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raspberry pi 1でtensorflow lite その11


概要

raspberry pi 1でtensorflow liteやってみた。

kerasモデルからtfliteファイルを作ってラズパイで、実行。

データセットは、sin.


Makefileを書く。

CXXFLAGS ?= -I../tensorflow -I../tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include

LDFLAGS ?= -L../tensorflow/tensorflow/lite/tools/make/gen/rpi_armv6l/lib

.PHONY: all clean

all: lite2

lite2: main.cpp
g++ --std=c++11 main.cpp -O2 $(CXXFLAGS) $(LDFLAGS) -ltensorflow-lite -lstdc++ -lpthread -ldl -lm -o lite2

clean:
rm -f lite2


Makeして実行。

#include <vector>

#include <chrono>
#include <iostream>
#include "tensorflow/lite/model.h"
#include "tensorflow/lite/interpreter.h"
#include "tensorflow/lite/kernels/register.h"
#include <iostream>
#include <fstream>
#include <stdlib.h>
#include <math.h>
using namespace std;

bool is_error(TfLiteStatus const & status)
{
return status != kTfLiteOk;
}
int main(int argc, char const * argv[])
{
std::string a = "sin_model.tflite";
TfLiteStatus status;
std::unique_ptr<tflite::FlatBufferModel> model;
std::unique_ptr<tflite::Interpreter> interpreter;
std::cout << "0: Loading model: " << a << std::endl;
model = tflite::FlatBufferModel::BuildFromFile(a.c_str());
if (!model)
{
std::cerr << "0: Failed to load the model." << std::endl;
return -1;
}
std::cout << "1: The model was loaded successful." << std::endl;
tflite::ops::builtin::BuiltinOpResolver resolver;
tflite::InterpreterBuilder(* model, resolver)(& interpreter);
std::cout << "2: interpreter was build successful." << std::endl;
status = interpreter->AllocateTensors();
if (is_error(status))
{
std::cerr << "2: Failed to allocate the memory for tensors." << std::endl;
return -1;
}
std::cout << "3: The model was allocated successful." << std::endl;
ofstream fout("pred.csv");
float * in = interpreter->typed_input_tensor<float>(0);
float * out = interpreter->typed_output_tensor<float>(0);
fout << "x,y,p" << endl;
int i;
double x,
y;
double pi = acos(-1.0);
for (i = -20; i < 20; i++)
{
x = (double) i / 6;
y = sin(x);
in[0] = x;
status = interpreter->Invoke();
if (is_error(status))
{
std::cerr << "3: Failed to invoke the interpreter." << std::endl;
return -1;
}
std::printf ("%2.2f\n", out[0]);
fout << x << "," << y << "," << out[0] << endl;
}
cout << "ok" << endl;
fout.close();
return 0;
}


結果

sin.png

以上。