fix name issue in internal_convert_to_tensor._autopacking_helper

src/TensorFlowNET.Core/Clustering/KMeans.cs

@@ -79,9 +79,8 @@ namespace Tensorflow.Clustering
             else
             {
                 var cluster_centers_updated = cluster_centers;
-                var cluster_counts = _use_mini_batch ?
-                    tf.Variable(array_ops.ones(new Tensor[] { num_clusters }, dtype: TF_DataType.TF_INT64)) : 
-                    null;
+                var ones = array_ops.ones(new Tensor[] { num_clusters }, dtype: TF_DataType.TF_INT64);
+                var cluster_counts = _use_mini_batch ? tf.Variable(ones) : null;
                 return new RefVariable[]
                 {
                     cluster_centers,

src/TensorFlowNET.Core/Operations/array_ops.py.cs

@@ -32,6 +32,11 @@ namespace Tensorflow
             });
         }
 
+        private static Tensor _constant_if_small(int value, Tensor shape)
+        {
+            return shape < 1000;
+        }
+
         private static Tensor _constant_if_small<T>(T value, Shape shape, TF_DataType dtype, string name)
         {
             Tensor tShape = null;
@@ -167,8 +172,9 @@ namespace Tensorflow
             return with(ops.name_scope(name, "ones", new { shape }), scope =>
             {
                 name = scope;
+                var output = _constant_if_small(1, shape[0]);
                 var shape1 = ops.convert_to_tensor(shape, dtype: TF_DataType.TF_INT32);
-                var output = gen_array_ops.fill(shape1, constant_op.constant(1, dtype: dtype), name: name);
+                output = gen_array_ops.fill(shape1, constant_op.constant(1, dtype: dtype), name: name);
                 return output;
             });
         }

src/TensorFlowNET.Core/ops.py.cs

@@ -425,7 +425,7 @@ namespace Tensorflow
                 case Tensor tensor:
                     return tensor;
                 case Tensor[] tensors:
-                    return array_ops._autopacking_helper(tensors, dtype, name);
+                    return array_ops._autopacking_helper(tensors, dtype, name == null ? "packed" : name);
                 case RefVariable varVal:
                     return varVal._TensorConversionFunction(as_ref: as_ref);
                 case object[] objects: