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Add the a8w8 QNN variants (1.75x faster for -1.4 top-1; a16w8 stays default)
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{
"$schema": "https://huggingface.co/software-mansion/react-native-executorch-spec/resolve/main/config.schema.json",
"model": "efficientnet_v2_s",
"family": "efficientnet",
"capabilities": [
"classification"
],
"backend": "qnn",
"license": "bsd-3-clause",
"variants": [
{
"file": "efficientnet_v2_s_qnn_a16w8_v69.pte",
"precision": "a16w8",
"methods": {
"forward": {
"inputs": [
{
"shape": [
1,
3,
384,
384
],
"dtype": "float32"
}
],
"outputs": [
{
"shape": [
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],
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}
]
}
},
"quantized": true,
"default": false
},
{
"file": "efficientnet_v2_s_qnn_a16w8_v73.pte",
"precision": "a16w8",
"methods": {
"forward": {
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{
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],
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}
],
"outputs": [
{
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],
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]
}
},
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},
{
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"precision": "a16w8",
"methods": {
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{
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},
"quantized": true,
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},
{
"file": "efficientnet_v2_s_qnn_a16w8_v79.pte",
"precision": "a16w8",
"methods": {
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{
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},
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},
{
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}
]
}
},
"quantized": true,
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},
{
"file": "efficientnet_v2_s_qnn_a8w8_v69.pte",
"precision": "a8w8",
"methods": {
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{
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],
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{
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},
"quantized": true,
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},
{
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"precision": "a8w8",
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{
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384
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},
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{
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384
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},
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}
]
}