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| author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2017-06-26 17:20:16 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 14:15:39 +0100 |
| commit | 13edbff0820c3b41e7dd766db5a9d6ff65fcda2a (patch) | |
| tree | b17fbea676fe0a77153b1610f88ebc6faa30e023 /arm_compute/core/NEON/kernels/NEIm2ColKernel.h | |
| parent | 238cfc06ed377045df9b76c2047081d27ab9ff66 (diff) | |
| download | ComputeLibrary-13edbff0820c3b41e7dd766db5a9d6ff65fcda2a.tar.gz | |
COMPMID-432 - Extended Convolution Layer to support rectangular kernels
Change-Id: I99be1efede4de6dd63ce103fb11196c413757621
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/79252
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Moritz Pflanzer <moritz.pflanzer@arm.com>
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEIm2ColKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEIm2ColKernel.h | 18 |
1 files changed, 10 insertions, 8 deletions
diff --git a/arm_compute/core/NEON/kernels/NEIm2ColKernel.h b/arm_compute/core/NEON/kernels/NEIm2ColKernel.h index e219ce2e0e..9b8b98b388 100644 --- a/arm_compute/core/NEON/kernels/NEIm2ColKernel.h +++ b/arm_compute/core/NEON/kernels/NEIm2ColKernel.h @@ -29,6 +29,7 @@ namespace arm_compute { class ITensor; +class Size2D; /** Interface for the im2col reshape kernel. * @@ -71,14 +72,14 @@ public: /** Set the input and output of the kernel. * - * @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM], - * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/F16/F32 - * @param[out] output The output tensor. Data types supported: Same as @p input - * @param[in] convolved_dims The convolved output dimensions. - * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. - * @param[in] has_bias In case biases are provided expands the matrix with 1. + * @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM], + * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/F16/F32 + * @param[out] output The output tensor. Data types supported: Same as @p input + * @param[in] kernel_dims The kernel dimensions (width and height). + * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. + * @param[in] has_bias In case biases are provided expands the matrix with 1. */ - void configure(const ITensor *input, ITensor *output, std::pair<unsigned int, unsigned int> convolved_dims, const PadStrideInfo &conv_info, bool has_bias); + void configure(const ITensor *input, ITensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias); // Inherited methods overridden: void run(const Window &window) override; @@ -107,7 +108,8 @@ private: ITensor *_output; std::pair<unsigned int, unsigned int> _convolved_dims; PadStrideInfo _conv_info; - unsigned int _kernel_size; + unsigned int _kernel_width; + unsigned int _kernel_height; bool _has_bias; }; } |