tensor_util.to_numpy_string

src/TensorFlowNET.Core/Eager/EagerTensor.ToString.cs

@@ -10,36 +10,6 @@ namespace Tensorflow.Eager
     public partial class EagerTensor
     {
         public override string ToString()
-        {
-            switch (rank)
-            {
-                case -1:
-                    return $"tf.Tensor: shape={TensorShape}, dtype={dtype.as_numpy_name()}, numpy={GetFormattedString(dtype, numpy())}";
-                case 0:
-                    return $"tf.Tensor: shape={TensorShape}, dtype={dtype.as_numpy_name()}, numpy={GetFormattedString(dtype, numpy())}";
-                default:
-                    return $"tf.Tensor: shape={TensorShape}, dtype={dtype.as_numpy_name()}, numpy={GetFormattedString(dtype, numpy())}";
-            }
-        }
-
-        public static string GetFormattedString(TF_DataType dtype, NDArray nd)
-        {
-            if (nd.size == 0)
-                return "[]";
-
-            switch (dtype)
-            {
-                case TF_DataType.TF_STRING:
-                    return string.Join(string.Empty, nd.ToArray<byte>()
-                        .Select(x => x < 32 || x > 127 ? "\\x" + x.ToString("x") : Convert.ToChar(x).ToString()));
-                case TF_DataType.TF_BOOL:
-                    return (nd.GetByte(0) > 0).ToString();
-                case TF_DataType.TF_VARIANT:
-                case TF_DataType.TF_RESOURCE:
-                    return "<unprintable>";
-                default:
-                    return nd.ToString();
-            }
-        }
+            => $"tf.Tensor: shape={TensorShape}, dtype={dtype.as_numpy_name()}, numpy={tensor_util.to_numpy_string(this)}";
     }
 }

src/TensorFlowNET.Core/Tensors/tensor_util.cs

@@ -349,5 +349,34 @@ namespace Tensorflow
         {
             return ops.convert_to_tensor(shape, dtype: TF_DataType.TF_INT32, name: "shape");
         }
+
+        public static string to_numpy_string(Tensor tensor)
+        {
+            var dtype = tensor.dtype;
+
+            if(dtype == TF_DataType.TF_STRING && tensor.NDims > 0)
+            {
+                return $"['{string.Join("', '", tensor.StringData())}']";
+            }
+
+            var nd = tensor.numpy();
+
+            if (nd.size == 0)
+                return "[]";
+
+            switch (dtype)
+            {
+                case TF_DataType.TF_STRING:
+                    return string.Join(string.Empty, nd.ToArray<byte>()
+                        .Select(x => x < 32 || x > 127 ? "\\x" + x.ToString("x") : Convert.ToChar(x).ToString()));
+                case TF_DataType.TF_BOOL:
+                    return (nd.GetByte(0) > 0).ToString();
+                case TF_DataType.TF_VARIANT:
+                case TF_DataType.TF_RESOURCE:
+                    return "<unprintable>";
+                default:
+                    return nd.ToString();
+            }
+        }
     }
 }

src/TensorFlowNET.Core/Variables/BaseResourceVariable.cs

@@ -137,7 +137,7 @@ namespace Tensorflow
         public override string ToString()
         {
             if (tf.context.executing_eagerly())
-                return $"tf.Variable: '{Name}' shape={string.Join(",", shape)}, dtype={dtype.as_numpy_name()}, numpy={EagerTensor.GetFormattedString(dtype, numpy())}";
+                return $"tf.Variable: '{Name}' shape={string.Join(",", shape)}, dtype={dtype.as_numpy_name()}, numpy={tensor_util.to_numpy_string(read_value())}";
             else
                 return $"tf.Variable: '{Name}' shape={string.Join(",", shape)}, dtype={dtype.as_numpy_name()}";
         }

test/TensorFlowNET.UnitTest/TF_API/StringsApiTest.cs

@@ -53,7 +53,6 @@ namespace Tensorflow.UnitTest.TF_API
         {
             var strings = new[] { "map_and_batch_fusion", "noop_elimination", "shuffle_and_repeat_fusion" };
             var tensor = tf.constant(strings, dtype: tf.@string, name: "optimizations");
-            tensor.ToString();
             var stringData = tensor.StringData();
 
             Assert.AreEqual(3, tensor.shape[0]);