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+/*
+ * Copyright (c) 2018-2020 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_CLNORMALIZEPLANARYUVLAYERKERNEL_H
+#define ARM_COMPUTE_CLNORMALIZEPLANARYUVLAYERKERNEL_H
+
+#include "src/core/CL/ICLKernel.h"
+
+namespace arm_compute
+{
+class ICLTensor;
+
+/** Interface for the NormalizePlanarYUV layer kernel. */
+class CLNormalizePlanarYUVLayerKernel : public ICLKernel
+{
+public:
+ /** Constructor */
+ CLNormalizePlanarYUVLayerKernel();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLNormalizePlanarYUVLayerKernel(const CLNormalizePlanarYUVLayerKernel &) = delete;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLNormalizePlanarYUVLayerKernel &operator=(const CLNormalizePlanarYUVLayerKernel &) = delete;
+ /** Default Move Constructor. */
+ CLNormalizePlanarYUVLayerKernel(CLNormalizePlanarYUVLayerKernel &&) = default;
+ /** Default move assignment operator */
+ CLNormalizePlanarYUVLayerKernel &operator=(CLNormalizePlanarYUVLayerKernel &&) = default;
+ /** Default destructor */
+ ~CLNormalizePlanarYUVLayerKernel() = default;
+
+ /** 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/QASYMM8_SIGNED/F16/F32.
+ * @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 number of input channels.
+ * Data types supported: same as @p input
+ */
+ void configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std);
+ /** Set the input and output tensors.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels].
+ * Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
+ * @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 number of input channels.
+ * Data types supported: same as @p input
+ */
+ void configure(const CLCompileContext &compile_context,
+ const ICLTensor *input,
+ ICLTensor *output,
+ const ICLTensor *mean,
+ const ICLTensor *std);
+ /** Static function to check if given info will lead to a valid configuration of @ref CLNormalizePlanarYUVLayerKernel
+ *
+ * @param[in] input Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, channels].
+ * 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.
+ * 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, cl::CommandQueue &queue) override;
+
+private:
+ const ICLTensor *_input;
+ ICLTensor *_output;
+ const ICLTensor *_mean;
+ const ICLTensor *_std;
+};
+} // namespace arm_compute
+#endif /*ARM_COMPUTE_CLNORMALIZEPLANARYUVLAYERKERNEL_H */