StateTransformer / README.md
qaihm-bot's picture
v0.62.1
7d2c556 verified
|
Raw
History Blame Contribute Delete
4.95 kB
metadata
library_name: pytorch
license: mit
tags:
  - bu_auto
  - android
pipeline_tag: other

StateTransformer: Optimized for Qualcomm Devices

StateTransformer is a transformer-based model designed for trajectory prediction in self-driving scenarios. It integrates rasterized map data, agent context, and temporal dynamics to generate accurate future trajectories.

This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.

Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.

Getting Started

There are two ways to deploy this model on your device:

Option 1: Download Pre-Exported Models

Below are pre-exported model assets ready for deployment.

Runtime Precision Chipset SDK Versions Download
ONNX float Universal QAIRT 2.45, ONNX Runtime 1.27.1 Download
TFLITE float Universal Download

For more device-specific assets and performance metrics, visit StateTransformer on Qualcomm® AI Hub.

Option 2: Export with Custom Configurations

Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:

  • Custom weights (e.g., fine-tuned checkpoints)
  • Custom input shapes
  • Target device and runtime configurations

This option is ideal if you need to customize the model beyond the default configuration provided here.

See our repository for StateTransformer on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.driver_assistance

Model Stats:

  • Input resolution: 1x224x224x58, 1x224x224x58, 1x4x7
  • Model checkpoint: pretrained-mixtral-small
  • Model size (float): 348 MB
  • Number of parameters: 90.7M

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
StateTransformer ONNX float Snapdragon® 8 Gen 3 Mobile 291.136 ms 200 - 5703 MB NPU
StateTransformer ONNX float Qualcomm® Dragonwing™ IQ-8275 349.435 ms 100 - 142 MB NPU
StateTransformer ONNX float Qualcomm® Dragonwing™ QCS8550 (Proxy) 373.184 ms 196 - 200 MB NPU
StateTransformer ONNX float Qualcomm® Dragonwing™ IQ-9075 315.741 ms 106 - 147 MB NPU
StateTransformer ONNX float Qualcomm® Dragonwing™ Q-8750 236.364 ms 168 - 5681 MB NPU
StateTransformer ONNX float Snapdragon® 8 Elite Mobile 236.364 ms 168 - 5681 MB NPU
StateTransformer ONNX float Snapdragon® 8 Elite Gen 5 Mobile 212.445 ms 183 - 5749 MB NPU
StateTransformer TFLITE float Qualcomm® Dragonwing™ IQ-8275 1528.046 ms 294 - 816 MB CPU
StateTransformer TFLITE float Qualcomm® Dragonwing™ QCS8550 (Proxy) 1115.87 ms 241 - 394 MB CPU
StateTransformer TFLITE float Qualcomm® SA8650P 792.928 ms 452 - 465 MB CPU
StateTransformer TFLITE float Qualcomm® SA8255P 792.928 ms 452 - 465 MB CPU
StateTransformer TFLITE float Qualcomm® QCS8450 808.833 ms 450 - 470 MB CPU
StateTransformer TFLITE float Qualcomm® Dragonwing™ IQ-9075 1309.723 ms 293 - 815 MB CPU
StateTransformer TFLITE float Qualcomm® Dragonwing™ Q-8750 645.781 ms 267 - 4157 MB CPU
StateTransformer TFLITE float Snapdragon® 8 Elite Mobile 645.781 ms 267 - 4157 MB CPU

License

  • The license for the original implementation of StateTransformer can be found here.

Community