| /* |
| * Copyright (c) 2021-2022 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_WINOGRAD_CONV2D_KERNEL_H |
| #define ARM_COMPUTE_CPU_WINOGRAD_CONV2D_KERNEL_H |
| |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/runtime/FunctionDescriptors.h" |
| #include "src/core/common/Macros.h" |
| #include "src/cpu/ICpuOperator.h" |
| #include "src/cpu/kernels/CpuWinogradConv2dKernel.h" |
| #include "src/cpu/kernels/assembly/gemm_common.hpp" |
| #include "src/cpu/operators/CpuActivation.h" |
| #include "src/cpu/operators/CpuGemm.h" |
| #include "src/cpu/operators/CpuPermute.h" |
| #include "src/cpu/operators/internal/CpuGemmAssemblyDispatch.h" |
| |
| namespace arm_compute |
| { |
| namespace cpu |
| { |
| class CpuWinogradConv2d : public ICpuOperator |
| { |
| public: |
| /** Constructor */ |
| CpuWinogradConv2d(); |
| ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuWinogradConv2d); |
| /** Destructor */ |
| ~CpuWinogradConv2d(); |
| |
| /** Set the input and output tensors. |
| * |
| * Valid data layouts: |
| * - NHWC |
| * - NCHW |
| * |
| * Valid data type configurations: |
| * |src0 |src1 |src2 |dst | |
| * |:--------------|:--------------|:------|:--------------| |
| * |F16 |F16 |F16 |F16 | |
| * |F32 |F32 |F32 |F32 | |
| * |
| * @param[in] src 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: F16/F32. |
| * @param[in] weights Weights tensor Info. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: Same as @p input. |
| * Currently only 3x3 and 5x5 kernels are supported. |
| * @param[in] biases Biases tensor Info. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights. |
| * @param[out] dst 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] conv_info Contains padding and stride information described in @ref PadStrideInfo. Currently only unit strides are supported. |
| * @param[in] act_info (Optional) Activation layer information in case of a fused activation. |
| * @param[in] enable_fast_math (Optional) Enable fast math computation. In case this flag were set, the function could dispatch the fastest implementation |
| * available which may introduce a drop of accuracy as well. Default is false |
| */ |
| void configure(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *dst, const PadStrideInfo &conv_info, |
| const ActivationLayerInfo &act_info = ActivationLayerInfo(), |
| bool enable_fast_math = false); |
| /** Static function to check if given info will lead to a valid configuration of @ref CpuWinogradConv2d |
| * |
| * Similar to CpuWinogradConv2d::configure() |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *dst, const PadStrideInfo &conv_info, |
| const ActivationLayerInfo &act_info = ActivationLayerInfo(), |
| bool enable_fast_math = false); |
| |
| // Inherited methods overridden: |
| void run(ITensorPack &tensors) override; |
| void prepare(ITensorPack &constants) override; |
| experimental::MemoryRequirements workspace() const override; |
| |
| private: |
| enum AuxTensorIdx |
| { |
| GemmWorkspace = 0, |
| Pretranspose = 1, |
| InterleavedLHS = 2, |
| TransposedRHS = 3, |
| TempResult = 4, |
| TransformedInput = 5, |
| TransformedOutput = 6, |
| WorkspaceIO = 7, |
| TransformedWeights = 8, |
| PermutedWeights = 9, |
| PermutedInput = TransformedOutput, |
| PermutedOutput = TransformedInput, |
| Count = 10 |
| }; |
| std::unique_ptr<CpuGemm> _gemm_function; |
| std::unique_ptr<CpuActivation> _activation_func; |
| std::unique_ptr<ICPPKernel> _transform_input_kernel; |
| std::unique_ptr<ICPPKernel> _transform_output_kernel; |
| std::unique_ptr<CpuPermute> _permute_input; |
| std::unique_ptr<CpuPermute> _permute_output; |
| std::unique_ptr<CpuPermute> _permute_weights; |
| experimental::MemoryRequirements _aux_mem{ Count }; |
| std::unique_ptr<arm_conv::ConvolutionArgs> _conv_args; // Make it unique ptr because this type does not have a default constructor |
| arm_conv::winograd::WinogradImpl _winograd_impl; |
| DataLayout _data_layout; |
| TensorInfo _winograd_transformed_input; |
| TensorInfo _winograd_transformed_output; |
| TensorInfo _winograd_transformed_weights; |
| TensorInfo _input_workspace; |
| TensorInfo _output_workspace; |
| TensorInfo _weights_hwio; |
| TensorInfo _input_nhwc; |
| TensorInfo _output_nhwc; |
| bool _is_prepared; |
| bool _run_activation; |
| }; |
| } // namespace cpu |
| } // namespace arm_compute |
| |
| #endif /* ARM_COMPUTE_CPU_WINOGRAD_CONV2D_KERNEL_H */ |