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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/CLWinogradFilterTransformKernel.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/CLWinogradFilterTransformKernel.h')
-rw-r--r-- | arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h | 28 |
1 files changed, 18 insertions, 10 deletions
diff --git a/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h index c4ae5745b8..7115710d59 100644 --- a/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h +++ b/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h @@ -48,22 +48,30 @@ public: ~CLWinogradFilterTransformKernel() = default; /** Set the input and output tensor. * - * @param[in] input Source tensor. The input is a 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] (NCHW data layout). - * kernel_x must be 3 and equal to kernel_y. Data types supported: F32. - * @param[out] output Destination tensor. The output is a 3D tensor with dimensions [OFM, IFM, 16]. Data type supported: same as @p input - * @param[in] output_tile Output tile. Currently only 2x2 and 4x4 tiles are supported. + * @note Winograd filter transform supports the following configurations: + * Output tile size: 2x2, 4x4 + * Kernel size: 3x3 + * Strides: only unit strides + * + * @param[in] input Source tensor. The input is a 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] (NCHW data layout). Data types supported: F32. + * @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_filter_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 Size2D &output_tile); + 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 CLWinogradFilterTransformKernel * - * @param[in] input Source tensor info. The input is a 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] (NCHW data layout). - * kernel_x must be 3 and equal to kernel_y. Data types supported: F32. - * @param[in] output Destination tensor info. The output is a 3D tensor with dimensions [OFM, IFM, 16]. Data type supported: same as @p input - * @param[in] output_tile Output tile. Currently only 2x2 and 4x4 tiles are supported. + * @note Winograd filter transform supports the following configurations: + * Output tile size: 2x2, 4x4 + * Kernel size: 3x3 + * Strides: only unit strides + * + * @param[in] input Source tensor. The input is a 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] (NCHW data layout). Data types supported: F32. + * @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_filter_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 Size2D &output_tile); + 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; |