├── bin
    └── .gitignore
├── wrap
    └── .gitignore
├── example
    ├── example
    │   ├── models
    │   │   └── graph.pb
    │   ├── graphgen.py
    │   ├── Properties
    │   │   └── AssemblyInfo.cs
    │   ├── example.csproj
    │   └── Program.cs
    └── example.sln
├── callback.h
├── callback.cc
├── BUILD
├── deallocator.h
├── README.md
├── tensor_c_api.i
├── deallocator.cc
└── LICENSE


/bin/.gitignore:
--------------------------------------------------------------------------------
1 | 


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/wrap/.gitignore:
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1 | 


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/example/example/models/graph.pb:
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https://raw.githubusercontent.com/unrealwill/tensorflow-csharp-c-api/HEAD/example/example/models/graph.pb


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/callback.h:
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 1 | #ifndef _CALLBACK_H
 2 | #define _CALLBACK_H
 3 | #include <cstdio>
 4 | #include <iostream>
 5 | 
 6 | class Callback {
 7 | public:
 8 | 	virtual ~Callback(); 
 9 | 	virtual void run();
10 | };
11 | 
12 | 
13 | #endif
14 | 
15 | 


--------------------------------------------------------------------------------
/callback.cc:
--------------------------------------------------------------------------------
 1 | 
 2 | /* File : callback.cc */
 3 | 
 4 | #include "callback.h"
 5 | 
 6 | Callback::~Callback()
 7 | {
 8 | //std::cout << "Callback::~Callback()" << std:: endl; 
 9 | }
10 | 
11 | void Callback::run()
12 | {
13 | // std::cout << "Callback::run()" << std::endl; 
14 | }
15 | 
16 | 


--------------------------------------------------------------------------------
/BUILD:
--------------------------------------------------------------------------------
 1 | cc_binary(
 2 |     name = "libtensorflow_c_api.so",
 3 |     srcs = ["wrapcxx/tensor_c_api_wrap.cc",
 4 | 						"wrapcxx/tensor_c_api_wrap.h",
 5 | 						"deallocator.cc",
 6 | 						"deallocator.h",
 7 | 						"callback.cc",
 8 | 						"callback.h"],
 9 | 		linkshared = 1,
10 |     deps = [
11 |         "//tensorflow/core:tensorflow",
12 |     ],
13 | )
14 | 
15 | 


--------------------------------------------------------------------------------
/deallocator.h:
--------------------------------------------------------------------------------
 1 | #ifndef DEALLOCATOR_H
 2 | #define DEALLOCATOR_H
 3 | 
 4 | #include "tensorflow/core/public/tensor_c_api.h"
 5 | #include "callback.h"
 6 | 
 7 | extern TF_Tensor* TF_NewTensorAllocated(TF_DataType dt, long long* dims, int num_dims);
 8 | 
 9 | extern TF_Tensor* TF_NewTensorCB(TF_DataType dt, long long* dims, int num_dims,
10 |                                void* data, size_t len,
11 |                                Callback* cb);
12 | 
13 | #endif
14 | 


--------------------------------------------------------------------------------
/example/example/graphgen.py:
--------------------------------------------------------------------------------
 1 | import tensorflow as tf
 2 | import numpy as np
 3 | 
 4 | with tf.Session() as sess:
 5 |     a = tf.Variable(np.arange(10).astype(np.float32), name="a")
 6 |     b = tf.Variable(np.arange(10).astype(np.float32), name="b")
 7 |     #d = tf.Variable(np.arange(10000000), name='d')
 8 |     #a = tf.constant(5.0)
 9 |     #b = tf.constant(6.0)
10 |     c = tf.mul(a, b, name="output")
11 |     sess.run( tf.initialize_variables(tf.all_variables(),name = 'i'))
12 | 		
13 |     print a.eval() # 5.0
14 |     print b.eval() # 6.0
15 |     print c.eval() # 30.0
16 |     
17 |     tf.train.write_graph(sess.graph_def, 'models', 'graph.pb', as_text=False)
18 | 


--------------------------------------------------------------------------------
/example/example.sln:
--------------------------------------------------------------------------------
 1 | 
 2 | Microsoft Visual Studio Solution File, Format Version 12.00
 3 | # Visual Studio 2012
 4 | Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "example", "example\example.csproj", "{C0E9FEF0-4D18-4DE7-BDBD-F76DE367D7DB}"
 5 | EndProject
 6 | Global
 7 | 	GlobalSection(SolutionConfigurationPlatforms) = preSolution
 8 | 		Debug|x86 = Debug|x86
 9 | 		Release|x86 = Release|x86
10 | 	EndGlobalSection
11 | 	GlobalSection(ProjectConfigurationPlatforms) = postSolution
12 | 		{C0E9FEF0-4D18-4DE7-BDBD-F76DE367D7DB}.Debug|x86.ActiveCfg = Debug|x86
13 | 		{C0E9FEF0-4D18-4DE7-BDBD-F76DE367D7DB}.Debug|x86.Build.0 = Debug|x86
14 | 		{C0E9FEF0-4D18-4DE7-BDBD-F76DE367D7DB}.Release|x86.ActiveCfg = Release|x86
15 | 		{C0E9FEF0-4D18-4DE7-BDBD-F76DE367D7DB}.Release|x86.Build.0 = Release|x86
16 | 	EndGlobalSection
17 | EndGlobal
18 | 


--------------------------------------------------------------------------------
/example/example/Properties/AssemblyInfo.cs:
--------------------------------------------------------------------------------
 1 | using System.Reflection;
 2 | using System.Runtime.CompilerServices;
 3 | 
 4 | // Information about this assembly is defined by the following attributes.
 5 | // Change them to the values specific to your project.
 6 | 
 7 | [assembly: AssemblyTitle("example")]
 8 | [assembly: AssemblyDescription("")]
 9 | [assembly: AssemblyConfiguration("")]
10 | [assembly: AssemblyCompany("")]
11 | [assembly: AssemblyProduct("")]
12 | [assembly: AssemblyCopyright("darkblue")]
13 | [assembly: AssemblyTrademark("")]
14 | [assembly: AssemblyCulture("")]
15 | 
16 | // The assembly version has the format "{Major}.{Minor}.{Build}.{Revision}".
17 | // The form "{Major}.{Minor}.*" will automatically update the build and revision,
18 | // and "{Major}.{Minor}.{Build}.*" will update just the revision.
19 | 
20 | [assembly: AssemblyVersion("1.0.*")]
21 | 
22 | // The following attributes are used to specify the signing key for the assembly,
23 | // if desired. See the Mono documentation for more information about signing.
24 | 
25 | //[assembly: AssemblyDelaySign(false)]
26 | //[assembly: AssemblyKeyFile("")]
27 | 
28 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # tensorflow-csharp-c-api
 2 | Port of the tensorflow c api to csharp
 3 | 
 4 | Adaptation of this :
 5 | https://medium.com/jim-fleming/loading-tensorflow-graphs-via-host-languages-be10fd81876f
 6 | to CSharp using SWIG
 7 | 
 8 | Status :
 9 | Example Graph Successfully Runs
10 | Still a few TODOs before fully fonctional
11 | 
12 | 
13 | Prerequisites:
14 | tensorflow (so you should already have swig and g++)
15 | 
16 | Install instructions (ubuntu 14.04) :
17 | Clone tensorflow-csharp-c-api repository
18 | cd to tensorflow-csharp-c-api repository
19 | look and adapt build.sh so that its path to tensorflow are correct
20 | run build.sh
21 | 
22 | The generated libraries should be in the bin folder
23 | 
24 | Add reference to the generated dll
25 | Build csharp project
26 | 
27 | Create symlinks or copy the libtensorflow_c_api.so and libtensorflow.so alongside the binary exe so that it can load the dll
28 | 
29 | Look at example project for usage
30 | 
31 | 
32 | Alternatively you could use Bazel by copying it into the tensorflow/tensorflow directory
33 | generate wrapper with swig
34 | compile all cs into a dll
35 | then bazel build :all to build the shared library
36 | 
37 | 
38 | 
39 | 
40 | 


--------------------------------------------------------------------------------
/example/example/example.csproj:
--------------------------------------------------------------------------------
 1 | <?xml version="1.0" encoding="utf-8"?>
 2 | <Project DefaultTargets="Build" ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
 3 |   <PropertyGroup>
 4 |     <Configuration Condition=" '$(Configuration)' == '' ">Debug</Configuration>
 5 |     <Platform Condition=" '$(Platform)' == '' ">x86</Platform>
 6 |     <ProjectGuid>{C0E9FEF0-4D18-4DE7-BDBD-F76DE367D7DB}</ProjectGuid>
 7 |     <OutputType>Exe</OutputType>
 8 |     <RootNamespace>example</RootNamespace>
 9 |     <AssemblyName>example</AssemblyName>
10 |     <TargetFrameworkVersion>v4.5</TargetFrameworkVersion>
11 |   </PropertyGroup>
12 |   <PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Debug|x86' ">
13 |     <DebugSymbols>true</DebugSymbols>
14 |     <DebugType>full</DebugType>
15 |     <Optimize>false</Optimize>
16 |     <OutputPath>bin\Debug</OutputPath>
17 |     <DefineConstants>DEBUG;</DefineConstants>
18 |     <ErrorReport>prompt</ErrorReport>
19 |     <WarningLevel>4</WarningLevel>
20 |     <Externalconsole>true</Externalconsole>
21 |     <PlatformTarget>x86</PlatformTarget>
22 |   </PropertyGroup>
23 |   <PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Release|x86' ">
24 |     <DebugType>full</DebugType>
25 |     <Optimize>true</Optimize>
26 |     <OutputPath>bin\Release</OutputPath>
27 |     <ErrorReport>prompt</ErrorReport>
28 |     <WarningLevel>4</WarningLevel>
29 |     <Externalconsole>true</Externalconsole>
30 |     <PlatformTarget>x86</PlatformTarget>
31 |   </PropertyGroup>
32 |   <ItemGroup>
33 |     <Reference Include="System" />
34 |     <Reference Include="tensor_c_api">
35 |       <HintPath>..\..\bin\tensor_c_api.dll</HintPath>
36 |     </Reference>
37 |   </ItemGroup>
38 |   <ItemGroup>
39 |     <Compile Include="Properties\AssemblyInfo.cs" />
40 |     <Compile Include="Program.cs" />
41 |   </ItemGroup>
42 |   <Import Project="$(MSBuildBinPath)\Microsoft.CSharp.targets" />
43 | </Project>


--------------------------------------------------------------------------------
/tensor_c_api.i:
--------------------------------------------------------------------------------
 1 | 
 2 | %module(directors="1") tensorflow_c_api
 3 | %{
 4 | #include "tensorflow/core/public/tensor_c_api.h"
 5 | #include "deallocator.h"
 6 | #include "callback.h"
 7 | %}
 8 | 
 9 | %include "carrays.i"
10 | 
11 | %include <arrays_csharp.i>
12 | 
13 | CSHARP_ARRAYS(char *, string)
14 | %typemap(imtype, inattributes="[In, MarshalAs(UnmanagedType.LPArray, SizeParamIndex=0, ArraySubType=UnmanagedType.LPStr)]") char *INPUT[] "string[]"
15 | 
16 | %apply char *INPUT[]  { char ** }
17 | 
18 | 
19 | %apply long long INPUT[]  { long long* }
20 | 
21 | %array_functions(TF_Tensor*, tensorArray);
22 | 
23 | //TODO:use a cleaner csharparray interface
24 | //this is the carrays interface from swig
25 | //It is not as clean as we would like
26 | //But I tried using a managed array approach using CSHARP_ARRAYS, it compiles but crash upon marshalling 
27 | //Because SWIGTYPE_p_TF_Tensor doesn't have a Stuct Layout attribute because it is a generated wrapper by swig
28 | //We would like to marshall it as an array containing the pointers : SWIGTYPE_p_TF_Tensor.getCPtr()
29 | 
30 | //CSHARP_ARRAYS(TF_Tensor *, SWIGTYPE_p_TF_Tensor)
31 | //%typemap(imtype, inattributes="[In, MarshalAs(UnmanagedType.LPArray, SizeParamIndex=0, ArraySubType=UnmanagedType.ByValArray)]") TF_Tensor *INPUT[] "SWIGTYPE_p_TF_Tensor[]"
32 | //%apply TF_Tensor *INPUT[]  { TF_Tensor** }
33 | 
34 | %feature("director") Callback;
35 | 
36 | 
37 | //Copy pasted from the web
38 | %define %cs_marshal_intptr(TYPE, ARGNAME...)
39 |         %typemap(ctype)  TYPE ARGNAME "void*"
40 |         %typemap(imtype) TYPE ARGNAME "IntPtr"
41 |         %typemap(cstype) TYPE ARGNAME "IntPtr"
42 |         %typemap(in)     TYPE ARGNAME %{ $1 = ($1_ltype)$input; /* IntPtr */ %}
43 |         %typemap(csin)   TYPE ARGNAME "$csinput"
44 |        
45 |         %typemap(out)    TYPE ARGNAME %{ $result = $1; %}
46 |         %typemap(csout, excode=SWIGEXCODE) TYPE ARGNAME {
47 |                 IntPtr cPtr = $imcall;$excode
48 |                 return cPtr;
49 |         }
50 |         %typemap(csvarout, excode=SWIGEXCODE2) TYPE ARGNAME %{
51 |                 get {
52 |                         IntPtr cPtr = $imcall;$excode
53 |                         return cPtr;
54 |                 }
55 |         %}
56 | 
57 |         %typemap(ctype)  TYPE& ARGNAME "void**"
58 |         %typemap(imtype) TYPE& ARGNAME "ref IntPtr"
59 |         %typemap(cstype) TYPE& ARGNAME  "ref IntPtr"
60 |         %typemap(in)     TYPE& ARGNAME %{ $1 = ($1_ltype)$input; %}
61 |         %typemap(csin)   TYPE& ARGNAME "ref $csinput"
62 | %enddef 
63 | 
64 | %cs_marshal_intptr(void*);
65 | 
66 | %include "tensorflow/core/public/tensor_c_api.h"
67 | %include "deallocator.h"
68 | %include "callback.h"
69 | 
70 | //tensorflow/tensor_c_api/
71 | 
72 | 
73 | 


--------------------------------------------------------------------------------
/deallocator.cc:
--------------------------------------------------------------------------------
  1 | #include "tensorflow/core/public/tensor_c_api.h"
  2 | #include <vector>
  3 | //#include "tensorflow/core/framework/tensor.h"
  4 | #include "tensorflow/tensor_c_api/deallocator.h"
  5 | #include <cstdlib>
  6 | #include <cstdint>
  7 | 
  8 | static void Deallocator(void* data, size_t, void* arg) {
  9 | 	//std::cout<< "Deallocator free" << std::endl;
 10 | 	std::free(data);
 11 |   //tensorflow::cpu_allocator()->DeallocateRaw(data);
 12 |   *reinterpret_cast<bool*>(arg) = true;
 13 | }
 14 | 
 15 | TF_Tensor* TF_NewTensorAllocated(TF_DataType dt, long long* dims, int num_dims) 
 16 | {
 17 | int nbElem = 1;
 18 | for( int i = 0 ; i < num_dims ; i++)
 19 | 	nbElem *= dims[i];
 20 | unsigned int len = 0;
 21 | void* data = NULL;
 22 | switch( dt )
 23 | {
 24 |   case TF_FLOAT :
 25 | 		len = nbElem * sizeof(float);
 26 | 		data = std::malloc( len );
 27 | 	break;
 28 |   case TF_DOUBLE :
 29 | 		len = nbElem * sizeof(double);
 30 | 		data = std::malloc( len );		
 31 | 	break;
 32 |   case TF_INT32 :
 33 | 		len = nbElem * sizeof(double);
 34 | 		data = std::malloc( len );	
 35 | 	break;  
 36 |   case TF_UINT8 :
 37 | 		len = nbElem * sizeof(uint8_t);
 38 | 		data = std::malloc( len );	
 39 | 	break;
 40 |   case TF_INT16 :
 41 | 		len = nbElem * sizeof(int16_t);
 42 | 		data = std::malloc( len );	
 43 | 	break;
 44 |   case TF_INT8 :
 45 | 		len = nbElem * sizeof(int8_t);
 46 | 		data = std::malloc( len );	
 47 | 	break;
 48 |   case TF_STRING :
 49 | 		//TODO
 50 | 	break;
 51 |   case TF_COMPLEX :
 52 | 		//TODO
 53 | 	break;
 54 |   case TF_INT64 :
 55 | 		len = nbElem * sizeof(int64_t);
 56 | 		data = std::malloc( len );	
 57 | 	break;
 58 |   case TF_BOOL :
 59 | 		len = nbElem * sizeof(bool);
 60 | 		data = std::malloc( len );
 61 | 	break;  
 62 | 	case TF_QINT8 :
 63 | 
 64 | 	break;
 65 |   case TF_QUINT8 :
 66 | 
 67 | 	break;
 68 |   case TF_QINT32 :
 69 | 
 70 | 	break;
 71 |   case TF_BFLOAT16 :
 72 | 
 73 | 	break;
 74 |   case TF_QINT16 :
 75 | 
 76 | 	break;
 77 |   case TF_QUINT16 :
 78 | 
 79 | 	break;
 80 |   case TF_UINT16 :
 81 |   	len = nbElem * sizeof(uint16_t);
 82 | 		data = std::malloc( len );	
 83 | 	break;
 84 | }
 85 | 
 86 | /*
 87 | float* values =
 88 |       reinterpret_cast<float*>(tensorflow::cpu_allocator()->AllocateRaw(
 89 |           EIGEN_MAX_ALIGN_BYTES, 10 * sizeof(float)));
 90 |   tensorflow::int64 dims2[] = {10};
 91 | */
 92 | 
 93 |   bool deallocator_called = false;
 94 |   TF_Tensor* t = TF_NewTensor(dt, dims,num_dims, data, len,
 95 |                               &Deallocator, &deallocator_called);
 96 | 	
 97 | 	return t;
 98 | }
 99 | 
100 | void callbackDeallocator(void* data, size_t len,
101 |                                                    void* arg)
102 | {
103 | 	//std::cout << "callbackDeallocator " << arg << std::endl;
104 | 	((Callback*)arg)->run();
105 | }
106 | 
107 | // memory managed by something like numpy.
108 | TF_Tensor* TF_NewTensorCB(TF_DataType dt, long long* dims, int num_dims,
109 |                                void* data, size_t len,
110 |                                Callback* cb)
111 | {
112 | return TF_NewTensor(dt,dims,num_dims,data,len, callbackDeallocator,cb); 
113 | }
114 | 


--------------------------------------------------------------------------------
/example/example/Program.cs:
--------------------------------------------------------------------------------
  1 | using System;
  2 | using System.Runtime.InteropServices;
  3 | using System.IO;
  4 | using System.Text;
  5 | 
  6 | namespace example
  7 | {
  8 |     //To create a callback which will be called in csharp upon deallocation
  9 |     //Just inherit from Callback
 10 |     public class CSharpCallback : Callback
 11 |     {
 12 |         public CSharpCallback()
 13 |             : base()
 14 |         {
 15 |         }
 16 | 
 17 |         public override void run()
 18 |         {
 19 |             Console.WriteLine("CSharpCallback.run()");
 20 |             //In this simple callback we don't release memory
 21 |         }
 22 |     }
 23 | 
 24 |     class MainClass
 25 |     {
 26 |         public static void Main(string[] args)
 27 |         {
 28 |             var options = tensorflow_c_api.TF_NewSessionOptions();
 29 | 
 30 |             var status = tensorflow_c_api.TF_NewStatus();
 31 |             var session = tensorflow_c_api.TF_NewSession(options, status);
 32 |             if (tensorflow_c_api.TF_GetCode(status) == TF_Code.TF_OK)
 33 |                 Console.WriteLine("OK");
 34 |             else
 35 |                 Console.WriteLine("Not OK");
 36 | 
 37 |             byte[] data = File.ReadAllBytes("../../models/graph.pb");
 38 | 
 39 |             IntPtr ptr = Marshal.AllocHGlobal(data.Length);
 40 |             Marshal.Copy(data,0,ptr,data.Length);
 41 | 
 42 | 
 43 |            
 44 |             var tens = new float[10];
 45 |             for (int i = 0; i < tens.Length; i++)
 46 |                 tens[i] = (float)(5+i);
 47 |             
 48 |             IntPtr ptrTensor = Marshal.AllocHGlobal(tens.Length*sizeof(float) );
 49 |             Marshal.Copy(tens,0,ptrTensor,tens.Length);
 50 | 
 51 |             try
 52 |             {
 53 |                 
 54 |                 var dims = new long[]{tens.Length};
 55 |                 //This callbacks are called back upon destruction of the tensor so that we can handle release the memory in csharp
 56 |                 //You should make sure this callback object doesn't get garbage collected before it is called
 57 |                 var cb = new CSharpCallback();
 58 | 
 59 |                 //We can use two tensors pointing to the same array
 60 |                 var TFtens = tensorflow_c_api.TF_NewTensorCB(TF_DataType.TF_FLOAT, dims, 1,ptrTensor,(uint)(tens.Length*sizeof(float)), cb);
 61 | 
 62 |                 //Alternatively we can use the library to allocate and release memory directly
 63 |                 //But this mean additional copies
 64 |                 var TFtens2 = tensorflow_c_api.TF_NewTensorAllocated(TF_DataType.TF_FLOAT,dims,1);
 65 |                 //The tensor data is allocated but not yet initialized
 66 |                 var tens2IntPtr = tensorflow_c_api.TF_TensorData( TFtens2 );
 67 |                 Marshal.Copy(tens,0,tens2IntPtr,tens.Length);
 68 | 
 69 |                 //We construct the graph from the binary proto file
 70 |                 tensorflow_c_api.TF_ExtendGraph( session,ptr,(uint)(data.Length),status );
 71 | 
 72 |                 if (tensorflow_c_api.TF_GetCode(status) == TF_Code.TF_OK)
 73 |                 {
 74 |                     Console.WriteLine("Graph Creation OK");
 75 |                 }
 76 |                 else
 77 |                 {
 78 |                     Console.WriteLine("Graph Creation Not OK");
 79 |                     return;
 80 |                 }
 81 |                     
 82 |                 //We create an array of tensors 
 83 |                 //This array will have to be deleted with
 84 |                 //tensorflow_c_api.delete_tensorArray
 85 |                 var inputs = tensorflow_c_api.new_tensorArray(2);
 86 |                 tensorflow_c_api.tensorArray_setitem(inputs, 0, TFtens);
 87 |                 //Note that we have two different tensors as input
 88 |                 //using tensorflow_c_api.tensorArray_setitem(inputs, 1, TFtens);
 89 |                 //would result in an error upon TF_RUN which delete its inputs
 90 |                 tensorflow_c_api.tensorArray_setitem(inputs, 1, TFtens2);
 91 |                 var outputs = tensorflow_c_api.new_tensorArray(1);
 92 | 
 93 |                 //We run the "i" OpDef to initialize the load the shared variables into the variables nodes
 94 |                 //This OpDef was created in python with tf.initialize_variables(tf.all_variables(),name = 'i')
 95 | 
 96 |                 tensorflow_c_api.TF_Run( session, new string[0],inputs,0,new string[0],outputs,0,new string[]{"i"},1,status);
 97 |                 if (tensorflow_c_api.TF_GetCode(status) == TF_Code.TF_OK)
 98 |                     Console.WriteLine("Init Run OK");
 99 |                 else
100 |                 {
101 |                     Console.WriteLine("Init Run Not OK");
102 |                     Console.WriteLine( tensorflow_c_api.TF_Message( status) );
103 |                     return;
104 |                 }
105 | 
106 |                 //We run the graph which uses the previously initialized variables 
107 |                 tensorflow_c_api.TF_Run( session, new string[0]{} ,inputs,0,new string[]{"output"},outputs,1,new string[0],0,status);
108 |                 if (tensorflow_c_api.TF_GetCode(status) == TF_Code.TF_OK)
109 |                     Console.WriteLine("Run using initialized variable OK");
110 |                 else
111 |                 {
112 |                     Console.WriteLine("Run using initialized variable Not OK");
113 |                     Console.WriteLine( tensorflow_c_api.TF_Message( status) );
114 |                     return;
115 |                 }
116 | 
117 |                 {
118 |                     var outtensor = tensorflow_c_api.tensorArray_getitem(outputs,0);
119 |                     var resu = tensorflow_c_api.TF_TensorData( outtensor );
120 |                     var resuf = new float[10];
121 |                     Marshal.Copy(resu,resuf,0,10);
122 |                     Console.WriteLine("The result from the execution of the graph is : resu[3] : {0}",resuf[3]);
123 |                     //We release the tensor which now is under our responsibility
124 |                     tensorflow_c_api.TF_DeleteTensor( outtensor );
125 |                 }
126 |                     
127 |                 //We run the graph feeding it some inputs
128 |                 //It will call TF_DeleteTensor on the inputs
129 |                 tensorflow_c_api.TF_Run( session, new string[2]{ "a","b" } ,inputs,2,new string[]{"output"},outputs,1,new string[0],0,status);
130 |                 if (tensorflow_c_api.TF_GetCode(status) == TF_Code.TF_OK)
131 |                     Console.WriteLine("Run feeding input variables OK");
132 |                 else
133 |                 {
134 |                     Console.WriteLine("Run feeding input variables Not OK");
135 |                     Console.WriteLine( tensorflow_c_api.TF_Message( status) );
136 |                     return;
137 |                 }
138 | 
139 |                 {
140 |                     var outtensor = tensorflow_c_api.tensorArray_getitem(outputs,0);
141 |                     var resu = tensorflow_c_api.TF_TensorData( outtensor );
142 |                     var resuf = new float[10];
143 |                     Marshal.Copy(resu,resuf,0,10);
144 |                     Console.WriteLine("The result from the execution of the graph is : resu[3] : {0}",resuf[3]);
145 |                     tensorflow_c_api.TF_DeleteTensor( outtensor );
146 |                 }
147 | 
148 |                 //We delete the tensors
149 |                 tensorflow_c_api.delete_tensorArray(inputs);
150 |                 tensorflow_c_api.delete_tensorArray(outputs);
151 | 
152 |             }
153 |             finally
154 |             {
155 |                 //We release The binary protobuf of the graph
156 |                 Marshal.FreeHGlobal(ptr);
157 |                 //We release Our tensor data
158 |                 Marshal.FreeHGlobal(ptrTensor);
159 |             }
160 | 
161 | 
162 | 
163 |            
164 | 
165 |         }
166 |     }
167 | }
168 | 


--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
  1 |                                  Apache License
  2 |                            Version 2.0, January 2004
  3 |                         http://www.apache.org/licenses/
  4 | 
  5 |    TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
  6 | 
  7 |    1. Definitions.
  8 | 
  9 |       "License" shall mean the terms and conditions for use, reproduction,
 10 |       and distribution as defined by Sections 1 through 9 of this document.
 11 | 
 12 |       "Licensor" shall mean the copyright owner or entity authorized by
 13 |       the copyright owner that is granting the License.
 14 | 
 15 |       "Legal Entity" shall mean the union of the acting entity and all
 16 |       other entities that control, are controlled by, or are under common
 17 |       control with that entity. For the purposes of this definition,
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