move dataset to core.

README.md

@@ -4,12 +4,13 @@
 
 [![Join the chat at https://gitter.im/publiclab/publiclab](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/sci-sharp/community)
 [![Tensorflow.NET](https://ci.appveyor.com/api/projects/status/wx4td43v2d3f2xj6?svg=true)](https://ci.appveyor.com/project/Haiping-Chen/tensorflow-net)
-[![codecov](https://codecov.io/gh/SciSharp/NumSharp/branch/master/graph/badge.svg)](https://codecov.io/gh/SciSharp/NumSharp)
 [![NuGet](https://img.shields.io/nuget/dt/TensorFlow.NET.svg)](https://www.nuget.org/packages/TensorFlow.NET)
 [![Documentation Status](https://readthedocs.org/projects/tensorflownet/badge/?version=latest)](https://tensorflownet.readthedocs.io/en/latest/?badge=latest)
 [![Badge](https://img.shields.io/badge/link-996.icu-red.svg)](https://996.icu/#/en_US)
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/javiercp/BinderTF.NET/master?urlpath=lab)
 
+*master branch is based on tensorflow 2.1 now, v0.15-tensorflow1.15 is from tensorflow1.15.*
+
 TF.NET is a member project of [SciSharp STACK](https://github.com/SciSharp).
 
 
@@ -29,10 +30,9 @@ In comparison to other projects, like for instance TensorFlowSharp which only pr
 
 | TensorFlow  | tf 1.13 | tf 1.14 | tf 1.15 | tf 2.0 |
 | ----------- | ------- | ------- | ------- | ------ |
-| tf.net 0.14 |         | x       | x       |        |
-| tf.net 0.13 |         | x       | x       |        |
-| tf.net 0.12 | x       | x       |         |        |
-| tf.net 0.11 | x       | x       |         |        |
+| tf.net 0.20 |         |         | x       | x      |
+| tf.net 0.15 |         | x       | x       |        |
+| tf.net 0.14 | x       | x       |         |        |
 
 Install TF.NET and TensorFlow binary through NuGet.
 ```sh

src/TensorFlowNET.Hub/DataSetBase.cs → src/TensorFlowNET.Core/Data/DataSetBase.cs

@@ -3,7 +3,7 @@ using System.Collections.Generic;
 using System.Text;
 using NumSharp;
 
-namespace Tensorflow.Hub
+namespace Tensorflow
 {
     public abstract class DataSetBase : IDataSet
     {

src/TensorFlowNET.Core/Data/DatasetV1.cs

@@ -1,6 +0,0 @@
-namespace Tensorflow.Data
-{
-    public class DatasetV1 : DatasetV2
-    {
-    }
-}

src/TensorFlowNET.Core/Data/DatasetV1Adapter.cs

@@ -1,9 +0,0 @@
-namespace Tensorflow.Data
-{
-    /// <summary>
-    /// Wraps a V2 `Dataset` object in the `tf.compat.v1.data.Dataset` API.
-    /// </summary>
-    public class DatasetV1Adapter : DatasetV1
-    {
-    }
-}

src/TensorFlowNET.Core/Data/DatasetV2.cs

@@ -1,21 +0,0 @@
-using System;
-
-namespace Tensorflow.Data
-{
-    /// <summary>
-    /// Represents a potentially large set of elements.
-    /// 
-    /// A `Dataset` can be used to represent an input pipeline as a
-    /// collection of elements (nested structures of tensors) and a "logical
-    /// plan" of transformations that act on those elements.
-    /// 
-    /// tensorflow\python\data\ops\dataset_ops.py
-    /// </summary>
-    public class DatasetV2
-    {
-        public static DatasetV2 from_generator()
-        {
-            throw new NotImplementedException("");
-        }
-    }
-}

src/TensorFlowNET.Hub/Datasets.cs → src/TensorFlowNET.Core/Data/Datasets.cs

@@ -3,7 +3,7 @@ using System.Collections.Generic;
 using System.Text;
 using NumSharp;
 
-namespace Tensorflow.Hub
+namespace Tensorflow
 {
     public class Datasets<TDataSet> where TDataSet : IDataSet
     {

src/TensorFlowNET.Hub/IDataSet.cs → src/TensorFlowNET.Core/Data/IDataSet.cs

@@ -3,7 +3,7 @@ using System.Collections.Generic;
 using System.Text;
 using NumSharp;
 
-namespace Tensorflow.Hub
+namespace Tensorflow
 {
     public interface IDataSet
     {

src/TensorFlowNET.Hub/IModelLoader.cs → src/TensorFlowNET.Core/Data/IModelLoader.cs

@@ -4,7 +4,7 @@ using System.Collections.Generic;
 using System.Text;
 using NumSharp;
 
-namespace Tensorflow.Hub
+namespace Tensorflow
 {
     public interface IModelLoader<TDataSet>
         where TDataSet : IDataSet

src/TensorFlowNET.Hub/MnistDataSet.cs → src/TensorFlowNET.Core/Data/MnistDataSet.cs

@@ -3,9 +3,8 @@ using System.Collections.Generic;
 using System.Diagnostics;
 using System.Text;
 using NumSharp;
-using Tensorflow;
 
-namespace Tensorflow.Hub
+namespace Tensorflow
 {
     public class MnistDataSet : DataSetBase
     {

src/TensorFlowNET.Hub/MnistModelLoader.cs → src/TensorFlowNET.Core/Data/MnistModelLoader.cs

@@ -5,7 +5,7 @@ using System.Text;
 using System.IO;
 using NumSharp;
 
-namespace Tensorflow.Hub
+namespace Tensorflow
 {
     public class MnistModelLoader : IModelLoader<MnistDataSet>
     {

src/TensorFlowNET.Hub/ModelLoadSetting.cs → src/TensorFlowNET.Core/Data/ModelLoadSetting.cs

@@ -3,7 +3,7 @@ using System.Collections.Generic;
 using System.Text;
 using NumSharp;
 
-namespace Tensorflow.Hub
+namespace Tensorflow
 {
     public class ModelLoadSetting
     {

src/TensorFlowNET.Hub/Utils.cs → src/TensorFlowNET.Core/Data/Utils.cs

@@ -7,7 +7,7 @@ using System.Text;
 using System.Threading;
 using System.Threading.Tasks;
 
-namespace Tensorflow.Hub
+namespace Tensorflow
 {
     public static class Utils
     {

src/TensorFlowNET.Core/TensorFlow.Binding.csproj

@@ -5,7 +5,7 @@
     <AssemblyName>TensorFlow.NET</AssemblyName>
     <RootNamespace>Tensorflow</RootNamespace>
     <TargetTensorFlow>1.14.1</TargetTensorFlow>
-    <Version>0.15.0</Version>
+    <Version>0.20.0</Version>
     <Authors>Haiping Chen, Meinrad Recheis, Eli Belash</Authors>
     <Company>SciSharp STACK</Company>
     <GeneratePackageOnBuild>true</GeneratePackageOnBuild>
@@ -18,15 +18,15 @@
     <Description>Google's TensorFlow full binding in .NET Standard.
 Building, training and infering deep learning models.
 https://tensorflownet.readthedocs.io</Description>
-    <AssemblyVersion>0.15.0.0</AssemblyVersion>
-    <PackageReleaseNotes>Changes since v0.14.0:
+    <AssemblyVersion>0.20.0.0</AssemblyVersion>
+    <PackageReleaseNotes>Changes since v0.15.0:
 1: Add TransformGraphWithStringInputs.
 2: tf.trainer.load_graph, tf.trainer.freeze_graph
 3: Import Protobuf.Text
 4: Support YOLOv3 object detection
 5: Add implicitation for Operation to RefVariable</PackageReleaseNotes>
     <LangVersion>7.3</LangVersion>
-    <FileVersion>0.15.0.0</FileVersion>
+    <FileVersion>0.20.0.0</FileVersion>
     <PackageLicenseFile>LICENSE</PackageLicenseFile>
     <PackageRequireLicenseAcceptance>true</PackageRequireLicenseAcceptance>
     <SignAssembly>true</SignAssembly>

src/TensorFlowNET.Keras/Engine/BasePreprocessingLayer.cs

@@ -3,14 +3,12 @@ using NumSharp;
 using System;
 using System.Collections.Generic;
 using System.Text;
-using Tensorflow.Data;
 using Tensorflow.Keras.Initializers;
 
 namespace Tensorflow.Keras.Engine
 {
     public abstract class PreprocessingLayer : Layer
     {
-        public abstract void adapt(Data.DatasetV1 data, bool reset_state = true);
     }
 
     public abstract class Combiner
@@ -44,15 +42,6 @@ namespace Tensorflow.Keras.Engine
 
         private Dictionary<string, NDArray> _restore_updates() => throw new NotImplementedException();
 
-        private bool _dataset_is_infinite(DatasetV1 dataset) => throw new NotImplementedException();
-
-        private dynamic _get_dataset_iterator(DatasetV1 dataset) => throw new NotImplementedException();
-
         private void _set_state_variables(Dictionary<string, Tensor> updates) => throw new NotImplementedException();
-
-        public override void adapt(DatasetV1 data, bool reset_state = true)
-        {
-            throw new NotImplementedException();
-        }
     }
 }

src/TensorFlowNet.Benchmarks/Tensorflow.Benchmark.csproj

@@ -2,7 +2,7 @@
 
   <PropertyGroup>
     <OutputType>Exe</OutputType>
-    <TargetFramework>netcoreapp2.2</TargetFramework>
+    <TargetFramework>netcoreapp3.1</TargetFramework>
   </PropertyGroup>
 
   <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|AnyCPU'">
@@ -20,7 +20,7 @@
   <ItemGroup>
     <PackageReference Include="BenchmarkDotNet" Version="0.12.0" />
     <PackageReference Include="SciSharp.TensorFlow.Redist" Version="1.15.1" />
-    <PackageReference Include="TensorFlow.NET" Version="0.14.2" />
+    <PackageReference Include="TensorFlow.NET" Version="0.15.0" />
   </ItemGroup>
 
 </Project>

tensorflowlib/README.md

@@ -18,40 +18,34 @@ sudo apt install libgdiplus
 
 More information about [System.Drawing on Linux](<https://www.hanselman.com/blog/HowDoYouUseSystemDrawingInNETCore.aspx>).
 
-### Run TensorFlow in GPU
+### Run TensorFlow with GPU
 Before running verify you installed  CUDA and cuDNN (TensorFlow v1.15 is compatible with CUDA v10.0 and cuDNN v7.4 , TensorFlow v2.x is compatible with CUDA v10.2 and cuDNN v7.65), and make sure the corresponding cuda version is compatible. 
 
-#### Run in Mac OS
+#### Mac OS
 There is no GPU support for macOS.
 
-#### Tensorflow GPU for Windows
+#### GPU for Windows
 
 ```powershell
 PM> Install-Package SciSharp.TensorFlow.Redist-Windows-GPU
 ```
 
-#### Tensorflow GPU for Linux
+#### GPU for Linux
 ```powershell
 PM> Install-Package SciSharp.TensorFlow.Redist-Linux-GPU
 ```
 
 ### Download prebuild binary manually
 
-Here are some pre-built TensorFlow binaries you can use for each platform:
-
-- Linux
-  - CPU-only: https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-linux-x86_64-1.15.0.tar.gz
-  - GPU-enabled: https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-gpu-linux-x86_64-1.15.0.tar.gz
-- Mac: https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-darwin-x86_64-1.15.0.tar.gz
-- Windows
-  - CPU-only: https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-windows-x86_64-1.15.0.zip
-  - GPU-enabled: https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-gpu-windows-x86_64-1.15.0.zip
+We can't found official prebuild binaries for each platform since tensorflow 2.0. If you know where we can download, please PR here.
 
 
 ### Build from source for Windows
 
 https://www.tensorflow.org/install/source_windows
 
+Download [Bazel 0.29.1](https://github.com/bazelbuild/bazel/releases/tag/0.29.1) to build tensorflow2.x. We build customized binary to export c_api from this [fork](https://github.com/SciSharp/tensorflow).
+
 `pacman -S git patch unzip`
 
 1. Build static library
@@ -81,4 +75,4 @@ TF_CAPI_EXPORT extern void RemoveAllControlInputs(TF_Graph* graph, TF_Operation*
 ```
 
 For Linux version, these APIs symbols should also be put into `tensorflow/c/version_script.lds` to be exported. 
-Please refer to commit `https://github.com/SciSharp/tensorflow/commit/58122da06be3e7707500ad889dfd5c760a3e0424`
+Please refer to commit `https://github.com/SciSharp/tensorflow/commit/58122da06be3e7707500ad889dfd5c760a3e0424`

test/TensorFlowNET.UnitTest/Hub/MnistModelLoaderTest.cs

@@ -1,6 +1,6 @@
 using Microsoft.VisualStudio.TestTools.UnitTesting;
 using System.Threading.Tasks;
-using Tensorflow.Hub;
+using Tensorflow;
 
 namespace TensorFlowNET.UnitTest
 {

test/TensorFlowNET.UnitTest/Tensorflow.UnitTest.csproj

@@ -1,11 +1,11 @@
 <Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
-    <TargetFramework>netcoreapp3.0</TargetFramework>
+    <TargetFramework>netcoreapp3.1</TargetFramework>
 
     <IsPackable>false</IsPackable>
 
-    <SignAssembly>true</SignAssembly>
+    <SignAssembly>false</SignAssembly>
 
     <DelaySign>false</DelaySign>