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Diffstat (limited to 'arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h | 100 |
1 files changed, 0 insertions, 100 deletions
diff --git a/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h b/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h deleted file mode 100644 index 4ae283d69d..0000000000 --- a/arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h +++ /dev/null @@ -1,100 +0,0 @@ -/* - * Copyright (c) 2017-2019 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_NEDIRECTCONVOLUTIONLAYERKERNEL_H -#define ARM_COMPUTE_NEDIRECTCONVOLUTIONLAYERKERNEL_H - -#include "arm_compute/core/NEON/INEKernel.h" - -namespace arm_compute -{ -class ITensor; - -/** NEON interface for Direct Convolution Layer kernel */ -class NEDirectConvolutionLayerKernel : public INEKernel -{ -public: - const char *name() const override - { - return "NEDirectConvolutionLayerKernel"; - } - /** Default constructor */ - NEDirectConvolutionLayerKernel(); - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEDirectConvolutionLayerKernel(const NEDirectConvolutionLayerKernel &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEDirectConvolutionLayerKernel &operator=(const NEDirectConvolutionLayerKernel &) = delete; - /** Allow instances of this class to be moved */ - NEDirectConvolutionLayerKernel(NEDirectConvolutionLayerKernel &&) = default; - /** Allow instances of this class to be moved */ - NEDirectConvolutionLayerKernel &operator=(NEDirectConvolutionLayerKernel &&) = default; - /** Default destructor */ - ~NEDirectConvolutionLayerKernel() = default; - /** Set the input, weights, and output 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] input 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] output 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(const ITensor *input, const ITensor *weights, ITensor *output, const PadStrideInfo &conv_info); - /** Static function to check if given info will lead to a valid configuration of @ref NEDirectConvolutionLayerKernel - * - * @param[in] input 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[in] output 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. - * - * @return a status - */ - static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *output, const PadStrideInfo &conv_info); - - // Inherited methods overridden: - void run(const Window &window, const ThreadInfo &info) override; - BorderSize border_size() const override; - -private: - const ITensor *_input; - const ITensor *_weights; - ITensor *_output; - PadStrideInfo _conv_info; - BorderSize _border_size; - unsigned int _kernel_size; - unsigned int _num_weight_elems_read_per_row; - unsigned int _num_elems_read_per_iteration; - unsigned int _num_elems_written_per_iteration; -}; -} // namespace arm_compute -#endif /*ARM_COMPUTE_NEDIRECTCONVOLUTIONLAYERKERNEL_H */ |