Overview of Qualcomm® AI Hub

• Getting started
  • Installation
  • Quick example (PyTorch)
• How it works
  • What does Qualcomm® AI Hub measure?

Examples

• Compiling Models
  • Compiling PyTorch to TensorFlow Lite
  • Compiling PyTorch model to a QNN Model Library
  • Compiling PyTorch model to a QNN Context Binary
  • Compiling Precompiled QNN ONNX
  • Compiling PyTorch model for the ONNX Runtime
  • Compiling ONNX models to TensorFlow Lite or QNN
  • Compiling models quantized with AIMET to TensorFlow Lite or QNN
• Profiling Models
  • Profiling a previously compiled model
  • Profiling a PyTorch model
  • Profiling a TorchScript model
  • Profiling an ONNX model
  • Profiling a QNN Context Binary
  • Profiling a TensorFlow Lite model
  • Profiling a model on multiple devices
  • Uploading a model for profiling
  • Profiling a previously uploaded model
• Running Inference
  • Running Inference with a TensorFlow Lite model
  • Running Inference with a QNN Model Library & QNN Context Binary
  • Verify model accuracy on-device using an inference job
  • Running inference using a previously uploaded dataset and model
• Quantization (Beta)
  • Overview
  • Preparing the source model
  • Quantizing an ONNX model
  • Compiling a quantized model
  • Quantization options
  • Benchmarking quantized model performance
• Linking
  • Variable input size example
• Devices
  • Device Selection
  • Device Filtering
• Working with jobs
  • Querying Jobs
  • Profile Jobs
  • Sharing Jobs
• Command Line Interface
  • Examples
• Deployment
  • Qualcomm® AI Hub Apps

API Documentation

• API documentation
  • Core API
  • Managed objects
  • Exceptions
  • Common Options
  • Compile Options
  • Quantize Options
  • Link Options
  • Profile & Inference Options
  • Profile Options
  • ONNX Runtime Options
  • ONNX Runtime QNN Execution Provider options
  • ONNX Runtime DirectML Execution Provider options
  • TensorFlow Lite Options
  • TensorFlow Lite Delegate Options for Qualcomm® AI Engine Direct
  • TensorFlow Lite Delegate Options for GPUv2
  • TensorFlow Lite Delegate Options for NNAPI
  • Qualcomm® AI Engine Direct Options

Release Notes

• Release Notes
  • Released October 28
  • Released October 14
  • Released October 7
  • Released September 23
  • Released September 11
  • Released August 26
  • Released August 12
  • Released July 29
  • Released July 15
  • Released July 1
  • Released Jun 17
  • Released Jun 4
  • Released May 17
  • Released May 6
  • Released Apr 22
  • Released Apr 8
  • Released Mar 25
  • Released Mar 11
  • Released Feb 28