text stringlengths 0 2.2M |
|---|
#pragma endregion Member BLAS Functions
|
#pragma region Other helper functions
|
template <class ElemType>
|
void GPUMatrix<ElemType>::Print(const char* matrixName, size_t rowStart, size_t rowEnd, size_t colStart, size_t colEnd) const
|
{
|
}
|
template <class ElemType>
|
void GPUMatrix<ElemType>::Print(const char* matrixName /*=nullptr*/) const
|
{
|
}
|
//helpfer function used for convolution neural network
|
template <class ElemType>
|
GPUMatrix<ElemType>& GPUMatrix<ElemType>::AssignPackedConvolutionInput(const GPUMatrix<ElemType>& inputSubBatch,
|
const size_t inputWidth, const size_t inputHeight, const size_t inputChannels,
|
const size_t outputWidth, const size_t outputHeight, const size_t outputChannels,
|
const size_t kernelWidth, const size_t kernelHeight, const size_t horizontalSubsample, const size_t verticalSubsample,
|
const bool zeroPadding)
|
{
|
return *this;
|
}
|
//helpfer function used for convolution neural network
|
template <class ElemType>
|
GPUMatrix<ElemType>& GPUMatrix<ElemType>::UnpackConvolutionInput(GPUMatrix<ElemType>& inputSubBatch,
|
const size_t inputWidth, const size_t inputHeight, const size_t inputChannels,
|
const size_t outputWidth, const size_t outputHeight, const size_t outputChannels,
|
const size_t kernelWidth, const size_t kernelHeight, const size_t horizontalSubsample, const size_t verticalSubsample,
|
const bool zeroPadding) const
|
{
|
return inputSubBatch;
|
}
|
template <class ElemType>
|
GPUMatrix<ElemType>& GPUMatrix<ElemType>::AssignMaxPoolingResult(const GPUMatrix<ElemType>& inputBatch, const size_t channels,
|
const size_t inputWidth, const size_t inputHeight, const size_t inputSizePerSample,
|
const size_t outputWidth, const size_t outputHeight, const size_t outputSizePerSample,
|
const size_t windowWidth, const size_t windowHeight, const size_t horizontalSubsample, const size_t verticalSubsample)
|
{
|
return *this;
|
}
|
template <class ElemType>
|
GPUMatrix<ElemType>& GPUMatrix<ElemType>::AddMaxPoolingGradient(const GPUMatrix<ElemType>& outputGradientBatch, const GPUMatrix<ElemType>& inputBatch, const GPUMatrix<ElemType>& outputBatch,
|
const size_t channels,
|
const size_t inputWidth, const size_t inputHeight, const size_t inputSizePerSample,
|
const size_t outputWidth, const size_t outputHeight, const size_t outputSizePerSample,
|
const size_t windowWidth, const size_t windowHeight, const size_t horizontalSubsample, const size_t verticalSubsample)
|
{
|
return *this;
|
}
|
template <class ElemType>
|
GPUMatrix<ElemType>& GPUMatrix<ElemType>::AssignAveragePoolingResult(const GPUMatrix<ElemType>& inputBatch, const size_t channels,
|
const size_t inputWidth, const size_t inputHeight, const size_t inputSizePerSample,
|
const size_t outputWidth, const size_t outputHeight, const size_t outputSizePerSample,
|
const size_t windowWidth, const size_t windowHeight, const size_t horizontalSubsample, const size_t verticalSubsample)
|
{
|
return *this;
|
}
|
template <class ElemType>
|
GPUMatrix<ElemType>& GPUMatrix<ElemType>::AddAveragePoolingGradient(const GPUMatrix<ElemType>& outputGradientBatch,
|
const size_t channels,
|
const size_t inputWidth, const size_t inputHeight, const size_t inputSizePerSample,
|
const size_t outputWidth, const size_t outputHeight, const size_t outputSizePerSample,
|
const size_t windowWidth, const size_t windowHeight, const size_t horizontalSubsample, const size_t verticalSubsample)
|
{
|
return *this;
|
}
|
template <class ElemType>
|
void GPUMatrix<ElemType>::ConvolutionForward(const GPUMatrix<ElemType>& kernel, const GPUMatrix<int>& mpRowCol, const GPUMatrix<int>& mpRowIwht,
|
const GPUMatrix<int>& mpRowRun, const GPUMatrix<int>& runs, GPUMatrix<ElemType>& output) const
|
{
|
}
|
template <class ElemType>
|
void GPUMatrix<ElemType>::ConvolutionBackwardData(const GPUMatrix<ElemType>& kernel, const GPUMatrix<int>& mpRowCol, const GPUMatrix<int>& mpRowIwht,
|
const GPUMatrix<int>& mpRowRun, const GPUMatrix<int>& runs, GPUMatrix<ElemType>& grad) const
|
{
|
}
|
template <class ElemType>
|
void GPUMatrix<ElemType>::ConvolutionBackwardKernel(const GPUMatrix<ElemType>& in, const GPUMatrix<int>& mpRowCol, const GPUMatrix<int>& mpRowIwht,
|
const GPUMatrix<int>& mpRowRun, const GPUMatrix<int>& runs, GPUMatrix<ElemType>& kernelGrad) const
|
{
|
}
|
template <class ElemType>
|
void GPUMatrix<ElemType>::MaxROIPoolingForward(const size_t numRois, const size_t numImg, const size_t channels, const size_t width, const size_t height,
|
const size_t pooledWidth, const size_t pooledHeight, const GPUMatrix<ElemType>& roiData, GPUMatrix<ElemType>& output, GPUMatrix<ElemType>& argmax, double spatialScale) const
|
{
|
}
|
template <class ElemType>
|
void GPUMatrix<ElemType>::MaxROIPoolingBackward(const size_t numRois, const size_t numImg, const size_t channels, const size_t width, const size_t height,
|
const size_t pooledWidth, const size_t pooledHeight, const GPUMatrix<ElemType>& roiData, GPUMatrix<ElemType>& grad, GPUMatrix<ElemType>& argmax, double spatialScale) const
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.