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@@ -34,39 +34,39 @@ More details on model performance across various devices, can be found
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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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  |---|---|---|---|---|---|---|---|---|
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- | QuickSRNetSmall | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 2.074 ms | 2 - 6 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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- | QuickSRNetSmall | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 0.995 ms | 0 - 3 MB | FP16 | NPU | [QuickSRNetSmall.so](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.so) |
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- | QuickSRNetSmall | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 1.383 ms | 0 - 9 MB | FP16 | NPU | [QuickSRNetSmall.onnx](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.onnx) |
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- | QuickSRNetSmall | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.832 ms | 0 - 24 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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- | QuickSRNetSmall | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.633 ms | 0 - 19 MB | FP16 | NPU | [QuickSRNetSmall.so](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.so) |
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- | QuickSRNetSmall | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 0.933 ms | 0 - 22 MB | FP16 | NPU | [QuickSRNetSmall.onnx](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.onnx) |
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- | QuickSRNetSmall | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 1.609 ms | 0 - 15 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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- | QuickSRNetSmall | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.717 ms | 0 - 16 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetSmall | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.978 ms | 0 - 16 MB | FP16 | NPU | [QuickSRNetSmall.onnx](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.onnx) |
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- | QuickSRNetSmall | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 1.277 ms | 0 - 5 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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- | QuickSRNetSmall | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.849 ms | 0 - 3 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetSmall | SA7255P ADP | SA7255P | TFLITE | 9.806 ms | 6 - 15 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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- | QuickSRNetSmall | SA7255P ADP | SA7255P | QNN | 8.726 ms | 0 - 9 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetSmall | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 1.346 ms | 0 - 5 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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- | QuickSRNetSmall | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.847 ms | 0 - 3 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetSmall | SA8295P ADP | SA8295P | TFLITE | 2.521 ms | 0 - 15 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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- | QuickSRNetSmall | SA8295P ADP | SA8295P | QNN | 2.23 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetSmall | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 1.409 ms | 0 - 4 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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- | QuickSRNetSmall | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.865 ms | 0 - 2 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetSmall | SA8775P ADP | SA8775P | TFLITE | 2.476 ms | 0 - 10 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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- | QuickSRNetSmall | SA8775P ADP | SA8775P | QNN | 1.661 ms | 0 - 10 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetSmall | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 3.159 ms | 6 - 21 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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- | QuickSRNetSmall | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.136 ms | 0 - 20 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetSmall | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.932 ms | 0 - 0 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetSmall | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 1.455 ms | 8 - 8 MB | FP16 | NPU | [QuickSRNetSmall.onnx](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.onnx) |
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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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  ```
@@ -122,8 +122,8 @@ Profiling Results
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  QuickSRNetSmall
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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- Estimated inference time (ms) : 2.1
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- Estimated peak memory usage (MB): [2, 6]
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  Total # Ops : 11
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  Compute Unit(s) : NPU (8 ops) CPU (3 ops)
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  ```
@@ -150,7 +150,7 @@ from qai_hub_models.models.quicksrnetsmall import Model
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  torch_model = Model.from_pretrained()
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  # Device
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- device = hub.Device("Samsung Galaxy S23")
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  # Trace model
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  input_shape = torch_model.get_input_spec()
@@ -242,7 +242,8 @@ Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
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  ## License
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- * The license for the original implementation of QuickSRNetSmall can be found [here](https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.pdf).
 
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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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  |---|---|---|---|---|---|---|---|---|
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+ | QuickSRNetSmall | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 1.373 ms | 0 - 4 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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+ | QuickSRNetSmall | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 1.006 ms | 0 - 8 MB | FP16 | NPU | [QuickSRNetSmall.so](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.so) |
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+ | QuickSRNetSmall | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 1.454 ms | 0 - 3 MB | FP16 | NPU | [QuickSRNetSmall.onnx](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.onnx) |
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+ | QuickSRNetSmall | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.821 ms | 0 - 22 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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+ | QuickSRNetSmall | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.629 ms | 0 - 23 MB | FP16 | NPU | [QuickSRNetSmall.so](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.so) |
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+ | QuickSRNetSmall | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 0.94 ms | 0 - 24 MB | FP16 | NPU | [QuickSRNetSmall.onnx](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.onnx) |
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+ | QuickSRNetSmall | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 1.079 ms | 0 - 15 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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+ | QuickSRNetSmall | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.634 ms | 0 - 15 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetSmall | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.8 ms | 0 - 15 MB | FP16 | NPU | [QuickSRNetSmall.onnx](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.onnx) |
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+ | QuickSRNetSmall | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 1.345 ms | 0 - 5 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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+ | QuickSRNetSmall | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.881 ms | 0 - 3 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetSmall | SA7255P ADP | SA7255P | TFLITE | 11.233 ms | 6 - 15 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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+ | QuickSRNetSmall | SA7255P ADP | SA7255P | QNN | 8.637 ms | 0 - 10 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetSmall | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 2.411 ms | 6 - 10 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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+ | QuickSRNetSmall | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.87 ms | 0 - 3 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetSmall | SA8295P ADP | SA8295P | TFLITE | 2.44 ms | 0 - 15 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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+ | QuickSRNetSmall | SA8295P ADP | SA8295P | QNN | 2.26 ms | 0 - 15 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetSmall | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 1.4 ms | 0 - 4 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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+ | QuickSRNetSmall | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.864 ms | 0 - 3 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetSmall | SA8775P ADP | SA8775P | TFLITE | 2.464 ms | 0 - 10 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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+ | QuickSRNetSmall | SA8775P ADP | SA8775P | QNN | 1.657 ms | 0 - 11 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetSmall | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 3.099 ms | 6 - 26 MB | FP16 | NPU | [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) |
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+ | QuickSRNetSmall | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.235 ms | 0 - 21 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetSmall | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.941 ms | 0 - 0 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetSmall | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 1.423 ms | 8 - 8 MB | FP16 | NPU | [QuickSRNetSmall.onnx](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.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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  QuickSRNetSmall
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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+ Estimated inference time (ms) : 1.4
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+ Estimated peak memory usage (MB): [0, 4]
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  Total # Ops : 11
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  Compute Unit(s) : NPU (8 ops) CPU (3 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 QuickSRNetSmall can be found
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+ [here](https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.pdf).
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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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