/** * Copyright 2020 Huawei Technologies Co., Ltd * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #include "kernel/cpu/allgather_cpu_kernel.h" #include "device/cpu/cpu_device_address.h" #include "device/cpu/mpi/mpi_adapter.h" #include "utils/log_adapter.h" namespace mindspore { namespace kernel { namespace { constexpr auto kRanksGroup = "group"; constexpr auto kAllGatherInputNum = 1; } // namespace void AllGatherCPUKernel::InitKernel(const CNodePtr &kernel_node) { size_t input_num = AnfAlgo::GetInputTensorNum(kernel_node); if (input_num != kAllGatherInputNum) { MS_LOG(EXCEPTION) << "allgather input num:" << input_num; } auto ranks_group = AnfAlgo::GetCNodePrimitive(kernel_node)->GetAttr(kRanksGroup); if (ranks_group != nullptr) { ranks_group_ = GetValue>(ranks_group); } else { MS_LOG(EXCEPTION) << "Miss attribute " << kRanksGroup; } } bool AllGatherCPUKernel::Launch(const std::vector &inputs, const std::vector & /*workspace*/, const std::vector &outputs) { auto input_addr = reinterpret_cast(inputs[0]->addr); auto output_addr = reinterpret_cast(outputs[0]->addr); auto input_data_num = inputs[0]->size / sizeof(float); auto mpi_instance = device::cpu::MPIAdapter::Instance(); MS_EXCEPTION_IF_NULL(mpi_instance); return mpi_instance->AllGather(input_addr, output_addr, ranks_group_, input_data_num); } } // namespace kernel } // namespace mindspore