/* * 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_CL_DIRECT_CONV3D_H #define ARM_COMPUTE_CL_DIRECT_CONV3D_H #include "src/gpu/cl/IClKernel.h" #include "src/gpu/cl/IClOperator.h" #include namespace arm_compute { class CLCompileContext; struct Conv3dInfo; class IClKernel; namespace opencl { /** Basic function to simulate a directly convolution layer with 3 spatial dimensions. This function calls the following OpenCL kernels: * * -# @ref opencl::ClDirectConv3d */ class ClDirectConv3d : public IClOperator { public: ClDirectConv3d() = default; /** Set the src and dst tensors. * * Valid data layouts: * - NDHWC * * Valid data type configurations: * |src0 |src1 |src2 |dst | * |:--------------|:--------------|:------|:--------------| * |F16 |F16 |F16 |F16 | * |F32 |F32 |F32 |F32 | * |QASYMM8 |QASYMM8 |S32 |QASYMM8 | * |QASYMM8_SIGNED |QASYMM8_SIGNED |S32 |QASYMM8_SIGNED | * * @param[in] compile_context The compile context to be used. * @param[in] src0 Source tensor. 4 lower dimensions represent a single src [IFM, width, height, depth], * while every optional dimension from 5 and above represent a batch of srcs. * @param[in] src1 Weights tensor. Weights are 5D tensor with dimensions [OFM, IFM, kernel_w, kernel_h, kernel_d]. * @param[in] src2 Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. * @param[out] dst Destination tensor. 4 lower dimensions represent a single dst [OFM, width, height, depth], while the rest represent batch of dsts. * @param[in] conv3d_info Contains strides, padding, rounding, activation, dilation and fast math information. Activation and fast math are currently unused. * */ void configure(const CLCompileContext &compile_context, const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *src2, ITensorInfo *dst, const Conv3dInfo &conv3d_info); /** Static function to check if given info will lead to a valid configuration * * Similar to ClDirectConv3d::configure() * * @return a status */ static Status validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const Conv3dInfo &conv3d_info); // Inherited method overridden void run(ITensorPack &tensors) override; private: std::unique_ptr _direct_conv3d_kernel{nullptr}; }; } // namespace opencl } // namespace arm_compute #endif /* ARM_COMPUTE_CL_DIRECT_CONV3D_H */