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| author | Giorgio Arena <giorgio.arena@arm.com> | 2018-03-15 17:58:20 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:49:16 +0000 |
| commit | 2d9de0a3fa6ad858e70040124f362799a962bb6a (patch) | |
| tree | 0a055c5100438a929b3b04945821665d2fef8751 /arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h | |
| parent | ed99f411d52949720a4d64d91664cd71e46b79d5 (diff) | |
| download | ComputeLibrary-2d9de0a3fa6ad858e70040124f362799a962bb6a.tar.gz | |
COMPMID-1009 Support 4x4 output tile for Winograd Filter Transform on OpenCL.
Change-Id: I68c6453e0f192de659582404f109a89616b9fbb9
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/124811
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h | 18 |
1 files changed, 10 insertions, 8 deletions
diff --git a/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h index ec5e51482a..c4ae5745b8 100644 --- a/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h +++ b/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h @@ -48,20 +48,22 @@ 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] 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. */ - void configure(const ICLTensor *input, ICLTensor *output); + void configure(const ICLTensor *input, ICLTensor *output, const Size2D &output_tile); /** 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] 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. * * @return a status */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output); + static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &output_tile); // Inherited methods overridden: void run(const Window &window, cl::CommandQueue &queue) override; |