Tensorflow fix

src/Microsoft.ML.TensorFlow/TensorflowTransform.cs

@@ -509,7 +509,18 @@ public Mapper(TensorFlowTransformer parent, DataViewSchema inputSchema) :
                     var shape = originalShape.dims;
 
                     if (shape == null || (shape.Length == 0))
-                        _fullySpecifiedShapes[i] = new TensorShape();
+                    {
+                        // for vector type input TensorShape should same to dim
+                        if (_isInputVector[i])
+                        {
+                            vecType = (VectorDataViewType)type;
+                            var colTypeDims = vecType.Dimensions.Select(dim => (int)dim).ToArray();
+                            _fullySpecifiedShapes[i] = new TensorShape(colTypeDims);
+                        }
+                        else
+                            // for primitive type use default TensorShape
+                            _fullySpecifiedShapes[i] = new TensorShape();
+                    }
                     else
                     {
                         vecType = (VectorDataViewType)type;

src/Microsoft.ML.TensorFlow/TensorflowUtils.cs

@@ -52,13 +52,6 @@ internal static DataViewSchema GetModelSchema(IExceptionContext ectx, Graph grap
                 if (mlType == null || op.NumOutputs <= 0)
                     continue;
 
-                // Construct the final ML.NET type of a Tensorflow variable.
-                var tensorShape = op.output.TensorShape.dims;
-                var columnType = new VectorDataViewType(mlType);
-                if (!(Utils.Size(tensorShape) == 1 && tensorShape[0] <= 0) &&
-                    (Utils.Size(tensorShape) > 0 && tensorShape.Skip(1).All(x => x > 0)))
-                    columnType = new VectorDataViewType(mlType, tensorShape[0] > 0 ? tensorShape : tensorShape.Skip(1).ToArray());
-
                 // There can be at most two metadata fields.
                 //  1. The first field always presents. Its value is this operator's type. For example,
                 //     if an output is produced by an "Softmax" operator, the value of this field should be "Softmax".
@@ -83,7 +76,24 @@ internal static DataViewSchema GetModelSchema(IExceptionContext ectx, Graph grap
                         (ref VBuffer<ReadOnlyMemory<char>> value) => { upstreamOperatorNames.CopyTo(ref value); });
                 }
 
-                schemaBuilder.AddColumn(op.name, columnType, metadataBuilder.ToAnnotations());
+                // Construct the final ML.NET type of a Tensorflow variable.
+                var tensorShape = op.output.TensorShape.dims;
+
+                if(tensorShape == null)
+                {
+                    // primitive column type
+                    schemaBuilder.AddColumn(op.name, mlType, metadataBuilder.ToAnnotations());
+                }
+                else
+                {
+                    // vector column type
+                    DataViewType columnType = new VectorDataViewType(mlType);
+                    if (!(Utils.Size(tensorShape) == 1 && tensorShape[0] <= 0) &&
+                        (Utils.Size(tensorShape) > 0 && tensorShape.Skip(1).All(x => x > 0)))
+                        columnType = new VectorDataViewType(mlType, tensorShape[0] > 0 ? tensorShape : tensorShape.Skip(1).ToArray());
+
+                    schemaBuilder.AddColumn(op.name, columnType, metadataBuilder.ToAnnotations());
+                }
             }
             return schemaBuilder.ToSchema();
         }

test/Microsoft.ML.Tests/ScenariosWithDirectInstantiation/TensorflowTests.cs

@@ -1262,10 +1262,10 @@ class TextOutput
 
         class PrimitiveInput
         {
-            [LoadColumn(0, 1)]
+            [LoadColumn(0)]
             public string input1;
 
-            [LoadColumn(1, 2)]
+            [LoadColumn(1)]
             public string input2;
         }
 
@@ -1305,8 +1305,10 @@ public void TensorFlowPrimitiveInputTest()
         {
             using var tensorFlowModel = _mlContext.Model.LoadTensorFlowModel(@"model_primitive_input_test");
             var schema = tensorFlowModel.GetModelSchema();
-            Assert.True(schema.TryGetColumnIndex("input1", out var colIndex));
-            Assert.True(schema.TryGetColumnIndex("input2", out colIndex));
+            Assert.True(schema.GetColumnOrNull("input1").HasValue);
+            Assert.True(schema.GetColumnOrNull("input1").Value.Type is TextDataViewType);
+            Assert.True(schema.GetColumnOrNull("input2").HasValue);
+            Assert.True(schema.GetColumnOrNull("input2").Value.Type is TextDataViewType);
 
             var dataview = _mlContext.Data.CreateTextLoader<PrimitiveInput>().Load(new MultiFileSource(null));