SlimMPSCnnFullyConnected (IMTLDevice device, MPSCnnConvolutionDescriptor convolutionDescriptor, IntPtr kernelWeights, IntPtr biasTerms, MPSCnnConvolutionFlags flags)
: base (NSObjectFlag.Empty)
{
var sel = "initWithDevice:convolutionDescriptor:kernelWeights:biasTerms:flags:";
var selector = Selector.GetHandle (sel);
InitializeHandle (IntPtr_objc_msgSend_IntPtr_IntPtr_IntPtr_IntPtr_UInt64 (Handle, selector, device.Handle, convolutionDescriptor.Handle, kernelWeights, biasTerms, (ulong)flags), sel);
}
public static SlimMPSCnnFullyConnected Create(uint kernelWidth, uint kernelHeight,
uint inputFeatureChannels, uint outputFeatureChannels,
MPSCnnNeuron neuronFilter, IMTLDevice device,
string kernelParamsBinaryName,
uint destinationFeatureChannelOffset = 0)
{
// get the url to this layer's weights and bias
var wtPath = NSBundle.MainBundle.PathForResource($"weights_{kernelParamsBinaryName}", "dat");
var bsPath = NSBundle.MainBundle.PathForResource($"bias_{kernelParamsBinaryName}", "dat");
unsafe
{
using (var mmfW = MemoryMappedFile.CreateFromFile(wtPath, FileMode.Open, null, 0, MemoryMappedFileAccess.Read))
using (var mmfB = MemoryMappedFile.CreateFromFile(bsPath, FileMode.Open, null, 0, MemoryMappedFileAccess.Read))
using (var wView = mmfW.CreateViewAccessor(0, 0, MemoryMappedFileAccess.Read))
using (var bView = mmfB.CreateViewAccessor(0, 0, MemoryMappedFileAccess.Read)) {
byte *w = null;
wView.SafeMemoryMappedViewHandle.AcquirePointer(ref w);
byte *b = null;
bView.SafeMemoryMappedViewHandle.AcquirePointer(ref b);
var convDesc = MPSCnnConvolutionDescriptor.GetConvolutionDescriptor(
kernelWidth, kernelHeight,
inputFeatureChannels, outputFeatureChannels,
neuronFilter);
return(new SlimMPSCnnFullyConnected(device, convDesc, (IntPtr)w, (IntPtr)b, MPSCnnConvolutionFlags.None)
{
DestinationFeatureChannelOffset = destinationFeatureChannelOffset
});
}
}
}
unsafe SlimMPSCnnConvolution(IMTLDevice device, MPSCnnConvolutionDescriptor convolutionDescriptor, IntPtr kernelWeights, IntPtr biasTerms, MPSCnnConvolutionFlags flags)
: base(NSObjectFlag.Empty)
{
const string sel = "initWithDevice:convolutionDescriptor:kernelWeights:biasTerms:flags:";
InitializeHandle(IntPtr_objc_msgSend_IntPtr_IntPtr_IntPtr_IntPtr_UInt64(Handle, Selector.GetHandle(sel), device.Handle, convolutionDescriptor.Handle, kernelWeights, biasTerms, (ulong)flags), sel);
}
/// <summary>
/// Initializes a fully connected kernel.
/// Returns: A valid SlimMPSCnnConvolution object or null, if failure.
/// </summary>
/// <param name="kernelWidth">Kernel Width</param>
/// <param name="kernelHeight">Kernel Height</param>
/// <param name="inputFeatureChannels">Number feature channels in input of this layer</param>
/// <param name="outputFeatureChannels">Number feature channels from output of this layer</param>
/// <param name="neuronFilter">A neuronFilter to add at the end as activation (could be null)</param>
/// <param name="device">The IMTLDevice on which this SlimMPSCnnConvolution filter will be used</param>
/// <param name="kernelParamsBinaryName">name of the layer to fetch kernelParameters by adding a prefix "weights_" or "bias_"</param>
/// <param name="padding">Bool value whether to use padding or not</param>
/// <param name="strideX">Stride of the filter</param>
/// <param name="strideY">Stride of the filter</param>
/// <param name="destinationFeatureChannelOffset">FeatureChannel no. in the destination MPSImage to start writing from, helps with concat operations</param>
/// <param name="groupNum">if grouping is used, default value is 1 meaning no groups</param>
public static SlimMPSCnnConvolution Create(uint kernelWidth, uint kernelHeight,
uint inputFeatureChannels, uint outputFeatureChannels,
MPSCnnNeuron neuronFilter, IMTLDevice device,
string kernelParamsBinaryName, bool padding,
uint strideX, uint strideY,
uint destinationFeatureChannelOffset, uint groupNum)
{
// get the url to this layer's weights and bias
var wtPath = NSBundle.MainBundle.PathForResource($"weights_{kernelParamsBinaryName}", "dat");
var bsPath = NSBundle.MainBundle.PathForResource($"bias_{kernelParamsBinaryName}", "dat");
// create appropriate convolution descriptor with appropriate stride
var convDesc = MPSCnnConvolutionDescriptor.GetConvolutionDescriptor(
kernelWidth, kernelHeight,
inputFeatureChannels, outputFeatureChannels,
neuronFilter);
convDesc.StrideInPixelsX = strideX;
convDesc.StrideInPixelsY = strideY;
if (groupNum <= 0)
{
throw new ArgumentException("Group size can't be less than 1");
}
convDesc.Groups = groupNum;
unsafe
{
using (var mmfW = MemoryMappedFile.CreateFromFile(wtPath, FileMode.Open, null, 0, MemoryMappedFileAccess.Read))
using (var mmfB = MemoryMappedFile.CreateFromFile(bsPath, FileMode.Open, null, 0, MemoryMappedFileAccess.Read))
using (var wView = mmfW.CreateViewAccessor(0, 0, MemoryMappedFileAccess.Read))
using (var bView = mmfB.CreateViewAccessor(0, 0, MemoryMappedFileAccess.Read)) {
byte *w = null;
wView.SafeMemoryMappedViewHandle.AcquirePointer(ref w);
byte *b = null;
bView.SafeMemoryMappedViewHandle.AcquirePointer(ref b);
return(new SlimMPSCnnConvolution(device, convDesc, (IntPtr)w, (IntPtr)b, MPSCnnConvolutionFlags.None)
{
DestinationFeatureChannelOffset = destinationFeatureChannelOffset,
padding = padding
});
}
}
}
public ConvolutionWeights(CompileOptions options, int inChannels, int outChannels, int kernelSize, int stride, bool bias, string label, int seed)
{
this.options = options.ExecutionOptions;
descriptor = MPSCnnConvolutionDescriptor.CreateCnnConvolutionDescriptor(
(System.nuint)kernelSize, (System.nuint)kernelSize,
(System.nuint)inChannels,
(System.nuint)outChannels);
descriptor.StrideInPixelsX = (nuint)stride;
descriptor.StrideInPixelsY = (nuint)stride;
this.bias = bias;
this.label = string.IsNullOrEmpty(label) ? Guid.NewGuid().ToString() : label;
var lenWeights = inChannels * kernelSize * kernelSize * outChannels;
var vDescWeights = VectorDescriptor(lenWeights);
weightVectors = new OptimizableVector(options.Device, vDescWeights, 0.0f);
var vDescBiases = VectorDescriptor(outChannels);
biasVectors = new OptimizableVector(options.Device, vDescBiases, 0.1f);
RandomizeWeights((nuint)seed);
convWtsAndBias = new MPSCnnConvolutionWeightsAndBiasesState(weightVectors.Value.Data, biasVectors.Value.Data);
momentumVectors = NSArray <MPSVector> .FromNSObjects(weightVectors.Momentum, biasVectors.Momentum);
velocityVectors = NSArray <MPSVector> .FromNSObjects(weightVectors.Velocity, biasVectors.Velocity);
var odesc = new MPSNNOptimizerDescriptor(options.LearningRate, 1.0f, MPSNNRegularizationType.None, 1.0f);
updater = new MPSNNOptimizerAdam(
options.Device,
beta1: 0.9f, beta2: 0.999f, epsilon: 1e-8f,
timeStep: 0,
optimizerDescriptor: odesc);
}
