Add RepeatDataSetCrash test.

src/TensorFlowNET.Core/Data/DatasetV2.cs

@@ -25,6 +25,8 @@ namespace Tensorflow
 
         public TensorSpec[] element_spec => structure;
 
+        public int length => cardinality().numpy();
+
         public IDatasetV2 cache(string filename = "")
             => new CacheDataset(this, filename: filename);
 
@@ -136,7 +138,9 @@ namespace Tensorflow
             => tf.Context.ExecuteOp("DatasetCardinality", name, new ExecuteOpArgs(variant_tensor));
 
         public override string ToString()
-            => $"{GetType().Name} shapes: {string.Join(", ", structure.Select(x => x.shape))}, types: {string.Join(", ", structure.Select(x => "tf." + x.dtype.as_numpy_name()))}";
+            => $"{GetType().Name} shapes: {string.Join(", ", structure.Select(x => x.shape))}, " +
+            $"types: {string.Join(", ", structure.Select(x => "tf." + x.dtype.as_numpy_name()))}, " +
+            $"len: {length}";
 
         public IEnumerator<(Tensor, Tensor)> GetEnumerator()
         {

src/TensorFlowNET.Keras/Engine/Layer.cs

@@ -158,7 +158,7 @@ namespace Tensorflow.Keras.Engine
         /// <returns></returns>
         protected virtual Tensors Call(Tensors inputs, Tensor state = null, bool? training = null)
         {
-            throw new NotImplementedException("");
+            return inputs;
         }
 
         protected virtual string _name_scope()

src/TensorFlowNET.Keras/Engine/Model.cs

@@ -57,15 +57,15 @@ namespace Tensorflow.Keras.Engine
 
         void _init_batch_counters()
         {
-            _train_counter = tf.Variable(0,
+            _train_counter = tf.Variable(0L,
                 dtype: TF_DataType.TF_INT64,
                 aggregation: VariableAggregation.OnlyFirstReplica);
 
-            _test_counter = tf.Variable(0,
+            _test_counter = tf.Variable(0L,
                 dtype: TF_DataType.TF_INT64,
                 aggregation: VariableAggregation.OnlyFirstReplica);
 
-            _predict_counter = tf.Variable(0,
+            _predict_counter = tf.Variable(0L,
                 dtype: TF_DataType.TF_INT64,
                 aggregation: VariableAggregation.OnlyFirstReplica);
         }

src/TensorFlowNET.Keras/Utils/Compress.cs

@@ -53,6 +53,9 @@ namespace Tensorflow.Keras.Utils
             var flag = gzArchiveName.Split(Path.DirectorySeparatorChar).Last().Split('.').First() + ".bin";
             if (File.Exists(Path.Combine(destFolder, flag))) return;
 
+            var destFileName = gzArchiveName.Replace(".zip", string.Empty);
+            if (File.Exists(destFileName)) return;
+
             Binding.tf_output_redirect.WriteLine($"Extracting.");
             var task = Task.Run(() =>
             {

src/TensorFlowNet.Benchmarks/Crash/RepeatDataSetCrash.cs

@@ -0,0 +1,28 @@
+using BenchmarkDotNet.Attributes;
+using System;
+using System.Collections.Generic;
+using NumSharp;
+using static Tensorflow.Binding;
+using static Tensorflow.KerasApi;
+
+namespace Tensorflow.Benchmark.Crash
+{
+    public class RepeatDataSetCrash
+    {
+        [Benchmark]
+        public void Run()
+        {
+            var data = tf.convert_to_tensor(np.arange(0, 50000 * 10).astype(np.float32).reshape(50000, 10));
+
+            var dataset = keras.preprocessing.timeseries_dataset_from_array(data,
+                sequence_length: 10,
+                sequence_stride: 1,
+                shuffle: false,
+                batch_size: 32);
+
+            while (true)
+                foreach (var d in dataset)
+                    ;
+        }
+    }
+}

src/TensorFlowNet.Benchmarks/Program.cs

@@ -2,7 +2,9 @@
 using BenchmarkDotNet.Running;
 using System;
 using System.Reflection;
+using Tensorflow.Benchmark.Crash;
 using Tensorflow.Benchmark.Leak;
+using static Tensorflow.Binding;
 
 namespace TensorFlowBenchmark
 {
@@ -10,6 +12,8 @@ namespace TensorFlowBenchmark
     {
         static void Main(string[] args)
         {
+            print(tf.VERSION);
+            new RepeatDataSetCrash().Run();
             new GpuLeakByCNN().Run();
 
             if (args?.Length > 0)

src/TensorFlowNet.Benchmarks/Tensorflow.Benchmark.csproj

@@ -14,6 +14,7 @@
 
   <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">
     <AllowUnsafeBlocks>true</AllowUnsafeBlocks>
+    <DefineConstants>DEBUG;TRACE</DefineConstants>
   </PropertyGroup>
 
   <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|AnyCPU'">
@@ -35,8 +36,8 @@
   </ItemGroup>
 
   <ItemGroup>
-    <PackageReference Include="BenchmarkDotNet" Version="0.12.1" />
-    <PackageReference Include="SciSharp.TensorFlow.Redist-Windows-GPU" Version="2.5.0" />
+    <PackageReference Include="BenchmarkDotNet" Version="0.13.0" />
+    <PackageReference Include="SciSharp.TensorFlow.Redist" Version="2.5.0" />
   </ItemGroup>
 
   <ItemGroup>