From 247f52cfe337f7b2542b900e3d8cf122e9d4f11c Mon Sep 17 00:00:00 2001 From: Gian Marco Iodice Date: Thu, 22 Mar 2018 11:24:56 +0000 Subject: 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 Reviewed-by: Anthony Barbier --- .../CL/functions/CLWinogradInputTransform.h | 28 ++++++++++++++-------- 1 file changed, 18 insertions(+), 10 deletions(-) (limited to 'arm_compute/runtime/CL/functions/CLWinogradInputTransform.h') diff --git a/arm_compute/runtime/CL/functions/CLWinogradInputTransform.h b/arm_compute/runtime/CL/functions/CLWinogradInputTransform.h index 54b8bdecba..0e0d6bf284 100644 --- a/arm_compute/runtime/CL/functions/CLWinogradInputTransform.h +++ b/arm_compute/runtime/CL/functions/CLWinogradInputTransform.h @@ -39,22 +39,30 @@ class CLWinogradInputTransform : public ICLSimpleFunction public: /** Set the input and output tensors. * - * @param[in] input The input tensor to transform. 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(ICLTensor *input, ICLTensor *output, const PadStrideInfo &conv_info, const Size2D &kernel_dims); + void configure(ICLTensor *input, ICLTensor *output, const WinogradInfo &winograd_info); /** Static function to check if given info will lead to a valid configuration of @ref CLWinogradInputTransform. * - * @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); }; } #endif /*__ARM_COMPUTE_CLWINOGRADINPUTTRANSFORM_H__ */ -- cgit v1.2.1