93fdcb160c
* Force ring in WarpSpeed manual mode and log event * Skip usage for non-ring in WarpSpeed auto mode * Enable WarpSpeed when its CU count is set
3231 строка
132 KiB
C++
3231 строка
132 KiB
C++
/*************************************************************************
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* Copyright (c) 2015-2022, NVIDIA CORPORATION. All rights reserved.
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* Modifications Copyright (c) 2019-2023 Advanced Micro Devices, Inc. All rights reserved.
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* Modifications Copyright (c) Microsoft Corporation. Licensed under the MIT License.
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*
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* See LICENSE.txt for license information
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************************************************************************/
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#include "nccl.h"
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#include "channel.h"
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#include "nvmlwrap.h"
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#include "gdrwrap.h"
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#include "bootstrap.h"
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#include "transport.h"
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#include "group.h"
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#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"
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#include "argcheck.h"
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#include "device.h"
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#include "collectives.h"
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#if defined(ENABLE_NPKIT)
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#include "npkit/npkit.h"
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#endif
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#include "tuner.h"
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#include "ras.h"
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#include "profiler.h"
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#include "mnnvl.h"
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#include <fcntl.h>
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#include <unistd.h>
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#include <hip/hip_runtime.h>
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#include <string.h>
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#include <errno.h>
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#include <assert.h>
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#include <dlfcn.h>
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#include <sys/types.h>
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#include <sys/stat.h>
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#include <unistd.h>
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#include "graph/topo.h"
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#include "graph/xml.h"
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#include "archinfo.h"
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#include "param.h"
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#include "nvtx_payload_schemas.h"
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#include "utils.h"
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// [RCCL]
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#include "git_version.h"
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#include "rccl_vars.h"
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#include "hip_rocm_version_info.h"
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//#include <hsa/hsa_ext_amd.h>
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#ifdef ENABLE_MSCCLPP
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#include "mscclpp/mscclpp_nccl.h"
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#endif
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#include "rocm_smi_wrap.h"
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#include "rccl_common.h"
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// [/RCCL]
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#include "msccl/msccl_lifecycle.h"
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#include "msccl/msccl_status.h"
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#include "latency_profiler/CollTrace.h"
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#include "latency_profiler/CollTraceFunc.h"
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#ifndef STR2
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#define STR2(v) #v
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#endif
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#ifndef STR
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#define STR(v) STR2(v)
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#endif
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#if CUDART_VERSION >= 9020 || defined(__HIP_PLATFORM_AMD__) || 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
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#else
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#define NCCL_GROUP_CUDA_STREAM 1 // CGMD: CUDA 9.0,9.1 Need to use an internal CUDA stream
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#endif
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using namespace rccl;
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const char* ncclFuncStr[NCCL_NUM_FUNCTIONS+2] = { "AllGather", "AllReduce", "AllToAllPivot", "Broadcast", "Reduce", "ReduceScatter", "SendRecv"};
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const char* ncclAlgoStr[NCCL_NUM_ALGORITHMS] = { "Tree", "Ring", "CollNetDirect", "CollNetChain", "NVLS", "NVLSTree", "PAT" };
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const char* ncclProtoStr[NCCL_NUM_PROTOCOLS] = { "LL", "LL128", "Simple" };
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const char* ncclDevRedOpStr[ncclNumDevRedOps] = { "Sum", "Prod", "MinMax", "PreMulSum", "SumPostDiv" };
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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);
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NCCL_PARAM(CheckPointers, "CHECK_POINTERS", 0);
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NCCL_PARAM(CommBlocking, "COMM_BLOCKING", NCCL_CONFIG_UNDEF_INT);
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NCCL_PARAM(RuntimeConnect, "RUNTIME_CONNECT", 1);
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NCCL_PARAM(WinEnable, "WIN_ENABLE", 1);
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NCCL_PARAM(CollnetEnable, "COLLNET_ENABLE", NCCL_CONFIG_UNDEF_INT);
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NCCL_PARAM(CtaPolicy, "CTA_POLICY", NCCL_CONFIG_UNDEF_INT);
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NCCL_PARAM(NvlsChannels, "NVLS_NCHANNELS", NCCL_CONFIG_UNDEF_INT);
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struct allocationTracker allocTracker[MAX_ALLOC_TRACK_NGPU] = {};
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ncclResult_t commReclaim(ncclComm_t comm);
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#ifdef ENABLE_MSCCLPP
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size_t std::hash<ncclUniqueId>::operator ()(const ncclUniqueId& uniqueId) const noexcept {
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return (size_t)getHash(uniqueId.internal, NCCL_UNIQUE_ID_BYTES);
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}
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bool operator ==(const ncclUniqueId& a, const ncclUniqueId& b) {
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return memcmp(a.internal, b.internal, NCCL_UNIQUE_ID_BYTES) == 0;
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}
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RCCL_PARAM(MscclppThreshold, "MSCCLPP_THRESHOLD", (size_t)(16*1024*1024));
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#endif
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static constexpr int64_t defaultEnableMscclpp = 0;
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RCCL_PARAM(MscclppEnabled, "MSCCLPP_ENABLE", defaultEnableMscclpp);
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RCCL_PARAM(MscclppForceEnabled, "MSCCLPP_FORCE_ENABLE", 0);
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// Turn off cheap fence for gfx942/gfx950
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RCCL_PARAM(Gfx9CheapFenceOff, "GFX9_CHEAP_FENCE_OFF", 0);
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// GDRCOPY support: Off by default
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NCCL_PARAM(GdrCopyEnable, "GDRCOPY_ENABLE", 0);
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// GDRCOPY support
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gdr_t ncclGdrCopy = NULL;
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ncclResult_t initGdrCopy() {
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if (ncclParamGdrCopyEnable() == 1) {
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ncclGdrCopy = ncclGdrInit();
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}
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return ncclSuccess;
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}
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static ncclResult_t initResult = ncclSuccess;
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static pthread_once_t initOnceControl = PTHREAD_ONCE_INIT;
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ncclResult_t checkHsaEnvSetting() {
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// get user-specified value for `HSA_NO_SCRATCH_RECLAIM`
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const char* hsaScratchEnv = getenv("HSA_NO_SCRATCH_RECLAIM");
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int hipRuntimeVersion = 0;
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// hipVer is an integer e.g., 6.2.41133 -> 60241133
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CUDACHECK(hipRuntimeGetVersion(&hipRuntimeVersion));
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// using rocm-smi API to query FW version, instead of parsing CLI output
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// will switch to amd-smi API soon
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const int firmwareVersion = parseFirmwareVersion();
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hipDeviceProp_t devProp;
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// use GPU0 should be good enough
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CUDACHECK(hipGetDeviceProperties(&devProp, 0));
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INFO(NCCL_INIT, "Hipruntime version: %d, firmware version: %d", hipRuntimeVersion, firmwareVersion);
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if (!validHsaScratchEnvSetting(hsaScratchEnv, hipRuntimeVersion, firmwareVersion, devProp.gcnArchName)) {
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// Always print out this warning message
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ERROR("HSA_NO_SCRATCH_RECLAIM=1 must be set to avoid performance degradation with the current HIP configuration. (Runtime version:%d, GPU Firmware version:%d)", hipRuntimeVersion, firmwareVersion);
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ERROR("Please set HSA_NO_SCRATCH_RECLAIM=1 and rerun.");
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return ncclSystemError;
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}
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return ncclSuccess;
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}
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// Fail the job if build flag HIP_HOST_UNCACHED_MEMORY is not set on mi350x
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ncclResult_t checkHostUncacheMemSetting(struct ncclComm* comm) {
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#if defined(HIP_HOST_UNCACHED_MEMORY)
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return ncclSuccess;
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#else
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if( IsArchMatch(comm->topo->nodes[GPU].nodes[0].gpu.gcn, "gfx950") ){
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ERROR("Build flag HIP_HOST_UNCACHED_MEMORY must be set to avoid memory corruption on mi350x");
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return ncclSystemError;
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}
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else {
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return ncclSuccess;
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}
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#endif
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}
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static void initOnceFunc() {
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NCCLCHECKGOTO(checkHsaEnvSetting(), initResult, exit);
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initEnv();
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initGdrCopy();
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// Always initialize bootstrap network
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NCCLCHECKGOTO(bootstrapNetInit(), initResult, exit);
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#ifndef NVTX_NO_IMPL
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initNvtxRegisteredEnums();
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#endif
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exit:;
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}
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static ncclResult_t ncclInit() {
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char strValue[2048];
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NCCLCHECK(ncclTopoGetStrFromSys("/proc/sys/kernel", "numa_balancing", strValue));
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if (strcmp(strValue, "1") == 0)
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WARN("NUMA auto balancing enabled which can lead to variability in the RCCL performance! Disable by \"sudo sysctl kernel.numa_balancing=0\"");
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NCCLCHECK(ncclTopoGetStrFromSys("/proc", "version", strValue));
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char *verStr, *state;
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verStr = strtok_r(strValue, " ", &state);
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for (int i = 0; i < 2; i ++) {
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verStr = strtok_r(NULL, " ", &state);
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if (verStr == NULL) break;
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}
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INFO(NCCL_INIT, "Kernel version: %s", verStr);
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if (strstr(verStr, "cray") == NULL) {
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NCCLCHECK(ncclTopoGetStrFromSys("/sys/devices/virtual/dmi/id", "bios_version", strValue));
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if (strncmp("Hyper-V UEFI Release", strValue, 20) != 0) {
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FILE* file;
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if ((file = fopen("/proc/cmdline", "r")) != NULL) {
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if (feof(file) == 0 && ferror(file) == 0) {
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int len = fread(strValue, 1, 2047, file);
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strValue[len] = '\0';
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}
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fclose(file);
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}
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if (strstr(strValue, "iommu=pt") == NULL)
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WARN("Missing \"iommu=pt\" from kernel command line which can lead to system instablity or hang!");
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}
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#ifndef HIP_UNCACHED_MEMORY
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char *env = getenv("HSA_FORCE_FINE_GRAIN_PCIE");
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if (env == NULL || strcmp(env, "1") != 0)
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WARN("Missing \"HSA_FORCE_FINE_GRAIN_PCIE=1\" from environment which can lead to low RCCL performance, system instablity or hang!");
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#endif
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}
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pthread_once(&initOnceControl, initOnceFunc);
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return initResult;
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}
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NCCL_API(ncclResult_t, ncclGetVersion, int* version);
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ncclResult_t ncclGetVersion_impl(int* version) {
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Recorder::instance().record("GetVersion");
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if (version == NULL) return ncclInvalidArgument;
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*version = NCCL_VERSION_CODE;
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return ncclSuccess;
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}
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NCCL_API(ncclResult_t, ncclGetUniqueId, ncclUniqueId* out);
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ncclResult_t ncclGetUniqueId_impl(ncclUniqueId* out) {
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NCCLCHECK(ncclInit());
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NCCLCHECK(PtrCheck(out, "GetUniqueId", "out"));
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struct ncclBootstrapHandle handle;
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NCCLCHECK(bootstrapGetUniqueId(&handle));
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// ncclUniqueId and bootstrapHandle don't have the same size and alignment
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// reset to 0 to avoid undefined data
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memset(out, 0, sizeof(*out));
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// copy to avoid alignment mismatch
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memcpy(out, &handle, sizeof(handle));
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Recorder::instance().record(rrGetUniqueId, -1, -1, out);
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TRACE_CALL("ncclGetUniqueId(0x%llx)", (unsigned long long)getHash(out->internal, NCCL_UNIQUE_ID_BYTES));
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return ncclSuccess;
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}
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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
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#define NCCL_NO_OPTIMIZE __attribute__((optimize("O0")))
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#endif
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void NCCL_NO_OPTIMIZE commPoison(ncclComm_t comm) {
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// Important that this does not trash intraComm0.
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comm->rank = comm->cudaDev = comm->busId = comm->nRanks = -1;
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comm->startMagic = comm->endMagic = 0;
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}
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RCCL_PARAM_DECLARE(EnableProxyTrace);
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RCCL_PARAM(EnableProxyTrace, "ENABLE_PROXY_TRACE", 0);
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RCCL_PARAM(KernelCollTraceEnable, "KERNEL_COLL_TRACE_ENABLE", 0);
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RCCL_PARAM(KernelCollTraceThreadEnable, "KERNEL_COLL_TRACE_THREAD_ENABLE", 0);
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RCCL_PARAM(EnableContextTracking, "ENABLE_CONTEXT_TRACKING", 0);
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#ifdef ENABLE_COLLTRACE
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// Should be in sync with 'ALL_COLLS' in Generator.cmake
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void *ncclCommThreadMain(void *arg) {
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ncclComm_t comm = (ncclComm_t)arg;
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int head[MAXCHANNELS];
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double vega_gpu_rtc_freq;
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vega_gpu_rtc_freq = GetDeviceWallClockRateInKhz(comm->cudaDev) * 1.0E3;
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for (int channel = 0; channel < MAXCHANNELS; channel++) {
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int tail = comm->collTraceTail[channel].tail;
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if (tail < COLLTRACE_NUM_ITEMS)
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head[channel] = 0;
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else
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head[channel] = tail - COLLTRACE_NUM_ITEMS;
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}
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do {
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int numActiveChans = MAXCHANNELS;
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for (int channel = 0; channel < MAXCHANNELS; channel++) {
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int tail = comm->collTraceTail[channel].tail;
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int count;
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count = tail - head[channel];
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if (count == 0) {
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numActiveChans--;
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continue;
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}
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for (int i = 0; i < count; i++) {
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volatile struct ncclCollTrace *td = comm->collTrace+COLLTRACE_NUM_ITEMS*channel+head[channel]%COLLTRACE_NUM_ITEMS;
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head[channel] ++;
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const uint8_t type = td->type;
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if (type == ncclCollTraceNotReady)
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continue;
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char line[1024];
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int offset = 0;
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const uint16_t fIdx = td->funcIndex;
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if (type == ncclCollTraceDataType) {
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sprintf(line, "## [%012.6f] [%02d:%02d-%02d:%02x] L:%04d DT %08x %016lx %016lx",
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(double)(td->timeStamp)/vega_gpu_rtc_freq, comm->rank, td->bid, td->channelId, td->tid, fIdx, td->data_0, td->opCount, td->data_1);
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} else {
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if (type & ncclCollTraceP2pElemType)
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sprintf(line, "## [%012.6f] [%02d:%02d-%02d:%02x] %06x-%06x", (double)(td->timeStamp)/vega_gpu_rtc_freq, comm->rank, td->bid, td->channelId, td->tid, td->p2pOpCount[0], td->p2pOpCount[1]);
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else
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sprintf(line, "## [%012.6f] [%02d:%02d-%02d:%02x] %06lx", (double)(td->timeStamp)/vega_gpu_rtc_freq, comm->rank, td->bid, td->channelId, td->tid, td->opCount);
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offset = strlen(line);
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if (type == ncclCollTraceCollElemType) {
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sprintf(line+offset, " CE %s nw %d bi %d nc %d root %d busId %lx nRanks %d", funcNames[fIdx], td->coll.nWarps, td->coll.bid, td->coll.nChannels, td->coll.root, comm->busId, comm->nRanks);
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} else if (type == ncclCollTraceP2pElemType) {
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sprintf(line+offset, " Recv %d -> %d/%d/%d/%d ConnIdx/LL/Reg/nc %d/%d/%d/%d -> Send %d cb %d busId %lx nRanks %d",
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td->p2p.recvRank, td->p2p.recvConnIndex, td->p2p.recvProtoLL, td->p2p.recvRegistered, td->p2p.nRecvChannels, td->p2p.sendConnIndex, td->p2p.sendProtoLL, td->p2p.sendRegistered, td->p2p.nSendChannels, td->p2p.sendRank, td->p2p.channelBase,
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comm->busId, comm->nRanks);
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} else {
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switch (type&0xf) {
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case ncclCollTraceKernelLaunchType:
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case ncclCollTraceCollLaunchType:
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if ((type&0xf) == ncclCollTraceKernelLaunchType)
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sprintf(line+offset, " KL %s [%02d:%02d-%02d:%02x] HWID %8x ", funcNames[fIdx], comm->rank, td->bid, td->channelId, td->tid, td->data_0);
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else if ((type&0xf) == ncclCollTraceCollLaunchType)
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sprintf(line+offset, " CL %s [%02d:%02d-%02d:%02x] %d ", funcNames[fIdx], comm->rank, td->bid, td->channelId, td->tid, td->batchIx);
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offset = strlen(line);
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if ((type&0xf0) == ncclCollTraceCollElemType)
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sprintf(line+offset, " nw %d bi %d nc %d root %d busId %lx nRanks %d", td->coll.nWarps, td->coll.bid, td->coll.nChannels, td->coll.root, comm->busId, comm->nRanks);
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else if ((type&0xf0) == ncclCollTraceP2pElemType)
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sprintf(line+offset, " Recv %d -> %d/%d/%d/%d ConnIdx/LL/Reg/nc %d/%d/%d/%d -> Send %d cb %d busId %lx nRanks %d",
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td->p2p.recvRank, td->p2p.recvConnIndex, td->p2p.recvProtoLL, td->p2p.recvRegistered, td->p2p.nRecvChannels, td->p2p.sendConnIndex, td->p2p.sendProtoLL, td->p2p.sendRegistered, td->p2p.nSendChannels, td->p2p.sendRank, td->p2p.channelBase,
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comm->busId, comm->nRanks);
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break;
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case ncclCollTraceKernelEndType:
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sprintf(line+offset, " KE %s [%02d:%02d-%02d:%02x] busId %lx nRanks %d", funcNames[fIdx], comm->rank, td->bid, td->channelId, td->tid, comm->busId, comm->nRanks);
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break;
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case ncclCollTraceAbortType:
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sprintf(line+offset, " KA %s [%02d:%02d-%02d:%02x]", funcNames[fIdx], comm->rank, td->bid, td->channelId, td->tid);
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break;
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default:
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sprintf(line+offset, " unknown collective trace data type");
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break;
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}
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}
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}
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INFO(NCCL_COLL, "%s td->type:%d", line, type);
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td->type = ncclCollTraceNotReady;
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}
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}
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if (comm->collTraceExit && numActiveChans == 0)
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break;
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usleep(1000); //sleep 1ms
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} while(true);
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if (comm->collTraceThread)
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pthread_exit(NULL);
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else
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return 0;
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}
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#endif
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#undef NCCL_NO_OPTIMIZE
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static ncclResult_t ncclDestructorFnFree(struct ncclDestructor* dtor) {
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free(dtor->obj);
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return ncclSuccess;
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}
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void ncclCommPushFree(struct ncclComm* comm, void* obj) {
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struct ncclDestructor* dtor = ncclMemoryStackAlloc<struct ncclDestructor>(&comm->memPermanent);
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dtor->fn = ncclDestructorFnFree;
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dtor->obj = obj;
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dtor->next = comm->destructorHead;
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comm->destructorHead = dtor;
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}
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static ncclResult_t ncclDestructorFnCudaFree(struct ncclDestructor* dtor) {
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NCCLCHECK(ncclCudaFree(dtor->obj));
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return ncclSuccess;
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}
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void ncclCommPushCudaFree(struct ncclComm* comm, void* obj) {
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struct ncclDestructor* dtor = ncclMemoryStackAlloc<struct ncclDestructor>(&comm->memPermanent);
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dtor->fn = ncclDestructorFnCudaFree;
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dtor->obj = obj;
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dtor->next = comm->destructorHead;
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comm->destructorHead = dtor;
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}
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|
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static ncclResult_t ncclDestructorFnCudaHostFree(struct ncclDestructor* dtor) {
|
|
NCCLCHECK(ncclCudaHostFree(dtor->obj));
|
|
return ncclSuccess;
|
|
}
|
|
void ncclCommPushCudaHostFree(struct ncclComm* comm, void* obj) {
|
|
struct ncclDestructor* dtor = ncclMemoryStackAlloc<struct ncclDestructor>(&comm->memPermanent);
|
|
dtor->fn = ncclDestructorFnCudaHostFree;
|
|
dtor->obj = obj;
|
|
dtor->next = comm->destructorHead;
|
|
comm->destructorHead = dtor;
|
|
}
|
|
|
|
static ncclResult_t ncclDestructorFnCudaGdrFree(struct ncclDestructor* dtor) {
|
|
NCCLCHECK(ncclGdrCudaFree(dtor->obj));
|
|
return ncclSuccess;
|
|
}
|
|
void ncclCommPushCudaGdrFree(struct ncclComm* comm, void* handle) {
|
|
struct ncclDestructor* dtor = ncclMemoryStackAlloc<struct ncclDestructor>(&comm->memPermanent);
|
|
dtor->fn = ncclDestructorFnCudaGdrFree;
|
|
dtor->obj = handle;
|
|
dtor->next = comm->destructorHead;
|
|
comm->destructorHead = dtor;
|
|
}
|
|
|
|
static ncclResult_t commFree(ncclComm_t comm) {
|
|
int abort = 0;
|
|
/* commFree() should not involve any sync among ranks. */
|
|
if (comm == NULL)
|
|
return ncclSuccess;
|
|
|
|
if (comm->symmetricSupport && comm->symDevComm.base) {
|
|
NCCLCHECK(ncclCommSymmetricFreeInternal(comm, comm->baseUCSymPtr + comm->rank * comm->baseStride));
|
|
}
|
|
|
|
NCCLCHECK(ncclRasCommFini(comm));
|
|
|
|
/* in commReclaim, we have guaranteed only last rank which calls ncclCommDestroy() will
|
|
* free all intra-process communicators; therefore, we only need to focus on local
|
|
* resource cleanup in commFree(). */
|
|
if (comm->proxyState && comm->proxyRefCountOld == 0 && comm->proxyState->thread) {
|
|
PTHREADCHECK(pthread_join(comm->proxyState->thread, nullptr), "pthread_join");
|
|
if (comm->proxyState->threadUDS) {
|
|
// UDS support
|
|
PTHREADCHECK(pthread_join(comm->proxyState->threadUDS, nullptr), "pthread_join");
|
|
}
|
|
}
|
|
|
|
if (comm->memPool) CUDACHECK(cudaMemPoolDestroy(comm->memPool));
|
|
|
|
delete[] comm->userRedOps;
|
|
|
|
free(comm->connectSend);
|
|
free(comm->connectRecv);
|
|
|
|
if (rcclParamEnableProxyTrace()) {
|
|
WARN("commFree() ProxyTrace:");
|
|
if (comm->proxyState && comm->proxyState->proxyTrace){
|
|
WARN("%s", comm->proxyState->proxyTrace->dump().c_str());
|
|
}
|
|
}
|
|
|
|
|
|
#ifdef ENABLE_PROFILING
|
|
struct ncclProf *prof, *prof_seq;
|
|
prof = (struct ncclProf*)malloc(sizeof(struct ncclProf)*MAXCHANNELS*PROFILE_NUM_LAUNCHES);
|
|
CUDACHECK(hipMemcpy(prof, comm->devComm->devProf, sizeof(struct ncclProf)*MAXCHANNELS*PROFILE_NUM_LAUNCHES, hipMemcpyDeviceToHost));
|
|
#define VEGA_GPU_RTC_FREQUENCY 2.5E7
|
|
for (int i=0; i<comm->nChannels; i++) {
|
|
for (int s=0; s<prof[MAXCHANNELS*i].seq; s++) {
|
|
if (prof[MAXCHANNELS*s+i].count == 0) continue;
|
|
for (int j=0; j<prof[MAXCHANNELS*s+i].count; j++) {
|
|
INFO(NCCL_INIT, "# [%02d:%02d] %02d-%02d L:%04u %6.2fus", comm->rank, i, s, j, prof[MAXCHANNELS*s+i].elem[j].line, (prof[MAXCHANNELS*s+i].elem[j].timeStamp-prof[MAXCHANNELS*s+i].elem[0].timeStamp)/VEGA_GPU_RTC_FREQUENCY*1.0E6);
|
|
}
|
|
}
|
|
}
|
|
free(prof);
|
|
CUDACHECK(hipFree(comm->devComm->devProf));
|
|
#endif
|
|
|
|
#ifdef ENABLE_COLLTRACE
|
|
comm->collTraceExit = 1;
|
|
if (comm->collTraceEnabled) {
|
|
if (comm->collTraceThread)
|
|
pthread_join(comm->collTraceThread, NULL);
|
|
else
|
|
ncclCommThreadMain((void *)comm);
|
|
}
|
|
NCCLCHECK(ncclCudaFree((void *)comm->collTrace));
|
|
NCCLCHECK(ncclCudaFree((void *)comm->collTraceTail));
|
|
#endif
|
|
|
|
free(comm->peerInfo);
|
|
if (comm->topo)
|
|
ncclTopoFree(comm->topo);
|
|
if (comm->nodeRanks) {
|
|
for (int n=0; n<comm->nNodes; n++) free(comm->nodeRanks[n].localRankToRank);
|
|
free(comm->nodeRanks);
|
|
}
|
|
free(comm->rankToNode);
|
|
free(comm->rankToLocalRank);
|
|
free(comm->collNetHeads);
|
|
free(comm->clique.ranks);
|
|
|
|
if (comm->bootstrap)
|
|
NCCLCHECK(bootstrapClose(comm->bootstrap));
|
|
|
|
for (int channel=0; channel<MAXCHANNELS; channel++)
|
|
NCCLCHECK(freeChannel(comm->channels+channel, comm->nRanks, 1, comm->localRanks));
|
|
|
|
if (comm->doneEvent != NULL)
|
|
CUDACHECK(hipEventDestroy(comm->doneEvent));
|
|
|
|
if (comm->sharedRes) {
|
|
if (ncclAtomicRefCountDecrement(&comm->sharedRes->refCount) == 0) {
|
|
for (int c=0; c<MAXCHANNELS; c++) {
|
|
if (comm->sharedRes->peers[c]) free(comm->sharedRes->peers[c]);
|
|
if (comm->sharedRes->devPeers[c]) ncclCudaFree(comm->sharedRes->devPeers[c]);
|
|
}
|
|
free(comm->sharedRes->tpRankToLocalRank);
|
|
NCCLCHECK(ncclStrongStreamDestruct(&comm->sharedRes->hostStream));
|
|
NCCLCHECK(ncclStrongStreamDestruct(&comm->sharedRes->deviceStream));
|
|
CUDACHECK(cudaEventDestroy(comm->sharedRes->launchEvent));
|
|
CUDACHECK(cudaEventDestroy(comm->sharedRes->scratchEvent));
|
|
NCCLCHECK(ncclProxyDestroy(comm));
|
|
free(comm->sharedRes);
|
|
}
|
|
}
|
|
|
|
#if CUDART_VERSION >= 12010
|
|
if (comm->nvlsSupport) NCCLCHECK(ncclNvlsFree(comm));
|
|
#endif
|
|
|
|
struct ncclDestructor* dtor = comm->destructorHead;
|
|
while (dtor != nullptr) {
|
|
NCCLCHECK(dtor->fn(dtor));
|
|
dtor = dtor->next;
|
|
}
|
|
|
|
ncclMemoryStackDestruct(&comm->memScoped);
|
|
ncclMemoryStackDestruct(&comm->memPermanent);
|
|
|
|
abort = *comm->abortFlag;
|
|
if (ncclAtomicRefCountDecrement(comm->abortFlagRefCount) == 0) {
|
|
free(comm->abortFlag);
|
|
NCCLCHECK(ncclCudaHostFree((void*)comm->abortFlagDev));
|
|
free(comm->abortFlagRefCount);
|
|
}
|
|
free((void*)comm->config.netName);
|
|
|
|
free(comm->topParentRanks);
|
|
free(comm->topParentLocalRanks);
|
|
free(comm->gproxyConn);
|
|
|
|
NCCLCHECK(ncclRegCleanup(comm));
|
|
|
|
if (comm->symmetricSupport) {
|
|
NCCLCHECK(ncclNvlsSymmetricFinalize(comm));
|
|
NCCLCHECK(ncclIpcSymmetricFinalize(comm));
|
|
}
|
|
NCCLCHECK(ncclDestroySideStream(comm->cudaDev));
|
|
INFO(NCCL_INIT,"comm %p rank %d nranks %d cudaDev %d busId %lx - %s COMPLETE", comm, comm->rank, comm->nRanks, comm->cudaDev, comm->busId, abort ? "Abort" : "Destroy");
|
|
|
|
commPoison(comm); // poison comm before free to avoid comm reuse.
|
|
NCCLCHECK(ncclProfilerPluginFinalize(comm));
|
|
NCCLCHECK(ncclNetFinalize(comm));
|
|
// Disable until we validate NCCL_LAUNCH_IMPLICIT_ORDER support.
|
|
// but can be enabled via environment variable
|
|
if (rcclParamEnableContextTracking() == 1) {
|
|
ncclCudaContextDrop(comm->context);
|
|
INFO(NCCL_INIT, "cudaDev %d context tracking destroyed", comm->cudaDev);
|
|
}
|
|
|
|
free(comm);
|
|
|
|
return ncclSuccess;
|
|
}
|
|
|
|
RCCL_PARAM(P2pNetDisable, "P2P_NET_DISABLE", 1);
|
|
RCCL_PARAM(PivotAlltoallEnable, "PIVOT_ALLTOALL_ENABLE", 1);
|
|
RCCL_PARAM(LL128ForceEnable, "LL128_FORCE_ENABLE", 0);
|
|
NCCL_PARAM(AggChannelSize, "AGG_CHANNEL_SIZE", -2);
|
|
NCCL_PARAM(DisableGraphHelper, "GRAPH_HELPER_DISABLE", 0);
|
|
// GDRCOPY support: FIFO_ENABLE when enabled locates a workFifo in CUDA memory
|
|
NCCL_PARAM(GdrCopyFifoEnable, "GDRCOPY_FIFO_ENABLE", 1);
|
|
#define NCCL_WORK_FIFO_BYTES_DEFAULT (1<<22)
|
|
NCCL_PARAM(WorkFifoBytes, "WORK_FIFO_BYTES", NCCL_WORK_FIFO_BYTES_DEFAULT);
|
|
NCCL_PARAM(WorkArgsBytes, "WORK_ARGS_BYTES", INT64_MAX);
|
|
enum ncclLaunchMode ncclParamLaunchMode;
|
|
|
|
|
|
// Detect DMA-BUF support
|
|
static ncclResult_t dmaBufSupported(struct ncclComm* comm) {
|
|
if (comm->ncclNet->regMrDmaBuf == NULL || rocmLibraryInit() != ncclSuccess) return ncclInternalError;
|
|
#if CUDA_VERSION >= 11070
|
|
int flag = 0;
|
|
CUdevice dev;
|
|
int cudaDriverVersion;
|
|
CUDACHECK(cudaDriverGetVersion(&cudaDriverVersion));
|
|
if (CUPFN(cuDeviceGet) == NULL || cudaDriverVersion < 11070) return ncclInternalError;
|
|
CUCHECK(cuDeviceGet(&dev, comm->cudaDev));
|
|
// Query device to see if DMA-BUF support is available
|
|
(void) CUPFN(cuDeviceGetAttribute(&flag, CU_DEVICE_ATTRIBUTE_DMA_BUF_SUPPORTED, dev));
|
|
if (flag == 0) return ncclInternalError;
|
|
INFO(NCCL_INIT, "DMA-BUF is available on GPU device %d", comm->cudaDev);
|
|
return ncclSuccess;
|
|
#else
|
|
return pfn_hsa_amd_portable_export_dmabuf != NULL ? ncclSuccess : ncclInternalError;
|
|
#endif
|
|
return ncclInternalError;
|
|
}
|
|
|
|
ncclResult_t ncclCommEnsureReady(ncclComm_t comm) {
|
|
/* comm must be ready, or error will be reported */
|
|
ncclResult_t ret = ncclSuccess;
|
|
if (__atomic_load_n(comm->abortFlag, __ATOMIC_ACQUIRE)) {
|
|
ncclGroupJobAbort(comm->groupJob);
|
|
} else {
|
|
NCCLCHECK(ncclCommGetAsyncError(comm, &ret));
|
|
if (ret == ncclInProgress) {
|
|
WARN("Attempt to use communicator before the previous operation returned ncclSuccess");
|
|
ret = ncclInvalidArgument;
|
|
goto exit;
|
|
}
|
|
/* if ret is not ncclInProgress, we just keep it. */
|
|
}
|
|
|
|
exit:
|
|
return ret;
|
|
}
|
|
|
|
RCCL_PARAM(InjectFaults, "INJECT_FAULTS", 0);
|
|
|
|
static ncclResult_t commAlloc(struct ncclComm* comm, struct ncclComm* parent, 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;
|
|
}
|
|
|
|
ncclMemoryStackConstruct(&comm->memPermanent);
|
|
ncclMemoryStackConstruct(&comm->memScoped);
|
|
comm->destructorHead = nullptr;
|
|
comm->rank = rank;
|
|
comm->nRanks = ndev;
|
|
|
|
NCCLCHECK(ncclNetInit(comm));
|
|
INFO(NCCL_INIT, "Using network %s", comm->ncclNet->name);
|
|
|
|
if (parent && parent->shareResources) {
|
|
if (parent->ncclNet != comm->ncclNet) {
|
|
WARN("Split shares resources, but parent comm netName %s is different from child comm netName %s", parent->ncclNet->name, comm->ncclNet->name);
|
|
return ncclInvalidUsage;
|
|
}
|
|
}
|
|
// 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.
|
|
hipEvent_t doneEvent;
|
|
CUDACHECK(hipEventCreateWithFlags(&doneEvent, hipEventDisableTiming));
|
|
|
|
comm->doneEvent = doneEvent;
|
|
comm->lastStream = nullptr;
|
|
CUDACHECK(cudaGetDevice(&comm->cudaDev));
|
|
|
|
// RCCL: create persistent stream for calloc
|
|
NCCLCHECK(ncclCreateSideStream(comm->cudaDev));
|
|
|
|
// Disable until we validate NCCL_LAUNCH_IMPLICIT_ORDER support.
|
|
// but can be enabled via environment variable
|
|
if (rcclParamEnableContextTracking() == 1) {
|
|
NCCLCHECK(ncclCudaContextTrack(&comm->context));
|
|
INFO(NCCL_INIT, "cudaDev %d context tracking created", comm->cudaDev);
|
|
}
|
|
|
|
NCCLCHECK(getBusId(comm->cudaDev, &comm->busId));
|
|
char busId[]="0000:00:00.0";
|
|
NCCLCHECK(int64ToBusId(comm->busId, busId));
|
|
NCCLCHECK(rocm_smi_init());
|
|
NCCLCHECK(rocm_smi_getDeviceIndexByPciBusId(busId, (unsigned int*)&comm->nvmlDev));
|
|
|
|
comm->compCap = ncclCudaCompCap();
|
|
TRACE(NCCL_INIT,"comm %p rank %d nranks %d cudaDev %d busId %lx compCap %d", comm, rank, ndev, comm->cudaDev, comm->busId, comm->compCap);
|
|
|
|
comm->checkPointers = ncclParamCheckPointers() == 1 ? true : false;
|
|
comm->dmaBufSupport = (dmaBufSupported(comm) == ncclSuccess) ? true : false;
|
|
|
|
#ifdef ENABLE_COLLTRACE
|
|
NCCLCHECK(ncclCudaCalloc(&comm->collTraceTail, MAXCHANNELS));
|
|
NCCLCHECK(ncclCudaCalloc(&comm->collTrace, COLLTRACE_NUM_ITEMS*MAXCHANNELS));
|
|
comm->collTraceExit = 0;
|
|
comm->collTraceEnabled = false; // we can enable colltrace without starting a thread
|
|
if ((ncclDebugLevel >= NCCL_LOG_INFO) && rcclParamKernelCollTraceEnable()) {
|
|
comm->collTraceEnabled = true;
|
|
if (rcclParamKernelCollTraceThreadEnable())
|
|
pthread_create(&comm->collTraceThread, NULL, ncclCommThreadMain, (void *)comm);
|
|
else
|
|
comm->collTraceThread = 0;
|
|
}
|
|
#endif
|
|
|
|
if (rcclParamInjectFaults() != 0) {
|
|
#ifdef ENABLE_FAULT_INJECTION
|
|
comm->faults = rcclParamInjectFaults();
|
|
if (comm->rank == 0) INFO(NCCL_INIT, "Enabled RCCL faults injection with value 0x%lx", comm->faults);
|
|
#else
|
|
WARN("Ignore faults injection of value 0x%lx as RCCL is not compiled to support it", rcclParamInjectFaults());
|
|
#endif
|
|
}
|
|
|
|
memset(comm->collNetSupportMatrix, 0, sizeof(comm->collNetSupportMatrix));
|
|
|
|
ncclMemoryPoolConstruct(&comm->memPool_ncclKernelPlan);
|
|
ncclMemoryPoolConstruct(&comm->memPool_ncclProxyOp);
|
|
|
|
for (int i = 0; i < ncclGroupTaskTypeNum; i++) {
|
|
comm->groupNext[i] = reinterpret_cast<struct ncclComm*>(0x1);
|
|
}
|
|
comm->preconnectNext = reinterpret_cast<struct ncclComm*>(0x1);
|
|
|
|
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*NCCL_MAX_CONNS));
|
|
NCCLCHECK(ncclCalloc(&comm->connectRecv, comm->nRanks*NCCL_MAX_CONNS));
|
|
|
|
// Mark channels as non initialized.
|
|
for (int c=0; c < MAXCHANNELS; c++) comm->channels[c].id = -1;
|
|
|
|
if (parent == NULL || !parent->shareResources) {
|
|
struct ncclSharedResources* sharedRes = NULL;
|
|
NCCLCHECK(ncclCalloc(&sharedRes, 1));
|
|
/* most of attributes are assigned later in initTransportsRank(). */
|
|
sharedRes->owner = comm;
|
|
sharedRes->tpNRanks = comm->nRanks;
|
|
NCCLCHECK(ncclCalloc(&sharedRes->tpRankToLocalRank, comm->nRanks));
|
|
NCCLCHECK(ncclStrongStreamConstruct(&sharedRes->deviceStream));
|
|
NCCLCHECK(ncclStrongStreamConstruct(&sharedRes->hostStream));
|
|
CUDACHECK(cudaEventCreateWithFlags(&sharedRes->launchEvent, cudaEventDisableTiming));
|
|
CUDACHECK(cudaEventCreateWithFlags(&sharedRes->scratchEvent, cudaEventDisableTiming));
|
|
comm->sharedRes = sharedRes;
|
|
sharedRes->refCount = 1;
|
|
} else {
|
|
comm->sharedRes = parent->sharedRes;
|
|
ncclAtomicRefCountIncrement(&parent->sharedRes->refCount);
|
|
}
|
|
|
|
CUDACHECK(hipDeviceGetAttribute(&comm->WarpSize, hipDeviceAttributeWarpSize, comm->cudaDev));
|
|
if (comm->topParentRanks == NULL) {
|
|
NCCLCHECK(ncclCalloc(&comm->topParentRanks, comm->nRanks));
|
|
for (int i = 0; i < comm->nRanks; ++i)
|
|
comm->topParentRanks[i] = i;
|
|
}
|
|
|
|
ncclIntruQueueMpscConstruct(&comm->callbackQueue);
|
|
ncclIntruQueueConstruct(&comm->legacyRegCleanupQueue);
|
|
|
|
comm->regCache.pageSize = sysconf(_SC_PAGESIZE);
|
|
|
|
do {
|
|
cudaMemPoolProps props = {};
|
|
props.allocType = cudaMemAllocationTypePinned;
|
|
props.handleTypes = cudaMemHandleTypeNone;
|
|
props.location.type = cudaMemLocationTypeDevice;
|
|
props.location.id = comm->cudaDev;
|
|
CUDACHECK(cudaMemPoolCreate(&comm->memPool, &props));
|
|
uint64_t releaseThreshold = ~uint64_t(0);
|
|
CUDACHECK(cudaMemPoolSetAttribute(comm->memPool, cudaMemPoolAttrReleaseThreshold, &releaseThreshold));
|
|
} while (0);
|
|
|
|
ncclIntruQueueConstruct(&comm->eventCallbackQueue);
|
|
|
|
return ncclSuccess;
|
|
}
|
|
|
|
static ncclResult_t devCommSetup(ncclComm_t comm) {
|
|
ncclResult_t ret = ncclSuccess;
|
|
int nRanks = comm->nRanks;
|
|
struct ncclDevCommAndChannels tmpCommAndChans;
|
|
struct ncclDevCommAndChannels *devCommAndChans = NULL;
|
|
//struct ncclNvmlCCStatus ccStatus; //unused variable - compiler warning
|
|
bool ccEnable = false;
|
|
cudaStream_t deviceStream;
|
|
|
|
memset(&tmpCommAndChans, '\0', sizeof(tmpCommAndChans));
|
|
NCCLCHECKGOTO(ncclStrongStreamAcquire(ncclCudaGraphNone(), &comm->sharedRes->deviceStream, /*concurrent=*/false, &deviceStream), ret, fail);
|
|
NCCLCHECKGOTO(ncclCudaCallocAsync(&devCommAndChans, 1, deviceStream), ret, fail);
|
|
ncclCommPushCudaFree(comm, devCommAndChans);
|
|
NCCLCHECKGOTO(ncclCudaCallocAsync(&tmpCommAndChans.comm.rankToLocalRank, comm->nRanks, deviceStream), ret, fail);
|
|
ncclCommPushCudaFree(comm, tmpCommAndChans.comm.rankToLocalRank);
|
|
NCCLCHECKGOTO(ncclCudaMemcpyAsync(tmpCommAndChans.comm.rankToLocalRank, comm->rankToLocalRank, comm->nRanks, deviceStream), ret, fail);
|
|
comm->devComm = &devCommAndChans->comm;
|
|
tmpCommAndChans.comm.rank = comm->rank;
|
|
tmpCommAndChans.comm.nRanks = nRanks;
|
|
tmpCommAndChans.comm.node = comm->node;
|
|
tmpCommAndChans.comm.nNodes = comm->nNodes;
|
|
tmpCommAndChans.comm.abortFlag = comm->abortFlagDev;
|
|
tmpCommAndChans.comm.isAllNvlink = comm->isAllNvlink;
|
|
tmpCommAndChans.comm.p2pnChannelsPerPeer = comm->p2pnChannelsPerPeer;
|
|
for (int p=0; p < NCCL_NUM_PROTOCOLS; p++) {
|
|
tmpCommAndChans.comm.buffSizes[p] = comm->buffSizes[p];
|
|
}
|
|
tmpCommAndChans.comm.p2pChunkSize = comm->p2pChunkSize;
|
|
tmpCommAndChans.comm.channels = &devCommAndChans->channels[0];
|
|
|
|
comm->workArgsBytes = std::min<size_t>(ncclParamWorkArgsBytes(), ncclMaxKernelArgsSize(comm->cudaArch));
|
|
|
|
#if !defined(__HIP_PLATFORM_AMD__) && !defined(__HIPCC__)
|
|
memset(&ccStatus, 0, sizeof(ccStatus));
|
|
ccEnable = (ncclSuccess == ncclNvmlGetCCStatus(&ccStatus)) && (ccStatus.CCEnabled || ccStatus.multiGpuProtectedPCIE);
|
|
if (ccEnable) {
|
|
comm->workFifoBytes = 0;
|
|
} else {
|
|
comm->workFifoBytes = ncclParamWorkFifoBytes();
|
|
if (0 != (comm->workFifoBytes & (comm->workFifoBytes-1))) {
|
|
WARN("NCCL_WORK_FIFO_BYTES=%d is being ignored because it is not a power of 2.", comm->workFifoBytes);
|
|
comm->workFifoBytes = NCCL_WORK_FIFO_BYTES_DEFAULT;
|
|
}
|
|
comm->workFifoBytes = std::min(comm->workFifoBytes, 1u<<30);
|
|
}
|
|
#else
|
|
comm->workFifoBytes = ncclParamWorkFifoBytes();
|
|
if (0 != (comm->workFifoBytes & (comm->workFifoBytes-1))) {
|
|
WARN("NCCL_WORK_FIFO_BYTES=%d is being ignored because it is not a power of 2.", comm->workFifoBytes);
|
|
comm->workFifoBytes = NCCL_WORK_FIFO_BYTES_DEFAULT;
|
|
}
|
|
comm->workFifoBytes = std::min(comm->workFifoBytes, 1u<<30);
|
|
#endif
|
|
|
|
if (comm->rank == 0) {
|
|
INFO(NCCL_INIT, "CC %s, workFifoBytes %d", ccEnable ? "On" : "Off", comm->workFifoBytes);
|
|
}
|
|
|
|
if (ncclGdrCopy != NULL && ncclParamGdrCopyFifoEnable() == 1) {
|
|
// The workFifoBuf lives in GDR mapped CUDA memory.
|
|
NCCLCHECKGOTO(ncclGdrCudaCalloc(&comm->workFifoBuf, &comm->workFifoBufDev, comm->workFifoBytes, &comm->workFifoBufGdrHandle), ret, fail);
|
|
ncclCommPushCudaGdrFree(comm, comm->workFifoBufGdrHandle);
|
|
} else {
|
|
// The workFifoBuf lives in cudaHost memory.
|
|
comm->workFifoBufGdrHandle = nullptr;
|
|
NCCLCHECKGOTO(ncclCudaHostCalloc(&comm->workFifoBuf, comm->workFifoBytes), ret, fail);
|
|
ncclCommPushCudaHostFree(comm, comm->workFifoBuf);
|
|
comm->workFifoBufDev = comm->workFifoBuf;
|
|
}
|
|
|
|
comm->workFifoProduced = 0;
|
|
comm->workFifoProducedLastRecorded = 0;
|
|
comm->workFifoConsumed = 0;
|
|
|
|
// Alloc profiler counters for the kernel
|
|
NCCLCHECKGOTO(ncclCudaHostCalloc(&comm->profiler.workStarted, MAXCHANNELS), ret, fail);
|
|
NCCLCHECKGOTO(ncclCudaHostCalloc(&comm->profiler.workCompleted, MAXCHANNELS), ret, fail);
|
|
tmpCommAndChans.comm.workStarted = comm->profiler.workStarted;
|
|
tmpCommAndChans.comm.workCompleted = comm->profiler.workCompleted;
|
|
ncclCommPushCudaHostFree(comm, comm->profiler.workStarted);
|
|
ncclCommPushCudaHostFree(comm, comm->profiler.workCompleted);
|
|
|
|
if (comm->collNetDenseToUserRank != nullptr) {
|
|
NCCLCHECKGOTO(ncclCudaCallocAsync(&tmpCommAndChans.comm.collNetDenseToUserRank, nRanks, deviceStream), ret, fail);
|
|
ncclCommPushCudaFree(comm, tmpCommAndChans.comm.collNetDenseToUserRank);
|
|
NCCLCHECKGOTO(ncclCudaMemcpyAsync(tmpCommAndChans.comm.collNetDenseToUserRank, comm->collNetDenseToUserRank, nRanks, deviceStream), ret, fail);
|
|
}
|
|
|
|
for (int c=0; c < MAXCHANNELS; c++) {
|
|
tmpCommAndChans.channels[c].peers = comm->channels[c].devPeers;
|
|
tmpCommAndChans.channels[c].ring = comm->channels[c].ring;
|
|
tmpCommAndChans.channels[c].ring.userRanks = comm->channels[c].devRingUserRanks;
|
|
tmpCommAndChans.channels[c].tree = comm->channels[c].tree;
|
|
tmpCommAndChans.channels[c].collnetChain = comm->channels[c].collnetChain;
|
|
tmpCommAndChans.channels[c].collnetDirect = comm->channels[c].collnetDirect;
|
|
tmpCommAndChans.channels[c].binTree = comm->channels[c].binTree;
|
|
tmpCommAndChans.channels[c].nvls = comm->channels[c].nvls;
|
|
|
|
if (comm->channels[c].ring.userRanks != nullptr) {
|
|
NCCLCHECKGOTO(ncclCudaMemcpyAsync(tmpCommAndChans.channels[c].ring.userRanks, comm->channels[c].ring.userRanks, nRanks, deviceStream), ret, fail);
|
|
}
|
|
}
|
|
|
|
#ifdef ENABLE_COLLTRACE
|
|
tmpCommAndChans.comm.collTrace = comm->collTrace;
|
|
tmpCommAndChans.comm.collTraceTail = comm->collTraceTail;
|
|
tmpCommAndChans.comm.collTraceThread = comm->collTraceThread;
|
|
#endif
|
|
|
|
#if defined(ENABLE_NPKIT)
|
|
// Init NPKit
|
|
NCCLCHECK(NpKit::Init(comm->rank));
|
|
tmpCommAndChans.comm.npKitEventCollectContexts = NpKit::GetGpuEventCollectContexts();
|
|
tmpCommAndChans.comm.cpuTimestamp = NpKit::GetCpuTimestamp();
|
|
#endif
|
|
|
|
#ifdef ENABLE_PROFILING
|
|
NCCLCHECK(ncclCudaCalloc(&tmpCommAndChans.comm.devProf, MAXCHANNELS*PROFILE_NUM_LAUNCHES));
|
|
#endif
|
|
|
|
#ifdef ENABLE_FAULT_INJECTION
|
|
tmpCommAndChans.comm.faults = comm->faults;
|
|
#endif
|
|
|
|
NCCLCHECKGOTO(ncclCudaMemcpyAsync(devCommAndChans, &tmpCommAndChans, 1, deviceStream), ret, fail);
|
|
exit:
|
|
NCCLCHECK(ncclStrongStreamRelease(ncclCudaGraphNone(), &comm->sharedRes->deviceStream, /*concurrent=*/false));
|
|
NCCLCHECK(ncclStrongStreamSynchronize(&comm->sharedRes->deviceStream));
|
|
return ret;
|
|
fail:
|
|
goto exit;
|
|
}
|
|
|
|
// Pre-process the string so that running "strings" on the lib can quickly reveal the version.
|
|
#if defined(__HIP_PLATFORM_AMD__) || defined(__HIPCC__)
|
|
#define VERSION_STRING "RCCL version : " STR(NCCL_MAJOR) "." STR(NCCL_MINOR) "." STR(NCCL_PATCH) NCCL_SUFFIX
|
|
#define VERSION_STRING_EXTENDED "HIP version : " HIP_BUILD_INFO "\nROCm version : " ROCM_BUILD_INFO
|
|
#else
|
|
#define VERSION_STRING "NCCL version " STR(NCCL_MAJOR) "." STR(NCCL_MINOR) "." STR(NCCL_PATCH) NCCL_SUFFIX
|
|
#define VERSION_STRING_EXTENDED "CUDA version " STR(CUDA_MAJOR) "." STR(CUDA_MINOR)
|
|
#endif
|
|
static void showVersion() {
|
|
char versionInfo[2048+2*HOST_NAME_MAX], hostInfo[HOST_NAME_MAX], libPathInfo[2048];
|
|
|
|
// Retrieve Hostname info
|
|
if (gethostname(hostInfo, sizeof(hostInfo)-1) != 0) {
|
|
// Returns Unknown in hostInfo if function call unsuccessful
|
|
strncpy(hostInfo, "Unknown", sizeof(hostInfo)-1);
|
|
}
|
|
|
|
// Retrieve librccl path
|
|
Dl_info pathInfo;
|
|
if (dladdr((void*)ncclCommInitRank, &pathInfo)) {
|
|
strncpy(libPathInfo, pathInfo.dli_fname, sizeof(libPathInfo)-1);
|
|
} else {
|
|
// Sets libPath to Unknown if the above function call is not successful
|
|
strncpy(libPathInfo, "Unknown", sizeof(libPathInfo)-1);
|
|
}
|
|
|
|
snprintf(versionInfo, sizeof(versionInfo),
|
|
"%s-%s\n%s\n"
|
|
"%-12s : %s\n%12s : %s",
|
|
VERSION_STRING, rcclGitHash, VERSION_STRING_EXTENDED,
|
|
"Hostname", hostInfo, "Librccl path", libPathInfo
|
|
);
|
|
|
|
if (ncclDebugLevel == NCCL_LOG_VERSION || ncclDebugLevel == NCCL_LOG_WARN) {
|
|
VERSION("%s", versionInfo);
|
|
} else {
|
|
INFO(NCCL_ALL,"%s", versionInfo);
|
|
}
|
|
}
|
|
|
|
NCCL_PARAM(MNNVLUUID, "MNNVL_UUID", -1);
|
|
NCCL_PARAM(MNNVLCliqueId, "MNNVL_CLIQUE_ID", -1);
|
|
|
|
static ncclResult_t fillInfo(struct ncclComm* comm, struct ncclPeerInfo* info, uint64_t commHash) {
|
|
cudaDeviceProp prop;
|
|
info->rank = comm->rank;
|
|
info->cudaDev = comm->cudaDev;
|
|
info->nvmlDev = comm->nvmlDev;
|
|
NCCLCHECK(ncclGetVersion(&info->version));
|
|
info->hostHash=getHostHash()+commHash;
|
|
info->pidHash=getPidHash()+commHash;
|
|
info->cuMemSupport = ncclCuMemEnable();
|
|
CUDACHECK(cudaGetDeviceProperties(&prop, comm->cudaDev));
|
|
info->totalGlobalMem = ROUNDUP(prop.totalGlobalMem, (1L << 32));
|
|
|
|
// 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;
|
|
|
|
// detect if fine grained memory is available on this GPU
|
|
int *ptr;
|
|
#if defined(HIP_UNCACHED_MEMORY)
|
|
if (hipExtMallocWithFlags((void**)&ptr, sizeof(int), hipDeviceMallocUncached) == hipSuccess) {
|
|
#else
|
|
if (hipExtMallocWithFlags((void**)&ptr, sizeof(int), hipDeviceMallocFinegrained) == hipSuccess) {
|
|
#endif
|
|
CUDACHECK(hipFree(ptr));
|
|
info->hasFineGrain = true;
|
|
// GPU supports GDR if DMABUF is supported
|
|
if (dmaBufSupported(comm) == ncclSuccess)
|
|
info->gdrSupport = 1;
|
|
else
|
|
NCCLCHECK(ncclGpuGdrSupport(comm, &info->gdrSupport));
|
|
}
|
|
else {
|
|
info->hasFineGrain = false;
|
|
info->gdrSupport = 0;
|
|
}
|
|
comm->hasFineGrain = info->hasFineGrain;
|
|
|
|
info->comm = comm;
|
|
info->cudaCompCap = comm->minCompCap = comm->maxCompCap = comm->compCap;
|
|
|
|
#if !defined(__HIP_PLATFORM_AMD__) && !defined(__HIPCC__)
|
|
// MNNVL support
|
|
{
|
|
// MNNVL: Request the fabric UUID and partition info
|
|
char busId[NVML_DEVICE_PCI_BUS_ID_BUFFER_SIZE];
|
|
nvmlDevice_t nvmlDev;
|
|
NCCLCHECK(int64ToBusId(info->busId, busId));
|
|
NCCLCHECK(ncclNvmlDeviceGetHandleByPciBusId(busId, &nvmlDev));
|
|
info->fabricInfo.state = NVML_GPU_FABRIC_STATE_NOT_SUPPORTED;
|
|
(void) ncclNvmlDeviceGetGpuFabricInfoV(nvmlDev, &info->fabricInfo);
|
|
if (info->fabricInfo.state != NVML_GPU_FABRIC_STATE_NOT_SUPPORTED) {
|
|
if (ncclParamMNNVLUUID() != -1) {
|
|
((long*)&info->fabricInfo.clusterUuid)[0] = ncclParamMNNVLUUID();
|
|
((long*)&info->fabricInfo.clusterUuid)[1] = ncclParamMNNVLUUID();
|
|
}
|
|
if (ncclParamMNNVLCliqueId() != -1) info->fabricInfo.cliqueId = ncclParamMNNVLCliqueId();
|
|
INFO(NCCL_INIT, "MNNVL busId 0x%lx fabric UUID %lx.%lx cliqueId 0x%x state %d healthMask 0x%x",
|
|
info->busId,
|
|
((long *)&info->fabricInfo.clusterUuid)[0], ((long *)&info->fabricInfo.clusterUuid)[1],
|
|
info->fabricInfo.cliqueId, info->fabricInfo.state, info->fabricInfo.healthMask);
|
|
}
|
|
}
|
|
#endif
|
|
|
|
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;
|
|
}
|
|
#if defined(__HIP_PLATFORM_AMD__) || defined(__HIPCC__)
|
|
#else
|
|
#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 */
|
|
#endif
|
|
NCCL_PARAM(BuffSize, "BUFFSIZE", -2);
|
|
NCCL_PARAM(LlBuffSize, "LL_BUFFSIZE", -2);
|
|
NCCL_PARAM(Ll128BuffSize, "LL128_BUFFSIZE", -2);
|
|
// Default value of P2P_NET_CHUNKSIZE may be overwritten by changes in src/rccl_wrap.cc
|
|
NCCL_PARAM(P2pNetChunkSize, "P2P_NET_CHUNKSIZE", (1 << 17)); /* 128 kB */
|
|
NCCL_PARAM(P2pPciChunkSize, "P2P_PCI_CHUNKSIZE", (1 << 17)); /* 128 kB */
|
|
NCCL_PARAM(P2pNvlChunkSize, "P2P_NVL_CHUNKSIZE", (1 << 19)); /* 512 kB */
|
|
|
|
static ncclResult_t computeBuffSizes(struct ncclComm* comm) {
|
|
int64_t envs[NCCL_NUM_PROTOCOLS] = { ncclParamLlBuffSize(), ncclParamLl128BuffSize(), ncclParamBuffSize() };
|
|
#if defined(__HIP_PLATFORM_AMD__) || defined(__HIPCC__)
|
|
int defaults[NCCL_NUM_PROTOCOLS];
|
|
rcclSetDefaultBuffSizes(comm, defaults);
|
|
#else
|
|
int defaults[NCCL_NUM_PROTOCOLS] = { DEFAULT_LL_BUFFSIZE, DEFAULT_LL128_BUFFSIZE, DEFAULT_BUFFSIZE };
|
|
#endif
|
|
for (int p=0; p<NCCL_NUM_PROTOCOLS; p++) {
|
|
comm->buffSizes[p] = envs[p] != -2 ? envs[p] : defaults[p];
|
|
}
|
|
|
|
if (comm->nNodes > 1) {
|
|
rcclSetP2pNetChunkSize(comm, comm->p2pChunkSize);
|
|
comm->p2pChunkSize = (comm->p2pChunkSize > RCCL_VALUE_INVALID)? comm->p2pChunkSize : ncclParamP2pNetChunkSize();
|
|
}
|
|
else if (comm->isAllNvlink) comm->p2pChunkSize = ncclParamP2pNvlChunkSize();
|
|
else comm->p2pChunkSize = ncclParamP2pPciChunkSize();
|
|
|
|
// Make sure P2P chunksize is not larger than coll chunksize.
|
|
if (comm->p2pChunkSize * NCCL_STEPS > comm->buffSizes[NCCL_PROTO_SIMPLE]) comm->p2pChunkSize = comm->buffSizes[NCCL_PROTO_SIMPLE]/NCCL_STEPS;
|
|
|
|
if (comm->sharedRes->owner != comm) {
|
|
/* make sure split comm p2pChunkSize won't exceed shared p2pChunkSize. */
|
|
comm->p2pChunkSize = std::min(comm->p2pChunkSize, comm->sharedRes->tpP2pChunkSize);
|
|
} else {
|
|
comm->sharedRes->tpP2pChunkSize = comm->p2pChunkSize;
|
|
}
|
|
|
|
INFO(NCCL_INIT, "P2P Chunksize set to %d", comm->p2pChunkSize);
|
|
return ncclSuccess;
|
|
}
|
|
|
|
NCCL_PARAM(GraphDumpFileRank, "GRAPH_DUMP_FILE_RANK", 0);
|
|
NCCL_PARAM(CollNetNodeThreshold, "COLLNET_NODE_THRESHOLD", 2);
|
|
NCCL_PARAM(NvbPreconnect, "NVB_PRECONNECT", 0);
|
|
NCCL_PARAM(AllocP2pNetLLBuffers, "ALLOC_P2P_NET_LL_BUFFERS", 0);
|
|
#ifdef ENABLE_WARP_SPEED
|
|
extern int64_t rcclParamWarpSpeedEnable();
|
|
extern int64_t rcclParamWarpSpeedAutoMode();
|
|
extern int64_t rcclParamWarpSpeedCuCount();
|
|
#endif
|
|
// MNNVL: Flag to indicate whether to enable Multi-Node NVLink
|
|
NCCL_PARAM(MNNVLEnable, "MNNVL_ENABLE", 2);
|
|
|
|
#define TIMER_INIT_TOTAL 0
|
|
#define TIMER_INIT_KERNELS 1
|
|
#define TIMER_INIT_BOOTSTRAP 2
|
|
#define TIMER_INIT_ALLGATHER 3
|
|
#define TIMER_INIT_TOPO 4
|
|
#define TIMER_INIT_GRAPHS 5
|
|
#define TIMER_INIT_CONNECT 6
|
|
#define TIMER_INIT_ALLOC 7
|
|
#define TIMERS_INIT_COUNT 8
|
|
|
|
static ncclResult_t initTransportsRank(struct ncclComm* comm, struct ncclComm* parent, uint64_t timers[TIMERS_INIT_COUNT]) {
|
|
// We use 2 AllGathers
|
|
// 1. { peerInfo, comm, compCap}
|
|
// 2. { nChannels, graphInfo, topoRanks }
|
|
ncclResult_t ret = ncclSuccess;
|
|
int rank = comm->rank;
|
|
int nranks = comm->nRanks;
|
|
int nNodes = 1;
|
|
cpu_set_t affinitySave;
|
|
struct ncclTopoGraph* ringGraph = &comm->graphs[NCCL_ALGO_RING];
|
|
struct ncclTopoGraph* treeGraph = &comm->graphs[NCCL_ALGO_TREE];
|
|
struct ncclTopoGraph* collNetChainGraph = &comm->graphs[NCCL_ALGO_COLLNET_CHAIN];
|
|
struct ncclTopoGraph* collNetDirectGraph = &comm->graphs[NCCL_ALGO_COLLNET_DIRECT];
|
|
struct ncclTopoGraph* nvlsGraph = &comm->graphs[NCCL_ALGO_NVLS];
|
|
struct ncclTopoGraph* graphs[NCCL_NUM_ALGORITHMS] = { treeGraph, ringGraph, collNetDirectGraph, collNetChainGraph, nvlsGraph, nvlsGraph, treeGraph };
|
|
|
|
struct graphInfo {
|
|
int pattern;
|
|
int nChannels;
|
|
int sameChannels;
|
|
float bwIntra;
|
|
float bwInter;
|
|
int typeIntra;
|
|
int typeInter;
|
|
int crossNic;
|
|
};
|
|
|
|
struct allGatherInfo {
|
|
struct graphInfo graphInfo[NCCL_NUM_ALGORITHMS];
|
|
struct ncclTopoRanks topoRanks;
|
|
int cpuArch;
|
|
int cpuVendor;
|
|
int localRanks;
|
|
int nc;
|
|
bool pivotA2AEnabled;
|
|
bool ll128Enabled;
|
|
bool mscclEnabled;
|
|
};
|
|
|
|
int nChannelsOrig;
|
|
struct allGatherInfo *allGather3Data = NULL;
|
|
struct ncclTopoRanks** allTopoRanks = NULL;
|
|
int *nodesFirstRank = NULL, *nodesTreePatterns = NULL;
|
|
int *rings = NULL;
|
|
int* nvbPeers = NULL;
|
|
struct ncclProxyConnector proxyConn;
|
|
int* pxnPeers = NULL;
|
|
int *topParentLocalRanks = NULL;
|
|
int p2pLevel = -1;
|
|
|
|
bool needsProxy = false;
|
|
bool mscclNeedsProxy = needsProxy;
|
|
|
|
timers[TIMER_INIT_ALLGATHER] = clockNano();
|
|
// AllGather1 - begin
|
|
NCCLCHECKGOTO(ncclCalloc(&comm->peerInfo, nranks+1), ret, fail); // Extra rank to represent CollNet root
|
|
NCCLCHECKGOTO(fillInfo(comm, comm->peerInfo+rank, comm->commHash), ret, fail);
|
|
NCCLCHECKGOTO(bootstrapAllGather(comm->bootstrap, comm->peerInfo, sizeof(struct ncclPeerInfo)), ret, fail);
|
|
__atomic_store_n(&comm->peerInfoValid, true, __ATOMIC_RELEASE);
|
|
|
|
comm->cuMemSupport = 1;
|
|
for (int i = 0; i < nranks; i++) {
|
|
if (comm->peerInfo[i].version != comm->peerInfo[rank].version) {
|
|
WARN("Mismatched NCCL version detected : rank %d version %d rank %d version %d",
|
|
i, comm->peerInfo[i].version, rank, comm->peerInfo[rank].version);
|
|
ret = ncclInvalidUsage;
|
|
goto fail;
|
|
}
|
|
if (comm->peerInfo[i].hostHash != comm->peerInfo[rank].hostHash) nNodes++;
|
|
if (!comm->peerInfo[i].cuMemSupport) comm->cuMemSupport = 0;
|
|
if ((i != rank) && (comm->peerInfo[i].hostHash == comm->peerInfo[rank].hostHash) && (comm->peerInfo[i].busId == comm->peerInfo[rank].busId)) {
|
|
WARN("Duplicate GPU detected : rank %d and rank %d both on CUDA device %lx", rank, i, comm->peerInfo[rank].busId);
|
|
ret = ncclInvalidUsage;
|
|
goto fail;
|
|
}
|
|
}
|
|
|
|
// AllGather1 - end
|
|
timers[TIMER_INIT_ALLGATHER] = clockNano() - timers[TIMER_INIT_ALLGATHER];
|
|
|
|
// Check for MNNVL support
|
|
NCCLCHECKGOTO(ncclGetUserP2pLevel(&p2pLevel), ret, fail);
|
|
if ((nNodes > 1 && ncclParamMNNVLEnable() != 0 && p2pLevel != 0) || ncclParamMNNVLEnable() == 1) {
|
|
NCCLCHECKGOTO(ncclMnnvlCheck(comm), ret, fail);
|
|
}
|
|
|
|
do {
|
|
// Compute intra-process ranks
|
|
int intraProcRank0 = -1, intraProcRank = -1, intraProcRanks = 0;
|
|
for (int i = 0; i < nranks; i++) comm->minCompCap = std::min(comm->minCompCap, comm->peerInfo[i].cudaCompCap);
|
|
for (int i = 0; i < nranks; i++) comm->maxCompCap = std::max(comm->maxCompCap, comm->peerInfo[i].cudaCompCap);
|
|
|
|
comm->nvlsRegSupport = 1;
|
|
for (int i = 0; i < nranks; i++) {
|
|
if ((comm->peerInfo[i].hostHash == comm->peerInfo[rank].hostHash)
|
|
&& (comm->peerInfo[i].pidHash == comm->peerInfo[rank].pidHash)) {
|
|
// Rank is in same process
|
|
if (intraProcRanks == 0) intraProcRank0 = i;
|
|
if (i == rank) intraProcRank = intraProcRanks;
|
|
intraProcRanks++;
|
|
if (intraProcRank0 == rank && rank != i) {
|
|
comm->peerInfo[i].comm->intraNext = comm->intraNext;
|
|
comm->intraNext = comm->peerInfo[i].comm;
|
|
}
|
|
}
|
|
|
|
if (comm->nvlsRegSupport) {
|
|
for (int j = i + 1; j < nranks; j++) {
|
|
if (comm->peerInfo[i].hostHash == comm->peerInfo[j].hostHash &&
|
|
comm->peerInfo[i].pidHash == comm->peerInfo[j].pidHash) {
|
|
comm->nvlsRegSupport = 0;
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// Buffer Registration is not supported with MNNVL
|
|
if (comm->MNNVL) comm->nvlsRegSupport = 0;
|
|
|
|
TRACE(NCCL_INIT,"pidHash[%d] %lx intraProcRank %d intraProcRanks %d intraProcRank0 %d",
|
|
rank, comm->peerInfo[rank].pidHash, intraProcRank, intraProcRanks, intraProcRank0);
|
|
if (intraProcRank == -1 || intraProcRank0 == -1 || comm->peerInfo[intraProcRank0].comm == NULL) {
|
|
WARN("Failed to determine intra proc ranks rank %d hostHash %lx pidHash %lx intraProcRank %d intraProcRanks %d intraProcRank0 %d",
|
|
rank, comm->peerInfo[rank].hostHash, comm->peerInfo[rank].pidHash,
|
|
intraProcRank, intraProcRanks, intraProcRank0);
|
|
ret = ncclInternalError;
|
|
goto fail;
|
|
}
|
|
#if defined(ENABLE_NPKIT)
|
|
if (intraProcRanks != 1) {
|
|
WARN("NPKit currently does not support more than 1 device per process");
|
|
ret = ncclInternalError;
|
|
goto fail;
|
|
}
|
|
#endif
|
|
struct ncclComm* comm0 = comm->peerInfo[intraProcRank0].comm;
|
|
assert(intraProcRank==0 ? comm==comm0 : true);
|
|
comm->intraComm0 = comm0;
|
|
comm->intraRank = intraProcRank;
|
|
comm->intraRanks = intraProcRanks;
|
|
comm->intraBarrierPhase = 0;
|
|
comm->intraBarrierCounter = 0;
|
|
comm->intraBarrierGate = 0;
|
|
} while(0);
|
|
|
|
timers[TIMER_INIT_TOPO] = clockNano();
|
|
|
|
// Dump XML if requested by user
|
|
const char* dumpXmlFile;
|
|
dumpXmlFile = ncclGetEnv("NCCL_TOPO_DUMP_FILE");
|
|
if (dumpXmlFile) {
|
|
NCCLCHECKGOTO(ncclTopoGetSystem(comm, NULL, dumpXmlFile), ret, fail);
|
|
}
|
|
// Topo detection / System graph creation
|
|
NCCLCHECKGOTO(ncclTopoGetSystem(comm, &comm->topo), ret, fail);
|
|
comm->topo->tuning = rcclGetTuningIndexForArch(comm->archName);
|
|
INFO(NCCL_INIT, "Tuning index set to: %d", comm->topo->tuning);
|
|
// save nRanks to ncclTopoSystem as indicator of multi-node
|
|
comm->topo->nRanks = comm->nRanks;
|
|
// init netGdrLevel
|
|
comm->topo->netGdrLevel = -2;
|
|
// init Pivot A2A related fields
|
|
comm->topo->pivotA2AEnabled = false;
|
|
comm->topo->pivotA2ANumBiRings = 0;
|
|
// LL128
|
|
comm->topo->ll128Enabled = false;
|
|
// Topology hint for MSCCL internal scheduler about whether to enable MSCCL
|
|
comm->topo->mscclEnabled = false;
|
|
// Topology hint if tree has been defined by model or User
|
|
comm->topo->treeDefined = false;
|
|
// Compute paths between GPUs and NICs
|
|
NCCLCHECKGOTO(ncclTopoComputePaths(comm->topo, comm), ret, fail);
|
|
// Remove inaccessible GPUs and unused NICs
|
|
NCCLCHECKGOTO(ncclTopoTrimSystem(comm->topo, comm), ret, fail);
|
|
// Recompute paths after trimming
|
|
NCCLCHECKGOTO(ncclTopoComputePaths(comm->topo, comm), ret, fail);
|
|
// Init search
|
|
NCCLCHECKGOTO(ncclTopoSearchInit(comm->topo), ret, fail);
|
|
// Decide on comm's CPU architecture.
|
|
NCCLCHECKGOTO(ncclTopoComputeCommCPU(comm), ret, fail);
|
|
// Print final topology
|
|
NCCLCHECKGOTO(ncclTopoPrint(comm->topo), ret, fail);
|
|
timers[TIMER_INIT_TOPO] = clockNano() - timers[TIMER_INIT_TOPO];
|
|
|
|
// Set Affinity to a CPU local the our GPU, so that all memory we allocate
|
|
// on the host is local.
|
|
NCCLCHECKGOTO(ncclTopoGetCpuAffinity(comm->topo, comm->rank, &comm->cpuAffinity), ret, fail);
|
|
if (CPU_COUNT(&comm->cpuAffinity)) {
|
|
sched_getaffinity(0, sizeof(cpu_set_t), &affinitySave);
|
|
sched_setaffinity(0, sizeof(cpu_set_t), &comm->cpuAffinity);
|
|
}
|
|
|
|
// Determine local CollNet support
|
|
if (!collNetSupport(comm)) {
|
|
comm->config.collnetEnable = 0;
|
|
}
|
|
|
|
// Determine local Nvls support
|
|
NCCLCHECK(ncclNvlsInit(comm));
|
|
|
|
// [RCCL] Compute hostIdx (based on hostHash)
|
|
{
|
|
comm->topo->nHosts = 0;
|
|
for (int r = 0; r < nranks; r++) {
|
|
int isNewHost = 1;
|
|
// Check if this is the first time this hostname has been used
|
|
for (int i = 0; i < r && isNewHost; i++) {
|
|
if (comm->peerInfo[i].hostHash == comm->peerInfo[r].hostHash) {
|
|
isNewHost = 0;
|
|
}
|
|
}
|
|
if (isNewHost)
|
|
{
|
|
// Check if this is the same hostname associated with this rank
|
|
if (comm->peerInfo[r].hostHash == comm->peerInfo[rank].hostHash)
|
|
comm->topo->hostIdx = comm->topo->nHosts;
|
|
comm->topo->nHosts++;
|
|
}
|
|
}
|
|
}
|
|
|
|
timers[TIMER_INIT_GRAPHS] = clockNano();
|
|
// Get rings and trees
|
|
memset(ringGraph, 0, sizeof(struct ncclTopoGraph));
|
|
ringGraph->id = 0;
|
|
ringGraph->pattern = NCCL_TOPO_PATTERN_RING;
|
|
ringGraph->minChannels = 1;
|
|
ringGraph->maxChannels = MAXCHANNELS/2;
|
|
NCCLCHECKGOTO(ncclTopoCompute(comm->topo, ringGraph), ret, fail);
|
|
NCCLCHECKGOTO(ncclTopoPrintGraph(comm->topo, ringGraph), ret, fail);
|
|
|
|
memset(treeGraph, 0, sizeof(struct ncclTopoGraph));
|
|
treeGraph->id = 1;
|
|
treeGraph->pattern = NCCL_TOPO_PATTERN_BALANCED_TREE;
|
|
treeGraph->minChannels = ringGraph->nChannels;
|
|
treeGraph->maxChannels = ringGraph->nChannels;
|
|
NCCLCHECKGOTO(ncclTopoCompute(comm->topo, treeGraph), ret, fail);
|
|
NCCLCHECKGOTO(ncclTopoPrintGraph(comm->topo, treeGraph), ret, fail);
|
|
|
|
memset(collNetChainGraph, 0, sizeof(struct ncclTopoGraph));
|
|
collNetChainGraph->id = 2;
|
|
collNetChainGraph->pattern = NCCL_TOPO_PATTERN_TREE;
|
|
collNetChainGraph->collNet = 1;
|
|
collNetChainGraph->minChannels = ringGraph->nChannels;
|
|
collNetChainGraph->maxChannels = ringGraph->nChannels;
|
|
|
|
memset(collNetDirectGraph, 0, sizeof(struct ncclTopoGraph));
|
|
collNetDirectGraph->id = 4;
|
|
collNetDirectGraph->pattern = NCCL_TOPO_PATTERN_COLLNET_DIRECT;
|
|
collNetDirectGraph->collNet = 1;
|
|
collNetDirectGraph->minChannels = 1;
|
|
collNetDirectGraph->maxChannels = MAXCHANNELS;
|
|
if (comm->config.collnetEnable) {
|
|
NCCLCHECKGOTO(ncclTopoCompute(comm->topo, collNetChainGraph), ret, fail);
|
|
NCCLCHECKGOTO(ncclTopoPrintGraph(comm->topo, collNetChainGraph), ret, fail);
|
|
NCCLCHECKGOTO(ncclTopoCompute(comm->topo, collNetDirectGraph), ret, fail);
|
|
NCCLCHECKGOTO(ncclTopoPrintGraph(comm->topo, collNetDirectGraph), ret, fail);
|
|
}
|
|
|
|
memset(nvlsGraph, 0, sizeof(struct ncclTopoGraph));
|
|
nvlsGraph->id = 3;
|
|
nvlsGraph->pattern = NCCL_TOPO_PATTERN_NVLS;
|
|
nvlsGraph->minChannels = 1;
|
|
nvlsGraph->maxChannels = MAXCHANNELS;
|
|
if (comm->nvlsSupport) {
|
|
NCCLCHECKGOTO(ncclTopoCompute(comm->topo, nvlsGraph), ret, fail);
|
|
NCCLCHECKGOTO(ncclTopoPrintGraph(comm->topo, nvlsGraph), ret, fail);
|
|
}
|
|
timers[TIMER_INIT_GRAPHS] = clockNano() - timers[TIMER_INIT_GRAPHS];
|
|
|
|
bool allXgmi, hasPeerAccess;
|
|
allXgmi = true;
|
|
hasPeerAccess = true;
|
|
// Check that all the GPUs have peer access to one another and are XGMI connected
|
|
for (int i = 0; i < nranks && hasPeerAccess; i++) {
|
|
int cudaDev1 = comm->peerInfo[i].cudaDev;
|
|
for (int j = 0; j < nranks; j++) {
|
|
if (i == j) continue;
|
|
int cudaDev2 = comm->peerInfo[j].cudaDev;
|
|
int p2p;
|
|
if (hipDeviceCanAccessPeer(&p2p, cudaDev1, cudaDev2) != hipSuccess || !p2p)
|
|
{
|
|
hasPeerAccess = false;
|
|
break;
|
|
}
|
|
|
|
bool isXGMI;
|
|
// Limit to single intermediate GPU for enabling clique
|
|
NCCLCHECK(ncclTopoGetLinkType(comm->topo, i, j, &isXGMI, 1));
|
|
allXgmi &= isXGMI;
|
|
}
|
|
}
|
|
// Initialize num P2P LL buffers for this communicator
|
|
comm->allocP2pNetLLBuffers = ncclParamAllocP2pNetLLBuffers() == 1;
|
|
|
|
if (comm->rank == ncclParamGraphDumpFileRank()) {
|
|
struct ncclTopoGraph* dumpGraphs[5] = { ringGraph, treeGraph, collNetDirectGraph, collNetChainGraph, nvlsGraph };
|
|
NCCLCHECKGOTO(ncclTopoDumpGraphs(comm->topo, 5, dumpGraphs), ret, fail);
|
|
}
|
|
|
|
if ((comm->topo->type & RCCL_TOPO_4P2H_ROME) && (comm->topo->type & RCCL_TOPO_GDR_ALL)) {
|
|
if (rcclParamP2pNetDisable() == 0) {
|
|
if (!(comm->topo->type & RCCL_TOPO_FORCE_INTRA)) 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");
|
|
}
|
|
// Because timers[[TIMER_INIT_ALLGATHER] already contains the timing of the first allgather,
|
|
// we temporarily store the start time of the subsequent one in an as-of-yet unused CONNECT timer.
|
|
timers[TIMER_INIT_CONNECT] = clockNano();
|
|
// AllGather3 - begin
|
|
NCCLCHECKGOTO(ncclCalloc(&allGather3Data, nranks), ret, fail);
|
|
int idx;
|
|
NCCLCHECK(ncclTopoIdToIndex(comm->topo, GPU, comm->busId, &idx));
|
|
allGather3Data[rank].nc = 2;
|
|
if (comm->topo->nodes[GPU].count == comm->topo->nRanks &&
|
|
IsArchMatch(comm->topo->nodes[GPU].nodes[idx].gpu.gcn, "gfx906") && allXgmi)
|
|
allGather3Data[rank].nc = 4;
|
|
if (IsArchMatch(comm->topo->nodes[GPU].nodes[idx].gpu.gcn, "gfx908"))
|
|
allGather3Data[rank].nc = std::max(4/ringGraph->nChannels, 2);
|
|
if (comm->topo->nodes[GPU].count == comm->topo->nRanks &&
|
|
(comm->topo->type & RCCL_TOPO_CR8G))
|
|
allGather3Data[rank].nc = 4;
|
|
if (comm->topo->nodes[GPU].count == comm->topo->nRanks &&
|
|
IsArchMatch(comm->topo->nodes[GPU].nodes[idx].gpu.gcn, "gfx90a"))
|
|
allGather3Data[rank].nc = 4;
|
|
if (IsArchMatch(comm->topo->nodes[GPU].nodes[idx].gpu.gcn, "gfx90a"))
|
|
allGather3Data[rank].nc = std::max(allGather3Data[rank].nc, 4/ringGraph->nChannels);
|
|
if (ringGraph->nChannels > MAXCHANNELS/2)
|
|
allGather3Data[rank].nc = 1;
|
|
comm -> gfx9CheapFenceOff = 1;
|
|
#ifdef HIP_UNCACHED_MEMORY
|
|
if(!rcclParamGfx9CheapFenceOff()){
|
|
if(IsArchMatch(comm->topo->nodes[GPU].nodes[idx].gpu.gcn, "gfx942")){
|
|
comm -> gfx9CheapFenceOff = 0;
|
|
}
|
|
else if(IsArchMatch(comm->topo->nodes[GPU].nodes[idx].gpu.gcn, "gfx950")){
|
|
comm -> gfx9CheapFenceOff = ROCM_VERSION < 70002 && nNodes > 1; // Enable for single node only prior to ROCm 7.0.2
|
|
}
|
|
}
|
|
INFO(NCCL_INIT, "GFX9 cheap fence is %s", comm -> gfx9CheapFenceOff ? "OFF" : "ON");
|
|
#endif
|
|
// RCCL: Only use one slice per primitive on some single node gfx9xx systems, only currently enabled for AllReduce, ReduceScatter, and AllGather
|
|
if (IsArchMatch(comm->topo->nodes[GPU].nodes[idx].gpu.gcn, "gfx942") || IsArchMatch(comm->topo->nodes[GPU].nodes[idx].gpu.gcn, "gfx950")){
|
|
comm->rcclUseOneSlice = nNodes == 1;
|
|
}
|
|
if (IsArchMatch(comm->topo->nodes[GPU].nodes[idx].gpu.gcn, "gfx942")) {
|
|
// Multi-node MI300A
|
|
int managed = 0;
|
|
CUDACHECK(hipDeviceGetAttribute(&managed, hipDeviceAttributeDirectManagedMemAccessFromHost, 0));
|
|
if (managed && nNodes > 1) {
|
|
// This forces the minimum channels to 24
|
|
allGather3Data[rank].nc = 6;
|
|
} else {
|
|
// MI300X
|
|
if (nranks == 2)
|
|
// NCCL_MIN_NCHANNELS=32
|
|
allGather3Data[rank].nc = 16;
|
|
else if (nranks == 4)
|
|
// NCCL_MIN_NCHANNELS=24
|
|
allGather3Data[rank].nc = 4;
|
|
}
|
|
}
|
|
#ifdef ENABLE_WARP_SPEED
|
|
comm->topo->warpSpeedEnabled = (rcclParamWarpSpeedEnable() != 0 || rcclParamWarpSpeedAutoMode() != 0 || rcclParamWarpSpeedCuCount() > 0);
|
|
#endif
|
|
|
|
// For single node communicators that do not uses the full xgmi links per gpu, i.e., nranks < 8
|
|
// Inflate the nChannels a bit to achieve higher b/w.
|
|
if (IsArchMatch(comm->topo->nodes[GPU].nodes[idx].gpu.gcn, "gfx950")) {
|
|
if (nranks == 2 && nNodes == 1){
|
|
allGather3Data[rank].nc = 16;
|
|
} else if (nranks == 4 && nNodes == 1){
|
|
allGather3Data[rank].nc = 8;
|
|
} else {
|
|
allGather3Data[rank].nc = 4;
|
|
}
|
|
}
|
|
#ifdef ENABLE_WARP_SPEED
|
|
// Double default channels for WarpSpeed enabled communicators
|
|
if (comm->topo->warpSpeedEnabled) {
|
|
allGather3Data[rank].nc *= 2;
|
|
}
|
|
#endif
|
|
allGather3Data[rank].pivotA2AEnabled = comm->topo->pivotA2AEnabled && rcclParamPivotAlltoallEnable();
|
|
comm->topo->ll128Enabled = comm->topo->ll128Enabled || rcclParamLL128ForceEnable();
|
|
allGather3Data[rank].ll128Enabled = comm->topo->ll128Enabled;
|
|
allGather3Data[rank].mscclEnabled = comm->topo->mscclEnabled;
|
|
|
|
for (int a=0; a<NCCL_NUM_ALGORITHMS; a++) {
|
|
allGather3Data[rank].graphInfo[a].pattern = graphs[a]->pattern;
|
|
allGather3Data[rank].graphInfo[a].nChannels = graphs[a]->nChannels;
|
|
allGather3Data[rank].graphInfo[a].sameChannels = graphs[a]->sameChannels;
|
|
allGather3Data[rank].graphInfo[a].bwIntra = graphs[a]->bwIntra;
|
|
allGather3Data[rank].graphInfo[a].bwInter = graphs[a]->bwInter;
|
|
allGather3Data[rank].graphInfo[a].typeIntra = graphs[a]->typeIntra;
|
|
allGather3Data[rank].graphInfo[a].typeInter = graphs[a]->typeInter;
|
|
allGather3Data[rank].graphInfo[a].crossNic = graphs[a]->crossNic;
|
|
}
|
|
|
|
allGather3Data[rank].cpuArch = comm->cpuArch;
|
|
allGather3Data[rank].cpuVendor = comm->cpuVendor;
|
|
|
|
comm->nChannels = std::min(treeGraph->nChannels, ringGraph->nChannels);
|
|
NCCLCHECKGOTO(ncclTopoPreset(comm, graphs, &allGather3Data[rank].topoRanks), ret, fail);
|
|
|
|
NCCLCHECKGOTO(bootstrapAllGather(comm->bootstrap, allGather3Data, sizeof(*allGather3Data)), ret, fail);
|
|
|
|
// Determine nNodes, firstRanks, ...
|
|
NCCLCHECKGOTO(ncclCalloc(&nodesFirstRank, nranks), ret, fail);
|
|
NCCLCHECKGOTO(ncclCalloc(&nodesTreePatterns, nranks), ret, fail);
|
|
NCCLCHECKGOTO(ncclCalloc(&comm->rankToNode, comm->nRanks), ret, fail);
|
|
for (int r=0; r<nranks; r++) {
|
|
int node;
|
|
int firstRank = allGather3Data[r].topoRanks.ringRecv[0];
|
|
for (node=0; node<comm->nNodes && nodesFirstRank[node] != firstRank; node++);
|
|
if (node == comm->nNodes) {
|
|
comm->nNodes++;
|
|
nodesFirstRank[node] = firstRank;
|
|
// Record tree pattern of each node as they can be different depending on sm arch
|
|
nodesTreePatterns[node] = allGather3Data[r].graphInfo[NCCL_ALGO_TREE].pattern;
|
|
}
|
|
comm->rankToNode[r] = node;
|
|
|
|
if (comm->cpuArch != allGather3Data[r].cpuArch &&
|
|
comm->cpuArch != NCCL_TOPO_CPU_ARCH_MIXED) {
|
|
comm->cpuArch = NCCL_TOPO_CPU_ARCH_MIXED;
|
|
}
|
|
if (comm->cpuVendor != allGather3Data[r].cpuVendor &&
|
|
comm->cpuVendor != NCCL_TOPO_CPU_VENDOR_MIXED) {
|
|
comm->cpuVendor = NCCL_TOPO_CPU_VENDOR_MIXED;
|
|
}
|
|
}
|
|
|
|
// Alert the user to the presence of mixed CPUs. In the past this has caused
|
|
// locks in some collective routines. This may help debug issues in the future.
|
|
if (rank==0) {
|
|
if (comm->cpuArch == NCCL_TOPO_CPU_ARCH_MIXED) {
|
|
INFO(NCCL_GRAPH, "CPUs with mixed architecture were detected.");
|
|
}
|
|
if (comm->cpuVendor == NCCL_TOPO_CPU_VENDOR_MIXED) {
|
|
INFO(NCCL_GRAPH, "CPUs with mixed vendors were detected.");
|
|
}
|
|
}
|
|
|
|
// Now that we know nNodes, alloc nodeRanks and compute localRanks for each node
|
|
NCCLCHECKGOTO(ncclCalloc(&comm->nodeRanks, comm->nNodes), ret, fail);
|
|
NCCLCHECKGOTO(ncclCalloc(&comm->rankToLocalRank, comm->nRanks), ret, fail);
|
|
for (int r=0; r<comm->nRanks; r++) {
|
|
int node = comm->rankToNode[r];
|
|
comm->rankToLocalRank[r] = comm->nodeRanks[node].localRanks;
|
|
comm->nodeRanks[node].localRanks++;
|
|
}
|
|
// Allocate ranks arrays for each node
|
|
for (int n=0; n<comm->nNodes; n++) {
|
|
NCCLCHECKGOTO(ncclCalloc(&comm->nodeRanks[n].localRankToRank, comm->nodeRanks[n].localRanks), ret, fail);
|
|
comm->maxLocalRanks = std::max(comm->maxLocalRanks, comm->nodeRanks[n].localRanks);
|
|
comm->nodeRanks[n].localRanks = 0;
|
|
}
|
|
// And fill the ranks arrays
|
|
for (int r=0; r<comm->nRanks; r++) {
|
|
int node = comm->rankToNode[r];
|
|
comm->nodeRanks[node].localRankToRank[comm->nodeRanks[node].localRanks++] = r;
|
|
}
|
|
comm->node = comm->rankToNode[rank];
|
|
comm->localRankToRank = comm->nodeRanks[comm->node].localRankToRank;
|
|
comm->localRank = comm->rankToLocalRank[rank];
|
|
comm->localRanks = comm->nodeRanks[comm->node].localRanks;
|
|
|
|
TRACE(NCCL_INIT,"hostHash[%d] %lx localRank %d localRanks %d localRank0 %d",
|
|
rank, comm->peerInfo[rank].hostHash, comm->localRank, comm->localRanks, comm->localRankToRank[0]);
|
|
if (comm->localRank == -1 || comm->localRankToRank[0] == -1 || comm->localRanks == 0) {
|
|
WARN("Failed to determine local ranks rank %d hostHash %lx pidHash %lx localRank %d localRanks %d localRank0 %d",
|
|
rank, comm->peerInfo[rank].hostHash, comm->peerInfo[rank].pidHash,
|
|
comm->localRank, comm->localRanks, comm->localRankToRank[0]);
|
|
ret = ncclInternalError;
|
|
goto fail;
|
|
}
|
|
|
|
INFO(NCCL_INIT, "comm %p rank %d nRanks %d nNodes %d localRanks %d localRank %d MNNVL %d",
|
|
comm, rank, comm->nRanks, comm->nNodes, comm->localRanks, comm->localRank, comm->MNNVL);
|
|
|
|
nChannelsOrig = comm->nChannels;
|
|
NCCLCHECKGOTO(ncclCalloc(&allTopoRanks, comm->nRanks), ret, fail);
|
|
int nc;
|
|
nc = allGather3Data[0].nc;
|
|
for (int i=0; i<nranks; i++) {
|
|
allTopoRanks[i] = &allGather3Data[i].topoRanks;
|
|
nc = std::min(allGather3Data[i].nc, nc);
|
|
// Make sure we align all ranks so that the tuning is consistent across ranks
|
|
comm->topo->pivotA2AEnabled = comm->topo->pivotA2AEnabled && allGather3Data[i].pivotA2AEnabled;
|
|
comm->topo->ll128Enabled = comm->topo->ll128Enabled && allGather3Data[i].ll128Enabled;
|
|
comm->topo->mscclEnabled = comm->topo->mscclEnabled && allGather3Data[i].mscclEnabled;
|
|
for (int a=0; a<NCCL_NUM_ALGORITHMS; a++) {
|
|
graphs[a]->nChannels = std::min(allGather3Data[i].graphInfo[a].nChannels, graphs[a]->nChannels);
|
|
graphs[a]->sameChannels = std::min(allGather3Data[i].graphInfo[a].sameChannels, graphs[a]->sameChannels);
|
|
graphs[a]->bwIntra = std::min(allGather3Data[i].graphInfo[a].bwIntra, graphs[a]->bwIntra);
|
|
graphs[a]->bwInter = std::min(allGather3Data[i].graphInfo[a].bwInter, graphs[a]->bwInter);
|
|
graphs[a]->typeIntra = std::max(allGather3Data[i].graphInfo[a].typeIntra, graphs[a]->typeIntra);
|
|
graphs[a]->typeInter = std::max(allGather3Data[i].graphInfo[a].typeInter, graphs[a]->typeInter);
|
|
graphs[a]->crossNic = std::max(allGather3Data[i].graphInfo[a].crossNic, graphs[a]->crossNic);
|
|
}
|
|
comm->maxTreePattern = std::max(comm->maxTreePattern, allGather3Data[i].graphInfo[NCCL_ALGO_TREE].pattern);
|
|
}
|
|
if (graphs[NCCL_ALGO_COLLNET_CHAIN]->nChannels == 0) comm->config.collnetEnable = 0;
|
|
if (graphs[NCCL_ALGO_NVLS]->nChannels == 0) comm->nvlsSupport = comm->nvlsChannels = 0;
|
|
|
|
comm->nChannels = treeGraph->nChannels = ringGraph->nChannels =
|
|
(comm->topo->nodes[GPU].count != comm->topo->nRanks && comm->topo->nodes[NET].count)
|
|
? std::min(treeGraph->nChannels, ringGraph->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 and each node localRanks
|
|
if (comm->config.collnetEnable == 1) {
|
|
int collNetNodeThreshold = ncclParamCollNetNodeThreshold();
|
|
if (comm->nNodes < collNetNodeThreshold) {
|
|
INFO(NCCL_INIT, "Communicator has %d nodes which is less than CollNet node threshold %d, disabling CollNet", comm->nNodes, collNetNodeThreshold);
|
|
comm->config.collnetEnable = 0;
|
|
}
|
|
}
|
|
NCCLCHECK(ncclTopoPathAllNVLink(comm->topo, &comm->isAllNvlink));
|
|
comm->isOneRPN = (comm->maxLocalRanks == 1);
|
|
|
|
NCCLCHECKGOTO(ncclCalloc(&rings, nranks*MAXCHANNELS), ret, fail);
|
|
|
|
NCCLCHECKGOTO(ncclTopoPostset(comm, nodesFirstRank, nodesTreePatterns, allTopoRanks, rings, graphs, parent, nc), ret, fail);
|
|
if (comm->topo->treeDefined) NCCLCHECK(ncclTreeBasePostset(comm, treeGraph));
|
|
|
|
// AllGather3 - end
|
|
timers[TIMER_INIT_ALLGATHER] += clockNano() - timers[TIMER_INIT_CONNECT];
|
|
|
|
TRACE(NCCL_INIT, "rank %d nranks %d - BUILT %d TREES/RINGS", rank, nranks, comm->nChannels);
|
|
|
|
char line[4096];
|
|
line[0]='\0';
|
|
for (int c=0; c<comm->nChannels; c++) {
|
|
struct ncclTree* tree = &comm->channels[c].tree;
|
|
snprintf(line+strlen(line), 2047-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 comm %p nRanks %02d busId %lx", c, comm->channels[c].ring.prev,
|
|
comm->rank, comm->channels[c].ring.next, comm, comm->nRanks, comm->busId);
|
|
}
|
|
line[4095] = '\0';
|
|
INFO(NCCL_INIT, "Trees%s comm %p nRanks %02d busId %lx", line, comm, comm->nRanks, comm->busId);
|
|
|
|
NCCLCHECKGOTO(computeBuffSizes(comm), ret, fail);
|
|
|
|
// Compute nChannels per peer for p2p
|
|
NCCLCHECKGOTO(ncclTopoComputeP2pChannels(comm), ret, fail);
|
|
|
|
/* until now, all info of comm should be known. We can initialize shared resources and
|
|
* map localRanks to top parent local ranks. NOTE: this shareRes init must be put before
|
|
* all proxy operations. */
|
|
if (comm->sharedRes->owner == comm) {
|
|
comm->sharedRes->tpNLocalRanks = comm->localRanks;
|
|
comm->sharedRes->magic = comm->magic;
|
|
comm->sharedRes->tpNChannels = comm->nChannels;
|
|
comm->sharedRes->tpP2pNChannels = comm->p2pnChannels;
|
|
memcpy(comm->sharedRes->tpRankToLocalRank, comm->rankToLocalRank, sizeof(int) * comm->nRanks);
|
|
}
|
|
NCCLCHECKGOTO(ncclCalloc(&topParentLocalRanks, comm->localRanks), ret, fail);
|
|
for (int i = 0; i < comm->localRanks; ++i) {
|
|
int tpRank = comm->topParentRanks[comm->localRankToRank[i]];
|
|
topParentLocalRanks[i] = comm->sharedRes->tpRankToLocalRank[tpRank];
|
|
}
|
|
comm->topParentLocalRanks = topParentLocalRanks;
|
|
|
|
// Profiler plugin context has to be initialized before proxy thread
|
|
NCCLCHECK(ncclProfilerPluginInit(comm));
|
|
|
|
NCCLCHECKGOTO(ncclTransportCheckP2pType(comm, &comm->isAllDirectP2p, &comm->directMode), ret, fail);
|
|
// Launch proxy service thread, after this, the proxy calls can be used.
|
|
if (parent && parent->shareResources) {
|
|
comm->proxyState = parent->sharedRes->proxyState;
|
|
ncclAtomicRefCountIncrement(&parent->sharedRes->proxyState->refCount);
|
|
} else {
|
|
NCCLCHECKGOTO(ncclProxyCreate(comm), ret, fail);
|
|
}
|
|
NCCLCHECKGOTO(ncclCalloc(&comm->gproxyConn, comm->nRanks), ret, fail);
|
|
|
|
timers[TIMER_INIT_CONNECT] = clockNano();
|
|
do { // Build p2p schedule
|
|
int node = comm->node;
|
|
int nNodes = comm->nNodes;
|
|
int nRanks = comm->nRanks;
|
|
int local = comm->localRank;
|
|
int nLocals = comm->maxLocalRanks;
|
|
struct ncclNodeRanks* nodeRanks = comm->nodeRanks;
|
|
bool flat = false;
|
|
for (int node = 0; node < nNodes; node++) {
|
|
if (nodeRanks[node].localRanks != nLocals) {
|
|
flat = true;
|
|
nNodes = 1; node = 0;
|
|
nLocals = nRanks; local = rank;
|
|
break;
|
|
}
|
|
}
|
|
int nNodesPow2 = pow2Up(nNodes);
|
|
int nLocalsPow2 = pow2Up(nLocals);
|
|
comm->p2pSchedule = ncclMemoryStackAlloc<ncclComm::P2pSchedulePair>(&comm->memPermanent, nRanks);
|
|
comm->planner.peers = ncclMemoryStackAlloc<ncclKernelPlanner::Peer>(&comm->memPermanent, nRanks);
|
|
uint32_t nodeRound = 0;
|
|
uint32_t nodeDelta = 0;
|
|
int round = 0;
|
|
// When enumerating peer deltas we use the quadratic formula (x*x+x)/2 mod N.
|
|
// Since that formula only produces valid permutations when N is a pow of 2,
|
|
// we let N = pow2Up(n) and filter out results greater-eq to n.
|
|
// Example sequence for 16 ranks: 0, 1, 3, 6, 10, 15, 5, 12, 4, 13, 7, 2, 14, 11, 9, 8
|
|
do {
|
|
if (nodeDelta < nNodes) { // Filter nonsensical node deltas
|
|
int sendNode = (node + nodeDelta) % nNodes;
|
|
int recvNode = (node - nodeDelta + nNodes) % nNodes;
|
|
uint32_t localRound = 0;
|
|
uint32_t localDelta = 0;
|
|
do {
|
|
if (localDelta < nLocals) { // Filter nonsensical node-local deltas
|
|
int sendLocal = (local + localDelta) % nLocals;
|
|
int recvLocal = (local - localDelta + nLocals) % nLocals;
|
|
comm->p2pSchedule[round].sendRank = flat ? sendLocal : nodeRanks[sendNode].localRankToRank[sendLocal];
|
|
comm->p2pSchedule[round].recvRank = flat ? recvLocal : nodeRanks[recvNode].localRankToRank[recvLocal];
|
|
round += 1;
|
|
}
|
|
localRound += 1;
|
|
localDelta = (localDelta + localRound) & (nLocalsPow2 - 1); // Quadratic update
|
|
} while (localRound != nLocalsPow2);
|
|
}
|
|
nodeRound += 1;
|
|
nodeDelta = (nodeDelta + nodeRound) & (nNodesPow2 - 1); // Quadratic update
|
|
} while (nodeRound != nNodesPow2);
|
|
|
|
if (round != nRanks) {
|
|
WARN("P2p schedule creation has bugs.");
|
|
ret = ncclInternalError;
|
|
goto fail;
|
|
}
|
|
} while (0);
|
|
|
|
comm->runtimeConn = comm->cuMemSupport && ncclParamRuntimeConnect();
|
|
if (comm->runtimeConn) {
|
|
for (int c=0; c<comm->nChannels; c++) {
|
|
NCCLCHECKGOTO(setupChannel(comm, c, rank, nranks, rings+c*nranks), ret, fail);
|
|
}
|
|
// Attempt to setup NVLS, may silently fail and disable NVLS
|
|
NCCLCHECKGOTO(ncclNvlsSetup(comm, parent), ret, fail);
|
|
// Check if we can setup CollNet
|
|
if (comm->config.collnetEnable) ncclCollNetSetup(comm, parent, graphs);
|
|
} else {
|
|
for (int c=0; c<comm->nChannels; c++) {
|
|
NCCLCHECKGOTO(setupChannel(comm, c, rank, nranks, rings+c*nranks), ret, fail);
|
|
}
|
|
NCCLCHECKGOTO(ncclTransportRingConnect(comm), ret, fail);
|
|
|
|
// Connect NET for intranode use
|
|
if (comm->graphs[NCCL_ALGO_RING].nIntraChannels && rcclParamP2pNetDisable() == 0) {
|
|
comm->useIntraNet = 1;
|
|
for (int c = 0; c < comm->nChannels; c++) {
|
|
struct ncclChannel* channel = comm->channels+c;
|
|
if (comm->nRanks == 1) continue;
|
|
NCCLCHECKGOTO(ncclTransportP2pConnect(comm, c, 1, &channel->ring.prev, 1, &channel->ring.next, NCCL_CONN_IDX_P2P_NET), ret, fail);
|
|
}
|
|
NCCLCHECKGOTO(ncclTransportP2pSetup(comm, &comm->graphs[NCCL_ALGO_RING], NCCL_CONN_IDX_P2P_NET), ret, fail);
|
|
}
|
|
|
|
// Connect Trees
|
|
NCCLCHECKGOTO(ncclTransportTreeConnect(comm), ret, fail);
|
|
|
|
// Connect PAT only for communicators with 1 GPU per node
|
|
if (comm->maxLocalRanks == 1) NCCLCHECKGOTO(ncclTransportPatConnect(comm), ret, fail);
|
|
|
|
// Attempt to setup NVLS, may silently fail and disable NVLS
|
|
NCCLCHECKGOTO(ncclNvlsSetup(comm, parent), ret, fail);
|
|
NCCLCHECKGOTO(ncclNvlsBufferSetup(comm), ret, fail);
|
|
|
|
// And NVLS trees if needed
|
|
NCCLCHECKGOTO(ncclNvlsTreeConnect(comm), ret, fail);
|
|
|
|
// Check if we can setup CollNet
|
|
if (comm->config.collnetEnable) {
|
|
ncclCollNetSetup(comm, parent, graphs);
|
|
NCCLCHECKGOTO(ncclCollNetChainBufferSetup(comm), ret, fail);
|
|
if (comm->maxLocalRanks <= NCCL_MAX_DIRECT_ARITY+1) {
|
|
NCCLCHECKGOTO(ncclCollNetDirectBufferSetup(comm), ret, fail);
|
|
}
|
|
}
|
|
|
|
// Connect to local net proxy
|
|
NCCLCHECKGOTO(ncclProxyConnect(comm, TRANSPORT_NET, 1, comm->rank, &proxyConn), ret, fail);
|
|
NCCLCHECKGOTO(ncclProxyCallBlocking(comm, &proxyConn, ncclProxyMsgSharedInit, &comm->p2pnChannels, sizeof(int), NULL, 0), ret, fail);
|
|
|
|
// Then to remote ones when using PXN
|
|
if (ncclPxnDisable(comm) == 0) {
|
|
int nranks;
|
|
NCCLCHECKGOTO(ncclTopoGetPxnRanks(comm, &pxnPeers, &nranks), ret, fail);
|
|
for (int r=0; r<nranks; r++) {
|
|
NCCLCHECKGOTO(ncclProxyConnect(comm, TRANSPORT_NET, 1, pxnPeers[r], &proxyConn), ret, fail);
|
|
NCCLCHECKGOTO(ncclProxyCallBlocking(comm, &proxyConn, ncclProxyMsgSharedInit, &comm->p2pnChannels, sizeof(int), NULL, 0), ret, fail);
|
|
}
|
|
}
|
|
|
|
if (ncclParamNvbPreconnect()) {
|
|
// Connect p2p when using NVB path
|
|
int nvbNpeers;
|
|
NCCLCHECKGOTO(ncclTopoGetNvbGpus(comm->topo, comm->rank, &nvbNpeers, &nvbPeers), ret, fail);
|
|
for (int r=0; r<nvbNpeers; r++) {
|
|
int peer = nvbPeers[r];
|
|
int sendRound=0, recvRound=0;
|
|
while (comm->p2pSchedule[sendRound].sendRank != peer) sendRound++;
|
|
while (comm->p2pSchedule[recvRound].recvRank != peer) recvRound++;
|
|
uint8_t sendBase = ncclP2pChannelBaseForRound(comm, sendRound);
|
|
uint8_t recvBase = ncclP2pChannelBaseForRound(comm, recvRound);
|
|
for (int c=0; c<comm->p2pnChannelsPerPeer; c++) {
|
|
int channelId;
|
|
channelId = ncclP2pChannelForPart(comm->p2pnChannels, sendBase, c, comm->p2pnChannelsPerPeer, comm->nNodes);
|
|
if (comm->channels[channelId].peers[peer]->send[1].connected == 0) {
|
|
comm->connectSend[peer].masks[channelId/64] |= (1UL<<(channelId%64));
|
|
}
|
|
channelId = ncclP2pChannelForPart(comm->p2pnChannels, recvBase, c, comm->p2pnChannelsPerPeer, comm->nNodes);
|
|
if (comm->channels[channelId].peers[peer]->recv[1].connected == 0) {
|
|
comm->connectRecv[peer].masks[channelId/64] |= (1UL<<(channelId%64));
|
|
}
|
|
}
|
|
}
|
|
|
|
NCCLCHECKGOTO(ncclTransportP2pSetup(comm, NULL, 1), ret, fail);
|
|
}
|
|
}
|
|
|
|
TRACE(NCCL_INIT, "rank %d nranks %d - CONNECTED %d RINGS AND TREES", rank, nranks, comm->nChannels);
|
|
|
|
// Compute time models for algorithm and protocol combinations
|
|
NCCLCHECKGOTO(ncclTopoTuneModel(comm, comm->minCompCap, comm->maxCompCap, graphs), ret, fail);
|
|
|
|
INFO(NCCL_INIT, "comm:%p, nRanks:%d, nNodes:%d, coll channels:%d collnet channels:%d, nvls channels:%d, p2p channels:%d, p2p channels per peer:%d", comm, comm->nRanks, comm->nNodes, comm->nChannels, comm->nChannels, comm->nvlsChannels, comm->p2pnChannels, comm->p2pnChannelsPerPeer);
|
|
|
|
if (comm->intraRank == 0) { // Load ncclParamLaunchMode
|
|
const char* str = ncclGetEnv("NCCL_LAUNCH_MODE");
|
|
enum ncclLaunchMode mode, modeOld;
|
|
if (str && strcasecmp(str, "GROUP") == 0) {
|
|
mode = ncclLaunchModeGroup;
|
|
} else {
|
|
mode = ncclLaunchModeParallel;
|
|
}
|
|
// In theory we could be racing with other communicators not associated with
|
|
// this one if the user is connecting to multiple ncclUniqueId's concurrently.
|
|
modeOld = __atomic_exchange_n(&ncclParamLaunchMode, mode, __ATOMIC_RELAXED);
|
|
if (modeOld == ncclLaunchModeInvalid && str && str[0]!='\0') {
|
|
INFO(NCCL_ENV, "NCCL_LAUNCH_MODE set by environment to %s", mode == ncclLaunchModeParallel ? "PARALLEL" : "GROUP");
|
|
}
|
|
}
|
|
|
|
comm->symmetricSupport = comm->isAllDirectP2p && comm->nNodes == 1 && ncclParamWinEnable() && ncclCuMemEnable();
|
|
comm->baseStride = 0;
|
|
|
|
// Call devCommSetup before the last barrier, making sure we don't have a thread running in front and starting to
|
|
// launch NCCL kernels before all cuda mem allocation is complete. That could cause a deadlock.
|
|
NCCLCHECKGOTO(devCommSetup(comm), ret, fail);
|
|
|
|
timers[TIMER_INIT_CONNECT] = clockNano() - timers[TIMER_INIT_CONNECT];
|
|
|
|
if (mscclEnabled() && (comm->topo->mscclEnabled || mscclForceEnabled())) {
|
|
NCCLCHECK(mscclInit(comm));
|
|
mscclStatus& status = mscclGetStatus(comm);
|
|
status.needsProxy |= mscclNeedsProxy;
|
|
}
|
|
|
|
/* Local intra-node barrier */
|
|
NCCLCHECKGOTO(bootstrapIntraNodeBarrier(comm->bootstrap, comm->localRankToRank, comm->localRank, comm->localRanks, comm->localRankToRank[0]), ret, fail);
|
|
|
|
// We should have allocated all buffers, collective fifos, ... we can
|
|
// restore the affinity.
|
|
TRACE(NCCL_INIT, "rank %d nranks %d - DONE", rank, nranks);
|
|
|
|
exit:
|
|
if (CPU_COUNT(&comm->cpuAffinity)) sched_setaffinity(0, sizeof(cpu_set_t), &affinitySave);
|
|
/* If split resource is shared, we are not able to unlink the proxy ops pool here since the child comm can
|
|
* attach the proxy ops pool of parent at any time; otherwise, unlink it here to make sure the pool will be
|
|
* properly cleaned up. */
|
|
if (comm->sharedRes->owner == comm && !comm->shareResources && ret == ncclSuccess && !ncclCuMemEnable()) ncclProxyShmUnlink(comm);
|
|
free(allTopoRanks);
|
|
free(nodesTreePatterns);
|
|
free(nodesFirstRank);
|
|
free(allGather3Data);
|
|
free(rings);
|
|
free(nvbPeers);
|
|
free(pxnPeers);
|
|
return ret;
|
|
fail:
|
|
goto exit;
|
|
}
|
|
|
|
#ifdef USE_INDIRECT_FUNCTION_CALL
|
|
NCCL_PARAM(SetStackSize, "SET_STACK_SIZE", 1);
|
|
#else
|
|
NCCL_PARAM(SetStackSize, "SET_STACK_SIZE", 0);
|
|
#endif
|
|
RCCL_PARAM(StackSizeOverride, "STACK_SIZE_OVERRIDE", 0);
|
|
|
|
NCCL_PARAM(CGAClusterSize, "CGA_CLUSTER_SIZE", NCCL_CONFIG_UNDEF_INT);
|
|
// Match config max/minCTAs
|
|
NCCL_PARAM(MaxCTAs, "MAX_CTAS", NCCL_CONFIG_UNDEF_INT);
|
|
NCCL_PARAM(MinCTAs, "MIN_CTAS", NCCL_CONFIG_UNDEF_INT);
|
|
#define NCCL_MAX_CGA_CLUSTER_SIZE 8
|
|
|
|
#define NCCL_COMMINIT_FUNCNAME_LEN 128
|
|
struct ncclCommInitRankAsyncJob {
|
|
struct ncclAsyncJob base;
|
|
struct ncclComm* comm;
|
|
struct ncclComm** newcomm;
|
|
int cudaDev;
|
|
// For ncclCommInitRank
|
|
int nranks, myrank, nId;
|
|
ncclUniqueId* commId;
|
|
// for ncclCommSplit
|
|
struct ncclComm* parent;
|
|
int color, key;
|
|
int splitCount;
|
|
// For Shrink
|
|
int* excludeRanksList;
|
|
int excludeRanksCount;
|
|
// name of the function calling
|
|
char funcName[NCCL_COMMINIT_FUNCNAME_LEN];
|
|
};
|
|
|
|
struct ncclCommFinalizeAsyncJob {
|
|
struct ncclAsyncJob base;
|
|
ncclComm_t comm;
|
|
};
|
|
|
|
NCCL_PARAM(CommSplitShareResources, "COMM_SPLIT_SHARE_RESOURCES", NCCL_CONFIG_UNDEF_INT);
|
|
NCCL_PARAM(CommShrinkShareResources, "COMM_SHRINK_SHARE_RESOURCES", NCCL_CONFIG_UNDEF_INT);
|
|
|
|
typedef struct{
|
|
int key;
|
|
int color;
|
|
} commSplitInfo;
|
|
static ncclResult_t commGetSplitInfo(struct ncclComm* comm, struct ncclComm* parent, int color, int key, int* nRanksRet, int* myRankRet, int* parentRanksRet) {
|
|
int nRanks = 0, myRank = 0;
|
|
ncclResult_t ret = ncclSuccess;
|
|
|
|
commSplitInfo* info = NULL;
|
|
NCCLCHECKGOTO(ncclCalloc(&info, parent->nRanks), ret, fail);
|
|
|
|
// Compute nRanks, my rank and the ranks (of the original comm) before and after me
|
|
info[parent->rank].color = color;
|
|
info[parent->rank].key = key;
|
|
NCCLCHECKGOTO(bootstrapAllGather(parent->bootstrap, info, sizeof(commSplitInfo)), ret, fail);
|
|
|
|
// Negative color does not create a new comm. Return now.
|
|
if (color == NCCL_SPLIT_NOCOLOR) goto exit;
|
|
|
|
memset(parentRanksRet, 0xff, sizeof(int) * parent->nRanks);
|
|
for (int i = 0; i < parent->nRanks; i++) {
|
|
if (info[i].color != color) continue;
|
|
// Find where to insert this rank
|
|
int insert = 0;
|
|
while (insert < nRanks && info[parentRanksRet[insert]].key <= info[i].key) insert++;
|
|
// Shift ranks by one after insert
|
|
for (int r = nRanks; r > insert; r--) parentRanksRet[r] = parentRanksRet[r - 1];
|
|
// Insert our rank
|
|
parentRanksRet[insert] = i;
|
|
nRanks++;
|
|
}
|
|
|
|
for (int i = 0; i < nRanks; i++) {
|
|
if (parentRanksRet[i] == parent->rank) myRank = i;
|
|
}
|
|
|
|
*nRanksRet = nRanks;
|
|
*myRankRet = myRank;
|
|
|
|
exit:
|
|
free(info);
|
|
return ret;
|
|
fail:
|
|
goto exit;
|
|
}
|
|
|
|
static ncclResult_t getParentRanks(int parentRanks, int parentRank, int* excludeRanksList, int excludeRanksCount, int* nRanksRet, int* myRankRet, int* parentRanksRet) {
|
|
int count = 0, j = 0;
|
|
for (int i = 0; i < parentRanks; i++) {
|
|
// we assume excludeRanksList is sorted
|
|
if (j < excludeRanksCount && excludeRanksList[j] == i) {
|
|
j++;
|
|
continue;
|
|
}
|
|
if (i == parentRank) *myRankRet = count;
|
|
parentRanksRet[count++] = i;
|
|
}
|
|
*nRanksRet = parentRanks - excludeRanksCount;
|
|
return ncclSuccess;
|
|
}
|
|
|
|
static ncclResult_t ncclCommInitRankFunc(struct ncclAsyncJob* job_) {
|
|
struct ncclCommInitRankAsyncJob* job = (struct ncclCommInitRankAsyncJob*)job_;
|
|
ncclComm_t comm = job->comm;
|
|
ncclResult_t res = ncclSuccess;
|
|
int archMajor, archMinor;
|
|
size_t maxLocalSizeBytes = 0;
|
|
int cudaDev = job->cudaDev;
|
|
int* parentRanks = NULL;
|
|
int cudaArch;
|
|
int maxSharedMem = 0;
|
|
double sum_timers = 0;
|
|
uint64_t timers[TIMERS_INIT_COUNT] = {0};
|
|
unsigned long long commIdHash;
|
|
char* archName;
|
|
int cuCount;
|
|
hipDeviceProp_t devProp;
|
|
|
|
#ifdef USE_INDIRECT_FUNCTION_CALL
|
|
int64_t stackSize;
|
|
#endif
|
|
|
|
timers[TIMER_INIT_TOTAL] = clockNano();
|
|
CUDACHECKGOTO(cudaSetDevice(cudaDev), res, fail);
|
|
CUDACHECKGOTO(cudaDeviceGetAttribute(&maxSharedMem, cudaDevAttrMaxSharedMemoryPerBlockOptin, cudaDev), res, fail);
|
|
CUDACHECKGOTO(cudaDeviceGetAttribute(&archMajor, cudaDevAttrComputeCapabilityMajor, cudaDev), res, fail);
|
|
CUDACHECKGOTO(cudaDeviceGetAttribute(&archMinor, cudaDevAttrComputeCapabilityMinor, cudaDev), res, fail);
|
|
cudaArch = 100*archMajor + 10*archMinor;
|
|
|
|
CUDACHECKGOTO(hipGetDeviceProperties(&devProp, cudaDev), res, fail);
|
|
cuCount = devProp.multiProcessorCount;
|
|
archName = (char*)malloc(strlen(devProp.gcnArchName) + 1);
|
|
strcpy(archName, devProp.gcnArchName);
|
|
|
|
timers[TIMER_INIT_KERNELS] = clockNano();
|
|
NCCLCHECK(ncclInitKernelsForDevice(cudaArch, maxSharedMem, &maxLocalSizeBytes));
|
|
// Set the maximum kernel stack size of all kernels to avoid
|
|
// a CUDA memory reconfig on load (c.f. NVSHMEM issue)
|
|
#ifdef USE_INDIRECT_FUNCTION_CALL
|
|
if (ncclParamSetStackSize() == 1 && !IsArchMatch(archName,"gfx942") && !IsArchMatch(archName,"gfx950")) {
|
|
stackSize = rcclParamStackSizeOverride() ? rcclParamStackSizeOverride() : maxLocalSizeBytes;
|
|
if (stackSize == 0) {
|
|
if (IsArchMatch(archName,"gfx906"))
|
|
stackSize = 1024;
|
|
else
|
|
stackSize = 512;
|
|
}
|
|
INFO(NCCL_INIT, "Setting cudaLimitStackSize to %zi maxLocalSizeBytes %zi", stackSize, maxLocalSizeBytes);
|
|
CUDACHECKIGNORE(cudaDeviceSetLimit(cudaLimitStackSize, stackSize));
|
|
}
|
|
#endif
|
|
if (maxLocalSizeBytes > 0 && ncclParamSetStackSize() == 1) {
|
|
TRACE(NCCL_INIT, "Setting cudaLimitStackSize to %zu", maxLocalSizeBytes);
|
|
CUDACHECKIGNORE(cudaDeviceSetLimit(cudaLimitStackSize, maxLocalSizeBytes));
|
|
}
|
|
timers[TIMER_INIT_KERNELS] = clockNano() - timers[TIMER_INIT_KERNELS];
|
|
|
|
if (job->parent) {
|
|
NCCLCHECKGOTO(ncclCalloc(&parentRanks, job->parent->nRanks), res, fail);
|
|
if (job->excludeRanksCount) {
|
|
NCCLCHECKGOTO(getParentRanks(job->parent->nRanks, job->parent->rank, job->excludeRanksList, job->excludeRanksCount, &job->nranks, &job->myrank, parentRanks), res, fail);
|
|
} else {
|
|
NCCLCHECKGOTO(commGetSplitInfo(comm, job->parent, job->color, job->key, &job->nranks, &job->myrank, parentRanks), res, fail);
|
|
// Negative color does not create a new comm object. We needed to take part in the allgather, but we're done now.
|
|
if (job->color == NCCL_SPLIT_NOCOLOR) goto exit;
|
|
}
|
|
timers[TIMER_INIT_ALLOC] = clockNano();
|
|
NCCLCHECKGOTO(commAlloc(comm, job->parent, job->nranks, job->myrank), res, fail);
|
|
timers[TIMER_INIT_ALLOC] = clockNano() - timers[TIMER_INIT_ALLOC];
|
|
// child hash obtained from (parent hash, split count, color)
|
|
uint64_t hacc[2] = {1, 1};
|
|
eatHash(hacc, &job->parent->commHash);
|
|
eatHash(hacc, &job->splitCount);
|
|
eatHash(hacc, &job->color);
|
|
comm->commHash = digestHash(hacc);
|
|
INFO(NCCL_INIT, "%s comm %p rank %d nranks %d cudaDev %d nvmlDev %d busId %lx parent %p splitCount %d color %d key %d- Init START", job->funcName,
|
|
comm, comm->rank, comm->nRanks, comm->cudaDev, comm->nvmlDev, comm->busId, job->parent, job->splitCount, job->color, job->key);
|
|
timers[TIMER_INIT_BOOTSTRAP] = clockNano();
|
|
NCCLCHECKGOTO(bootstrapSplit(comm->commHash, comm, job->parent, job->color, job->key, parentRanks), res, fail);
|
|
timers[TIMER_INIT_BOOTSTRAP] = clockNano() - timers[TIMER_INIT_BOOTSTRAP];
|
|
// debug info, no commId was used
|
|
commIdHash = 0;
|
|
} else {
|
|
timers[TIMER_INIT_ALLOC] = clockNano();
|
|
NCCLCHECKGOTO(commAlloc(comm, NULL, job->nranks, job->myrank), res, fail);
|
|
timers[TIMER_INIT_ALLOC] = clockNano() - timers[TIMER_INIT_ALLOC];
|
|
// obtain a unique hash using the first commId
|
|
comm->commHash = commIdHash = getHash(job->commId->internal, NCCL_UNIQUE_ID_BYTES);
|
|
INFO(NCCL_INIT, "%s comm %p rank %d nranks %d cudaDev %d nvmlDev %d busId %lx commId 0x%llx - Init START", job->funcName,
|
|
comm, comm->rank, comm->nRanks, comm->cudaDev, comm->nvmlDev, comm->busId, commIdHash);
|
|
timers[TIMER_INIT_BOOTSTRAP] = clockNano();
|
|
NCCLCHECKGOTO(bootstrapInit(job->nId, (struct ncclBootstrapHandle*)job->commId, comm), res, fail);
|
|
timers[TIMER_INIT_BOOTSTRAP] = clockNano() - timers[TIMER_INIT_BOOTSTRAP];
|
|
}
|
|
comm->cudaArch = cudaArch;
|
|
comm->archName = archName;
|
|
comm->cuCount = cuCount;
|
|
|
|
NCCLCHECKGOTO(initTransportsRank(comm, job->parent, timers), res, fail);
|
|
|
|
// Check if using host uncached mem correctly
|
|
NCCLCHECK(checkHostUncacheMemSetting(comm));
|
|
|
|
// RCCL: determine and set unroll factor for comm
|
|
NCCLCHECK(commSetUnrollFactor(comm));
|
|
|
|
#ifdef ENABLE_MSCCLPP
|
|
if (job->parent) {
|
|
if (job->parent->mscclppCompatible) {
|
|
INFO(NCCL_INIT, "MSCCL++: Splitting a compatible communicator; using parent mscclpp_comm");
|
|
comm->mscclppCompatible = true;
|
|
comm->mscclpp_threshold = job->parent->mscclpp_threshold;
|
|
comm->mscclpp_comm = job->parent->mscclpp_comm;
|
|
const ncclUniqueId& parentUniqueId = ncclCommToUniqueIdMap[job->parent];
|
|
auto& mscclppUniqueId = mscclpp_uniqueIdMap[parentUniqueId];
|
|
mscclpp_uniqueIdReverseMap[mscclppUniqueId].insert(parentUniqueId);
|
|
ncclCommToUniqueIdMap[comm] = parentUniqueId;
|
|
}
|
|
}
|
|
else
|
|
#endif
|
|
if (rcclParamMscclppEnabled()) {
|
|
#ifdef ENABLE_MSCCLPP
|
|
if (mscclEnabled() && (comm->topo->mscclEnabled || mscclForceEnabled()) && mscclppCommCompatible(comm)) {
|
|
comm->mscclppCompatible = IsArchMatch(archName, "gfx942") || IsArchMatch(archName, "gfx950");
|
|
if (comm->mscclppCompatible) {
|
|
bool mapContainsId = (mscclpp_uniqueIdMap.count(*job->commId) > 0);
|
|
auto& mscclppUniqueId = mscclpp_uniqueIdMap[*job->commId];
|
|
if (comm->localRank == 0 && !mapContainsId) {
|
|
NCCLCHECKGOTO(mscclpp_ncclGetUniqueId(&mscclppUniqueId), res, fail);
|
|
TRACE_CALL("mscclpp_ncclGetUniqueId(0x%llx)", (unsigned long long)getHash(mscclppUniqueId.internal, NCCL_UNIQUE_ID_BYTES));
|
|
}
|
|
|
|
NCCLCHECKGOTO(bootstrapIntraNodeBroadcast(comm->bootstrap, comm->localRankToRank, comm->localRank, comm->localRanks, 0, &mscclppUniqueId, sizeof(mscclppUniqueId)), res, fail);
|
|
unsigned long long mscclppUniqueIdHash; (void)mscclppUniqueIdHash;
|
|
TRACE_CALL("bootstrapIntraNodeBroadcast(rank=%d, nranks=%d, root=%d, bcastData=hash:0x%llx)", comm->localRank, comm->localRanks, 0, (mscclppUniqueIdHash = (unsigned long long)getHash(mscclppUniqueId.internal, NCCL_UNIQUE_ID_BYTES)));
|
|
mscclpp_uniqueIdReverseMap[mscclppUniqueId].insert(*job->commId);
|
|
|
|
comm->mscclpp_threshold = rcclParamMscclppThreshold();
|
|
INFO(NCCL_INIT, "MSCCL++: Enabled! Msg size threshold=%zu", comm->mscclpp_threshold);
|
|
|
|
NCCLCHECKGOTO(mscclpp_ncclCommInitRank(&(comm->mscclpp_comm), job->nranks, mscclppUniqueId, job->myrank), res, fail);
|
|
TRACE_CALL("mscclpp_ncclCommInitRank (*comm=%p, nranks=%d, commId=hash:0x%llx, myrank=%d)", comm->mscclpp_comm, job->nranks, mscclppUniqueIdHash, job->myrank);
|
|
mscclpp_commToUniqueIdMap[comm->mscclpp_comm] = mscclppUniqueId;
|
|
ncclCommToUniqueIdMap[comm] = *job->commId;
|
|
if (rcclParamMscclppForceEnabled()) {
|
|
comm->mscclppForceEnable = true;
|
|
} else {
|
|
comm->mscclppForceEnable = false;
|
|
}
|
|
} else {
|
|
WARN("MSCCL++: Cannot enable MSCCL++ on %s architecture", devProp.gcnArchName);
|
|
}
|
|
} else {
|
|
comm->mscclppCompatible = false;
|
|
WARN("MSCCL++: Cannot enable MSCCL++; environment is not MSCCL compatible");
|
|
}
|
|
#else
|
|
WARN("MSCCL++: Feature not enabled. ENABLE_MSCCLPP must be defined at compile-time to enable this feature.");
|
|
#endif
|
|
}
|
|
|
|
NCCLCHECKGOTO(ncclTunerPluginLoad(comm), res, fail);
|
|
if (comm->tuner) {
|
|
NCCLCHECK(comm->tuner->init(comm->nRanks, comm->nNodes, ncclDebugLog, &comm->tunerContext));
|
|
}
|
|
|
|
NCCLCHECKGOTO(latency_profiler::collTraceInit(comm), res, fail);
|
|
// update communicator state
|
|
comm->initState = ncclSuccess;
|
|
timers[TIMER_INIT_TOTAL] = clockNano() - timers[TIMER_INIT_TOTAL];
|
|
|
|
// Trace this call for replay tool
|
|
if (job->parent) {
|
|
/* unlink child abort flag. */
|
|
__atomic_store_n(&job->parent->childAbortFlag, NULL, __ATOMIC_RELEASE);
|
|
TRACE_CALL("ncclCommSplit(%p, %d, %d, %p, %d, %d)", job->parent, job->color, job->key, comm, comm->rank, comm->nRanks);
|
|
INFO(NCCL_INIT, "%s comm %p rank %d nranks %d cudaDev %d nvmlDev %d busId %lx parent %p splitCount %d color %d key %d - Init COMPLETE", job->funcName,
|
|
comm, comm->rank, comm->nRanks, comm->cudaDev, comm->nvmlDev, comm->busId, job->parent, job->splitCount, job->color, job->key);
|
|
} else {
|
|
// the name for the replay tool is ncclCommInitRank for all the variations
|
|
TRACE_CALL("ncclCommInitRank(%p, %d, 0x%llx, %d, %d)", comm, comm->nRanks, commIdHash, comm->rank, comm->cudaDev);
|
|
INFO(NCCL_INIT, "%s comm %p rank %d nranks %d cudaDev %d nvmlDev %d busId %lx commId 0x%llx - Init COMPLETE", job->funcName,
|
|
comm, comm->rank, comm->nRanks, comm->cudaDev, comm->nvmlDev, comm->busId, commIdHash);
|
|
}
|
|
sum_timers = 0.0;
|
|
for (int it = 1; it < TIMERS_INIT_COUNT; ++it)
|
|
sum_timers += (timers[it] / 1e9);
|
|
INFO(NCCL_INIT | NCCL_PROFILE,
|
|
"Init timings - %s: rank %d nranks %d total %.2f (kernels %.2f, alloc %.2f, bootstrap %.2f, allgathers %.2f, topo %.2f, graphs %.2f, "
|
|
"connections %.2f, rest %.2f)",
|
|
job->funcName, comm->rank, comm->nRanks,
|
|
timers[TIMER_INIT_TOTAL] / 1e9, timers[TIMER_INIT_KERNELS] / 1e9, timers[TIMER_INIT_ALLOC] / 1e9,
|
|
timers[TIMER_INIT_BOOTSTRAP] / 1e9, timers[TIMER_INIT_ALLGATHER] / 1e9, timers[TIMER_INIT_TOPO] / 1e9,
|
|
timers[TIMER_INIT_GRAPHS] / 1e9, timers[TIMER_INIT_CONNECT] / 1e9, timers[TIMER_INIT_TOTAL] / 1e9 - sum_timers);
|
|
exit:
|
|
if (job->newcomm) {
|
|
/* assign it to user pointer. */
|
|
__atomic_store_n(job->newcomm, comm, __ATOMIC_RELEASE);
|
|
}
|
|
free(parentRanks);
|
|
return res;
|
|
fail:
|
|
comm->initState = res;
|
|
goto exit;
|
|
}
|
|
|
|
#define NCCL_CONFIG_DEFAULT(config, field, undef, defvalue, fieldStr, format) \
|
|
if (config->field == undef) { \
|
|
config->field = defvalue; \
|
|
} else { \
|
|
INFO(NCCL_ENV, "Comm config " fieldStr " set to " format, config->field); \
|
|
}
|
|
|
|
static ncclResult_t envConfigOverride(ncclComm_t comm) {
|
|
ncclResult_t ret = ncclSuccess;
|
|
const char* tmpNetName = comm->config.netName;
|
|
const char* envNetName;
|
|
int blockingEnv;
|
|
int cgaClusterSizeEnv;
|
|
int minCTAsEnv;
|
|
int maxCTAsEnv;
|
|
int splitShareEnv;
|
|
const char* collnetEnableEnv;
|
|
int ctaPolicyEnv;
|
|
int shrinkShareEnv;
|
|
int nvlsCTAsEnv;
|
|
|
|
/* override configuration from env variable. */
|
|
blockingEnv = ncclParamCommBlocking();
|
|
if (blockingEnv == 0 || blockingEnv == 1)
|
|
comm->config.blocking = blockingEnv;
|
|
|
|
cgaClusterSizeEnv = ncclParamCGAClusterSize();
|
|
if (0 <= cgaClusterSizeEnv && cgaClusterSizeEnv <= NCCL_MAX_CGA_CLUSTER_SIZE) {
|
|
comm->config.cgaClusterSize = cgaClusterSizeEnv;
|
|
} else if (cgaClusterSizeEnv > NCCL_MAX_CGA_CLUSTER_SIZE) {
|
|
INFO(NCCL_ENV, "NCCL_CGA_CLUSTER_SIZE value %d is too big. Limiting value to %d.", cgaClusterSizeEnv, NCCL_MAX_CGA_CLUSTER_SIZE);
|
|
comm->config.cgaClusterSize = NCCL_MAX_CGA_CLUSTER_SIZE;
|
|
}
|
|
|
|
minCTAsEnv = ncclParamMinCTAs();
|
|
if (minCTAsEnv != NCCL_CONFIG_UNDEF_INT) {
|
|
if (minCTAsEnv <= 0)
|
|
INFO(NCCL_ENV, "NCCL_MIN_CTAS %d is too low, leaving it set at %d", minCTAsEnv, comm->config.minCTAs);
|
|
else
|
|
comm->config.minCTAs = minCTAsEnv;
|
|
}
|
|
|
|
maxCTAsEnv = ncclParamMaxCTAs();
|
|
if (maxCTAsEnv != NCCL_CONFIG_UNDEF_INT) {
|
|
if (maxCTAsEnv <= 0)
|
|
INFO(NCCL_ENV, "NCCL_MAX_CTAS %d is too low, leaving it set at %d", maxCTAsEnv, comm->config.maxCTAs);
|
|
else
|
|
comm->config.maxCTAs = maxCTAsEnv;
|
|
}
|
|
|
|
envNetName = ncclGetEnv("NCCL_NET");
|
|
if (envNetName)
|
|
tmpNetName = envNetName;
|
|
if (tmpNetName != NULL) {
|
|
int netNameLen = strlen(tmpNetName) + 1;
|
|
comm->config.netName = (char*)malloc(netNameLen);
|
|
memcpy((void*)comm->config.netName, tmpNetName, netNameLen);
|
|
} else {
|
|
comm->config.netName = NULL;
|
|
}
|
|
|
|
splitShareEnv = ncclParamCommSplitShareResources();
|
|
if (splitShareEnv != NCCL_CONFIG_UNDEF_INT) {
|
|
comm->config.splitShare = splitShareEnv;
|
|
}
|
|
shrinkShareEnv = ncclParamCommShrinkShareResources();
|
|
if (shrinkShareEnv != NCCL_CONFIG_UNDEF_INT) {
|
|
comm->config.shrinkShare = shrinkShareEnv;
|
|
}
|
|
|
|
// NCCL_COLLNET_ENABLE needs to be reloaded each time for comm init
|
|
// since users might change the env on the fly to enable/disable collnet
|
|
collnetEnableEnv = ncclGetEnv("NCCL_COLLNET_ENABLE");
|
|
if (collnetEnableEnv != NULL) {
|
|
int collnetEnableInt = (int)strtol(collnetEnableEnv, NULL, 0);
|
|
if (collnetEnableInt != NCCL_CONFIG_UNDEF_INT) {
|
|
comm->config.collnetEnable = collnetEnableInt;
|
|
INFO(NCCL_ENV, "NCCL_COLLNET_ENABLE set by environment to %d.", collnetEnableInt);
|
|
}
|
|
}
|
|
|
|
ctaPolicyEnv = ncclParamCtaPolicy();
|
|
if (ctaPolicyEnv != NCCL_CONFIG_UNDEF_INT) {
|
|
comm->config.CTAPolicy = ctaPolicyEnv;
|
|
}
|
|
|
|
nvlsCTAsEnv = ncclParamNvlsChannels();
|
|
if (nvlsCTAsEnv != NCCL_CONFIG_UNDEF_INT) {
|
|
comm->config.nvlsCTAs = nvlsCTAsEnv;
|
|
}
|
|
|
|
/* cap channels if needed */
|
|
if (comm->config.minCTAs > MAXCHANNELS) {
|
|
INFO(NCCL_ENV, "minCTAs %d is larger than #channels upper limit %d, cap it to %d", comm->config.minCTAs, MAXCHANNELS, MAXCHANNELS);
|
|
comm->config.minCTAs = MAXCHANNELS;
|
|
}
|
|
|
|
if (comm->config.maxCTAs > MAXCHANNELS) {
|
|
INFO(NCCL_ENV, "maxCTAs %d is larger than #channels upper limit %d, cap it to %d", comm->config.maxCTAs, MAXCHANNELS, MAXCHANNELS);
|
|
comm->config.maxCTAs = MAXCHANNELS;
|
|
}
|
|
|
|
if (comm->config.minCTAs > comm->config.maxCTAs) {
|
|
INFO(NCCL_ENV, "minCTAs %d is larger than maxCTAs %d, set both to %d", comm->config.minCTAs, comm->config.maxCTAs, comm->config.maxCTAs);
|
|
comm->config.minCTAs = comm->config.maxCTAs;
|
|
}
|
|
|
|
if (comm->config.splitShare != 1 && comm->config.splitShare != 0) {
|
|
INFO(NCCL_ENV, "splitShare %d is not a valid value 0/1, set it to 0", comm->config.splitShare);
|
|
comm->config.splitShare = 0;
|
|
}
|
|
|
|
if (comm->config.collnetEnable != 1 && comm->config.collnetEnable != 0) {
|
|
INFO(NCCL_ENV, "collnetEnable %d is not a valid value 0/1, set it to 0", comm->config.collnetEnable);
|
|
comm->config.collnetEnable = 0;
|
|
}
|
|
|
|
if (comm->config.CTAPolicy < NCCL_CTA_POLICY_DEFAULT || comm->config.CTAPolicy > NCCL_CTA_POLICY_EFFICIENCY) {
|
|
INFO(NCCL_ENV, "CTAPolicy %d is not a valid value, set it to %d", comm->config.CTAPolicy, NCCL_CTA_POLICY_DEFAULT);
|
|
comm->config.CTAPolicy = NCCL_CTA_POLICY_DEFAULT;
|
|
}
|
|
|
|
if (comm->config.nvlsCTAs != NCCL_CONFIG_UNDEF_INT && comm->config.nvlsCTAs <= 0) {
|
|
INFO(NCCL_ENV, "nvlsCTAs %d is not a valid value, NCCL will decide the default value automatically", comm->config.nvlsCTAs);
|
|
comm->config.nvlsCTAs = NCCL_CONFIG_UNDEF_INT;
|
|
}
|
|
return ret;
|
|
}
|
|
|
|
static ncclResult_t copyCommConfig(ncclComm_t childComm, ncclComm_t parnet) {
|
|
memcpy(&childComm->config, &parnet->config, sizeof(ncclConfig_t));
|
|
NCCLCHECK(envConfigOverride(childComm));
|
|
return ncclSuccess;
|
|
}
|
|
|
|
static ncclResult_t parseCommConfig(ncclComm_t comm, ncclConfig_t *config) {
|
|
ncclResult_t ret = ncclSuccess;
|
|
/* config must not be NULL in this function */
|
|
ncclConfig_t defaultConfig = NCCL_CONFIG_INITIALIZER;
|
|
ncclConfig_t internalConfig = NCCL_CONFIG_INITIALIZER;
|
|
ncclConfig_t *internalConfigPtr;
|
|
size_t realSize;
|
|
|
|
internalConfig.magic = 0;
|
|
internalConfigPtr = &internalConfig;
|
|
if (config) {
|
|
memcpy((void*)&realSize, (void*)config, sizeof(size_t));
|
|
realSize = realSize > sizeof(ncclConfig_t) ? sizeof(ncclConfig_t) : realSize;
|
|
memcpy((void*)internalConfigPtr, (void*)config, realSize);
|
|
if (internalConfigPtr->magic != 0xcafebeef) {
|
|
WARN("ncclConfig_t argument not initialized via NCCL_CONFIG_INITIALIZER");
|
|
ret = ncclInvalidArgument;
|
|
goto fail;
|
|
}
|
|
|
|
/* check version. */
|
|
if (internalConfigPtr->version < NCCL_VERSION(2, 14, 0)) {
|
|
internalConfigPtr->blocking = defaultConfig.blocking;
|
|
}
|
|
|
|
if (internalConfigPtr->version < NCCL_VERSION(2, 17, 0)) {
|
|
internalConfigPtr->cgaClusterSize = defaultConfig.cgaClusterSize;
|
|
internalConfigPtr->minCTAs = defaultConfig.minCTAs;
|
|
internalConfigPtr->maxCTAs = defaultConfig.maxCTAs;
|
|
internalConfigPtr->netName = defaultConfig.netName;
|
|
}
|
|
|
|
if (internalConfigPtr->version < NCCL_VERSION(2, 25, 0)) {
|
|
internalConfigPtr->trafficClass = defaultConfig.trafficClass;
|
|
}
|
|
|
|
if (internalConfigPtr->version < NCCL_VERSION(2, 27, 0)) {
|
|
internalConfigPtr->collnetEnable = defaultConfig.collnetEnable;
|
|
internalConfigPtr->CTAPolicy = defaultConfig.CTAPolicy;
|
|
internalConfigPtr->shrinkShare = defaultConfig.shrinkShare;
|
|
internalConfigPtr->nvlsCTAs = defaultConfig.nvlsCTAs;
|
|
}
|
|
}
|
|
|
|
/* check input config attributes, -1 means user-undefined and we should use default value from NCCL. */
|
|
if (internalConfigPtr->blocking != NCCL_CONFIG_UNDEF_INT && internalConfigPtr->blocking != 0 && internalConfigPtr->blocking != 1) {
|
|
WARN("Invalid config blocking attribute value %d", internalConfigPtr->blocking);
|
|
ret = ncclInvalidArgument;
|
|
goto fail;
|
|
}
|
|
|
|
if (internalConfigPtr->cgaClusterSize != NCCL_CONFIG_UNDEF_INT && internalConfigPtr->cgaClusterSize < 0) {
|
|
WARN("Invalid config cgaClusterSize attribute value %d", internalConfigPtr->cgaClusterSize);
|
|
ret = ncclInvalidArgument;
|
|
goto fail;
|
|
}
|
|
|
|
if ((internalConfigPtr->minCTAs != NCCL_CONFIG_UNDEF_INT &&
|
|
internalConfigPtr->minCTAs <= 0) ||
|
|
(internalConfigPtr->maxCTAs != NCCL_CONFIG_UNDEF_INT &&
|
|
internalConfigPtr->maxCTAs <= 0) ||
|
|
(internalConfigPtr->minCTAs > internalConfigPtr->maxCTAs)) {
|
|
WARN("Invalid config min/max channels attribute value %d/%d", internalConfigPtr->minCTAs, internalConfigPtr->maxCTAs);
|
|
ret = ncclInvalidArgument;
|
|
goto fail;
|
|
}
|
|
|
|
if (internalConfigPtr->splitShare != NCCL_CONFIG_UNDEF_INT && internalConfigPtr->splitShare != 0 && internalConfigPtr->splitShare != 1) {
|
|
WARN("Invalid config splitShare attribute value %d", internalConfigPtr->splitShare);
|
|
ret = ncclInvalidArgument;
|
|
goto fail;
|
|
}
|
|
|
|
if (internalConfigPtr->collnetEnable != NCCL_CONFIG_UNDEF_INT && (internalConfigPtr->collnetEnable < 0 || internalConfigPtr->collnetEnable > 1)) {
|
|
WARN("Invalid config collnetEnable attribute value %d", internalConfigPtr->collnetEnable);
|
|
ret = ncclInvalidArgument;
|
|
goto fail;
|
|
}
|
|
|
|
if (internalConfigPtr->CTAPolicy != NCCL_CONFIG_UNDEF_INT && (internalConfigPtr->CTAPolicy < NCCL_CTA_POLICY_DEFAULT ||
|
|
internalConfigPtr->CTAPolicy > NCCL_CTA_POLICY_EFFICIENCY)) {
|
|
WARN("Invalid config policy attribute value %d", internalConfigPtr->CTAPolicy);
|
|
ret = ncclInvalidArgument;
|
|
goto fail;
|
|
}
|
|
|
|
if (internalConfigPtr->shrinkShare != NCCL_CONFIG_UNDEF_INT && internalConfigPtr->shrinkShare != 0 && internalConfigPtr->shrinkShare != 1) {
|
|
WARN("Invalid config shrinkShare attribute value %d", internalConfigPtr->shrinkShare);
|
|
ret = ncclInvalidArgument;
|
|
goto fail;
|
|
}
|
|
|
|
if (internalConfigPtr->nvlsCTAs != NCCL_CONFIG_UNDEF_INT && internalConfigPtr->nvlsCTAs <= 0) {
|
|
WARN("Invalid config nvlsCTAs attribute value %d", internalConfigPtr->nvlsCTAs);
|
|
ret = ncclInvalidArgument;
|
|
goto fail;
|
|
}
|
|
|
|
/* default config value can be tuned on different platform. */
|
|
NCCL_CONFIG_DEFAULT(internalConfigPtr, blocking, NCCL_CONFIG_UNDEF_INT, 1, "Blocking", "%d");
|
|
NCCL_CONFIG_DEFAULT(internalConfigPtr, cgaClusterSize, NCCL_CONFIG_UNDEF_INT, 4, "CGA cluster size", "%d");
|
|
NCCL_CONFIG_DEFAULT(internalConfigPtr, minCTAs, NCCL_CONFIG_UNDEF_INT, 1, "Min CTAs", "%d");
|
|
NCCL_CONFIG_DEFAULT(internalConfigPtr, maxCTAs, NCCL_CONFIG_UNDEF_INT, MAXCHANNELS, "Max CTAs", "%d");
|
|
NCCL_CONFIG_DEFAULT(internalConfigPtr, netName, NCCL_CONFIG_UNDEF_PTR, NULL, "Net name", "%s");
|
|
NCCL_CONFIG_DEFAULT(internalConfigPtr, splitShare, NCCL_CONFIG_UNDEF_INT, 0, "Split share", "%d");
|
|
NCCL_CONFIG_DEFAULT(internalConfigPtr, trafficClass, NCCL_CONFIG_UNDEF_INT, NCCL_CONFIG_UNDEF_INT, "Traffic class", "%d");
|
|
NCCL_CONFIG_DEFAULT(internalConfigPtr, commName, NCCL_CONFIG_UNDEF_PTR, NULL, "Comm name", "%s");
|
|
NCCL_CONFIG_DEFAULT(internalConfigPtr, collnetEnable, NCCL_CONFIG_UNDEF_INT, 0, "Collnet enable", "%d");
|
|
NCCL_CONFIG_DEFAULT(internalConfigPtr, CTAPolicy, NCCL_CONFIG_UNDEF_INT, NCCL_CTA_POLICY_DEFAULT, "CTA policy flags", "%d");
|
|
NCCL_CONFIG_DEFAULT(internalConfigPtr, shrinkShare, NCCL_CONFIG_UNDEF_INT, 0, "shrinkShare", "%d");
|
|
NCCL_CONFIG_DEFAULT(internalConfigPtr, nvlsCTAs, NCCL_CONFIG_UNDEF_INT, NCCL_CONFIG_UNDEF_INT, "nvlsCTAs", "%d");
|
|
|
|
/* assign config to communicator */
|
|
comm->config.blocking = internalConfigPtr->blocking;
|
|
comm->config.cgaClusterSize = internalConfigPtr->cgaClusterSize;
|
|
comm->config.minCTAs = internalConfigPtr->minCTAs;
|
|
comm->config.maxCTAs = internalConfigPtr->maxCTAs;
|
|
comm->config.netName = internalConfigPtr->netName;
|
|
comm->config.splitShare = internalConfigPtr->splitShare;
|
|
comm->config.trafficClass = internalConfigPtr->trafficClass;
|
|
comm->config.commName = internalConfigPtr->commName;
|
|
comm->config.collnetEnable = internalConfigPtr->collnetEnable;
|
|
comm->config.CTAPolicy = internalConfigPtr->CTAPolicy;
|
|
comm->config.shrinkShare = internalConfigPtr->shrinkShare;
|
|
comm->config.nvlsCTAs = internalConfigPtr->nvlsCTAs;
|
|
NCCLCHECKGOTO(envConfigOverride(comm), ret, fail);
|
|
|
|
exit:
|
|
return ret;
|
|
fail:
|
|
goto exit;
|
|
}
|
|
|
|
static void ncclCommInitJobFree(void* _job) {
|
|
struct ncclCommInitRankAsyncJob* job = (struct ncclCommInitRankAsyncJob*)_job;
|
|
free(job->commId);
|
|
free(_job);
|
|
}
|
|
|
|
static ncclResult_t ncclCommInitRankDev(ncclComm_t* newcomm, int nranks, int nId, ncclUniqueId* commId, int myrank, int cudaDev, ncclConfig_t *config, const char funcName[]) {
|
|
if (nId <= 0 || nId > nranks) {
|
|
WARN("improper usage of ncclCommInitRank: nId = %d, nranks=%d", nId, nranks);
|
|
return ncclInvalidArgument;
|
|
}
|
|
ncclResult_t res = ncclSuccess;
|
|
const char* commIdEnv = NULL;
|
|
ncclComm_t comm = NULL;
|
|
struct ncclCommInitRankAsyncJob* job = NULL;
|
|
bool launchedJob = false;
|
|
// first call ncclInit, this will setup the environment
|
|
NCCLCHECKGOTO(ncclInit(), res, fail);
|
|
|
|
if (ncclDebugLevel > NCCL_LOG_WARN || (ncclDebugLevel >= NCCL_LOG_VERSION && myrank == 0)) {
|
|
static pthread_once_t once = PTHREAD_ONCE_INIT;
|
|
pthread_once(&once, showVersion);
|
|
}
|
|
// Make sure the CUDA runtime is initialized.
|
|
CUDACHECKGOTO(cudaFree(NULL), res, fail);
|
|
|
|
NCCLCHECKGOTO(PtrCheck(newcomm, "CommInitRank", "newcomm"), res, fail);
|
|
NCCLCHECKGOTO(PtrCheck(config, "CommInitRank", "config"), res, fail);
|
|
if (nranks < 1 || myrank < 0 || myrank >= nranks) {
|
|
WARN("Invalid rank requested : %d/%d", myrank, nranks);
|
|
res = ncclInvalidArgument;
|
|
goto fail;
|
|
}
|
|
|
|
NCCLCHECKGOTO(ncclCalloc(&comm, 1), res, fail);
|
|
NCCLCHECKGOTO(ncclCalloc(&comm->abortFlag, 1), res, fail);
|
|
NCCLCHECKGOTO(ncclCudaHostCalloc(&comm->abortFlagDev, 1), res, fail);
|
|
NCCLCHECKGOTO(ncclCalloc(&comm->abortFlagRefCount, 1), res, fail);
|
|
comm->startMagic = comm->endMagic = NCCL_MAGIC; // Used to detect comm corruption.
|
|
*comm->abortFlagRefCount = 1;
|
|
NCCLCHECKGOTO(parseCommConfig(comm, config), res, fail);
|
|
/* start with ncclInProgress and will be changed to ncclSuccess if init succeeds. */
|
|
comm->initState = ncclInProgress;
|
|
*newcomm = comm;
|
|
|
|
NCCLCHECKGOTO(ncclCalloc(&job, 1), res, fail);
|
|
job->nId = nId;
|
|
job->comm = comm;
|
|
job->nranks = nranks;
|
|
job->myrank = myrank;
|
|
job->cudaDev = cudaDev;
|
|
snprintf(job->funcName, NCCL_COMMINIT_FUNCNAME_LEN, "%s", funcName);
|
|
// need to copy the commIds to allow async commInit and to avoid alignement issues when casting from ncclUNiqueId and ncclBootstrapHandle
|
|
// ncclUniqueIds and ncclBootstrapHandle don't have the same alignment requirements.
|
|
// Therefore the array of Ids coming from the user might not be properly aligned to be cast into a ncclBootstrapHandle
|
|
// copying into allocated memory guarantees that the memory is properly aligned for any objects, removing that issue
|
|
NCCLCHECKGOTO(ncclCalloc(&job->commId, nId), res, fail);
|
|
memcpy(job->commId, commId, nId * NCCL_UNIQUE_ID_BYTES);
|
|
|
|
commIdEnv = ncclGetEnv("NCCL_COMM_ID");
|
|
if (commIdEnv && myrank == 0) {
|
|
INFO(NCCL_ENV, "NCCL_COMM_ID set by environment to %s", commIdEnv);
|
|
if (nId > 1) {
|
|
INFO(NCCL_INIT | NCCL_ENV, "NCCL_COMM_ID cannot be used with more than one ncclUniqueId");
|
|
job->nId = 1;
|
|
}
|
|
// start the bootstrap root before bootstrapping, use only the first handle
|
|
NCCLCHECKGOTO(bootstrapCreateRoot((struct ncclBootstrapHandle*)&job->commId[0], true), res, fail);
|
|
}
|
|
launchedJob = true;
|
|
NCCLCHECKGOTO(ncclAsyncLaunch((struct ncclAsyncJob*)job, ncclCommInitRankFunc, NULL, ncclCommInitJobFree, comm), res, fail);
|
|
|
|
exit:
|
|
// for loggin only, not ready for replaying
|
|
// !recording at sink
|
|
NCCLCHECK(Recorder::instance().record(rrCommInitDev, nranks, myrank, commId, comm, cudaDev));
|
|
return ncclGroupErrCheck(res);
|
|
fail:
|
|
if (job && !launchedJob) ncclCommInitJobFree(job);
|
|
if (comm) {
|
|
free(comm->abortFlag);
|
|
if (comm->abortFlagDev) (void)ncclCudaHostFree((void*)comm->abortFlagDev);
|
|
free(comm->abortFlagRefCount);
|
|
free(comm);
|
|
}
|
|
if (newcomm) *newcomm = NULL;
|
|
goto exit;
|
|
}
|
|
|
|
NCCL_API(ncclResult_t, ncclCommInitRank, ncclComm_t* newcomm, int nranks, ncclUniqueId commId, int myrank);
|
|
ncclResult_t ncclCommInitRank_impl(ncclComm_t* newcomm, int nranks, ncclUniqueId commId, int myrank) {
|
|
NCCLCHECK(Recorder::instance().record(rrCommInitRank, nranks, myrank, &commId));
|
|
NVTX3_RANGE(NcclNvtxParamsCommInitRank)
|
|
// Load the CUDA driver and dlsym hooks (can fail on old drivers)
|
|
rocmLibraryInit();
|
|
|
|
int cudaDev;
|
|
ncclConfig_t config = NCCL_CONFIG_INITIALIZER;
|
|
CUDACHECK(cudaGetDevice(&cudaDev));
|
|
|
|
NCCLCHECK(ncclCommInitRankDev(newcomm, nranks, 1, &commId, myrank, cudaDev, &config, __func__));
|
|
|
|
NVTX3_RANGE_ADD_PAYLOAD(CommInitRank, NcclNvtxParamsCommInitRankSchema,
|
|
NVTX3_PAYLOAD((*newcomm)->commHash, nranks, myrank, cudaDev));
|
|
|
|
return ncclSuccess;
|
|
}
|
|
|
|
NCCL_API(ncclResult_t, ncclCommInitAll, ncclComm_t* comms, int ndev, const int* devlist);
|
|
ncclResult_t ncclCommInitAll_impl(ncclComm_t* comms, int ndev, const int* devlist) {
|
|
Recorder::instance().record(comms, ndev, devlist);
|
|
ncclResult_t ret = ncclSuccess;
|
|
int totalnDev;
|
|
int *gpuFlags = NULL;
|
|
ncclConfig_t config = NCCL_CONFIG_INITIALIZER;
|
|
int oldDev = 0;
|
|
|
|
NVTX3_RANGE(NcclNvtxParamsCommInitAll);
|
|
|
|
// Load the CUDA driver and dlsym hooks (can fail on old drivers)
|
|
rocmLibraryInit();
|
|
|
|
CUDACHECK(cudaGetDevice(&oldDev));
|
|
NCCLCHECKGOTO(PtrCheck(comms, "CommInitAll", "comms"), ret, fail);
|
|
if (ndev < 0) {
|
|
WARN("Invalid device count requested : %d", ndev);
|
|
ret = ncclInvalidArgument;
|
|
goto fail;
|
|
}
|
|
|
|
CUDACHECKGOTO(cudaGetDeviceCount(&totalnDev), ret, fail);
|
|
if (devlist) {
|
|
NCCLCHECKGOTO(ncclCalloc(&gpuFlags, totalnDev), ret, fail);
|
|
for (int i = 0; i < ndev; ++i) {
|
|
/* invalid device check. */
|
|
if (devlist[i] < 0 || devlist[i] >= totalnDev) {
|
|
WARN("Invalid device %d (totalnDev=%d)", devlist[i], totalnDev);
|
|
ret = ncclInvalidArgument;
|
|
goto fail;
|
|
}
|
|
|
|
/* duplicate device check. */
|
|
if (gpuFlags[devlist[i]] != 0) {
|
|
ret = ncclInvalidUsage;
|
|
goto fail;
|
|
}
|
|
|
|
gpuFlags[devlist[i]] = 1;
|
|
}
|
|
free(gpuFlags);
|
|
gpuFlags = nullptr;
|
|
}
|
|
|
|
ncclUniqueId uniqueId;
|
|
NCCLCHECKGOTO(ncclGetUniqueId(&uniqueId), ret, fail);
|
|
NCCLCHECKGOTO(ncclGroupStartInternal(), ret, fail);
|
|
for (int i=0; i<ndev; i++) {
|
|
// Ignore return codes .. we need to call ncclGroupEnd to clean up anyway
|
|
int dev = devlist ? devlist[i] : i;
|
|
CUDACHECKGOTO(cudaSetDevice(dev), ret, fail);
|
|
ncclCommInitRankDev(comms+i, ndev,1, &uniqueId, i, dev, &config, __func__);
|
|
}
|
|
NCCLCHECKGOTO(ncclGroupEndInternal(), ret, fail);
|
|
|
|
NVTX3_RANGE_ADD_PAYLOAD(CommInitAll, NcclNvtxParamsCommInitAllSchema,
|
|
NVTX3_PAYLOAD(comms[0]->commHash, ndev));
|
|
|
|
exit:
|
|
(void)cudaSetDevice(oldDev);
|
|
free(gpuFlags);
|
|
return ret;
|
|
fail:
|
|
goto exit;
|
|
}
|
|
|
|
ncclResult_t ncclCommSetAsyncError(ncclComm_t comm, ncclResult_t nextState) {
|
|
if (nextState < 0 || nextState >= ncclNumResults || comm == NULL) {
|
|
WARN("ncclCommSetAsyncError: error comm %p sets state %d", comm, nextState);
|
|
return ncclInvalidArgument;
|
|
}
|
|
|
|
__atomic_store_n(&comm->asyncResult, nextState, __ATOMIC_RELEASE);
|
|
return ncclSuccess;
|
|
}
|
|
|
|
NCCL_API(ncclResult_t, ncclCommInitRankConfig, ncclComm_t* comm, int nranks, ncclUniqueId commId, int myrank, ncclConfig_t *config);
|
|
ncclResult_t ncclCommInitRankConfig_impl(ncclComm_t *newcomm, int nranks, ncclUniqueId commId, int myrank, ncclConfig_t *config) {
|
|
Recorder::instance().record(rrCommInitRankConfig, nranks, myrank, &commId, config);
|
|
int cudaDev;
|
|
ncclResult_t ret = ncclSuccess;
|
|
ncclConfig_t internalConfig = NCCL_CONFIG_INITIALIZER;
|
|
ncclConfig_t *internalConfigPtr = NULL;
|
|
|
|
NVTX3_RANGE(NcclNvtxParamsCommInitRankConfig);
|
|
|
|
NCCLCHECK(ncclGroupStartInternal());
|
|
|
|
rocmLibraryInit();
|
|
CUDACHECK(cudaGetDevice(&cudaDev));
|
|
|
|
if (config == NULL)
|
|
internalConfigPtr = &internalConfig;
|
|
else
|
|
internalConfigPtr = config;
|
|
NCCLCHECKGOTO(ncclCommInitRankDev(newcomm, nranks, 1, &commId, myrank, cudaDev, internalConfigPtr, __func__), ret, fail);
|
|
|
|
exit:
|
|
ncclGroupErrCheck(ret);
|
|
NCCLCHECK(ncclGroupEndInternal());
|
|
if (newcomm && *newcomm) {
|
|
if (!(*newcomm)->config.blocking) {
|
|
(void) ncclCommGetAsyncError(*newcomm, &ret);
|
|
}
|
|
NVTX3_RANGE_ADD_PAYLOAD(CommInitRankConfig, NcclNvtxParamsCommInitRankSchema,
|
|
NVTX3_PAYLOAD((*newcomm)->commHash, nranks, myrank, cudaDev));
|
|
}
|
|
return ret;
|
|
fail:
|
|
if (newcomm && *newcomm && !(*newcomm)->config.blocking) (void) ncclCommSetAsyncError(*newcomm, ret);
|
|
goto exit;
|
|
}
|
|
|
|
NCCL_API(ncclResult_t, ncclCommInitRankScalable, ncclComm_t* newcomm, int nranks, int myrank, int nId, ncclUniqueId* commId, ncclConfig_t* config);
|
|
ncclResult_t ncclCommInitRankScalable(ncclComm_t* newcomm, int nranks, int myrank, int nId, ncclUniqueId* commId, ncclConfig_t* config) {
|
|
NVTX3_RANGE(NcclNvtxParamsCommInitRankScalable);
|
|
|
|
int cudaDev;
|
|
ncclResult_t ret = ncclSuccess;
|
|
ncclConfig_t internalConfig = NCCL_CONFIG_INITIALIZER;
|
|
ncclConfig_t *internalConfigPtr = NULL;
|
|
NCCLCHECK(ncclGroupStartInternal());
|
|
|
|
rocmLibraryInit();
|
|
CUDACHECK(cudaGetDevice(&cudaDev));
|
|
|
|
if (config == NULL)
|
|
internalConfigPtr = &internalConfig;
|
|
else
|
|
internalConfigPtr = config;
|
|
NCCLCHECKGOTO(ncclCommInitRankDev(newcomm, nranks, nId, commId, myrank, cudaDev, internalConfigPtr, __func__), ret, fail);
|
|
|
|
exit:
|
|
ncclGroupErrCheck(ret);
|
|
NCCLCHECK(ncclGroupEndInternal());
|
|
if (newcomm && *newcomm) {
|
|
if (!(*newcomm)->config.blocking) {
|
|
(void) ncclCommGetAsyncError(*newcomm, &ret);
|
|
}
|
|
NVTX3_RANGE_ADD_PAYLOAD(CommInitRankScalable, NcclNvtxParamsCommInitRankSchema,
|
|
NVTX3_PAYLOAD((*newcomm)->commHash, nranks, myrank, cudaDev));
|
|
}
|
|
return ret;
|
|
fail:
|
|
if (newcomm && *newcomm && !(*newcomm)->config.blocking) (void) ncclCommSetAsyncError(*newcomm, ret);
|
|
goto exit;
|
|
}
|
|
|
|
static ncclResult_t commDestroySync(struct ncclAsyncJob* job_) {
|
|
struct ncclCommFinalizeAsyncJob* job = (struct ncclCommFinalizeAsyncJob*) job_;
|
|
ncclComm_t comm = job->comm;
|
|
ncclResult_t ret = ncclSuccess;
|
|
|
|
CUDACHECKGOTO(cudaSetDevice(comm->cudaDev), ret, fail);
|
|
|
|
NCCLCHECKGOTO(latency_profiler::collTraceDestroy(comm), ret, fail);
|
|
TRACE(NCCL_INIT, "Destroying comm %p rank %d abortFlag %d asyncResult %d", comm, comm->rank, *comm->abortFlag, comm->asyncResult);
|
|
|
|
if (comm->initState == ncclSuccess) {
|
|
if ((ret = ncclStrongStreamSynchronize(&comm->sharedRes->hostStream)) != ncclSuccess) {
|
|
WARN("commDestroySync: comm %p rank %d sync hostStream error %d\n", comm, comm->rank, ret);
|
|
}
|
|
if ((ret = ncclStrongStreamSynchronize(&comm->sharedRes->deviceStream)) != ncclSuccess) {
|
|
WARN("commDestroySync: comm %p rank %d sync deviceStream error %d\n", comm, comm->rank, ret);
|
|
}
|
|
|
|
NCCLCHECKGOTO(ncclCommPollEventCallbacks(comm, true), ret, fail);
|
|
NCCLCHECKGOTO(ncclCommPollCallbacks(comm, false), ret, fail);
|
|
// And keep polling until all graphs referencing us die.
|
|
while (comm->localPersistentRefs != 0) {
|
|
NCCLCHECKGOTO(ncclCommPollCallbacks(comm, /*waitSome=*/true), ret, fail);
|
|
}
|
|
while (!ncclIntruQueueEmpty(&comm->legacyRegCleanupQueue)) {
|
|
struct ncclCommCallback* cb = ncclIntruQueueDequeue(&comm->legacyRegCleanupQueue);
|
|
if (cb->fn(comm, cb) != ncclSuccess) {
|
|
WARN("Legacy IPC cleanup callback failed comm %p (rank = %d) cb %p", comm, comm->rank, cb);
|
|
}
|
|
}
|
|
}
|
|
|
|
if ((ret = ncclProxyStop(comm)) != ncclSuccess) {
|
|
WARN("ncclProxyStop: comm %p (rank = %d) destroys proxy resource error %d", comm, comm->rank, ret);
|
|
}
|
|
|
|
exit:
|
|
return ret;
|
|
fail:
|
|
goto exit;
|
|
}
|
|
|
|
static ncclResult_t commCleanup(ncclComm_t comm) {
|
|
bool mscclEnabledForTopo = comm->topo->mscclEnabled;
|
|
|
|
CUDACHECK(cudaSetDevice(comm->cudaDev));
|
|
if (comm->tuner != NULL) {
|
|
NCCLCHECK(comm->tuner->destroy(comm->tunerContext));
|
|
NCCLCHECK(ncclTunerPluginUnload(comm));
|
|
}
|
|
if (mscclEnabled() && (mscclEnabledForTopo || mscclForceEnabled())) {
|
|
NCCLCHECK(mscclTeardown(comm));
|
|
}
|
|
NCCLCHECK(commFree(comm));
|
|
|
|
#if defined(ENABLE_NPKIT)
|
|
// Dump NPKit events and shutdown
|
|
const char* npkitDumpDir = getenv("NPKIT_DUMP_DIR");
|
|
if (npkitDumpDir == nullptr) {
|
|
npkitDumpDir = "./npkit_dump";
|
|
INFO(NCCL_INIT, "NPKIT_DUMP_DIR is not set, using default directory: %s", npkitDumpDir);
|
|
}
|
|
struct stat st;
|
|
if (stat(npkitDumpDir, &st) != 0) {
|
|
if (mkdir(npkitDumpDir, 0755) != 0) {
|
|
WARN("Failed to create NPKIT_DUMP_DIR directory: %s", npkitDumpDir);
|
|
}
|
|
}
|
|
NCCLCHECK(NpKit::Dump(npkitDumpDir));
|
|
NCCLCHECK(NpKit::Shutdown());
|
|
#endif
|
|
|
|
return ncclSuccess;
|
|
}
|
|
|
|
NCCL_API(ncclResult_t, ncclCommFinalize, ncclComm_t comm);
|
|
ncclResult_t ncclCommFinalize_impl(ncclComm_t comm) {
|
|
NCCLCHECK(Recorder::instance().record(rrCommFinalize, comm));
|
|
NVTX3_RANGE(NcclNvtxParamsCommFinalize);
|
|
|
|
ncclResult_t ret = ncclSuccess;
|
|
struct ncclCommFinalizeAsyncJob *job = NULL;
|
|
|
|
NCCLCHECK(ncclGroupStartInternal());
|
|
if (comm == NULL) goto exit;
|
|
|
|
/* wait comm ready before finalize. */
|
|
NCCLCHECKGOTO(ncclCommEnsureReady(comm), ret, fail);
|
|
|
|
/* prevent double finalize. */
|
|
if (comm->finalizeCalled) {
|
|
ret = ncclInvalidArgument;
|
|
goto fail;
|
|
}
|
|
|
|
comm->finalizeCalled = true;
|
|
/* launch async thread to finalize comm. */
|
|
NCCLCHECKGOTO(ncclCalloc(&job, 1), ret, fail);
|
|
job->comm = comm;
|
|
NCCLCHECKGOTO(ncclAsyncLaunch((struct ncclAsyncJob*)job, commDestroySync, NULL, free, comm), ret, fail);
|
|
|
|
exit:
|
|
ncclGroupErrCheck(ret);
|
|
NCCLCHECK(ncclGroupEndInternal());
|
|
if (comm) {
|
|
if (!comm->config.blocking) {
|
|
NCCLCHECK(ncclCommGetAsyncError(comm, &ret));
|
|
}
|
|
NVTX3_RANGE_ADD_PAYLOAD(CommFinalize, NcclNvtxParamsCommFinalizeSchema,
|
|
NVTX3_PAYLOAD(comm->commHash));
|
|
}
|
|
return ret;
|
|
fail:
|
|
if (comm && !comm->config.blocking) (void) ncclCommSetAsyncError(comm, ret);
|
|
goto exit;
|
|
}
|
|
|
|
static ncclResult_t commReclaim(struct ncclAsyncJob* job_) {
|
|
struct ncclCommFinalizeAsyncJob* job = (struct ncclCommFinalizeAsyncJob*) job_;
|
|
ncclComm_t comm = job->comm;
|
|
ncclResult_t ret = ncclSuccess;
|
|
|
|
if (comm->intraComm0 != NULL) {
|
|
int curRankCnt;
|
|
int curRank; /* Debug info */
|
|
int intraRanks = comm->intraRanks;
|
|
ncclComm_t intracomm0 = comm->intraComm0;
|
|
int *finalizeRankCnt = &intracomm0->finalizeRankCnt;
|
|
|
|
assert(intracomm0 != NULL && finalizeRankCnt != NULL);
|
|
curRankCnt = __atomic_add_fetch(finalizeRankCnt, 1, __ATOMIC_ACQ_REL);
|
|
if (curRankCnt == intraRanks) {
|
|
ncclComm_t curIntraComm;
|
|
ncclComm_t nextIntraComm = intracomm0;
|
|
|
|
/* this is the last call to ncclCommDestroy/Abort, we need to make sure all comms
|
|
* in the process have been finalized before we free local resources. */
|
|
while (nextIntraComm) {
|
|
curIntraComm = nextIntraComm;
|
|
curRank = curIntraComm->rank;
|
|
nextIntraComm = nextIntraComm->intraNext;
|
|
|
|
if (curIntraComm->finalizeCalled == false) {
|
|
struct ncclCommFinalizeAsyncJob job;
|
|
job.comm = curIntraComm;
|
|
/* every comm aborts, commDestroySync should not be blocked. */
|
|
if ((ret = commDestroySync((struct ncclAsyncJob*) &job)) != ncclSuccess)
|
|
WARN("commReclaim: comm %p (rank = %d) in commDestroySync, error %d", curIntraComm, curRank, ret);
|
|
}
|
|
}
|
|
|
|
/* free local resources. */
|
|
nextIntraComm = intracomm0;
|
|
while (nextIntraComm) {
|
|
curIntraComm = nextIntraComm;
|
|
curRank = curIntraComm->rank;
|
|
nextIntraComm = nextIntraComm->intraNext;
|
|
|
|
if ((ret = commCleanup(curIntraComm)) != ncclSuccess) {
|
|
// We pass a freed pointer, but we don't dereference; we merely print its value, so it's OK.
|
|
// coverity[pass_freed_arg]
|
|
WARN("commReclaim: cleanup comm %p rank %d failed in destroy/abort, error %d", curIntraComm, curRank, ret);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
return ncclSuccess;
|
|
}
|
|
|
|
NCCL_API(ncclResult_t, ncclCommDestroy, ncclComm_t comm);
|
|
ncclResult_t ncclCommDestroy_impl(ncclComm_t comm) {
|
|
NCCLCHECK(Recorder::instance().record(rrCommDestroy, comm));
|
|
if (comm == NULL) {
|
|
NVTX3_FUNC_RANGE_IN(nccl_domain);
|
|
return ncclSuccess;
|
|
}
|
|
INFO(NCCL_INIT, "Memory used = %ld", allocTracker[comm->cudaDev].totalAllocSize);
|
|
|
|
#ifdef ENABLE_MSCCLPP
|
|
if (comm->mscclppCompatible) {
|
|
auto& mscclppUniqueId = mscclpp_commToUniqueIdMap[comm->mscclpp_comm];
|
|
auto& uniqueIds = mscclpp_uniqueIdReverseMap[mscclppUniqueId];
|
|
auto& ncclUniqueId = ncclCommToUniqueIdMap[comm];
|
|
if (uniqueIds.find(ncclUniqueId) == uniqueIds.end()) {
|
|
WARN("MSCCL++: comm=%p not found in mscclpp_uniqueIdReverseMap for key=%p", comm, comm->mscclpp_comm);
|
|
}
|
|
uniqueIds.erase(ncclUniqueId);
|
|
if (uniqueIds.size() == 0) {
|
|
mscclpp_uniqueIdReverseMap.erase(mscclppUniqueId);
|
|
ncclResult_t res = mscclpp_ncclCommDestroy(comm->mscclpp_comm);
|
|
TRACE_CALL("mscclpp_ncclCommDestroy");
|
|
if (res != ncclSuccess) {
|
|
WARN("MSCCL++: mscclpp_ncclCommDestroy failed (%s)", ncclGetErrorString(res));
|
|
}
|
|
}
|
|
|
|
comm->mscclppCompatible = false;
|
|
comm->mscclpp_comm = nullptr;
|
|
}
|
|
#endif
|
|
|
|
int rank = comm->rank, nranks = comm->nRanks, cudaDev = comm->cudaDev;
|
|
struct ncclCommFinalizeAsyncJob *job = NULL;
|
|
ncclResult_t res = ncclSuccess;
|
|
|
|
NVTX3_FUNC_WITH_PARAMS(CommDestroy, NcclNvtxParamsCommInitRank,
|
|
NVTX3_PAYLOAD(comm->commHash, nranks, rank, cudaDev));
|
|
|
|
TRACE(NCCL_INIT, "comm %p rank %d nRanks %d cudaDev %d busId %lx", comm, rank, nranks, cudaDev, comm->busId);
|
|
NCCLCHECK(ncclGroupStartInternal());
|
|
// Try and prevent a double free of the comm struct (user error)
|
|
if (comm->rank == -1 || comm->nRanks == -1 || comm->cudaDev == -1 || comm->busId == -1) {
|
|
WARN("comm %p has already been destroyed", comm);
|
|
return ncclInvalidArgument;
|
|
}
|
|
|
|
comm->destroyFlag = 1;
|
|
/* init thread must be joined before we destroy the comm. */
|
|
NCCLCHECK(ncclCommEnsureReady(comm));
|
|
NCCLCHECKGOTO(ncclCalloc(&job, 1), res, fail);
|
|
job->comm = comm;
|
|
NCCLCHECKGOTO(ncclAsyncLaunch((struct ncclAsyncJob*)job, commReclaim, NULL, free, comm), res, fail);
|
|
|
|
exit:
|
|
ncclGroupErrCheck(res);
|
|
NCCLCHECK(ncclGroupEndInternal());
|
|
return res;
|
|
fail:
|
|
goto exit;
|
|
}
|
|
|
|
static ncclResult_t setCommAbortFlags(ncclComm_t comm, int value) {
|
|
// Set abort flags
|
|
if (comm->childAbortFlag != nullptr) {
|
|
__atomic_store_n(comm->childAbortFlag, value, __ATOMIC_RELEASE);
|
|
__atomic_store_n(comm->childAbortFlagDev, value, __ATOMIC_RELEASE);
|
|
}
|
|
__atomic_store_n(comm->abortFlag, value, __ATOMIC_RELEASE);
|
|
__atomic_store_n(comm->abortFlagDev, value, __ATOMIC_RELEASE);
|
|
return ncclSuccess;
|
|
}
|
|
|
|
NCCL_API(ncclResult_t, ncclCommAbort, ncclComm_t comm);
|
|
ncclResult_t ncclCommAbort_impl(ncclComm_t comm) {
|
|
NCCLCHECK(Recorder::instance().record(rrCommAbort, comm));
|
|
NVTX3_RANGE(NcclNvtxParamsCommAbort);
|
|
|
|
if (comm == NULL) {
|
|
return ncclSuccess;
|
|
}
|
|
NCCLCHECK(ncclGroupStartInternal());
|
|
// Ask anything that might still be running on the device to quit
|
|
NCCLCHECK(setCommAbortFlags(comm,1));
|
|
comm->destroyFlag = 1;
|
|
/* init thread must be joined before we destroy the comm,
|
|
* and we should ignore the init error here. */
|
|
(void)ncclCommEnsureReady(comm);
|
|
|
|
// once the comm is ready, we can access ranks etc
|
|
int rank = comm->rank, nranks = comm->nRanks, cudaDev = comm->cudaDev;
|
|
struct ncclCommFinalizeAsyncJob *job = NULL;
|
|
ncclResult_t res = ncclSuccess;
|
|
|
|
NVTX3_RANGE_ADD_PAYLOAD(CommAbort, NcclNvtxParamsCommInitRankSchema,
|
|
NVTX3_PAYLOAD(comm->commHash, nranks, rank, cudaDev));
|
|
|
|
TRACE(NCCL_INIT, "comm %p rank %d nRanks %d cudaDev %d busId %lx", comm, rank, nranks, cudaDev, comm->busId);
|
|
|
|
NCCLCHECKGOTO(ncclCalloc(&job, 1), res, fail);
|
|
job->comm = comm;
|
|
NCCLCHECKGOTO(ncclAsyncLaunch((struct ncclAsyncJob*)job, commReclaim, NULL, free, comm), res, fail);
|
|
|
|
exit:
|
|
ncclGroupErrCheck(res);
|
|
NCCLCHECK(ncclGroupEndInternal());
|
|
return res;
|
|
fail:
|
|
goto exit;
|
|
}
|
|
|
|
static void childCommCleanupJob(void* job) {
|
|
struct ncclCommInitRankAsyncJob* initJob = (struct ncclCommInitRankAsyncJob*)job;
|
|
if (initJob->excludeRanksList) free(initJob->excludeRanksList);
|
|
free(job);
|
|
}
|
|
|
|
// initializing a child communicator (for both split and shrink)
|
|
static ncclResult_t ncclCommInitChildComm(ncclComm_t comm, ncclComm_t* newcomm, bool isShrink, int flags, int color, int key, int* excludeRanksList, int excludeRanksCount,
|
|
ncclConfig_t* config, const char* caller) {
|
|
struct ncclCommInitRankAsyncJob *job = NULL;
|
|
struct ncclComm* childComm = NCCL_COMM_NULL;
|
|
ncclResult_t res = ncclSuccess;
|
|
|
|
int oldDev;
|
|
CUDACHECK(cudaGetDevice(&oldDev));
|
|
NCCLCHECKGOTO(CommCheck(comm, caller, "comm"), res, exit);
|
|
NCCLCHECKGOTO(PtrCheck(newcomm, caller, "newcomm"), res, exit);
|
|
if (isShrink) {
|
|
NCCLCHECKGOTO(PtrCheck(excludeRanksList, caller, "excludeRanksList"), res, exit);
|
|
NCCLCHECKGOTO(excludeRanksCount > 0 ? ncclSuccess : ncclInvalidArgument, res, exit);
|
|
// excludeRanksList may not be sorted, need to sort it
|
|
qsort(excludeRanksList, excludeRanksCount, sizeof(int), compareInts);
|
|
// ranks in excludeRanksList should not call into this function
|
|
NCCLCHECKGOTO(bsearch(&comm->rank, excludeRanksList, excludeRanksCount, sizeof(int), compareInts) ? ncclInvalidArgument : ncclSuccess, res, exit);
|
|
}
|
|
NCCLCHECKGOTO(ncclCommEnsureReady(comm), res, exit);
|
|
CUDACHECKGOTO(cudaSetDevice(comm->cudaDev), res, exit);
|
|
|
|
/* *newcomm should be NCCL_COMM_NULL until comm split fully complete. */
|
|
*newcomm = NCCL_COMM_NULL;
|
|
if (!isShrink && color == NCCL_SPLIT_NOCOLOR) {
|
|
INFO(NCCL_INIT, "Rank %d has color with NCCL_SPLIT_NOCOLOR, not creating a new communicator", comm->rank);
|
|
} else {
|
|
NCCLCHECKGOTO(ncclCalloc(&childComm, 1), res, fail);
|
|
childComm->startMagic = childComm->endMagic = NCCL_MAGIC;
|
|
|
|
// Set the shareResource field, this is used throughout the init and must be reset every time.
|
|
// If we shrink, we only reuse resources if we shrink in the default mode
|
|
comm->shareResources = isShrink ? (!(flags & NCCL_SHRINK_ABORT) && comm->config.shrinkShare) : comm->config.splitShare;
|
|
if (comm->shareResources) {
|
|
childComm->abortFlag = comm->abortFlag;
|
|
childComm->abortFlagDev = comm->abortFlagDev;
|
|
childComm->abortFlagRefCount = comm->abortFlagRefCount;
|
|
comm->childAbortFlag = NULL;
|
|
ncclAtomicRefCountIncrement(comm->abortFlagRefCount);
|
|
} else {
|
|
NCCLCHECKGOTO(ncclCalloc(&childComm->abortFlag, 1), res, fail);
|
|
NCCLCHECKGOTO(ncclCudaHostCalloc(&childComm->abortFlagDev, 1), res, fail);
|
|
NCCLCHECKGOTO(ncclCalloc(&childComm->abortFlagRefCount, 1), res, fail);
|
|
/* temporarily used to abort everything during child comm init. */
|
|
comm->childAbortFlag = childComm->abortFlag;
|
|
comm->childAbortFlagDev = childComm->abortFlagDev;
|
|
*childComm->abortFlagRefCount = 1;
|
|
}
|
|
if (config == NULL) {
|
|
NCCLCHECKGOTO(copyCommConfig(childComm, comm), res, fail);
|
|
} else {
|
|
NCCLCHECKGOTO(parseCommConfig(childComm, config), res, fail);
|
|
}
|
|
|
|
/* start with ncclInternalError and will be changed to ncclSuccess if init succeeds. */
|
|
childComm->initState = ncclInternalError;
|
|
}
|
|
|
|
NCCLCHECKGOTO(ncclCalloc(&job, 1), res, fail);
|
|
job->comm = childComm;
|
|
job->newcomm = newcomm;
|
|
job->parent = comm;
|
|
job->color = color;
|
|
job->key = key;
|
|
if (excludeRanksList) {
|
|
// need to copy the list of ranks to exclude because the job is async
|
|
job->excludeRanksCount = excludeRanksCount;
|
|
NCCLCHECKGOTO(ncclCalloc(&job->excludeRanksList, excludeRanksCount), res, fail);
|
|
memcpy(job->excludeRanksList, excludeRanksList, excludeRanksCount * sizeof(int));
|
|
} else {
|
|
// each split has to lead to a unique comm, so increment the splitCount
|
|
job->splitCount = ++comm->splitCount;
|
|
job->excludeRanksList = NULL;
|
|
}
|
|
job->cudaDev = comm->cudaDev;
|
|
snprintf(job->funcName, NCCL_COMMINIT_FUNCNAME_LEN, "%s", caller);
|
|
NCCLCHECKGOTO(ncclAsyncLaunch((struct ncclAsyncJob*)job, ncclCommInitRankFunc, /*undo=*/NULL, /*destructor=*/childCommCleanupJob, comm), res, fail);
|
|
|
|
exit:
|
|
// for loggin only, not ready for replaying
|
|
// TODO: further integrate overloaded record header
|
|
// !recording at sink
|
|
Recorder::instance().record(rrCommSplit, color, key, (ncclUniqueId*)comm, config, *newcomm);
|
|
(void)cudaSetDevice(oldDev);
|
|
return res;
|
|
fail:
|
|
if (childComm) {
|
|
if (!comm->shareResources) {
|
|
if (childComm->abortFlag) free(childComm->abortFlag);
|
|
if (childComm->abortFlagDev) ncclCudaHostFree(childComm->abortFlagDev);
|
|
if (childComm->abortFlagRefCount) free(childComm->abortFlagRefCount);
|
|
}
|
|
free(childComm);
|
|
}
|
|
if (newcomm) *newcomm = NULL;
|
|
goto exit;
|
|
}
|
|
|
|
NCCL_API(ncclResult_t, ncclCommShrink, ncclComm_t comm, int* excludeRanksList, int excludeRanksCount, ncclComm_t* newcomm, ncclConfig_t* config, int shrinkFlags);
|
|
ncclResult_t ncclCommShrink_impl(ncclComm_t comm, int* excludeRanksList, int excludeRanksCount, ncclComm_t *newcomm, ncclConfig_t* config, int shrinkFlags) {
|
|
NVTX3_RANGE(NcclNvtxParamsCommShrink)
|
|
ncclResult_t res = ncclSuccess;
|
|
NCCLCHECK(ncclGroupStartInternal());
|
|
// Handle error mode by setting abort flags and waiting for kernels to complete and unset the flags to avoid bootstrap issues
|
|
if (shrinkFlags & NCCL_SHRINK_ABORT) {
|
|
NCCLCHECKGOTO(setCommAbortFlags(comm, 1), res, exit);
|
|
NCCLCHECKGOTO(ncclStrongStreamSynchronize(&comm->sharedRes->deviceStream), res, exit);
|
|
NCCLCHECKGOTO(setCommAbortFlags(comm, 0), res, exit);
|
|
}
|
|
NCCLCHECKGOTO(ncclCommInitChildComm(comm, newcomm, /*isShrink=*/true, shrinkFlags, /*color=*/0, /*key=*/comm->rank, excludeRanksList, excludeRanksCount, config, __func__), res, exit);
|
|
|
|
if (*newcomm) NVTX3_RANGE_ADD_PAYLOAD(CommShrink, NcclNvtxParamsCommShrinkSchema, NVTX3_PAYLOAD(comm->commHash, comm->nRanks, comm->rank, comm->cudaDev, excludeRanksCount));
|
|
|
|
exit:
|
|
(void)ncclGroupErrCheck(res);
|
|
NCCLCHECK(ncclGroupEndInternal());
|
|
return res;
|
|
}
|
|
|
|
NCCL_API(ncclResult_t, ncclCommSplit, ncclComm_t comm, int color, int key, ncclComm_t *newcomm, ncclConfig_t *config);
|
|
ncclResult_t ncclCommSplit_impl(ncclComm_t comm, int color, int key, ncclComm_t *newcomm, ncclConfig_t *config) {
|
|
NVTX3_RANGE(NcclNvtxParamsCommSplit)
|
|
|
|
ncclResult_t res = ncclSuccess;
|
|
NCCLCHECK(ncclGroupStartInternal());
|
|
NCCLCHECKGOTO(ncclCommInitChildComm(comm, newcomm, /*isShrink=*/false, /*shrink mode=*/NCCL_SHRINK_DEFAULT, color, key, NULL, 0, config, __func__), res, exit);
|
|
|
|
if (*newcomm)
|
|
NVTX3_RANGE_ADD_PAYLOAD(CommSplit, NcclNvtxParamsCommSplitSchema, NVTX3_PAYLOAD((*newcomm)->commHash, comm->commHash, comm->nRanks, comm->rank, comm->cudaDev, color, key));
|
|
|
|
exit:
|
|
(void)ncclGroupErrCheck(res);
|
|
NCCLCHECK(ncclGroupEndInternal());
|
|
return res;
|
|
}
|
|
|
|
NCCL_API(const char*, ncclGetErrorString, ncclResult_t code);
|
|
const char* ncclGetErrorString_impl(ncclResult_t code) {
|
|
Recorder::instance().record("GetErrorString");
|
|
switch (code) {
|
|
case ncclSuccess : return "no error";
|
|
case ncclUnhandledCudaError : return "unhandled cuda error (run with NCCL_DEBUG=INFO for details)";
|
|
case ncclSystemError : return "unhandled system error (run with NCCL_DEBUG=INFO for details)";
|
|
case ncclInternalError : return "internal error - please report this issue to the NCCL developers";
|
|
case ncclInvalidArgument : return "invalid argument (run with NCCL_DEBUG=WARN for details)";
|
|
case ncclInvalidUsage : return "invalid usage (run with NCCL_DEBUG=WARN for details)";
|
|
case ncclRemoteError : return "remote process exited or there was a network error";
|
|
case ncclInProgress : return "NCCL operation in progress";
|
|
default : return "unknown result code";
|
|
}
|
|
}
|
|
|
|
/* Returns a human-readable message of the last error that occurred.
|
|
* comm is currently unused and can be set to NULL
|
|
*/
|
|
NCCL_API(const char*, ncclGetLastError, const ncclComm_t comm);
|
|
const char* ncclGetLastError_impl(ncclComm_t comm) {
|
|
Recorder::instance().record("GetLastEror");
|
|
return ncclLastError;
|
|
}
|
|
|
|
NCCL_API(ncclResult_t, ncclCommGetAsyncError, ncclComm_t comm, ncclResult_t *asyncError);
|
|
ncclResult_t ncclCommGetAsyncError_impl(ncclComm_t comm, ncclResult_t *asyncError) {
|
|
Recorder::instance().record("GetAsyncError");
|
|
NCCLCHECK(CommCheck(comm, "ncclGetAsyncError", "comm"));
|
|
NCCLCHECK(PtrCheck(asyncError, "ncclGetAsyncError", "asyncError"));
|
|
|
|
*asyncError = __atomic_load_n(&comm->asyncResult, __ATOMIC_ACQUIRE);
|
|
if (*asyncError == ncclSuccess && comm->proxyState) *asyncError = __atomic_load_n(&comm->proxyState->asyncResult, __ATOMIC_ACQUIRE);
|
|
/* if there is linked group job, we should complete it. */
|
|
if (*asyncError == ncclSuccess && comm->groupJob) {
|
|
NCCLCHECK(ncclGroupJobComplete(comm->groupJob));
|
|
comm->groupJob = NULL;
|
|
}
|
|
return ncclSuccess;
|
|
}
|
|
|
|
NCCL_API(ncclResult_t, ncclCommCount, const ncclComm_t comm, int* count);
|
|
ncclResult_t ncclCommCount_impl(const ncclComm_t comm, int* count) {
|
|
Recorder::instance().record("CommCount");
|
|
NVTX3_FUNC_RANGE_IN(nccl_domain);
|
|
|
|
NCCLCHECK(CommCheck(comm, "CommCount", "comm"));
|
|
NCCLCHECK(PtrCheck(count, "CommCount", "count"));
|
|
|
|
/* init thread must be joined before we access the attributes of comm. */
|
|
NCCLCHECK(ncclCommEnsureReady(comm));
|
|
|
|
*count = comm->nRanks;
|
|
return ncclSuccess;
|
|
}
|
|
|
|
NCCL_API(ncclResult_t, ncclCommCuDevice, const ncclComm_t comm, int* devid);
|
|
ncclResult_t ncclCommCuDevice_impl(const ncclComm_t comm, int* devid) {
|
|
Recorder::instance().record("CuDevice");
|
|
NVTX3_FUNC_RANGE_IN(nccl_domain);
|
|
|
|
NCCLCHECK(CommCheck(comm, "CommCuDevice", "comm"));
|
|
NCCLCHECK(PtrCheck(devid, "CommCuDevice", "devid"));
|
|
|
|
NCCLCHECK(ncclCommEnsureReady(comm));
|
|
|
|
*devid = comm->cudaDev;
|
|
return ncclSuccess;
|
|
}
|
|
|
|
NCCL_API(ncclResult_t, ncclCommUserRank, const ncclComm_t comm, int* rank);
|
|
ncclResult_t ncclCommUserRank_impl(const ncclComm_t comm, int* rank) {
|
|
Recorder::instance().record("CommUserRank");
|
|
NVTX3_FUNC_RANGE_IN(nccl_domain);
|
|
|
|
NCCLCHECK(CommCheck(comm, "CommUserRank", "comm"));
|
|
NCCLCHECK(PtrCheck(rank, "CommUserRank", "rank"));
|
|
|
|
NCCLCHECK(ncclCommEnsureReady(comm));
|
|
|
|
*rank = comm->rank;
|
|
return ncclSuccess;
|
|
}
|