public static VariableTensor Assign(VariableTensor tensor, Matrix <float> value)
{
VariableTensor t = (VariableTensor)Tensors[tensor.Identifier];
t.Value = value;
return(t);
}
public static VariableTensor Variable(Matrix <float> initialValue)
{
VariableTensor newTensor = new VariableTensor(initialValue, typeof(float));
int count = Tensors.Count(t => t.Value is VariableTensor);
return((VariableTensor)AddTensor(newTensor, count));
}
public static VariableTensor Variable <T>(T initialValue)
{
float convertedValue = (float)Convert.ChangeType(initialValue, typeof(float));
VariableTensor newTensor = new VariableTensor(Matrix <float> .Build.Dense(1, 1, convertedValue), typeof(T));
int count = Tensors.Count(t => t.Value is VariableTensor);
VariableTensor addedTensor = (VariableTensor)AddTensor(newTensor, count);
VariableCollections[GraphKeys.GLOBAL_VARIABLES].Add(addedTensor.Identifier, addedTensor);
VariableCollections[GraphKeys.TRAINABLE_VARIABLES].Add(addedTensor.Identifier, addedTensor);
return(addedTensor);
}
public static VariableTensor Assign(VariableTensor tensor, float value)
{
Matrix <float> matrixValue = Matrix <float> .Build.Dense(1, 1, value);
return(TensorFlow.Assign(tensor, matrixValue));
}