NVIDIA NvNeural SDK  2022.2
GPU inference framework for NVIDIA Nsight Deep Learning Designer
IConvolutionLayer.h
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23 
25 
26 #ifndef NVNEURAL_ICONVOLUTIONLAYER_H
27 #define NVNEURAL_ICONVOLUTIONLAYER_H
28 
29 #include <nvneural/CoreTypes.h>
30 
31 namespace nvneural {
32 
38  {
39  public:
41  static const IRefObject::TypeId typeID = 0x835aee64db0d45baul;
42 
44  virtual bool zeroPadding() const noexcept = 0;
45 
49  virtual NeuralResult setStride(std::size_t strideW, std::size_t strideH) noexcept = 0;
50 
53  virtual NeuralResult setFeatureCount(std::size_t numFeatures) noexcept = 0;
54 
58  virtual NeuralResult setKernelSize(std::size_t kernelSizeW, std::size_t kernelSizeH) noexcept = 0;
59 
62  virtual NeuralResult setZeroPadding(bool enablePadding) noexcept = 0;
63 
66  virtual NeuralResult applyBias(bool enableBias) noexcept = 0;
67  };
68 
71  {
72  Same,
73  Valid,
74  Tuple
75  };
76 
84  {
85  public:
87  static const IRefObject::TypeId typeID = 0xe0107167331c03e4ul;
88 
90  virtual ConvolutionPaddingMode getPaddingMode() const noexcept = 0;
91 
93  virtual TensorDimension getPaddingDimension() const noexcept = 0;
94 
98  virtual NeuralResult setPaddingDimension(const TensorDimension& paddingDimension) noexcept = 0;
99 
103  virtual NeuralResult setPaddingMode(ConvolutionPaddingMode mode) noexcept = 0;
104  };
105 } // namespace nvneural
106 #endif // NVNEURAL_ICONVOLUTIONLAYER_H
Fundamental NvNeural data types are declared here.
NeuralResult
NeuralResult is a generic success/failure result type similar to COM HRESULT.
Definition: CoreTypes.h:275
ConvolutionPaddingMode
Enum to describe convolution padding modes.
Definition: IConvolutionLayer.h:71
IConvolutionLayer2 is an optional interface that marks a layer as a convolution layer.
Definition: IConvolutionLayer.h:84
virtual ConvolutionPaddingMode getPaddingMode() const noexcept=0
Returns the currently set padding mode of the convolution operation.
IConvolutionLayer is an optional interface that marks a layer as a convolution layer.
Definition: IConvolutionLayer.h:38
virtual NeuralResult setKernelSize(std::size_t kernelSizeW, std::size_t kernelSizeH) noexcept=0
Sets the kernel size of the convolution operation.
virtual bool zeroPadding() const noexcept=0
Returns true if zero padding is enabled.
virtual NeuralResult setStride(std::size_t strideW, std::size_t strideH) noexcept=0
Sets the stride of the convolution operation.
virtual NeuralResult setFeatureCount(std::size_t numFeatures) noexcept=0
Sets the feature count of the convolution operation.
static const IRefObject::TypeId typeID
Interface TypeId for InterfaceOf purposes.
Definition: IConvolutionLayer.h:41
virtual NeuralResult applyBias(bool enableBias) noexcept=0
Turns bias on or off.
virtual NeuralResult setZeroPadding(bool enablePadding) noexcept=0
Turns zero padding on or off.
Base class for all objects, similar to COM's IUnknown.
Definition: CoreTypes.h:343
std::uint64_t TypeId
Every interface must define a unique TypeId. This should be randomized.
Definition: CoreTypes.h:349
TensorDimension describes the dimensions of a four-dimensional image tensor.
Definition: CoreTypes.h:136