| /* |
| * 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_NEDIRECTCONVOLUTIONLAYER_H |
| #define ARM_COMPUTE_NEDIRECTCONVOLUTIONLAYER_H |
| |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/IFunction.h" |
| #include "arm_compute/runtime/IMemoryManager.h" |
| #include "arm_compute/runtime/MemoryGroup.h" |
| |
| #include <memory> |
| |
| namespace arm_compute |
| { |
| class ITensor; |
| class ITensorInfo; |
| /** Function to run the direct convolution. |
| * |
| * This function calls the following: |
| * |
| * -# @ref cpu::CpuDirectConvolution |
| */ |
| class NEDirectConvolutionLayer : public IFunction |
| { |
| public: |
| /** Constructor */ |
| NEDirectConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEDirectConvolutionLayer(const NEDirectConvolutionLayer &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEDirectConvolutionLayer &operator=(const NEDirectConvolutionLayer &) = delete; |
| /** Prevent instances of this class from being moved (As this class contains non movable objects) */ |
| NEDirectConvolutionLayer(NEDirectConvolutionLayer &&) = delete; |
| /** Prevent instances of this class from being moved (As this class contains non movable objects) */ |
| NEDirectConvolutionLayer &operator=(NEDirectConvolutionLayer &&) = delete; |
| /** Default destructor */ |
| ~NEDirectConvolutionLayer(); |
| /** Set the input, weights, biases and output tensors. |
| * |
| * Valid data layouts: |
| * - NHWC |
| * - NCHW |
| * |
| * Valid data type configurations: |
| * |src0 |src1 |src2 |dst | |
| * |:------|:------|:------|:------| |
| * |F16 |F16 |F16 |F16 | |
| * |F32 |F32 |F32 |F32 | |
| * |
| * @note: DirectConvolution only works in the following configurations: |
| * 1x1 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F16/F32 |
| * 3x3 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F16/F32 |
| * 5x5 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F32 |
| * |
| * @param[in, out] input Input tensor. Data types supported: F16/F32. |
| * @param[in] weights Set of kernels to convolve the input volume. |
| * Supported sizes: 1x1, 3x3 and 5x5. |
| * The 3rd dimension must be the same as the input's volume 3rd dimension. |
| * Data type supported: Same as @p input. |
| * @param[in] bias Set of biases. Can be nullptr. 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: Same as @p input. |
| * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. |
| * @param[in] act_info (Optional) Activation layer information in case of a fused activation. |
| */ |
| void configure(ITensor *input, const ITensor *weights, const ITensor *bias, ITensor *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info = ActivationLayerInfo()); |
| /** Static function to check if given info will lead to a valid configuration of @ref NEDirectConvolutionLayer |
| * |
| * @note: DirectConvolution only works in the following configurations: |
| * 1x1 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F16/F32 |
| * 3x3 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F16/F32 |
| * 5x5 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F32 |
| * |
| * @param[in] input Input tensor. Data types supported: F16/F32. |
| * @param[in] weights Set of kernels to convolve the input volume. |
| * Supported sizes: 1x1, 3x3 and 5x5. |
| * The 3rd dimension must be the same as the input's volume 3rd dimension. |
| * Data type supported: Same as @p input. |
| * @param[in] bias Set of biases. Can be nullptr. 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: Same as @p input. |
| * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. |
| * @param[in] act_info (Optional) Activation layer information in case of a fused activation. |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, const ITensorInfo *output, const PadStrideInfo &conv_info, |
| const ActivationLayerInfo &act_info = ActivationLayerInfo()); |
| |
| // Inherited methods overridden: |
| void run() override; |
| |
| private: |
| struct Impl; |
| std::shared_ptr<IMemoryManager> _memory_manager; |
| std::unique_ptr<Impl> _impl; |
| }; |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_NEDIRECTCONVOLUTIONLAYER_H */ |