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24 #ifndef __ARM_COMPUTE__H__
25 #define __ARM_COMPUTE_GCNORMALIZEPLANARYUVLAYERKERNEL_H__
27 #include "arm_compute/core/GLES_COMPUTE/IGCKernel.h"
33 /** Interface for the NormalizePlanarYUV layer kernel.
35 class GCNormalizePlanarYUVLayerKernel : public IGCKernel
39 GCNormalizePlanarYUVLayerKernel();
40 /** Prevent instances of this class from being copied (As this class contains pointers) */
41 GCNormalizePlanarYUVLayerKernel(const GCNormalizePlanarYUVLayerKernel &) = delete;
42 /** Prevent instances of this class from being copied (As this class contains pointers) */
43 GCNormalizePlanarYUVLayerKernel &operator=(const GCNormalizePlanarYUVLayerKernel &) = delete;
44 /** Default Move Constructor. */
45 GCNormalizePlanarYUVLayerKernel(GCNormalizePlanarYUVLayerKernel &&) = default;
46 /** Default move assignment operator */
47 GCNormalizePlanarYUVLayerKernel &operator=(GCNormalizePlanarYUVLayerKernel &&) = default;
48 /** Default destructor */
49 ~GCNormalizePlanarYUVLayerKernel() = default;
51 /** Set the input and output tensors.
53 * @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, FM].
54 * Data types supported: F16.
55 * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as @p input
56 * @param[in] mean Mean values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
57 * @param[in] sd Standard deviation values tensor. 1 dimension with size equal to the feature maps [FM].
58 * Data types supported: Same as @p input
60 void configure(const IGCTensor *input, IGCTensor *output, const IGCTensor *mean, const IGCTensor *sd);
62 // Inherited methods overridden:
63 void run(const Window &window) override;
66 const IGCTensor *_input;
68 const IGCTensor *_mean;
72 #endif /*__ARM_COMPUTE_GCNORMALIZEPLANARYUVLAYERKERNEL_H__ */