Add TensorFlowDatasets project.

TensorFlow.NET.sln

@@ -17,7 +17,9 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "TensorFlowBenchmark", "src\
 EndProject
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "TensorFlowHub", "src\TensorFlowHub\TensorFlowHub.csproj", "{8FD59A5A-97EB-457E-B9F1-D88B0C822C6E}"
 EndProject
-Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "TensorFlowText", "src\TensorFlowText\TensorFlowText.csproj", "{B598E5D5-BD2D-4191-8532-F2FBAC31AB81}"
+Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "TensorFlowText", "src\TensorFlowText\TensorFlowText.csproj", "{B598E5D5-BD2D-4191-8532-F2FBAC31AB81}"
+EndProject
+Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "TensorFlowDatasets", "src\TensorFlowDatasets\TensorFlowDatasets.csproj", "{DF151A51-E9FD-41BD-B0F4-08A743755D44}"
 EndProject
 Global
 	GlobalSection(SolutionConfigurationPlatforms) = preSolution
@@ -57,6 +59,10 @@ Global
 		{B598E5D5-BD2D-4191-8532-F2FBAC31AB81}.Debug|Any CPU.Build.0 = Debug|Any CPU
 		{B598E5D5-BD2D-4191-8532-F2FBAC31AB81}.Release|Any CPU.ActiveCfg = Release|Any CPU
 		{B598E5D5-BD2D-4191-8532-F2FBAC31AB81}.Release|Any CPU.Build.0 = Release|Any CPU
+		{DF151A51-E9FD-41BD-B0F4-08A743755D44}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{DF151A51-E9FD-41BD-B0F4-08A743755D44}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{DF151A51-E9FD-41BD-B0F4-08A743755D44}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{DF151A51-E9FD-41BD-B0F4-08A743755D44}.Release|Any CPU.Build.0 = Release|Any CPU
 	EndGlobalSection
 	GlobalSection(SolutionProperties) = preSolution
 		HideSolutionNode = FALSE

src/TensorFlowDatasets/DatasetBuilder.cs

@@ -0,0 +1,24 @@
+using System;
+
+namespace TensorFlowDatasets
+{
+    /// <summary>
+    /// Abstract base class for all datasets.
+    /// </summary>
+    public class DatasetBuilder
+    {
+        /// <summary>
+        /// Downloads and prepares dataset for reading.
+        /// </summary>
+        /// <param name="download_dir">
+        /// directory where downloaded files are stored.
+        /// </param>
+        /// <param name="download_config">
+        /// further configuration for downloading and preparing dataset.
+        /// </param>
+        public void download_and_prepare(string download_dir = null, DownloadConfig download_config = null)
+        {
+
+        }
+    }
+}

src/TensorFlowDatasets/DownloadConfig.cs

@@ -0,0 +1,10 @@
+using System;
+using System.Collections.Generic;
+using System.Text;
+
+namespace TensorFlowDatasets
+{
+    public class DownloadConfig
+    {
+    }
+}

src/TensorFlowDatasets/TensorFlowDatasets.csproj

@@ -0,0 +1,19 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <TargetFramework>netcoreapp2.2</TargetFramework>
+    <PackageId>SciSharp.TensorFlowDatasets</PackageId>
+    <Version>0.0.1</Version>
+    <Authors>SciSharp Team</Authors>
+    <Product>TensorFlow Datasets</Product>
+    <GeneratePackageOnBuild>true</GeneratePackageOnBuild>
+    <PackageIconUrl>https://avatars3.githubusercontent.com/u/44989469?s=200&amp;v=4</PackageIconUrl>
+    <PackageProjectUrl>http://scisharpstack.org</PackageProjectUrl>
+    <Description>TensorFlow Datasets provides many public datasets as tf.data.Datasets.</Description>
+    <RepositoryUrl>https://github.com/SciSharp/TensorFlow.NET</RepositoryUrl>
+    <RepositoryType>git</RepositoryType>
+    <PackageTags>SciSharp, Dataset, TensorFlow</PackageTags>
+    <Copyright>Apache 2.0</Copyright>
+  </PropertyGroup>
+
+</Project>

test/TensorFlowNET.Examples/ImageProcessing/CIFAR10-CNN.cs

@@ -0,0 +1,74 @@
+/*****************************************************************************
+   Copyright 2018 The TensorFlow.NET Authors. 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 System;
+using System.Collections.Generic;
+using System.Text;
+using Tensorflow;
+using TensorFlowDatasets;
+using static Tensorflow.Python;
+
+namespace TensorFlowNET.Examples
+{
+    /// <summary>
+    /// https://www.tensorflow.org/tutorials/images/deep_cnn
+    /// </summary>
+    public class CIFAR10_CNN : IExample
+    {
+        public bool Enabled { get; set; } = true;
+        public bool IsImportingGraph { get; set; } = false;
+
+        public string Name => "CIFAR-10 CNN";
+
+        public bool Run()
+        {
+            PrepareData();
+
+            return true;
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public void Predict(Session sess)
+        {
+            throw new NotImplementedException();
+        }
+
+        public void PrepareData()
+        {
+            var tfds = new DatasetBuilder();
+            tfds.download_and_prepare();
+        }
+
+        public void Test(Session sess)
+        {
+            throw new NotImplementedException();
+        }
+
+        public void Train(Session sess)
+        {
+            throw new NotImplementedException();
+        }
+    }
+}

test/TensorFlowNET.Examples/ImageProcessing/DigitRecognitionCNN.cs

@@ -21,7 +21,7 @@ using Tensorflow;
 using Tensorflow.Hub;
 using static Tensorflow.Python;
 
-namespace TensorFlowNET.Examples.ImageProcess
+namespace TensorFlowNET.Examples
 {
     /// <summary>
     /// Convolutional Neural Network classifier for Hand Written Digits

test/TensorFlowNET.Examples/ImageProcessing/DigitRecognitionNN.cs

@@ -20,7 +20,7 @@ using Tensorflow;
 using Tensorflow.Hub;
 using static Tensorflow.Python;
 
-namespace TensorFlowNET.Examples.ImageProcess
+namespace TensorFlowNET.Examples
 {
     /// <summary>
     /// Neural Network classifier for Hand Written Digits

test/TensorFlowNET.Examples/ImageProcessing/DigitRecognitionRNN.cs

@@ -20,7 +20,7 @@ using Tensorflow;
 using Tensorflow.Hub;
 using static Tensorflow.Python;
 
-namespace TensorFlowNET.Examples.ImageProcess
+namespace TensorFlowNET.Examples
 {
     /// <summary>
     /// Recurrent Neural Network for handwritten digits MNIST.

test/TensorFlowNET.Examples/ImageProcessing/ImageBackgroundRemoval.cs

@@ -4,7 +4,7 @@ using Tensorflow;
 using TensorFlowNET.Examples.Utility;
 using static Tensorflow.Python;
 
-namespace TensorFlowNET.Examples.ImageProcess
+namespace TensorFlowNET.Examples
 {
     /// <summary>
     /// This example removes the background from an input image.

test/TensorFlowNET.Examples/ImageProcessing/RetrainImageClassifier.cs

@@ -25,7 +25,7 @@ using Tensorflow;
 using TensorFlowNET.Examples.Utility;
 using static Tensorflow.Python;
 
-namespace TensorFlowNET.Examples.ImageProcess
+namespace TensorFlowNET.Examples
 {
     /// <summary>
     /// In this tutorial, we will reuse the feature extraction capabilities from powerful image classifiers trained on ImageNet 

test/TensorFlowNET.Examples/TensorFlowNET.Examples.csproj

@@ -16,6 +16,7 @@
 
   <ItemGroup>
     <ProjectReference Include="..\..\src\KerasNET.Core\Keras.Core.csproj" />
+    <ProjectReference Include="..\..\src\TensorFlowDatasets\TensorFlowDatasets.csproj" />
     <ProjectReference Include="..\..\src\TensorFlowNET.Core\TensorFlowNET.Core.csproj" />
     <ProjectReference Include="..\..\src\TensorFlowText\TensorFlowText.csproj" />
     <ProjectReference Include="..\..\src\TensorFlowHub\TensorFlowHub.csproj" />