| /* |
| * Copyright (c) 2020-2021 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_NEGEMMCONV2D_H |
| #define ARM_COMPUTE_NEGEMMCONV2D_H |
| |
| #include "arm_compute/runtime/FunctionDescriptors.h" |
| #include "arm_compute/runtime/IFunction.h" |
| #include "arm_compute/runtime/IMemoryManager.h" |
| #include "arm_compute/runtime/NEON/functions/NEActivationLayer.h" |
| #include "arm_compute/runtime/NEON/functions/NEPermute.h" |
| #include "arm_compute/runtime/Tensor.h" |
| |
| #include <memory> |
| namespace arm_compute |
| { |
| // Forward declarations |
| class ITensor; |
| class NEGEMMAssemblyDispatch; |
| |
| /** Basic function to compute the convolution layer. This function calls the following Neon kernels/functions: |
| * |
| * Supports only NHWC data layout |
| * |
| * -# @ref NEGEMMAssemblyDispatch |
| * -# @ref NEActivationLayer, in case activation cannot be fused in the assembly dispatch |
| * |
| * Weights are transformed from OHWI to HWIO format using the following kernels: |
| * -# @ref NEPermute |
| */ |
| class NEGEMMConv2d : public IFunction |
| { |
| public: |
| /** Constructor */ |
| NEGEMMConv2d(const std::shared_ptr<IMemoryManager> &memory_manager = nullptr); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEGEMMConv2d(const NEGEMMConv2d &) = delete; |
| /** Default move constructor */ |
| NEGEMMConv2d(NEGEMMConv2d &&) = default; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEGEMMConv2d &operator=(const NEGEMMConv2d &) = delete; |
| /** Default move assignment operator */ |
| NEGEMMConv2d &operator=(NEGEMMConv2d &&) = default; |
| /** Destructor */ |
| ~NEGEMMConv2d(); |
| /** Set the input and output tensors. |
| * |
| * @param[in] input Source tensor. 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: QASYMM8/QASYMM8_SIGNED/BFLOAT16/F16/F32. |
| * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. |
| * Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/BFLOAT16/F16/F32. |
| * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. |
| * Data type supported: Should match @p input data type, except for input of QASYMM8/QASYMM8_SIGNED type where biases should be of S32 type. |
| * @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. |
| * Data types supported: Same as @p input. |
| * @param[in] info Convolution layer descriptor |
| */ |
| void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const Conv2dInfo &info); |
| /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMConv2d |
| * |
| * @param[in] input Source tensor info. 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: QASYMM8/QASYMM8_SIGNED/BFLOAT16/F16/F32. |
| * @param[in] weights Weights tensor info. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. |
| * Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/BFLOAT16/F16/F32. |
| * @param[in] biases Biases tensor info. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. |
| * Data type supported: Should match @p input data type, except for input of QASYMM8/QASYMM8_SIGNED type where biases should be of S32 type. |
| * @param[in] output Destination tensor info. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. |
| * Data types supported: Same as @p input. |
| * @param[in] info Contains padding and stride information described in @ref PadStrideInfo. |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const Conv2dInfo &info); |
| |
| // Inherited methods overridden: |
| void run() override; |
| void prepare() override; |
| |
| private: |
| std::unique_ptr<NEGEMMAssemblyDispatch> _gemm_asm_func; |
| NEActivationLayer _activation_func; |
| NEPermute _weights_permute_func; |
| const ITensor *_original_weights; |
| Tensor _permuted_weights; |
| bool _is_prepared; |
| bool _run_activation; |
| }; |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_NEGEMMCONV2D_H */ |