diff options
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h')
-rw-r--r-- | arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h | 22 |
1 files changed, 7 insertions, 15 deletions
diff --git a/arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h b/arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h index 4fe5a111b6..5fbfdd18b7 100644 --- a/arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h +++ b/arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2019 ARM Limited. + * Copyright (c) 2018-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -24,10 +24,10 @@ #ifndef ARM_COMPUTE_CLNORMALIZEPLANARYUVLAYER_H #define ARM_COMPUTE_CLNORMALIZEPLANARYUVLAYER_H -#include "arm_compute/runtime/IFunction.h" - -#include "arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h" #include "arm_compute/core/Types.h" +#include "arm_compute/runtime/CL/ICLSimpleFunction.h" + +#include <cstdint> namespace arm_compute { @@ -37,15 +37,13 @@ class ICLTensor; * * @note The function simulates a NormalizePlanarYUV layer. */ -class CLNormalizePlanarYUVLayer : public IFunction +class CLNormalizePlanarYUVLayer : public ICLSimpleFunction { public: - /** Default constructor */ - CLNormalizePlanarYUVLayer(); /** Set the input and output tensors. * * @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels]. - * Data types supported: QASYMM8/F16/F32. + * Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32. * @param[out] output Destinationfeature 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 number of input channels. @@ -55,7 +53,7 @@ public: /** Static function to check if given info will lead to a valid configuration of @ref CLNormalizePlanarYUVLayer * * @param[in] input Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, channels]. - * Data types supported: QASYMM8/F16/F32. + * Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32. * @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. @@ -64,12 +62,6 @@ public: * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *std); - - // Inherited methods overridden: - void run() override; - -private: - CLNormalizePlanarYUVLayerKernel _norm_kernel; /**< NormalizePlanarYUV layer kernel to run */ }; } // namespace arm_compute #endif /* ARM_COMPUTE_CLNORMALIZEPLANARYUVLAYER_H */ |