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| author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2018-08-31 16:26:25 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
| commit | b57be0da77370e5e71fe82dfa281f528279e8127 (patch) | |
| tree | 2e08acec6363b74f840bad04c3b7195a0bd1b300 /arm_compute/core/GLES_COMPUTE | |
| parent | a34286ecabf4fc9e66e423332063a3d5fb17b8f8 (diff) | |
| download | ComputeLibrary-b57be0da77370e5e71fe82dfa281f528279e8127.tar.gz | |
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 <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Diffstat (limited to 'arm_compute/core/GLES_COMPUTE')
| -rw-r--r-- | arm_compute/core/GLES_COMPUTE/kernels/GCNormalizePlanarYUVLayerKernel.h | 26 |
1 files changed, 19 insertions, 7 deletions
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__ */ |