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rocm-systems/projects/rccl/src/init.cc
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53 KiB
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Неформатований Звичайний вигляд Історія

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/*************************************************************************
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* Copyright (c) 2015-2020, NVIDIA CORPORATION. All rights reserved.
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* Modifications Copyright (c) 2019-2021 Advanced Micro Devices, Inc. All rights reserved.
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*
* See LICENSE.txt for license information
************************************************************************/
#include "nccl.h"
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#include "channel.h"
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#include "nvmlwrap.h"
#include "bootstrap.h"
#include "transport.h"
#include "group.h"
#include "net.h"
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#include "coll_net.h"
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#include "enqueue.h"
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#include "graph.h"
#include "argcheck.h"
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#include <fcntl.h>
#include <unistd.h>
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#include <hip/hip_runtime.h>
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#include <string.h>
#include <errno.h>
#include <assert.h>
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#include <dlfcn.h>
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#include <sys/types.h>
#include <sys/stat.h>
#include <unistd.h>
#include "graph/topo.h"
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// [RCCL]
#include "clique/CliqueManager.h"
// [/RCCL]
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#define STR2(v) #v
#define STR(v) STR2(v)
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#ifdef ENABLE_TRACE
std::chrono::high_resolution_clock::time_point ncclEpoch;
#endif
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#if CUDART_VERSION >= 9020 || defined(__HIP_PLATFORM_HCC__) || defined(__HCC__) || defined(__HIPCC__)
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#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
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const char* ncclFuncStr[NCCL_NUM_FUNCTIONS+1] = { "Broadcast", "Reduce", "AllGather", "ReduceScatter", "AllReduce", "SendRecv" };
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const char* ncclAlgoStr[NCCL_NUM_ALGORITHMS] = { "Tree", "Ring", "CollNet" };
const char* ncclProtoStr[NCCL_NUM_PROTOCOLS] = { "LL", "LL128", "Simple" };
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const char* ncclRedOpStr[ncclNumOps] = { "Sum", "Prod", "Max", "Min" };
const char *ncclTypeStr[ncclNumTypes] = {"_i8", "_u8", "_i32", "_u32", "_i64", "_u64", "_f16", "_f32", "_f64", "_b16"};
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NCCL_PARAM(GroupCudaStream, "GROUP_CUDA_STREAM", NCCL_GROUP_CUDA_STREAM);
NCCL_PARAM(CheckPointers, "CHECK_POINTERS", 0);
ncclNet_t* ncclNet = NULL;
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ncclCollNet_t* ncclCollNet = NULL;
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struct allocationTracker allocTracker[MAX_ALLOC_TRACK_NGPU] = {};
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// Returns ncclInternalError if anything fails, causing that network to be ignored.
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ncclResult_t initNet(ncclNet_t* net) {
int ndev;
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if (net->init(ncclDebugLog) != ncclSuccess) return ncclInternalError;
if (net->devices(&ndev) != ncclSuccess) return ncclInternalError;
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if (ndev <= 0) return ncclSystemError;
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return ncclSuccess;
}
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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("librccl-net.so", RTLD_NOW | RTLD_LOCAL);
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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 (librccl-net.so), using internal implementation");
} else {
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INFO(NCCL_INIT|NCCL_NET, "NET/Plugin : Plugin load returned %d : %s.", errno, dlerror());
}
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return ncclSuccess;
}
ncclNet_t* extNet = (ncclNet_t*) dlsym(netPluginLib, STR(NCCL_PLUGIN_SYMBOL));
if (extNet == NULL) {
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INFO(NCCL_INIT|NCCL_NET, "NET/Plugin: Failed to find " STR(NCCL_PLUGIN_SYMBOL) " symbol.");
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} else if (initNet(extNet) == ncclSuccess) {
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*net = extNet;
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// Check for CollNet
ncclCollNet_t* extCollNet = (ncclCollNet_t*) dlsym(netPluginLib, STR(NCCL_COLLNET_PLUGIN_SYMBOL));
if (extCollNet == NULL) {
INFO(NCCL_INIT|NCCL_NET, "NET/Plugin: Failed to find " STR(NCCL_COLLNET_PLUGIN_SYMBOL) " symbol.");
} else if (initCollNet(extCollNet) == ncclSuccess) {
*collnet = extCollNet;
}
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return ncclSuccess;
}
if (netPluginLib != NULL) dlclose(netPluginLib);
return ncclSuccess;
}
ncclResult_t initNet() {
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// Always initialize bootstrap network
NCCLCHECK(bootstrapNetInit());
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NCCLCHECK(initNetPlugin(&ncclNet, &ncclCollNet));
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if (ncclNet != NULL) return ncclSuccess;
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if (initNet(&ncclNetIb) == ncclSuccess) {
ncclNet = &ncclNetIb;
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} else {
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NCCLCHECK(initNet(&ncclNetSocket));
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ncclNet = &ncclNetSocket;
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}
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return ncclSuccess;
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}
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NCCL_PARAM(CollNetEnable, "COLLNET_ENABLE", 0);
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pthread_mutex_t initLock = PTHREAD_MUTEX_INITIALIZER;
static bool initialized = false;
static ncclResult_t ncclInit() {
if (initialized) return ncclSuccess;
pthread_mutex_lock(&initLock);
if (!initialized) {
initEnv();
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NCCLCHECK(initNet());
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INFO(NCCL_INIT, "Using network %s", ncclNetName());
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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);
}
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// Prevent compiler from optimizing out these operations
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#ifdef __clang__
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#define NCCL_NO_OPTIMIZE __attribute__((optnone))
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#else
#define NCCL_NO_OPTIMIZE __attribute__((optimize("O0")))
#endif
void NCCL_NO_OPTIMIZE commPoison(ncclComm_t comm) {
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comm->rank = comm->cudaDev = comm->busId = comm->nRanks = -1;
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}
RCCL_PARAM(KernelCollTraceEnable, "KERNEL_COLL_TRACE_ENABLE", 0);
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#ifdef ENABLE_COLLTRACE
void *ncclCommThreadMain(void *arg) {
ncclComm_t comm = (ncclComm_t)arg;
int head = comm->hostDevComm.collTraceHead;
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#define MAX_NAME_LENGTH 32
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char* func_names = (char *)malloc(MAX_NAME_LENGTH*(FUNC_INDEX_P2P+1));
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for (int func = 0; func < NCCL_NUM_FUNCTIONS; func++) {
for (int al = 0; al < NCCL_NUM_ALGORITHMS; al++) {
for (int type = 0; type < ncclNumTypes; type++) {
for (int pr = 0; pr < NCCL_NUM_PROTOCOLS; pr++) {
for (int redop = 0; redop < ncclNumOps; redop++) {
char* line = func_names+MAX_NAME_LENGTH*FUNC_INDEX(func, redop, type, al, pr);
sprintf(line, "%s%s%s%s%s", ncclFuncStr[func], ncclAlgoStr[al], ncclProtoStr[pr],
ncclRedOpStr[redop], ncclTypeStr[type]);
}
}
}
}
}
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char* line = func_names+MAX_NAME_LENGTH*FUNC_INDEX_P2P;
sprintf(line, "%s", ncclFuncStr[NCCL_NUM_FUNCTIONS]);
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do {
int tail = LOAD(comm->hostDevComm.collTraceTail)%COLLTRACE_NUM_ITEMS;
int count;
if (head <= tail)
count = tail - head;
else
count = COLLTRACE_NUM_ITEMS + head - tail;
if (!count) {
if(LOAD(&comm->hostDevComm.collTraceExit))
break;
else {
usleep(1000); //sleep 1ms
continue;
}
}
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for (int i = 0; i < count; i++) {
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struct ncclCollTrace *td = comm->hostDevComm.collTrace+head;
uint8_t type = LOAD(&(td->type));
if (type == ncclCollTraceNotReady)
break;
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char line[1024];
int offset = 0;
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uint16_t fIdx = td->funcIndex;
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#define VEGA_GPU_RTC_FREQUENCY 2.5E7
if (type == ncclCollTraceDataType) {
sprintf(line, "## [%12.6f] [%02d:%02d] L:%04d DT %08x %016lx %016lx",
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(double)(td->timeStamp)/VEGA_GPU_RTC_FREQUENCY, comm->rank, td->bid,
fIdx, td->data_0, td->opCount, td->data_1);
} else {
sprintf(line, "## [%12.6f] [%02d:%02d] %06lx",
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(double)(td->timeStamp)/VEGA_GPU_RTC_FREQUENCY, comm->rank, td->bid, td->opCount);
offset = strlen(line);
switch (type) {
case ncclCollTraceKernelLaunchType:
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sprintf(line+offset, " KL HWID %8x %s ",
td->data_0, func_names+MAX_NAME_LENGTH*fIdx);
offset = strlen(line);
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if (fIdx > FUNC_INDEX_P2P)
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sprintf(line+offset, "ERROR bad function index %d", fIdx);
else if (fIdx == FUNC_INDEX_P2P)
sprintf(line+offset, "nt %d dt %d", td->p2p.nThreads, td->p2p.delta);
else
sprintf(line+offset, "nt %d bi %d nc %d", td->coll.nThreads, td->coll.bid, td->coll.nChannels);
break;
case ncclCollTraceCollEndType:
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if (fIdx != 0xffff) {
sprintf(line+offset, " CE %s ", func_names+MAX_NAME_LENGTH*fIdx);
offset = strlen(line);
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if (fIdx > FUNC_INDEX_P2P)
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sprintf(line+offset, "ERROR bad function index %d", fIdx);
else if (fIdx == FUNC_INDEX_P2P)
sprintf(line+offset, "nt %d dt %d", td->p2p.nThreads, td->p2p.delta);
else
sprintf(line+offset, "nt %d bi %d nc %d", td->coll.nThreads, td->coll.bid, td->coll.nChannels);
}
else
sprintf(line+offset, " KE");
break;
case ncclCollTraceAbortType:
sprintf(line+offset, " Abort");
break;
default:
sprintf(line+offset, " unknown collective trace data type");
break;
}
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}
INFO(NCCL_COLL, "%s", line);
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STORE(&(td->type), ncclCollTraceNotReady);
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head ++;
head %= COLLTRACE_NUM_ITEMS;
}
} while(1);
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free(func_names);
comm->hostDevComm.collTraceHead = head;
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pthread_exit(NULL);
}
#endif
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#undef NCCL_NO_OPTIMIZE
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static ncclResult_t commFree(ncclComm_t comm) {
if (comm == NULL)
return ncclSuccess;
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free(comm->connectSend);
free(comm->connectRecv);
free(comm->p2pSends);
free(comm->p2pRecvs);
free(comm->asyncOps);
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#ifdef ENABLE_PROFILING
struct ncclProf* prof = (struct ncclProf*)malloc(sizeof(struct ncclProf));
CUDACHECK(hipMemcpy(prof, comm->hostDevComm.devProf, sizeof(struct ncclProf), hipMemcpyDeviceToHost));
uint64_t wait_cycle = 0, wait_recv_cycle = 0;
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for (int chan=0; chan<comm->nChannels; chan++) {
wait_cycle += prof->wait_cycle[chan];
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wait_recv_cycle += prof->wait_recv_cycle[chan];
}
#define VEGA_GPU_RTC_FREQUENCY 2.5E7
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if (comm->rank == 0) {
INFO(NCCL_INIT, "# %4s %6s %6s %6s %6s %6s %7s %6s %6s %6s %6s %6s", "Rank", "total", " wait", "w_recv", "send", "rcRdS", "dRcRdCS", "dRcCS", "dRc", "cS", "rc", "rcCS");
INFO(NCCL_INIT, "# %4s %6s %6s %6s %6s %6s %7s %6s %6s %6s %6s %6s", "", "(s)", "(s)", "(s)", "(GB/s)", "(GB/s)", "(GB/s)", "(GB/s)", "(GB/s)", "(GB/s)", "(GB/s)", "(GB/s)");
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}
INFO(NCCL_INIT, "# %4d %6.4f %6.4f %6.4f %6.2f %6.2f %7.2f %6.2f %6.2f %6.2f %6.2f %6.2f",
comm->rank, (double)prof->total_cycle/VEGA_GPU_RTC_FREQUENCY/comm->nChannels,
(double)wait_cycle/VEGA_GPU_RTC_FREQUENCY/comm->nChannels,
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(double)wait_recv_cycle/VEGA_GPU_RTC_FREQUENCY/comm->nChannels,
(prof->send_cycle) ? (double)prof->send_byte*comm->nChannels/((double)prof->send_cycle/VEGA_GPU_RTC_FREQUENCY*1.0E9) : 0,
(prof->recvReduceSend_cycle) ? (double)prof->recvReduceSend_byte*comm->nChannels/((double)prof->recvReduceSend_cycle/VEGA_GPU_RTC_FREQUENCY*1.0E9) : 0,
(prof->directRecvReduceCopySend_cycle) ? (double)prof->directRecvReduceCopySend_byte*comm->nChannels/((double)prof->directRecvReduceCopySend_cycle/VEGA_GPU_RTC_FREQUENCY*1.0E9) : 0,
(prof->directRecvCopySend_cycle) ? (double)prof->directRecvCopySend_byte*comm->nChannels/((double)prof->directRecvCopySend_cycle/VEGA_GPU_RTC_FREQUENCY*1.0E9) : 0,
(prof->directRecv_cycle) ? (double)prof->directRecv_byte*comm->nChannels/((double)prof->directRecv_cycle/VEGA_GPU_RTC_FREQUENCY*1.0E9) : 0,
(prof->copySend_cycle) ? (double)prof->copySend_byte*comm->nChannels/((double)prof->copySend_cycle/VEGA_GPU_RTC_FREQUENCY*1.0E9) : 0,
(prof->recv_cycle) ? (double)prof->recv_byte*comm->nChannels/((double)prof->recv_cycle/VEGA_GPU_RTC_FREQUENCY*1.0E9) : 0,
(prof->recvCopySend_cycle) ? (double)prof->recvCopySend_byte*comm->nChannels/((double)prof->recvCopySend_cycle/VEGA_GPU_RTC_FREQUENCY*1.0E9) : 0);
free(prof);
CUDACHECK(hipFree(comm->hostDevComm.devProf));
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for (int channel=0; channel<std::max(comm->nChannels, comm->p2pnChannels); channel++) {
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if (comm->channels[channel].send_byte) INFO(NCCL_INIT, "# [%03d:%02d] Proxy Send %6.2f GB/s (%ld bytes %d measurements)",
comm->rank, channel, (comm->channels[channel].bw_count) ?
(float)comm->channels[channel].bw_cumulative/comm->channels[channel].bw_count : 0,
comm->channels[channel].send_byte, comm->channels[channel].bw_count);
if (comm->channels[channel].recv_byte) INFO(NCCL_INIT, "# [%03d:%02d] Proxy Recv %6.2f GB/s (%ld bytes %d measurements)",
comm->rank, channel, (comm->channels[channel].bw_count) ?
(float)comm->channels[channel].bw_cumulative/comm->channels[channel].bw_count : 0,
comm->channels[channel].recv_byte, comm->channels[channel].bw_count);
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}
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#endif
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#ifdef ENABLE_COLLTRACE
STORE(&comm->hostDevComm.collTraceExit, 1);
if (comm->hostDevComm.collTraceThread) pthread_join(comm->hostDevComm.collTraceThread, NULL);
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NCCLCHECK(ncclCudaHostFree((void *)comm->hostDevComm.collTrace));
NCCLCHECK(ncclCudaHostFree((void *)comm->hostDevComm.collTraceTail));
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#endif
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free(comm->peerInfo);
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ncclTopoFree(comm->topo);
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if (comm->bootstrap)
NCCLCHECK(bootstrapClose(comm->bootstrap));
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CUDACHECK(hipFree(comm->hostDevComm.channels));
CUDACHECK(hipFree(comm->devComm));
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for (int channel=0; channel<MAXCHANNELS; channel++)
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NCCLCHECK(freeChannel(comm->channels+channel, comm->nRanks));
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if (comm->doneEvent != NULL)
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CUDACHECK(hipEventDestroy(comm->doneEvent));
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if (comm->launchMode == ncclComm::GROUP) {
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CUDACHECK(hipStreamDestroy(comm->groupStream));
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}
// 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);
}
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NCCLCHECK(ncclCudaHostFree((void *)comm->abortFlag));
NCCLCHECK(ncclCudaHostFree((void *)comm->p2pNet));
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// Poison comm to try and catch a double free
commPoison(comm);
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free(comm);
return ncclSuccess;
}
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RCCL_PARAM(ForceEnableClique, "FORCE_ENABLE_CLIQUE", 0);
RCCL_PARAM(P2pNetDisable, "P2P_NET_DISABLE", 0);
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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.
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hipEvent_t doneEvent;
CUDACHECK(hipEventCreateWithFlags(&doneEvent, hipEventDisableTiming));
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struct ncclComm* comm;
NCCLCHECK(ncclCalloc(&comm, 1));
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comm->rank = comm->hostDevComm.rank = rank;
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comm->nRanks = comm->hostDevComm.nRanks = ndev;
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hipGetDevice(&comm->cudaDev);
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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);
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comm->doneEvent = doneEvent;
comm->checkPointers = ncclParamCheckPointers() == 1 ? true : false;
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#if CUDART_VERSION >= 9020 || defined(__HIP_PLATFORM_HCC__) || defined(__HCC__) || defined(__HIPCC__)
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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
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comm->fatalError = ncclSuccess;
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NCCLCHECK(ncclCudaHostCalloc((uint32_t**)&comm->abortFlag, 1));
comm->hostDevComm.abortFlag = comm->abortFlag;
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STORE(comm->abortFlag, 0);
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NCCLCHECK(ncclCudaHostCalloc((uint32_t**)&comm->p2pNet, 1));
comm->hostDevComm.p2pNet = comm->p2pNet;
STORE(comm->p2pNet, 0);
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comm->argsptr = &comm->args;
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#ifdef ENABLE_PROFILING
NCCLCHECK(ncclCudaCalloc(&comm->hostDevComm.devProf, 1));
#endif
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#ifdef ENABLE_COLLTRACE
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NCCLCHECK(ncclCudaHostCalloc(&comm->hostDevComm.collTraceTail, 1));
NCCLCHECK(ncclCudaHostCalloc(&comm->hostDevComm.collTrace, COLLTRACE_NUM_ITEMS));
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memset(comm->hostDevComm.collTrace, 0, sizeof(struct ncclCollTrace) * COLLTRACE_NUM_ITEMS);
comm->hostDevComm.collTraceExit = comm->hostDevComm.collTraceHead = *comm->hostDevComm.collTraceTail = 0;
if ((ncclDebugLevel >= NCCL_LOG_INFO) && rcclParamKernelCollTraceEnable())
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pthread_create(&comm->hostDevComm.collTraceThread, NULL, ncclCommThreadMain, (void *)comm);
else
comm->hostDevComm.collTraceThread = 0;
#endif
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comm->collNetSupport = 0;
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NCCLCHECK(ncclCalloc(&comm->asyncOps, NCCL_MAX_OPS));
comm->asyncOpCount = 0;
comm->asyncTotalSize = 0;
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));
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// Mark channels as non initialized.
for (int c=0; c<MAXCHANNELS; c++) comm->channels[c].id = -1;
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*comret = comm;
return ncclSuccess;
}
static ncclResult_t devCommSetup(ncclComm_t comm) {
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// Duplicate the channels on the device
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NCCLCHECK(ncclCudaCalloc(&comm->hostDevComm.channels, std::max(comm->nChannels, comm->p2pnChannels)));
NCCLCHECK(ncclCudaMemcpy(comm->hostDevComm.channels, comm->channels, std::max(comm->nChannels, comm->p2pnChannels)));
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// Copy userRanks and peers
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for (int r=0; r<std::max(comm->nChannels, comm->p2pnChannels); r++) {
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NCCLCHECK(ncclCudaMemcpy(comm->channels[r].ring.devUserRanks, comm->channels[r].ring.userRanks, comm->nRanks));
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}
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// Duplicate the dev comm on the device
NCCLCHECK(ncclCudaCalloc(&comm->devComm, 1));
NCCLCHECK(ncclCudaMemcpy(comm->devComm, &comm->hostDevComm, 1));
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return ncclSuccess;
}
// Pre-process the string so that running "strings" on the lib can quickly reveal the version.
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#if defined(__HIP_PLATFORM_HCC__) || defined(__HCC__) || defined(__HIPCC__)
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#define VERSION_STRING "RCCL version " STR(NCCL_MAJOR) "." STR(NCCL_MINOR) "." STR(NCCL_PATCH) NCCL_SUFFIX "+hip" STR(HIP_VERSION_MAJOR) "." STR(HIP_VERSION_MINOR)
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#else
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#define VERSION_STRING "NCCL version " STR(NCCL_MAJOR) "." STR(NCCL_MINOR) "." STR(NCCL_PATCH) NCCL_SUFFIX "+cuda" STR(CUDA_MAJOR) "." STR(CUDA_MINOR)
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#endif
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static void showVersion() {
static int shown = 0;
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if (shown == 0 && ncclDebugLevel >= NCCL_LOG_VERSION) {
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printf("%s\n", VERSION_STRING);
fflush(stdout);
if (ncclDebugFile != stdout)
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INFO(NCCL_ALL,"%s", VERSION_STRING); // Also log NCCL version in one of the files
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shown = 1;
}
}
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static ncclResult_t fillInfo(struct ncclComm* comm, struct ncclPeerInfo* info, uint64_t commHash) {
info->rank = comm->rank;
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CUDACHECK(hipGetDevice(&info->cudaDev));
info->hostHash=getHostHash()+commHash;
info->pidHash=getPidHash()+commHash;
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// 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;
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NCCLCHECK(ncclGpuGdrSupport(&info->gdrSupport));
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return ncclSuccess;
}
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static ncclResult_t setupChannel(struct ncclComm* comm, int channelId, int rank, int nranks, int* ringRanks) {
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TRACE(NCCL_INIT, "rank %d nranks %d", rank, nranks);
NCCLCHECK(initChannel(comm, channelId));
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struct ncclRing* ring = &comm->channels[channelId].ring;
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// Reorganize ranks to start with rank.
int shift;
for (shift = 0; shift<nranks; shift++) {
if (ringRanks[shift] == rank) {
break;
}
}
for (int i=0; i<nranks; i++) {
ring->userRanks[i] = ringRanks[(i+shift)%nranks];
}
return ncclSuccess;
}
void* waitForNonNullPtr(void* p) {
volatile void** ptr = (volatile void**) p;
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while (LOAD(ptr) == NULL) sched_yield();
return (void*)(LOAD(ptr));
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}
ncclResult_t initParams(struct ncclComm* comm) {
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hipLaunchParams* params = comm->myParams = comm->intraParams+comm->intraRank;
params->args = (void **)&comm->argsptr;
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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 ncclCommSetIntra(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));
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*CC = ncclCudaCompCap();
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comm->intraCC = CC;
} else {
comm->intraBarrier = (int*)waitForNonNullPtr(&comm0->intraBarrier);
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comm->intraParams = (hipLaunchParams*)waitForNonNullPtr(&comm0->intraParams);
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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));
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int cgMdLaunch = 1;
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// Set CG Mode
comm->launchMode = ncclComm::GROUP;
char* str = getenv("NCCL_LAUNCH_MODE");
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if (str) INFO(NCCL_ENV, "NCCL_LAUNCH_MODE set by environment to %s", str);
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if (comm->intraRanks == 1 || (str && strcmp(str, "PARALLEL") == 0)) {
comm->launchMode = ncclComm::PARALLEL;
}
if (comm->launchMode == ncclComm::GROUP) {
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CUDACHECK(hipStreamCreateWithFlags(&comm->groupStream, hipStreamNonBlocking));
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if (*comm->intraCC && (ncclCudaCompCap() == *comm->intraCC)) {
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// Check whether the GPU supports Cooperative Group Multi Device Launch
hipError_t ret = hipDeviceGetAttribute(&cgMdLaunch, hipDeviceAttributeCooperativeMultiDeviceLaunch, comm->cudaDev);
if (ret != hipSuccess) {
INFO(NCCL_INIT, "hipDeviceGetAttribute(hipDeviceAttributeCooperativeMultiDeviceLaunch, %d) failed with %s",
comm->cudaDev, hipGetErrorString(ret));
return ncclInternalError;
}
if (!cgMdLaunch) {
INFO(NCCL_INIT, "Multi-GPU cooperative launch support not available for device %d", comm->cudaDev);
}
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}
}
// Disable cgMdLaunch if any rank does not support it
if (cgMdLaunch == 0) {
*comm->intraCGMode = 0x10;
}
return ncclSuccess;
}
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#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))
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#define DEFAULT_BUFFSIZE (1 << 22) /* 4MiB */
#define DEFAULT_BUFFSIZE_ARM (1 << 20) /* 1MiB */
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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];
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}
return ncclSuccess;
}
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extern struct ncclTransport collNetTransport;
// All ranks must participate in collNetSetup call
// type: 0 for send, 1 for recv
// return: 0 - unsupported, 1 - supported
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// We do not NCCLCHECK this call because we would fall back to P2P network in case CollNet setup fails
static int collNetSetup(struct ncclComm* comm, struct ncclTopoGraph* collNetGraph, struct ncclChannel* channel, int rank, int nranks, int masterRank, int masterPeer, int nMasters, int type) {
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int rankInCollNet = -1;
int supported = 0;
int isMaster = (rank == masterRank) ? 1 : 0;
struct {
int collNetRank;
ncclConnect connect;
} sendrecvExchange;
// check if we can connect to collnet, whose root is the nranks-th rank
struct ncclPeerInfo *myInfo = comm->peerInfo+rank, *peerInfo = comm->peerInfo+nranks;
peerInfo->rank = nranks;
int ret = 1;
if (isMaster) {
NCCLCHECK(collNetTransport.canConnect(&ret, comm->topo, collNetGraph, myInfo, peerInfo));
}
// send master receives connect info from peer recv master
if (isMaster && type == 0) {
NCCLCHECK(bootstrapRecv(comm->bootstrap, masterPeer, &sendrecvExchange, sizeof(sendrecvExchange)));
rankInCollNet = sendrecvExchange.collNetRank;
INFO(NCCL_INIT, "CollNet [send] : rank %d collNetRank %d collNetNranks %d received connect from rank %d", rank, rankInCollNet, nMasters, masterPeer);
}
// select
struct ncclPeer* root = channel->peers+nranks;
struct ncclConnector* conn = (type == 1) ? &root->recv : &root->send;
struct ncclTransportComm* transportComm = (type == 1) ? &(collNetTransport.recv) : &(collNetTransport.send);
conn->transportComm = transportComm;
// setup
struct ncclConnect myConnect;
if (isMaster && ret > 0) {
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NCCLCHECK(transportComm->setup(comm, collNetGraph, myInfo, peerInfo, &myConnect, conn, channel->id));
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}
// prepare connect handles
ncclResult_t res;
struct {
int isMaster;
ncclConnect connect;
} *allConnects = NULL;
ncclConnect *masterConnects = NULL;
NCCLCHECK(ncclCalloc(&masterConnects, nMasters));
if (type == 1) { // recv side: AllGather
// all ranks must participate
NCCLCHECK(ncclCalloc(&allConnects, nranks));
allConnects[rank].isMaster = isMaster;
memcpy(&(allConnects[rank].connect), &myConnect, sizeof(struct ncclConnect));
NCCLCHECKGOTO(bootstrapAllGather(comm->bootstrap, allConnects, sizeof(*allConnects)), res, cleanup);
// consolidate
int c = 0;
for (int r = 0; r < nranks; r++) {
if (allConnects[r].isMaster) {
memcpy(masterConnects+c, &(allConnects[r].connect), sizeof(struct ncclConnect));
if (r == rank) rankInCollNet = c;
c++;
}
}
} else { // send side : copy in connect info received from peer recv master
if (isMaster) memcpy(masterConnects+rankInCollNet, &(sendrecvExchange.connect), sizeof(struct ncclConnect));
}
// connect
if (isMaster && ret > 0) {
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NCCLCHECKGOTO(transportComm->connect(comm, masterConnects, nMasters, rankInCollNet, conn), res, cleanup);
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struct ncclPeer* devRoot = channel->devPeers+nranks;
struct ncclConnector* devConn = (type == 1) ? &devRoot->recv : &devRoot->send;
CUDACHECKGOTO(hipMemcpy(devConn, conn, sizeof(struct ncclConnector), hipMemcpyHostToDevice), res, cleanup);
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}
// recv side sends connect info to send side
if (isMaster && type == 1) {
sendrecvExchange.collNetRank = rankInCollNet;
memcpy(&sendrecvExchange.connect, masterConnects+rankInCollNet, sizeof(struct ncclConnect));
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NCCLCHECKGOTO(bootstrapSend(comm->bootstrap, masterPeer, &sendrecvExchange, sizeof(sendrecvExchange)), res, cleanup);
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INFO(NCCL_INIT, "CollNet [recv] : rank %d collNetRank %d collNetNranks %d sent connect to rank %d", rank, rankInCollNet, nMasters, masterPeer);
}
if (ret > 0) {
supported = 1;
}
cleanup:
if (allConnects != NULL) free(allConnects);
if (masterConnects != NULL) free(masterConnects);
return supported;
}
static ncclResult_t checkCollNetSetup(struct ncclComm* comm, int rank, int collNetSetupFail) {
int nranks = comm->nRanks;
// AllGather collNet setup results
int* allGatherFailures;
NCCLCHECK(ncclCalloc(&allGatherFailures, nranks));
allGatherFailures[rank] = collNetSetupFail;
NCCLCHECK(bootstrapAllGather(comm->bootstrap, allGatherFailures, sizeof(int)));
for (int i=0; i<nranks; i++) {
if (allGatherFailures[i] != 0) {
collNetSetupFail = 1;
break;
}
}
free(allGatherFailures);
if (collNetSetupFail) {
if (rank == 0) WARN("Cannot initialize CollNet, using %s instead", ncclNetName());
// Free collNet resources
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for (int r=0; r<comm->collNetnChannels; r++) {
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struct ncclChannel* channel = comm->channels+r;
struct ncclPeer* peer = channel->peers+nranks;
if (peer->send.transportResources && peer->send.transportComm) NCCLCHECK(peer->send.transportComm->free(peer->send.transportResources));
if (peer->recv.transportResources && peer->recv.transportComm) NCCLCHECK(peer->recv.transportComm->free(peer->recv.transportResources));
peer->send.transportResources = NULL; // avoid double free
peer->recv.transportResources = NULL; // avoid double free
}
// Set support to 0
comm->collNetSupport = 0;
} else {
comm->collNetSupport = 1;
}
return ncclSuccess;
}
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NCCL_PARAM(CrossNic, "CROSS_NIC", 2);
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NCCL_PARAM(GraphDumpFileRank, "GRAPH_DUMP_FILE_RANK", 0);
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static ncclResult_t initTransportsRank(struct ncclComm* comm, ncclUniqueId* commId) {
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// We use 2 AllGathers
// 1. { peerInfo, comm, compCap}
// 2. { nChannels, graphInfo, topoRanks }
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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);
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// [RCCL] Collect the PID of the root
int rootPid;
NCCLCHECK(bootstrapInit(commId, rank, nranks, &comm->bootstrap, &rootPid));
// [/RCCL]
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// AllGather1 - begin
struct {
struct ncclPeerInfo peerInfo;
struct ncclComm* comm;
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int cudaCompCap;
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} *allGather1Data;
NCCLCHECK(ncclCalloc(&allGather1Data, nranks));
allGather1Data[rank].comm = comm;
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allGather1Data[rank].cudaCompCap = ncclCudaCompCap();
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struct ncclPeerInfo* myInfo = &allGather1Data[rank].peerInfo;
NCCLCHECK(fillInfo(comm, myInfo, commHash));
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NCCLCHECK(bootstrapAllGather(comm->bootstrap, allGather1Data, sizeof(*allGather1Data)));
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NCCLCHECK(ncclCalloc(&comm->peerInfo, nranks+1)); // Extra rank to represent CollNet root
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for (int i = 0; i < nranks; i++) {
memcpy(comm->peerInfo+i, &allGather1Data[i].peerInfo, sizeof(struct ncclPeerInfo));
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if ((i != rank) && (comm->peerInfo[i].hostHash == myInfo->hostHash) && (comm->peerInfo[i].busId == myInfo->busId)) {
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WARN("Duplicate GPU detected : rank %d and rank %d both on CUDA device %lx", rank, i, myInfo->busId);
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return ncclInvalidUsage;
}
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}
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// Compute intra ranks and minimum CUDA Compute capabilities of intra-node GPUs and all GPUs
int intraRank0 = -1, intraRank = -1, intraRanks = 0;
int myCompCap = allGather1Data[rank].cudaCompCap;
int minCompCap = myCompCap, maxCompCap = myCompCap;
uint64_t otherHostHash;
int tmpNnodes = 1;
for (int i = 0; i < nranks; i++) {
if (allGather1Data[i].peerInfo.hostHash == allGather1Data[rank].peerInfo.hostHash) {
if (allGather1Data[i].peerInfo.pidHash == allGather1Data[rank].peerInfo.pidHash) {
if (intraRanks == 0) intraRank0 = i;
if (i == rank) intraRank = intraRanks;
intraRanks++;
}
} else { // Determine whether number of nodes is 2 (for use in tree pattern determination)
if (tmpNnodes == 1) {
otherHostHash = allGather1Data[i].peerInfo.hostHash;
tmpNnodes = 2;
} else if (tmpNnodes == 2 && otherHostHash != allGather1Data[i].peerInfo.hostHash) {
tmpNnodes = 3;
}
}
minCompCap = std::min(allGather1Data[i].cudaCompCap, minCompCap);
maxCompCap = std::max(allGather1Data[i].cudaCompCap, maxCompCap);
}
TRACE(NCCL_INIT,"hostHash[%d] %lx intraRank %d intraRanks %d intraRank0 %d",
rank, allGather1Data[rank].peerInfo.hostHash, intraRank, intraRanks, intraRank0);
if (intraRank == -1 || intraRank0 == -1 || allGather1Data[intraRank0].comm == NULL) {
WARN("Failed to determine intra ranks hostHash[%d] %lx intraRank %d intraRanks %d intraRank0 %d",
rank, allGather1Data[rank].peerInfo.hostHash, intraRank, intraRanks, intraRank0);
return ncclInternalError;
}
struct ncclComm* intraRank0Comm = allGather1Data[intraRank0].comm;
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// AllGather1 - end
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// Topo detection / System graph creation
NCCLCHECK(ncclTopoGetSystem(comm, &comm->topo));
// save nRanks to ncclTopoSystem as indicator of multi-node
comm->topo->nRanks = comm->nRanks;
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// 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));
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// Init search
NCCLCHECK(ncclTopoSearchInit(comm->topo));
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// Print final topology
NCCLCHECK(ncclTopoPrint(comm->topo));
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// 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 = tmpNnodes <= 2 ? NCCL_TOPO_PATTERN_TREE : NCCL_TOPO_PATTERN_BALANCED_TREE;
treeGraph.crossNic = ncclParamCrossNic();
treeGraph.collNet = 0;
treeGraph.minChannels = comm->topo->nodes[NET].count != 0 ? 1 : ringGraph.nChannels;
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));
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{ // [RCCL] Check if clique-based kernels can be enabled and initialize CliqueManager
CliqueManager::cliqueMode_t cliqueMode = CliqueManager::CLIQUE_DISABLED;
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if (comm->localRanks == comm->nRanks)
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{
// Check that all the GPUs have peer access to one another
bool hasPeerAccess = true;
for (int i = 0; i < nranks && hasPeerAccess; i++)
{
int cudaDev1 = allGather1Data[i].peerInfo.cudaDev;
for (int j = 0; j < nranks; j++)
{
if (i == j) continue;
int cudaDev2 = allGather1Data[j].peerInfo.cudaDev;
int p2p;
if (hipDeviceCanAccessPeer(&p2p, cudaDev1, cudaDev2) != hipSuccess || !p2p)
{
hasPeerAccess = false;
break;
}
}
}
if (hasPeerAccess)
{
if (intraRanks == nranks)
cliqueMode = CliqueManager::CLIQUE_SINGLE_PROCESS;
else
cliqueMode = CliqueManager::CLIQUE_SINGLE_NODE;
}
// For now, only enable clique-based kernels on CR8_G topologies, unless explicitly asked
if (!rcclParamForceEnableClique())
{
// Disable clique-kernel support if not on CR8 topology
if (!(comm->topo->nodes[GPU].count == comm->topo->nRanks && (comm->topo->type & RCCL_TOPO_CR8G)))
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{
INFO(NCCL_INIT, "Disabling clique-based kernels due to topology (force enable with RCCL_FORCE_ENABLE_CLIQUE)");
cliqueMode = CliqueManager::CLIQUE_DISABLED;
}
}
}
comm->cliqueManager = new CliqueManager(rank, nranks, cliqueMode);
NCCLCHECK(comm->cliqueManager->Init(commId, rootPid));
} // [/RCCL]
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if (comm->rank == ncclParamGraphDumpFileRank()) {
struct ncclTopoGraph* graphs[3] = { &ringGraph, &treeGraph, &collNetGraph };
NCCLCHECK(ncclTopoDumpGraphs(comm->topo, 3, graphs));
}
if ((comm->topo->type & RCCL_TOPO_4P2H_ROME) && (comm->topo->type & RCCL_TOPO_GDR_ALL)) {
if (rcclParamP2pNetDisable() == 0) {
STORE(comm->p2pNet, 1);
INFO(NCCL_INIT, "RCCL enabled same node P2P over network");
}
else
INFO(NCCL_INIT, "RCCL force disabled same node P2P over network");
}
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// AllGather3 - begin
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struct ncclGraphInfo {
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int pattern;
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int sameChannels;
float speedIntra;
float speedInter;
int typeIntra;
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int typeInter;
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};
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struct {
int cudaCompCap;
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int fullCudaCompCap;
int nChannels;
int nc;
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struct ncclGraphInfo tree;
struct ncclGraphInfo ring;
struct ncclGraphInfo collNet;
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struct ncclTopoRanks topoRanks;
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} *allGather3Data;
NCCLCHECK(ncclCalloc(&allGather3Data, nranks));
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int idx;
NCCLCHECK(ncclTopoIdToIndex(comm->topo, GPU, myInfo->busId, &idx));
allGather3Data[rank].cudaCompCap = comm->topo->nodes[GPU].nodes[idx].gpu.cudaCompCap;
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allGather3Data[rank].nChannels = comm->nChannels = treeGraph.nChannels = ringGraph.nChannels =
std::min(treeGraph.nChannels, ringGraph.nChannels);
allGather3Data[rank].nc = comm->nChannels*2;
if (comm->topo->nodes[GPU].nodes[idx].gpu.gcn == 908) allGather3Data[rank].nc = std::max(allGather3Data[rank].nc, 4);
if (comm->topo->nodes[GPU].count == comm->topo->nRanks && (comm->topo->type & RCCL_TOPO_CR8G))
allGather3Data[rank].nc = comm->nChannels*4;
if (comm->topo->nodes[GPU].count != comm->topo->nRanks && comm->topo->nodes[NET].count && (comm->topo->type & RCCL_TOPO_4P2H_ROME))
allGather3Data[rank].nc = (comm->topo->nodes[NET].count > 3 ? 2 : 4)*comm->topo->nodes[NET].count;
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if (comm->topo->nodes[GPU].count == comm->topo->nRanks && comm->topo->nodes[GPU].nodes[idx].gpu.gcn == 910)
allGather3Data[rank].nc = comm->nChannels*6;
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allGather3Data[rank].tree.pattern = treeGraph.pattern;
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allGather3Data[rank].tree.sameChannels = treeGraph.sameChannels;
allGather3Data[rank].tree.speedIntra = treeGraph.speedIntra;
allGather3Data[rank].tree.speedInter = treeGraph.speedInter;
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allGather3Data[rank].tree.typeIntra = treeGraph.typeIntra;
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allGather3Data[rank].tree.typeInter = treeGraph.typeInter;
allGather3Data[rank].ring.pattern = ringGraph.pattern;
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allGather3Data[rank].ring.sameChannels = ringGraph.sameChannels;
allGather3Data[rank].ring.speedIntra = ringGraph.speedIntra;
allGather3Data[rank].ring.speedInter = ringGraph.speedInter;
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allGather3Data[rank].ring.typeIntra = ringGraph.typeIntra;
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allGather3Data[rank].ring.typeInter = ringGraph.typeInter;
allGather3Data[rank].collNet.pattern = collNetGraph.pattern;
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allGather3Data[rank].collNet.sameChannels = collNetGraph.sameChannels;
allGather3Data[rank].collNet.speedIntra = collNetGraph.speedIntra;
allGather3Data[rank].collNet.speedInter = collNetGraph.speedInter;
allGather3Data[rank].collNet.typeIntra = collNetGraph.typeIntra;
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allGather3Data[rank].collNet.typeInter = collNetGraph.typeInter;
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// CollNet channels are already duplicated
comm->collNetnChannels = 2*collNetGraph.nChannels;
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NCCLCHECK(ncclTopoPreset(comm, &treeGraph, &ringGraph, &collNetGraph, &allGather3Data[rank].topoRanks));
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NCCLCHECK(bootstrapAllGather(comm->bootstrap, allGather3Data, sizeof(*allGather3Data)));
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// Determine nNodes, firstRanks, ...
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int *nodesFirstRank, *nodesTreePatterns;
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NCCLCHECK(ncclCalloc(&nodesFirstRank, nranks));
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NCCLCHECK(ncclCalloc(&nodesTreePatterns, nranks));
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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;
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// Record tree pattern of each node as they can be different depending on sm arch
nodesTreePatterns[node] = allGather3Data[i].tree.pattern;
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}
if (i == comm->rank) comm->node = node;
}
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int nChannelsOrig = comm->nChannels;
struct ncclTopoRanks** allTopoRanks;
NCCLCHECK(ncclCalloc(&allTopoRanks, comm->nRanks));
int nc = allGather3Data[0].nc;
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for (int i=0; i<nranks; i++) {
allTopoRanks[i] = &allGather3Data[i].topoRanks;
nc = std::min(allGather3Data[i].nc, nc);
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// Make sure we align all ranks so that the tuning is consistent across ranks
treeGraph.nChannels = ringGraph.nChannels = comm->nChannels = std::min(allGather3Data[i].nChannels, comm->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);
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treeGraph.typeIntra = std::min(allGather3Data[i].tree.typeIntra, treeGraph.typeIntra);
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treeGraph.typeInter = std::min(allGather3Data[i].tree.typeInter, treeGraph.typeInter);
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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);
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ringGraph.typeIntra = std::min(allGather3Data[i].ring.typeIntra, ringGraph.typeIntra);
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ringGraph.typeInter = std::min(allGather3Data[i].ring.typeInter, ringGraph.typeInter);
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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);
2020-09-04 14:35:05 -07:00
collNetGraph.typeInter = std::min(allGather3Data[i].collNet.typeInter, collNetGraph.typeInter);
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}
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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));
2018-09-24 16:06:59 -07:00
}
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2018-09-24 16:06:59 -07:00
int *rings;
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NCCLCHECK(ncclCalloc(&rings, nranks*MAXCHANNELS));
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NCCLCHECK(ncclTopoPostset(comm, nodesFirstRank, nodesTreePatterns, allTopoRanks, rings, nc));
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if (comm->nNodes > 1 &&
ncclParamCollNetEnable() == 1 &&
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collNetSupport() && collNetGraph.nChannels) {
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NCCLCHECK(ncclTopoConnectCollNet(comm, &collNetGraph, rank));
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} else {
comm->collNetnChannels = 0;
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}
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free(allTopoRanks);
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free(nodesTreePatterns);
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free(nodesFirstRank);
free(allGather1Data);
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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++) {
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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 %d : %d -> %d -> %d", c, comm->channels[c].ring.prev, comm->rank, comm->channels[c].ring.next);
2019-11-19 14:57:39 -08:00
}
line[1023] = '\0';
INFO(NCCL_INIT, "Trees%s", line);
2018-09-24 16:06:59 -07:00
2020-01-16 16:02:42 -08:00
// Set Affinity to a CPU local the our GPU, so that all memory we allocate
// on the host is local.
cpu_set_t affinitySave;
sched_getaffinity(0, sizeof(cpu_set_t), &affinitySave);
NCCLCHECK(ncclTopoSetAffinity(comm->topo, comm->rank));
ncclResult_t ret;
2020-05-12 14:40:18 -07:00
NCCLCHECK(computeBuffSizes(comm));
2018-09-24 16:06:59 -07:00
// Connect with prev/next for each ring
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for (int c=0; c<comm->nChannels; c++) {
struct ncclChannel* channel = comm->channels+c;
2020-01-16 16:02:42 -08:00
NCCLCHECKGOTO(setupChannel(comm, c, rank, nranks, rings+c*nranks), ret, affinity_restore);
2019-11-19 14:57:39 -08:00
if (comm->nRanks == 1) continue;
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NCCLCHECKGOTO(ncclTransportP2pConnect(comm, channel, 1, &channel->ring.prev, 1, &channel->ring.next), ret, affinity_restore);
2020-01-16 16:02:42 -08:00
}
2020-09-04 14:35:05 -07:00
NCCLCHECKGOTO(ncclTransportP2pSetup(comm, &ringGraph), ret, affinity_restore);
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), ret, affinity_restore);
NCCLCHECKGOTO(ncclTransportP2pConnect(comm, channel, 1, &channel->tree.up, NCCL_MAX_TREE_ARITY, channel->tree.down), ret, affinity_restore);
2020-01-16 16:02:42 -08:00
}
2020-09-04 14:35:05 -07:00
NCCLCHECKGOTO(ncclTransportP2pSetup(comm, &treeGraph), ret, affinity_restore);
INFO(NCCL_INIT, "Connected all trees");
2020-01-16 16:02:42 -08:00
// Check if we can setup CollNet
if (comm->nNodes > 1 &&
ncclParamCollNetEnable() == 1 &&
2020-05-12 14:40:18 -07:00
collNetSupport() && collNetGraph.nChannels) {
2021-03-25 20:59:32 -07:00
for (int c=comm->nChannels; c<comm->collNetnChannels; c++)
NCCLCHECK(initChannel(comm, c));;
2021-03-19 12:58:13 -07:00
int logicChannels = comm->collNetnChannels/2;
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int collNetSetupFail = 0;
const int recvIndex = 0; // recv GPU index is always 0
const int sendIndex = collNetGraph.pattern == NCCL_TOPO_PATTERN_TREE ? 0 : 1; // send GPU index depends on topo pattern
for (int c=0; c<logicChannels; c++) {
struct ncclChannel* channelRecv = comm->channels+logicChannels+c;
struct ncclChannel* channelSend = comm->channels+c;
2020-09-04 14:35:05 -07:00
NCCLCHECK(ncclTransportP2pConnect(comm, channelRecv, 1, &channelRecv->collTree.up, 1, channelRecv->collTree.down));
NCCLCHECK(ncclTransportP2pConnect(comm, channelSend, 1, channelSend->collTree.down, 1, &channelSend->collTree.up));
2020-01-16 16:02:42 -08:00
const int recvMaster = collNetGraph.intra[c*comm->localRanks+recvIndex];
const int sendMaster = collNetGraph.intra[c*comm->localRanks+sendIndex];
2020-05-12 14:40:18 -07:00
if (collNetSetup(comm, &collNetGraph, channelRecv, rank, nranks, recvMaster, sendMaster, comm->nNodes, 1) != 1)
2020-01-16 16:02:42 -08:00
collNetSetupFail = 1;
2020-05-12 14:40:18 -07:00
else if (collNetSetup(comm, &collNetGraph, channelSend, rank, nranks, sendMaster, recvMaster, comm->nNodes, 0) != 1)
2020-01-16 16:02:42 -08:00
collNetSetupFail = 1;
}
2020-09-04 14:35:05 -07:00
NCCLCHECK(ncclTransportP2pSetup(comm, &collNetGraph));
2020-01-16 16:02:42 -08:00
// Verify CollNet setup across ranks
NCCLCHECK(checkCollNetSetup(comm, rank, collNetSetupFail));
2019-11-19 14:57:39 -08:00
}
TRACE(NCCL_INIT, "rank %d nranks %d - CONNECTED %d RINGS AND TREES", rank, nranks, comm->nChannels);
2018-12-13 15:56:12 -08:00
free(rings);
2018-09-24 16:06:59 -07:00
2020-09-04 14:35:05 -07:00
// Compute time models for algorithm and protocol combinations
NCCLCHECK(ncclTopoTuneModel(comm, minCompCap, maxCompCap, &treeGraph, &ringGraph, &collNetGraph));
2020-05-12 14:40:18 -07:00
// Compute nChannels per peer for p2p
NCCLCHECK(ncclTopoComputeP2pChannels(comm));
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NCCLCHECK(ncclCommSetIntra(comm, intraRank, intraRanks, intraRank0Comm));
2018-10-24 14:44:59 -07:00
2020-05-12 14:40:18 -07:00
if (comm->nNodes) NCCLCHECK(ncclProxyCreate(comm));
2018-12-13 15:56:12 -08:00
// We should have allocated all buffers, collective fifos, ... we can
// restore the affinity.
affinity_restore:
sched_setaffinity(0, sizeof(cpu_set_t), &affinitySave);
if (ret != ncclSuccess) return ret;
2018-12-13 15:56:12 -08:00
TRACE(NCCL_INIT, "rank %d nranks %d - DONE", rank, nranks);
2018-09-24 16:06:59 -07:00
return ncclSuccess;
}
2019-11-19 14:57:39 -08:00
ncclResult_t ncclCommInitRankSync(ncclComm_t* newcomm, int nranks, ncclUniqueId commId, int myrank, int cudaDev) {
2018-09-24 16:06:59 -07:00
ncclResult_t res;
CUDACHECK(hipSetDevice(cudaDev));
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NCCLCHECKGOTO(commAlloc(newcomm, nranks, myrank), res, cleanup);
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NCCLCHECKGOTO(initTransportsRank(*newcomm, &commId), res, cleanup);
NCCLCHECKGOTO(devCommSetup(*newcomm), res, cleanup);
2021-03-06 20:32:30 -08:00
INFO(NCCL_INIT,"comm %p rank %d nranks %d cudaDev %d busId %lx used %ld bytes - Init COMPLETE", *newcomm, myrank, nranks, (*newcomm)->cudaDev, (*newcomm)->busId, allocTracker[(*newcomm)->cudaDev].totalAllocSize);
2018-10-24 14:44:59 -07:00
2018-09-24 16:06:59 -07:00
return ncclSuccess;
cleanup:
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if ((*newcomm) && (*newcomm)->bootstrap) bootstrapAbort((*newcomm)->bootstrap);
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*newcomm = NULL;
return res;
}
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static ncclResult_t ncclCommInitRankDev(ncclComm_t* newcomm, int nranks, ncclUniqueId commId, int myrank, int cudaDev) {
ncclResult_t res;
2018-09-24 16:06:59 -07:00
char* env = getenv("NCCL_COMM_ID");
if (env && myrank == 0) {
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INFO(NCCL_ENV, "NCCL_COMM_ID set by environment to %s", env);
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NCCLCHECKGOTO(bootstrapCreateRoot(&commId, true), res, end);
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}
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NCCLCHECKGOTO(ncclInit(), res, end);
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if (myrank == 0) showVersion();
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memset(allocTracker+cudaDev, 0, sizeof(struct allocationTracker));
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// Make sure the CUDA runtime is initialized.
CUDACHECKGOTO(hipFree(NULL), res, end);
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2019-11-19 14:57:39 -08:00
NCCLCHECKGOTO(PtrCheck(newcomm, "CommInitRank", "newcomm"), res, end);
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if (nranks < 1 || myrank < 0 || myrank >= nranks) {
WARN("Invalid rank requested : %d/%d", myrank, nranks);
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res = ncclInvalidArgument;
goto end;
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}
if (ncclAsyncMode()) {
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NCCLCHECKGOTO(ncclAsyncInit(ncclCommInitRankSync, newcomm, nranks, commId, myrank, cudaDev), res, end);
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} else {
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NCCLCHECKGOTO(ncclCommInitRankSync(newcomm, nranks, commId, myrank, cudaDev), res, end);
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}
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end:
if (ncclAsyncMode()) return ncclAsyncErrCheck(res);
else return res;
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}
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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) {
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NVTX3_FUNC_RANGE_IN(nccl_domain);
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int cudaDev;
CUDACHECK(hipGetDevice(&cudaDev));
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NCCLCHECK(ncclCommInitRankDev(newcomm, nranks, commId, myrank, cudaDev));
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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) {
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NVTX3_FUNC_RANGE_IN(nccl_domain);
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NCCLCHECK(PtrCheck(comms, "CommInitAll", "comms"));
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if (ndev < 0) {
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WARN("Invalid device count requested : %d", ndev);
return ncclInvalidArgument;
}
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ncclUniqueId uniqueId;
NCCLCHECK(ncclGetUniqueId(&uniqueId));
NCCLCHECK(ncclGroupStart());
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for (int i=0; i<ndev; i++) {
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// Ignore return codes .. we need to call ncclGroupEnd to clean up anyway
ncclCommInitRankDev(comms+i, ndev, uniqueId, i, devlist ? devlist[i] : i);
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}
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NCCLCHECK(ncclGroupEnd());
return ncclSuccess;
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}
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static ncclResult_t commDestroy(ncclComm_t comm) {
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int savedDevice;
#ifdef ENABLE_TRACE
int rank = comm->rank;
#endif
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CUDACHECK(hipGetDevice(&savedDevice));
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int commDevice = comm->cudaDev;
if (savedDevice != commDevice) {
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CUDACHECK(hipSetDevice(commDevice));
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}
TRACE(NCCL_INIT, "Destroying comm %p rank %d abortFlag %d fatalError %d", comm, comm->rank, LOAD(comm->abortFlag), comm->fatalError);
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CUDACHECK(hipStreamSynchronize(comm->groupStream));
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NCCLCHECK(ncclProxyDestroy(comm));
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NCCLCHECK(commFree(comm));
if (savedDevice != commDevice)
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CUDACHECK(hipSetDevice(savedDevice));
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TRACE(NCCL_INIT, "Destroyed comm %p rank %d", comm, rank);
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return ncclSuccess;
}
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NCCL_API(ncclResult_t, ncclCommDestroy, ncclComm_t comm);
ncclResult_t ncclCommDestroy(ncclComm_t comm) {
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NVTX3_FUNC_RANGE_IN(nccl_domain);
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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);
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// Try and prevent a double free of the comm struct (user error)
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if (comm->rank == -1 || comm->nRanks <= 0 || comm->cudaDev == -1 || comm->busId == -1) {
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WARN("comm %p has already been destroyed", comm);
return ncclInvalidArgument;
}
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// [RCCL] Delete CliqueManager if it exists
if (comm->cliqueManager) delete comm->cliqueManager;
// [/RCCL]
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return commDestroy(comm);
}
NCCL_API(ncclResult_t, ncclCommAbort, ncclComm_t comm);
ncclResult_t ncclCommAbort(ncclComm_t comm) {
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NVTX3_FUNC_RANGE_IN(nccl_domain);
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if (comm == NULL)
return ncclSuccess;
// Ask anything that might still be running on the device to quit
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STORE(comm->abortFlag, 1);
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// do not destroy comm because kernel maybe still running
// return commDestroy(comm);
return ncclSuccess;
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}
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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";
}
}
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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;
}
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NCCL_API(ncclResult_t, ncclCommCount, const ncclComm_t comm, int* count);
ncclResult_t ncclCommCount(const ncclComm_t comm, int* count) {
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NVTX3_FUNC_RANGE_IN(nccl_domain);
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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) {
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NVTX3_FUNC_RANGE_IN(nccl_domain);
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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) {
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NVTX3_FUNC_RANGE_IN(nccl_domain);
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NCCLCHECK(PtrCheck(comm, "CommUserRank", "comm"));
NCCLCHECK(PtrCheck(rank, "CommUserRank", "rank"));
*rank = comm->rank;
return ncclSuccess;
}