Add QNN fp16 exports for m, s
Browse files- m/qnn/config.json +643 -0
- m/qnn/yolo26m_384_qnn_fp16_v69.pte +3 -0
- m/qnn/yolo26m_384_qnn_fp16_v73.pte +3 -0
- m/qnn/yolo26m_384_qnn_fp16_v75.pte +3 -0
- m/qnn/yolo26m_384_qnn_fp16_v79.pte +3 -0
- m/qnn/yolo26m_384_qnn_fp16_v81.pte +3 -0
- m/qnn/yolo26m_512_qnn_fp16_v69.pte +3 -0
- m/qnn/yolo26m_512_qnn_fp16_v73.pte +3 -0
- m/qnn/yolo26m_512_qnn_fp16_v75.pte +3 -0
- m/qnn/yolo26m_512_qnn_fp16_v79.pte +3 -0
- m/qnn/yolo26m_512_qnn_fp16_v81.pte +3 -0
- m/qnn/yolo26m_640_qnn_fp16_v69.pte +3 -0
- m/qnn/yolo26m_640_qnn_fp16_v73.pte +3 -0
- m/qnn/yolo26m_640_qnn_fp16_v75.pte +3 -0
- m/qnn/yolo26m_640_qnn_fp16_v79.pte +3 -0
- m/qnn/yolo26m_640_qnn_fp16_v81.pte +3 -0
- s/qnn/config.json +643 -0
- s/qnn/yolo26s_384_qnn_fp16_v69.pte +3 -0
- s/qnn/yolo26s_384_qnn_fp16_v73.pte +3 -0
- s/qnn/yolo26s_384_qnn_fp16_v75.pte +3 -0
- s/qnn/yolo26s_384_qnn_fp16_v79.pte +3 -0
- s/qnn/yolo26s_384_qnn_fp16_v81.pte +3 -0
- s/qnn/yolo26s_512_qnn_fp16_v69.pte +3 -0
- s/qnn/yolo26s_512_qnn_fp16_v73.pte +3 -0
- s/qnn/yolo26s_512_qnn_fp16_v75.pte +3 -0
- s/qnn/yolo26s_512_qnn_fp16_v79.pte +3 -0
- s/qnn/yolo26s_512_qnn_fp16_v81.pte +3 -0
- s/qnn/yolo26s_640_qnn_fp16_v69.pte +3 -0
- s/qnn/yolo26s_640_qnn_fp16_v73.pte +3 -0
- s/qnn/yolo26s_640_qnn_fp16_v75.pte +3 -0
- s/qnn/yolo26s_640_qnn_fp16_v79.pte +3 -0
- s/qnn/yolo26s_640_qnn_fp16_v81.pte +3 -0
m/qnn/config.json
ADDED
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@@ -0,0 +1,643 @@
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|
| 1 |
+
{
|
| 2 |
+
"$schema": "https://huggingface.co/software-mansion/react-native-executorch-spec/resolve/main/config.schema.json",
|
| 3 |
+
"model": "yolo26",
|
| 4 |
+
"family": "yolo",
|
| 5 |
+
"capabilities": [
|
| 6 |
+
"object-detection"
|
| 7 |
+
],
|
| 8 |
+
"backend": "qnn",
|
| 9 |
+
"license": "agpl-3.0",
|
| 10 |
+
"size": "m",
|
| 11 |
+
"variants": [
|
| 12 |
+
{
|
| 13 |
+
"file": "yolo26m_384_qnn_fp16_v69.pte",
|
| 14 |
+
"precision": "fp16",
|
| 15 |
+
"quantized": false,
|
| 16 |
+
"default": false,
|
| 17 |
+
"methods": {
|
| 18 |
+
"forward": {
|
| 19 |
+
"inputs": [
|
| 20 |
+
{
|
| 21 |
+
"shape": [
|
| 22 |
+
1,
|
| 23 |
+
3,
|
| 24 |
+
384,
|
| 25 |
+
384
|
| 26 |
+
],
|
| 27 |
+
"dtype": "float32"
|
| 28 |
+
}
|
| 29 |
+
],
|
| 30 |
+
"outputs": [
|
| 31 |
+
{
|
| 32 |
+
"shape": [
|
| 33 |
+
300,
|
| 34 |
+
4
|
| 35 |
+
],
|
| 36 |
+
"dtype": "float32"
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"shape": [
|
| 40 |
+
300
|
| 41 |
+
],
|
| 42 |
+
"dtype": "float32"
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"shape": [
|
| 46 |
+
300
|
| 47 |
+
],
|
| 48 |
+
"dtype": "float32"
|
| 49 |
+
}
|
| 50 |
+
]
|
| 51 |
+
}
|
| 52 |
+
}
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"file": "yolo26m_384_qnn_fp16_v73.pte",
|
| 56 |
+
"precision": "fp16",
|
| 57 |
+
"quantized": false,
|
| 58 |
+
"default": false,
|
| 59 |
+
"methods": {
|
| 60 |
+
"forward": {
|
| 61 |
+
"inputs": [
|
| 62 |
+
{
|
| 63 |
+
"shape": [
|
| 64 |
+
1,
|
| 65 |
+
3,
|
| 66 |
+
384,
|
| 67 |
+
384
|
| 68 |
+
],
|
| 69 |
+
"dtype": "float32"
|
| 70 |
+
}
|
| 71 |
+
],
|
| 72 |
+
"outputs": [
|
| 73 |
+
{
|
| 74 |
+
"shape": [
|
| 75 |
+
300,
|
| 76 |
+
4
|
| 77 |
+
],
|
| 78 |
+
"dtype": "float32"
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"shape": [
|
| 82 |
+
300
|
| 83 |
+
],
|
| 84 |
+
"dtype": "float32"
|
| 85 |
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