/// <summary>
/// Creates a new copy of this instance of the parameter.
/// </summary>
/// <param name="bCloneLayers">When <i>true</i>, each layer is cloned as well.</param>
/// <param name="nSolverCount">Optionally, specifies a solver count for the clone.</param>
/// <param name="nSolverRank">Optionally, specifies a solver rank for the clone.</param>
/// <returns>A new instance of this parameter is returned.</returns>
public NetParameter Clone(bool bCloneLayers = true, int?nSolverCount = null, int?nSolverRank = null)
{
NetParameter p = new NetParameter();
p.m_nProjectID = m_nProjectID;
p.m_strName = m_strName;
p.m_rgstrInput = Utility.Clone <string>(m_rgstrInput);
p.m_rgInputShape = Utility.Clone <BlobShape>(m_rgInputShape);
p.m_rgInputDim = Utility.Clone <int>(m_rgInputDim);
p.m_bForceBackward = m_bForceBackward;
p.m_state = (m_state != null) ? m_state.Clone() : null;
p.m_bDebugInfo = m_bDebugInfo;
if (bCloneLayers)
{
p.m_rgLayers = Utility.Clone <LayerParameter>(m_rgLayers);
}
if (nSolverCount == null)
{
nSolverCount = m_nSolverCount;
}
if (nSolverRank == null)
{
nSolverRank = m_nSolverRank;
}
p.m_nSolverCount = nSolverCount.Value;
p.m_nSolverRank = nSolverRank.Value;
return(p);
}
/// <summary>
/// Load a new instance of the parameter from a binary reader.
/// </summary>
/// <param name="br">Specifies the binary reader.</param>
/// <returns>The new instance is returned.</returns>
public static NetParameter Load(BinaryReader br)
{
NetParameter p = new NetParameter();
p.m_strName = br.ReadString();
p.m_rgstrInput = Utility.Load <string>(br);
p.m_rgInputShape = Utility.Load <BlobShape>(br);
p.m_rgInputDim = Utility.Load <int>(br);
p.m_bForceBackward = br.ReadBoolean();
p.m_state = NetState.Load(br);
p.m_bDebugInfo = br.ReadBoolean();
p.m_rgLayers = Utility.Load <LayerParameter>(br);
return(p);
}
/// <summary>
/// Parse a RawProto into a new instance of the parameter.
/// </summary>
/// <param name="rp">Specifies the RawProto to parse.</param>
/// <returns>A new instance of the parameter is returned.</returns>
public static NetParameter FromProto(RawProto rp)
{
string strVal;
NetParameter p = new NetParameter();
if ((strVal = rp.FindValue("name")) != null)
{
p.name = strVal;
}
p.input = rp.FindArray <string>("input");
RawProtoCollection rgp = rp.FindChildren("input_shape");
foreach (RawProto rpChild in rgp)
{
p.input_shape.Add(BlobShape.FromProto(rpChild));
}
p.input_dim = rp.FindArray <int>("input_dim");
if ((strVal = rp.FindValue("force_backward")) != null)
{
p.force_backward = bool.Parse(strVal);
}
RawProto rpState = rp.FindChild("state");
if (rpState != null)
{
p.state = NetState.FromProto(rpState);
}
if ((strVal = rp.FindValue("debug_info")) != null)
{
p.debug_info = bool.Parse(strVal);
}
rgp = rp.FindChildren("layer", "layers");
foreach (RawProto rpChild in rgp)
{
p.layer.Add(LayerParameter.FromProto(rpChild));
}
return(p);
}
/// <summary>
/// Parses a new SolverParameter from a RawProto.
/// </summary>
/// <param name="rp">Specifies the RawProto representing the SolverParameter.</param>
/// <returns>The new SolverParameter instance is returned.</returns>
public static SolverParameter FromProto(RawProto rp)
{
string strVal;
SolverParameter p = new SolverParameter();
RawProto rpNetParam = rp.FindChild("net_param");
if (rpNetParam != null)
{
p.net_param = NetParameter.FromProto(rpNetParam);
}
RawProto rpTrainNetParam = rp.FindChild("train_net_param");
if (rpTrainNetParam != null)
{
p.train_net_param = NetParameter.FromProto(rpTrainNetParam);
}
RawProtoCollection rgpTn = rp.FindChildren("test_net_param");
foreach (RawProto rpTest in rgpTn)
{
p.test_net_param.Add(NetParameter.FromProto(rpTest));
}
RawProto rpTrainState = rp.FindChild("train_state");
if (rpTrainState != null)
{
p.train_state = NetState.FromProto(rpTrainState);
}
RawProtoCollection rgpNs = rp.FindChildren("test_state");
foreach (RawProto rpNs in rgpNs)
{
p.test_state.Add(NetState.FromProto(rpNs));
}
p.test_iter = rp.FindArray <int>("test_iter");
if ((strVal = rp.FindValue("test_interval")) != null)
{
p.test_interval = int.Parse(strVal);
}
if ((strVal = rp.FindValue("test_compute_loss")) != null)
{
p.test_compute_loss = bool.Parse(strVal);
}
if ((strVal = rp.FindValue("test_initialization")) != null)
{
p.test_initialization = bool.Parse(strVal);
}
if ((strVal = rp.FindValue("base_lr")) != null)
{
p.base_lr = double.Parse(strVal);
}
if ((strVal = rp.FindValue("display")) != null)
{
p.display = int.Parse(strVal);
}
if ((strVal = rp.FindValue("average_loss")) != null)
{
p.average_loss = int.Parse(strVal);
}
if ((strVal = rp.FindValue("max_iter")) != null)
{
p.max_iter = int.Parse(strVal);
}
if ((strVal = rp.FindValue("iter_size")) != null)
{
p.iter_size = int.Parse(strVal);
}
if ((strVal = rp.FindValue("lr_policy")) != null)
{
p.lr_policy = strVal;
}
if ((strVal = rp.FindValue("gamma")) != null)
{
p.gamma = double.Parse(strVal);
}
if ((strVal = rp.FindValue("power")) != null)
{
p.power = double.Parse(strVal);
}
if ((strVal = rp.FindValue("momentum")) != null)
{
p.momentum = double.Parse(strVal);
}
if ((strVal = rp.FindValue("weight_decay")) != null)
{
p.weight_decay = double.Parse(strVal);
}
if ((strVal = rp.FindValue("regularization_type")) != null)
{
p.regularization_type = strVal;
}
if ((strVal = rp.FindValue("stepsize")) != null)
{
p.stepsize = int.Parse(strVal);
}
p.stepvalue = rp.FindArray <int>("stepvalue");
if ((strVal = rp.FindValue("clip_gradients")) != null)
{
p.clip_gradients = double.Parse(strVal);
}
if ((strVal = rp.FindValue("snapshot")) != null)
{
p.snapshot = int.Parse(strVal);
}
if ((strVal = rp.FindValue("snapshot_prefix")) != null)
{
p.snapshot_prefix = strVal;
}
if ((strVal = rp.FindValue("snapshot_diff")) != null)
{
p.snapshot_diff = bool.Parse(strVal);
}
if ((strVal = rp.FindValue("snapshot_format")) != null)
{
switch (strVal)
{
case "BINARYPROTO":
p.snapshot_format = SnapshotFormat.BINARYPROTO;
break;
case "HDF5":
p.snapshot_format = SnapshotFormat.BINARYPROTO;
break;
default:
throw new Exception("Unknown 'snapshot_format' value: " + strVal);
}
}
if ((strVal = rp.FindValue("device_id")) != null)
{
p.device_id = int.Parse(strVal);
}
if ((strVal = rp.FindValue("random_seed")) != null)
{
p.random_seed = long.Parse(strVal);
}
if ((strVal = rp.FindValue("type")) != null)
{
string strVal1 = strVal.ToLower();
switch (strVal1)
{
case "sgd":
p.type = SolverType.SGD;
break;
case "nesterov":
p.type = SolverType.NESTEROV;
break;
case "adagrad":
p.type = SolverType.ADAGRAD;
break;
case "adadelta":
p.type = SolverType.ADADELTA;
break;
case "adam":
p.type = SolverType.ADAM;
break;
case "rmsprop":
p.type = SolverType.RMSPROP;
break;
case "lbgfs":
p.type = SolverType.LBFGS;
break;
default:
throw new Exception("Unknown solver 'type' value: " + strVal);
}
}
if ((strVal = rp.FindValue("delta")) != null)
{
p.delta = double.Parse(strVal);
}
if ((strVal = rp.FindValue("momentum2")) != null)
{
p.momentum2 = double.Parse(strVal);
}
if ((strVal = rp.FindValue("rms_decay")) != null)
{
p.rms_decay = double.Parse(strVal);
}
if ((strVal = rp.FindValue("debug_info")) != null)
{
p.debug_info = bool.Parse(strVal);
}
if ((strVal = rp.FindValue("lbgfs_corrections")) != null)
{
p.lbgfs_corrections = int.Parse(strVal);
}
if ((strVal = rp.FindValue("snapshot_after_train")) != null)
{
p.snapshot_after_train = bool.Parse(strVal);
}
if ((strVal = rp.FindValue("custom_trainer")) != null)
{
p.custom_trainer = strVal;
}
if ((strVal = rp.FindValue("custom_trainer_properties")) != null)
{
p.custom_trainer_properties = strVal;
}
if ((strVal = rp.FindValue("output_average_results")) != null)
{
p.output_average_results = bool.Parse(strVal);
}
if ((strVal = rp.FindValue("snapshot_include_weights")) != null)
{
p.snapshot_include_weights = bool.Parse(strVal);
}
if ((strVal = rp.FindValue("snapshot_include_state")) != null)
{
p.snapshot_include_state = bool.Parse(strVal);
}
return(p);
}