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-/*
- * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-/*
- * Copyright (c) 2016-2018 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_CLSPACE_TO_BATCH_ND_H__
-#define __ARM_COMPUTE_CLSPACE_TO_BATCH_ND_H__
-
-#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
-
-namespace arm_compute
-{
-class ICLTensor;
-
-/** Basic function to run @ref CLSpaceToBatchNDKernel
- *
- * @note The tensor data type for the inputs must be U8/QASYMM8/S16/F16/S32/F32.
- * @note The function divides "spatial" dimensions of the input into a grid of blocks of shape
- * block_shape, and interleaves these blocks with the "batch" dimension such that in the output.
- */
-class CLSpaceToBatchND : public ICLSimpleFunction
-{
-public:
- /** Initialise the kernel's input and output.
- *
- * @note The data layout of input and output must be the same.
- * @note The number of dimensions of input and output must be 4, and `spatial` dimensions
- * are height and width.
- * @param[in] input Input tensor. Data types supported: U8/QASYMM8/S16/F16/S32/F32.
- * Data layout supported: NCHW/NHWC
- * @param[in] block_size Tensor of integer values specifying block sizes for spatial
- * dimension.
- * Data types supported: S32
- * @param[in] padding_size Tensor of integer values specifying padding sizes for spatial
- * dimension.
- * Data types supported: S32
- * @param[out] output Output tensor. Data types supported: same as @p input.
- * Data layout supported: NCHW/NHWC
- */
- void configure(const ICLTensor *input, const ICLTensor *block_size, const ICLTensor *padding_size,
- ICLTensor *output);
-};
-
-} // namespace arm_compute
-#endif /* __ARM_COMPUTE_CLSPACE_TO_BATCH_ND_H__ */