Francesco Gatti
46 lines
1.2 KiB
C++
46 lines
1.2 KiB
C++
#include<iostream>
|
|
#include "tkdnn.h"
|
|
|
|
const char *input_bin = "../tests/simple/input.bin";
|
|
const char *c0_bin = "../tests/simple/layers/conv1d_1.bin";
|
|
const char *l1_bin = "../tests/simple/layers/bidirectional_1.bin";
|
|
const char *l2_bin = "../tests/simple/layers/bidirectional_2.bin";
|
|
const char *output_bin = "../tests/simple/output.bin";
|
|
|
|
int main() {
|
|
|
|
// Network layout
|
|
tk::dnn::dataDim_t dim(1, 8, 1, 3);
|
|
tk::dnn::Network net(dim);
|
|
tk::dnn::Conv2d l0(&net, 4, 1, 2, 1, 1, 0, 0, c0_bin);
|
|
tk::dnn::LSTM l1(&net, 5, true, l1_bin);
|
|
tk::dnn::LSTM l2(&net, 5, false, l2_bin);
|
|
|
|
net.print();
|
|
|
|
// Load input
|
|
dnnType *data;
|
|
dnnType *input_h;
|
|
readBinaryFile(input_bin, dim.tot(), &input_h, &data);
|
|
|
|
printDeviceVector(dim.tot(), data);
|
|
dim.print(); //print initial dimension
|
|
|
|
TIMER_START
|
|
// Inference
|
|
data = net.infer(dim, data); dim.print();
|
|
TIMER_STOP
|
|
|
|
// Print result
|
|
std::cout<<"\n======= RESULT =======\n";
|
|
printDeviceVector(dim.tot(), data);
|
|
|
|
// Print real test
|
|
std::cout<<"\n==== CHECK RESULT ====\n";
|
|
dnnType *out;
|
|
dnnType *out_h;
|
|
readBinaryFile(output_bin, dim.tot(), &out_h, &out);
|
|
printDeviceVector(dim.tot(), out);
|
|
return 0;
|
|
}
|