public FeedForwardLayer(ExecutionContext executionContext, FeedForwardLayerOptions options, ushort[] previousLayerDimensionality)
{
_options = options;
Dimensionality = options.Dimensionality;
_weightLength = MatrixHelpers.GetWeightCardinality(previousLayerDimensionality, options.Dimensionality);
NodeCount = MatrixHelpers.GetCardinality(options.Dimensionality);
_previousLayerNodeCount = MatrixHelpers.GetCardinality(previousLayerDimensionality);
_activation = (options.ActivationOptions ?? new ReluActivationOptions())
.Create();
_update = (options.UpdateOptions ?? new FeedForwardUpdateOptions())
.Create(executionContext);
CompileKernels(executionContext);
AllocateBuffers(executionContext, options);
SetForwardPassArgs();
SetBackwardPassArgs();
}
private void AllocateBuffers(ExecutionContext executionContext, FeedForwardLayerOptions options)
{
try {
_layerSums = new GpuMatrix((ushort)NodeCount, 1, executionContext);
} catch (Exception ex)
{
throw new NerotiqException($"Error allocating sum buffer", ex);
}
try {
_layerOutputs = new GpuMatrix((ushort)NodeCount, 1, executionContext);
} catch (Exception ex)
{
throw new NerotiqException($"Error allocating output buffer", ex);
}
try {
_layerDeltas = new GpuMatrix((ushort)NodeCount, 1, executionContext);
} catch (Exception ex)
{
throw new NerotiqException($"Error allocating delta buffer", ex);
}
// Parameters
try {
_weights = new GpuMatrix((ushort)NodeCount, (ushort)_previousLayerNodeCount, executionContext);
} catch (Exception ex)
{
throw new NerotiqException($"Error allocating weight buffer", ex);
}
try {
_biases = new GpuMatrix((ushort)NodeCount, 1, executionContext);
} catch (Exception ex)
{
throw new NerotiqException($"Error allocating bias buffer", ex);
}
}
