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UnitSP.cu
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UnitSP.cu
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#include "SpatialPooler.cu"
#include <assert.h>
#include <math.h>
#include <stdio.h>
#include <algorithm>
using namespace std;
template <typename T>
bool compare(const T* corr_vec, const T* out_vec, UInt size)
{
for(int i=0; i < size; i++)
{
printf("%.2f \t %.2f \t %d \n", (float)corr_vec[i], (float)out_vec[i], i);
// printf("%d, ", out_vec[i]);
if(roundf(corr_vec[i] * 100) / 100 != roundf(out_vec[i] * 100) / 100)
return false;
}
return true;
}
void printErrorMessage(cudaError_t error, int memorySize){
printf("==================================================\n");
printf("MEMORY ERROR : %s\n", cudaGetErrorString(error));
printf("==================================================\n");
}
#define checkError(ans) { gpuAssert((ans), __FILE__, __LINE__); }
inline void gpuAssert(cudaError_t code, const char *file, int line, bool abort=true)
{
if (code != cudaSuccess)
{
fprintf(stderr,"CUDA error: %s %s %d\n", cudaGetErrorString(code), file, line);
if (abort) exit(code);
}
}
// void setup_device2D(args& ar, bool* in_host, UInt* numPotential, UInt* potentialPools, Real* permanences, Real* boosts, const UInt SP_SIZE, const UInt IN_SIZE, const UInt MAX_CONNECTED)
// {
// cudaError_t result;
// // result = cudaMalloc((void **) &ar_dev, sizeof(ar)); if(result) printErrorMessage(result, 0);
// result = cudaMalloc((void **) &ar.in_dev, IN_SIZE*sizeof(bool)); if(result) printErrorMessage(result, 0);
// result = cudaMalloc((void **) &ar.cols_dev, SP_SIZE*sizeof(bool)); if(result) printErrorMessage(result, 0);
// result = cudaMalloc((void **) &ar.numPot_dev, SP_SIZE*sizeof(UInt)); if(result) printErrorMessage(result, 0);
// result = cudaMallocPitch((void **) &ar.pot_dev, &ar.pot_pitch_in_bytes, MAX_CONNECTED*sizeof(UInt), SP_SIZE*sizeof(UInt)); if(result) printErrorMessage(result, 0); // width, height, x, y
// result = cudaMallocPitch((void **) &ar.per_dev, &ar.per_pitch_in_bytes, MAX_CONNECTED*sizeof(Real), SP_SIZE*sizeof(Real)); if(result) printErrorMessage(result, 0);
// result = cudaMallocPitch((void **) &ar.odc_dev, &ar.odc_pitch_in_bytes, MAX_CONNECTED*sizeof(Real), SP_SIZE*sizeof(Real)); if(result) printErrorMessage(result, 0);
// result = cudaMallocPitch((void **) &ar.adc_dev, &ar.adc_pitch_in_bytes, MAX_CONNECTED*sizeof(Real), SP_SIZE*sizeof(Real)); if(result) printErrorMessage(result, 0);
// result = cudaMallocPitch((void **) &ar.boosts_dev, &ar.bst_pitch_in_bytes, MAX_CONNECTED*sizeof(Real), SP_SIZE*sizeof(Real)); if(result) printErrorMessage(result, 0);
//
// // Memcpy to device
// // result = cudaMemcpy(ar_dev, &ar, sizeof(ar), cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
// result = cudaMemcpy(ar.in_dev, in_host, IN_SIZE*sizeof(bool), cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
// result = cudaMemcpy(ar.numPot_dev, numPotential, SP_SIZE*sizeof(UInt), cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
// result = cudaMemcpy2D(ar.pot_dev, ar.pot_pitch_in_bytes, potentialPools, MAX_CONNECTED*sizeof(UInt), MAX_CONNECTED*sizeof(UInt), SP_SIZE, cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
// result = cudaMemcpy2D(ar.per_dev, ar.per_pitch_in_bytes, permanences, MAX_CONNECTED*sizeof(Real), MAX_CONNECTED*sizeof(Real), SP_SIZE, cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
// result = cudaMemcpy2D(ar.boosts_dev, ar.bst_pitch_in_bytes, boosts, MAX_CONNECTED*sizeof(Real), MAX_CONNECTED*sizeof(Real), SP_SIZE, cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
// }
//
// void setup_device1D(args& ar, bool* in_host, UInt* numPotential, UInt* potentialPools, Real* permanences, Real* boosts, const UInt SP_SIZE, const UInt IN_SIZE, const UInt MAX_CONNECTED)
// {
// cudaError_t result;
// // result = cudaMalloc((void **) &ar_dev, sizeof(ar)); if(result) printErrorMessage(result, 0);
// result = cudaMalloc((void **) &ar.in_dev, IN_SIZE*sizeof(bool)); if(result) printErrorMessage(result, 0);
// result = cudaMalloc((void **) &ar.olaps_dev, SP_SIZE*sizeof(UInt)); if(result) printErrorMessage(result, 0);
// result = cudaMalloc((void **) &ar.cols_dev, SP_SIZE*sizeof(bool)); if(result) printErrorMessage(result, 0);
// result = cudaMalloc((void **) &ar.numPot_dev, SP_SIZE*sizeof(UInt)); if(result) printErrorMessage(result, 0);
// result = cudaMalloc((void **) &ar.pot_dev, MAX_CONNECTED*SP_SIZE*sizeof(UInt)); if(result) printErrorMessage(result, 0); // width, height, x, y
// result = cudaMalloc((void **) &ar.per_dev, MAX_CONNECTED*SP_SIZE*sizeof(Real)); if(result) printErrorMessage(result, 0);
// result = cudaMalloc((void **) &ar.odc_dev, MAX_CONNECTED*SP_SIZE*sizeof(Real)); if(result) printErrorMessage(result, 0);
// result = cudaMalloc((void **) &ar.adc_dev, MAX_CONNECTED*SP_SIZE*sizeof(Real)); if(result) printErrorMessage(result, 0);
// result = cudaMalloc((void **) &ar.boosts_dev, MAX_CONNECTED*SP_SIZE*sizeof(Real)); if(result) printErrorMessage(result, 0);
//
// // Memcpy to device
// // result = cudaMemcpy(ar_dev, &ar, sizeof(ar), cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
// result = cudaMemcpy(ar.in_dev, in_host, IN_SIZE*sizeof(bool), cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
// result = cudaMemcpy(ar.numPot_dev, numPotential, SP_SIZE*sizeof(UInt), cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
// result = cudaMemcpy(ar.pot_dev, potentialPools, MAX_CONNECTED*SP_SIZE*sizeof(UInt), cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
// result = cudaMemcpy(ar.per_dev, permanences, MAX_CONNECTED*SP_SIZE*sizeof(Real), cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
// result = cudaMemcpy(ar.boosts_dev, boosts, MAX_CONNECTED*SP_SIZE*sizeof(Real), cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
// }
void setup_device_pitched(args& ar, bool* in_host, UInt* numPotential, UInt* potentialPools, Real* permanences, Real* boosts, const UInt SP_SIZE, const UInt IN_SIZE, const UInt MAX_CONNECTED)
{
size_t pot_dev_pitch_in_bytes, per_dev_pitch_in_bytes;
checkError( cudaMallocPitch((void **) &ar.pot_dev, &pot_dev_pitch_in_bytes, MAX_CONNECTED*sizeof(UInt), ar.SP_SIZE) );
checkError( cudaMallocPitch((void **) &ar.per_dev, &per_dev_pitch_in_bytes, MAX_CONNECTED*sizeof(Real), ar.SP_SIZE) );
ar.pot_dev_pitch = pot_dev_pitch_in_bytes / sizeof(UInt);
ar.per_dev_pitch = per_dev_pitch_in_bytes / sizeof(Real);
checkError( cudaMalloc((void **) &ar.boosts_dev, ar.SP_SIZE*ar.num_connected*sizeof(Real)) );
checkError( cudaMalloc((void **) &ar.in_dev, ar.IN_SIZE*sizeof(bool)) );
checkError( cudaMalloc((void **) &ar.olaps_dev, ar.SP_SIZE*sizeof(UInt)) );
checkError( cudaMalloc((void **) &ar.cols_dev, ar.SP_SIZE*sizeof(bool)) );
checkError( cudaMalloc((void **) &ar.numPot_dev, ar.SP_SIZE*sizeof(UInt)) );
checkError( cudaMalloc((void **) &ar.odc_dev, ar.MAX_CONNECTED*ar.SP_SIZE*sizeof(Real)) );
checkError( cudaMalloc((void **) &ar.adc_dev, ar.MAX_CONNECTED*ar.SP_SIZE*sizeof(Real)) );
checkError( cudaMalloc((void **) &ar.minOdc_dev, ar.NUM_BLOCKS*sizeof(Real)) );
checkError( cudaMalloc((void **) &ar.dev_states, ar.SP_SIZE*ar.BLOCK_SIZE*sizeof(curandState)) );
checkError( cudaMalloc((void **) &ar.boosts_dev, MAX_CONNECTED*SP_SIZE*sizeof(Real)) );
cudaError_t result;
result = cudaMemcpy(ar.in_dev, in_host, IN_SIZE*sizeof(bool), cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
result = cudaMemcpy(ar.numPot_dev, numPotential, SP_SIZE*sizeof(UInt), cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
result = cudaMemcpy2D(ar.pot_dev, pot_dev_pitch_in_bytes, potentialPools, MAX_CONNECTED*sizeof(UInt), MAX_CONNECTED*sizeof(UInt), SP_SIZE, cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
result = cudaMemcpy2D(ar.per_dev, per_dev_pitch_in_bytes, permanences, MAX_CONNECTED*sizeof(Real), MAX_CONNECTED*sizeof(Real), SP_SIZE, cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
result = cudaMemcpy(ar.boosts_dev, boosts, MAX_CONNECTED*SP_SIZE*sizeof(Real), cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
}
void free_memory(args& ar)
{
cudaFree(ar.in_dev); cudaFree(ar.cols_dev); cudaFree(ar.pot_dev); cudaFree(ar.per_dev); cudaFree(ar.boosts_dev);
cudaFree(ar.odc_dev); cudaFree(ar.adc_dev); cudaFree(ar.numPot_dev);
}
void testCalculateOverlap()
{
args ar;
const UInt SP_SIZE = 16;
const UInt IN_SIZE = 32;
const UInt BLOCK_SIZE = 8;
const UInt NUM_BLOCKS = SP_SIZE/BLOCK_SIZE;
const UInt MAX_CONNECTED = 4;
const UInt IN_BLOCK_SIZE = IN_SIZE/NUM_BLOCKS;
ar.synPermConnected = 0.1;
ar.SP_SIZE = SP_SIZE;
ar.IN_SIZE = IN_SIZE;
ar.BLOCK_SIZE = BLOCK_SIZE;
ar.NUM_BLOCKS = NUM_BLOCKS;
ar.MAX_CONNECTED = MAX_CONNECTED;
ar.IN_BLOCK_SIZE = IN_BLOCK_SIZE;
//0, 1, 2, 3, 4, 5, 6, 7
bool in_host[IN_SIZE] = { 0, 1, 0, 1, 0, 1, 0, 1,
//8, 9, 1, 1, 2, 3, 4, 5
1, 0, 1, 0, 1, 0, 1, 0,
1, 1, 1, 1, 0, 0, 0, 0,
0, 0, 0, 0, 1, 1, 1, 1
};
UInt potential[SP_SIZE*MAX_CONNECTED] = { 0, 2, 3, 5,
1, 3, 4, 7,
2, 5, 6, 7,
1, 4, 5, 11,
3, 10, 11, 15,
1, 9, 12, 14,
0, 13, 14, 15,
1, 8, 9, 12, // 1st block
2, 5, 6, 7,
1, 4, 5, 6,
3, 4, 6, 7,
1, 11, 13, 14,
0, 8, 10, 15,
1, 9, 10, 11,
2, 5, 9, 12,
1, 4, 5, 13, // 2nd block
};
Real permanences[SP_SIZE*MAX_CONNECTED] = { 0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
};
Real boosts[SP_SIZE*MAX_CONNECTED];
std::fill_n(boosts, SP_SIZE*MAX_CONNECTED, 1);
UInt numPot[SP_SIZE];
std::fill_n(numPot, SP_SIZE, MAX_CONNECTED);
UInt correct_overlaps[SP_SIZE] = { 1, 2, 2, 0, 1, 1, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1 };
// std::fill_n(correct_overlaps, ar.SP_SIZE, 0);
UInt olaps[SP_SIZE];
// setup_device1D(ar, in_host, numPot, potential, permanences, boosts, ar.SP_SIZE, IN_SIZE, ar.MAX_CONNECTED);
setup_device_pitched(ar, in_host, numPot, potential, permanences, boosts, SP_SIZE, IN_SIZE, MAX_CONNECTED);
int sm = ar.BLOCK_SIZE*sizeof(UInt) + ar.IN_BLOCK_SIZE*sizeof(bool);
calculateOverlap_wrapper<<<ar.NUM_BLOCKS, ar.BLOCK_SIZE, sm>>>(ar.in_dev, ar.pot_dev, ar.per_dev, ar.boosts_dev, ar.numPot_dev, ar.synPermConnected, ar.IN_BLOCK_SIZE, ar.MAX_CONNECTED, ar.olaps_dev, ar.SP_SIZE, ar.pot_dev_pitch, ar.per_dev_pitch);
cudaError_t result = cudaMemcpy(olaps, ar.olaps_dev, ar.SP_SIZE*sizeof(UInt), cudaMemcpyDeviceToHost); if(result) printErrorMessage(result, 0);
assert(compare<UInt>(correct_overlaps, olaps, ar.SP_SIZE));
free_memory(ar);
}
void testInhibitColumns()
{
// It is enough to test a single block here
const UInt BLOCK_SIZE = 16;
Real localAreaDensity = 0.3;
// TODO: Maybe we should implement some tie-breaking
UInt olaps[BLOCK_SIZE] = { 10, 15, 8, 9, 14, 10, 23, 19, 3, 20, 19, 27, 11, 4, 15, 2 };
bool correct_active[BLOCK_SIZE] = { 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0 };
bool actual_active[BLOCK_SIZE];
bool* cols_dev;
UInt* olaps_dev;
cudaError_t result = cudaMalloc((void **) &cols_dev, BLOCK_SIZE*sizeof(bool)); if(result) printErrorMessage(result, 0);
result = cudaMalloc((void **) &olaps_dev, BLOCK_SIZE*sizeof(UInt)); if(result) printErrorMessage(result, 0);
result = cudaMemcpy(olaps_dev, olaps, BLOCK_SIZE*sizeof(UInt), cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
inhibitColumns_wrapper<<<1, BLOCK_SIZE, BLOCK_SIZE*(sizeof(UInt)+sizeof(bool))>>>(olaps_dev, cols_dev, localAreaDensity, BLOCK_SIZE);
result = cudaMemcpy(actual_active, cols_dev, BLOCK_SIZE*sizeof(bool), cudaMemcpyDeviceToHost); if(result) printErrorMessage(result, 0);
assert(compare(correct_active, actual_active, BLOCK_SIZE));
cudaFree(cols_dev); cudaFree(olaps_dev);
}
void testAdaptSynapses()
{
const UInt SP_SIZE = 16;
const UInt IN_SIZE = 32;
const UInt BLOCK_SIZE = 8;
const UInt NUM_BLOCKS = SP_SIZE/BLOCK_SIZE;
const UInt MAX_CONNECTED = 4;
const UInt IN_BLOCK_SIZE = IN_SIZE/NUM_BLOCKS;
Real synPermActiveInc = 0.05;
Real synPermInactiveDec = 0.02;
args ar;
ar.SP_SIZE = SP_SIZE;
ar.IN_SIZE = IN_SIZE;
ar.BLOCK_SIZE = BLOCK_SIZE;
ar.NUM_BLOCKS = NUM_BLOCKS;
ar.MAX_CONNECTED = MAX_CONNECTED;
ar.IN_BLOCK_SIZE = IN_BLOCK_SIZE;
ar.num_connected = MAX_CONNECTED;
//0, 1, 2, 3, 4, 5, 6, 7
bool in_host[IN_SIZE] = { 0, 1, 0, 1, 0, 1, 0, 1,
//8, 9, 1, 1, 2, 3, 4, 5
1, 0, 1, 0, 1, 0, 1, 0,
1, 1, 1, 1, 0, 0, 0, 0,
0, 0, 0, 0, 1, 1, 1, 1 };
UInt potential[SP_SIZE*MAX_CONNECTED] = { 0, 2, 3, 5,
1, 3, 4, 7,
2, 5, 6, 7,
1, 4, 5, 11,
3, 10, 11, 15,
1, 9, 12, 14,
0, 13, 14, 15,
1, 8, 9, 12, // 1st block
2, 5, 6, 7,
1, 4, 5, 6,
3, 4, 6, 7,
1, 11, 13, 14,
0, 8, 10, 15,
1, 9, 10, 11,
2, 5, 9, 12,
1, 4, 5, 13, // 2nd block
};
bool active[SP_SIZE] = { 0, 1, 1, 0, 0, 1, 1, 0,
0, 0, 0, 1, 0, 0, 1, 0 };
Real adapted_permanences[SP_SIZE*MAX_CONNECTED] = {
0.09, 0.11, 0.09, 0.11,
0.14, 0.16, 0.07, 0.16,
0.07, 0.16, 0.07, 0.16,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.14, 0.09, 0.14, 0.16,
0.07, 0.09, 0.14, 0.09,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.14, 0.09, 0.14, 0.16,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.14, 0.09, 0.07, 0.16,
0.09, 0.11, 0.09, 0.11 };
Real permanences[SP_SIZE*MAX_CONNECTED] = { 0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
0.09, 0.11, 0.09, 0.11,
};
UInt numPot[SP_SIZE];
std::fill_n(numPot, SP_SIZE, MAX_CONNECTED);
Real boosts[SP_SIZE*MAX_CONNECTED];
std::fill_n(boosts, SP_SIZE*MAX_CONNECTED, 1);
// setup_device1D(ar, in_host, numPot, potential, permanences, boosts, SP_SIZE, IN_SIZE, MAX_CONNECTED);
setup_device_pitched(ar, in_host, numPot, potential, permanences, boosts, SP_SIZE, IN_SIZE, MAX_CONNECTED);
cudaError_t result = cudaMemcpy(ar.cols_dev, active, SP_SIZE*sizeof(bool), cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
adaptSynapses_wrapper<<<NUM_BLOCKS, BLOCK_SIZE, 0>>>(ar.in_dev, ar.pot_dev, ar.per_dev, synPermActiveInc, synPermInactiveDec, ar.cols_dev, IN_BLOCK_SIZE, ar.per_dev_pitch, ar.pot_dev_pitch, ar.num_connected, SP_SIZE);
// result = cudaMemcpy(permanences, ar.per_dev, SP_SIZE*MAX_CONNECTED*sizeof(Real), cudaMemcpyDeviceToHost); if(result) printErrorMessage(result, 0);
result = cudaMemcpy2D(permanences, MAX_CONNECTED*sizeof(Real), ar.per_dev, ar.per_dev_pitch*sizeof(Real), MAX_CONNECTED*sizeof(Real), SP_SIZE, cudaMemcpyDeviceToHost); if(result) printErrorMessage(result, 0);
assert(compare(adapted_permanences, permanences, SP_SIZE*MAX_CONNECTED));
free_memory(ar);
}
void testAverageActivity()
{
const UInt BLOCK_SIZE = 512;
bool active[BLOCK_SIZE] = { 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
};
bool* cols_dev;
Real* avg_dev;
Real avg_host[BLOCK_SIZE];
cudaError_t result = cudaMalloc((void **) &cols_dev, BLOCK_SIZE*sizeof(bool)); if(result) printErrorMessage(result, 0);
result = cudaMalloc((void **) &avg_dev, BLOCK_SIZE*sizeof(Real)); if(result) printErrorMessage(result, 0);
result = cudaMemcpy(cols_dev, active, BLOCK_SIZE*sizeof(bool), cudaMemcpyHostToDevice); if(result) printErrorMessage(result, 0);
averageActivity_wrapper<<<1, BLOCK_SIZE, BLOCK_SIZE*sizeof(Real)>>>(cols_dev, avg_dev);
result = cudaMemcpy(&avg_host, avg_dev, BLOCK_SIZE*sizeof(Real), cudaMemcpyDeviceToHost); if(result) printErrorMessage(result, 0);
for(int i=0; i<BLOCK_SIZE; i++)
{
printf("%.2f ", avg_host[i]);
assert(avg_host[i] == 0.25);
}
printf("\n");
cudaFree(cols_dev); cudaFree(avg_dev);
}
void testMinOdcUpdate()
{
// This should test multiple blocks...
}
int main(int argc, const char * argv[])
{
testCalculateOverlap();
testInhibitColumns();
testAdaptSynapses();
testAverageActivity();
}