public MnistFullLayerNeuralNetwork(IMTLCommandQueue commandQueueIn)
{
// CommandQueue to be kept around
commandQueue = commandQueueIn;
device = commandQueueIn.Device;
// Initialize MPSImage from descriptors
SrcImage = new MPSImage(device, SID);
dstImage = new MPSImage(device, DID);
// setup convolution layer (which is a fully-connected layer)
// cliprect, offset is automatically set
layer = SlimMPSCnnFullyConnected.Create(kernelWidth: 28, kernelHeight: 28,
inputFeatureChannels: 1, outputFeatureChannels: 10,
neuronFilter: null, device: device,
kernelParamsBinaryName: "NN");
// prepare softmax layer to be applied at the end to get a clear label
softmax = new MPSCnnSoftMax(device);
}
public MnistFullLayerNeuralNetwork (IMTLCommandQueue commandQueueIn)
{
// CommandQueue to be kept around
commandQueue = commandQueueIn;
device = commandQueueIn.Device;
// Initialize MPSImage from descriptors
SrcImage = new MPSImage (device, SID);
dstImage = new MPSImage (device, DID);
// setup convolution layer (which is a fully-connected layer)
// cliprect, offset is automatically set
layer = SlimMPSCnnFullyConnected.Create (kernelWidth: 28, kernelHeight: 28,
inputFeatureChannels: 1, outputFeatureChannels: 10,
neuronFilter: null, device: device,
kernelParamsBinaryName: "NN");
// prepare softmax layer to be applied at the end to get a clear label
softmax = new MPSCnnSoftMax (device);
}