/************************************************************************* * Copyright (c) 2019-2021 Advanced Micro Devices, Inc. All rights reserved. * * See LICENSE.txt for license information ************************************************************************/ #ifndef TEST_SCATTER_MULTI_PROCESS_HPP #define TEST_SCATTER_MULTI_PROCESS_HPP #include "CorrectnessTest.hpp" namespace CorrectnessTests { class ScatterMultiProcessCorrectnessTest : public MultiProcessCorrectnessTest { public: static void ComputeExpectedResults(Dataset& dataset, int const root, int const rank) { if (rank == root) { for (int i = 0; i < dataset.numDevices; i++) HIP_CALL(hipMemcpy(dataset.expected[i], (int8_t *)dataset.inputs[root]+dataset.NumBytes()*i, dataset.NumBytes(), hipMemcpyDeviceToHost)); } } void TestScatter(int rank, Dataset& dataset, bool& pass) { // Prepare input / output / expected results SetUpPerProcess(rank, ncclCollScatter, comms[rank], streams[rank], dataset); if (numDevices > numDevicesAvailable) { pass = true; return; } Barrier barrier(rank, numDevices, std::atoi(getenv("NCCL_COMM_ID"))); // Test each possible root for (int root = 0; root < numDevices; root++) { // Prepare input / output / expected results FillDatasetWithPattern(dataset, rank); ComputeExpectedResults(dataset, root, rank); // Launch the reduction (1 process per GPU) ncclScatter(dataset.inputs[rank], dataset.outputs[rank], numElements, dataType, root, comms[rank], streams[rank]); // Wait for reduction to complete HIP_CALL(hipStreamSynchronize(streams[rank])); // Check results pass = ValidateResults(dataset, rank); barrier.Wait(); } TearDownPerProcess(comms[rank], streams[rank]); dataset.Release(rank); } }; } #endif