/// <summary>
/// Run the network using the run technique implemented by this trainer.
/// </summary>
/// <param name="mycaffe">Specifies an instance to the MyCaffeControl component.</param>
/// <param name="nN">Specifies the number of samples to run.</param>
/// <param name="type">Specifies the output data type returned as a raw byte stream.</param>
/// <returns>The run results are returned in the same native type as that of the CustomQuery used.</returns>
byte[] IXMyCaffeCustomTrainerRNN.Run(Component mycaffe, int nN, out string type)
{
if (m_itrainer == null)
{
m_itrainer = createTrainer(mycaffe, Stage.RNN);
}
IxTrainerRNN itrainer = m_itrainer as IxTrainerRNN;
if (itrainer == null)
{
throw new Exception("The trainer must be set to to 'RNN.SIMPLE' to run in recurrent learning mode.");
}
string strRunProperties = null;
IXMyCaffeCustomTrainerCallbackRNN icallback = m_icallback as IXMyCaffeCustomTrainerCallbackRNN;
if (icallback != null)
{
strRunProperties = icallback.GetRunProperties();
}
byte[] rgResults = itrainer.Run(nN, strRunProperties, out type);
m_itrainer.Shutdown(0);
m_itrainer = null;
return(rgResults);
}
/// <summary>
/// Run the network using the run technique implemented by this trainer.
/// </summary>
/// <param name="mycaffe">Specifies an instance to the MyCaffeControl component.</param>
/// <param name="nN">Specifies the number of samples to run.</param>
/// <param name="type">Specifies the output data type returned as a raw byte stream.</param>
/// <returns>The run results are returned in the same native type as that of the CustomQuery used.</returns>
public byte[] Run(Component mycaffe, int nN, out string type)
{
if (m_itrainer == null)
{
m_itrainer = createTrainer(mycaffe, Stage.RL);
}
string strRunProperties = null;
IXMyCaffeCustomTrainerCallbackRNN icallback = m_icallback as IXMyCaffeCustomTrainerCallbackRNN;
if (icallback != null)
{
strRunProperties = icallback.GetRunProperties();
}
IxTrainerRL itrainer = m_itrainer as IxTrainerRL;
if (itrainer == null)
{
throw new Exception("The IxTrainerRL interface must be implemented.");
}
byte[] rgResults = itrainer.Run(nN, strRunProperties, out type);
m_itrainer.Shutdown(0);
m_itrainer = null;
return(rgResults);
}
/// <summary>
/// Create a new trainer and use it to run a single run cycle.
/// </summary>
/// <param name="mycaffe">Specifies the MyCaffeControl to use.</param>
/// <param name="nN">Specifies the number of samples to run.</param>
/// <returns>The results of the run are returned.</returns>
float[] IXMyCaffeCustomTrainerRNN.Run(Component mycaffe, int nN)
{
if (m_itrainer == null)
{
m_itrainer = createTrainer(mycaffe, Stage.RNN);
}
IxTrainerRNN itrainer = m_itrainer as IxTrainerRNN;
if (itrainer == null)
{
throw new Exception("The trainer must be set to to 'RNN.SIMPLE' to run in recurrent learning mode.");
}
PropertySet runProp = null;
IXMyCaffeCustomTrainerCallbackRNN icallback = m_icallback as IXMyCaffeCustomTrainerCallbackRNN;
if (icallback != null)
{
runProp = icallback.GetRunProperties();
}
float[] rgResults = itrainer.Run(nN, runProp);
cleanup(0, false);
return(rgResults);
}
/// <summary>
/// Run the network using the run technique implemented by this trainer.
/// </summary>
/// <param name="mycaffe">Specifies an instance to the MyCaffeControl component.</param>
/// <param name="nN">Specifies the number of samples to run.</param>
/// <param name="type">Specifies the output data type returned as a raw byte stream.</param>
/// <returns>The run results are returned in the same native type as that of the CustomQuery used.</returns>
public byte[] Run(Component mycaffe, int nN, out string type)
{
if (m_itrainer == null)
{
m_itrainer = createTrainer(mycaffe);
}
string strRunProperties = null;
IXMyCaffeCustomTrainerCallbackRNN icallback = m_icallback as IXMyCaffeCustomTrainerCallbackRNN;
if (icallback != null)
{
strRunProperties = icallback.GetRunProperties();
}
byte[] rgResults = m_itrainer.Run(nN, strRunProperties, out type);
cleanup(0);
return(rgResults);
}
/// <summary>
/// Create a new trainer and use it to run a single run cycle.
/// </summary>
/// <param name="mycaffe">Specifies the MyCaffeControl to use.</param>
/// <param name="nN">Specifies the number of samples to run.</param>
/// <returns>The results of the run are returned.</returns>
public float[] Run(Component mycaffe, int nN)
{
if (m_itrainer == null)
{
m_itrainer = createTrainer(mycaffe);
}
PropertySet runProp = null;
IXMyCaffeCustomTrainerCallbackRNN icallback = m_icallback as IXMyCaffeCustomTrainerCallbackRNN;
if (icallback != null)
{
runProp = icallback.GetRunProperties();
}
float[] rgResults = m_itrainer.Run(nN, runProp);
cleanup(0);
return(rgResults);
}
/// <summary>
/// Create a new trainer and use it to run a single run cycle.
/// </summary>
/// <param name="mycaffe">Specifies the MyCaffeControl to use.</param>
/// <param name="nN">Specifies the number of samples to run.</param>
/// <returns>The results of the run are returned.</returns>
public float[] Run(Component mycaffe, int nN)
{
if (m_itrainer == null)
{
m_itrainer = createTrainer(mycaffe);
}
string strRunProperties = null;
IXMyCaffeCustomTrainerCallbackRNN icallback = m_icallback as IXMyCaffeCustomTrainerCallbackRNN;
if (icallback != null)
{
strRunProperties = icallback.GetRunProperties();
}
float[] rgResults = m_itrainer.Run(nN, strRunProperties);
m_itrainer.Shutdown(0);
m_itrainer = null;
return(rgResults);
}
