cp313-win_arm64.whl (56.2 MB view details)

Uploaded CPython 3.13Windows ARM64

onnxruntime_qnn-2.1.1-cp313-cp313-win_amd64.whl (185.9 MB view details)

Uploaded CPython 3.13Windows x86-64

onnxruntime_qnn-2.1.1-cp313-cp313-manylinux_2_34_aarch64.whl (75.5 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.34+ ARM64

onnxruntime_qnn-2.1.1-cp312-cp312-win_arm64.whl (56.2 MB view details)

Uploaded CPython 3.12Windows ARM64

onnxruntime_qnn-2.1.1-cp312-cp312-win_amd64.whl (185.9 MB view details)

Uploaded CPython 3.12Windows x86-64

onnxruntime_qnn-2.1.1-cp312-cp312-manylinux_2_34_aarch64.whl (75.5 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.34+ ARM64

onnxruntime_qnn-2.1.1-cp311-cp311-win_arm64.whl (56.2 MB view details)

Uploaded CPython 3.11Windows ARM64

onnxruntime_qnn-2.1.1-cp311-cp311-win_amd64.whl (185.9 MB view details)

Uploaded CPython 3.11Windows x86-64

onnxruntime_qnn-2.1.1-cp311-cp311-manylinux_2_34_aarch64.whl (75.5 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.34+ ARM64

File details

Details for the file onnxruntime_qnn-2.1.1-cp314-cp314-win_arm64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.1.1-cp314-cp314-win_arm64.whl
Algorithm Hash digest
SHA256 680c003d390a50432d9075055d61ac8a3fe11eb61653f06964fa13e07ef33dc4
MD5 08cb5c687dec8e9253705677921a38bc
BLAKE2b-256 0b4288a38a6cf71e283b56dea749311aa1ffdd20631ea8e3e179384764888a3a

See more details on using hashes here.

File details

Details for the file onnxruntime_qnn-2.1.1-cp314-cp314-win_amd64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.1.1-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 57a6139f3c83f2e4467a4b8040eb7c3540257f224671806a8b59421a7eac81b4
MD5 925f5aef6fa14adb313995fa2ad384f9
BLAKE2b-256 39b36cdebfdd42980114d7572c6c427c934dbcaa7510cf614b1b0e443010ab33

See more details on using hashes here.

File details

Details for the file onnxruntime_qnn-2.1.1-cp314-cp314-manylinux_2_34_aarch64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.1.1-cp314-cp314-manylinux_2_34_aarch64.whl
Algorithm Hash digest
SHA256 df2f0c718afe750db5cb1d2e6e3d053a91364d4882ff6aa175465617e49a778d
MD5 33edefe25d37c87523d362b6df4a176f
BLAKE2b-256 bdc70a75eece1eaa7614fb10433b6624c12ea5d752ab6d50c968178ab8a6250e

See more details on using hashes here.

File details

Details for the file onnxruntime_qnn-2.1.1-cp313-cp313-win_arm64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.1.1-cp313-cp313-win_arm64.whl
Algorithm Hash digest
SHA256 bd9ac30146b4297947cd89cefd2d01e7ac11c0f1254e06e83cf0d5465421b44a
MD5 c450dc4b6605511aa4b2909d76363f7d
BLAKE2b-256 ffe9e20b12fe30bc9174b446e97b0396f1e07ecb9c39055022b06a31612fe862

See more details on using hashes here.

File details

Details for the file onnxruntime_qnn-2.1.1-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.1.1-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 060354a2c0cd3af1f7158543f06e27dc09c2aa159cd465799d748a3722542674
MD5 7fb4517018d4c5b2af1c0364df5154fc
BLAKE2b-256 618b80aec49aed73fd115242322a19971e7c5b0471978c565ec17a42fab9cb7f

See more details on using hashes here.

File details

Details for the file onnxruntime_qnn-2.1.1-cp313-cp313-manylinux_2_34_aarch64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.1.1-cp313-cp313-manylinux_2_34_aarch64.whl
Algorithm Hash digest
SHA256 3c02689aba6be28daf082cd8d97891fe83545de729eecc36b7426349210a0b83
MD5 4f3f82317ad645c3b46f2cc4746d98af
BLAKE2b-256 9d9d0267f8f9016f1c4c70b2e717435c2c8b7fa0f28621378f2d53a5e7558993

See more details on using hashes here.

File details

Details for the file onnxruntime_qnn-2.1.1-cp312-cp312-win_arm64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.1.1-cp312-cp312-win_arm64.whl
Algorithm Hash digest
SHA256 23c5aa5187ad89ca0ca6f7fd6598bad81f0dbacf35c3cb890fcb0a721deb5f91
MD5 2ddf3c87ed67265e77871ff42c2e412b
BLAKE2b-256 de3f502c060fe38eae6f2a49f847761a5b23c5eed0ee2ac225b27d3e2308da9c

See more details on using hashes here.

File details

Details for the file onnxruntime_qnn-2.1.1-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.1.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 3117ae2e580560ea3c05111dfbbaffe6ec0c33435ea41820caf6aca84652e14c
MD5 36214e1be039b902491e073c02d14e5c
BLAKE2b-256 42d506f956aaa3cf021a8ad1e2f57ddbe479eea95efb6eabc1c08bae8ee02153

See more details on using hashes here.

File details

Details for the file onnxruntime_qnn-2.1.1-cp312-cp312-manylinux_2_34_aarch64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.1.1-cp312-cp312-manylinux_2_34_aarch64.whl
Algorithm Hash digest
SHA256 09f5e35b713c51f6877948fde90c3c2b0c6b13aa2ab860ec36a934791db6e717
MD5 0f0d94158cfe1172244c97580fb7469a
BLAKE2b-256 e52e4a8e621b511b1a33097f9ac03b8db12364874c55a1c29ff76e4bf06c037f

See more details on using hashes here.

File details

Details for the file onnxruntime_qnn-2.1.1-cp311-cp311-win_arm64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.1.1-cp311-cp311-win_arm64.whl
Algorithm Hash digest
SHA256 13aad6abad2e52f75299417d8682d0e1df99283ac3a7d56f146565f51f8599b2
MD5 bd75000cf146a25a25b538460fd3ec8d
BLAKE2b-256 e55e78d341d69171eca6404dc355d20f9942a2a226d6d9e9653924bc1b6859b0

See more details on using hashes here.

File details

Details for the file onnxruntime_qnn-2.1.1-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.1.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 413dbde2fb9a2f02c1eb224d1c67e83ec753c0d39095e0234256b722ad598e9e
MD5 ea58e9e768280ceb3b8d79d2a1a53568
BLAKE2b-256 025c82eea53242c42992a46830f2be639820d15f7176b6b07cef68568a1cae6d

See more details on using hashes here.

File details

Details for the file onnxruntime_qnn-2.1.1-cp311-cp311-manylinux_2_34_aarch64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.1.1-cp311-cp311-manylinux_2_34_aarch64.whl
Algorithm Hash digest
SHA256 495da5fe10bcb3200cc52fb58228f9220434a73d819f149287bef40d83ca696a
MD5 1c9a744ce055aa34946bc70ebd761215
BLAKE2b-256 16e8fa3c5e2baef65438d1323949bed10dfb04f8e2b35397cf4a8ba0e7511fe5

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