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v0.63.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.63.0 for changelog.

Files changed (2) hide show
  1. README.md +24 -19
  2. release_assets.json +4 -4
README.md CHANGED
@@ -14,7 +14,7 @@ pipeline_tag: other
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  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.
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- 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/v0.62.2/src/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).
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  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.
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@@ -27,22 +27,22 @@ Below are pre-exported model assets ready for deployment.
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  | Runtime | Precision | Chipset | SDK Versions | Download |
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  |---|---|---|---|---|
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- | ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.62.2/statetransformer-onnx-float.zip)
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- | TFLITE | float | Universal | | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.62.2/statetransformer-tflite-float.zip)
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  For more device-specific assets and performance metrics, visit **[StateTransformer on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/statetransformer)**.
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  ### Option 2: Export with Custom Configurations
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- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.62.2/src/qai_hub_models/models/statetransformer) Python library to compile and export the model with your own:
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  - Custom weights (e.g., fine-tuned checkpoints)
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  - Custom input shapes
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  - Target device and runtime configurations
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  This option is ideal if you need to customize the model beyond the default configuration provided here.
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- See our repository for [StateTransformer on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.62.2/src/qai_hub_models/models/statetransformer) for usage instructions.
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  ## Model Details
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@@ -57,21 +57,26 @@ See our repository for [StateTransformer on GitHub](https://github.com/qualcomm/
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  ## Performance Summary
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  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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  |---|---|---|---|---|---|---
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- | StateTransformer | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 291.136 ms | 200 - 5703 MB | NPU
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- | StateTransformer | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 349.435 ms | 100 - 142 MB | NPU
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- | StateTransformer | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 373.184 ms | 196 - 200 MB | NPU
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- | StateTransformer | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 315.741 ms | 106 - 147 MB | NPU
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- | StateTransformer | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 236.364 ms | 168 - 5681 MB | NPU
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- | StateTransformer | ONNX | float | Snapdragon® 8 Elite Mobile | 236.364 ms | 168 - 5681 MB | NPU
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- | StateTransformer | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 212.445 ms | 183 - 5749 MB | NPU
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- | StateTransformer | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 1528.046 ms | 294 - 816 MB | CPU
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- | StateTransformer | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1115.87 ms | 241 - 394 MB | CPU
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- | StateTransformer | TFLITE | float | Qualcomm® SA8650P | 792.928 ms | 452 - 465 MB | CPU
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- | StateTransformer | TFLITE | float | Qualcomm® SA8255P | 792.928 ms | 452 - 465 MB | CPU
 
 
 
 
 
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  | StateTransformer | TFLITE | float | Qualcomm® QCS8450 | 808.833 ms | 450 - 470 MB | CPU
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- | StateTransformer | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 1309.723 ms | 293 - 815 MB | CPU
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- | StateTransformer | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 645.781 ms | 267 - 4157 MB | CPU
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- | StateTransformer | TFLITE | float | Snapdragon® 8 Elite Mobile | 645.781 ms | 267 - 4157 MB | CPU
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  ## License
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  * The license for the original implementation of StateTransformer can be found
 
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  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.
16
 
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+ 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/v0.63.0/src/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).
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  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.
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  | Runtime | Precision | Chipset | SDK Versions | Download |
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  |---|---|---|---|---|
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+ | ONNX | float | Universal | QAIRT 2.50, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.63.0/statetransformer-onnx-float.zip)
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+ | TFLITE | float | Universal | | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.63.0/statetransformer-tflite-float.zip)
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  For more device-specific assets and performance metrics, visit **[StateTransformer on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/statetransformer)**.
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  ### Option 2: Export with Custom Configurations
37
 
38
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/statetransformer) Python library to compile and export the model with your own:
39
  - Custom weights (e.g., fine-tuned checkpoints)
40
  - Custom input shapes
41
  - Target device and runtime configurations
42
 
43
  This option is ideal if you need to customize the model beyond the default configuration provided here.
44
 
45
+ See our repository for [StateTransformer on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/statetransformer) for usage instructions.
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  ## Model Details
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  ## Performance Summary
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  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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  |---|---|---|---|---|---|---
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+ | StateTransformer | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 192.571 ms | 173 - 4349 MB | NPU
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+ | StateTransformer | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 210.813 ms | 177 - 4275 MB | NPU
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+ | StateTransformer | ONNX | float | Snapdragon® X2 Elite | 177.638 ms | 279 - 279 MB | NPU
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+ | StateTransformer | ONNX | float | Snapdragon® X Elite | 434.924 ms | 279 - 279 MB | NPU
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+ | StateTransformer | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 253.642 ms | 188 - 4421 MB | NPU
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+ | StateTransformer | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 323.989 ms | 100 - 142 MB | NPU
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+ | StateTransformer | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 279.812 ms | 105 - 146 MB | NPU
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+ | StateTransformer | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 434.924 ms | 279 - 279 MB | NPU
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+ | StateTransformer | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 210.813 ms | 177 - 4275 MB | NPU
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+ | StateTransformer | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 661.397 ms | 292 - 3228 MB | CPU
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+ | StateTransformer | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 898.831 ms | 292 - 4365 MB | CPU
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+ | StateTransformer | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 1520.712 ms | 294 - 813 MB | CPU
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+ | StateTransformer | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1114.129 ms | 138 - 401 MB | CPU
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+ | StateTransformer | TFLITE | float | Qualcomm® SA8775P | 1270.002 ms | 294 - 4058 MB | CPU
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+ | StateTransformer | TFLITE | float | Qualcomm® SA8650P | 1270.002 ms | 294 - 4058 MB | CPU
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+ | StateTransformer | TFLITE | float | Qualcomm® SA8255P | 1270.002 ms | 294 - 4058 MB | CPU
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  | StateTransformer | TFLITE | float | Qualcomm® QCS8450 | 808.833 ms | 450 - 470 MB | CPU
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+ | StateTransformer | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 1311.722 ms | 294 - 813 MB | CPU
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+ | StateTransformer | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 661.397 ms | 292 - 3228 MB | CPU
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+ | StateTransformer | TFLITE | float | Qualcomm® SA8295P | 954.001 ms | 290 - 3938 MB | CPU
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  ## License
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  * The license for the original implementation of StateTransformer can be found
release_assets.json CHANGED
@@ -1,18 +1,18 @@
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  {
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- "version": "0.62.2",
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  "precisions": {
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  "float": {
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  "universal_assets": {
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  "onnx": {
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  "tool_versions": {
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- "qairt": "2.45.0.260326154327",
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  "onnx_runtime": "1.27.1"
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  },
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.62.2/statetransformer-onnx-float.zip"
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  },
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  "tflite": {
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  "tool_versions": {},
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.62.2/statetransformer-tflite-float.zip"
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  }
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  }
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  }
 
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  {
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+ "version": "0.63.0",
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  "precisions": {
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  "float": {
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  "universal_assets": {
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  "onnx": {
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  "tool_versions": {
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+ "qairt": "2.50.0.260828221209",
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  "onnx_runtime": "1.27.1"
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  },
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.63.0/statetransformer-onnx-float.zip"
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  },
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  "tflite": {
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  "tool_versions": {},
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/statetransformer/releases/v0.63.0/statetransformer-tflite-float.zip"
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  }
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  }
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  }