to 26

Signed-off-by: Ti-Tai Wang <titaiwang@microsoft.com>

Author: titaiwangms

onnx/defs/math/defs.cc

@@ -1891,7 +1891,7 @@ ONNX_OPERATOR_SET_SCHEMA(
           defs::math::utils::MatMulShapeInference(ctx, 0, 1);
         }));
 
-static const char* CumProd_ver24_doc = R"DOC(
+static const char* CumProd_ver26_doc = R"DOC(
 Performs cumulative product of the input elements along the given axis.
 By default, it will do the product inclusively meaning the first element is copied as is.
 Through an `exclusive` attribute, this behavior can change to exclude the first element.
@@ -1915,9 +1915,9 @@ output = [6, 3, 1]
 
 ONNX_OPERATOR_SET_SCHEMA(
     CumProd,
-    24,
+    26,
     OpSchema()
-        .SetDoc(CumProd_ver24_doc)
+        .SetDoc(CumProd_ver26_doc)
         .Attr(
             "exclusive",
             "If set to 1 will return exclusive product in which the top element is not included."

onnx/defs/operator_sets.h

@@ -1445,13 +1445,13 @@ class OpSet_Onnx_ver25 {
 };
 
 // Forward declarations for ai.onnx version 26
+class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 26, CumProd);
 
 // Iterate over schema from ai.onnx version 26
 class OpSet_Onnx_ver26 {
  public:
   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
-    // TODO: Remove after introducing the first schema to opset 26
-    (void)fn;
+    fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 26, CumProd)>());
   }
 };
 

onnx/test/version_converter/automatic_upgrade_test.py

@@ -357,7 +357,7 @@ def test_Cos(self) -> None:
     def test_CumProd(self) -> None:
         self._test_op_upgrade(
             "CumProd",
-            24,
+            26,
             [[3, 4, 5], []],
             [[3, 4, 5]],
             [TensorProto.FLOAT, TensorProto.INT64],