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-/*
- * Copyright (c) 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_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/core/cpu/kernels/CpuWinogradConv2dKernel.h"
-#include "src/runtime/cpu/ICpuOperator.h"
-#include "src/runtime/cpu/operators/CpuActivation.h"
-#include "src/runtime/cpu/operators/CpuGemm.h"
-#include "src/runtime/cpu/operators/CpuPermute.h"
-#include "src/runtime/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<CpuPermute> _permute_input;
- std::unique_ptr<CpuPermute> _permute_output;
- std::unique_ptr<CpuPermute> _permute_weights;
- std::unique_ptr<ICPPKernel> _transform_input_kernel;
- std::unique_ptr<ICPPKernel> _transform_weights_kernel;
- std::unique_ptr<ICPPKernel> _transform_output_kernel;
-
- DataLayout _data_layout;
- experimental::MemoryRequirements _aux_mem{ Count };
- TensorInfo _input_nhwc;
- TensorInfo _output_nhwc;
- TensorInfo _input_workspace;
- TensorInfo _kernel_storage;
- TensorInfo _output_workspace;
- TensorInfo _input_transformed;
- TensorInfo _output_transformed;
- TensorInfo _weights_hwio;
- bool _run_activation;
- bool _is_prepared;
-};
-} // namespace cpu
-} // namespace arm_compute
-
-#endif /* ARM_COMPUTE_CPU_WINOGRAD_CONV2D_KERNEL_H */