diff --git a/onnxruntime/core/providers/dml/DmlExecutionProvider/src/MLOperatorAuthorImpl.cpp b/onnxruntime/core/providers/dml/DmlExecutionProvider/src/MLOperatorAuthorImpl.cpp
index 0d67b12e72..6cd10e14e0 100644
--- a/onnxruntime/core/providers/dml/DmlExecutionProvider/src/MLOperatorAuthorImpl.cpp
+++ b/onnxruntime/core/providers/dml/DmlExecutionProvider/src/MLOperatorAuthorImpl.cpp
@@ -3027,7 +3027,7 @@ namespace Windows::AI::MachineLearning::Adapter
         CASE_PROTO(UINT8, uint8_t, int32_data_size);
         CASE_PROTO(UINT16, uint16_t, int32_data_size);
         CASE_PROTO(UINT32, uint32_t, uint64_data_size);
-        CASE_PROTO(UINT64, uint64_t, int64_data_size);
+        CASE_PROTO(UINT64, uint64_t, uint64_data_size);
         CASE_PROTO(FLOAT16, onnxruntime::MLFloat16, int32_data_size);
         default: ORT_THROW_HR(E_INVALIDARG);
         }
diff --git a/onnxruntime/test/providers/cpu/generator/constant_of_shape_test.cc b/onnxruntime/test/providers/cpu/generator/constant_of_shape_test.cc
index 016c2faf7e..ae451ca38a 100644
--- a/onnxruntime/test/providers/cpu/generator/constant_of_shape_test.cc
+++ b/onnxruntime/test/providers/cpu/generator/constant_of_shape_test.cc
@@ -134,25 +134,14 @@ void RunTypedTest(TensorProto::DataType dt, T value) {
 }
 
 TEST(ConstantOfShape, TypeTests) {
-  // TODO: Unskip when fixed #41968513
-  if (DefaultDmlExecutionProvider().get() != nullptr) {
-    GTEST_SKIP() << "Skipping because of the following error: MLOperatorAuthorImpl.cpp(1876): Unspecified error";
-  }
-
   // bool can not be tested due to a shortcoming of
   // our test infrastructure which makes use of
   // std::vector<T> which has a specialization for bool
   // and does not have a continuous buffer implementation
   // RunTypedTest(TensorProto::BOOL, true);
 
-  // The following two types even though supported by the
-  // operator cause a failure at
-  // onnx\onnx\checker.cc tensor_checker() where these
-  // two types are not listed among those that a tensor may
-  // contain
-  // RunTypedTest(TensorProto::INT8, int8_t(8));
-  // RunTypedTest(TensorProto::INT16, int16_t(16));
-
+  RunTypedTest(TensorProto::INT8, int8_t(8));
+  RunTypedTest(TensorProto::INT16, int16_t(16));
   RunTypedTest(TensorProto::FLOAT, 1.f);
   RunTypedTest(TensorProto::FLOAT16, MLFloat16(static_cast<uint16_t>(5)));
   RunTypedTest(TensorProto::DOUBLE, 1.0);