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/*
* Copyright (c) 2018-2022 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_OUTPUT_TRANSFORM_KERNEL_H
#define ARM_COMPUTE_CL_WINOGRAD_OUTPUT_TRANSFORM_KERNEL_H
#include "arm_compute/core/KernelDescriptors.h"
#include "src/core/common/Macros.h"
#include "src/gpu/cl/ClCompileContext.h"
#include "src/gpu/cl/IClKernel.h"
namespace arm_compute
{
namespace opencl
{
namespace kernels
{
/** Interface for the Winograd output transform kernel. */
class ClWinogradOutputTransformKernel : public IClKernel
{
public:
ClWinogradOutputTransformKernel();
ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClWinogradOutputTransformKernel);
/** Set the input and output tensor.
*
* @note Winograd output 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 output 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 Source tensor info with shape [C, N, K, batches]. Data types supported: F16/F32.
* @param[in] bias Biases tensor info. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p src
* @param[out] dst The output tensor info. The shape for this tensor can be calculated using the utility function @p compute_winograd_output_transform_shape. Data types supported: Same as @p src
* @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(const ClCompileContext &compile_context,
ITensorInfo *src,
ITensorInfo *bias,
ITensorInfo *dst,
const WinogradInfo &winograd_info,
const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration
*
* Similar to ClWinogradOutputTransformKernel::configure()
*
* @return a status
*/
static Status validate(const ITensorInfo *src,
const ITensorInfo *bias,
const ITensorInfo *dst,
const WinogradInfo &winograd_info,
const ActivationLayerInfo &act_info = ActivationLayerInfo());
// Inherited methods overridden:
void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override;
private:
using WinogradKey = std::pair<std::pair<int, int>, std::pair<int, int>>;
bool _is_nhwc{false};
int32_t _src_height{0};
int32_t _dst_width{0};
int32_t _dst_height{0};
int32_t _num_tiles_x{0};
};
} // namespace kernels
} // namespace opencl
} // namespace arm_compute
#endif /* ARM_COMPUTE_CL_WINOGRAD_OUTPUT_TRANSFORM_KERNEL_H */
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