Stop restating quantized, and drop the unused default

quantized duplicated precisions.json, which is authoritative for the
quantized/non-quantized partition. default expressed a per-repository
recommendation nothing consumed: the library resolves its own per-platform
default. Both are gone from the schema.

coreml/config.json

@@ -11,8 +11,6 @@
     {
       "file": "deeplab_v3_mobilenet_v3_large_coreml_fp16.pte",
       "precision": "fp16",
-      "quantized": false,
-      "default": true,
       "size": "mobilenet_v3_large",
       "methods": {
         "forward": {
@@ -44,8 +42,6 @@
     {
       "file": "deeplab_v3_resnet50_coreml_fp16.pte",
       "precision": "fp16",
-      "quantized": false,
-      "default": false,
       "size": "resnet50",
       "methods": {
         "forward": {
@@ -77,8 +73,6 @@
     {
       "file": "deeplab_v3_resnet101_coreml_fp16.pte",
       "precision": "fp16",
-      "quantized": false,
-      "default": false,
       "size": "resnet101",
       "methods": {
         "forward": {

xnnpack/config.json

@@ -11,8 +11,6 @@
     {
       "file": "deeplab_v3_mobilenet_v3_large_xnnpack_fp32.pte",
       "precision": "fp32",
-      "quantized": false,
-      "default": true,
       "size": "mobilenet_v3_large",
       "methods": {
         "forward": {
@@ -53,8 +51,6 @@
     {
       "file": "deeplab_v3_mobilenet_v3_large_xnnpack_int8.pte",
       "precision": "int8",
-      "quantized": true,
-      "default": true,
       "size": "mobilenet_v3_large",
       "methods": {
         "forward": {
@@ -95,8 +91,6 @@
     {
       "file": "deeplab_v3_resnet50_xnnpack_fp32.pte",
       "precision": "fp32",
-      "quantized": false,
-      "default": false,
       "size": "resnet50",
       "methods": {
         "forward": {
@@ -137,8 +131,6 @@
     {
       "file": "deeplab_v3_resnet50_xnnpack_int8.pte",
       "precision": "int8",
-      "quantized": true,
-      "default": false,
       "size": "resnet50",
       "methods": {
         "forward": {
@@ -179,8 +171,6 @@
     {
       "file": "deeplab_v3_resnet101_xnnpack_fp32.pte",
       "precision": "fp32",
-      "quantized": false,
-      "default": false,
       "size": "resnet101",
       "methods": {
         "forward": {
@@ -221,8 +211,6 @@
     {
       "file": "deeplab_v3_resnet101_xnnpack_int8.pte",
       "precision": "int8",
-      "quantized": true,
-      "default": false,
       "size": "resnet101",
       "methods": {
         "forward": {
@@ -261,4 +249,4 @@
       }
     }
   ]
-}
+}