Question

如何打印到下面定义的张量的屏幕内容

std::vector<tensorflow::Tensor> finalOutput;

并通过运行以下操作分配值

tensorflow::Status run_status = session->Run({{"x",input_tensor}, 
                                                       {"keep_prob", keep_prob}},
                                                      {"prediction"},
                                                      {},
                                                  &finalOutput);

Answer 1

example：

// The session will initialize the outputs
std::vector<tensorflow::Tensor> outputs;

// Run the session, evaluating our "c" operation from the graph
status = session->Run(inputs, {"c"}, {}, &outputs);
if (!status.ok()) {
  std::cout << status.ToString() << "\n";
  return 1;
}

// Grab the first output (we only evaluated one graph node: "c")
// and convert the node to a scalar representation.
auto output_c = outputs[0].scalar<float>();

// (There are similar methods for vectors and matrices here:
// https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/public/tensor.h)

// Print the results
std::cout << outputs[0].DebugString() << "\n"; // Tensor<type: float shape: [] values: 30>
std::cout << output_c() << "\n"; // 30

Answer 2

打印 d - 维度张量流:: Tensor T

#define printTensor(T, d) \
    std::cout<< (T).tensor<float, (d)>() << std::endl

Tensorflow：用C ++打印张量的内容

2 个答案: