private void ProcessNextVectors(NativeActivityContext context, NeuralVectorFlow[] result)
{
bool reinitialize = false;
IList<NeuralVectorFlow> finalResult = result;
if (UseCache)
{
var vars = ComputationContext.GetVariables(context, this);
var cache = vars.Get<SerializableCache>(CacheVarName).Cache;
// Cache results:
if (result != null)
{
foreach (var vectors in result)
{
string key = vectors.Index.ToString();
cache[key] = vectors;
}
}
// Combine cached vectors with result:
var vectorsFromCache = cachedVectorFlows.Get(context);
cachedVectorFlows.Set(context, null);
if (result != null)
{
if (vectorsFromCache.Count != 0)
{
finalResult = result.Concat(vectorsFromCache).ToList();
}
}
else
{
finalResult = vectorsFromCache.ToList();
}
}
if (ReinitializationFrequency != null && DoReinitializeVectorProvider != null)
{
var freq = ReinitializationFrequency.Get(context);
if (freq > 0)
{
var vars = ComputationContext.GetVariables(context, this);
int iterations = vars.Get<int>(IterationsVarName);
if ((++iterations % freq) == 0)
{
context.ScheduleAction(DoReinitializeVectorProvider, OnReinitializeVectorProviderCompleted);
reinitialize = true;
}
vars.Set(IterationsVarName, iterations);
}
}
var finalArray = finalResult as NeuralVectorFlow[];
if (finalArray == null) finalArray = finalResult.ToArray();
GetNextVectorsDone(context, finalArray, reinitialize ? ResetSchedule.AfterExecution : ResetSchedule.None);
}
