/* * Copyright (c) 2019-2023 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 ARM_COMPUTE_CPU_DEPTHWISE_CONV2D_NATIVE_KERNEL_H #define ARM_COMPUTE_CPU_DEPTHWISE_CONV2D_NATIVE_KERNEL_H #include "arm_compute/core/utils/misc/Traits.h" #include "arm_compute/function_info/ConvolutionInfo.h" #include "src/core/common/Macros.h" #include "src/cpu/ICpuKernel.h" #include "support/AclRequires.h" #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC #include #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC namespace arm_compute { namespace cpu { namespace kernels { /** Interface for the kernel to run a depthwise convolution native on a tensor. */ class CpuDepthwiseConv2dNativeKernel : public ICpuKernel { private: using DepthwiseConv2dNativeKernelPtr = std::add_pointer:: type; public: CpuDepthwiseConv2dNativeKernel() = default; ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuDepthwiseConv2dNativeKernel); /** Initialize the function's source, destination and parameters. * * @note Supported data layouts: NHWC * * @param[in] src Source tensor. DataType supported: QASYMM8/QASYMM8_SIGNED/F16/F32. * @param[in] weights Weights tensor. This is a 3D tensor with dimensions [IFM, W, H]. * Data type supported: Same as @p src or QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p src is QASYMM8/QASYMM8_SIGNED. * @param[in] biases Biases tensor. A 1D tensor with dimensions [IFM]. Must be nullptr if not needed. * Data type supported: Same as @p src, S32 when src is QASYMM8/QASYMM8_SIGNED. * @param[out] dst Destination tensor. Data type supported: Same as @p src. * @param[in] info Depthwise convolution meta-data. * */ void configure(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *dst, const ConvolutionInfo &info); /** Static function to check if given info will lead to a valid configuration * * Similar to CpuDepthwiseConv2dNativeKernel::configure() * * @return a status */ static Status validate(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *dst, const ConvolutionInfo &info); // Inherited methods overridden: void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; const char *name() const override; struct DepthwiseConv2dNativeKernel { const char *name; const DepthwiseConv2dNativeDataTypeISASelectorPtr is_selected; DepthwiseConv2dNativeKernelPtr ukernel; }; static const std::vector &get_available_kernels(); private: /** Common signature for all the specialised depthwise convolution native functions * * @param[in] window Region on which to execute the kernel. */ DepthwiseConv2dNativeKernelPtr _func{nullptr}; ConvolutionInfo _conv_info{}; bool _has_biases{false}; }; } // namespace kernels } // namespace cpu } // namespace arm_compute #endif /* ARM_COMPUTE_CPU_DEPTHWISE_CONV2D_NATIVE_KERNEL_H */