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00020 #ifndef UTILS_H
00021 #define UTILS_H
00022
00029 #include "types.h"
00030
00031 #ifndef WIN32
00032 #include <sys/time.h>
00033 #else
00034 #include <windows.h>
00035 #endif
00036
00037 namespace nnfw {
00038
00039 class BaseNeuralNet;
00040 class LearningNetwork;
00041
00052 NNFW_API BaseNeuralNet* feedForwardNet( U_IntVec layers, const char* clusterType = "BiasedCluster", const char* linkerType = "MatrixLinker" );
00053
00065 class SimpleTimer {
00066 public:
00067 SimpleTimer() {
00068 #ifdef WIN32
00069 QueryPerformanceFrequency( &frequency );
00070 QueryPerformanceCounter( &baseCount );
00071 #else
00072 struct timeval tv;
00073 gettimeofday( &tv, NULL );
00074 lastTime = tv.tv_sec*1000000 + tv.tv_usec;
00075 #endif
00076 };
00077 int tac() {
00078 #ifdef WIN32
00079 unsigned ticks;
00080 QueryPerformanceCounter( &count );
00081 count.QuadPart -= baseCount.QuadPart;
00082 ticks = unsigned( count.QuadPart * LONGLONG (1000000) / frequency.QuadPart );
00083 return ticks;
00084 #else
00085 struct timeval tv;
00086 gettimeofday( &tv, NULL );
00087 int ret = (tv.tv_sec*1000000 + tv.tv_usec) - lastTime;
00088 lastTime = (tv.tv_sec*1000000 + tv.tv_usec);
00089 return ret;
00090 #endif
00091 };
00092 private:
00093 #ifdef WIN32
00094 LARGE_INTEGER count;
00095 LARGE_INTEGER frequency;
00096 LARGE_INTEGER baseCount;
00097 #else
00098 long int lastTime;
00099 #endif
00100 };
00101
00102 }
00103
00104 #endif