MyCaffe  1.12.2.41
Deep learning software for Windows C# programmers.
SerfLayer.cs
1using System;
2using System.Collections.Generic;
3using System.Linq;
4using System.Text;
5using MyCaffe.basecode;
6using MyCaffe.common;
7using MyCaffe.param;
8
10{
21 public class SerfLayer<T> : NeuronLayer<T>
22 {
31 : base(cuda, log, p)
32 {
34 }
35
49 protected override void forward(BlobCollection<T> colBottom, BlobCollection<T> colTop)
50 {
51 long hBottomData = colBottom[0].gpu_data;
52 long hTopData = colTop[0].mutable_gpu_data;
53 int nCount = colBottom[0].count();
54
55 m_cuda.serf_fwd(nCount, hBottomData, hTopData, m_param.serf_param.threshold);
56 }
57
76 protected override void backward(BlobCollection<T> colTop, List<bool> rgbPropagateDown, BlobCollection<T> colBottom)
77 {
78 long hTopData = colTop[0].gpu_data;
79 long hTopDiff = colTop[0].gpu_diff;
80 long hBottomDiff = colBottom[0].mutable_gpu_diff;
81 long hBottomData = colBottom[0].gpu_data;
82 int nCount = colBottom[0].count();
83
84 m_cuda.serf_bwd(nCount, hTopDiff, hTopData, hBottomDiff, hBottomData, m_param.serf_param.threshold);
85 }
86 }
87}
The Log class provides general output in text form.
Definition: Log.cs:13
The BlobCollection contains a list of Blobs.
The CudaDnn object is the main interface to the Low-Level Cuda C++ DLL.
Definition: CudaDnn.cs:969
LayerParameter m_param
Specifies the LayerParameter describing the Layer.
Definition: Layer.cs:47
CudaDnn< T > m_cuda
Specifies the CudaDnn connection to Cuda.
Definition: Layer.cs:39
LayerParameter.LayerType m_type
Specifies the Layer type.
Definition: Layer.cs:35
The NeuronLayer is an interface for layers that take one blob as input (x) and produce only equally-s...
Definition: NeuronLayer.cs:22
The SerfLayer provides a novel activation function that tends to work better than ReLU.
Definition: SerfLayer.cs:22
override void forward(BlobCollection< T > colBottom, BlobCollection< T > colTop)
Forward computation
Definition: SerfLayer.cs:49
SerfLayer(CudaDnn< T > cuda, Log log, LayerParameter p)
The SerfLayer constructor.
Definition: SerfLayer.cs:30
override void backward(BlobCollection< T > colTop, List< bool > rgbPropagateDown, BlobCollection< T > colBottom)
Computes the error gradient w.r.t. the Mish value inputs.
Definition: SerfLayer.cs:76
Specifies the base parameter for all layers.
SerfParameter serf_param
Returns the parameter set when initialized with LayerType.SERF
LayerType
Specifies the layer type.
The MyCaffe.basecode contains all generic types used throughout MyCaffe.
Definition: Annotation.cs:12
The MyCaffe.common namespace contains common MyCaffe classes.
Definition: BatchInput.cs:8
The MyCaffe.layers.beta namespace contains all beta stage layers.
Definition: LayerFactory.cs:9
The MyCaffe.param namespace contains parameters used to create models.
The MyCaffe namespace contains the main body of MyCaffe code that closesly tracks the C++ Caffe open-...
Definition: Annotation.cs:12