--- library_name: pytorch license: bsd-3-clause tags: - android pipeline_tag: image-classification --- ![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/shufflenet_v2/web-assets/model_demo.png) # Shufflenet-v2: Optimized for Qualcomm Devices ShufflenetV2 is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases. This is based on the implementation of Shufflenet-v2 found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/shufflenetv2.py). 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/v0.64.0/src/qai_hub_models/models/shufflenet_v2) 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. ## 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 2.50, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/shufflenet_v2/releases/v0.64.0/shufflenet_v2-onnx-float.zip) | ONNX | w8a16 | Universal | QAIRT 2.50, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/shufflenet_v2/releases/v0.64.0/shufflenet_v2-onnx-w8a16.zip) | ONNX | w8a8 | Universal | QAIRT 2.50, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/shufflenet_v2/releases/v0.64.0/shufflenet_v2-onnx-w8a8.zip) | QNN_DLC | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/shufflenet_v2/releases/v0.64.0/shufflenet_v2-qnn_dlc-float.zip) | QNN_DLC | w8a16 | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/shufflenet_v2/releases/v0.64.0/shufflenet_v2-qnn_dlc-w8a16.zip) | QNN_DLC | w8a8 | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/shufflenet_v2/releases/v0.64.0/shufflenet_v2-qnn_dlc-w8a8.zip) | TFLITE | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/shufflenet_v2/releases/v0.64.0/shufflenet_v2-tflite-float.zip) | TFLITE | w8a8 | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/shufflenet_v2/releases/v0.64.0/shufflenet_v2-tflite-w8a8.zip) For more device-specific assets and performance metrics, visit **[Shufflenet-v2 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/shufflenet_v2)**. ### Option 2: Export with Custom Configurations Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.64.0/src/qai_hub_models/models/shufflenet_v2) 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 [Shufflenet-v2 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.64.0/src/qai_hub_models/models/shufflenet_v2) for usage instructions. ## Model Details **Model Type:** Model_use_case.image_classification **Model Stats:** - Input resolution: 224x224 - Model checkpoint: Imagenet - Model size (float): 5.24 MB - Model size (w8a8): 1.47 MB - Number of parameters: 1.37M ## Performance Summary | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |---|---|---|---|---|---|--- | Shufflenet-v2 | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.407 ms | 0 - 31 MB | NPU | Shufflenet-v2 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.441 ms | 0 - 30 MB | NPU | Shufflenet-v2 | ONNX | float | Snapdragon® X2 Elite | 0.404 ms | 2 - 2 MB | NPU | Shufflenet-v2 | ONNX | float | Snapdragon® X Elite | 0.842 ms | 0 - 0 MB | NPU | Shufflenet-v2 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.529 ms | 0 - 44 MB | NPU | Shufflenet-v2 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 0.949 ms | 1 - 50 MB | NPU | Shufflenet-v2 | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 0.833 ms | 0 - 4 MB | NPU | Shufflenet-v2 | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.82 ms | 0 - 5 MB | NPU | Shufflenet-v2 | ONNX | float | Qualcomm® QCS8450 | 0.949 ms | 1 - 50 MB | NPU | Shufflenet-v2 | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 0.994 ms | 1 - 4 MB | NPU | Shufflenet-v2 | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 0.842 ms | 0 - 0 MB | NPU | Shufflenet-v2 | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.441 ms | 0 - 30 MB | NPU | Shufflenet-v2 | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.396 ms | 0 - 35 MB | NPU | Shufflenet-v2 | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.418 ms | 0 - 38 MB | NPU | Shufflenet-v2 | ONNX | w8a16 | Snapdragon® X2 Elite | 0.386 ms | 1 - 1 MB | NPU | Shufflenet-v2 | ONNX | w8a16 | Snapdragon® X Elite | 0.827 ms | 0 - 0 MB | NPU | Shufflenet-v2 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.527 ms | 0 - 45 MB | NPU | Shufflenet-v2 | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 0.88 ms | 0 - 51 MB | NPU | Shufflenet-v2 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 1.524 ms | 0 - 3 MB | NPU | Shufflenet-v2 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 0.783 ms | 0 - 4 MB | NPU | Shufflenet-v2 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.81 ms | 0 - 4 MB | NPU | Shufflenet-v2 | ONNX | w8a16 | Qualcomm® QCS8450 | 0.88 ms | 0 - 51 MB | NPU | Shufflenet-v2 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 0.923 ms | 0 - 3 MB | NPU | Shufflenet-v2 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 0.827 ms | 0 - 0 MB | NPU | Shufflenet-v2 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 1.99 ms | 0 - 34 MB | NPU | Shufflenet-v2 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 0.805 ms | 0 - 34 MB | NPU | Shufflenet-v2 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.418 ms | 0 - 38 MB | NPU | Shufflenet-v2 | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 0.805 ms | 0 - 34 MB | NPU | Shufflenet-v2 | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.335 ms | 0 - 35 MB | NPU | Shufflenet-v2 | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.353 ms | 0 - 33 MB | NPU | Shufflenet-v2 | ONNX | w8a8 | Snapdragon® X2 Elite | 0.331 ms | 1 - 1 MB | NPU | Shufflenet-v2 | ONNX | w8a8 | Snapdragon® X Elite | 0.58 ms | 0 - 0 MB | NPU | Shufflenet-v2 | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.408 ms | 0 - 43 MB | NPU | Shufflenet-v2 | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.617 ms | 0 - 48 MB | NPU | Shufflenet-v2 | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 1.057 ms | 0 - 3 MB | NPU | Shufflenet-v2 | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 0.611 ms | 0 - 4 MB | NPU | Shufflenet-v2 | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.575 ms | 0 - 3 MB | NPU | Shufflenet-v2 | ONNX | w8a8 | Qualcomm® QCS8450 | 0.617 ms | 0 - 48 MB | NPU | Shufflenet-v2 | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.693 ms | 0 - 3 MB | NPU | Shufflenet-v2 | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 0.58 ms | 0 - 0 MB | NPU | Shufflenet-v2 | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 1.157 ms | 0 - 34 MB | NPU | Shufflenet-v2 | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 0.467 ms | 0 - 33 MB | NPU | Shufflenet-v2 | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.353 ms | 0 - 33 MB | NPU | Shufflenet-v2 | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.467 ms | 0 - 33 MB | NPU | Shufflenet-v2 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.28 ms | 0 - 32 MB | NPU | Shufflenet-v2 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.373 ms | 1 - 30 MB | NPU | Shufflenet-v2 | QNN_DLC | float | Snapdragon® X2 Elite | 0.371 ms | 1 - 1 MB | NPU | Shufflenet-v2 | QNN_DLC | float | Snapdragon® X Elite | 0.902 ms | 1 - 1 MB | NPU | Shufflenet-v2 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.505 ms | 0 - 42 MB | NPU | Shufflenet-v2 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 1.307 ms | 0 - 43 MB | NPU | Shufflenet-v2 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 0.775 ms | 1 - 4 MB | NPU | Shufflenet-v2 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.775 ms | 1 - 2 MB | NPU | Shufflenet-v2 | QNN_DLC | float | Qualcomm® SA8775P | 1.009 ms | 1 - 32 MB | NPU | Shufflenet-v2 | QNN_DLC | float | Qualcomm® SA8650P | 1.009 ms | 1 - 32 MB | NPU | Shufflenet-v2 | QNN_DLC | float | Qualcomm® SA8255P | 1.009 ms | 1 - 32 MB | NPU | Shufflenet-v2 | QNN_DLC | float | Qualcomm® QCS8450 | 1.307 ms | 0 - 43 MB | NPU | Shufflenet-v2 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 0.897 ms | 3 - 5 MB | NPU | Shufflenet-v2 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 0.902 ms | 1 - 1 MB | NPU | Shufflenet-v2 | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.373 ms | 1 - 30 MB | NPU | Shufflenet-v2 | QNN_DLC | float | Qualcomm® SA8295P | 1.13 ms | 0 - 28 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.282 ms | 0 - 28 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.338 ms | 0 - 33 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.404 ms | 0 - 0 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a16 | Snapdragon® X Elite | 0.865 ms | 0 - 0 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.518 ms | 0 - 37 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 0.817 ms | 0 - 44 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 1.798 ms | 0 - 3 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 0.762 ms | 0 - 3 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.745 ms | 0 - 3 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a16 | Qualcomm® SA8650P | 0.922 ms | 0 - 26 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a16 | Qualcomm® SA8255P | 0.922 ms | 0 - 26 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 0.817 ms | 0 - 44 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 0.854 ms | 0 - 3 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 0.865 ms | 0 - 0 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 2.211 ms | 0 - 27 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 0.723 ms | 0 - 28 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.338 ms | 0 - 33 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a16 | Qualcomm® SA8295P | 1.004 ms | 0 - 26 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 0.723 ms | 0 - 28 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.213 ms | 0 - 28 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.263 ms | 0 - 27 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.306 ms | 0 - 0 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.593 ms | 0 - 0 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.34 ms | 0 - 37 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.52 ms | 0 - 40 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 1.16 ms | 0 - 2 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 0.51 ms | 0 - 3 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.469 ms | 0 - 2 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 0.52 ms | 0 - 40 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.548 ms | 0 - 2 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 0.593 ms | 0 - 0 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 1.335 ms | 0 - 27 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 0.462 ms | 0 - 27 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.263 ms | 0 - 27 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.726 ms | 0 - 27 MB | NPU | Shufflenet-v2 | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.462 ms | 0 - 27 MB | NPU | Shufflenet-v2 | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.294 ms | 0 - 31 MB | NPU | Shufflenet-v2 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.371 ms | 0 - 29 MB | NPU | Shufflenet-v2 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.508 ms | 0 - 42 MB | NPU | Shufflenet-v2 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 1.33 ms | 0 - 47 MB | NPU | Shufflenet-v2 | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 0.814 ms | 0 - 7 MB | NPU | Shufflenet-v2 | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.785 ms | 0 - 2 MB | NPU | Shufflenet-v2 | TFLITE | float | Qualcomm® SA8775P | 1.02 ms | 0 - 33 MB | NPU | Shufflenet-v2 | TFLITE | float | Qualcomm® SA8650P | 1.02 ms | 0 - 33 MB | NPU | Shufflenet-v2 | TFLITE | float | Qualcomm® SA8255P | 1.02 ms | 0 - 33 MB | NPU | Shufflenet-v2 | TFLITE | float | Qualcomm® QCS8450 | 1.33 ms | 0 - 47 MB | NPU | Shufflenet-v2 | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 0.911 ms | 0 - 6 MB | NPU | Shufflenet-v2 | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.371 ms | 0 - 29 MB | NPU | Shufflenet-v2 | TFLITE | float | Qualcomm® SA7255P | 1.778 ms | 0 - 30 MB | NPU | Shufflenet-v2 | TFLITE | float | Qualcomm® SA8295P | 1.115 ms | 0 - 27 MB | NPU | Shufflenet-v2 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.256 ms | 0 - 29 MB | NPU | Shufflenet-v2 | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.271 ms | 0 - 27 MB | NPU | Shufflenet-v2 | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.321 ms | 0 - 37 MB | NPU | Shufflenet-v2 | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.499 ms | 0 - 43 MB | NPU | Shufflenet-v2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 0.792 ms | 0 - 4 MB | NPU | Shufflenet-v2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 0.504 ms | 0 - 5 MB | NPU | Shufflenet-v2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.456 ms | 0 - 7 MB | NPU | Shufflenet-v2 | TFLITE | w8a8 | Qualcomm® SA8775P | 0.639 ms | 0 - 30 MB | NPU | Shufflenet-v2 | TFLITE | w8a8 | Qualcomm® SA8650P | 0.639 ms | 0 - 30 MB | NPU | Shufflenet-v2 | TFLITE | w8a8 | Qualcomm® SA8255P | 0.639 ms | 0 - 30 MB | NPU | Shufflenet-v2 | TFLITE | w8a8 | Qualcomm® QCS8450 | 0.499 ms | 0 - 43 MB | NPU | Shufflenet-v2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.556 ms | 0 - 4 MB | NPU | Shufflenet-v2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 1.081 ms | 0 - 27 MB | NPU | Shufflenet-v2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 0.449 ms | 0 - 27 MB | NPU | Shufflenet-v2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.271 ms | 0 - 27 MB | NPU | Shufflenet-v2 | TFLITE | w8a8 | Qualcomm® SA7255P | 1.056 ms | 0 - 29 MB | NPU | Shufflenet-v2 | TFLITE | w8a8 | Qualcomm® SA8295P | 0.684 ms | 0 - 26 MB | NPU | Shufflenet-v2 | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.449 ms | 0 - 27 MB | NPU ## License * The license for the original implementation of Shufflenet-v2 can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE). ## References * [ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design](https://arxiv.org/abs/1807.11164) * [Source Model Implementation](https://github.com/pytorch/vision/blob/main/torchvision/models/shufflenetv2.py) ## Community * Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI. * For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).