Skip to main content

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

Project description

ONNX Runtime is a performance-focused scoring engine for Open Neural Network Exchange (ONNX) models. For more information on ONNX Runtime, please see aka.ms/onnxruntime or the Github project.

Changes

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-2.0.0-cp314-cp314-win_arm64.whl (49.9 MB view details)

Uploaded CPython 3.14Windows ARM64

onnxruntime_qnn-2.0.0-cp314-cp314-win_amd64.whl (88.3 MB view details)

Uploaded CPython 3.14Windows x86-64

onnxruntime_qnn-2.0.0-cp313-cp313-win_arm64.whl (49.9 MB view details)

Uploaded CPython 3.13Windows ARM64

onnxruntime_qnn-2.0.0-cp313-cp313-win_amd64.whl (88.3 MB view details)

Uploaded CPython 3.13Windows x86-64

onnxruntime_qnn-2.0.0-cp312-cp312-win_arm64.whl (49.9 MB view details)

Uploaded CPython 3.12Windows ARM64

onnxruntime_qnn-2.0.0-cp312-cp312-win_amd64.whl (88.3 MB view details)

Uploaded CPython 3.12Windows x86-64

onnxruntime_qnn-2.0.0-cp311-cp311-win_arm64.whl (49.9 MB view details)

Uploaded CPython 3.11Windows ARM64

onnxruntime_qnn-2.0.0-cp311-cp311-win_amd64.whl (88.3 MB view details)

Uploaded CPython 3.11Windows x86-64

File details

Details for the file onnxruntime_qnn-2.0.0-cp314-cp314-win_arm64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.0.0-cp314-cp314-win_arm64.whl
Algorithm Hash digest
SHA256 0a68ab0b6f8a279a1d5941ca31b60a0d7e7e76f6e3f1dc12c65e1c77db949d2c
MD5 b15fc33248217caed2f12e6b00d5f06e
BLAKE2b-256 fda223b4445701a43f7ddb5ac3703c527a0b2763383e4f0c73ebd4eb7ac7b78d

See more details on using hashes here.

File details

Details for the file onnxruntime_qnn-2.0.0-cp314-cp314-win_amd64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.0.0-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 221c4be6afbe4152539bcab70f8da54b507477d0bc53a730331a1c2b14ef4a23
MD5 fd02193b0cf5d8a0edc29f434bed3919
BLAKE2b-256 376268f798133e272d153b934064d722a22d23d78e99834e7db9d1183e06a532

See more details on using hashes here.

File details

Details for the file onnxruntime_qnn-2.0.0-cp313-cp313-win_arm64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.0.0-cp313-cp313-win_arm64.whl
Algorithm Hash digest
SHA256 3379f23f0dc01e0111e9dc51656f7c2ebb94cc44c106c7e2595a262417f9d017
MD5 bb3ff0c2e990fb54b6536fb04b9ef4d2
BLAKE2b-256 da8a2294a0cb0f79996eb2c3fac40fefd639f2a77e010f600fb8ebae4a6e05cb

See more details on using hashes here.

File details

Details for the file onnxruntime_qnn-2.0.0-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.0.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 447a788111204e31c4526821e1aac6b7b6caea1f92835b5ad012ebc827d09674
MD5 2c2f9feae3c6e39a1f87b987c8c590c6
BLAKE2b-256 b2dfd8332f9cd6d07695ccd3a923c148eec4dda48430d9d6bb4daa72652fb482

See more details on using hashes here.

File details

Details for the file onnxruntime_qnn-2.0.0-cp312-cp312-win_arm64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.0.0-cp312-cp312-win_arm64.whl
Algorithm Hash digest
SHA256 4ce28e2ed8199916e08d68aacd004c22ef346382588a5824cabaff4e30ccf146
MD5 001725b9ea91d2b93ef5d07c017b4833
BLAKE2b-256 a04adbd2a9d7df353e8dcf55871170a87a9be1ee9ca73fda198902591a7e54b6

See more details on using hashes here.

File details

Details for the file onnxruntime_qnn-2.0.0-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.0.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 6ac3a7492038a8de914b4e2703e9facced994f1945b8147edf3ef68cac039ea4
MD5 29c4f182b6ee8e2e2f9f4deafedb4188
BLAKE2b-256 15c959c07aafe41152b0c94c104cab8adbe945600707b360ca29cf03704fc07a

See more details on using hashes here.

File details

Details for the file onnxruntime_qnn-2.0.0-cp311-cp311-win_arm64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.0.0-cp311-cp311-win_arm64.whl
Algorithm Hash digest
SHA256 6aab331db190e52716159709089fde94c6bc77c5f6f0ac245d30d3c9b4b41c05
MD5 17c31bad0b3510558146db40527986e7
BLAKE2b-256 98c0fdbaa43a4e8e7fcd3efc908ea6534a75297171869b755b7a44e74229c2c7

See more details on using hashes here.

File details

Details for the file onnxruntime_qnn-2.0.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for onnxruntime_qnn-2.0.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 f66941404354f305e9ea9f037eab1941e564bd9152a43e794d498c92e818fe8a
MD5 935fa9457d7db1fe1d43a5e9f0e306d1
BLAKE2b-256 80baac3dfeae25ae4ea9fd63bc14b9c3d975d8eb6878b0c58b2c3ae328cac8ce

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