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v0.63.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.63.0 for changelog.

Files changed (2) hide show
  1. README.md +72 -45
  2. release_assets.json +24 -7
README.md CHANGED
@@ -14,7 +14,7 @@ pipeline_tag: image-segmentation
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  PSPNet (Pyramid Scene Parsing Network) is a semantic segmentation model that captures global context information by applying pyramid pooling modules. It is designed to improve scene understanding by aggregating contextual features at multiple scales.
16
 
17
- This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.62.2/src/qai_hub_models/models/pspnet) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
18
 
19
  Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
20
 
@@ -27,23 +27,25 @@ Below are pre-exported model assets ready for deployment.
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  | Runtime | Precision | Chipset | SDK Versions | Download |
29
  |---|---|---|---|---|
30
- | ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.62.2/pspnet-onnx-float.zip)
31
- | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.62.2/pspnet-qnn_dlc-float.zip)
32
- | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.62.2/pspnet-tflite-float.zip)
 
 
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34
  For more device-specific assets and performance metrics, visit **[PSPNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/pspnet)**.
35
 
36
 
37
  ### Option 2: Export with Custom Configurations
38
 
39
- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.62.2/src/qai_hub_models/models/pspnet) Python library to compile and export the model with your own:
40
  - Custom weights (e.g., fine-tuned checkpoints)
41
  - Custom input shapes
42
  - Target device and runtime configurations
43
 
44
  This option is ideal if you need to customize the model beyond the default configuration provided here.
45
 
46
- See our repository for [PSPNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.62.2/src/qai_hub_models/models/pspnet) for usage instructions.
47
 
48
  ## Model Details
49
 
@@ -58,49 +60,74 @@ See our repository for [PSPNet on GitHub](https://github.com/qualcomm/ai-hub-mod
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  ## Performance Summary
59
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
60
  |---|---|---|---|---|---|---
61
- | PSPNet | ONNX | float | Snapdragon® X2 Elite | 837.924 ms | 528 - 528 MB | NPU
62
- | PSPNet | ONNX | float | Snapdragon® X Elite | 1344.764 ms | 267 - 267 MB | NPU
63
- | PSPNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 971.916 ms | 144 - 1989 MB | NPU
64
- | PSPNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 2243.94 ms | 111 - 966 MB | NPU
65
- | PSPNet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 1392.889 ms | 8 - 14 MB | NPU
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- | PSPNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1153.578 ms | 3 - 163 MB | NPU
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- | PSPNet | ONNX | float | Qualcomm® QCS8450 | 2243.94 ms | 111 - 966 MB | NPU
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- | PSPNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1414.96 ms | 8 - 13 MB | NPU
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- | PSPNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1344.764 ms | 267 - 267 MB | NPU
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- | PSPNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 645.629 ms | 205 - 1676 MB | NPU
71
- | PSPNet | ONNX | float | Snapdragon® 8 Elite Mobile | 645.629 ms | 205 - 1676 MB | NPU
72
- | PSPNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 719.518 ms | 242 - 1838 MB | NPU
73
- | PSPNet | QNN_DLC | float | Snapdragon® X2 Elite | 2498.773 ms | 3 - 3 MB | NPU
74
- | PSPNet | QNN_DLC | float | Snapdragon® X Elite | 2550.3 ms | 3 - 3 MB | NPU
75
- | PSPNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1844.443 ms | 3 - 1656 MB | NPU
76
- | PSPNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 1591.981 ms | 1 - 851 MB | NPU
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- | PSPNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 2521.737 ms | 3 - 136 MB | NPU
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- | PSPNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2503.326 ms | 0 - 26 MB | NPU
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- | PSPNet | QNN_DLC | float | Qualcomm® SA8775P | 2618.077 ms | 2 - 1308 MB | NPU
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
80
  | PSPNet | QNN_DLC | float | Qualcomm® SA8650P | 2618.077 ms | 2 - 1308 MB | NPU
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  | PSPNet | QNN_DLC | float | Qualcomm® SA8255P | 2618.077 ms | 2 - 1308 MB | NPU
82
- | PSPNet | QNN_DLC | float | Qualcomm® QCS8450 | 1591.981 ms | 1 - 851 MB | NPU
83
- | PSPNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 2592.708 ms | 5 - 137 MB | NPU
84
- | PSPNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 2550.3 ms | 3 - 3 MB | NPU
85
- | PSPNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 2167.937 ms | 0 - 1311 MB | NPU
86
- | PSPNet | QNN_DLC | float | Qualcomm® SA7255P | 5287.85 ms | 2 - 1307 MB | NPU
87
- | PSPNet | QNN_DLC | float | Qualcomm® SA8295P | 1359.349 ms | 3 - 647 MB | NPU
88
- | PSPNet | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 2167.937 ms | 0 - 1311 MB | NPU
89
- | PSPNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 2327.151 ms | 0 - 1362 MB | NPU
90
- | PSPNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2122.19 ms | 1 - 1704 MB | NPU
91
- | PSPNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 1860.641 ms | 41 - 969 MB | NPU
92
- | PSPNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 2876.544 ms | 24 - 299 MB | NPU
93
- | PSPNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2827.598 ms | 27 - 30 MB | NPU
94
- | PSPNet | TFLITE | float | Qualcomm® SA8775P | 2948.943 ms | 104 - 1502 MB | NPU
 
 
 
 
 
 
 
 
 
 
 
 
 
95
  | PSPNet | TFLITE | float | Qualcomm® SA8650P | 2948.943 ms | 104 - 1502 MB | NPU
96
  | PSPNet | TFLITE | float | Qualcomm® SA8255P | 2948.943 ms | 104 - 1502 MB | NPU
97
- | PSPNet | TFLITE | float | Qualcomm® QCS8450 | 1860.641 ms | 41 - 969 MB | NPU
98
- | PSPNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 2934.449 ms | 38 - 313 MB | NPU
99
- | PSPNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 2165.949 ms | 104 - 1511 MB | NPU
100
- | PSPNet | TFLITE | float | Qualcomm® SA7255P | 5966.001 ms | 105 - 1503 MB | NPU
101
- | PSPNet | TFLITE | float | Qualcomm® SA8295P | 1421.718 ms | 128 - 837 MB | NPU
102
- | PSPNet | TFLITE | float | Snapdragon® 8 Elite Mobile | 2165.949 ms | 104 - 1511 MB | NPU
103
- | PSPNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 2329.89 ms | 0 - 1451 MB | NPU
104
 
105
  ## License
106
  * The license for the original implementation of PSPNet can be found
 
14
 
15
  PSPNet (Pyramid Scene Parsing Network) is a semantic segmentation model that captures global context information by applying pyramid pooling modules. It is designed to improve scene understanding by aggregating contextual features at multiple scales.
16
 
17
+ This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/pspnet) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
18
 
19
  Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
20
 
 
27
 
28
  | Runtime | Precision | Chipset | SDK Versions | Download |
29
  |---|---|---|---|---|
30
+ | ONNX | float | Universal | QAIRT 2.50, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.63.0/pspnet-onnx-float.zip)
31
+ | ONNX | w8a8 | Universal | QAIRT 2.50, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.63.0/pspnet-onnx-w8a8.zip)
32
+ | QNN_DLC | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.63.0/pspnet-qnn_dlc-float.zip)
33
+ | QNN_DLC | w8a8 | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.63.0/pspnet-qnn_dlc-w8a8.zip)
34
+ | TFLITE | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.63.0/pspnet-tflite-float.zip)
35
 
36
  For more device-specific assets and performance metrics, visit **[PSPNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/pspnet)**.
37
 
38
 
39
  ### Option 2: Export with Custom Configurations
40
 
41
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/pspnet) Python library to compile and export the model with your own:
42
  - Custom weights (e.g., fine-tuned checkpoints)
43
  - Custom input shapes
44
  - Target device and runtime configurations
45
 
46
  This option is ideal if you need to customize the model beyond the default configuration provided here.
47
 
48
+ See our repository for [PSPNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/pspnet) for usage instructions.
49
 
50
  ## Model Details
51
 
 
60
  ## Performance Summary
61
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
62
  |---|---|---|---|---|---|---
63
+ | PSPNet | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 534.749 ms | 151 - 1806 MB | NPU
64
+ | PSPNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 584.12 ms | 103 - 1747 MB | NPU
65
+ | PSPNet | ONNX | float | Snapdragon® X2 Elite | 530.022 ms | 529 - 529 MB | NPU
66
+ | PSPNet | ONNX | float | Snapdragon® X Elite | 774.488 ms | 532 - 532 MB | NPU
67
+ | PSPNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 593.617 ms | 142 - 2936 MB | NPU
68
+ | PSPNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 1450.965 ms | 14 - 887 MB | NPU
69
+ | PSPNet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 893.451 ms | 8 - 15 MB | NPU
70
+ | PSPNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 778.267 ms | 218 - 221 MB | NPU
71
+ | PSPNet | ONNX | float | Qualcomm® QCS8450 | 1450.965 ms | 14 - 887 MB | NPU
72
+ | PSPNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 860.587 ms | 8 - 14 MB | NPU
73
+ | PSPNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 774.488 ms | 532 - 532 MB | NPU
74
+ | PSPNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 584.12 ms | 103 - 1747 MB | NPU
75
+ | PSPNet | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 37.894 ms | 69 - 561 MB | NPU
76
+ | PSPNet | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 43.809 ms | 70 - 444 MB | NPU
77
+ | PSPNet | ONNX | w8a8 | Snapdragon® X2 Elite | 35.351 ms | 132 - 132 MB | NPU
78
+ | PSPNet | ONNX | w8a8 | Snapdragon® X Elite | 65.604 ms | 133 - 133 MB | NPU
79
+ | PSPNet | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 51.517 ms | 72 - 689 MB | NPU
80
+ | PSPNet | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 81.97 ms | 0 - 557 MB | NPU
81
+ | PSPNet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 68.476 ms | 68 - 73 MB | NPU
82
+ | PSPNet | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 68.707 ms | 0 - 83 MB | NPU
83
+ | PSPNet | ONNX | w8a8 | Qualcomm® QCS8450 | 81.97 ms | 0 - 557 MB | NPU
84
+ | PSPNet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 67.803 ms | 71 - 75 MB | NPU
85
+ | PSPNet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 65.604 ms | 133 - 133 MB | NPU
86
+ | PSPNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 147.868 ms | 71 - 572 MB | NPU
87
+ | PSPNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 43.809 ms | 70 - 444 MB | NPU
88
+ | PSPNet | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 147.868 ms | 71 - 572 MB | NPU
89
+ | PSPNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 547.188 ms | 0 - 1652 MB | NPU
90
+ | PSPNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 581.819 ms | 0 - 1591 MB | NPU
91
+ | PSPNet | QNN_DLC | float | Snapdragon® X2 Elite | 545.139 ms | 3 - 3 MB | NPU
92
+ | PSPNet | QNN_DLC | float | Snapdragon® X Elite | 789.801 ms | 3 - 3 MB | NPU
93
+ | PSPNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 617.269 ms | 3 - 2800 MB | NPU
94
+ | PSPNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 1076.551 ms | 0 - 702 MB | NPU
95
+ | PSPNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 912.417 ms | 3 - 136 MB | NPU
96
+ | PSPNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 787.043 ms | 3 - 6 MB | NPU
97
  | PSPNet | QNN_DLC | float | Qualcomm® SA8650P | 2618.077 ms | 2 - 1308 MB | NPU
98
  | PSPNet | QNN_DLC | float | Qualcomm® SA8255P | 2618.077 ms | 2 - 1308 MB | NPU
99
+ | PSPNet | QNN_DLC | float | Qualcomm® QCS8450 | 1076.551 ms | 0 - 702 MB | NPU
100
+ | PSPNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 870.035 ms | 5 - 137 MB | NPU
101
+ | PSPNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 789.801 ms | 3 - 3 MB | NPU
102
+ | PSPNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 581.819 ms | 0 - 1591 MB | NPU
103
+ | PSPNet | QNN_DLC | float | Qualcomm® SA8295P | 966.131 ms | 0 - 556 MB | NPU
104
+ | PSPNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 41.119 ms | 1 - 570 MB | NPU
105
+ | PSPNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 46.776 ms | 1 - 378 MB | NPU
106
+ | PSPNet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 37.145 ms | 1 - 1 MB | NPU
107
+ | PSPNet | QNN_DLC | w8a8 | Snapdragon® X Elite | 70.678 ms | 1 - 1 MB | NPU
108
+ | PSPNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 57.117 ms | 1 - 594 MB | NPU
109
+ | PSPNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 91.096 ms | 1 - 550 MB | NPU
110
+ | PSPNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 75.61 ms | 1 - 36 MB | NPU
111
+ | PSPNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 72.746 ms | 1 - 4 MB | NPU
112
+ | PSPNet | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 91.096 ms | 1 - 550 MB | NPU
113
+ | PSPNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 73.347 ms | 1 - 35 MB | NPU
114
+ | PSPNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 70.678 ms | 1 - 1 MB | NPU
115
+ | PSPNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 145.545 ms | 1 - 484 MB | NPU
116
+ | PSPNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 46.776 ms | 1 - 378 MB | NPU
117
+ | PSPNet | QNN_DLC | w8a8 | Qualcomm® SA8295P | 98.657 ms | 1 - 437 MB | NPU
118
+ | PSPNet | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 145.545 ms | 1 - 484 MB | NPU
119
+ | PSPNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 554.788 ms | 111 - 1804 MB | NPU
120
+ | PSPNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 584.683 ms | 127 - 1760 MB | NPU
121
+ | PSPNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 605.29 ms | 134 - 3020 MB | NPU
122
+ | PSPNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 1445.795 ms | 83 - 1008 MB | NPU
123
+ | PSPNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 906.913 ms | 0 - 279 MB | NPU
124
+ | PSPNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 779.948 ms | 128 - 131 MB | NPU
125
  | PSPNet | TFLITE | float | Qualcomm® SA8650P | 2948.943 ms | 104 - 1502 MB | NPU
126
  | PSPNet | TFLITE | float | Qualcomm® SA8255P | 2948.943 ms | 104 - 1502 MB | NPU
127
+ | PSPNet | TFLITE | float | Qualcomm® QCS8450 | 1445.795 ms | 83 - 1008 MB | NPU
128
+ | PSPNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 871.696 ms | 0 - 278 MB | NPU
129
+ | PSPNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 584.683 ms | 127 - 1760 MB | NPU
130
+ | PSPNet | TFLITE | float | Qualcomm® SA8295P | 890.415 ms | 93 - 807 MB | NPU
 
 
 
131
 
132
  ## License
133
  * The license for the original implementation of PSPNet can be found
release_assets.json CHANGED
@@ -1,26 +1,43 @@
1
  {
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- "version": "0.62.2",
3
  "precisions": {
4
  "float": {
5
  "universal_assets": {
6
  "onnx": {
7
  "tool_versions": {
8
- "qairt": "2.45.0.260326154327",
9
  "onnx_runtime": "1.27.1"
10
  },
11
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.62.2/pspnet-onnx-float.zip"
12
  },
13
  "qnn_dlc": {
14
  "tool_versions": {
15
- "qairt": "2.45.0.260326154327"
16
  },
17
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.62.2/pspnet-qnn_dlc-float.zip"
18
  },
19
  "tflite": {
20
  "tool_versions": {
21
- "qairt": "2.45.0.260326154327"
22
  },
23
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.62.2/pspnet-tflite-float.zip"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
24
  }
25
  }
26
  }
 
1
  {
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+ "version": "0.63.0",
3
  "precisions": {
4
  "float": {
5
  "universal_assets": {
6
  "onnx": {
7
  "tool_versions": {
8
+ "qairt": "2.50.0.260828221209",
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  "onnx_runtime": "1.27.1"
10
  },
11
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.63.0/pspnet-onnx-float.zip"
12
  },
13
  "qnn_dlc": {
14
  "tool_versions": {
15
+ "qairt": "2.50.0.260828221209"
16
  },
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.63.0/pspnet-qnn_dlc-float.zip"
18
  },
19
  "tflite": {
20
  "tool_versions": {
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+ "qairt": "2.50.0.260828221209"
22
  },
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.63.0/pspnet-tflite-float.zip"
24
+ }
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+ }
26
+ },
27
+ "w8a8": {
28
+ "universal_assets": {
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+ "onnx": {
30
+ "tool_versions": {
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+ "qairt": "2.50.0.260828221209",
32
+ "onnx_runtime": "1.27.1"
33
+ },
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.63.0/pspnet-onnx-w8a8.zip"
35
+ },
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+ "qnn_dlc": {
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+ "tool_versions": {
38
+ "qairt": "2.50.0.260828221209"
39
+ },
40
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pspnet/releases/v0.63.0/pspnet-qnn_dlc-w8a8.zip"
41
  }
42
  }
43
  }