本文整理汇总了C#中ManagedCuda.BasicTypes.CUdeviceptr类的典型用法代码示例。如果您正苦于以下问题：C# CUdeviceptr类的具体用法？C# CUdeviceptr怎么用？C# CUdeviceptr使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
CUdeviceptr类属于ManagedCuda.BasicTypes命名空间，在下文中一共展示了CUdeviceptr类的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: DrawString
public static void DrawString(string str, int x, int y, uint bgColor, uint fgColor, CUdeviceptr image, int imageWidth, int imageHeight, int maxStringSize = 20)
{
// Crop if the string is too long
if (str.Length > maxStringSize)
str = str.Substring(0, maxStringSize);
if (str.Length > 200)
{
//__constant__ int D_DIGIT_INDEXES[200];
throw new ArgumentException("Hardcoded value in DrawDigitsKernel.cs");
}
MyCudaKernel m_drawDigitKernel = MyKernelFactory.Instance.Kernel(MyKernelFactory.Instance.DevCount - 1, @"Observers\DrawDigitsKernel");
CudaDeviceVariable<float> characters = MyMemoryManager.Instance.GetGlobalVariable<float>("CHARACTERS_TEXTURE", MyKernelFactory.Instance.DevCount - 1, LoadDigits);
m_drawDigitKernel.SetConstantVariable("D_BG_COLOR", bgColor);
m_drawDigitKernel.SetConstantVariable("D_FG_COLOR", fgColor);
m_drawDigitKernel.SetConstantVariable("D_IMAGE_WIDTH", imageWidth);
m_drawDigitKernel.SetConstantVariable("D_IMAGE_HEIGHT", imageHeight);
m_drawDigitKernel.SetConstantVariable("D_DIGIT_WIDTH", CharacterWidth);
m_drawDigitKernel.SetConstantVariable("D_DIGIT_SIZE", CharacterSize);
m_drawDigitKernel.SetConstantVariable("D_DIGITMAP_NBCHARS", CharacterMapNbChars);
int[] indexes = StringToDigitIndexes(str);
m_drawDigitKernel.SetConstantVariable("D_DIGIT_INDEXES", indexes);
m_drawDigitKernel.SetConstantVariable("D_DIGIT_INDEXES_LEN", indexes.Length);
m_drawDigitKernel.SetupExecution(CharacterSize * indexes.Length);
m_drawDigitKernel.Run(image, characters.DevicePointer, x, y);
}示例2: cudnnActivationForward
public static extern cudnnStatus cudnnActivationForward( cudnnHandle handle,
cudnnActivationMode mode,
ref float alpha,
cudnnTensorDescriptor srcDesc,
CUdeviceptr srcData,
ref float beta,
cudnnTensorDescriptor destDesc,
CUdeviceptr destData
);示例3: cublasAxpyEx
public static extern CublasStatus cublasAxpyEx(CudaBlasHandle handle,
int n,
CUdeviceptr alpha, /* host or device pointer */
cudaDataType alphaType,
CUdeviceptr x,
cudaDataType xType,
int incx,
CUdeviceptr y,
cudaDataType yType,
int incy,
cudaDataType executiontype);示例4: Bind
public override void Bind(CUdeviceptr firstInput, params CUdeviceptr[] otherInputs)
{
if (otherInputs == null)
otherInputs = new CUdeviceptr[] { firstInput };
var output = otherInputs[otherInputs.Length - 1];
m_XORKernel.Run(firstInput, otherInputs[0], output, (int)MyJoin.MyJoinOperation.XOR, m_inputSize);
for (int i = 1; i < otherInputs.Length - 1; ++i)
m_XORKernel.Run(otherInputs[i], output, output, (int)MyJoin.MyJoinOperation.XOR, m_inputSize);
}示例5: cusparseCbsric02
public static extern cusparseStatus cusparseCbsric02(cusparseContext handle,
cusparseDirection dirA,
int mb,
int nnzb,
cusparseMatDescr descrA,
CUdeviceptr bsrVal,
CUdeviceptr bsrRowPtr,
CUdeviceptr bsrColInd,
int blockDim,
bsric02Info info,
cusparseSolvePolicy policy,
CUdeviceptr pBuffer);示例6: cusparseCbsr2csr
public static extern cusparseStatus cusparseCbsr2csr(cusparseContext handle,
cusparseDirection dirA,
int mb,
int nb,
cusparseMatDescr descrA,
CUdeviceptr bsrValA,
CUdeviceptr bsrRowPtrA,
CUdeviceptr bsrColIndA,
int blockDim,
cusparseMatDescr descrC,
CUdeviceptr csrValC,
CUdeviceptr csrRowPtrC,
CUdeviceptr csrColIndC);示例7: cudnnActivationBackward
public static extern cudnnStatus cudnnActivationBackward( cudnnHandle handle,
cudnnActivationDescriptor activationDesc,
ref float alpha,
cudnnTensorDescriptor srcDesc,
CUdeviceptr srcData,
cudnnTensorDescriptor srcDiffDesc,
CUdeviceptr srcDiffData,
cudnnTensorDescriptor destDesc,
CUdeviceptr destData,
ref float beta,
cudnnTensorDescriptor destDiffDesc,
CUdeviceptr destDiffData
);示例8: NPPImage_32sC4
/// <summary>
/// Creates a new NPPImage from allocated device ptr.
/// </summary>
/// <param name="devPtr">Already allocated device ptr.</param>
/// <param name="width">Image width in pixels</param>
/// <param name="height">Image height in pixels</param>
/// <param name="pitch">Pitch / Line step</param>
/// <param name="isOwner">If TRUE, devPtr is freed when disposing</param>
public NPPImage_32sC4(CUdeviceptr devPtr, int width, int height, int pitch, bool isOwner)
{
_devPtr = devPtr;
_devPtrRoi = _devPtr;
_sizeOriginal.width = width;
_sizeOriginal.height = height;
_sizeRoi.width = width;
_sizeRoi.height = height;
_pitch = pitch;
_channels = 4;
_isOwner = isOwner;
_typeSize = sizeof(int);
}示例9: NPPImage_32fcC2
/// <summary>
/// Creates a new NPPImage from allocated device ptr.
/// </summary>
/// <param name="devPtr">Already allocated device ptr.</param>
/// <param name="width">Image width in pixels</param>
/// <param name="height">Image height in pixels</param>
/// <param name="pitch">Pitch / Line step</param>
/// <param name="isOwner">If TRUE, devPtr is freed when disposing</param>
public NPPImage_32fcC2(CUdeviceptr devPtr, int width, int height, int pitch, bool isOwner)
{
_devPtr = devPtr;
_devPtrRoi = _devPtr;
_sizeOriginal.width = width;
_sizeOriginal.height = height;
_sizeRoi.width = width;
_sizeRoi.height = height;
_pitch = pitch;
_channels = 2;
_isOwner = isOwner;
_typeSize = Marshal.SizeOf(typeof(Npp32fc));
}示例10: cudnnActivationBackward
public static extern cudnnStatus cudnnActivationBackward( cudnnHandle handle,
cudnnActivationMode mode,
ref double alpha,
cudnnTensorDescriptor srcDesc,
CUdeviceptr srcData,
cudnnTensorDescriptor srcDiffDesc,
CUdeviceptr srcDiffData,
cudnnTensorDescriptor destDesc,
CUdeviceptr destData,
ref double beta,
cudnnTensorDescriptor destDiffDesc,
CUdeviceptr destDiffData
);示例11: Bind
void Bind(CUdeviceptr firstInput, IEnumerable<CUdeviceptr> otherInputs, CUdeviceptr output, int method)
{
if (otherInputs == null)
throw new ArgumentNullException("otherInputs");
var second = otherInputs.FirstOrDefault();
if (second == null)
throw new ArgumentException("Nothing to bind with...");
m_binaryPermKernel.RunAsync(m_stream, firstInput, second, output, method, m_inputSize);
foreach (var input in otherInputs.Skip(1)) // Exclude the second input
m_binaryPermKernel.RunAsync(m_stream, input, output, output, method, m_inputSize);
}示例12: Bind
public override void Bind(CUdeviceptr firstInput, IEnumerable<CUdeviceptr> otherInputs, CUdeviceptr output)
{
m_fft.Exec(firstInput, m_tempBlock.GetDevicePtr(m_owner, m_secondFFTOffset));
foreach (var input in otherInputs)
{
m_fft.Exec(input, m_tempBlock.GetDevicePtr(m_owner, m_firstFFTOffset));
m_mulkernel.RunAsync(
m_stream,
m_tempBlock.GetDevicePtr(m_owner, m_firstFFTOffset),
m_tempBlock.GetDevicePtr(m_owner, m_secondFFTOffset),
m_tempBlock.GetDevicePtr(m_owner, m_secondFFTOffset), m_inputSize + 1);
}
FinishBinding(output);
}示例13: DrawStringFromGPUMem
public static void DrawStringFromGPUMem(CudaDeviceVariable<float> inString, int x, int y, uint bgColor, uint fgColor, CUdeviceptr image, int imageWidth, int imageHeight, int stringOffset, int stringLen)
{
MyCudaKernel m_drawDigitKernel = MyKernelFactory.Instance.Kernel(MyKernelFactory.Instance.DevCount - 1, @"Observers\DrawStringKernel");
CudaDeviceVariable<float> characters = MyMemoryManager.Instance.GetGlobalVariable<float>("CHARACTERS_TEXTURE", MyKernelFactory.Instance.DevCount - 1, LoadDigits);
//MyKernelFactory.Instance.Synchronize();
m_drawDigitKernel.SetConstantVariable("D_BG_COLOR", bgColor);
m_drawDigitKernel.SetConstantVariable("D_FG_COLOR", fgColor);
m_drawDigitKernel.SetConstantVariable("D_IMAGE_WIDTH", imageWidth);
m_drawDigitKernel.SetConstantVariable("D_IMAGE_HEIGHT", imageHeight);
m_drawDigitKernel.SetConstantVariable("D_DIGIT_WIDTH", CharacterWidth);
m_drawDigitKernel.SetConstantVariable("D_DIGIT_SIZE", CharacterSize);
m_drawDigitKernel.SetConstantVariable("D_DIGITMAP_NBCHARS", CharacterMapNbChars);
m_drawDigitKernel.SetupExecution(CharacterSize * stringLen);
m_drawDigitKernel.Run(image, characters.DevicePointer, x, y, inString.DevicePointer + sizeof(float) * stringOffset, stringLen);
}示例14: cudnnDivisiveNormalizationBackward
public void cudnnDivisiveNormalizationBackward(
cudnnDivNormMode mode,
float alpha,
cudnnTensorDescriptor srcDesc, // same desc for diff, means, temp, temp2
CUdeviceptr srcData,
CUdeviceptr srcMeansData, // if NULL, means are assumed to be zero
CUdeviceptr srcDiffData,
CUdeviceptr tempData,
CUdeviceptr tempData2,
float betaData,
cudnnTensorDescriptor destDataDesc, // same desc for dest, means, meansDiff
CUdeviceptr destDataDiff, // output data differential
CUdeviceptr destMeansDiff // output means differential, can be NULL
)
{
res = CudaDNNNativeMethods.cudnnDivisiveNormalizationBackward(_handle, _desc, mode, ref alpha, srcDesc, srcData, srcMeansData, srcDiffData, tempData, tempData2, ref betaData, destDataDesc, destDataDiff, destMeansDiff);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnDivisiveNormalizationBackward", res));
if (res != cudnnStatus.Success) throw new CudaDNNException(res);
}示例15: Bind
void Bind(CUdeviceptr firstInput, CUdeviceptr[] otherInputs, int method)
{
if (otherInputs == null)
otherInputs = new[] { firstInput };
var output = otherInputs[otherInputs.Length - 1];
if (otherInputs.Length <= 2)
{
m_binaryPermKernel.Run(firstInput, otherInputs[0], output, method, m_inputSize);
return;
}
m_tempBlock.Host[0] = firstInput;
for (int i = 1; i < otherInputs.Length; i++)
m_tempBlock.Host[i] = otherInputs[i - 1];
m_tempBlock.SafeCopyToDevice(0, otherInputs.Length);
m_PermKernel.Run(m_tempBlock, m_tempBlock.Count, output, method, m_inputSize);
}