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TheRock/rocm-systems/projects/rccl/test/P2pChannelScalingTests.cpp
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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

157 lines
6.3 KiB
C++

/*************************************************************************
* Copyright (c) 2026 Advanced Micro Devices, Inc. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#include "TestBed.hpp"
namespace RcclUnitTesting
{
// Large-message gather exercises the asymmetric P2P channel scaling path
// in addP2pToPlan(). With nChannelsMax > nChannelsMin (e.g. 16-GPU DPX+NPS2),
// gather should use nChannelsMax since only the root rank is the traffic hub.
TEST(P2pChannelScaling, GatherLargeMessage)
{
TestBed testBed;
std::vector<ncclFunc_t> const funcTypes = {ncclCollGather};
std::vector<ncclDataType_t> const dataTypes = {ncclFloat32};
std::vector<ncclRedOp_t> const redOps = {ncclSum};
std::vector<int> const roots = {0};
std::vector<int> const numElements = {16 * 1024 * 1024};
std::vector<bool> const inPlaceList = {false};
std::vector<bool> const managedMemList = {false};
std::vector<bool> const useHipGraphList = {false};
testBed.RunSimpleSweep(funcTypes, dataTypes, redOps, roots, numElements,
inPlaceList, managedMemList, useHipGraphList);
testBed.Finalize();
}
// Large-message scatter exercises the same asymmetric path from the
// send direction (root fans out to all peers).
TEST(P2pChannelScaling, ScatterLargeMessage)
{
TestBed testBed;
std::vector<ncclFunc_t> const funcTypes = {ncclCollScatter};
std::vector<ncclDataType_t> const dataTypes = {ncclFloat32};
std::vector<ncclRedOp_t> const redOps = {ncclSum};
std::vector<int> const roots = {0};
std::vector<int> const numElements = {16 * 1024 * 1024};
std::vector<bool> const inPlaceList = {false};
std::vector<bool> const managedMemList = {false};
std::vector<bool> const useHipGraphList = {false};
testBed.RunSimpleSweep(funcTypes, dataTypes, redOps, roots, numElements,
inPlaceList, managedMemList, useHipGraphList);
testBed.Finalize();
}
// Large-message alltoall is symmetric (all ranks send and receive),
// so it must NOT get the boosted channel count.
TEST(P2pChannelScaling, AllToAllLargeMessage)
{
TestBed testBed;
std::vector<ncclFunc_t> const funcTypes = {ncclCollAlltoAll};
std::vector<ncclDataType_t> const dataTypes = {ncclFloat32};
std::vector<ncclRedOp_t> const redOps = {ncclSum};
std::vector<int> const roots = {0};
std::vector<int> const numElements = {16 * 1024 * 1024};
std::vector<bool> const inPlaceList = {false};
std::vector<bool> const managedMemList = {false};
std::vector<bool> const useHipGraphList = {false};
testBed.RunSimpleSweep(funcTypes, dataTypes, redOps, roots, numElements,
inPlaceList, managedMemList, useHipGraphList);
testBed.Finalize();
}
// Large-message alltoallv is symmetric, same as alltoall.
// AllToAllV requires explicit sendcounts/recvcounts/displacements.
TEST(P2pChannelScaling, AllToAllVLargeMessage)
{
TestBed testBed;
bool const inPlace = false;
bool const useManagedMem = false;
bool const useHipGraph = false;
OptionalColArgs options;
bool isCorrect = true;
for (int totalRanks : testBed.ev.GetNumGpusList())
for (int isMultiProcess : testBed.ev.GetIsMultiProcessList())
{
int const numProcesses = isMultiProcess ? totalRanks : 1;
const std::vector<int>& gpuPriorityOrder = testBed.ev.GetGpuPriorityOrder();
testBed.InitComms(TestBed::GetDeviceIdsList(numProcesses, totalRanks, gpuPriorityOrder));
int const chunkSize = 65536;
std::vector<size_t> numInputElements(totalRanks, 0);
std::vector<size_t> numOutputElements(totalRanks, 0);
for (int s = 0; s < totalRanks; ++s)
for (int r = 0; r < totalRanks; ++r)
{
int numElements = (1 + s + r) * chunkSize;
options.sendcounts[s * totalRanks + r] = numElements;
options.recvcounts[r * totalRanks + s] = numElements;
}
for (int s = 0; s < totalRanks; ++s)
{
int totalSend = 0, totalRecv = 0;
for (int r = 0; r < totalRanks; ++r)
{
options.sdispls[s * totalRanks + r] = totalSend;
options.rdispls[s * totalRanks + r] = totalRecv;
totalSend += options.sendcounts[s * totalRanks + r];
totalRecv += options.recvcounts[s * totalRanks + r];
}
numInputElements[s] = totalSend;
numOutputElements[s] = totalRecv;
}
for (int rank = 0; rank < totalRanks; ++rank)
{
testBed.SetCollectiveArgs(ncclCollAlltoAllv,
ncclFloat32,
numInputElements[rank],
numOutputElements[rank],
options,
-1,
0,
rank);
}
testBed.AllocateMem(inPlace, useManagedMem);
testBed.PrepareData();
testBed.ExecuteCollectives({}, useHipGraph);
testBed.ValidateResults(isCorrect);
testBed.DeallocateMem();
testBed.DestroyComms();
}
testBed.Finalize();
}
// Non-root gather to exercise asymmetric detection from a different root.
TEST(P2pChannelScaling, GatherNonZeroRoot)
{
TestBed testBed;
std::vector<ncclFunc_t> const funcTypes = {ncclCollGather};
std::vector<ncclDataType_t> const dataTypes = {ncclBfloat16};
std::vector<ncclRedOp_t> const redOps = {ncclSum};
std::vector<int> const roots = {1};
std::vector<int> const numElements = {16 * 1024 * 1024};
std::vector<bool> const inPlaceList = {false};
std::vector<bool> const managedMemList = {false};
std::vector<bool> const useHipGraphList = {false};
testBed.RunSimpleSweep(funcTypes, dataTypes, redOps, roots, numElements,
inPlaceList, managedMemList, useHipGraphList);
testBed.Finalize();
}
}