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 1.25.0 | 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:
- Model checkpoint: pretrained-mixtral-small
- Input resolution: 1x224x224x58, 1x224x224x58, 1x4x7
- Number of parameters: 90.7M
- Model size (float): 348 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| StateTransformer | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 936.793 ms | 43 - 3945 MB | NPU |
| StateTransformer | ONNX | float | Snapdragon® 8 Elite Mobile | 779.452 ms | 86 - 2997 MB | NPU |
| StateTransformer | ONNX | float | Qualcomm® QCS8750 | 779.452 ms | 86 - 2997 MB | NPU |
| StateTransformer | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 466.663 ms | 211 - 224 MB | CPU |
| StateTransformer | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 683.234 ms | 355 - 375 MB | CPU |
| StateTransformer | TFLITE | float | Qualcomm® QCS8275 | 925.56 ms | 456 - 468 MB | CPU |
| StateTransformer | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 580.352 ms | 413 - 533 MB | CPU |
| StateTransformer | TFLITE | float | Qualcomm® SA8775P | 729.826 ms | 462 - 474 MB | CPU |
| StateTransformer | TFLITE | float | Qualcomm® SA8650P | 729.826 ms | 462 - 474 MB | CPU |
| StateTransformer | TFLITE | float | Qualcomm® SA8255P | 729.826 ms | 462 - 474 MB | CPU |
| StateTransformer | TFLITE | float | Qualcomm® QCS8450 | 683.234 ms | 355 - 375 MB | CPU |
| StateTransformer | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 252.238 ms | 242 - 258 MB | CPU |
| StateTransformer | TFLITE | float | Qualcomm® SA7255P | 925.56 ms | 456 - 468 MB | CPU |
| StateTransformer | TFLITE | float | Snapdragon® 8 Elite Mobile | 372.611 ms | 222 - 236 MB | CPU |
| StateTransformer | TFLITE | float | Qualcomm® QCS9075 | 771.389 ms | 239 - 659 MB | CPU |
| StateTransformer | TFLITE | float | Qualcomm® SA8295P | 606.084 ms | 409 - 418 MB | CPU |
| StateTransformer | TFLITE | float | Qualcomm® QCS8750 | 372.611 ms | 222 - 236 MB | CPU |
License
- The license for the original implementation of StateTransformer can be found here.
Community
- Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
- For questions or feedback please reach out to us.