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ExecuTorch
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msluszniak commited on
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Add backend config (ExecuTorch 1.4.1)

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  1. coreml/config.json +210 -0
coreml/config.json ADDED
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+ {
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+ "$schema": "https://huggingface.co/software-mansion/react-native-executorch-spec/resolve/main/config.schema.json",
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+ "model": "deeplab_v3",
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+ "family": "deeplab",
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+ "capabilities": [
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+ "semantic-segmentation"
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+ ],
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+ "backend": "coreml",
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+ "license": "bsd-3-clause",
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+ "variants": [
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+ {
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+ "file": "deeplab_v3_mobilenet_v3_large_coreml_fp16.pte",
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+ "precision": "fp16",
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+ "quantized": false,
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+ "default": true,
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+ "size": "mobilenet_v3_large",
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+ "methods": {
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+ "forward": {
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+ "inputs": [
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+ {
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+ "shape": [
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+ 1,
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+ 3,
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+ 520,
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+ 520
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+ ],
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+ "dtype": "float32"
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+ }
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+ ],
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+ "outputs": [
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+ {
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+ "shape": [
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+ 1,
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+ 21,
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+ 520,
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+ 520
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+ ],
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+ "dtype": "float32"
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+ }
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+ ]
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+ }
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+ }
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+ },
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+ {
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+ "file": "deeplab_v3_resnet50_coreml_fp16.pte",
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+ "precision": "fp16",
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+ "quantized": false,
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+ "default": false,
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+ "size": "resnet50",
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+ "methods": {
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+ "forward": {
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+ "inputs": [
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+ {
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+ "shape": [
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+ 1,
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+ 3,
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+ 520,
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+ 520
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+ ],
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+ "dtype": "float32"
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+ }
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+ ],
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+ "outputs": [
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+ {
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+ "shape": [
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+ 1,
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+ 21,
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+ 520,
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+ 520
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+ ],
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+ "dtype": "float32"
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+ }
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+ ]
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+ }
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+ }
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+ },
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+ {
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+ "file": "deeplab_v3_resnet101_coreml_fp16.pte",
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+ "precision": "fp16",
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+ "quantized": false,
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+ "default": false,
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+ "size": "resnet101",
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+ "methods": {
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+ "forward": {
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+ "inputs": [
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+ {
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+ "shape": [
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+ 1,
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+ 3,
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+ 520,
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+ 520
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+ ],
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+ "dtype": "float32"
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+ }
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+ ],
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+ "outputs": [
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+ {
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+ "shape": [
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+ 1,
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+ 21,
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+ 520,
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+ 520
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+ ],
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+ "dtype": "float32"
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+ }
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+ ]
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+ }
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+ }
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+ },
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+ {
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+ "file": "deeplab_v3_mobilenet_v3_large_coreml_fp32.pte",
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+ "precision": "fp32",
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+ "quantized": false,
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+ "default": false,
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+ "size": "mobilenet_v3_large",
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+ "methods": {
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+ "forward": {
118
+ "inputs": [
119
+ {
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+ "shape": [
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+ 1,
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+ 3,
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+ 520,
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+ 520
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+ ],
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+ "dtype": "float32"
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+ }
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+ ],
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+ "outputs": [
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+ {
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+ "shape": [
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+ 1,
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+ 21,
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+ 520,
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+ 520
136
+ ],
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+ "dtype": "float32"
138
+ }
139
+ ]
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+ }
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+ }
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+ },
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+ {
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+ "file": "deeplab_v3_resnet50_coreml_fp32.pte",
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+ "precision": "fp32",
146
+ "quantized": false,
147
+ "default": false,
148
+ "size": "resnet50",
149
+ "methods": {
150
+ "forward": {
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+ "inputs": [
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+ {
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+ "shape": [
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+ 1,
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+ 3,
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+ 520,
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+ 520
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+ ],
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+ "dtype": "float32"
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+ }
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+ ],
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+ "outputs": [
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+ {
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+ "shape": [
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+ 1,
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+ 21,
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+ 520,
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+ 520
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+ ],
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+ "dtype": "float32"
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+ }
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+ ]
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+ }
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+ }
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+ },
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+ {
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+ "file": "deeplab_v3_resnet101_coreml_fp32.pte",
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+ "precision": "fp32",
179
+ "quantized": false,
180
+ "default": false,
181
+ "size": "resnet101",
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+ "methods": {
183
+ "forward": {
184
+ "inputs": [
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+ {
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+ "shape": [
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+ 1,
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+ 3,
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+ 520,
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+ 520
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+ ],
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+ "dtype": "float32"
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+ }
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+ ],
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+ "outputs": [
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+ {
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+ "shape": [
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+ 1,
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+ 21,
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+ 520,
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+ 520
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+ ],
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+ "dtype": "float32"
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+ }
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+ ]
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+ }
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+ }
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+ }
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+ ]
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+ }