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README.md
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@@ -35,29 +35,28 @@ 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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| Swin-Small | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE |
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| Swin-Small | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN |
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| Swin-Small | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX |
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| Swin-Small | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE |
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| Swin-Small | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN |
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| Swin-Small | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX |
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| Swin-Small | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE |
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| Swin-Small | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN |
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| Swin-Small |
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| Swin-Small | QCS8550 (Proxy) | QCS8550 Proxy |
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| Swin-Small |
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| Swin-Small |
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| Swin-Small | SA8255 (Proxy) | SA8255P Proxy |
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| Swin-Small |
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| Swin-Small |
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| Swin-Small |
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| Swin-Small | SA8650 (Proxy) | SA8650P Proxy |
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| Swin-Small |
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| Swin-Small |
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| Swin-Small | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 24.
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| Swin-Small | QCS8450 (Proxy) | QCS8450 Proxy | QNN |
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| Swin-Small | Snapdragon X Elite CRD | Snapdragon® X Elite |
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| Swin-Small | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 37.962 ms | 118 - 118 MB | FP16 | NPU | [Swin-Small.onnx](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.onnx) |
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@@ -121,8 +120,8 @@ Profiling Results
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Swin-Small
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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) :
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Estimated peak memory usage (MB): [0,
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Total # Ops : 1563
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Compute Unit(s) : NPU (1563 ops)
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```
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import torch
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import qai_hub as hub
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from qai_hub_models.models.swin_small import
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# Load the model
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# Device
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device = hub.Device("Samsung Galaxy S23")
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```
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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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| Swin-Small | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 19.274 ms | 0 - 39 MB | FP16 | NPU | [Swin-Small.tflite](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.tflite) |
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| Swin-Small | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 19.387 ms | 0 - 39 MB | FP16 | NPU | [Swin-Small.so](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.so) |
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| Swin-Small | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 31.28 ms | 0 - 114 MB | FP16 | NPU | [Swin-Small.onnx](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.onnx) |
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| Swin-Small | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 13.075 ms | 0 - 160 MB | FP16 | NPU | [Swin-Small.tflite](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.tflite) |
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| Swin-Small | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 12.854 ms | 0 - 160 MB | FP16 | NPU | [Swin-Small.so](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.so) |
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| Swin-Small | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 21.0 ms | 1 - 750 MB | FP16 | NPU | [Swin-Small.onnx](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.onnx) |
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| Swin-Small | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 10.193 ms | 0 - 162 MB | FP16 | NPU | [Swin-Small.tflite](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.tflite) |
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| Swin-Small | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 11.813 ms | 0 - 168 MB | FP16 | NPU | Use Export Script |
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| Swin-Small | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 19.323 ms | 0 - 40 MB | FP16 | NPU | [Swin-Small.tflite](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.tflite) |
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| Swin-Small | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 17.41 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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| Swin-Small | SA7255P ADP | SA7255P | TFLITE | 181.559 ms | 0 - 165 MB | FP16 | NPU | [Swin-Small.tflite](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.tflite) |
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| Swin-Small | SA7255P ADP | SA7255P | QNN | 177.676 ms | 1 - 8 MB | FP16 | NPU | Use Export Script |
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| Swin-Small | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 19.365 ms | 0 - 39 MB | FP16 | NPU | [Swin-Small.tflite](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.tflite) |
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| Swin-Small | SA8255 (Proxy) | SA8255P Proxy | QNN | 17.659 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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| Swin-Small | SA8295P ADP | SA8295P | TFLITE | 27.412 ms | 0 - 154 MB | FP16 | NPU | [Swin-Small.tflite](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.tflite) |
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| Swin-Small | SA8295P ADP | SA8295P | QNN | 25.482 ms | 1 - 6 MB | FP16 | NPU | Use Export Script |
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| Swin-Small | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 19.368 ms | 0 - 38 MB | FP16 | NPU | [Swin-Small.tflite](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.tflite) |
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| Swin-Small | SA8650 (Proxy) | SA8650P Proxy | QNN | 17.645 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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| Swin-Small | SA8775P ADP | SA8775P | TFLITE | 26.082 ms | 0 - 165 MB | FP16 | NPU | [Swin-Small.tflite](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.tflite) |
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| Swin-Small | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 24.588 ms | 0 - 155 MB | FP16 | NPU | [Swin-Small.tflite](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.tflite) |
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| Swin-Small | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 24.434 ms | 1 - 157 MB | FP16 | NPU | Use Export Script |
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| Swin-Small | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 37.922 ms | 100 - 100 MB | FP16 | NPU | [Swin-Small.onnx](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.onnx) |
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Swin-Small
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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) : 19.3
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Estimated peak memory usage (MB): [0, 39]
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Total # Ops : 1563
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Compute Unit(s) : NPU (1563 ops)
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```
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import torch
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import qai_hub as hub
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from qai_hub_models.models.swin_small import Model
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# Load the 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()
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sample_inputs = torch_model.sample_inputs()
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pt_model = torch.jit.trace(torch_model, [torch.tensor(data[0]) for _, data in sample_inputs.items()])
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# Compile model on a specific device
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compile_job = hub.submit_compile_job(
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model=pt_model,
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device=device,
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input_specs=torch_model.get_input_spec(),
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)
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# Get target model to run on-device
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target_model = compile_job.get_target_model()
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```
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