public void LoadData(NNTMSaveData data)
{
m_learnRate = data.m_learnRate;
m_batchSize = data.m_batchSize;
m_curveRange = data.m_curveRange;
m_curve = data.m_curve;
m_dropoutKeepRate = data.m_dropoutKeepRate;
m_weightDecayRate = data.m_weightDecayRate;
m_trainNetworkOnline = data.m_trainNetworkOnline;
m_saveSamplesOnline = data.m_saveSamplesOnline;
m_trainingCooldownOnlineMin = data.m_trainingCooldownOnlineMin;
m_trainingCooldownOnlineMax = data.m_trainingCooldownOnlineMax;
m_trainNetworkOffline = data.m_trainNetworkOffline;
m_trainingUnits = data.m_trainingUnits;
m_trainingCooldownOfflineMin = data.m_trainingCooldownOfflineMin;
m_trainingCooldownOfflineMax = data.m_trainingCooldownOfflineMax;
m_trainingCooldownOfflineGatherMin = data.m_trainingCooldownOfflineGatherMin;
m_trainingCooldownOfflineGatherMax = data.m_trainingCooldownOfflineGatherMax;
m_stopAtMaximumUnitCount = data.m_stopAtMaximumUnitCount;
m_trainingCooldownRdyOnline = Time.time + GetRandom(m_trainingCooldownOnlineMin, m_trainingCooldownOnlineMax);
m_trainingCooldownRdyOffline = Time.time + GetRandom(m_trainingCooldownOfflineMin, m_trainingCooldownOfflineMax);
m_trainingCooldownRdyOfflineGather = (m_trainingCooldownOfflineGatherMin < 0 && m_trainingCooldownOfflineGatherMax < 0) ? float.MaxValue : Time.time + GetRandom(m_trainingCooldownOfflineGatherMin, m_trainingCooldownOfflineGatherMax);
//m_trainingCooldownRdyOnline = data.m_trainingCooldownRdyOnline;
//m_trainingCooldownRdyOffline = data.m_trainingCooldownRdyOffline;
//m_trainingCooldownRdyOfflineGather = data.m_trainingCooldownRdyOfflineGather;
m_trainingUnitsCompleted = data.m_trainingUnitsCompleted;
m_currentSeed = data.m_currentSeed;
m_initSeed = data.m_initSeed;
}
public NNTMSaveData SaveData()
{
NNTMSaveData data = new NNTMSaveData
{
m_learnRate = m_learnRate,
m_batchSize = m_batchSize,
m_curveRange = m_curveRange,
m_curve = m_curve,
m_dropoutKeepRate = m_dropoutKeepRate,
m_weightDecayRate = m_weightDecayRate,
m_trainNetworkOnline = m_trainNetworkOnline,
m_saveSamplesOnline = m_saveSamplesOnline,
m_trainingCooldownOnlineMin = m_trainingCooldownOnlineMin,
m_trainingCooldownOnlineMax = m_trainingCooldownOnlineMax,
m_trainNetworkOffline = m_trainNetworkOffline,
m_trainingUnits = m_trainingUnits,
m_trainingCooldownOfflineMin = m_trainingCooldownOfflineMin,
m_trainingCooldownOfflineMax = m_trainingCooldownOfflineMax,
m_trainingCooldownOfflineGatherMin = m_trainingCooldownOfflineGatherMin,
m_trainingCooldownOfflineGatherMax = m_trainingCooldownOfflineGatherMax,
m_stopAtMaximumUnitCount = m_stopAtMaximumUnitCount,
//m_trainingCooldownRdyOnline = m_trainingCooldownRdyOnline,
//m_trainingCooldownRdyOffline = m_trainingCooldownRdyOffline,
//m_trainingCooldownRdyOfflineGather = m_trainingCooldownRdyOfflineGather,
m_trainingUnitsCompleted = m_trainingUnitsCompleted,
m_currentSeed = m_currentSeed,
m_initSeed = m_initSeed
};
return(data);
}
