/** @copydoc LayerParameterBase::Copy */
public override void Copy(LayerParameterBase src)
{
MeanErrorLossParameter p = (MeanErrorLossParameter)src;
m_nAxis = p.m_nAxis;
m_meanErrorType = p.m_meanErrorType;
}
/// <summary>
/// Constructor.
/// </summary>
/// <param name="cuda">Cuda engine.</param>
/// <param name="log">General log.</param>
/// <param name="p">provides LossParameter loss_param, with options:
/// - axis (optional)
/// Specify a label value that whould be ignored when computing the loss.
/// - normalize (optional, default true)
/// If true, the loss is normalized by the number of (nonignored) labels
/// present; otherwise the loss is imply summed over spatial locations.
/// - axis (optional, default 1)
/// Specify the axis of the probability.
/// - mean_type (optional, default ME.MAE)
/// Specify the type of mean error to use.
/// </param>
public MeanErrorLossLayer(CudaDnn <T> cuda, Log log, LayerParameter p)
: base(cuda, log, p)
{
m_type = LayerParameter.LayerType.MEAN_ERROR_LOSS;
m_nAxis = p.mean_error_loss_param.axis;
m_meanType = p.mean_error_loss_param.mean_error_type;
m_blobWork = new Blob <T>(cuda, log);
}
