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Diffstat (limited to 'src/cpu/operators/CpuWinogradConv2d.h')
| -rw-r--r-- | src/cpu/operators/CpuWinogradConv2d.h | 142 |
1 files changed, 142 insertions, 0 deletions
diff --git a/src/cpu/operators/CpuWinogradConv2d.h b/src/cpu/operators/CpuWinogradConv2d.h new file mode 100644 index 0000000000..03bfc51a46 --- /dev/null +++ b/src/cpu/operators/CpuWinogradConv2d.h @@ -0,0 +1,142 @@ +/* + * Copyright (c) 2021-2023 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 ACL_SRC_CPU_OPERATORS_CPUWINOGRADCONV2D_H +#define ACL_SRC_CPU_OPERATORS_CPUWINOGRADCONV2D_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/assembly/gemm_common.hpp" +#include "src/cpu/kernels/CpuWinogradConv2dKernel.h" +#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. + * For supported kernel sizes, see @ref arm_compute::NEWinogradConvolutionLayer + * @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 + { + /** Slot 0 - 6 reserved for CpuGemm */ + TransformedInput = 7, + TransformedOutput, + WorkspaceIO, + TransformedWeights, + PermutedWeights, + Count, + PermutedInput = TransformedOutput, + PermutedOutput = TransformedInput + }; + 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 // ACL_SRC_CPU_OPERATORS_CPUWINOGRADCONV2D_H |