d00b7d17bd
* Fixing temp file creation/deletion for Clique kernel mode. * Refactoring of MP unit tests; include bugfixes and general support for any number of GPUs * GroupCall MP UT properly quits when too many devices specified * MP UT will programmatically set NCCL_COMM_ID if not specified; updated install script
62 linhas
2.0 KiB
C++
62 linhas
2.0 KiB
C++
/*************************************************************************
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* Copyright (c) 2019-2021 Advanced Micro Devices, Inc. All rights reserved.
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*
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* See LICENSE.txt for license information
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************************************************************************/
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#ifndef TEST_ALLTOALL_MULTI_PROCESS_HPP
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#define TEST_ALLTOALL_MULTI_PROCESS_HPP
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#include "CorrectnessTest.hpp"
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namespace CorrectnessTests
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{
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class AllToAllMultiProcessCorrectnessTest : public MultiProcessCorrectnessTest
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{
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public:
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static void ComputeExpectedResults(Dataset& dataset, std::vector<int> const& ranks)
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{
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for (int i = 0; i < ranks.size(); i++)
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{
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int rank = ranks[i];
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for (int j = 0; j < dataset.numDevices; j++)
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{
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HIP_CALL(hipMemcpy((int8_t *)dataset.expected[j]+dataset.NumBytes()*rank, (int8_t *)dataset.inputs[rank]+dataset.NumBytes()*j,
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dataset.NumBytes(), hipMemcpyDeviceToHost));
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}
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}
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}
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void TestAllToAll(int rank, Dataset& dataset, bool& pass)
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{
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SetUpPerProcess(rank, ncclCollAllToAll, comms[rank], streams[rank], dataset);
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if (numDevices > numDevicesAvailable)
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{
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pass = true;
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return;
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}
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// Prepare input / output / expected results
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FillDatasetWithPattern(dataset, rank);
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ComputeExpectedResults(dataset, std::vector<int>(1, rank));
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// Launch the reduction
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ncclAllToAll(dataset.inputs[rank],
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dataset.outputs[rank],
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numElements, dataType,
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comms[rank], streams[rank]);
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// Wait for reduction to complete
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HIP_CALL(hipStreamSynchronize(streams[rank]));
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// Check results
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pass = ValidateResults(dataset, rank);
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TearDownPerProcess(comms[rank], streams[rank]);
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dataset.Release(rank);
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}
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};
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}
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#endif
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