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README.md
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| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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| AOT-GAN | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 150.
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| AOT-GAN | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 153.
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| AOT-GAN | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 105.
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| AOT-GAN | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE |
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| AOT-GAN | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN |
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| AOT-GAN | Samsung Galaxy S24 | Snapdragon
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| AOT-GAN | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 118.
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| AOT-GAN | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN |
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| AOT-GAN | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX |
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| AOT-GAN | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 150.
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| AOT-GAN | QCS8550 (Proxy) | QCS8550 Proxy | QNN |
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| AOT-GAN | SA7255P ADP | SA7255P | TFLITE | 3625.
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| AOT-GAN | SA7255P ADP | SA7255P | QNN | 3580.
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| AOT-GAN | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 150.
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| AOT-GAN | SA8255 (Proxy) | SA8255P Proxy | QNN | 102.
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| AOT-GAN | SA8295P ADP | SA8295P | TFLITE | 218.
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| AOT-GAN | SA8295P ADP | SA8295P | QNN | 164.
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| AOT-GAN | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 150.
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| AOT-GAN | SA8650 (Proxy) | SA8650P Proxy | QNN |
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| AOT-GAN | SA8775P ADP | SA8775P | TFLITE | 241.
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| AOT-GAN | SA8775P ADP | SA8775P | QNN | 181.
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| AOT-GAN | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE |
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| AOT-GAN | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 194.
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| AOT-GAN | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN |
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| AOT-GAN | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 102.
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## Installation
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This model can be installed as a Python package via pip.
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```bash
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pip install qai-hub-models
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```
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AOT-GAN
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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) : 150.
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Estimated peak memory usage (MB): [3,
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Total # Ops : 235
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Compute Unit(s) : NPU (235 ops)
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```
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torch_model = Model.from_pretrained()
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# Device
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device = hub.Device("Samsung Galaxy
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# Trace model
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input_shape = torch_model.get_input_spec()
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## License
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* The license for the original implementation of AOT-GAN can be found
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* The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)
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| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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| AOT-GAN | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 150.216 ms | 3 - 38 MB | FP16 | NPU | [AOT-GAN.tflite](https://huggingface.co/qualcomm/AOT-GAN/blob/main/AOT-GAN.tflite) |
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| AOT-GAN | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 153.714 ms | 1 - 32 MB | FP16 | NPU | [AOT-GAN.so](https://huggingface.co/qualcomm/AOT-GAN/blob/main/AOT-GAN.so) |
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| AOT-GAN | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 105.712 ms | 6 - 113 MB | FP16 | NPU | [AOT-GAN.onnx](https://huggingface.co/qualcomm/AOT-GAN/blob/main/AOT-GAN.onnx) |
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| AOT-GAN | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 112.126 ms | 2 - 60 MB | FP16 | NPU | [AOT-GAN.tflite](https://huggingface.co/qualcomm/AOT-GAN/blob/main/AOT-GAN.tflite) |
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| AOT-GAN | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 112.4 ms | 4 - 62 MB | FP16 | NPU | [AOT-GAN.so](https://huggingface.co/qualcomm/AOT-GAN/blob/main/AOT-GAN.so) |
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| AOT-GAN | Samsung Galaxy S24 | Snapdragon�� 8 Gen 3 | ONNX | 79.635 ms | 12 - 113 MB | FP16 | NPU | [AOT-GAN.onnx](https://huggingface.co/qualcomm/AOT-GAN/blob/main/AOT-GAN.onnx) |
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| AOT-GAN | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 118.224 ms | 2 - 65 MB | FP16 | NPU | [AOT-GAN.tflite](https://huggingface.co/qualcomm/AOT-GAN/blob/main/AOT-GAN.tflite) |
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| AOT-GAN | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 98.639 ms | 3 - 66 MB | FP16 | NPU | Use Export Script |
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| AOT-GAN | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 76.142 ms | 11 - 114 MB | FP16 | NPU | [AOT-GAN.onnx](https://huggingface.co/qualcomm/AOT-GAN/blob/main/AOT-GAN.onnx) |
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| AOT-GAN | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 150.247 ms | 3 - 41 MB | FP16 | NPU | [AOT-GAN.tflite](https://huggingface.co/qualcomm/AOT-GAN/blob/main/AOT-GAN.tflite) |
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| AOT-GAN | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 102.477 ms | 4 - 7 MB | FP16 | NPU | Use Export Script |
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| AOT-GAN | SA7255P ADP | SA7255P | TFLITE | 3625.101 ms | 0 - 61 MB | FP16 | NPU | [AOT-GAN.tflite](https://huggingface.co/qualcomm/AOT-GAN/blob/main/AOT-GAN.tflite) |
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| AOT-GAN | SA7255P ADP | SA7255P | QNN | 3580.217 ms | 2 - 11 MB | FP16 | NPU | Use Export Script |
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| AOT-GAN | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 150.364 ms | 3 - 36 MB | FP16 | NPU | [AOT-GAN.tflite](https://huggingface.co/qualcomm/AOT-GAN/blob/main/AOT-GAN.tflite) |
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| AOT-GAN | SA8255 (Proxy) | SA8255P Proxy | QNN | 102.639 ms | 4 - 7 MB | FP16 | NPU | Use Export Script |
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| AOT-GAN | SA8295P ADP | SA8295P | TFLITE | 218.903 ms | 3 - 52 MB | FP16 | NPU | [AOT-GAN.tflite](https://huggingface.co/qualcomm/AOT-GAN/blob/main/AOT-GAN.tflite) |
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| AOT-GAN | SA8295P ADP | SA8295P | QNN | 164.565 ms | 1 - 16 MB | FP16 | NPU | Use Export Script |
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| AOT-GAN | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 150.746 ms | 3 - 42 MB | FP16 | NPU | [AOT-GAN.tflite](https://huggingface.co/qualcomm/AOT-GAN/blob/main/AOT-GAN.tflite) |
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| AOT-GAN | SA8650 (Proxy) | SA8650P Proxy | QNN | 104.201 ms | 5 - 7 MB | FP16 | NPU | Use Export Script |
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| AOT-GAN | SA8775P ADP | SA8775P | TFLITE | 241.948 ms | 3 - 64 MB | FP16 | NPU | [AOT-GAN.tflite](https://huggingface.co/qualcomm/AOT-GAN/blob/main/AOT-GAN.tflite) |
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| AOT-GAN | SA8775P ADP | SA8775P | QNN | 181.669 ms | 2 - 12 MB | FP16 | NPU | Use Export Script |
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| AOT-GAN | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 195.56 ms | 3 - 53 MB | FP16 | NPU | [AOT-GAN.tflite](https://huggingface.co/qualcomm/AOT-GAN/blob/main/AOT-GAN.tflite) |
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| AOT-GAN | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 194.959 ms | 4 - 50 MB | FP16 | NPU | Use Export Script |
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| AOT-GAN | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 105.122 ms | 4 - 4 MB | FP16 | NPU | Use Export Script |
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| AOT-GAN | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 102.363 ms | 30 - 30 MB | FP16 | NPU | [AOT-GAN.onnx](https://huggingface.co/qualcomm/AOT-GAN/blob/main/AOT-GAN.onnx) |
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## Installation
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Install the package via pip:
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```bash
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pip install qai-hub-models
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```
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AOT-GAN
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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) : 150.2
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Estimated peak memory usage (MB): [3, 38]
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Total # Ops : 235
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Compute Unit(s) : NPU (235 ops)
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```
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torch_model = Model.from_pretrained()
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# Device
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device = hub.Device("Samsung Galaxy S24")
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# Trace model
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input_shape = torch_model.get_input_spec()
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## License
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* The license for the original implementation of AOT-GAN can be found
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[here](https://github.com/taki0112/AttnGAN-Tensorflow/blob/master/LICENSE).
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* The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)
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