protected override void createModel()
{
bool use_saved_model = true;
if (use_saved_model)
{
var model_path = "ch6-2.cntk.model";
model = CNTK.Function.Load(model_path, computeDevice);
var replacements = new CNTK.UnorderedMapVariableVariable()
{
{ model.Placeholders()[0], x }
};
model.ReplacePlaceholders(replacements);
}
else
{
uint numClasses = 10000;
int embedding_dim = 32;
int hidden_units = 32;
model = CNTK.CNTKLib.OneHotOp(x, numClass: numClasses, outputSparse: true, axis: new CNTK.Axis(0));
model = Util.Embedding(model, embedding_dim, computeDevice);
model = CNTK.CSTrainingExamples.LSTMSequenceClassifier.LSTM(model, hidden_units, hidden_units, computeDevice, "lstm");
model = Util.Dense(model, 1, computeDevice);
model = CNTK.CNTKLib.Sigmoid(model);
}
}
protected override void createModel()
{
var model_path = "ch8-1_cntk.model";
model = CNTK.Function.Load(model_path, computeDevice);
var replacements = new CNTK.UnorderedMapVariableVariable()
{
{ model.Placeholders()[0], x }
};
model.ReplacePlaceholders(replacements);
softmaxOutput = CNTK.CNTKLib.Softmax(model.Output);
}