Skip to main content

The Qualcomm AI Runtime Development (QAIRT-DEV) package provides a simple python interface for executing ML models on QAIRT runtimes

Project description

Qualcomm AI Runtime Development (QAIRT-DEV) package

[Docs] [Discord Forums]

The Qualcomm AI Runtime (QAIRT) Development Python API provides a simple interface for executing ML models on QAIRT runtimes

It mirrors select capabilities and extends the features of existing QAIRT command line tools, while also providing an intuitive Pythonic API for easy integration into ML workflows

Features

  • Framework Model Conversion

    • Convert ONNX, Pytorch (1.x), TFLite framework models into DLC
    • Includes support for quantization and application of quantization encodings generated from AIMET
  • Compilation

    • Perform AOT compilation on QAIRT backends to generate optimized binaries.
    • Perform compiler optimization using tuning API on HTP
    • Supports compilation on HTP, HTP MCP and AIC backends.
  • Model Execution

    • Execute models on python native targets via Pybind wrappers on QAIRT APIs
    • Execute models on other targets (e.g android) via helper APIs that abstract platform specific details
  • Model Analysis

    • Generate profiling reports on all supported backends
    • Generate Op Trace and Qualcomm Hexagon Analysis Summary (QHAS) reports on HTP
  • Gen AI Model Building and Execution

    • Convert, optimize, and compile Gen AI models for on-device inference using a builder object with a single API call.
    • Perform text generation and obtain metrics via Generative AI Inference Engine
    • Construct Gen AI applications natively in python using simplified python bindings on Genie APIs.

Install

QAIRT Dev is available via pip:

pip install qairt-dev

Getting Started

QAIRT Dev documentation can be found here

Need help?

LICENSE

Qualcomm AI Runtime Development (QAIRT-DEV) package is Proprietary licensed. See LICENSE.pdf for further details.

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.

qairt_dev-0.3.0-py3-none-win_amd64.whl (168.5 kB view details)

Uploaded Python 3Windows x86-64

qairt_dev-0.3.0-py3-none-manylinux2014_x86_64.whl (168.5 kB view details)

Uploaded Python 3

File details

Details for the file qairt_dev-0.3.0-py3-none-win_amd64.whl.

File metadata

  • Download URL: qairt_dev-0.3.0-py3-none-win_amd64.whl
  • Upload date:
  • Size: 168.5 kB
  • Tags: Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.12

File hashes

Hashes for qairt_dev-0.3.0-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 2ebfb13a1bf5f5e1021f1becb6acd4bf7b5da9157cba5df30be98c099dcda9f6
MD5 402180e21483b02e66c84015e691989d
BLAKE2b-256 aeef2049996c8c2862b6483f06eae7c9aeba47784bd301afc88b246f8109078e

See more details on using hashes here.

File details

Details for the file qairt_dev-0.3.0-py3-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for qairt_dev-0.3.0-py3-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0aa57bdad0e672b21236fecbfa817c2c01f373e029d4806965ca13f426de6790
MD5 54a7d3cc6fe56e2c34c038c598fd072e
BLAKE2b-256 724dd69cbb6d6353d714c36930abc40a25b3c8073c848657448d8bd001890a50

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