Re-export under the get_model_schema contract; restructure to the MODEL_SPEC layout

.gitattributes

@@ -36,3 +36,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 PP-DocLayoutV3_coreml.pte filter=lfs diff=lfs merge=lfs -text
 PP-DocLayoutV3_vulkan.pte filter=lfs diff=lfs merge=lfs -text
 PP-DocLayoutV3_xnnpack.pte filter=lfs diff=lfs merge=lfs -text
+coreml/pp_doclayout_v3_coreml_fp16.pte filter=lfs diff=lfs merge=lfs -text
+vulkan/pp_doclayout_v3_vulkan_fp16.pte filter=lfs diff=lfs merge=lfs -text
+xnnpack/pp_doclayout_v3_xnnpack_fp32.pte filter=lfs diff=lfs merge=lfs -text

README.md

@@ -3,6 +3,7 @@ license: apache-2.0
 ---
 
 # Introduction
+
 This repository hosts [PaddleOCR PP-DocLayoutV3](https://huggingface.co/PaddlePaddle/PP-DocLayoutV3_safetensors),
 an RT-DETR-based **document layout detector** (~33M params), for the
 [React Native ExecuTorch](https://www.npmjs.com/package/react-native-executorch) library,
@@ -17,29 +18,39 @@ If you'd like to run these models in your own ExecuTorch runtime, refer to the
 The `.pte` is a pure tensor→tensor function; pre-processing (resize, normalize) and the final
 score threshold are the client's job.
 
+## Repository layout
+
+```
+<backend>/config.json                    # per-backend spec
+<backend>/pp_doclayout_v3_<backend>_<precision>.pte
+labels.json                              # index -> class name, matching the `classes` output
+```
+
 ## Output contract
 
-A single **fixed-shape** method `forward` (shape also declared in `config.json`; no
-shape-discovery companion methods on this model). The RT-DETR box decode is **baked into the
-graph** — outputs are ready-to-threshold:
+A single **fixed-shape** method `forward`, declared in `config.json`. The RT-DETR box decode is
+**baked into the graph** — outputs are ready to threshold:
 
 ```
-in   [1, 3, 800, 800]     # RGB, ImageNet-normalized by the client: (x/255 - mean)/std
+in   [1, 3, 800, 800]     # RGB, normalized by the client to [0, 1] (x/255)
 out  boxes   [300, 4]     # (x1, y1, x2, y2) in 800×800 model-input pixel space
      scores  [300]        # max-class sigmoid score per query
      classes [300]        # float class index per query (argmax)
 ```
 
+Every dimension is static, so this model carries **no `get_model_schema` overrides** — a
+client reads its signature straight from ExecuTorch's `MethodMeta`.
+
 PP-DocLayoutV3 is a **DETR set-prediction** model → **no NMS**. All 300 queries are returned;
 post-processing is just: keep rows with `score ≥ threshold`, scale boxes from the 800×800
 input space to your image, and map `classes[i]` through `labels.json` (index → label).
 
 ### Classes (25)
 
-`abstract, algorithm, aside_text, chart, content, formula, doc_title, figure_title, footer,
-footnote, formula_number, header, image, number, paragraph_title, reference, reference_content,
-seal, table, text, vision_footnote` (some indices map to the same display label; use
-`labels.json` as the authoritative index→label map).
+`abstract, algorithm, aside_text, chart, content, display_formula, doc_title, figure_title,
+footer, footer_image, footnote, formula_number, header, header_image, image, inline_formula,
+number, paragraph_title, reference, reference_content, seal, table, text, vertical_text,
+vision_footnote` — `labels.json` is the authoritative index→label map.
 
 ## Backends, sizes & latency (warm)
 
@@ -62,3 +73,6 @@ the compatibility note in the
 [ExecuTorch GitHub repository](https://github.com/pytorch/executorch/blob/main/runtime/COMPATIBILITY.md).
 If you work with React Native ExecuTorch, the library constants guarantee compatibility with the
 runtime used behind the scenes.
+
+These models were exported with ExecuTorch 1.3.1 and **no forward compatibility** is
+guaranteed; older runtimes may not load them.

config.json

@@ -1,4 +1,3 @@
 {
-  "schemaVersion": 1,
-  "detectionThreshold": 0.2
-}
+  "modelName": "pp-doclayout-v3"
+}

coreml/config.json

@@ -0,0 +1,55 @@
+{
+  "$schema": "https://huggingface.co/software-mansion/react-native-executorch-spec/resolve/main/config.schema.json",
+  "model": "pp_doclayout_v3",
+  "family": "paddleocr",
+  "capabilities": [
+    "object-detection"
+  ],
+  "backend": "coreml",
+  "license": "apache-2.0",
+  "variants": [
+    {
+      "file": "pp_doclayout_v3_coreml_fp16.pte",
+      "precision": "fp16",
+      "quantized": false,
+      "default": true,
+      "size_bytes": 91470588,
+      "methods": {
+        "forward": {
+          "inputs": [
+            {
+              "shape": [
+                1,
+                3,
+                800,
+                800
+              ],
+              "dtype": "float32"
+            }
+          ],
+          "outputs": [
+            {
+              "shape": [
+                300,
+                4
+              ],
+              "dtype": "float32"
+            },
+            {
+              "shape": [
+                300
+              ],
+              "dtype": "float32"
+            },
+            {
+              "shape": [
+                300
+              ],
+              "dtype": "float32"
+            }
+          ]
+        }
+      }
+    }
+  ]
+}

coreml/pp_doclayout_v3_coreml_fp16.pte

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8bc08d24ebe1c17fc46ca57e6c7626ebaa4453299a0c99bd9ac2e8a452f1a6e6
+size 91470588

vulkan/config.json

@@ -0,0 +1,55 @@
+{
+  "$schema": "https://huggingface.co/software-mansion/react-native-executorch-spec/resolve/main/config.schema.json",
+  "model": "pp_doclayout_v3",
+  "family": "paddleocr",
+  "capabilities": [
+    "object-detection"
+  ],
+  "backend": "vulkan",
+  "license": "apache-2.0",
+  "variants": [
+    {
+      "file": "pp_doclayout_v3_vulkan_fp16.pte",
+      "precision": "fp16",
+      "quantized": false,
+      "default": true,
+      "size_bytes": 66608642,
+      "methods": {
+        "forward": {
+          "inputs": [
+            {
+              "shape": [
+                1,
+                3,
+                800,
+                800
+              ],
+              "dtype": "float32"
+            }
+          ],
+          "outputs": [
+            {
+              "shape": [
+                300,
+                4
+              ],
+              "dtype": "float32"
+            },
+            {
+              "shape": [
+                300
+              ],
+              "dtype": "float32"
+            },
+            {
+              "shape": [
+                300
+              ],
+              "dtype": "float32"
+            }
+          ]
+        }
+      }
+    }
+  ]
+}

vulkan/pp_doclayout_v3_vulkan_fp16.pte

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f2f053760bedc659c4d2b23c9e6096ddac07f4557419d953666c3cbf4d3f4fb6
+size 66608642

xnnpack/config.json

@@ -0,0 +1,55 @@
+{
+  "$schema": "https://huggingface.co/software-mansion/react-native-executorch-spec/resolve/main/config.schema.json",
+  "model": "pp_doclayout_v3",
+  "family": "paddleocr",
+  "capabilities": [
+    "object-detection"
+  ],
+  "backend": "xnnpack",
+  "license": "apache-2.0",
+  "variants": [
+    {
+      "file": "pp_doclayout_v3_xnnpack_fp32.pte",
+      "precision": "fp32",
+      "quantized": false,
+      "default": true,
+      "size_bytes": 131820160,
+      "methods": {
+        "forward": {
+          "inputs": [
+            {
+              "shape": [
+                1,
+                3,
+                800,
+                800
+              ],
+              "dtype": "float32"
+            }
+          ],
+          "outputs": [
+            {
+              "shape": [
+                300,
+                4
+              ],
+              "dtype": "float32"
+            },
+            {
+              "shape": [
+                300
+              ],
+              "dtype": "float32"
+            },
+            {
+              "shape": [
+                300
+              ],
+              "dtype": "float32"
+            }
+          ]
+        }
+      }
+    }
+  ]
+}

xnnpack/pp_doclayout_v3_xnnpack_fp32.pte

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:994dfa66134a8c111473601d971dfc50199cc4bdf25b60d34540aebeeba7f066
+size 131820160