BertanDogancay
89 lines
3.4 KiB
C++
89 lines
3.4 KiB
C++
/*************************************************************************
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* Copyright (c) Microsoft Corporation.
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* Licensed under the MIT License.
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************************************************************************/
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#include "enqueue.h"
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#include "msccl/msccl_parser.h"
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#include "msccl/msccl_setup.h"
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#include "msccl/msccl_status.h"
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#include "api_trace.h"
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#include "nvtx_payload_schemas.h"
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#include <cstdio>
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#include <cstdlib>
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using namespace rccl;
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NCCL_API(ncclResult_t, mscclLoadAlgo, const char *mscclAlgoFilePath, mscclAlgoHandle_t *mscclAlgoHandle, int rank);
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ncclResult_t mscclLoadAlgo_impl(const char *mscclAlgoFilePath, mscclAlgoHandle_t *mscclAlgoHandle, int rank) {
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Recorder::instance().record("mscclLoadAlgo");
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mscclStatus& status = mscclGetStatus(rank);
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if (status.freeAlgoHandles.size() == 0) {
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WARN("MSCCL: MSCCL_MAX_NUM_ALGOS (%d) limit reached", MSCCL_MAX_NUM_ALGOS);
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return ncclInvalidUsage;
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}
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*mscclAlgoHandle = *status.freeAlgoHandles.rbegin();
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status.freeAlgoHandles.pop_back();
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struct mscclAlgo* hostAlgo;
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NCCLCHECK(ncclCalloc(&hostAlgo, 1));
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NCCLCHECK(mscclGetAlgoFromXmlFile(mscclAlgoFilePath, hostAlgo, rank));
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status.hostAlgos[*mscclAlgoHandle] = hostAlgo;
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struct mscclAlgo* devAlgo;
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NCCLCHECK(ncclCudaMalloc(&devAlgo, 1));
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CUDACHECK(hipMemcpy(devAlgo, hostAlgo, sizeof(struct mscclAlgo), hipMemcpyHostToDevice));
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status.devAlgos[*mscclAlgoHandle] = devAlgo;
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return ncclSuccess;
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}
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NCCL_API(ncclResult_t, mscclRunAlgo,
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const void* sendBuff, const size_t sendCounts[], const size_t sDisPls[],
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void* recvBuff, const size_t recvCounts[], const size_t rDisPls[],
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size_t count, ncclDataType_t dataType, int root, int peer, ncclRedOp_t op,
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mscclAlgoHandle_t mscclAlgoHandle, ncclComm_t comm, hipStream_t stream);
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ncclResult_t mscclRunAlgo_impl(
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const void* sendBuff, const size_t sendCounts[], const size_t sDisPls[],
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void* recvBuff, const size_t recvCounts[], const size_t rDisPls[],
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size_t count, ncclDataType_t dataType, int root, int peer, ncclRedOp_t op,
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mscclAlgoHandle_t mscclAlgoHandle, ncclComm_t comm, hipStream_t stream) {
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Recorder::instance().record("mscclRunAlgo");
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NVTX3_FUNC_WITH_PARAMS(MSCCL, NcclNvtxParamsMSCCL,
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NVTX3_PAYLOAD(comm ? comm->commHash : 0, count * ncclTypeSize(dataType), op, dataType));
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mscclStatus& status = mscclGetStatus(comm->rank);
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struct mscclAlgo* hostAlgo = status.hostAlgos[mscclAlgoHandle];
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struct mscclAlgo* devAlgo = status.devAlgos[mscclAlgoHandle];
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// NCCL adds a lot of guarantees that target device is getting used
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// in its group management code, which we entirely skip when MSCCL is used
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// Therefore, in single thread multiGPU mode
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// setting the device is critical to be sure
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// communication is done on the intended device
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CUDACHECK(hipSetDevice(comm->cudaDev));
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NCCLCHECK(mscclGetCaptureStatus(comm->rank, stream));
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NCCLCHECK(mscclSetupCount(hostAlgo, comm, count, dataType));
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NCCLCHECK(mscclSetupScratch(hostAlgo, stream));
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NCCLCHECK(mscclSetupSyncFlags(comm->rank, stream));
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NCCLCHECK(mscclSetupProxy(hostAlgo, comm, stream));
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NCCLCHECK(mscclSetupKernel(sendBuff, recvBuff, count, dataType, op, hostAlgo, devAlgo, comm, stream));
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return ncclSuccess;
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}
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NCCL_API(ncclResult_t, mscclUnloadAlgo, mscclAlgoHandle_t mscclAlgoHandle);
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ncclResult_t mscclUnloadAlgo_impl(mscclAlgoHandle_t mscclAlgoHandle) {
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// deprecated
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Recorder::instance().record("mscclUnloadAlgo");
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return ncclSuccess;
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}
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