ONNX Runtime QNN

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

2.7.0

Release Notes : https://github.com/onnxruntime/onnxruntime-qnn/releases/tag/v2.7.0

2.6.0

Release Notes : https://github.com/onnxruntime/onnxruntime-qnn/releases/tag/v2.6.0

2.5.0

Release Notes : https://github.com/onnxruntime/onnxruntime-qnn/releases/tag/v2.5.0

2.4.0

Release Notes : https://github.com/onnxruntime/onnxruntime-qnn/releases/tag/v2.4.0

2.3.0

Release Notes : https://github.com/onnxruntime/onnxruntime-qnn/releases/tag/v2.3.0

2.2.0

Release Notes : https://github.com/onnxruntime/onnxruntime-qnn/releases/tag/v2.2.0

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 links

Key dates

PyPI data
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  • Released:
Latest release

1 maintainer

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Credits

Author: Qualcomm Technologies, Inc.

License

MIT License (MIT License)

Requires

Python >=3.11

Tags

onnx machine learning qnn qualcomm

Classifiers

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Metadata

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for qairt-pypi-maintainers from gravatar.com qairt-pypi-maintainers

Credits

Author: Qualcomm Technologies, Inc.

License

MIT License (MIT License)

Requires

Python >=3.11

Tags

onnx machine learning qnn qualcomm

Classifiers

Report project as malware

Release files for onnxruntime-qnn 2.7.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for onnxruntime-qnn 2.7.0
File
onnxruntime_qnn-2.7.0-cp314-cp314-win_arm64.whl 62.3 MB CPython 3.14 CPython 3.14 Windows ARM64 Details
onnxruntime_qnn-2.7.0-cp314-cp314-win_amd64.whl 195.6 MB CPython 3.14 CPython 3.14 Windows x86-64 Details
onnxruntime_qnn-2.7.0-cp314-cp314-manylinux_2_35_x86_64.whl 98.6 MB CPython 3.14 CPython 3.14 Linux glibc 2.35+ x86-64 Details
onnxruntime_qnn-2.7.0-cp314-cp314-manylinux_2_34_aarch64.whl 86.7 MB CPython 3.14 CPython 3.14 Linux glibc 2.34+ ARM64 Details
onnxruntime_qnn-2.7.0-cp313-cp313-win_arm64.whl 62.3 MB CPython 3.13 CPython 3.13 Windows ARM64 Details
onnxruntime_qnn-2.7.0-cp313-cp313-win_amd64.whl 195.7 MB CPython 3.13 CPython 3.13 Windows x86-64 Details
onnxruntime_qnn-2.7.0-cp313-cp313-manylinux_2_35_x86_64.whl 98.6 MB CPython 3.13 CPython 3.13 Linux glibc 2.35+ x86-64 Details
onnxruntime_qnn-2.7.0-cp313-cp313-manylinux_2_34_aarch64.whl 86.7 MB CPython 3.13 CPython 3.13 Linux glibc 2.34+ ARM64 Details
onnxruntime_qnn-2.7.0-cp312-cp312-win_arm64.whl 62.3 MB CPython 3.12 CPython 3.12 Windows ARM64 Details
onnxruntime_qnn-2.7.0-cp312-cp312-win_amd64.whl 198.6 MB CPython 3.12 CPython 3.12 Windows x86-64 Details
onnxruntime_qnn-2.7.0-cp312-cp312-manylinux_2_35_x86_64.whl 100.5 MB CPython 3.12 CPython 3.12 Linux glibc 2.35+ x86-64 Details
onnxruntime_qnn-2.7.0-cp312-cp312-manylinux_2_34_aarch64.whl 88.8 MB CPython 3.12 CPython 3.12 Linux glibc 2.34+ ARM64 Details
onnxruntime_qnn-2.7.0-cp311-cp311-win_arm64.whl 62.3 MB CPython 3.11 CPython 3.11 Windows ARM64 Details
onnxruntime_qnn-2.7.0-cp311-cp311-win_amd64.whl 195.7 MB CPython 3.11 CPython 3.11 Windows x86-64 Details
onnxruntime_qnn-2.7.0-cp311-cp311-manylinux_2_35_x86_64.whl 98.6 MB CPython 3.11 CPython 3.11 Linux glibc 2.35+ x86-64 Details
onnxruntime_qnn-2.7.0-cp311-cp311-manylinux_2_34_aarch64.whl 86.7 MB CPython 3.11 CPython 3.11 Linux glibc 2.34+ ARM64 Details

Total release size: 1.8 GB

Release files / onnxruntime_qnn-2.7.0-cp314-cp314-win_arm64.whl

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Size 195.6 MB
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