public IMiniBatch Get(IExecutionContext executionContext, IReadOnlyList <int> rows)
{
var data = rows.Select(i => _data[i]).ToList();
var inputData = new Dictionary <int, List <FloatVector> >();
foreach (var item in data)
{
var input = item;
for (int i = 0, len = input.RowCount; i < len; i++)
{
if (!inputData.TryGetValue(i, out List <FloatVector> temp))
{
inputData.Add(i, temp = new List <FloatVector>());
}
temp.Add(input.Row[i]);
}
}
var miniBatch = new MiniBatch(rows, this);
foreach (var item in inputData.OrderBy(kv => kv.Key))
{
var input = _lap.CreateMatrixFromRows(item.Value);
var type = (item.Key == 0) ? MiniBatchSequenceType.SequenceStart :
item.Key == (inputData.Count - 1) ? MiniBatchSequenceType.SequenceEnd :
MiniBatchSequenceType.Standard;
var inputList = new List <IGraphData> {
new MatrixGraphData(input)
};
miniBatch.Add(type, inputList, null);
}
return(miniBatch);
}
public void TestMatrixCreationFromRows()
{
var values = new[] {
Enumerable.Range(0, 10).Select(v => (float)v).ToArray(),
Enumerable.Range(0, 10).Select(v => (float)v * 2).ToArray(),
Enumerable.Range(0, 10).Select(v => (float)v * 3).ToArray(),
};
var cpuRowList = values.Select(v => _cpu.CreateVector(v)).ToList();
var cpuMatrix = _cpu.CreateMatrixFromRows(cpuRowList);
var gpuRowList = values.Select(v => _cuda.CreateVector(v)).ToList();
using (var gpuMatrix = _cuda.CreateMatrixFromRows(gpuRowList)) {
FloatingPointHelper.AssertEqual(cpuMatrix.AsIndexable(), gpuMatrix.AsIndexable());
}
gpuRowList.ForEach(v => v.Dispose());
}
