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+/*
+ * Copyright (c) 2019-2021, 2023 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_NEPADLAYERKERNEL_H
+#define ARM_COMPUTE_NEPADLAYERKERNEL_H
+
+#include "arm_compute/core/PixelValue.h"
+
+#include "src/core/NEON/INEKernel.h"
+
+namespace arm_compute
+{
+class ITensor;
+
+/** Basic kernel to pad the input tensor given padding information. */
+class NEPadLayerKernel : public INEKernel
+{
+public:
+ const char *name() const override
+ {
+ return "NEPadLayerKernel";
+ }
+ /** Default constructor */
+ NEPadLayerKernel();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NEPadLayerKernel(const NEPadLayerKernel &) = delete;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NEPadLayerKernel &operator=(const NEPadLayerKernel &) = delete;
+ /** Allow instances of this class to be moved */
+ NEPadLayerKernel(NEPadLayerKernel &&) = default;
+ /** Allow instances of this class to be moved */
+ NEPadLayerKernel &operator=(NEPadLayerKernel &&) = default;
+ /** Default destructor */
+ ~NEPadLayerKernel() = default;
+
+ /** Initialize the function
+ *
+ * @param[in] input Source tensor. Data types supported: All.
+ * @param[out] output Output tensor. Data type supported: same as @p input
+ * @param[in] padding The padding for each spatial dimension of the input tensor. The pair padding[i]
+ * specifies the front and the end padding in the i-th dimension.
+ * @param[in] constant_value (Optional) Constant value to be used for the padding
+ * @param[in] mode (Optional) Controls whether the padding should be filled with @p constant_value using CONSTANT.
+ * Only CONSTANT padding mode is currently supported
+ */
+ void configure(ITensor *input,
+ ITensor *output,
+ const PaddingList &padding,
+ const PixelValue constant_value = PixelValue(),
+ const PaddingMode mode = PaddingMode::CONSTANT);
+ /** Static function to check if given info will lead to a valid configuration of @ref NEPadLayer.
+ *
+ * @param[in] input Source tensor info. Data types supported: All.
+ * @param[in] output Output tensor info. Data type supported: same as @p input
+ * @param[in] padding The padding for each spatial dimension of the input tensor. The pair padding[i]
+ * specifies the front and the end padding in the i-th dimension.
+ * @param[in] constant_value (Optional) Constant value to be used for the padding
+ * @param[in] mode (Optional) Controls whether the padding should be filled with @p constant_value using CONSTANT.
+ * Only CONSTANT padding mode is currently supported
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *input,
+ const ITensorInfo *output,
+ const PaddingList &padding,
+ const PixelValue constant_value = PixelValue(),
+ const PaddingMode mode = PaddingMode::CONSTANT);
+
+ // Inherited methods overridden:
+ void run(const Window &window, const ThreadInfo &info) override;
+
+ /** Return minimum workload size of the relevant kernel
+ *
+ * @param[in] platform The CPU platform used to create the context.
+ * @param[in] thread_count Number of threads in the execution.
+ *
+ * @return[out] small_network_mws Minimum workload size for requsted configuration.
+ */
+ size_t get_mws(const CPUInfo &platform, size_t thread_count) const override;
+
+private:
+ /** Template function to run the padding function with constant padding
+ *
+ * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()).
+ */
+ template <typename T>
+ void run_pad_constant(const Window &window);
+
+ /** Function to run the padding function with constant padding for 3D input and 1D, 2D, 3D padding
+ *
+ * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()).
+ */
+ void run_pad_constant_uint8_3Dinput_3Dpad(const Window &window);
+
+ /** Common signature for all the specialised permute functions
+ *
+ * @param[in] window Region on which to execute the kernel.
+ */
+ using PadFunctionPtr = void (NEPadLayerKernel::*)(const Window &window);
+
+ PadFunctionPtr _func;
+ const ITensor *_input;
+ ITensor *_output;
+ PaddingList _padding;
+ PixelValue _constant_value;
+ PaddingMode _mode;
+};
+} // namespace arm_compute
+#endif /*ARM_COMPUTE_NEPADLAYERKERNEL_H */