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diff --git a/arm_compute/runtime/CL/functions/CLWinogradInputTransform.h b/arm_compute/runtime/CL/functions/CLWinogradInputTransform.h
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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_CLWINOGRADINPUTTRANSFORM_H
-#define ARM_COMPUTE_CLWINOGRADINPUTTRANSFORM_H
-
-#include "arm_compute/core/Types.h"
-#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
-
-#include <cstdint>
-
-namespace arm_compute
-{
-class ICLTensor;
-
-/** Basic function to execute a @ref CLWinogradInputTransformKernel. */
-class CLWinogradInputTransform : public ICLSimpleFunction
-{
-public:
- /** Set the input and output tensors.
- *
- * @note Winograd input transform supports the following configurations for NCWH data layout
- * F(output tile, kernel size):F(2x2, 3x3), F(2x1, 3x1), F(1x2, 1x3),
- * F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3),
- * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
- *
- * @note Winograd input transform supports the following configurations for NHWC data layout
- * F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3),
- * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
- *
- * Strides: only unit strides
- *
- * @param[in] input The input tensor to transform. Data types supported: F16,F32
- * @param[in] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_input_transform_shape. Data types supported: Same as @p input
- * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo.
- */
- void configure(ICLTensor *input, ICLTensor *output, const WinogradInfo &winograd_info);
- /** Set the input and output tensors.
- *
- * @note Winograd input transform supports the following configurations for NCWH data layout
- * F(output tile, kernel size):F(2x2, 3x3), F(2x1, 3x1), F(1x2, 1x3),
- * F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3),
- * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
- *
- * @note Winograd input transform supports the following configurations for NHWC data layout
- * F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3),
- * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
- *
- * Strides: only unit strides
- *
- * @param[in] compile_context The compile context to be used.
- * @param[in] input The input tensor to transform. Data types supported: F16,F32
- * @param[in] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_input_transform_shape. Data types supported: Same as @p input
- * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo.
- */
- void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const WinogradInfo &winograd_info);
- /** Static function to check if given info will lead to a valid configuration of @ref CLWinogradInputTransform.
- *
- * @note Winograd input transform supports the following configurations for NCWH data layout
- * F(output tile, kernel size):F(2x2, 3x3), F(2x1, 3x1), F(1x2, 1x3),
- * F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3),
- * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
- *
- * @note Winograd input transform supports the following configurations for NHWC data layout
- * F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3),
- * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
- *
- * Strides: only unit strides
- *
- * @param[in] input The input tensor to transform. Data types supported: F16,F32
- * @param[in] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_input_transform_shape. Data types supported: Same as @p input
- * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input, const ITensorInfo *output, const WinogradInfo &winograd_info);
-};
-}
-#endif /*ARM_COMPUTE_CLWINOGRADINPUTTRANSFORM_H */