From b57be0da77370e5e71fe82dfa281f528279e8127 Mon Sep 17 00:00:00 2001 From: Michele Di Giorgio Date: Fri, 31 Aug 2018 16:26:25 +0100 Subject: COMPMID-1330: Add support for NormalizePlanarYUV operator in CL Change-Id: Id0754b9e2bc3ef7ff2c4c21c3b89709588c41bd3 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/146637 Tested-by: Jenkins Reviewed-by: Georgios Pinitas Reviewed-by: Giorgio Arena --- .../kernels/GCNormalizePlanarYUVLayerKernel.h | 26 ++++++++++++++++------ 1 file changed, 19 insertions(+), 7 deletions(-) (limited to 'arm_compute/core/GLES_COMPUTE') diff --git a/arm_compute/core/GLES_COMPUTE/kernels/GCNormalizePlanarYUVLayerKernel.h b/arm_compute/core/GLES_COMPUTE/kernels/GCNormalizePlanarYUVLayerKernel.h index 0d785ca0d4..7ffe5b20df 100644 --- a/arm_compute/core/GLES_COMPUTE/kernels/GCNormalizePlanarYUVLayerKernel.h +++ b/arm_compute/core/GLES_COMPUTE/kernels/GCNormalizePlanarYUVLayerKernel.h @@ -50,14 +50,26 @@ public: /** Set the input and output tensors. * - * @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, FM]. + * @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels]. * Data types supported: F16. - * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as @p input - * @param[in] mean Mean values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input - * @param[in] sd Standard deviation values tensor. 1 dimension with size equal to the feature maps [FM]. - * Data types supported: Same as @p input + * @param[out] output Destination tensor. Data type supported: same as @p input + * @param[in] mean Mean values tensor. 1 dimension with size equal to the number of input channels. Data types supported: same as @p input + * @param[in] std Standard deviation values tensor. 1 dimension with size equal to the feature maps [FM]. + * Data types supported: same as @p input */ - void configure(const IGCTensor *input, IGCTensor *output, const IGCTensor *mean, const IGCTensor *sd); + void configure(const IGCTensor *input, IGCTensor *output, const IGCTensor *mean, const IGCTensor *std); + /** Static function to check if given info will lead to a valid configuration of @ref GCNormalizePlanarYUVLayerKernel + * + * @param[in] input Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, channels]. + * Data types supported: F16. + * @param[out] output Destination tensor info. Data type supported: same as @p input + * @param[in] mean Mean values tensor info. 1 dimension with size equal to the number of input channels. Data types supported: same as @p input + * @param[in] std Standard deviation values tensor info. 1 dimension with size equal to the number of input channels. + * Data types supported: same as @p input + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *std); // Inherited methods overridden: void run(const Window &window) override; @@ -66,7 +78,7 @@ private: const IGCTensor *_input; IGCTensor *_output; const IGCTensor *_mean; - const IGCTensor *_sd; + const IGCTensor *_std; }; } #endif /*__ARM_COMPUTE_GCNORMALIZEPLANARYUVLAYERKERNEL_H__ */ -- cgit v1.2.1