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QNN: DeepLabV3-ResNet101 a16w8; list the ResNet QNN files in the README

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Files changed (7) hide show
  1. README.md +10 -0
  2. qnn/config.json +160 -0
  3. qnn/deeplab_v3_resnet101_qnn_a16w8_v69.pte +3 -0
  4. qnn/deeplab_v3_resnet101_qnn_a16w8_v73.pte +3 -0
  5. qnn/deeplab_v3_resnet101_qnn_a16w8_v75.pte +3 -0
  6. qnn/deeplab_v3_resnet101_qnn_a16w8_v79.pte +3 -0
  7. qnn/deeplab_v3_resnet101_qnn_a16w8_v81.pte +3 -0
README.md CHANGED
@@ -30,6 +30,16 @@ Upstream model: [DeepLabV3](https://docs.pytorch.org/vision/main/models/deeplabv
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  | `qnn/deeplab_v3_mobilenet_v3_large_qnn_a16w8_v75.pte` | qnn | a16w8 |
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  | `qnn/deeplab_v3_mobilenet_v3_large_qnn_a16w8_v79.pte` | qnn | a16w8 |
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  | `qnn/deeplab_v3_mobilenet_v3_large_qnn_a16w8_v81.pte` | qnn | a16w8 |
 
 
 
 
 
 
 
 
 
 
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  ## QNN variants
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  | `qnn/deeplab_v3_mobilenet_v3_large_qnn_a16w8_v75.pte` | qnn | a16w8 |
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  | `qnn/deeplab_v3_mobilenet_v3_large_qnn_a16w8_v79.pte` | qnn | a16w8 |
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  | `qnn/deeplab_v3_mobilenet_v3_large_qnn_a16w8_v81.pte` | qnn | a16w8 |
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+ | `qnn/deeplab_v3_resnet50_qnn_a16w8_v69.pte` | qnn | a16w8 |
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+ | `qnn/deeplab_v3_resnet50_qnn_a16w8_v73.pte` | qnn | a16w8 |
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+ | `qnn/deeplab_v3_resnet50_qnn_a16w8_v75.pte` | qnn | a16w8 |
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+ | `qnn/deeplab_v3_resnet50_qnn_a16w8_v79.pte` | qnn | a16w8 |
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+ | `qnn/deeplab_v3_resnet50_qnn_a16w8_v81.pte` | qnn | a16w8 |
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+ | `qnn/deeplab_v3_resnet101_qnn_a16w8_v69.pte` | qnn | a16w8 |
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+ | `qnn/deeplab_v3_resnet101_qnn_a16w8_v73.pte` | qnn | a16w8 |
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+ | `qnn/deeplab_v3_resnet101_qnn_a16w8_v75.pte` | qnn | a16w8 |
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+ | `qnn/deeplab_v3_resnet101_qnn_a16w8_v79.pte` | qnn | a16w8 |
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+ | `qnn/deeplab_v3_resnet101_qnn_a16w8_v81.pte` | qnn | a16w8 |
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  ## QNN variants
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qnn/config.json CHANGED
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+ "precision": "a16w8",
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