diff --git a/csharp/src/Microsoft.ML.OnnxRuntime/NamedOnnxValue.cs b/csharp/src/Microsoft.ML.OnnxRuntime/NamedOnnxValue.cs
index db71783366..1df2bceccc 100644
--- a/csharp/src/Microsoft.ML.OnnxRuntime/NamedOnnxValue.cs
+++ b/csharp/src/Microsoft.ML.OnnxRuntime/NamedOnnxValue.cs
@@ -8,6 +8,7 @@ using System.Numerics.Tensors;
 using System.Buffers;
 using System.Collections;
 using System.Diagnostics;
+using System.Runtime.InteropServices;
 
 namespace Microsoft.ML.OnnxRuntime
 {
@@ -185,16 +186,68 @@ namespace Microsoft.ML.OnnxRuntime
         {
             NamedOnnxValue result = null;
 
-            if (true /* TODO: check native data type when API available. assuming Tensor<float> for now */)
+            /* Get Tensor element type */  //TODO: Assumed value is Tensor, need to support non-tensor types in future
+            IntPtr typeAndShape = IntPtr.Zero;
+            TensorElementType elemType = TensorElementType.DataTypeMax;
+            try
             {
-                NativeOnnxTensorMemory<float> nativeTensorWrapper = new NativeOnnxTensorMemory<float>(nativeOnnxValue);
-                DenseTensor<float> dt = new DenseTensor<float>(nativeTensorWrapper.Memory, nativeTensorWrapper.Dimensions);
-                result = new NamedOnnxValue(name, dt);
+                NativeApiStatus.VerifySuccess(NativeMethods.ONNXRuntimeGetTensorShapeAndType(nativeOnnxValue, out typeAndShape));
+                elemType = NativeMethods.ONNXRuntimeGetTensorElementType(typeAndShape);
+            }
+            finally
+            {
+                if (typeAndShape != IntPtr.Zero)
+                {
+                    NativeMethods.ONNXRuntimeReleaseObject(typeAndShape);
+                }
+            }
+
+            switch (elemType)
+            {
+                case TensorElementType.Float:
+                    result = NameOnnxValueFromNativeTensor<float>(name, nativeOnnxValue);
+                    break;
+                case TensorElementType.Double:
+                    result = NameOnnxValueFromNativeTensor<double>(name, nativeOnnxValue);
+                    break;
+                case TensorElementType.Int16:
+                    result = NameOnnxValueFromNativeTensor<short>(name, nativeOnnxValue);
+                    break;
+                case TensorElementType.UInt16:
+                    result = NameOnnxValueFromNativeTensor<ushort>(name, nativeOnnxValue);
+                    break;
+                case TensorElementType.Int32:
+                    result = NameOnnxValueFromNativeTensor<int>(name, nativeOnnxValue);
+                    break;
+                case TensorElementType.UInt32:
+                    result = NameOnnxValueFromNativeTensor<uint>(name, nativeOnnxValue);
+                    break;
+                case TensorElementType.Int64:
+                    result = NameOnnxValueFromNativeTensor<long>(name, nativeOnnxValue);
+                    break;
+                case TensorElementType.UInt64:
+                    result = NameOnnxValueFromNativeTensor<ulong>(name, nativeOnnxValue);
+                    break;
+                case TensorElementType.UInt8:
+                    result = NameOnnxValueFromNativeTensor<byte>(name, nativeOnnxValue);
+                    break;
+                default:
+                    throw new NotSupportedException("Tensor of element type: "+elemType+" is not supported");
+                    
             }
 
             return result;
         }
 
+
+        private static NamedOnnxValue NameOnnxValueFromNativeTensor<T>(string name, IntPtr nativeOnnxValue)
+        {
+            NativeOnnxTensorMemory<T> nativeTensorWrapper = new NativeOnnxTensorMemory<T>(nativeOnnxValue);
+            DenseTensor<T> dt = new DenseTensor<T>(nativeTensorWrapper.Memory, nativeTensorWrapper.Dimensions);
+            return NamedOnnxValue.CreateFromTensor<T>(name, dt);
+        }
+
+
         private bool TryPinAsTensor<T>(
                 out MemoryHandle pinnedMemoryHandle,
                 out IntPtr dataBufferPointer,
diff --git a/csharp/src/Microsoft.ML.OnnxRuntime/NativeOnnxTensorMemory.cs b/csharp/src/Microsoft.ML.OnnxRuntime/NativeOnnxTensorMemory.cs
index f70aa8083e..0339ac8871 100644
--- a/csharp/src/Microsoft.ML.OnnxRuntime/NativeOnnxTensorMemory.cs
+++ b/csharp/src/Microsoft.ML.OnnxRuntime/NativeOnnxTensorMemory.cs
@@ -79,6 +79,12 @@ namespace Microsoft.ML.OnnxRuntime
             Dispose(false);
         }
 
+        public void Dispose()
+        {
+            GC.SuppressFinalize(this);
+            Dispose(true);
+        }
+
         public bool IsDisposed => _disposed;
 
         protected bool IsRetained => _referenceCount > 0;
@@ -99,6 +105,22 @@ namespace Microsoft.ML.OnnxRuntime
             }
         }
 
+        public int Count
+        {
+            get
+            {
+                return _elementCount;
+            }
+        }
+
+        public int ElementWidth
+        {
+            get
+            {
+                return _elementWidth;
+            }
+        }
+
         public override Span<T> GetSpan()
         {
             if (IsDisposed)
diff --git a/csharp/test/Microsoft.ML.OnnxRuntime.Tests/InferenceTest.cs b/csharp/test/Microsoft.ML.OnnxRuntime.Tests/InferenceTest.cs
index e185cb6796..3f97444128 100644
--- a/csharp/test/Microsoft.ML.OnnxRuntime.Tests/InferenceTest.cs
+++ b/csharp/test/Microsoft.ML.OnnxRuntime.Tests/InferenceTest.cs
@@ -183,6 +183,227 @@ namespace Microsoft.ML.OnnxRuntime.Tests
             session.Dispose();
         }
 
+        [Fact]
+        private void Yunsong()
+        {
+            var session = new InferenceSession(@"model_181031_12.onnx");
+
+            float[] zerof = new float[] { 0 };
+            long[] zerol = new long[] { 1 };
+            var data = new List<NamedOnnxValue>() {
+                 NamedOnnxValue.CreateFromTensor<float>("input_0_0", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_0_1", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_1_0", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_1_1", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_1_2", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_1_3", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_1_4", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_2_0", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_2_1", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_2_2", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_2_3", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_2_4", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_2_5", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_3_0", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_3_1", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_0", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_1", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_2", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_3", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_4", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_5", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_6", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_7", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_8", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_9", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_10", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_11", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_12", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_13", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_14", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_15", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_16", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_17", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_18", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_19", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_20", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_21", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_22", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_23", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_24", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_25", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_26", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_27", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_28", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_29", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_30", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_31", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_32", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_33", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_34", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_35", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_36", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_37", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_38", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_39", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_40", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_41", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_42", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_43", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_44", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_45", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_46", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_47", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_48", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_49", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_50", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_51", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_52", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_53", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_54", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_55", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_56", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_57", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_58", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_59", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_60", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_61", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_62", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_63", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_64", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_65", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_66", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_67", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_68", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_69", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_70", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_71", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_72", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_73", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_74", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_75", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_76", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_77", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_78", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_79", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_80", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_81", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_82", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_83", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_84", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_85", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_86", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_87", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_88", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_89", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_90", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_91", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_92", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_93", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_94", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_95", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_96", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_97", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_98", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_99", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_100", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_101", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_102", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_103", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_104", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_105", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_106", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_107", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_108", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_109", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_110", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_111", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_112", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_113", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_114", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_115", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_116", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_117", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_118", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_119", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_120", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_121", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_122", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_123", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_124", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_125", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_126", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_127", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_128", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_129", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_130", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_131", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_132", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_133", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_134", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_135", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_136", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_137", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_138", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_139", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_140", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_141", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_142", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_143", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_144", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_145", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_146", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<float>("input_4_147", new DenseTensor<float>(zerof, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_0", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_1", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_2", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_3", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_4", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_5", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_6", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_7", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_8", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_9", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_10", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_11", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_12", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_13", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_14", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_15", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_16", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_17", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_18", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_19", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_20", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_21", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_22", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_23", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_24", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_25", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_26", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_27", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_28", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_29", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_30", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_31", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_32", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_33", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_34", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_35", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_36", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 NamedOnnxValue.CreateFromTensor<long>("input_5_37", new DenseTensor<long>(zerol, new int[] { 1 })),
+                 };
+
+            var result = session.Run(data);
+            Assert.NotNull(result);
+            Assert.Equal(1, result.Count);
+            var value = result.First<NamedOnnxValue>();
+            Assert.Equal("label", value.Name);
+            Assert.NotNull(value.AsTensor<long>());
+            Assert.Equal(1, value.AsTensor<long>().Length);
+        }
+
+
 
         static float[] LoadTensorFromFile(string filename)
         {
diff --git a/csharp/testdata/model_181031_12.onnx b/csharp/testdata/model_181031_12.onnx
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