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+/*
+ * Copyright (c) 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_CLMAXUNPOOLINGLAYER_H
+#define ARM_COMPUTE_CLMAXUNPOOLINGLAYER_H
+
+#include "arm_compute/runtime/IFunction.h"
+
+#include "arm_compute/core/CL/kernels/CLMaxUnpoolingLayerKernel.h"
+#include "arm_compute/core/CL/kernels/CLMemsetKernel.h"
+
+namespace arm_compute
+{
+class ITensor;
+
+/** Function to perform MaxUnpooling. This function calls the following OpenCL kernels:
+ *
+ * -# @ref CLMemsetKernel
+ * -# @ref CLMaxUnpoolingLayerKernel
+ */
+class CLMaxUnpoolingLayer : public IFunction
+{
+public:
+ /** Constructor */
+ CLMaxUnpoolingLayer();
+ /** Set the input and output tensors.
+ *
+ * @note Output shape must be equal to the shape of the original input to pool.
+ *
+ * @param[in] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
+ * @param[in] indices Tensor containing the offset to store the input elements in the output tensor.
+ * @ref CLPoolingLayer with indices should precede this function in order to
+ * properly reconstruct the output tensor.
+ * The tensor shape of this tensor has to be equal to the input tensor shape. Data type supported: U32.
+ * @param[out] output Destination tensor. Data types supported: Same as @p input.
+ * @param[in] pool_info Contains pooling operation information described in @ref PoolingLayerInfo.
+ */
+ void configure(ICLTensor *input, ICLTensor *indices, ICLTensor *output, const PoolingLayerInfo &pool_info);
+ /** Set the input and output tensors.
+ *
+ * @note Output shape must be equal to the shape of the original input to pool.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
+ * @param[in] indices Tensor containing the offset to store the input elements in the output tensor.
+ * @ref CLPoolingLayer with indices should precede this function in order to
+ * properly reconstruct the output tensor.
+ * The tensor shape of this tensor has to be equal to the input tensor shape. Data type supported: U32.
+ * @param[out] output Destination tensor. Data types supported: Same as @p input.
+ * @param[in] pool_info Contains pooling operation information described in @ref PoolingLayerInfo.
+ */
+ void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *indices, ICLTensor *output, const PoolingLayerInfo &pool_info);
+ /** Static function to check if given info will lead to a valid configuration of @ref CLMaxUnpoolingLayer
+ *
+ * @param[in] input Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
+ * @param[in] output Destination tensor info. Data types supported: Same as @p input.
+ * @param[in] indices TensorInfo associated to the tensor containing the offset to store the input elements in the output tensor.
+ * @ref CLPoolingLayer with indices should precede this function in order to
+ * properly reconstruct the output tensor.
+ * The tensor shape of this tensor has to be equal to the input tensor shape. Data type supported: U32.
+ * @param[in] pool_info Contains pooling operation information described in @ref PoolingLayerInfo.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *input, const ITensorInfo *indices, const ITensorInfo *output, const PoolingLayerInfo &pool_info);
+
+ // Inherited methods overridden:
+ void run() override;
+
+private:
+ CLMemsetKernel _memset_kernel;
+ CLMaxUnpoolingLayerKernel _unpooling_layer_kernel;
+};
+}
+#endif /* ARM_COMPUTE_CLMAXUNPOOLINGLAYER_H */