Files
rocm-systems/test/test_BroadcastMultiProcess.hpp
T
Stanley Tsang d3fa257682 Adding multiprocess unit tests (#312)
Adding multiprocess unit tests for collectives.  

To run, NCCL_COMM_ID=$HOSTNAME:12345 build/release/test/UnitTestsMultiProcess
2021-01-15 16:34:36 -07:00

69 lines
2.4 KiB
C++

/*************************************************************************
* Copyright (c) 2019-2021 Advanced Micro Devices, Inc. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#ifndef TEST_BROADCAST_MULTI_PROCESS_HPP
#define TEST_BROADCAST_MULTI_PROCESS_HPP
#include "CorrectnessTest.hpp"
namespace CorrectnessTests
{
class BroadcastMultiProcessCorrectnessTest : public MultiProcessCorrectnessTest
{
public:
static void ComputeExpectedResults(Dataset& dataset, int const root, int const rank)
{
// Root has the answer; share it via host memcpy's
if (rank == root)
{
HIP_CALL(hipMemcpy(dataset.expected[rank], dataset.inputs[rank],
dataset.NumBytes(), hipMemcpyDeviceToHost));
for (int i = 0; i < dataset.numDevices; i++)
{
if (i == rank) continue;
memcpy(dataset.expected[i], dataset.expected[root], dataset.NumBytes());
}
}
}
void TestBroadcast(int rank, Dataset& dataset)
{
SetUpPerProcess(rank, ncclCollBroadcast, comms[rank], streams[rank], dataset);
if (numDevices > numDevicesAvailable) 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)
ncclResult_t res = ncclBroadcast(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
ValidateResults(dataset, rank);
// Ensure all processes have finished current iteration before proceeding
barrier.Wait();
}
TearDownPerProcess(comms[rank], streams[rank]);
dataset.Release(rank);
}
};
}
#endif