Add tf.print().

src/TensorFlowNET.Core/APIs/tf.debugging.cs

@@ -15,6 +15,7 @@
 ******************************************************************************/
 
 using Tensorflow.Debugging;
+using static Tensorflow.Binding;
 
 namespace Tensorflow
 {
@@ -27,5 +28,8 @@ namespace Tensorflow
         /// https://developer.ibm.com/technologies/artificial-intelligence/tutorials/debug-tensorflow/
         /// </summary>
         public DebugImpl debugging => new DebugImpl();
+
+        public void print(Tensor input)
+            => tf.logging.print_v2(input);
     }
 }

src/TensorFlowNET.Core/APIs/tf.logging.cs

@@ -0,0 +1,23 @@
+/*****************************************************************************
+   Copyright 2021 Haiping Chen. All Rights Reserved.
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+******************************************************************************/
+
+namespace Tensorflow
+{
+    public partial class tensorflow
+    {
+        public logging_ops logging => new logging_ops();
+    }
+}

src/TensorFlowNET.Core/APIs/tf.strings.cs

@@ -14,7 +14,7 @@
    limitations under the License.
 ******************************************************************************/
 
-using Tensorflow.Framework;
+using static Tensorflow.Binding;
 
 namespace Tensorflow
 {
@@ -77,6 +77,9 @@ namespace Tensorflow
             public Tensor string_length(Tensor input, string name = null, string unit = "BYTE")
                 => ops.string_length(input, name: name, unit: unit);
 
+            public Tensor format(string template, Tensor[] inputs, string placeholder = "{}", int summarize = 3, string name = null)
+                => ops.string_format(inputs, template: template, placeholder: placeholder, summarize: summarize, name: name);
+
             public RaggedTensor split(Tensor input, string sep = "", int maxsplit = -1, string name = null)
                 => ops.string_split_v2(input, sep: sep, maxsplit : maxsplit, name : name);
 

src/TensorFlowNET.Core/Contexts/Context.ExecuteOp.cs

@@ -52,10 +52,11 @@ namespace Tensorflow.Contexts
 
             Func<Tensors> eagerAction = () =>
             {
-                return tf.Runner.TFE_FastPathExecute(new FastPathOpExecInfo(OpType, Name, args.OpInputArgs)
+                var opExecInfo = new FastPathOpExecInfo(OpType, Name, args.OpInputArgs)
                 {
                     attrs = args.OpAttrs
-                });
+                };
+                return tf.Runner.TFE_FastPathExecute(opExecInfo);
             };
 
             if (tf.Context.has_graph_arg(args.OpInputArgs))

src/TensorFlowNET.Core/Operations/logging_ops.cs

@@ -0,0 +1,36 @@
+/*****************************************************************************
+   Copyright 2021 Haiping Chen. All Rights Reserved.
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+******************************************************************************/
+
+using Tensorflow.Contexts;
+using static Tensorflow.Binding;
+
+namespace Tensorflow
+{
+    public class logging_ops
+    {
+        public Tensor print_v2(Tensor input, string output_stream = "stderr", string end = "\n", string name = null)
+        {
+            var formatted_string = tf.strings.format("{}",
+                    new[] { input },
+                    placeholder: "{}",
+                    summarize: 3,
+                    name: name);
+
+            return tf.Context.ExecuteOp("PrintV2", name, new ExecuteOpArgs(formatted_string)
+               .SetAttributes(new { output_stream, end }));
+        }
+    }
+}

src/TensorFlowNET.Core/Operations/string_ops.cs

@@ -60,6 +60,19 @@ namespace Tensorflow
                 }
             }.SetAttributes(new { unit }));
 
+        public Tensor string_format(Tensor[] inputs, string template = "%s", string placeholder = "%s", int summarize = 3, string name = null)
+            => tf.Context.ExecuteOp("StringFormat", name, new ExecuteOpArgs()
+            {
+                OpInputArgs = new object[] { inputs },
+                GetGradientAttrs = op => new
+                {
+                    T = op.get_attr<TF_DataType>("T"),
+                    template = op.get_attr<string>("template"),
+                    placeholder = op.get_attr<string>("placeholder"),
+                    summarize = op.get_attr<int>("summarize")
+                }
+            }.SetAttributes(new { template, placeholder, summarize }));
+
         public RaggedTensor string_split_v2(Tensor input, string sep = "", int maxsplit = -1, string name = null)
         {
             return tf_with(ops.name_scope(name, "StringSplit"), scope =>

test/TensorFlowNET.UnitTest/ManagedAPI/LoggingTest.cs

@@ -0,0 +1,16 @@
+using Microsoft.VisualStudio.TestTools.UnitTesting;
+using static Tensorflow.Binding;
+
+namespace TensorFlowNET.UnitTest.ManagedAPI
+{
+    [TestClass]
+    public class LoggingTest
+    {
+        [TestMethod]
+        public void PrintTest()
+        {
+            var tensor = tf.range(10);
+            tf.print(tensor);
+        }
+    }
+}