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
};
}
}
}
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
});
}
}
}
/// <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
});
}
}
}
/// <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
};
}
}
}
