/* * Copyright (c) 2016-2022 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. */ #include "src/cpu/kernels/CpuGemmMatrixAdditionKernel.h" #include "arm_compute/core/Helpers.h" #include "arm_compute/core/Types.h" #include "arm_compute/core/Validate.h" #include "src/core/common/Registrars.h" #include "src/core/CPP/Validate.h" #include "src/core/helpers/AutoConfiguration.h" #include "src/core/helpers/WindowHelpers.h" #include "src/core/NEON/NEFixedPoint.h" #include "src/cpu/kernels/gemm_matrix_add/list.h" namespace arm_compute { namespace cpu { namespace kernels { namespace { static const std::vector available_kernels = { {"neon_fp32_gemm_matrix_add", [](const DataTypeISASelectorData &data) { return (data.dt == DataType::F32); }, REGISTER_FP32_NEON(neon_fp32_gemm_matrix_add)}, {"neon_fp16_gemm_matrix_add", [](const DataTypeISASelectorData &data) { return (data.dt == DataType::F16) && data.isa.fp16; }, REGISTER_FP16_NEON(neon_fp16_gemm_matrix_add)}, }; } // namespace void CpuGemmMatrixAdditionKernel::configure(const ITensorInfo *src, ITensorInfo *dst, float beta) { ARM_COMPUTE_UNUSED(dst); ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); // Perform validation step ARM_COMPUTE_ERROR_THROW_ON(CpuGemmMatrixAdditionKernel::validate(src, dst, beta)); _beta = beta; const auto uk = CpuGemmMatrixAdditionKernel::get_implementation( DataTypeISASelectorData{src->data_type(), CPUInfo::get().get_isa()}); ARM_COMPUTE_ERROR_ON_NULLPTR(uk); _func = uk->ukernel; // Configure kernel window Window win = calculate_max_window(*src, Steps()); ICPPKernel::configure(win); } Status CpuGemmMatrixAdditionKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, float beta) { ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); ARM_COMPUTE_UNUSED(beta); ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(src); ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::F16, DataType::F32); if (dst->total_size() > 0) { ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst); } return Status{}; } void CpuGemmMatrixAdditionKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) { ARM_COMPUTE_UNUSED(info); ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); ARM_COMPUTE_ERROR_ON(tensors.empty()); const ITensor *src = tensors.get_const_tensor(TensorType::ACL_SRC); ITensor *dst = tensors.get_tensor(TensorType::ACL_DST); if (_beta != 0.0f) { (*_func)(src, dst, window, _beta); } } const char *CpuGemmMatrixAdditionKernel::name() const { return "CpuGemmMatrixAdditionKernel"; } const std::vector & CpuGemmMatrixAdditionKernel::get_available_kernels() { return available_kernels; } } // namespace kernels } // namespace cpu } // namespace arm_compute