“ Hello TensorFlow！”使用C API [英] "Hello TensorFlow!" using the C API

问题描述

出于学习目的，如何使用TensorFlow C API编写此Python示例？

For learning purposes, how to code this Python example using the TensorFlow C API ?

import tensorflow as tf
hello = tf.constant("hello TensorFlow!")
sess=tf.Session()
print(sess.run(hello))

我尝试过这种方式：

#include <string.h>
#include <iostream.h>
#include "c_api.h"

int main( int argc, char ** argv ) 
{
  TF_Graph * graph = TF_NewGraph();
  TF_SessionOptions * options = TF_NewSessionOptions();
  TF_Status * status = TF_NewStatus();
  TF_Session * session = TF_NewSession( graph, options, status );
  char hello[] = "Hello TensorFlow!";
  TF_Tensor * tensor = TF_AllocateTensor( TF_STRING, 0, 0, 8 + TF_StringEncodedSize( strlen( hello ) ) );
  TF_OperationDescription * operationDescription = TF_NewOperation( graph, "Const", "hello" );
  TF_Operation * operation; 
  struct TF_Output * output;

  TF_StringEncode( hello, strlen( hello ), 8 + ( char * ) TF_TensorData( tensor ), TF_StringEncodedSize( strlen( hello ) ), status );
  TF_SetAttrTensor( operationDescription, "value", tensor, status );
  TF_SetAttrType( operationDescription, "dtype", TF_TensorType( tensor ) );
  operation = TF_FinishOperation( operationDescription, status );

  output->oper = operation;
  output->index = 0;

  TF_SessionRun( session, 0,
                 0, 0, 0,  // Inputs
                 output, &tensor, 1,  // Outputs
                 &operation, 1,  // Operations
                 0, status );

  printf( "%i", TF_GetCode( status ) );

  TF_CloseSession( session, status );
  TF_DeleteSession( session, status );
  TF_DeleteStatus( status );
  TF_DeleteSessionOptions( options );  

  return 0;
}

我正在Windows上使用 TensorFlow对其进行测试。 dll 来自：
http://ci.tensorflow.org/view/Nightly/job/nightly-libtensorflow-windows/lastSuccessfulBuild/artifact/lib_package/libtensorflow-cpu-windows-x86_64.zip

I am testing it on Windows using the TensorFlow.dll from: http://ci.tensorflow.org/view/Nightly/job/nightly-libtensorflow-windows/lastSuccessfulBuild/artifact/lib_package/libtensorflow-cpu-windows-x86_64.zip

上面的代码在 TF_SessionRun（）调用中具有GPF。找到解决方案后，如何检索输出？
输出应使用不同的张量吗？上面的代码在输出和操作中都重复使用了。

The above code GPFs on the TF_SessionRun() call. Once we find a solution for that, how to retrieve the output ? Should a different tensor be used for the output ? The above code reuses it in both the output and the operation.

非常感谢

推荐答案

在偏移量初始化旁边还有一个错误需要解决。此版本似乎可以正常工作：

There was a bug to solve beside the offset initialization. This version seems to work fine:

#include <iostream.h>
#include "c_api.h"

int main( int argc, char ** argv ) 
{
  TF_Graph * graph = TF_NewGraph();
  TF_SessionOptions * options = TF_NewSessionOptions();
  TF_Status * status = TF_NewStatus();
  TF_Session * session = TF_NewSession( graph, options, status );
  char hello[] = "Hello TensorFlow!";
  TF_Tensor * tensor = TF_AllocateTensor( TF_STRING, 0, 0, 8 + TF_StringEncodedSize( strlen( hello ) ) );
  TF_Tensor * tensorOutput;
  TF_OperationDescription * operationDescription = TF_NewOperation( graph, "Const", "hello" );
  TF_Operation * operation; 
  struct TF_Output output;

  TF_StringEncode( hello, strlen( hello ), 8 + ( char * ) TF_TensorData( tensor ), TF_StringEncodedSize( strlen( hello ) ), status );
  memset( TF_TensorData( tensor ), 0, 8 );
  TF_SetAttrTensor( operationDescription, "value", tensor, status );
  TF_SetAttrType( operationDescription, "dtype", TF_TensorType( tensor ) );
  operation = TF_FinishOperation( operationDescription, status );

  output.oper = operation;
  output.index = 0;

  TF_SessionRun( session, 0,
                 0, 0, 0,  // Inputs
                 &output, &tensorOutput, 1,  // Outputs
                 &operation, 1,  // Operations
                 0, status );

  printf( "status code: %i\n", TF_GetCode( status ) );
  printf( "%s\n", ( ( char * ) TF_TensorData( tensorOutput ) ) + 9 );

  TF_CloseSession( session, status );
  TF_DeleteSession( session, status );
  TF_DeleteStatus( status );
  TF_DeleteSessionOptions( options );  

  return 0;
}

我们必须删除tensorOutput吗？不知道为什么我们必须加9（而不是8）才能得到字符串的开头。

Do we have to delete the tensorOutput ? Not sure why we have to add 9 (instead of 8) to get the beginning of the string.

这篇关于“ Hello TensorFlow！”使用C API的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！