本文介绍了如何设置 Tensorflow Lite C++ 的输入的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
限时送ChatGPT账号..我正在尝试使用 TensorflowLite 模型测试简单的 tensorflow lite c++ 代码.它得到两个浮点数并做异或.但是,当我更改输入时,输出不会更改.我猜行 interpreter->typed_tensor
是错误的,所以输入没有正确应用.我应该如何更改代码才能工作?
I'm trying to test simple tensorflow lite c++ code with TensorflowLite model.
It gets two floats and do xor. However when I change inputs, output doesn't change. I guess the line interpreter->typed_tensor<float>(0)[0] = x
is wrong so inputs aren't properly applied. How should I change the code to work?
这是我的代码
#include <stdio.h>
#include <stdlib.h>
#include <string>
#include <vector>
#include "tensorflow/contrib/lite/kernels/register.h"
#include "tensorflow/contrib/lite/model.h"
#include "tensorflow/contrib/lite/string_util.h"
#include "tensorflow/contrib/lite/tools/mutable_op_resolver.h"
int main(){
const char graph_path[14] = "xorGate.lite";
const int num_threads = 1;
std::string input_layer_type = "float";
std::vector<int> sizes = {2};
float x,y;
std::unique_ptr<tflite::FlatBufferModel> model(
tflite::FlatBufferModel::BuildFromFile(graph_path));
if(!model){
printf("Failed to mmap model\n")
exit(0);
}
tflite::ops::builtin::BuiltinOpResolver resolver;
std::unique_ptr<tflite::Interpreter> interpreter;
tflite::InterpreterBuilder(*model, resolver)(&interpreter);
if(!interpreter){
printf("Failed to construct interpreter\n");
exit(0);
}
interpreter->UseNNAPI(false);
if(num_threads != 1){
interpreter->SetNumThreads(num_threads);
}
int input = interpreter->inputs()[0];
interpreter->ResizeInputTensor(0, sizes);
if(interpreter->AllocateTensors() != kTfLiteOk){
printf("Failed to allocate tensors\n");
exit(0);
}
//read two numbers
std::printf("Type two float numbers : ");
std::scanf("%f %f", &x, &y);
interpreter->typed_tensor<float>(0)[0] = x;
interpreter->typed_tensor<float>(0)[1] = y;
printf("hello\n");
fflush(stdout);
if(interpreter->Invoke() != kTfLiteOk){
std::printf("Failed to invoke!\n");
exit(0);
}
float* output;
output = interpreter->typed_output_tensor<float>(0);
printf("output = %f\n", output[0]);
return 0;
}
这是我运行代码时出现的消息.
This is a message comes out when i run the code.
root@localhost:/home# ./a.out
nnapi error: unable to open library libneuralnetworks.so
Type two float numbers : 1 1
hello
output = 0.112958
root@localhost:/home# ./a.out
nnapi error: unable to open library libneuralnetworks.so
Type two float numbers : 0 1
hello
output = 0.112958
推荐答案
通过更改解决
interpreter->typed_tensor<float>(0)[0] = x;
到
interpreter->typed_input_tensor<float>(0)[0] = x;
这篇关于如何设置 Tensorflow Lite C++ 的输入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!
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