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/*
* Copyright (c) 2022-2023 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_DIRECT_CONV2D_KERNEL_H
#define ARM_COMPUTE_CL_DIRECT_CONV2D_KERNEL_H
#include "arm_compute/function_info/ActivationLayerInfo.h"
#include "src/core/common/Macros.h"
#include "src/gpu/cl/ClCompileContext.h"
#include "src/gpu/cl/IClKernel.h"
namespace arm_compute
{
// Forward declaration
struct DirectConvComputeKernelInfo;
namespace opencl
{
namespace kernels
{
/** Interface for the indirect convolution kernel. */
class ClIndirectConv2dKernel : public IClKernel
{
public:
ClIndirectConv2dKernel();
ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClIndirectConv2dKernel);
/** Set the src, offset, weights, biases and dst tensors info.
*
* @param[in] compile_context The compile context to be used.
* @param[in] src The src tensor info to convolve. 3 lower dimensions represent a single src [IFM, width, height],
* while every optional dimension from 4 and above represent a batch of inputs. Data types supported: F16/F32.
* @param[in] off The indirect buffer tensor info. Data types supported: S32.
* @param[in] weights Weights tensor info. Weights are 4D tensor with dimensions [IFM, kernel_x, kernel_y, OFM].
* Data type supported: Same as @p src.
* @param[in] biases Biases tensor info. Biases are 1D tensor with dimension [OFM].
* Data type supported: Same as @p src.
* @param[out] dst Output tensor info.
* The 3rd dimension must be equal to the 4th dimension of the @p weights tensor. Data types supported: Same as @p src.
* @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
* @param[in] act_info Contains activaton information described in @ref ActivationLayerInfo.
* @param[in] desc Direct convolution descriptor used to build the NHWC indirect convolution kernel.
*/
void configure(const CLCompileContext &compile_context,
ITensorInfo *src,
ITensorInfo *off,
ITensorInfo *weights,
ITensorInfo *biases,
ITensorInfo *dst,
const PadStrideInfo &conv_info,
const ActivationLayerInfo &act_info,
const DirectConvComputeKernelInfo &desc);
/** Static function to check if given info will lead to a valid configuration
*
* Similar to ClIndirectConv2dKernel::configure()
*
* @return a status
*/
static Status validate(const ITensorInfo *src,
const ITensorInfo *off,
const ITensorInfo *weights,
const ITensorInfo *biases,
const ITensorInfo *dst,
const PadStrideInfo &conv_info,
const ActivationLayerInfo &act_info,
const DirectConvComputeKernelInfo &desc);
// Inherited methods overridden:
void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override;
public:
bool _export_to_cl_image{false};
};
} // namespace kernels
} // namespace opencl
} // namespace arm_compute
#endif /* ARM_COMPUTE_CL_DIRECT_CONV2D_KERNEL_H */
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