///<summary>
/// This function initializes then previously created activation descriptor object.
/// </summary>
/// <param name="mode">Enumerant to specify the activation mode.</param>
/// <param name="reluNanOpt">Nan propagation option for the relu.</param>
/// <param name="coef">floating point number to specify the clipping threashold when the activation
/// mode is set to CUDNN_ACTIVATION_CLIPPED_RELU or to specify the alpha
/// coefficient when the activation mode is set to CUDNN_ACTIVATION_ELU.</param>
public void SetActivationDescriptor(cudnnActivationMode mode,
cudnnNanPropagation reluNanOpt,
double coef)
{
res = CudaDNNNativeMethods.cudnnSetActivationDescriptor(_desc, mode, reluNanOpt, coef);
Debug.Write("");//Line(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnSetActivationDescriptor", res));
if (res != cudnnStatus.Success)
{
throw new CudaDNNException(res);
}
}
/// <summary>
/// This function queries the parameters of the previouly initialized activation descriptor object.
/// </summary>
/// <param name="mode">Enumerant to specify the activation mode.</param>
/// <param name="reluNanOpt">Nan propagation option for the relu.</param>
/// <param name="reluCeiling">The ceiling for the clipped relu.</param>
public void GetActivationDescriptor(ref cudnnActivationMode mode,
ref cudnnNanPropagation reluNanOpt,
ref double reluCeiling)
{
res = CudaDNNNativeMethods.cudnnGetActivationDescriptor(_desc, ref mode, ref reluNanOpt, ref reluCeiling);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnGetActivationDescriptor", res));
if (res != cudnnStatus.Success)
{
throw new CudaDNNException(res);
}
}
/// <summary>
///
/// </summary>
/// <param name="opTensorOp"></param>
/// <param name="opTensorCompType"></param>
/// <param name="opTensorNanOpt"></param>
public void GetOpTensorDescriptor(
ref cudnnOpTensorOp opTensorOp,
ref cudnnDataType opTensorCompType,
ref cudnnNanPropagation opTensorNanOpt)
{
res = CudaDNNNativeMethods.cudnnGetOpTensorDescriptor(_desc, ref opTensorOp, ref opTensorCompType, ref opTensorNanOpt);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnGetOpTensorDescriptor", res));
if (res != cudnnStatus.Success)
{
throw new CudaDNNException(res);
}
}
/// <summary>
/// This function initializes a previously created generic pooling descriptor object.
/// </summary>
/// <param name="mode">Enumerant to specify the pooling mode.</param>
/// <param name="maxpoolingNanOpt">Nan propagation option for max pooling.</param>
/// <param name="nbDims">Dimension of the pooling operation.</param>
/// <param name="windowDimA">Array of dimension nbDims containing the window size for each dimension.</param>
/// <param name="paddingA">Array of dimension nbDims containing the padding size for each dimension.</param>
/// <param name="strideA">Array of dimension nbDims containing the striding size for each dimension.</param>
public void SetPoolingNdDescriptor(cudnnPoolingMode mode,
cudnnNanPropagation maxpoolingNanOpt,
int nbDims,
int[] windowDimA,
int[] paddingA,
int[] strideA
)
{
res = CudaDNNNativeMethods.cudnnSetPoolingNdDescriptor(_desc, mode, maxpoolingNanOpt, nbDims, windowDimA, paddingA, strideA);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnSetPoolingNdDescriptor", res));
if (res != cudnnStatus.Success)
{
throw new CudaDNNException(res);
}
}
/// <summary>
///
/// </summary>
/// <param name="reduceTensorOp"></param>
/// <param name="reduceTensorCompType"></param>
/// <param name="reduceTensorNanOpt"></param>
/// <param name="reduceTensorIndices"></param>
/// <param name="reduceTensorIndicesType"></param>
public void GetReduceTensorDescriptor(
ref cudnnReduceTensorOp reduceTensorOp,
ref cudnnDataType reduceTensorCompType,
ref cudnnNanPropagation reduceTensorNanOpt,
ref cudnnReduceTensorIndices reduceTensorIndices,
ref cudnnIndicesType reduceTensorIndicesType)
{
res = CudaDNNNativeMethods.cudnnGetReduceTensorDescriptor(_desc, ref reduceTensorOp, ref reduceTensorCompType,
ref reduceTensorNanOpt, ref reduceTensorIndices, ref reduceTensorIndicesType);
Debug.Write("");//Line(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnGetReduceTensorDescriptor", res));
if (res != cudnnStatus.Success)
{
throw new CudaDNNException(res);
}
}
/// <summary>
/// This function queries a previously created 2D pooling descriptor object.
/// </summary>
/// <param name="mode">Enumerant to specify the pooling mode.</param>
/// <param name="maxpoolingNanOpt">Nan propagation option for max pooling.</param>
/// <param name="windowHeight">Height of the pooling window.</param>
/// <param name="windowWidth">Width of the pooling window.</param>
/// <param name="verticalPadding">Size of vertical padding.</param>
/// <param name="horizontalPadding">Size of horizontal padding.</param>
/// <param name="verticalStride">Pooling vertical stride.</param>
/// <param name="horizontalStride">Pooling horizontal stride.</param>
public void GetPooling2dDescriptor(ref cudnnPoolingMode mode,
ref cudnnNanPropagation maxpoolingNanOpt,
ref int windowHeight,
ref int windowWidth,
ref int verticalPadding,
ref int horizontalPadding,
ref int verticalStride,
ref int horizontalStride
)
{
res = CudaDNNNativeMethods.cudnnGetPooling2dDescriptor(_desc, ref mode, ref maxpoolingNanOpt, ref windowHeight, ref windowWidth, ref verticalPadding, ref horizontalPadding, ref verticalStride, ref horizontalStride);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnGetPooling2dDescriptor", res));
if (res != cudnnStatus.Success)
{
throw new CudaDNNException(res);
}
}
/// <summary>
///
/// </summary>
/// <param name="opTensorOp"></param>
/// <param name="opTensorCompType"></param>
/// <param name="opTensorNanOpt"></param>
public void GetOpTensorDescriptor(
ref cudnnOpTensorOp opTensorOp,
ref cudnnDataType opTensorCompType,
ref cudnnNanPropagation opTensorNanOpt)
{
res = CudaDNNNativeMethods.cudnnGetOpTensorDescriptor(_desc, ref opTensorOp, ref opTensorCompType, ref opTensorNanOpt);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnGetOpTensorDescriptor", res));
if (res != cudnnStatus.Success) throw new CudaDNNException(res);
}
public static extern cudnnStatus cudnnSetPoolingNdDescriptor( cudnnPoolingDescriptor poolingDesc,
cudnnPoolingMode mode,
cudnnNanPropagation maxpoolingNanOpt,
int nbDims,
int[] windowDimA,
int[] paddingA,
int[] strideA
);
public static extern cudnnStatus cudnnSetPooling2dDescriptor( cudnnPoolingDescriptor poolingDesc,
cudnnPoolingMode mode,
cudnnNanPropagation maxpoolingNanOpt,
int windowHeight,
int windowWidth,
int verticalPadding,
int horizontalPadding,
int verticalStride,
int horizontalStride
);
public static extern cudnnStatus cudnnSetOpTensorDescriptor(
cudnnOpTensorDescriptor opTensorDesc,
cudnnOpTensorOp opTensorOp,
cudnnDataType opTensorCompType,
cudnnNanPropagation opTensorNanOpt);
public static extern cudnnStatus cudnnSetActivationDescriptor(
cudnnActivationDescriptor activationDesc,
cudnnActivationMode mode,
cudnnNanPropagation reluNanOpt,
double reluCeiling);
/// <summary>
/// This function queries the parameters of the previouly initialized activation descriptor object.
/// </summary>
/// <param name="mode">Enumerant to specify the activation mode.</param>
/// <param name="reluNanOpt">Nan propagation option for the relu.</param>
/// <param name="reluCeiling">The ceiling for the clipped relu.</param>
public void GetActivationDescriptor( ref cudnnActivationMode mode,
ref cudnnNanPropagation reluNanOpt,
ref double reluCeiling)
{
res = CudaDNNNativeMethods.cudnnGetActivationDescriptor(_desc, ref mode, ref reluNanOpt, ref reluCeiling);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnGetActivationDescriptor", res));
if (res != cudnnStatus.Success) throw new CudaDNNException(res);
}
/// <summary>
/// This function initializes a previously created generic pooling descriptor object.
/// </summary>
/// <param name="mode">Enumerant to specify the pooling mode.</param>
/// <param name="maxpoolingNanOpt">Nan propagation option for max pooling.</param>
/// <param name="nbDims">Dimension of the pooling operation.</param>
/// <param name="windowDimA">Array of dimension nbDims containing the window size for each dimension.</param>
/// <param name="paddingA">Array of dimension nbDims containing the padding size for each dimension.</param>
/// <param name="strideA">Array of dimension nbDims containing the striding size for each dimension.</param>
public void SetPoolingNdDescriptor(cudnnPoolingMode mode,
cudnnNanPropagation maxpoolingNanOpt,
int nbDims,
int[] windowDimA,
int[] paddingA,
int[] strideA
)
{
res = CudaDNNNativeMethods.cudnnSetPoolingNdDescriptor(_desc, mode, maxpoolingNanOpt, nbDims, windowDimA, paddingA, strideA);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnSetPoolingNdDescriptor", res));
if (res != cudnnStatus.Success) throw new CudaDNNException(res);
}
/// <summary>
/// This function initializes a previously created generic pooling descriptor object into a 2D description.
/// </summary>
/// <param name="mode">Enumerant to specify the pooling mode.</param>
/// <param name="maxpoolingNanOpt">Nan propagation option for max pooling.</param>
/// <param name="windowHeight">Height of the pooling window.</param>
/// <param name="windowWidth">Width of the pooling window.</param>
/// <param name="verticalPadding">Size of vertical padding.</param>
/// <param name="horizontalPadding">Size of horizontal padding</param>
/// <param name="verticalStride">Pooling vertical stride.</param>
/// <param name="horizontalStride">Pooling horizontal stride.</param>
public void SetPooling2dDescriptor(cudnnPoolingMode mode,
cudnnNanPropagation maxpoolingNanOpt,
int windowHeight,
int windowWidth,
int verticalPadding,
int horizontalPadding,
int verticalStride,
int horizontalStride
)
{
res = CudaDNNNativeMethods.cudnnSetPooling2dDescriptor(_desc, mode, maxpoolingNanOpt, windowHeight, windowWidth, verticalPadding, horizontalPadding, verticalStride, horizontalStride);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnSetPooling2dDescriptor", res));
if (res != cudnnStatus.Success) throw new CudaDNNException(res);
}
/// <summary>
///
/// </summary>
public void GetCTCLossDescriptorEx(ref cudnnDataType compType, ref cudnnLossNormalizationMode normMode, ref cudnnNanPropagation gradMode)
{
res = CudaDNNNativeMethods.cudnnGetCTCLossDescriptorEx(_desc, ref compType, ref normMode, ref gradMode);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnGetCTCLossDescriptorEx", res));
if (res != cudnnStatus.Success)
{
throw new CudaDNNException(res);
}
}
