public IMiniBatch Get(IExecutionContext executionContext, IReadOnlyList <int> rows)
{
var ret = new MiniBatch(rows, this);
int index = 0;
foreach (var row in _data)
{
var type = MiniBatchSequenceType.Standard;
if (index == 0)
{
type = MiniBatchSequenceType.SequenceStart;
}
else if (index == _data.Count - 1)
{
type = MiniBatchSequenceType.SequenceEnd;
}
var inputList = new[]
{
new MatrixGraphData(executionContext.LinearAlgebraProvider.CreateVector(row).
ReshapeAsRowMatrix())
};
ret.Add(type, inputList, null);
}
return(ret);
}
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 override IMiniBatch Get(IExecutionContext executionContext, IReadOnlyList <int> rows)
{
var data = _GetRows(rows)
.Select(r => ((FloatVector)r.Data[_dataColumnIndex[0]], (FloatMatrix)r.Data[_dataTargetIndex]))
.ToList()
;
var outputData = new Dictionary <int, List <FloatVector> >();
foreach (var item in data)
{
var input = item.Item1;
var output = item.Item2;
for (int i = 0, len = output.RowCount; i < len; i++)
{
if (!outputData.TryGetValue(i, out List <FloatVector> temp))
{
outputData.Add(i, temp = new List <FloatVector>());
}
temp.Add(output.Row[i]);
}
}
var miniBatch = new MiniBatch(rows, this);
var curr = _lap.CreateMatrix(data.Count, InputSize, (x, y) => data[x].Item1.Data[y]);
foreach (var item in outputData.OrderBy(kv => kv.Key))
{
var output = _lap.CreateMatrix(item.Value);
var type = (item.Key == 0)
? MiniBatchSequenceType.SequenceStart
: item.Key == (outputData.Count - 1)
? MiniBatchSequenceType.SequenceEnd
: MiniBatchSequenceType.Standard
;
var inputList = new List <IGraphData> {
new MatrixGraphData(curr)
};
miniBatch.Add(type, inputList, new MatrixGraphData(output));
curr = output;
}
return(miniBatch);
}