Add ingestion support for pad opset 19

src/Builder/OpBuildTable.inc

@@ -133,7 +133,7 @@ op_dialect_version_map_["OptionalGetElement"] = {18};
 op_dialect_version_map_["OptionalHasElement"] = {18};
 op_dialect_version_map_["Or"] = {7};
 op_dialect_version_map_["PRelu"] = {16};
-op_dialect_version_map_["Pad"] = {18, 13, 11, 2};
+op_dialect_version_map_["Pad"] = {19, 13, 11, 2};
 op_dialect_version_map_["Pow"] = {15};
 op_dialect_version_map_["QLinearConv"] = {10};
 op_dialect_version_map_["QLinearMatMul"] = {10};

src/Dialect/ONNX/ONNXOps.td.inc

@@ -5168,6 +5168,8 @@ def ONNXPadOp:ONNX_Op<"Pad",
 
   3) `edge` - pads with the edge values of array
 
+  4) `wrap` - wrap-around padding as if the data tensor forms a torus
+
 
   Example 1 (`constant` mode):
 
@@ -5232,6 +5234,29 @@ def ONNXPadOp:ONNX_Op<"Pad",
       [4.5, 4.5, 4.5, 5.7],
   ]
   ```
+
+  Example 4 (`wrap` mode):
+
+  ```
+  data = [
+      [1.0, 1.2],
+      [2.3, 3.4],
+      [4.5, 5.7],
+  ]
+
+  pads = [2, 1, 1, 1]
+
+  mode = 'wrap'
+
+  output = [
+      [3.4, 2.3, 3.4, 2.3],
+      [5.7, 4.5, 5.7, 4.5],
+      [1.2, 1.0, 1.2, 1.0],
+      [3.4, 2.3, 3.4, 2.3],
+      [5.7, 4.5, 5.7, 4.5],
+      [1.2, 1.0, 1.2, 1.0],
+  ]
+  ```
   }];
   let arguments = (ins AnyTypeOf<[TensorOf<[UI8]>, TensorOf<[UI16]>, TensorOf<[UI32]>, TensorOf<[UI64]>, TensorOf<[I8]>, TensorOf<[I16]>, TensorOf<[I32]>, TensorOf<[I64]>, TensorOf<[BF16]>, TensorOf<[F16]>, TensorOf<[F32]>, TensorOf<[F64]>, TensorOf<[StringType]>, TensorOf<[I1]>, TensorOf<[Complex<F32>]>, TensorOf<[Complex<F64>]>]>:$data,
     TensorOf<[I64]>:$pads,

utils/gen_onnx_mlir.py

@@ -202,7 +202,7 @@
  'OptionalHasElement' : [18],
  'Or': [7],
  'PRelu': [16],
- 'Pad': [18, 13, 11, 2],
+ 'Pad': [19, 13, 11, 2],
  'Pow': [15],
  'QLinearConv': [10],
  'QLinearMatMul': [10],