VisualC Tensorflow C API Wrapper导致LNK2019

我目前正在编写一个VisualC 12 Tensorflow Wrapper来为Tensorflow Object Detection API启用推理任务 . 但是，我得到了LNK2019类型的一些链接错误（“未解析的外部符号”） .

我研究了这个错误的一些常见原因并发现了以下内容，但我无法在我的代码中发现任何这些（原因列在The Microsoft reference for Linker Tool Error LNK2019上） .

以下是导致错误的代码片段：

• 文件TensorflowTensor.h：

namespace tf {
class TensorflowTensor : public TensorflowCWrapper<TF_Tensor>
{
public:
  TensorflowTensor(const cv::Mat& input_image);
  TensorflowTensor(TF_Tensor* tensor);

  // inner class for convenient access to tensors' data
  template<typename DType, size_t D>
  class TensorView
  {
  public:
    TensorView<DType, D>(TensorflowTensor& tensor);
    const DType& operator()(std::array<size_t, D> n) const;
    DType& operator()(std::array<size_t, D> n);
    size_t NumElements() const;

  private:
    DType* data_;
    std::array<size_t, D> dims_;
    size_t num_el_;
  };

  template<typename DType, size_t D>
  TensorView<DType, D> View();
};
}

• TensorflowTensor.cpp中的实现（仅导致链接器错误的行）：

namespace tf {
// Constructors of TensorflowTensor are here

  template<typename DType, size_t D>
  TensorflowTensor::TensorView<DType, D>::TensorView(TensorflowTensor& tensor)
  {
    if (tensor.NumDims() != D)
    {
      throw std::runtime_error("Number of dimensions do not match!");
    }

    num_el_ = 1;
    for (size_t i = 0; i < D; ++i)
    {
      dims_[i] = tensor.Dim(i);
      num_el_ *= dims_[i];
    }

    if (tensor.NumBytes() != (num_el_ * sizeof(DType)))
    {
      throw std::runtime_error("Wrong TensorView!");
    }

    data_ = static_cast<DType*>(tensor.Bytes());
  }

  template<typename DType, size_t D>
  const DType& TensorflowTensor::TensorView<DType, D>::operator()(std::array<size_t, D> n) const
  {
    return data_[ComputeOffset(n)];
  }

  template<typename DType, size_t D>
  DType& TensorflowTensor::TensorView<DType, D>::operator()(std::array<size_t, D> n)
  {
    return data_[ComputeOffset(n)];
  }

  template<typename DType, size_t D>
  size_t TensorflowTensor::TensorView<DType, D>::NumElements() const
  {
    return num_el_;
  }

  template<typename DType, size_t D>
  TensorflowTensor::TensorView<DType, D> TensorflowTensor::View()
  {
    return TensorView<DType, D>(*this);
  }
}

• 以下是我调用函数的行（在方法中： TensorflowInference::detect(* some args */) ）：

const auto output_scores = result_tensors[0]->TensorflowTensor::View<float, 2>();
const auto output_boxes = result_tensors[1]->TensorflowTensor::View<float, 3>();
const auto output_classes = result_tensors[2]->TensorflowTensor::View<float, 2>();

// copy detections to the results vector
results.clear();
for (size_t i = 0; i < output_scores.NumElements(); ++i)
{
  if (output_scores({{0, i}}) > 0.)
  {
    results.emplace_back(output_classes({{ 0, i }}),
      output_scores({{ 0, i }}),
      output_boxes({{ 0, i, 1 }}),
      output_boxes({{ 0, i, 0 }}),
      output_boxes({{ 0, i, 3 }}),
      output_boxes({{ 0, i, 2 }}));
  }
}

如果我评论这些行，我不会得到错误 .

我已经包含了所有Header文件，并且除了以下5个LNK2019之外没有任何编译器错误或警告：

TensorflowInference.obj：错误LNK2019：未解析的外部符号“public：class tf :: TensorflowTensor :: TensorView __cdecl tf :: TensorflowTensor :: View（void）”（?? $ View @ M $ 01 @ TensorflowTensor @ tf @@ QEAA？ AV？$ TensorView @ M $ 01 @ 01 @XZ）在函数“public：void __cdecl tf :: TensorflowInference :: detect（class cv :: Mat const＆，class std :: vector>＆）const”中引用（？detect @ TensorflowInference @ tf @@ QEBAXAEBVMat @ cv @@ AEAV？$ vector @ UDetection @ tf @@ V？$ allocator @ UDetection @ tf @@@ std @@@ std @@@ Z）TensorflowInference.obj：错误LNK2019：未解决的外部问题符号“public：float const＆__cdecl tf :: TensorflowTensor :: TensorView :: operator（）（class std :: array）const”（?? ?? R？$ TensorView @ M $ 01 @ TensorflowTensor @ tf @@ QEBAAEBMV？$ array @ _K $ 01 @ std @@@ Z）在函数“public：void __cdecl tf :: TensorflowInference :: detect（class cv :: Mat const＆，class std :: vector>＆）const”中引用（？detect @ TensorflowInference @ tf @@ QEBAXAEBVMat @ cv @@ AEAV？$ vector @ UDetection @ tf @@ V？$ allocator @ UDetection @ tf @@@ std @@@ std @@@ Z）TensorflowInference.obj：e rror LNK2019：未解析的外部符号“public：unsigned __int64 __cdecl tf :: TensorflowTensor :: TensorView :: NumElements（void）const”（？NumElements @？$ TensorView @ M $ 01 @ TensorflowTensor @ tf @@ QEBA_KXZ）在函数“public”中引用：void __cdecl tf :: TensorflowInference :: detect（class cv :: Mat const＆，class std :: vector>＆）const“（？detect @ TensorflowInference @ tf @@ QEBAXAEBVMat @ cv @@ AEAV？$ vector @ UDetection @ tf @@ V？$ allocator @ UDetection @ tf @@@ std @@@ std @@@ Z）TensorflowInference.obj：错误LNK2019：未解析的外部符号“public：class tf :: TensorflowTensor :: TensorView __cdecl tf :: TensorflowTensor ::查看（无效）“（查看@M $ 02 @ TensorflowTensor @ tf @@ QEAA？AV？$ TensorView @ M $ 02 @ 01 @ XZ）在函数”public：void cdecl tf :: TensorflowInference :: detect中引用（class cv :: Mat const＆，class std :: vector>＆）const“（？detect @ TensorflowInference @ tf @@ QEBAXAEBVMat @ cv @@ AEAV？$ vector @ UDetection @ tf @@ V？$ allocator @ UDetection @ tf @@@ std @@@ std @@@ Z）TensorflowInference.obj：错误LNK2019：未解析的外部符号“public： float const＆ cdecl tf :: TensorflowTensor :: TensorView :: operator（）（class std :: array）const“（?? R？$ TensorView @ M $ 02 @ TensorflowTensor @ tf @@ QEBAAEBMV？$ array @ _K $ 02 @std @@@ Z）在函数“public：void __cdecl tf :: TensorflowInference :: detect（class cv :: Mat const＆，class std :: vector>＆）const”中引用（？detect @ TensorflowInference @ tf @@ QEBAXAEBVMat @ CV @@ AEAV？$ @载体@ UDetection TF @@ V'$ @分配器@ UDetection TF @@@ STD @@@ STD @@@ Z）

主啊，那是一面文字，但我只包括错误的重要线条 .

我感谢任何帮助我解决这些错误的提示！我对C编程还很陌生，特别是模板仍然给我带来了一些痛苦 .