word_cnn save training step works.

src/TensorFlowNET.Core/Train/Saving/Saver.cs

@@ -3,6 +3,7 @@ using System.Collections.Generic;
 using System.IO;
 using System.Linq;
 using System.Text;
+using static Tensorflow.Python;
 
 namespace Tensorflow
 {
@@ -144,26 +145,20 @@ namespace Tensorflow
 
         public string save(Session sess,
             string save_path,
-            string global_step = "",
+            int global_step = -1,
             string latest_filename = "",
             string meta_graph_suffix = "meta",
             bool write_meta_graph = true,
             bool write_state = true,
-            bool strip_default_attrs = false)
+            bool strip_default_attrs = false,
+            bool save_debug_info = false)
         {
             if (string.IsNullOrEmpty(latest_filename))
                 latest_filename = "checkpoint";
             string model_checkpoint_path = "";
             string checkpoint_file = "";
 
-            if (!string.IsNullOrEmpty(global_step))
-            {
-
-            }
-            else
-            {
-                checkpoint_file = save_path;
-            }
+            checkpoint_file = $"{save_path}-{global_step}";
 
             var save_path_parent = Path.GetDirectoryName(save_path);
 
@@ -189,6 +184,7 @@ namespace Tensorflow
             if (write_meta_graph)
             {
                 string meta_graph_filename = checkpoint_management.meta_graph_filename(checkpoint_file, meta_graph_suffix: meta_graph_suffix);
+                export_meta_graph(meta_graph_filename, strip_default_attrs: strip_default_attrs, save_debug_info: save_debug_info);
             }
 
             return _is_empty ? string.Empty : model_checkpoint_path;
@@ -244,10 +240,11 @@ namespace Tensorflow
         public MetaGraphDef export_meta_graph(string filename= "",
                         string[] collection_list = null,
                         string export_scope = "",
-                        bool as_text= false,
-                        bool clear_devices= false,
-                        bool clear_extraneous_savers= false,
-                        bool strip_default_attrs= false)
+                        bool as_text = false,
+                        bool clear_devices = false,
+                        bool clear_extraneous_savers = false,
+                        bool strip_default_attrs = false,
+                        bool save_debug_info = false)
         {
             return export_meta_graph(
                 filename: filename,

test/TensorFlowNET.Examples/TextProcess/CnnTextClassification.cs

@@ -26,14 +26,13 @@ namespace TensorFlowNET.Examples
         public string Name => "CNN Text Classification";
         public int? DataLimit = null;
         public bool ImportGraph { get; set; } = true;
-        public bool UseSubset = false; // <----- set this true to use a limited subset of dbpedia
 
-        private string dataDir = "text_classification";
+        private string dataDir = "word_cnn";
         private string dataFileName = "dbpedia_csv.tar.gz";
 
         private const string TRAIN_PATH = "text_classification/dbpedia_csv/train.csv";
         private const string TEST_PATH = "text_classification/dbpedia_csv/test.csv";
-
+        
         private const int NUM_CLASS = 14;
         private const int BATCH_SIZE = 64;
         private const int NUM_EPOCHS = 10;
@@ -41,6 +40,7 @@ namespace TensorFlowNET.Examples
         private const int CHAR_MAX_LEN = 1014;
         
         protected float loss_value = 0;
+        int vocabulary_size = 50000;
 
         public bool Run()
         {
@@ -63,10 +63,9 @@ namespace TensorFlowNET.Examples
             int[][] x = null;
             int[] y = null;
             int alphabet_size = 0;
-            int vocabulary_size = 0;
 
             var word_dict = DataHelpers.build_word_dict(TRAIN_PATH);
-            vocabulary_size = len(word_dict);
+            // vocabulary_size = len(word_dict);
             (x, y) = DataHelpers.build_word_dataset(TRAIN_PATH, word_dict, WORD_MAX_LEN);
 
             Console.WriteLine("\tDONE ");
@@ -142,7 +141,7 @@ namespace TensorFlowNET.Examples
                     if (valid_accuracy > max_accuracy)
                     {
                         max_accuracy = valid_accuracy;
-                        saver.save(sess, $"{dataDir}/word_cnn.ckpt", global_step: step.ToString());
+                        saver.save(sess, $"{dataDir}/word_cnn.ckpt", global_step: step);
                         print("Model is saved.\n");
                     }
                 }
@@ -218,18 +217,10 @@ namespace TensorFlowNET.Examples
 
         public void PrepareData()
         {
-            if (UseSubset)
-            {
-                var url = "https://raw.githubusercontent.com/SciSharp/TensorFlow.NET/master/data/dbpedia_subset.zip";
-                Web.Download(url, dataDir, "dbpedia_subset.zip");
-                Compress.UnZip(Path.Combine(dataDir, "dbpedia_subset.zip"), Path.Combine(dataDir, "dbpedia_csv"));
-            }
-            else
-            {
-                string url = "https://github.com/le-scientifique/torchDatasets/raw/master/dbpedia_csv.tar.gz";
-                Web.Download(url, dataDir, dataFileName);
-                Compress.ExtractTGZ(Path.Join(dataDir, dataFileName), dataDir);
-            }
+            // full dataset https://github.com/le-scientifique/torchDatasets/raw/master/dbpedia_csv.tar.gz
+            var url = "https://raw.githubusercontent.com/SciSharp/TensorFlow.NET/master/data/dbpedia_subset.zip";
+            Web.Download(url, dataDir, "dbpedia_subset.zip");
+            Compress.UnZip(Path.Combine(dataDir, "dbpedia_subset.zip"), Path.Combine(dataDir, "dbpedia_csv"));
 
             if (ImportGraph)
             {
@@ -242,7 +233,7 @@ namespace TensorFlowNET.Examples
                     Console.WriteLine("Discarding cached file: " + meta_path);
                     File.Delete(meta_path);
                 }
-                var url = "https://raw.githubusercontent.com/SciSharp/TensorFlow.NET/master/graph/" + meta_file;
+                url = "https://raw.githubusercontent.com/SciSharp/TensorFlow.NET/master/graph/" + meta_file;
                 Web.Download(url, "graph", meta_file);
             }
         }