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diff --git a/src/core/gpu/cl/kernels/ClWinogradInputTransformKernel.h b/src/core/gpu/cl/kernels/ClWinogradInputTransformKernel.h
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-/*
- * Copyright (c) 2018-2021 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_CL_WINOGRAD_INPUT_TRANSFORM_KERNEL_H
-#define ARM_COMPUTE_CL_WINOGRAD_INPUT_TRANSFORM_KERNEL_H
-
-#include "arm_compute/core/KernelDescriptors.h"
-#include "src/core/common/Macros.h"
-#include "src/core/gpu/cl/ClCompileContext.h"
-#include "src/core/gpu/cl/IClKernel.h"
-
-namespace arm_compute
-{
-namespace opencl
-{
-namespace kernels
-{
-/** OpenCL kernel to perform Winograd input transform.*/
-class ClWinogradInputTransformKernel : public IClKernel
-{
-public:
- /** Default constructor */
- ClWinogradInputTransformKernel();
- ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClWinogradInputTransformKernel);
- /** Set the input and output of the kernel.
- *
- * @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] src The input tensor info to transform. Data types supported: F16/F32
- * @param[in] dst The output tensor info. 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, ITensorInfo *src, ITensorInfo *dst, const WinogradInfo &winograd_info);
- /** Static function to check if given info will lead to a valid configuration
- *
- * Similar to ClWinogradInputTransformKernel::configure()
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const WinogradInfo &winograd_info);
-
- // Inherited methods overridden:
- void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override;
- BorderSize border_size() const override;
-
-private:
- using WinogradKey = std::pair<std::pair<int, int>, std::pair<int, int>>;
-
- BorderSize _border_size;
- DataLayout _data_layout;
- int _num_tiles_x;
- int _num_tiles_y;
- unsigned int _step_z;
-};
-} // namespace kernels
-} // namespace opencl
-} // namespace arm_compute
-#endif /*ARM_COMPUTE_CL_WINOGRAD_INPUT_TRANSFORM_KERNEL_H */