diff options
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__ */ |