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#include "neural/network.h"
#include "neural/column.h"
#include "neural/row.h"
#include "neural/neuron.h"
#include <time.h>
#include <bu/random.h>
#include <bu/randomcmwc.h>
#include <bu/sio.h>
using namespace Bu;
#include <stdio.h>
#include <png.h>
#include <zlib.h>
int main( int argc, char *argv[] )
{
Bu::Random::setGenerator<Bu::RandomCmwc>();
Bu::Random::seed( time( NULL ) );
/*
Neural::Column<float> *c = new Neural::Column<float>();
Neural::Row<float> *r1 = new Neural::Row<float>();
r1->addNode( new Neural::Neuron<float>() );
r1->addNode( new Neural::Neuron<float>() );
r1->addNode( new Neural::Neuron<float>() );
r1->addNode( new Neural::Neuron<float>() );
r1->addNode( new Neural::Neuron<float>() );
c->addNode( r1 );
Neural::Row<float> *r2 = new Neural::Row<float>();
r2->addNode( new Neural::Neuron<float>() );
r2->addNode( new Neural::Neuron<float>() );
r2->addNode( new Neural::Neuron<float>() );
r2->addNode( new Neural::Neuron<float>() );
r2->addNode( new Neural::Neuron<float>() );
r2->addNode( new Neural::Neuron<float>() );
r2->addNode( new Neural::Neuron<float>() );
c->addNode( r2 );
Neural::Row<float> *r3 = new Neural::Row<float>();
r3->addNode( new Neural::Neuron<float>() );
r3->addNode( new Neural::Neuron<float>() );
r3->addNode( new Neural::Neuron<float>() );
c->addNode( r3 );
*/
Neural::Network<float> *pNet = Neural::Network<float>::fromStr(
"column(row(5),row(12),row(3))"
);
Neural::Node<float> *c = pNet->getRoot();
c->finalize( 2 );
sio << "Total weights: " << c->getNumWeights() << sio.nl;
sio << "Total biases: " << c->getNumBiases() << sio.nl;
sio << "Network inputs: " << c->getNumInputs() << sio.nl;
sio << "Network outputs: " << c->getNumOutputs() << sio.nl;
float *pWeights = new float[c->getNumWeights()];
float *pBiases = new float[c->getNumBiases()];
for( int j = 0; j < c->getNumWeights(); j++ )
pWeights[j] = (Bu::Random::randNorm()*2.0)-1.0;
for( int j = 0; j < c->getNumBiases(); j++ )
pBiases[j] = (Bu::Random::randNorm()*2.0)-1.0;
c->setWeights( pWeights );
c->setBiases( pBiases );
delete pWeights;
delete pBiases;
float *pIn = new float[c->getNumInputs()];
float *pOut = new float[c->getNumOutputs()];
FILE *fp = fopen("test.png", "wb");
if (!fp)
return 1;
png_structp png_ptr = png_create_write_struct
(PNG_LIBPNG_VER_STRING, NULL, NULL, NULL );
if (!png_ptr)
return 1;
png_infop info_ptr = png_create_info_struct(png_ptr);
if (!info_ptr)
{
png_destroy_write_struct(&png_ptr,
(png_infopp)NULL);
return 1;
}
png_set_IHDR(png_ptr, info_ptr, 500, 500, 8, PNG_COLOR_TYPE_RGB,
PNG_INTERLACE_NONE, PNG_COMPRESSION_TYPE_DEFAULT,
PNG_FILTER_TYPE_DEFAULT
);
/* Set the zlib compression level */
png_set_compression_level(png_ptr,
Z_BEST_COMPRESSION);
/* Set other zlib parameters for compressing IDAT */
png_set_compression_mem_level(png_ptr, 8);
png_set_compression_strategy(png_ptr,
Z_DEFAULT_STRATEGY);
png_set_compression_window_bits(png_ptr, 15);
png_set_compression_method(png_ptr, 8);
png_set_compression_buffer_size(png_ptr, 8192);
/* Set zlib parameters for text compression
* If you don't call these, the parameters
* fall back on those defined for IDAT chunks
*/
png_set_text_compression_mem_level(png_ptr, 8);
png_set_text_compression_strategy(png_ptr,
Z_DEFAULT_STRATEGY);
png_set_text_compression_window_bits(png_ptr, 15);
png_set_text_compression_method(png_ptr, 8);
png_bytep *row_pointers;
row_pointers = new png_bytep[500];
for( int y = 0; y < 500; y++ )
{
row_pointers[y] = new png_byte[500*3];
for( int x = 0; x < 500; x++ )
{
pIn[0] = (x/499.0)*2.0-1.0;
pIn[1] = (y/499.0)*2.0-1.0;
c->process( pIn, pOut );
row_pointers[y][x*3+0] = pOut[0]*127+127;
row_pointers[y][x*3+1] = pOut[1]*127+127;
row_pointers[y][x*3+2] = pOut[2]*127+127;
}
}
png_init_io( png_ptr, fp );
png_set_rows( png_ptr, info_ptr, row_pointers );
png_write_png(png_ptr, info_ptr, PNG_TRANSFORM_IDENTITY, NULL);
if (setjmp(png_jmpbuf(png_ptr)))
{
png_destroy_write_struct(&png_ptr, &info_ptr);
fclose(fp);
return 1;
}
png_destroy_write_struct( &png_ptr, &info_ptr );
fclose( fp );
delete pNet;
return 0;
}
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