v0.48.0

See https://github.com/qualcomm/ai-hub-models/releases/v0.48.0 for changelog.

README.md

@@ -14,7 +14,7 @@ pipeline_tag: other
 
 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](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/statetransformer) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
+This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/statetransformer) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
 
 Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
 
@@ -27,22 +27,22 @@ Below are pre-exported model assets ready for deployment.
 
 | Runtime | Precision | Chipset | SDK Versions | Download |
 |---|---|---|---|---|
-| ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.47.0/statetransformer-onnx-float.zip)
-| TFLITE | float | Universal | TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.47.0/statetransformer-tflite-float.zip)
+| ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.48.0/statetransformer-onnx-float.zip)
+| TFLITE | float | Universal | TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.48.0/statetransformer-tflite-float.zip)
 
 For more device-specific assets and performance metrics, visit **[StateTransformer on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/statetransformer)**.
 
 
 ### Option 2: Export with Custom Configurations
 
-Use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/statetransformer) Python library to compile and export the model with your own:
+Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/statetransformer) 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](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/statetransformer) for usage instructions.
+See our repository for [StateTransformer on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/statetransformer) for usage instructions.
 
 ## Model Details
 
@@ -57,16 +57,15 @@ See our repository for [StateTransformer on GitHub](https://github.com/quic/ai-h
 ## Performance Summary
 | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
 |---|---|---|---|---|---|---
-| StateTransformer | ONNX | float | Snapdragon® X Elite | 1155.042 ms | 183 - 183 MB | NPU
-| StateTransformer | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 680.781 ms | 97 - 5301 MB | NPU
-| StateTransformer | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 591.948 ms | 89 - 2116 MB | NPU
-| StateTransformer | ONNX | float | Snapdragon® X2 Elite | 817.45 ms | 202 - 202 MB | NPU
-| StateTransformer | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 499.081 ms | 215 - 232 MB | CPU
-| StateTransformer | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 1006.082 ms | 224 - 239 MB | CPU
-| StateTransformer | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 619.001 ms | 216 - 315 MB | CPU
-| StateTransformer | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 717.641 ms | 217 - 235 MB | CPU
-| StateTransformer | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 401.824 ms | 214 - 224 MB | CPU
-| StateTransformer | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 348.775 ms | 226 - 246 MB | CPU
+| StateTransformer | ONNX | float | Snapdragon® X2 Elite | 825.712 ms | 205 - 205 MB | NPU
+| StateTransformer | ONNX | float | Snapdragon® X Elite | 1335.801 ms | 184 - 184 MB | NPU
+| StateTransformer | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 593.726 ms | 93 - 2120 MB | NPU
+| StateTransformer | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 519.387 ms | 222 - 240 MB | CPU
+| StateTransformer | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 1003.679 ms | 226 - 242 MB | CPU
+| StateTransformer | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 566.153 ms | 163 - 236 MB | CPU
+| StateTransformer | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 773.28 ms | 216 - 238 MB | CPU
+| StateTransformer | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 400.564 ms | 202 - 224 MB | CPU
+| StateTransformer | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 351.862 ms | 226 - 247 MB | CPU
 
 ## License
 * The license for the original implementation of StateTransformer can be found