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author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2018-03-22 11:24:56 +0000 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:49:16 +0000 |
commit | 247f52cfe337f7b2542b900e3d8cf122e9d4f11c (patch) | |
tree | bcbabb7f1eea588a5d37566829763506d328e7a9 /arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h | |
parent | eb8a399ba655b85c6854676832eb11b0af4108fe (diff) | |
download | ComputeLibrary-247f52cfe337f7b2542b900e3d8cf122e9d4f11c.tar.gz |
COMPMID-1013 - Create WinogradInfo data structure
COMPMID-1014 - Refactoring Winograd's dataset
Change-Id: I6abdcbf9a90d663f4db666cd410afece9f1d034d
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/125899
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h')
-rw-r--r-- | arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h | 30 |
1 files changed, 20 insertions, 10 deletions
diff --git a/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h index 15cd6e2649..2d1eadf3cf 100644 --- a/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h +++ b/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h @@ -46,28 +46,38 @@ public: CLWinogradInputTransformKernel &operator=(CLWinogradInputTransformKernel &&) = default; /** Set the input and output of the kernel. * - * @param[in] input The input tensor to permute. Data types supported: F32 - * @param[in] output The output tensor. Data types supported: Same as @p input - * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. Currently only unit strides are supported. - * @param[in] kernel_dims Kernel dimensions. Currently only 3x3 kernels are supported + * @note Winograd input transform supports the following configurations: + * Output tile size: 2x2 + * Kernel size: 3x3 + * Strides: only unit strides + * + * @param[in] input The input tensor to transform. Data types supported: F32 + * @param[in] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_input_transform_shape. Data types supported: Same as @p input + * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo. */ - void configure(const ICLTensor *input, ICLTensor *output, const PadStrideInfo &conv_info, const Size2D &kernel_dims); + void configure(const ICLTensor *input, ICLTensor *output, const WinogradInfo &winograd_info); /** Static function to check if given info will lead to a valid configuration of @ref CLWinogradInputTransformKernel * - * @param[in] input First tensor input info. Data types supported: F32. - * @param[in] output Output tensor info. Data types supported: same as @p input. - * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. Currently only unit strides are supported. - * @param[in] kernel_dims Kernel dimensions. Currently only 3x3 kernels are supported + * @note Winograd input transform supports the following configurations: + * Output tile size: 2x2 + * Kernel size: 3x3 + * Strides: only unit strides + * + * @param[in] input The input tensor to transform. Data types supported: F32 + * @param[in] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_input_transform_shape. Data types supported: Same as @p input + * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo. * * @return a status */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PadStrideInfo &conv_info, const Size2D &kernel_dims); + static Status validate(const ITensorInfo *input, const ITensorInfo *output, const WinogradInfo &winograd_info); // Inherited methods overridden: void run(const Window &window, cl::CommandQueue &queue) override; BorderSize border_size() const override; private: + using WinogradKey = std::pair<std::pair<int, int>, std::pair<int, int>>; + BorderSize _border_size; const ICLTensor *_input; ICLTensor *_output; |