Files
rocm-systems/src/init.cc
T
Ke Wen 7e51592129 2.10.3-1
Add support for bfloat16.
Add ncclAvg reduction operation.
Improve performance for aggregated operations.
Improve performance for tree.
Improve network error reporting.
Add NCCL_NET parameter to force a specific network.
Add NCCL_IB_QPS_PER_CONNECTION parameter to split IB traffic onto multiple queue pairs.
Fix topology detection error in WSL2.
Fix proxy memory elements affinity (improve alltoall performance).
Fix graph search on cubemesh topologies.
Fix hang in cubemesh during NVB connections.
2021-07-08 14:30:14 -07:00

1076 lines
41 KiB
C++

/*************************************************************************
* Copyright (c) 2015-2021, NVIDIA CORPORATION. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#include "nccl.h"
#include "channel.h"
#include "nvmlwrap.h"
#include "gdrwrap.h"
#include "bootstrap.h"
#include "transport.h"
#include "group.h"
#include "net.h"
#include "coll_net.h"
#include "enqueue.h"
#include "graph.h"
#include "argcheck.h"
#include <fcntl.h>
#include <string.h>
#include <errno.h>
#include <assert.h>
#include <dlfcn.h>
#include <sys/types.h>
#include <sys/stat.h>
#include <unistd.h>
#define STR2(v) #v
#define STR(v) STR2(v)
#ifdef ENABLE_TRACE
std::chrono::high_resolution_clock::time_point ncclEpoch;
#endif
#if CUDART_VERSION >= 9020
#define NCCL_GROUP_CUDA_STREAM 0 // CGMD: CUDA 9.2,10.X Don't need to use an internal CUDA stream
#else
#define NCCL_GROUP_CUDA_STREAM 1 // CGMD: CUDA 9.0,9.1 Need to use an internal CUDA stream
#endif
const char* ncclFuncStr[NCCL_NUM_FUNCTIONS] = { "Broadcast", "Reduce", "AllGather", "ReduceScatter", "AllReduce" };
const char* ncclAlgoStr[NCCL_NUM_ALGORITHMS] = { "Tree", "Ring", "CollNet" };
const char* ncclProtoStr[NCCL_NUM_PROTOCOLS] = { "LL", "LL128", "Simple" };
NCCL_PARAM(GroupCudaStream, "GROUP_CUDA_STREAM", NCCL_GROUP_CUDA_STREAM);
NCCL_PARAM(CheckPointers, "CHECK_POINTERS", 0);
ncclNet_t* ncclNet = NULL;
ncclCollNet_t* ncclCollNet = NULL;
// Returns ncclInternalError if anything fails, causing that network to be ignored.
ncclResult_t initNet(ncclNet_t* net) {
int ndev;
if (net->init(ncclDebugLog) != ncclSuccess) return ncclInternalError;
if (net->devices(&ndev) != ncclSuccess) return ncclInternalError;
if (ndev <= 0) return ncclSystemError;
return ncclSuccess;
}
ncclResult_t initCollNet(ncclCollNet_t* collnet) {
int ndev;
if (collnet->init(ncclDebugLog) != ncclSuccess) return ncclInternalError;
if (collnet->devices(&ndev) != ncclSuccess) return ncclInternalError;
if (ndev <= 0) return ncclSystemError;
return ncclSuccess;
}
ncclResult_t initNetPlugin(ncclNet_t** net, ncclCollNet_t** collnet) {
void* netPluginLib = dlopen("libnccl-net.so", RTLD_NOW | RTLD_LOCAL);
if (netPluginLib == NULL) {
// dlopen does not guarantee to set errno, but dlerror only gives us a
// string, so checking errno doesn't hurt to try to provide a better
// error message
if (errno == ENOENT) {
INFO(NCCL_INIT|NCCL_NET, "NET/Plugin : No plugin found (libnccl-net.so), using internal implementation");
} else {
INFO(NCCL_INIT|NCCL_NET, "NET/Plugin : Plugin load returned %d : %s.", errno, dlerror());
}
return ncclSuccess;
}
*net = (ncclNet_t*) dlsym(netPluginLib, STR(NCCL_PLUGIN_SYMBOL));
if (*net == NULL) {
INFO(NCCL_INIT|NCCL_NET, "NET/Plugin: Failed to find " STR(NCCL_PLUGIN_SYMBOL) " symbol.");
if (netPluginLib != NULL) dlclose(netPluginLib);
return ncclSuccess;
}
// Check for CollNet
*collnet = (ncclCollNet_t*) dlsym(netPluginLib, STR(NCCL_COLLNET_PLUGIN_SYMBOL));
if (*collnet == NULL) {
INFO(NCCL_INIT|NCCL_NET, "NET/Plugin: Failed to find " STR(NCCL_COLLNET_PLUGIN_SYMBOL) " symbol.");
}
return ncclSuccess;
}
ncclResult_t initNet() {
// Always initialize bootstrap network
NCCLCHECK(bootstrapNetInit());
// Initialize main communication network
ncclNet_t* nets[3] = { NULL, &ncclNetIb, &ncclNetSocket };
ncclCollNet_t* collNets[3] = { NULL, NULL, NULL };
NCCLCHECK(initNetPlugin(nets+0, collNets+0));
char* netName = getenv("NCCL_NET");
for (int i=0; i<3; i++) {
if (nets[i] == NULL) continue;
if (netName && strcmp(netName, nets[i]->name) != 0) continue;
// net plugin is already initialized
if (initNet(nets[i]) != ncclSuccess) continue;
ncclNet = nets[i];
if (collNets[i] && initCollNet(collNets[i]) == ncclSuccess) {
ncclCollNet = collNets[i];
}
break;
}
if (ncclNet == NULL) {
WARN("Error: network %s not found.", netName ? netName : "");
return ncclInvalidUsage;
}
return ncclSuccess;
}
// GDRCOPY support: Off by default
NCCL_PARAM(GdrCopyEnable, "GDRCOPY_ENABLE", 0);
// GDRCOPY support
gdr_t ncclGdrCopy = NULL;
ncclResult_t initGdrCopy() {
if (ncclParamGdrCopyEnable() == 1) {
ncclGdrCopy = ncclGdrInit();
}
return ncclSuccess;
}
NCCL_PARAM(CollNetEnable, "COLLNET_ENABLE", 0);
pthread_mutex_t initLock = PTHREAD_MUTEX_INITIALIZER;
static bool initialized = false;
static size_t maxLocalSizeBytes = 0;
static ncclResult_t ncclInit() {
if (initialized) return ncclSuccess;
pthread_mutex_lock(&initLock);
if (!initialized) {
initEnv();
initGdrCopy();
maxLocalSizeBytes = ncclKernMaxLocalSize();
NCCLCHECK(initNet());
INFO(NCCL_INIT, "Using network %s", ncclNetName());
initialized = true;
}
pthread_mutex_unlock(&initLock);
return ncclSuccess;
}
NCCL_API(ncclResult_t, ncclGetVersion, int* version);
ncclResult_t ncclGetVersion(int* version) {
if (version == NULL) return ncclInvalidArgument;
*version = NCCL_VERSION_CODE;
return ncclSuccess;
}
NCCL_API(ncclResult_t, ncclGetUniqueId, ncclUniqueId* out);
ncclResult_t ncclGetUniqueId(ncclUniqueId* out) {
NCCLCHECK(ncclInit());
NCCLCHECK(PtrCheck(out, "GetUniqueId", "out"));
return bootstrapGetUniqueId(out);
}
// Prevent compiler from optimizing out these operations
#ifdef __clang__
#define NCCL_NO_OPTIMIZE __attribute__((optnone))
#else
#define NCCL_NO_OPTIMIZE __attribute__((optimize("O0")))
#endif
void NCCL_NO_OPTIMIZE commPoison(ncclComm_t comm) {
comm->rank = comm->cudaDev = comm->busId = comm->nRanks = -1;
}
#undef NCCL_NO_OPTIMIZE
static ncclResult_t commFree(ncclComm_t comm) {
if (comm == NULL)
return ncclSuccess;
free(comm->connectSend);
free(comm->connectRecv);
for (int peer=0; peer<comm->nRanks; peer++) {
delete comm->p2pSends[peer];
delete comm->p2pRecvs[peer];
}
free(comm->p2pSends);
free(comm->p2pRecvs);
free(comm->asyncOps);
free(comm->peerInfo);
ncclTopoFree(comm->topo);
if (comm->bootstrap)
NCCLCHECK(bootstrapClose(comm->bootstrap));
CUDACHECK(cudaFree((ncclDevCommAndChannels*)comm->devComm));
for (int channel=0; channel<MAXCHANNELS; channel++)
NCCLCHECK(freeChannel(comm->channels+channel, comm->nRanks));
if (comm->doneEvent != NULL)
CUDACHECK(cudaEventDestroy(comm->doneEvent));
if (comm->intDoneEvent != NULL)
CUDACHECK(cudaEventDestroy(comm->intDoneEvent));
if (comm->launchMode == ncclComm::GROUP) {
CUDACHECK(cudaStreamDestroy(comm->groupStream));
}
ncclDestroyQueueInfo(comm->enqueueInfo);
// Last rank frees shared resources between threads
int isLast;
NCCLCHECK(ncclCpuBarrierIn(comm, &isLast));
if (isLast) {
free(comm->intraBarrier);
free(comm->intraParams);
free(comm->intraCudaDevs);
free(comm->intraCGMode);
free(comm->intraCC);
}
NCCLCHECK(ncclCudaHostFree((void *)comm->abortFlag));
// Poison comm to try and catch a double free
commPoison(comm);
free(comm);
return ncclSuccess;
}
NCCL_PARAM(AggChannelSize, "AGG_CHANNEL_SIZE", -2);
static ncclResult_t commAlloc(ncclComm_t* comret, int ndev, int rank) {
if (ndev < 1) {
WARN("invalid device count (%d) requested", ndev);
return ncclInvalidArgument;
}
if (rank >= ndev || rank < 0) {
WARN("rank %d exceeds ndev=%d", rank, ndev);
return ncclInvalidArgument;
}
// Try to create a CUDA object right away. If there is something wrong with
// the device we're on (failure cause #1) , better know it early.
cudaEvent_t doneEvent;
CUDACHECK(cudaEventCreateWithFlags(&doneEvent, cudaEventDisableTiming));
cudaEvent_t intDoneEvent;
CUDACHECK(cudaEventCreateWithFlags(&intDoneEvent, cudaEventDisableTiming));
struct ncclComm* comm;
NCCLCHECK(ncclCalloc(&comm, 1));
comm->rank = comm->hostDevComm.rank = rank;
comm->nRanks = comm->hostDevComm.nRanks = ndev;
cudaGetDevice(&comm->cudaDev);
NCCLCHECK(getBusId(comm->cudaDev, &comm->busId));
TRACE(NCCL_INIT,"comm %p rank %d nranks %d cudaDev %d busId %lx", comm, rank, ndev, comm->cudaDev, comm->busId);
comm->doneEvent = doneEvent;
comm->intDoneEvent = intDoneEvent;
comm->checkPointers = ncclParamCheckPointers() == 1 ? true : false;
#if CUDART_VERSION >= 9020
comm->groupCudaStream = ncclParamGroupCudaStream();
#else
// Don't allow the user to overload the default setting in older CUDA builds
comm->groupCudaStream = NCCL_GROUP_CUDA_STREAM;
#endif
comm->fatalError = ncclSuccess;
NCCLCHECK(ncclCudaHostCalloc((uint32_t**)&comm->abortFlag, 1));
comm->hostDevComm.abortFlag = comm->abortFlag;
*comm->abortFlag = 0;
comm->argsptr = &comm->args;
comm->collNetSupport = 0;
NCCLCHECK(ncclCalloc(&comm->asyncOps, NCCL_MAX_OPS));
comm->asyncOpCount = 0;
comm->asyncTotalSize = 0;
comm->channelSize = ncclParamAggChannelSize();
comm->asyncAllocMode = ncclComm::SHORTEST_QUEUE;
char* str = getenv("NCCL_AGG_ALLOC_MODE");
if (str) INFO(NCCL_ENV, "NCCL_AGG_ALLOC_MODE set by environment to %s", str);
if (str && strcmp(str, "ROUND_ROBIN") == 0) {
comm->asyncAllocMode = ncclComm::ROUND_ROBIN;
}
NCCLCHECK(ncclCreateQueueInfo(&comm->enqueueInfo, comm));
comm->lastSetupNode = NULL;
comm->lastCudaGraphId = -1;
CUDACHECK(cudaDriverGetVersion(&comm->driverVersion));
static_assert(MAXCHANNELS <= sizeof(*comm->connectSend)*8, "comm->connectSend must have enough bits for all channels");
static_assert(MAXCHANNELS <= sizeof(*comm->connectRecv)*8, "comm->connectRecv must have enough bits for all channels");
NCCLCHECK(ncclCalloc(&comm->connectSend, comm->nRanks));
NCCLCHECK(ncclCalloc(&comm->connectRecv, comm->nRanks));
comm->p2pSendCount = comm->p2pRecvCount = 0;
NCCLCHECK(ncclCalloc(&comm->p2pSends, comm->nRanks));
NCCLCHECK(ncclCalloc(&comm->p2pRecvs, comm->nRanks));
// Mark channels as non initialized.
for (int c=0; c<MAXCHANNELS; c++) comm->channels[c].id = -1;
*comret = comm;
return ncclSuccess;
}
static ncclResult_t devCommSetup(ncclComm_t comm) {
ncclDevCommAndChannels *devCommAndChans;
NCCLCHECK(ncclCudaCalloc(&devCommAndChans, 1));
comm->devComm = &devCommAndChans->comm;
comm->hostDevComm.channels = devCommAndChans->channels;
// Duplicate the channels on the device
int nChannels = std::max(comm->nChannels, comm->p2pnChannels);
NCCLCHECK(ncclCudaMemcpy(comm->hostDevComm.channels, comm->channels, nChannels));
// Copy userRanks and peers
for (int r=0; r<comm->nChannels; r++) {
NCCLCHECK(ncclCudaMemcpy(comm->channels[r].ring.devUserRanks, comm->channels[r].ring.userRanks, comm->nRanks));
}
// Duplicate the dev comm on the device
NCCLCHECK(ncclCudaMemcpy(comm->devComm, &comm->hostDevComm, 1));
return ncclSuccess;
}
// Pre-process the string so that running "strings" on the lib can quickly reveal the version.
#define VERSION_STRING "NCCL version " STR(NCCL_MAJOR) "." STR(NCCL_MINOR) "." STR(NCCL_PATCH) NCCL_SUFFIX "+cuda" STR(CUDA_MAJOR) "." STR(CUDA_MINOR)
static void showVersion() {
static int shown = 0;
if (shown == 0 && ncclDebugLevel >= NCCL_LOG_VERSION) {
printf("%s\n", VERSION_STRING);
fflush(stdout);
if (ncclDebugFile != stdout)
INFO(NCCL_ALL,"%s", VERSION_STRING); // Also log NCCL version in one of the files
shown = 1;
}
}
static ncclResult_t fillInfo(struct ncclComm* comm, struct ncclPeerInfo* info, uint64_t commHash) {
info->rank = comm->rank;
CUDACHECK(cudaGetDevice(&info->cudaDev));
info->hostHash=getHostHash()+commHash;
info->pidHash=getPidHash()+commHash;
// Get the device MAJOR:MINOR of /dev/shm so we can use that
// information to decide whether we can use SHM for inter-process
// communication in a container environment
struct stat statbuf;
SYSCHECK(stat("/dev/shm", &statbuf), "stat");
info->shmDev = statbuf.st_dev;
info->busId = comm->busId;
NCCLCHECK(ncclGpuGdrSupport(&info->gdrSupport));
return ncclSuccess;
}
static ncclResult_t setupChannel(struct ncclComm* comm, int channelId, int rank, int nranks, int* ringRanks) {
TRACE(NCCL_INIT, "rank %d nranks %d", rank, nranks);
NCCLCHECK(initChannel(comm, channelId));
struct ncclRing* ring = &comm->channels[channelId].ring;
// Find our ring-distance from rank zero and reorganize ranks to start with rank.
int ixZero=0, ixRank=0;
for (int i=0; i < nranks; i++) {
if (ringRanks[i] == 0) ixZero = i;
if (ringRanks[i] == rank) ixRank = i;
}
ring->index = (ixRank-ixZero + nranks)%nranks;
for (int i=0; i<nranks; i++) {
ring->userRanks[i] = ringRanks[(i+ixRank)%nranks];
}
return ncclSuccess;
}
void* waitForNonNullPtr(void* p) {
volatile void** ptr = (volatile void**) p;
while (*ptr == NULL) sched_yield();
return (void*)*ptr;
}
ncclResult_t initParams(struct ncclComm* comm) {
struct cudaLaunchParams* params = comm->myParams = comm->intraParams+comm->intraRank;
params->args = &comm->argsptr;
params->stream = NULL;
params->sharedMem = 0;
params->blockDim.x = 0; params->blockDim.y = params->blockDim.z = 1;
params->gridDim.x = 0; params->gridDim.y = params->gridDim.z = 1;
return ncclSuccess;
}
// Allocate/Set Intra Process Structures and set CG options
ncclResult_t ncclCommSetIntraProc(struct ncclComm* comm, int rank, int ranks, struct ncclComm* comm0) {
comm->intraRank = rank;
comm->intraRanks = ranks;
comm->intraPhase = 0;
// Alloc shared structures
if (rank == 0) {
assert(comm == comm0);
int* bar;
NCCLCHECK(ncclCalloc(&bar, 2));
bar[0] = bar[1] = 0;
comm->intraBarrier = bar;
NCCLCHECK(ncclCalloc(&comm->intraParams, comm->intraRanks));
NCCLCHECK(ncclCalloc(&comm->intraCudaDevs, comm->intraRanks));
int* CGMode;
NCCLCHECK(ncclCalloc(&CGMode, 1));
*CGMode = 0x11;
comm->intraCGMode = CGMode;
int* CC;
NCCLCHECK(ncclCalloc(&CC, 1));
*CC = ncclCudaCompCap();
comm->intraCC = CC;
} else {
comm->intraBarrier = (int*)waitForNonNullPtr(&comm0->intraBarrier);
comm->intraParams = (struct cudaLaunchParams*)waitForNonNullPtr(&comm0->intraParams);
comm->intraCudaDevs = (int*)waitForNonNullPtr(&comm0->intraCudaDevs);
comm->intraCGMode = (int*)waitForNonNullPtr(&comm0->intraCGMode);
comm->intraCC = (int*)waitForNonNullPtr(&comm0->intraCC);
}
comm->intraCudaDevs[comm->intraRank] = comm->cudaDev;
NCCLCHECK(initParams(comm));
int cgMdLaunch = 0;
// Set CG Mode
comm->launchMode = ncclComm::PARALLEL;
char* str = getenv("NCCL_LAUNCH_MODE");
if (str) INFO(NCCL_ENV, "NCCL_LAUNCH_MODE set by environment to %s", str);
if (str && strcmp(str, "GROUP") == 0) {
comm->launchMode = ncclComm::GROUP;
}
if (comm->launchMode == ncclComm::GROUP) {
CUDACHECK(cudaStreamCreateWithFlags(&comm->groupStream, cudaStreamNonBlocking));
#if CUDART_VERSION >= 9000
if (*comm->intraCC && (ncclCudaCompCap() == *comm->intraCC)) {
// Check whether the GPU supports Cooperative Group Multi Device Launch
(void) cudaDeviceGetAttribute(&cgMdLaunch, cudaDevAttrCooperativeMultiDeviceLaunch, comm->cudaDev);
}
#endif
}
// Disable cgMdLaunch if any rank does not support it
if (cgMdLaunch == 0) {
*comm->intraCGMode = 0x10;
}
return ncclSuccess;
}
#define DEFAULT_LL_BUFFSIZE (NCCL_LL_LINES_PER_THREAD*NCCL_LL_MAX_NTHREADS*NCCL_STEPS*sizeof(union ncclLLFifoLine))
#define DEFAULT_LL128_BUFFSIZE (NCCL_LL128_ELEMS_PER_THREAD*NCCL_LL128_MAX_NTHREADS*NCCL_STEPS*sizeof(uint64_t))
#define DEFAULT_BUFFSIZE (1 << 22) /* 4MiB */
#define DEFAULT_BUFFSIZE_ARM (1 << 20) /* 1MiB */
NCCL_PARAM(BuffSize, "BUFFSIZE", -2);
NCCL_PARAM(LlBuffSize, "LL_BUFFSIZE", -2);
NCCL_PARAM(Ll128BuffSize, "LL128_BUFFSIZE", -2);
static ncclResult_t computeBuffSizes(struct ncclComm* comm) {
int cpuArch, cpuVendor, cpuModel;
NCCLCHECK(ncclTopoCpuType(comm->topo, &cpuArch, &cpuVendor, &cpuModel));
int64_t envs[NCCL_NUM_PROTOCOLS] = { ncclParamLlBuffSize(), ncclParamLl128BuffSize(), ncclParamBuffSize() };
int defaults[NCCL_NUM_PROTOCOLS] = { DEFAULT_LL_BUFFSIZE, DEFAULT_LL128_BUFFSIZE, DEFAULT_BUFFSIZE };
if (cpuArch == NCCL_TOPO_CPU_ARCH_ARM) defaults[NCCL_PROTO_SIMPLE] = DEFAULT_BUFFSIZE_ARM;
for (int p=0; p<NCCL_NUM_PROTOCOLS; p++) {
comm->buffSizes[p] = comm->hostDevComm.buffSizes[p] = envs[p] != -2 ? envs[p] : defaults[p];
}
return ncclSuccess;
}
NCCL_PARAM(CrossNic, "CROSS_NIC", 2);
NCCL_PARAM(GraphDumpFileRank, "GRAPH_DUMP_FILE_RANK", 0);
NCCL_PARAM(CollNetNodeThreshold, "COLLNET_NODE_THRESHOLD", 2);
NCCL_PARAM(NvbPreconnect, "NVB_PRECONNECT", 1);
static ncclResult_t initTransportsRank(struct ncclComm* comm, ncclUniqueId* commId) {
// We use 2 AllGathers
// 1. { peerInfo, comm, compCap}
// 2. { nChannels, graphInfo, topoRanks }
int rank = comm->rank;
int nranks = comm->nRanks;
uint64_t commHash = getHash(commId->internal, NCCL_UNIQUE_ID_BYTES);
TRACE(NCCL_INIT, "comm %p, commHash %lx, rank %d nranks %d - BEGIN", comm, commHash, rank, nranks);
NCCLCHECK(bootstrapInit(commId, rank, nranks, &comm->bootstrap));
// AllGather1 - begin
struct {
struct ncclPeerInfo peerInfo;
struct ncclComm* comm;
int cudaCompCap;
} *allGather1Data;
NCCLCHECK(ncclCalloc(&allGather1Data, nranks));
allGather1Data[rank].comm = comm;
allGather1Data[rank].cudaCompCap = ncclCudaCompCap();
struct ncclPeerInfo* myInfo = &allGather1Data[rank].peerInfo;
NCCLCHECK(fillInfo(comm, myInfo, commHash));
NCCLCHECK(bootstrapAllGather(comm->bootstrap, allGather1Data, sizeof(*allGather1Data)));
NCCLCHECK(ncclCalloc(&comm->peerInfo, nranks+1)); // Extra rank to represent CollNet root
for (int i = 0; i < nranks; i++) {
memcpy(comm->peerInfo+i, &allGather1Data[i].peerInfo, sizeof(struct ncclPeerInfo));
if ((i != rank) && (comm->peerInfo[i].hostHash == myInfo->hostHash) && (comm->peerInfo[i].busId == myInfo->busId)) {
WARN("Duplicate GPU detected : rank %d and rank %d both on CUDA device %lx", rank, i, myInfo->busId);
return ncclInvalidUsage;
}
}
// Compute intra ranks and minimum CUDA Compute capabilities of intra-node GPUs and all GPUs
int intraProcRank0 = -1, intraProcRank = -1, intraProcRanks = 0;
int intraNodeRank0 = -1, intraNodeRank = -1, intraNodeRanks = 0;
int myCompCap = allGather1Data[rank].cudaCompCap;
int minCompCap = myCompCap, maxCompCap = myCompCap;
int intraNodeGlobalRanks[256];
for (int i = 0; i < nranks; i++) {
if (allGather1Data[i].peerInfo.hostHash == allGather1Data[rank].peerInfo.hostHash) {
// Rank is on same node
if (intraNodeRanks == 0) intraNodeRank0 = i;
if (i == rank) intraNodeRank = intraNodeRanks;
intraNodeGlobalRanks[intraNodeRanks++] = i;
if (allGather1Data[i].peerInfo.pidHash == allGather1Data[rank].peerInfo.pidHash) {
// Rank is in same process
if (intraProcRanks == 0) intraProcRank0 = i;
if (i == rank) intraProcRank = intraProcRanks;
intraProcRanks++;
}
}
minCompCap = std::min(allGather1Data[i].cudaCompCap, minCompCap);
maxCompCap = std::max(allGather1Data[i].cudaCompCap, maxCompCap);
}
TRACE(NCCL_INIT,"hostHash[%d] %lx intraNodeRank %d intraNodeRanks %d intraNodeRank0 %d",
rank, allGather1Data[rank].peerInfo.hostHash, intraNodeRank, intraNodeRanks, intraNodeRank0);
TRACE(NCCL_INIT,"pidHash[%d] %lx intraProcRank %d intraProcRanks %d intraProcRank0 %d",
rank, allGather1Data[rank].peerInfo.pidHash, intraProcRank, intraProcRanks, intraProcRank0);
if (intraProcRank == -1 || intraProcRank0 == -1 || allGather1Data[intraProcRank0].comm == NULL) {
WARN("Failed to determine intra proc ranks rank %d hostHash %lx pidHash %lx intraProcRank %d intraProcRanks %d intraProcRank0 %d",
rank, allGather1Data[rank].peerInfo.hostHash, allGather1Data[rank].peerInfo.pidHash,
intraProcRank, intraProcRanks, intraProcRank0);
return ncclInternalError;
}
if (intraNodeRank == -1 || intraNodeRank0 == -1 || intraNodeRanks == 0) {
WARN("Failed to determine intra node ranks rank %d hostHash %lx pidHash %lx intraNodeRank %d intraNodeRanks %d intraNodeRank0 %d",
rank, allGather1Data[rank].peerInfo.hostHash, allGather1Data[rank].peerInfo.pidHash,
intraNodeRank, intraNodeRanks, intraNodeRank0);
return ncclInternalError;
}
struct ncclComm* intraProcRank0Comm = allGather1Data[intraProcRank0].comm;
uint64_t intraNodeRank0pidHash = allGather1Data[intraNodeRank0].peerInfo.pidHash;
free(allGather1Data);
// AllGather1 - end
// Topo detection / System graph creation
NCCLCHECK(ncclTopoGetSystem(comm, &comm->topo));
// Compute paths between GPUs and NICs
NCCLCHECK(ncclTopoComputePaths(comm->topo, comm->peerInfo));
// Remove inaccessible GPUs and unused NICs
NCCLCHECK(ncclTopoTrimSystem(comm->topo, comm));
// Recompute paths after trimming
NCCLCHECK(ncclTopoComputePaths(comm->topo, comm->peerInfo));
// Init search
NCCLCHECK(ncclTopoSearchInit(comm->topo));
// Print final topology
NCCLCHECK(ncclTopoPrint(comm->topo));
// Get rings and trees
struct ncclTopoGraph ringGraph;
ringGraph.id = 0;
ringGraph.pattern = NCCL_TOPO_PATTERN_RING;
ringGraph.crossNic = ncclParamCrossNic();
ringGraph.collNet = 0;
ringGraph.minChannels = 1;
ringGraph.maxChannels = MAXCHANNELS/2;
NCCLCHECK(ncclTopoCompute(comm->topo, &ringGraph));
NCCLCHECK(ncclTopoPrintGraph(comm->topo, &ringGraph));
struct ncclTopoGraph treeGraph;
treeGraph.id = 1;
treeGraph.pattern = NCCL_TOPO_PATTERN_BALANCED_TREE;
treeGraph.crossNic = ncclParamCrossNic();
treeGraph.collNet = 0;
treeGraph.minChannels = 1;
treeGraph.maxChannels = ringGraph.nChannels;
NCCLCHECK(ncclTopoCompute(comm->topo, &treeGraph));
NCCLCHECK(ncclTopoPrintGraph(comm->topo, &treeGraph));
struct ncclTopoGraph collNetGraph;
collNetGraph.id = 2;
collNetGraph.pattern = NCCL_TOPO_PATTERN_TREE;
collNetGraph.collNet = 1;
collNetGraph.crossNic = ncclParamCrossNic();
collNetGraph.minChannels = collNetGraph.maxChannels = ringGraph.nChannels;
NCCLCHECK(ncclTopoCompute(comm->topo, &collNetGraph));
NCCLCHECK(ncclTopoPrintGraph(comm->topo, &collNetGraph));
if (comm->rank == ncclParamGraphDumpFileRank()) {
struct ncclTopoGraph* graphs[3] = { &ringGraph, &treeGraph, &collNetGraph };
NCCLCHECK(ncclTopoDumpGraphs(comm->topo, 3, graphs));
}
// Determine local CollNet support before all-gather
if (ncclParamCollNetEnable() == 1 && collNetSupport() == 1 && collNetGraph.nChannels > 0) comm->collNetSupport = 1;
if (intraNodeRanks > 8) {
if (comm->collNetSupport == 1) WARN("CollNet currently only supports up to 8 GPUs per node");
comm->collNetSupport = 0;
}
// AllGather3 - begin
struct ncclGraphInfo {
int pattern;
int nChannels;
int sameChannels;
float speedIntra;
float speedInter;
int typeIntra;
int typeInter;
};
struct {
int collNetSupport;
struct ncclGraphInfo tree;
struct ncclGraphInfo ring;
struct ncclGraphInfo collNet;
struct ncclTopoRanks topoRanks;
} *allGather3Data;
NCCLCHECK(ncclCalloc(&allGather3Data, nranks));
allGather3Data[rank].tree.pattern = treeGraph.pattern;
allGather3Data[rank].tree.nChannels = treeGraph.nChannels;
allGather3Data[rank].tree.sameChannels = treeGraph.sameChannels;
allGather3Data[rank].tree.speedIntra = treeGraph.speedIntra;
allGather3Data[rank].tree.speedInter = treeGraph.speedInter;
allGather3Data[rank].tree.typeIntra = treeGraph.typeIntra;
allGather3Data[rank].tree.typeInter = treeGraph.typeInter;
allGather3Data[rank].ring.pattern = ringGraph.pattern;
allGather3Data[rank].ring.nChannels = ringGraph.nChannels;
allGather3Data[rank].ring.sameChannels = ringGraph.sameChannels;
allGather3Data[rank].ring.speedIntra = ringGraph.speedIntra;
allGather3Data[rank].ring.speedInter = ringGraph.speedInter;
allGather3Data[rank].ring.typeIntra = ringGraph.typeIntra;
allGather3Data[rank].ring.typeInter = ringGraph.typeInter;
allGather3Data[rank].collNet.pattern = collNetGraph.pattern;
allGather3Data[rank].collNet.nChannels = collNetGraph.nChannels;
allGather3Data[rank].collNet.sameChannels = collNetGraph.sameChannels;
allGather3Data[rank].collNet.speedIntra = collNetGraph.speedIntra;
allGather3Data[rank].collNet.speedInter = collNetGraph.speedInter;
allGather3Data[rank].collNet.typeIntra = collNetGraph.typeIntra;
allGather3Data[rank].collNet.typeInter = collNetGraph.typeInter;
allGather3Data[rank].collNetSupport = comm->collNetSupport;
comm->nChannels = std::min(treeGraph.nChannels, ringGraph.nChannels);
NCCLCHECK(ncclTopoPreset(comm, &treeGraph, &ringGraph, &allGather3Data[rank].topoRanks));
NCCLCHECK(bootstrapAllGather(comm->bootstrap, allGather3Data, sizeof(*allGather3Data)));
// Determine nNodes, firstRanks, ...
int *nodesFirstRank, *nodesTreePatterns;
NCCLCHECK(ncclCalloc(&nodesFirstRank, nranks));
NCCLCHECK(ncclCalloc(&nodesTreePatterns, nranks));
for (int i=0; i<nranks; i++) {
int node = -1;
int firstRank = allGather3Data[i].topoRanks.ringRecv[0];
for (int n=0; n<comm->nNodes; n++) {
if (nodesFirstRank[n] == firstRank) node = n;
}
if (node == -1) {
node = comm->nNodes++;
nodesFirstRank[node] = firstRank;
// Record tree pattern of each node as they can be different depending on sm arch
nodesTreePatterns[node] = allGather3Data[i].tree.pattern;
}
if (i == comm->rank) comm->node = node;
}
int nChannelsOrig = comm->nChannels;
struct ncclTopoRanks** allTopoRanks;
NCCLCHECK(ncclCalloc(&allTopoRanks, comm->nRanks));
for (int i=0; i<nranks; i++) {
allTopoRanks[i] = &allGather3Data[i].topoRanks;
// Make sure we align all ranks so that the tuning is consistent across ranks
treeGraph.nChannels = std::min(allGather3Data[i].tree.nChannels, treeGraph.nChannels);
treeGraph.sameChannels = std::min(allGather3Data[i].tree.sameChannels, treeGraph.sameChannels);
treeGraph.speedIntra = std::min(allGather3Data[i].tree.speedIntra, treeGraph.speedIntra);
treeGraph.speedInter = std::min(allGather3Data[i].tree.speedInter, treeGraph.speedInter);
treeGraph.typeIntra = std::min(allGather3Data[i].tree.typeIntra, treeGraph.typeIntra);
treeGraph.typeInter = std::min(allGather3Data[i].tree.typeInter, treeGraph.typeInter);
ringGraph.nChannels = std::min(allGather3Data[i].ring.nChannels, ringGraph.nChannels);
ringGraph.sameChannels = std::min(allGather3Data[i].ring.sameChannels, ringGraph.sameChannels);
ringGraph.speedIntra = std::min(allGather3Data[i].ring.speedIntra, ringGraph.speedIntra);
ringGraph.speedInter = std::min(allGather3Data[i].ring.speedInter, ringGraph.speedInter);
ringGraph.typeIntra = std::min(allGather3Data[i].ring.typeIntra, ringGraph.typeIntra);
ringGraph.typeInter = std::min(allGather3Data[i].ring.typeInter, ringGraph.typeInter);
collNetGraph.nChannels = std::min(allGather3Data[i].collNet.nChannels, collNetGraph.nChannels);
collNetGraph.sameChannels = std::min(allGather3Data[i].collNet.sameChannels, collNetGraph.sameChannels);
collNetGraph.speedIntra = std::min(allGather3Data[i].collNet.speedIntra, collNetGraph.speedIntra);
collNetGraph.speedInter = std::min(allGather3Data[i].collNet.speedInter, collNetGraph.speedInter);
collNetGraph.typeIntra = std::min(allGather3Data[i].collNet.typeIntra, collNetGraph.typeIntra);
collNetGraph.typeInter = std::min(allGather3Data[i].collNet.typeInter, collNetGraph.typeInter);
comm->collNetSupport = std::min(allGather3Data[i].collNetSupport, comm->collNetSupport);
}
comm->nChannels = treeGraph.nChannels = ringGraph.nChannels = std::min(treeGraph.nChannels, ringGraph.nChannels);
if (comm->nChannels < nChannelsOrig) {
// We started duplicating channels during Preset(), so we need to move the
// duplicated channels since we have removed some.
for (int i=0; i<comm->nChannels; i++) memcpy(comm->channels+comm->nChannels+i, comm->channels+nChannelsOrig+i, sizeof(struct ncclChannel));
}
// Determine CollNet support after all-gather now that we know nNodes
int collNetNodeThreshold = ncclParamCollNetNodeThreshold();
if (comm->nNodes < collNetNodeThreshold) {
if (comm->collNetSupport == 1)
INFO(NCCL_INIT, "Communicator has %d nodes which is less than CollNet node threshold %d, disabling CollNet", comm->nNodes, collNetNodeThreshold);
comm->collNetSupport = 0;
}
int *rings;
NCCLCHECK(ncclCalloc(&rings, nranks*MAXCHANNELS));
NCCLCHECK(ncclTopoPostset(comm, nodesFirstRank, nodesTreePatterns, allTopoRanks, rings, &collNetGraph));
free(allTopoRanks);
free(nodesTreePatterns);
free(nodesFirstRank);
free(allGather3Data);
// AllGather3 - end
TRACE(NCCL_INIT, "rank %d nranks %d - BUILT %d TREES/RINGS", rank, nranks, comm->nChannels);
char line[1024];
line[0]='\0';
for (int c=0; c<comm->nChannels; c++) {
struct ncclTree* tree = &comm->channels[c].tree;
snprintf(line+strlen(line), 1023-strlen(line), " [%d] %d/%d/%d->%d->%d",
c, tree->down[0], tree->down[1], tree->down[2], rank, tree->up);
INFO(NCCL_GRAPH, "Ring %02d : %d -> %d -> %d", c, comm->channels[c].ring.prev, comm->rank, comm->channels[c].ring.next);
}
line[1023] = '\0';
INFO(NCCL_INIT, "Trees%s", line);
// Set Affinity to a CPU local the our GPU, so that all memory we allocate
// on the host is local.
NCCLCHECK(ncclTopoGetCpuAffinity(comm->topo, comm->rank, &comm->cpuAffinity));
cpu_set_t affinitySave;
if (CPU_COUNT(&comm->cpuAffinity)) {
sched_getaffinity(0, sizeof(cpu_set_t), &affinitySave);
sched_setaffinity(0, sizeof(cpu_set_t), &comm->cpuAffinity);
}
ncclResult_t ret;
NCCLCHECK(computeBuffSizes(comm));
// Connect with prev/next for each ring
for (int c=0; c<comm->nChannels; c++) {
struct ncclChannel* channel = comm->channels+c;
NCCLCHECKGOTO(setupChannel(comm, c, rank, nranks, rings+c*nranks), ret, affinity_restore);
if (comm->nRanks == 1) continue;
NCCLCHECKGOTO(ncclTransportP2pConnect(comm, channel, 1, &channel->ring.prev, 1, &channel->ring.next, 0), ret, affinity_restore);
}
NCCLCHECKGOTO(ncclTransportP2pSetup(comm, &ringGraph, 0), ret, affinity_restore);
free(rings);
INFO(NCCL_INIT, "Connected all rings");
// Connect Trees
for (int c=0; c<comm->nChannels; c++) {
struct ncclChannel* channel = comm->channels+c;
if (comm->nRanks == 1) continue;
NCCLCHECKGOTO(ncclTransportP2pConnect(comm, channel, NCCL_MAX_TREE_ARITY, channel->tree.down, 1, &channel->tree.up, 0), ret, affinity_restore);
NCCLCHECKGOTO(ncclTransportP2pConnect(comm, channel, 1, &channel->tree.up, NCCL_MAX_TREE_ARITY, channel->tree.down, 0), ret, affinity_restore);
}
NCCLCHECKGOTO(ncclTransportP2pSetup(comm, &treeGraph, 0), ret, affinity_restore);
INFO(NCCL_INIT, "Connected all trees");
// Check if we can setup CollNet
if (comm->collNetSupport > 0) {
int collNetSetupFail = 0;
// Find all head ranks
int nHeads = collNetGraph.nChannels;
int *heads;
NCCLCHECK(ncclCalloc(&heads, nHeads));
// Head GPU index is always 0
for (int c=0; c<nHeads; c++) {
heads[c] = collNetGraph.intra[c*comm->localRanks+0];
}
for (int c=0; c<comm->nChannels; c++) {
struct ncclChannel* channel = comm->channels+c;
for (int h=0; h<nHeads; h++) {
const int head = heads[h];
collNetSetupFail = ncclTransportCollNetSetup(comm, &collNetGraph, channel, head, head, h, collNetRecv);
if (!collNetSetupFail) collNetSetupFail = ncclTransportCollNetSetup(comm, &collNetGraph, channel, head, head, h, collNetSend);
}
// Verify CollNet setup across ranks after trying the first channel
if (c == 0) {
NCCLCHECKGOTO(ncclTransportCollNetCheck(comm, collNetSetupFail), ret, collnet_cleanup);
}
}
// Verify CollNet setup across ranks after trying all channels
NCCLCHECKGOTO(ncclTransportCollNetCheck(comm, collNetSetupFail), ret, collnet_cleanup);
TRACE(NCCL_INIT, "rank %d Connected inter-node CollNet", rank);
// Connect intra-node CollNet
for (int c=0; c<comm->nChannels; c++) {
struct ncclChannel* channelRecv = comm->channels+c;
NCCLCHECKGOTO(ncclTransportP2pConnect(comm, channelRecv, NCCL_MAX_DIRECT_ARITY, channelRecv->collTree.up, NCCL_MAX_DIRECT_ARITY, channelRecv->collTree.down, 0), ret, collnet_cleanup);
}
NCCLCHECKGOTO(ncclTransportP2pSetup(comm, &collNetGraph, 0), ret, collnet_cleanup);
for (int c=0; c<comm->nChannels; c++) {
struct ncclChannel* channelSend = comm->channels+c;
NCCLCHECKGOTO(ncclTransportP2pConnect(comm, channelSend, NCCL_MAX_DIRECT_ARITY, channelSend->collTree.down, NCCL_MAX_DIRECT_ARITY, channelSend->collTree.up, 1), ret, collnet_cleanup);
}
NCCLCHECKGOTO(ncclTransportP2pSetup(comm, &collNetGraph, 1), ret, collnet_cleanup);
INFO(NCCL_INIT, "rank %d Connected CollNet", rank);
collnet_cleanup:
free(heads);
if (ret != ncclSuccess) {
NCCLCHECK(ncclTransportCollNetFree(comm));
comm->collNetSupport = 0;
ret = ncclSuccess;
}
}
TRACE(NCCL_INIT, "rank %d nranks %d - CONNECTED %d RINGS AND TREES", rank, nranks, comm->nChannels);
// Compute time models for algorithm and protocol combinations
NCCLCHECK(ncclTopoTuneModel(comm, minCompCap, maxCompCap, &treeGraph, &ringGraph, &collNetGraph));
// Compute nChannels per peer for p2p
NCCLCHECK(ncclTopoComputeP2pChannels(comm));
if (ncclParamNvbPreconnect()) {
// Connect p2p when using NVB path
int nvbNpeers;
int* nvbPeers;
NCCLCHECK(ncclTopoGetNvbGpus(comm->topo, comm->rank, &nvbNpeers, &nvbPeers));
for (int r=0; r<nvbNpeers; r++) {
int peer = nvbPeers[r];
int delta = (comm->nRanks + (comm->rank-peer)) % comm->nRanks;
for (int c=0; c<comm->p2pnChannelsPerPeer; c++) {
int channelId = (delta+comm->p2pChannels[c]) % comm->p2pnChannels;
if (comm->channels[channelId].peers[peer].recv[0].connected == 0) { // P2P uses only 1 connector
comm->connectRecv[peer] |= (1<<channelId);
}
}
delta = (comm->nRanks - (comm->rank-peer)) % comm->nRanks;
for (int c=0; c<comm->p2pnChannelsPerPeer; c++) {
int channelId = (delta+comm->p2pChannels[c]) % comm->p2pnChannels;
if (comm->channels[channelId].peers[peer].send[0].connected == 0) { // P2P uses only 1 connector
comm->connectSend[peer] |= (1<<channelId);
}
}
}
NCCLCHECK(ncclTransportP2pSetup(comm, NULL, 0));
free(nvbPeers);
}
NCCLCHECK(ncclCommSetIntraProc(comm, intraProcRank, intraProcRanks, intraProcRank0Comm));
/* Local intra-node barrier */
NCCLCHECK(bootstrapBarrier(comm->bootstrap, intraNodeGlobalRanks, (int)intraNodeRank0pidHash, intraNodeRank, intraNodeRanks));
if (comm->nNodes) NCCLCHECK(ncclProxyCreate(comm));
// We should have allocated all buffers, collective fifos, ... we can
// restore the affinity.
affinity_restore:
if (CPU_COUNT(&comm->cpuAffinity)) sched_setaffinity(0, sizeof(cpu_set_t), &affinitySave);
if (ret != ncclSuccess) return ret;
TRACE(NCCL_INIT, "rank %d nranks %d - DONE", rank, nranks);
return ncclSuccess;
}
NCCL_PARAM(SetStackSize, "SET_STACK_SIZE", 0);
ncclResult_t ncclCommInitRankSync(ncclComm_t* newcomm, int nranks, ncclUniqueId commId, int myrank, int cudaDev) {
ncclResult_t res;
CUDACHECK(cudaSetDevice(cudaDev));
// Set the maximum kernel stack size of all kernels to avoid
// a CUDA memory reconfig on load (c.f. NVSHMEM issue)
if (maxLocalSizeBytes > 0 && ncclParamSetStackSize() == 1) {
TRACE(NCCL_INIT, "Setting cudaLimitStackSize to %zi", maxLocalSizeBytes);
CUDACHECKIGNORE(cudaDeviceSetLimit(cudaLimitStackSize, maxLocalSizeBytes));
}
NCCLCHECKGOTO(commAlloc(newcomm, nranks, myrank), res, cleanup);
NCCLCHECKGOTO(initTransportsRank(*newcomm, &commId), res, cleanup);
NCCLCHECKGOTO(devCommSetup(*newcomm), res, cleanup);
INFO(NCCL_INIT,"comm %p rank %d nranks %d cudaDev %d busId %lx - Init COMPLETE", *newcomm, myrank, nranks, (*newcomm)->cudaDev, (*newcomm)->busId);
return ncclSuccess;
cleanup:
if ((*newcomm) && (*newcomm)->bootstrap) bootstrapAbort((*newcomm)->bootstrap);
*newcomm = NULL;
return res;
}
static ncclResult_t ncclCommInitRankDev(ncclComm_t* newcomm, int nranks, ncclUniqueId commId, int myrank, int cudaDev) {
ncclResult_t res;
char* env = getenv("NCCL_COMM_ID");
if (env && myrank == 0) {
INFO(NCCL_ENV, "NCCL_COMM_ID set by environment to %s", env);
NCCLCHECKGOTO(bootstrapCreateRoot(&commId, true), res, end);
}
NCCLCHECKGOTO(ncclInit(), res, end);
if (myrank == 0) showVersion();
// Make sure the CUDA runtime is initialized.
CUDACHECKGOTO(cudaFree(NULL), res, end);
NCCLCHECKGOTO(PtrCheck(newcomm, "CommInitRank", "newcomm"), res, end);
if (nranks < 1 || myrank < 0 || myrank >= nranks) {
WARN("Invalid rank requested : %d/%d", myrank, nranks);
res = ncclInvalidArgument;
goto end;
}
if (ncclAsyncMode()) {
NCCLCHECKGOTO(ncclAsyncInit(ncclCommInitRankSync, newcomm, nranks, commId, myrank, cudaDev), res, end);
} else {
NCCLCHECKGOTO(ncclCommInitRankSync(newcomm, nranks, commId, myrank, cudaDev), res, end);
}
end:
if (ncclAsyncMode()) return ncclAsyncErrCheck(res);
else return res;
}
NCCL_API(ncclResult_t, ncclCommInitRank, ncclComm_t* newcomm, int nranks, ncclUniqueId commId, int myrank);
ncclResult_t ncclCommInitRank(ncclComm_t* newcomm, int nranks, ncclUniqueId commId, int myrank) {
NVTX3_FUNC_RANGE_IN(nccl_domain);
int cudaDev;
CUDACHECK(cudaGetDevice(&cudaDev));
NCCLCHECK(ncclCommInitRankDev(newcomm, nranks, commId, myrank, cudaDev));
return ncclSuccess;
}
NCCL_API(ncclResult_t, ncclCommInitAll, ncclComm_t* comms, int ndev, const int* devlist);
ncclResult_t ncclCommInitAll(ncclComm_t* comms, int ndev, const int* devlist) {
NVTX3_FUNC_RANGE_IN(nccl_domain);
NCCLCHECK(PtrCheck(comms, "CommInitAll", "comms"));
if (ndev < 0) {
WARN("Invalid device count requested : %d", ndev);
return ncclInvalidArgument;
}
ncclUniqueId uniqueId;
NCCLCHECK(ncclGetUniqueId(&uniqueId));
NCCLCHECK(ncclGroupStart());
for (int i=0; i<ndev; i++) {
// Ignore return codes .. we need to call ncclGroupEnd to clean up anyway
ncclCommInitRankDev(comms+i, ndev, uniqueId, i, devlist ? devlist[i] : i);
}
NCCLCHECK(ncclGroupEnd());
return ncclSuccess;
}
static ncclResult_t commDestroy(ncclComm_t comm) {
int savedDevice;
CUDACHECK(cudaGetDevice(&savedDevice));
int commDevice = comm->cudaDev;
if (savedDevice != commDevice) {
CUDACHECK(cudaSetDevice(commDevice));
}
TRACE(NCCL_INIT, "Destroying comm %p rank %d abortFlag %d fatalError %d", comm, comm->rank, *comm->abortFlag, comm->fatalError);
CUDACHECK(cudaStreamSynchronize(comm->groupStream));
NCCLCHECK(ncclProxyDestroy(comm));
NCCLCHECK(commFree(comm));
if (savedDevice != commDevice)
CUDACHECK(cudaSetDevice(savedDevice));
TRACE(NCCL_INIT, "Destroyed comm %p rank %d", comm, comm->rank);
return ncclSuccess;
}
NCCL_API(ncclResult_t, ncclCommDestroy, ncclComm_t comm);
ncclResult_t ncclCommDestroy(ncclComm_t comm) {
NVTX3_FUNC_RANGE_IN(nccl_domain);
if (comm == NULL)
return ncclSuccess;
TRACE(NCCL_INIT, "comm %p rank %d nRanks %d cudaDev %d busId %lx", comm, comm->rank, comm->nRanks, comm->cudaDev, comm->busId);
// Try and prevent a double free of the comm struct (user error)
if (comm->rank == -1 || comm->nRanks <= 0 || comm->cudaDev == -1 || comm->busId == -1) {
WARN("comm %p has already been destroyed", comm);
return ncclInvalidArgument;
}
return commDestroy(comm);
}
NCCL_API(ncclResult_t, ncclCommAbort, ncclComm_t comm);
ncclResult_t ncclCommAbort(ncclComm_t comm) {
NVTX3_FUNC_RANGE_IN(nccl_domain);
if (comm == NULL)
return ncclSuccess;
// Ask anything that might still be running on the device to quit
*comm->abortFlag = 1;
return commDestroy(comm);
}
NCCL_API(const char*, ncclGetErrorString, ncclResult_t code);
const char* ncclGetErrorString(ncclResult_t code) {
switch (code) {
case ncclSuccess : return "no error";
case ncclUnhandledCudaError : return "unhandled cuda error";
case ncclSystemError : return "unhandled system error";
case ncclInternalError : return "internal error";
case ncclInvalidArgument : return "invalid argument";
case ncclInvalidUsage : return "invalid usage";
default : return "unknown result code";
}
}
NCCL_API(ncclResult_t, ncclCommGetAsyncError, ncclComm_t comm, ncclResult_t *asyncError);
ncclResult_t ncclCommGetAsyncError(ncclComm_t comm, ncclResult_t *asyncError) {
NCCLCHECK(PtrCheck(comm, "ncclGetAsyncError", "comm"));
NCCLCHECK(PtrCheck(asyncError, "ncclGetAsyncError", "asyncError"));
*asyncError = comm->fatalError;
return ncclSuccess;
}
NCCL_API(ncclResult_t, ncclCommCount, const ncclComm_t comm, int* count);
ncclResult_t ncclCommCount(const ncclComm_t comm, int* count) {
NVTX3_FUNC_RANGE_IN(nccl_domain);
NCCLCHECK(PtrCheck(comm, "CommCount", "comm"));
NCCLCHECK(PtrCheck(count, "CommCount", "count"));
*count = comm->nRanks;
return ncclSuccess;
}
NCCL_API(ncclResult_t, ncclCommCuDevice, const ncclComm_t comm, int* devid);
ncclResult_t ncclCommCuDevice(const ncclComm_t comm, int* devid) {
NVTX3_FUNC_RANGE_IN(nccl_domain);
NCCLCHECK(PtrCheck(comm, "CommCuDevice", "comm"));
NCCLCHECK(PtrCheck(devid, "CommCuDevice", "devid"));
*devid = comm->cudaDev;
return ncclSuccess;
}
NCCL_API(ncclResult_t, ncclCommUserRank, const ncclComm_t comm, int* rank);
ncclResult_t ncclCommUserRank(const ncclComm_t comm, int* rank) {
NVTX3_FUNC_RANGE_IN(nccl_domain);
NCCLCHECK(PtrCheck(comm, "CommUserRank", "comm"));
NCCLCHECK(PtrCheck(rank, "CommUserRank", "rank"));
*rank = comm->rank;
return ncclSuccess;
}