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Diffstat (limited to 'src/routines/levelx/xconvgemm.hpp')
-rw-r--r-- | src/routines/levelx/xconvgemm.hpp | 53 |
1 files changed, 53 insertions, 0 deletions
diff --git a/src/routines/levelx/xconvgemm.hpp b/src/routines/levelx/xconvgemm.hpp new file mode 100644 index 00000000..ac27657f --- /dev/null +++ b/src/routines/levelx/xconvgemm.hpp @@ -0,0 +1,53 @@ + +// ================================================================================================= +// This file is part of the CLBlast project. The project is licensed under Apache Version 2.0. This +// project loosely follows the Google C++ styleguide and uses a tab-size of two spaces and a max- +// width of 100 characters per line. +// +// Author(s): +// Cedric Nugteren <www.cedricnugteren.nl> +// +// This file implements the Xconvgemm routine. The precision is implemented as a template argument. +// This implements batched convolution of a 4D input 'image' tensor, a 3D input 'kernel' matrix, +// resulting in a 4D output 'result' tensor. +// +// ================================================================================================= + +#ifndef CLBLAST_ROUTINES_XCONVGEMM_H_ +#define CLBLAST_ROUTINES_XCONVGEMM_H_ + +#include "routine.hpp" + +namespace clblast { +// ================================================================================================= + +// See comment at top of file for a description of the class +template <typename T> +class Xconvgemm: public Routine { + public: + + // Constructor + enum class ConvGemmMethod {kWithIm2Col, kSingleKernel}; + Xconvgemm(Queue &queue, EventPointer event, const std::string &name = "CONVGEMM", + const ConvGemmMethod method = ConvGemmMethod::kSingleKernel); + + // Templated-precision implementation of the routine + void DoConvgemm(const size_t channels, const size_t height, const size_t width, + const size_t kernel_h, const size_t kernel_w, + const size_t pad_h, const size_t pad_w, + const size_t stride_h, const size_t stride_w, + const size_t dilation_h, const size_t dilation_w, + const size_t num_kernels, const size_t batch_count, + const Buffer<T> &im_buffer, const size_t im_offset, + const Buffer<T> &kernel_buffer, const size_t kernel_offset, + const Buffer<T> &result_buffer, const size_t result_offset); + + private: + const ConvGemmMethod method_; +}; + +// ================================================================================================= +} // namespace clblast + +// CLBLAST_ROUTINES_XCONVGEMM_H_ +#endif |