protected override void DoExecuteVectorFlow(VectorComputationContext context, VectorBuffer<float> vectorBuffer, Core.Vectors.VectorFlow<float> vectorFlow)
{
var ctx = (NeuralComputationContext)context;
if (Network.IsRecurrent) Network.Reset(ctx, NeuralNetworkResetTarget.Outputs);
base.DoExecuteVectorFlow(context, vectorBuffer, vectorFlow);
}
public void AddBuffer(string name, VectorBuffer buffer)
{
vectorBuffers.Add(name, buffer);
}
// Batch Iteration:
protected override void ExecuteBatchIteration(VectorComputationContext context, VectorBuffer<float> vectorBuffer, VectorFlowBatch<float> batch)
{
var ctx = (NeuralComputationContext)context;
// Begin of batch:
ctx.Training_BeginOfBatch = true;
if (Mode == TrainingMode.Unordered)
{
// Reset backward values, and clear error information:
ResetGradientComputingValues(ctx);
ctx.Training_NumberOfIterationsInBatch = 0;
}
base.ExecuteBatchIteration(context, vectorBuffer, batch);
// Batch done, iterate algos:
Network.CallErrorBasedBatchLearningAlgorithms(ctx, ctx.Training_NumberOfIterationsInBatch, AverageErrorBuffer);
}
// A Flow:
protected override void DoExecuteVectorFlow(VectorComputationContext context, VectorBuffer<float> vectorBuffer, VectorFlow<float> vectorFlow)
{
var ctx = (NeuralComputationContext)context;
if (Mode == TrainingMode.Unordered)
{
// Reset forward values:
ResetNetworkValues(ctx);
// Reset backward errors and gradients:
// If beginOfBatch == true,
// backward errors and gradients already reseted by a ResetBackwardValues() call
if (!ctx.Training_BeginOfBatch)
{
ResetPartialGradientComputingValues(ctx);
}
}
// Begin of recurrent flow:
ctx.Training_BPTTEllapsedForwardIterationCount = 0;
base.DoExecuteVectorFlow(context, vectorBuffer, vectorFlow);
ctx.Training_BeginOfBatch = false;
}
// Batch Iterations (all repeated):
protected override void DoExecuteBatch(VectorComputationContext context, VectorBuffer<float> vectorBuffer, VectorFlowBatch<float> batch)
{
// This is where batch iterations begins
var ctx = (NeuralComputationContext)context;
EnsureInitialized(ctx);
var neuralBatch = batch as NeuralVectorFlowBatch;
if (neuralBatch != null && Mode == TrainingMode.Streamed && neuralBatch.ResetSchedule == ResetSchedule.BeforeExecution)
{
// Streamed reset scheduled:
ResetAll(ctx);
}
base.DoExecuteBatch(context, vectorBuffer, batch);
if (neuralBatch != null && Mode == TrainingMode.Streamed && neuralBatch.ResetSchedule == ResetSchedule.AfterExecution)
{
// Streamed reset scheduled:
ResetAll(ctx);
}
}
