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-/*
- * Copyright (c) 2017-2021 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_CPU_DIRECTCONV2D_KERNEL_H
-#define ARM_COMPUTE_CPU_DIRECTCONV2D_KERNEL_H
-
-#include "src/core/common/Macros.h"
-#include "src/core/cpu/ICpuKernel.h"
-
-namespace arm_compute
-{
-class ITensor;
-namespace cpu
-{
-namespace kernels
-{
-/** Interface for the kernel to perform Direct Convolution Layer. */
-class CpuDirectConv2dKernel : public ICpuKernel
-{
-public:
- /** Default constructor */
- CpuDirectConv2dKernel() = default;
- ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuDirectConv2dKernel);
- /** Set the src, weights, and dst tensors.
- *
- * @note: DirectConvolution only works in the following configurations:
- * 1x1 convolution with stride_x = 1/2/3, stride_y = 1/2/3
- * 3x3 convolution with stride_x = 1/2/3, stride_y = 1/2/3
- *
- * @param[in] src The input tensor to convolve. 3 lower dimensions represent a single input [width, height, IFM],
- * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: F16/F32.
- * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
- * The 3rd dimension must be the same as the input's volume 3rd dimension.
- * Data type supported:Same as @p input.
- * @param[out] dst Output tensor.
- * The 3rd dimensions must be equal to the 4th dimension of the @p kernels tensor. Data types supported: F16/F32
- * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
- */
- void configure(ITensorInfo *src, ITensorInfo *weights, ITensorInfo *dst, const PadStrideInfo &conv_info);
- /** Static function to check if given info will lead to a valid configuration
- *
- * Similar to CpuDirectConv2dKernel::configure()
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *dst, const PadStrideInfo &conv_info);
-
- // Inherited methods overridden:
- void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
- const char *name() const override;
- BorderSize border_size() const override;
-
-private:
- /* Template function for optimized convolution NHWC */
- template <typename T>
- void convolve_nhwc_optimized(const Window &window, const ITensor *src, const ITensor *weights, ITensor *dst);
-
- /* Template function for convolution NHWC */
- template <typename T>
- void convolve_nhwc(const Window &window, const ITensor *src, const ITensor *weights, ITensor *dst);
-
- PadStrideInfo _conv_info{};
- BorderSize _border_size{};
- unsigned int _kernel_size{ 0 };
- unsigned int _num_weight_elems_read_per_row{ 0 };
- unsigned int _num_elems_read_per_iteration{ 0 };
- unsigned int _num_elems_written_per_iteration{ 0 };
- DataLayout _data_layout{ DataLayout::UNKNOWN };
-};
-} // namespace kernels
-} // namespace cpu
-} // namespace arm_compute
-#endif /*ARM_COMPUTE_CPU_DIRECTCONV2D_KERNEL_H */