There is no head files in cpp builds #30
Comments
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標頭檔在7z內include資料夾中 你有辦法使用下面這個連結下載嗎? |
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谢谢！ |
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@fo40225 请问你是用哪个版本的protobuf编译的呢，我试了调用tf训练好的模型，但是编译不通过，提示有6个无法解析的外部符号，全部指向google::protobuf，于是我从https://github.com/google/protobuf下载protobuf，将编译得到的lib加入工程，但这时仍有1个无法解析的外部符号。 |
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pip install protobuf==3.4.0 |
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@lxgyChen 如果要build出protobuf的lib檔 請使用這個版本 |
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@fo40225 ok |
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@fo40225 仍然无法使用你编译的c++ api创建图和导入模型：(( |
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有具體的錯誤訊息嗎? |
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@fo40225 我用的是 VS2017 15.7.6, 我电脑cpu是i7-8750H，显卡是1060，下载的是你编译的tensorflow-1.9-cpp-gpu-avx2, 运行以下代码时是OK的： #define NOMINMAX
#include <iostream>
#include "tensorflow/core/platform/env.h"
#include "tensorflow/core/public/session.h"
#include "Eigen/Dense"
#include "tensorflow/core/public/session.h"
#include "tensorflow/cc/ops/standard_ops.h"
using namespace std;
using namespace tensorflow;
int main()
{
Session* session;
Status status = NewSession(SessionOptions(), &session);
if (!status.ok()) {
cout << status.ToString() << "\n";
return 1;
}
cout << "Session successfully created.\n";
cin.get();
return 0;
}
但是运行这段代码就编译有错误： #define NOMINMAX
#include <iostream>
#include "tensorflow/core/platform/env.h"
#include "tensorflow/core/public/session.h"
#include "Eigen/Dense"
#include "tensorflow/core/public/session.h"
#include "tensorflow/cc/ops/standard_ops.h"
using namespace std;
using namespace tensorflow;
GraphDef CreateGraphDef()
{
Scope root = Scope::NewRootScope();
auto X = ops::Placeholder(root.WithOpName("x"), DT_FLOAT,
ops::Placeholder::Shape({ -1, 2 }));
auto A = ops::Const(root, { { 3.f, 2.f },{ -1.f, 0.f } });
auto Y = ops::MatMul(root.WithOpName("y"), A, X,
ops::MatMul::TransposeB(true));
GraphDef def;
TF_CHECK_OK(root.ToGraphDef(&def));
return def;
}
int main()
{
std::cout << "me" << std::endl;
GraphDef graph_def = CreateGraphDef();
// Start up the session
SessionOptions options;
std::unique_ptr<Session> session(NewSession(options));
TF_CHECK_OK(session->Create(graph_def));
// Define some data. This needs to be converted to an Eigen Tensor to be
// feed into the placeholder. Note that this will be broken up into two
// separate vectors of length 2: [1, 2] and [3, 4], which will separately
// be multiplied by the matrix.
std::vector<float> data = { 1, 2, 3, 4 };
auto mapped_X_ = Eigen::TensorMap<Eigen::Tensor<float, 2, Eigen::RowMajor>>
(&data[0], 2, 2);
auto eigen_X_ = Eigen::Tensor<float, 2, Eigen::RowMajor>(mapped_X_);
Tensor X_(DT_FLOAT, TensorShape({ 2, 2 }));
X_.tensor<float, 2>() = eigen_X_;
std::vector<Tensor> outputs;
TF_CHECK_OK(session->Run({ { "x", X_ } }, { "y" }, {}, &outputs));
// Get the result and print it out
Tensor Y_ = outputs[0];
std::cout << Y_.tensor<float, 2>() << std::endl;
session->Close();
cin.get();
return 0;
}
提示 |
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用libtensorflow-cpu-windows-x86_64-1.8.0-avx2是可以編譯與執行的 大概是1.9.0的cmake有點問題 你先用1.8.0試試 |
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這個改動導致 真的需要新版就自己改個create_def_file.py重build吧 官方放棄cmake了 我想我發PR大概也不會被接受 |
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1.8版本的的确可以编译运行了：），thank you so much~~（可惜没有cuda9.2-AVX2的版本...） |
Does it mean you will not build Tensorflow 1.10 anymore because they have dropped cmake support?? I guess getting Bazel to work on Windows is still painful right?? Btw thank you for all the wheels you have built. |
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@henrysky 1.10 will upload later. I will try to use Banzel to build 1.11, but I can't guarantee multiple configurations like cmake. If no one maintains cmake script, it is possible that 1.10 is the last version. |
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@lxgyChen |
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@fo40225 I build tensorflow1.9 and 1.10 version's c++ lib successfully, however I cannot build the 1.11 version. It report the lack of |
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@fo40225 : Hi downloaded the tensor flow library from the link mentioned above. |
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Guys i am getting the same error as mentioned above for building the tensorflow r1.11 with cmake. |
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about 1.8.0 cpp file is working well 1.9.0~1.10.0 need to revert tensorflow/tensorflow#19415 and use cmake to rebuild |
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@fo40225 : Thanks for the reply. |
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@fo40225 : Hi tried downloading the following pre-built library file: libtensorflow-cpu-windows-x86_64-1.8.0-avx2.7z from following location: |
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@HackersSpirit Try to add in the configure page of the project -> C/C++ -> preprocessor -> definition of preprocessor( some name like this because I forget the precise name). |
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@MetaPeak : Thanks for the help. Can you please tell exactly at which location the changes have to be made as i am using pre-built binaries along with qt creator. |
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@HackersSpirit You can search on google how to add Macro definition on your QT IDE. |
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Ohh ok thanks. I misunderstood. I thought i have to add something to any of the given files :) |
Thanks was done. |
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Guys @MetaPeak @fo40225 : I tried running both the samples mentioned above and getting the following errors: 1CheckOpMessageBuilder@internal@tensorflow@@qeaa@XZ) referenced in function "class std::basic_string<char,struct std::char_traits,class std::allocator > * __cdecl tensorflow::internal::MakeCheckOpString<__int64,__int64>(__int64 const &,__int64 const &,char const *)" (??$MakeCheckOpString@_J_J@internal@tensorflow@@YAPEAV?$basic_string@DU?$char_traits@D@std@@v?$allocator@D@2@@std@@AEB_J0PEBD@Z) |
Could you please put the include files into cpp builds?( :) ) I can't download some files due to the gfw...
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