Class ConvolutionDescriptor

An opaque structure holding the description of a convolution operation.

Inheritance

System.Object

ConvolutionDescriptor

Implements

System.IDisposable

Inherited Members

System.Object.Equals(System.Object)

System.Object.Equals(System.Object, System.Object)

System.Object.GetHashCode()

System.Object.GetType()

System.Object.MemberwiseClone()

System.Object.ReferenceEquals(System.Object, System.Object)

System.Object.ToString()

Namespace: ManagedCuda.CudaDNN

Assembly: CudaDNN.dll

Syntax

public class ConvolutionDescriptor : IDisposable

Constructors

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ConvolutionDescriptor()

Declaration

public ConvolutionDescriptor()

Properties

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Desc

Returns the inner handle.

Declaration

public cudnnConvolutionDescriptor Desc { get; }

Property Value

Type	Description
cudnnConvolutionDescriptor

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GroupCount

This function allows the user to specify the number of groups to be used in the associated convolution.

Declaration

public int GroupCount { get; set; }

Property Value

Type	Description
System.Int32

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MathType

The math type specified in a given convolution descriptor.

Declaration

public cudnnMathType MathType { get; set; }

Property Value

Type	Description
cudnnMathType

Methods

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Dispose()

Dispose

Declaration

public void Dispose()

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Dispose(Boolean)

For IDisposable

Declaration

protected virtual void Dispose(bool fDisposing)

Parameters

Type	Name	Description
System.Boolean	fDisposing

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Finalize()

For dispose

Declaration

protected void Finalize()

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GetConvolution2dDescriptor(ref Int32, ref Int32, ref Int32, ref Int32, ref Int32, ref Int32, ref cudnnConvolutionMode, ref cudnnDataType)

This function queries a previously initialized 2D convolution descriptor object.

Declaration

public void GetConvolution2dDescriptor(ref int pad_h, ref int pad_w, ref int u, ref int v, ref int dilation_h, ref int dilation_w, ref cudnnConvolutionMode mode, ref cudnnDataType dataType)

Parameters

Type	Name	Description
System.Int32	pad_h	zero-padding height: number of rows of zeros implicitly concatenated onto the top and onto the bottom of input images.
System.Int32	pad_w	zero-padding width: number of columns of zeros implicitly concatenated onto the left and onto the right of input images.
System.Int32	u	Vertical filter stride.
System.Int32	v	Horizontal filter stride.
System.Int32	dilation_h	Filter height dilation.
System.Int32	dilation_w	Filter width dilation.
cudnnConvolutionMode	mode	convolution mode.
cudnnDataType	dataType	Selects the datatype in which the computation will be done.

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GetConvolution2dForwardOutputDim(TensorDescriptor, FilterDescriptor, ref Int32, ref Int32, ref Int32, ref Int32)

This function returns the dimensions of the resulting 4D tensor of a 2D convolution, given the convolution descriptor, the input tensor descriptor and the filter descriptor This function can help to setup the output tensor and allocate the proper amount of memory prior to launch the actual convolution.

Each dimension h and w of the output images is computed as followed:

outputDim = 1 + (inputDim + 2*pad - filterDim)/convolutionStride;

Declaration

public void GetConvolution2dForwardOutputDim(TensorDescriptor inputTensorDesc, FilterDescriptor filterDesc, ref int n, ref int c, ref int h, ref int w)

Parameters

Type	Name	Description
TensorDescriptor	inputTensorDesc	Handle to a previously initialized tensor descriptor.
FilterDescriptor	filterDesc	Handle to a previously initialized filter descriptor.
System.Int32	n	Number of output images.
System.Int32	c	Number of output feature maps per image.
System.Int32	h	Height of each output feature map.
System.Int32	w	Width of each output feature map.

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GetConvolutionNdDescriptor(Int32, ref Int32, Int32[], Int32[], Int32[], ref cudnnConvolutionMode, ref cudnnDataType)

This function queries a previously initialized convolution descriptor object.

Declaration

public void GetConvolutionNdDescriptor(int arrayLengthRequested, ref int arrayLength, int[] padA, int[] strideA, int[] dilationA, ref cudnnConvolutionMode mode, ref cudnnDataType computeType)

Parameters

Type	Name	Description
System.Int32	arrayLengthRequested	Dimension of the expected convolution descriptor. It is also the minimum size of the arrays padA, filterStrideA and upsacleA in order to be able to hold the results
System.Int32	arrayLength	actual dimension of the convolution descriptor.
System.Int32[]	padA	Array of dimension of at least arrayLengthRequested that will be filled with the padding parameters from the provided convolution descriptor.
System.Int32[]	strideA	Array of dimension of at least arrayLengthRequested that will be filled with the filter stride from the provided convolution descriptor.
System.Int32[]	dilationA	Array of dimension at least arrayLengthRequested that will be filled with the dilation parameters from the provided convolution descriptor.
cudnnConvolutionMode	mode	convolution mode of the provided descriptor.
cudnnDataType	computeType	datatype of the provided descriptor.

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GetConvolutionNdForwardOutputDim(TensorDescriptor, FilterDescriptor, Int32, Int32[])

This function returns the dimensions of the resulting n-D tensor of a nbDims-2-D convolution, given the convolution descriptor, the input tensor descriptor and the filter descriptor This function can help to setup the output tensor and allocate the proper amount of memory prior to launch the actual convolution.

Each dimension of the (nbDims-2)-D images of the output tensor is computed as followed:

outputDim = 1 + (inputDim + 2*pad - filterDim)/convolutionStride;

Declaration

public void GetConvolutionNdForwardOutputDim(TensorDescriptor inputTensorDesc, FilterDescriptor filterDesc, int nbDims, int[] tensorOuputDimA)

Parameters

Type	Name	Description
TensorDescriptor	inputTensorDesc	Handle to a previously initialized tensor descriptor.
FilterDescriptor	filterDesc	Handle to a previously initialized filter descriptor.
System.Int32	nbDims	Dimension of the output tensor
System.Int32[]	tensorOuputDimA	Array of dimensions nbDims that contains on exit of this routine the sizes of the output tensor

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SetConvolution2dDescriptor(Int32, Int32, Int32, Int32, Int32, Int32, cudnnConvolutionMode, cudnnDataType)

This function initializes a previously created convolution descriptor object into a 2D correlation. This function assumes that the tensor and filter descriptors corresponds to the formard convolution path and checks if their settings are valid. That same convolution descriptor can be reused in the backward path provided it corresponds to the same layer.

Declaration

public void SetConvolution2dDescriptor(int pad_h, int pad_w, int u, int v, int dilation_h, int dilation_w, cudnnConvolutionMode mode, cudnnDataType dataType)

Parameters

Type	Name	Description
System.Int32	pad_h	zero-padding height: number of rows of zeros implicitly concatenated onto the top and onto the bottom of input images.
System.Int32	pad_w	zero-padding width: number of columns of zeros implicitly concatenated onto the left and onto the right of input images.
System.Int32	u	Vertical filter stride.
System.Int32	v	Horizontal filter stride.
System.Int32	dilation_h	Filter height dilation.
System.Int32	dilation_w	Filter width dilation.
cudnnConvolutionMode	mode	Selects between CUDNN_CONVOLUTION and CUDNN_CROSS_CORRELATION.
cudnnDataType	dataType	Selects the datatype in which the computation will be done.

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SetConvolutionNdDescriptor(Int32, Int32[], Int32[], Int32[], cudnnConvolutionMode, cudnnDataType)

This function initializes a previously created generic convolution descriptor object into a n-D correlation. That same convolution descriptor can be reused in the backward path provided it corresponds to the same layer. The convolution computation will done in the specified dataType, which can be potentially different from the input/output tensors.

Declaration

public void SetConvolutionNdDescriptor(int arrayLength, int[] padA, int[] filterStrideA, int[] dilationA, cudnnConvolutionMode mode, cudnnDataType computeType)

Parameters

Type	Name	Description
System.Int32	arrayLength	Dimension of the convolution.
System.Int32[]	padA	Array of dimension arrayLength containing the zero-padding size for each dimension. For every dimension, the padding represents the number of extra zeros implicitly concatenated at the start and at the end of every element of that dimension.
System.Int32[]	filterStrideA	Array of dimension arrayLength containing the filter stride for each dimension. For every dimension, the fitler stride represents the number of elements to slide to reach the next start of the filtering window of the next point.
System.Int32[]	dilationA	Array of dimension arrayLength containing the dilation factor for each dimension.
cudnnConvolutionMode	mode	Selects between CUDNN_CONVOLUTION and CUDNN_CROSS_CORRELATION.
cudnnDataType	computeType	Selects the datatype in which the computation will be done.

Implements

System.IDisposable