/// <summary>
/// Evaluates the specified feed dictionary.
/// </summary>
/// <param name="feedDict">The feed dictionary.</param>
/// <remarks>
/// # 'x' is [[1, 1, 1]
/// # [1, 1, 1]]
/// tf.reduce_sum(x) ==> 6
/// tf.reduce_sum(x, 0) ==> [2, 2, 2]
/// tf.reduce_sum(x, 1) ==> [3, 3]
/// tf.reduce_sum(x, 1, keep_dims=True) ==> [[3], [3]]
/// tf.reduce_sum(x, [0, 1]) ==> 6</remarks>
/// <returns></returns>
/// <exception cref="System.NotImplementedException">
/// </exception>
public override Matrix <float> Evaluate(Dictionary <string, Matrix <float> > feedDict)
{
Matrix <float> input = InputTensor.Evaluate(feedDict);
Matrix <float> sum = Matrix <float> .Build.Dense(1, 1, 0);
if (Axis == ReduceSumAxis.None)
{
for (int i = 0; i < input.RowCount; i++)
{
for (int j = 0; j < input.ColumnCount; j++)
{
sum += input[i, j];
}
}
}
else if (Axis == ReduceSumAxis.X)
{
if (!KeepDimensions)
{
int endCount = input.RowCount;
sum = Matrix <float> .Build.Dense(1, endCount, 0);
for (int i = 0; i < endCount; i++)
{
float rowSum = 0f;
for (int j = 0; j < input.ColumnCount; j++)
{
rowSum += input[i, j];
}
sum[0, i] = rowSum;
}
}
else
{
throw new NotImplementedException();
}
}
else if (Axis == ReduceSumAxis.Y)
{
if (!KeepDimensions)
{
int endCount = input.ColumnCount;
sum = Matrix <float> .Build.Dense(1, endCount, 0);
for (int j = 0; j < endCount; j++)
{
float colSum = 0f;
for (int i = 0; i < input.RowCount; i++)
{
colSum += input[i, j];
}
sum[0, j] = colSum;
}
}
else
{
throw new NotImplementedException();
}
}
else
{
throw new NotImplementedException();
}
return(sum);
}