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DDRNet23-Slim

Image Segmentation
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android
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@@ -37,19 +37,20 @@ 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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- | DDRNet23-Slim | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 5.131 ms | 2 - 4 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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- | DDRNet23-Slim | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 7.388 ms | 9 - 14 MB | FP16 | NPU | [DDRNet23-Slim.onnx](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.onnx) |
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- | DDRNet23-Slim | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 3.489 ms | 1 - 77 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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- | DDRNet23-Slim | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 4.952 ms | 11 - 101 MB | FP16 | NPU | [DDRNet23-Slim.onnx](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.onnx) |
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- | DDRNet23-Slim | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 3.453 ms | 0 - 39 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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- | DDRNet23-Slim | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 4.99 ms | 11 - 55 MB | FP16 | NPU | [DDRNet23-Slim.onnx](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.onnx) |
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- | DDRNet23-Slim | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 5.068 ms | 0 - 2 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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- | DDRNet23-Slim | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 5.131 ms | 1 - 2 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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- | DDRNet23-Slim | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 5.185 ms | 0 - 2 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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- | DDRNet23-Slim | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 5.131 ms | 0 - 3 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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- | DDRNet23-Slim | SA8295P ADP | SA8295P | TFLITE | 8.857 ms | 1 - 31 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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- | DDRNet23-Slim | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 7.549 ms | 2 - 65 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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- | DDRNet23-Slim | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 8.362 ms | 9 - 9 MB | FP16 | NPU | [DDRNet23-Slim.onnx](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.onnx) |
 
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@@ -114,7 +115,7 @@ DDRNet23-Slim
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 5.1
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- Estimated peak memory usage (MB): [2, 4]
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  Total # Ops : 131
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  Compute Unit(s) : NPU (131 ops)
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  ```
@@ -135,13 +136,29 @@ in memory using the `jit.trace` and then call the `submit_compile_job` API.
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  import torch
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  import qai_hub as hub
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- from qai_hub_models.models.ddrnet23_slim 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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  |---|---|---|---|---|---|---|---|---|
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+ | DDRNet23-Slim | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 5.087 ms | 1 - 20 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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+ | DDRNet23-Slim | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 7.462 ms | 9 - 25 MB | FP16 | NPU | [DDRNet23-Slim.onnx](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.onnx) |
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+ | DDRNet23-Slim | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 3.548 ms | 0 - 31 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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+ | DDRNet23-Slim | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 4.952 ms | 11 - 103 MB | FP16 | NPU | [DDRNet23-Slim.onnx](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.onnx) |
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+ | DDRNet23-Slim | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 2.854 ms | 0 - 28 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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+ | DDRNet23-Slim | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 4.11 ms | 11 - 58 MB | FP16 | NPU | [DDRNet23-Slim.onnx](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.onnx) |
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+ | DDRNet23-Slim | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 5.226 ms | 1 - 17 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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+ | DDRNet23-Slim | SA7255P ADP | SA7255P | TFLITE | 180.307 ms | 1 - 27 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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+ | DDRNet23-Slim | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 5.107 ms | 1 - 19 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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+ | DDRNet23-Slim | SA8295P ADP | SA8295P | TFLITE | 8.933 ms | 1 - 22 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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+ | DDRNet23-Slim | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 5.12 ms | 1 - 20 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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+ | DDRNet23-Slim | SA8775P ADP | SA8775P | TFLITE | 10.093 ms | 1 - 27 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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+ | DDRNet23-Slim | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 7.54 ms | 1 - 26 MB | FP16 | NPU | [DDRNet23-Slim.tflite](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.tflite) |
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+ | DDRNet23-Slim | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 8.348 ms | 9 - 9 MB | FP16 | NPU | [DDRNet23-Slim.onnx](https://huggingface.co/qualcomm/DDRNet23-Slim/blob/main/DDRNet23-Slim.onnx) |
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 5.1
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+ Estimated peak memory usage (MB): [1, 20]
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  Total # Ops : 131
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  Compute Unit(s) : NPU (131 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.ddrnet23_slim 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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+
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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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+
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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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+
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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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