msluszniak's picture
fix(v0.9.0): restore 3 backbones (mobilenet_v3_large, resnet50, resnet101) × {fp32,int8} from v0.8.0
2319502 verified
{
"$schema": "https://huggingface.co/software-mansion/react-native-executorch-spec/resolve/main/config.schema.json",
"model": "deeplab_v3",
"family": "deeplab",
"capabilities": [
"semantic-segmentation"
],
"backend": "xnnpack",
"license": "bsd-3-clause",
"variants": [
{
"file": "deeplab_v3_mobilenet_v3_large_xnnpack_fp32.pte",
"precision": "fp32",
"quantized": false,
"default": true,
"size": "mobilenet_v3_large",
"methods": {
"forward": {
"inputs": [
{
"shape": [
1,
3,
520,
520
],
"dtype": "float32"
}
],
"outputs": [
{
"shape": [
1,
21,
520,
520
],
"dtype": "float32"
},
{
"shape": [
1,
21,
520,
520
],
"dtype": "float32"
}
]
}
}
},
{
"file": "deeplab_v3_mobilenet_v3_large_xnnpack_int8.pte",
"precision": "int8",
"quantized": true,
"default": true,
"size": "mobilenet_v3_large",
"methods": {
"forward": {
"inputs": [
{
"shape": [
1,
3,
520,
520
],
"dtype": "float32"
}
],
"outputs": [
{
"shape": [
1,
21,
520,
520
],
"dtype": "float32"
},
{
"shape": [
1,
21,
520,
520
],
"dtype": "float32"
}
]
}
}
},
{
"file": "deeplab_v3_resnet50_xnnpack_fp32.pte",
"precision": "fp32",
"quantized": false,
"default": false,
"size": "resnet50",
"methods": {
"forward": {
"inputs": [
{
"shape": [
1,
3,
520,
520
],
"dtype": "float32"
}
],
"outputs": [
{
"shape": [
1,
21,
520,
520
],
"dtype": "float32"
},
{
"shape": [
1,
21,
520,
520
],
"dtype": "float32"
}
]
}
}
},
{
"file": "deeplab_v3_resnet50_xnnpack_int8.pte",
"precision": "int8",
"quantized": true,
"default": false,
"size": "resnet50",
"methods": {
"forward": {
"inputs": [
{
"shape": [
1,
3,
520,
520
],
"dtype": "float32"
}
],
"outputs": [
{
"shape": [
1,
21,
520,
520
],
"dtype": "float32"
},
{
"shape": [
1,
21,
520,
520
],
"dtype": "float32"
}
]
}
}
},
{
"file": "deeplab_v3_resnet101_xnnpack_fp32.pte",
"precision": "fp32",
"quantized": false,
"default": false,
"size": "resnet101",
"methods": {
"forward": {
"inputs": [
{
"shape": [
1,
3,
520,
520
],
"dtype": "float32"
}
],
"outputs": [
{
"shape": [
1,
21,
520,
520
],
"dtype": "float32"
},
{
"shape": [
1,
21,
520,
520
],
"dtype": "float32"
}
]
}
}
},
{
"file": "deeplab_v3_resnet101_xnnpack_int8.pte",
"precision": "int8",
"quantized": true,
"default": false,
"size": "resnet101",
"methods": {
"forward": {
"inputs": [
{
"shape": [
1,
3,
520,
520
],
"dtype": "float32"
}
],
"outputs": [
{
"shape": [
1,
21,
520,
520
],
"dtype": "float32"
},
{
"shape": [
1,
21,
520,
520
],
"dtype": "float32"
}
]
}
}
}
]
}