Wenkai Du
1053 строки
35 KiB
Plaintext
1053 строки
35 KiB
Plaintext
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/*************************************************************************
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* Copyright (c) 2016-2019, NVIDIA CORPORATION. All rights reserved.
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* Modifications Copyright (c) 2019 Advanced Micro Devices, Inc. All rights reserved.
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*
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* See LICENSE.txt for license information
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************************************************************************/
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#include "hip/hip_runtime.h"
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#include "rccl_bfloat16.h"
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#include "common.h"
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#include <pthread.h>
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#include <cstdio>
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#include <getopt.h>
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#include <libgen.h>
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#include <signal.h>
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#include <algorithm>
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//#define DEBUG_PRINT
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#if NCCL_MAJOR >= 2
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#if RCCL_BFLOAT16 == 1
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ncclDataType_t test_types[ncclNumTypes] = {ncclInt8, ncclUint8, ncclInt32, ncclUint32, ncclInt64, ncclUint64, ncclHalf, ncclFloat, ncclDouble, ncclBfloat16};
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const char *test_typenames[ncclNumTypes] = {"int8", "uint8", "int32", "uint32", "int64", "uint64", "half", "float", "double", "bf16"};
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#else
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ncclDataType_t test_types[ncclNumTypes] = {ncclInt8, ncclUint8, ncclInt32, ncclUint32, ncclInt64, ncclUint64, ncclHalf, ncclFloat, ncclDouble};
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const char *test_typenames[ncclNumTypes] = {"int8", "uint8", "int32", "uint32", "int64", "uint64", "half", "float", "double"};
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#endif
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#else
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ncclDataType_t test_types[ncclNumTypes] = {ncclChar, ncclInt, ncclHalf, ncclFloat, ncclDouble, ncclInt64, ncclUint64};
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const char *test_typenames[ncclNumTypes] = {"char", "int", "half", "float", "double", "int64", "uint64"};
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#endif
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ncclRedOp_t test_ops[ncclNumOps] = {ncclSum, ncclProd, ncclMax, ncclMin};
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const char *test_opnames[ncclNumOps] = {"sum", "prod", "max", "min"};
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const char *test_memorytypes[nccl_NUM_MTYPES] = {"coarse", "fine", "host"};
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thread_local int is_main_thread = 0;
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// Command line parameter defaults
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static int nThreads = 1;
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static int nGpus = 1;
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static size_t minBytes = 32*1024*1024;
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static size_t maxBytes = 32*1024*1024;
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static size_t stepBytes = 1*1024*1024;
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static size_t stepFactor = 1;
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static int datacheck = 1;
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static int warmup_iters = 5;
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static int iters = 20;
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static int agg_iters = 1;
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static int ncclop = ncclSum;
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static int nccltype = ncclFloat;
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static int ncclroot = 0;
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static int parallel_init = 0;
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static int blocking_coll = 0;
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static int memorytype = 0;
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static int stress_cycles = 1;
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static ncclResult_t ncclabort = ncclSuccess;
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static uint32_t cumask[4];
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double parsesize(char *value) {
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long long int units;
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double size;
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if (strchr(value, 'G') != NULL) {
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units=1024*1024*1024;
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} else if (strchr(value, 'M') != NULL) {
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units=1024*1024;
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} else if (strchr(value, 'K') != NULL) {
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units=1024;
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} else {
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units=1;
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}
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size = atof(value)*units;
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return size;
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}
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double DeltaMaxValue(ncclDataType_t type) {
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switch(type) {
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case ncclHalf: return 1e-2;
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case ncclFloat: return 1e-5;
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case ncclDouble: return 1e-12;
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case ncclInt:
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#if NCCL_MAJOR >= 2
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case ncclUint8:
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//case ncclInt32:
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case ncclUint32:
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#endif
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case ncclInt64:
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case ncclUint64: return 1e-200;
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#if NCCL_MAJOR >= 2 && RCCL_BFLOAT16 == 1
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case ncclBfloat16: return 1e-2;
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#endif
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}
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return 1e-200;
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}
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template<typename T> __device__
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double absDiff(T a, T b) {
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return fabs((double)(b - a));
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}
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template<> __device__
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double absDiff<half>(half a, half b) {
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float x = __half2float(a);
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float y = __half2float(b);
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return fabs((double)(y-x));
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}
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template<typename T> __device__
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float toFloat(T a) {
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return (float)a;
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}
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template<> __device__
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float toFloat(half a) {
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return __half2float(a);
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}
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template<typename T, int BSIZE> __global__
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void deltaKern(void* A_, void* B_, size_t count, double* max) {
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const T* A = (const T*)A_;
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const T* B = (const T*)B_;
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__shared__ double temp[BSIZE];
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int tid = threadIdx.x;
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double locmax = 0.0;
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for(int i=tid; i<count; i+=blockDim.x) {
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double delta = absDiff(A[i], B[i]);
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if( delta > locmax ) {
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locmax = delta;
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#ifdef DEBUG_PRINT
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if (delta > .1) printf("Error at %d/%ld : %f != %f\n", i, count, toFloat(A[i]), toFloat(B[i]));
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#endif
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}
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}
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temp[tid] = locmax;
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for(int stride = BSIZE/2; stride > 1; stride>>=1) {
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__syncthreads();
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if( tid < stride )
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temp[tid] = temp[tid] > temp[tid+stride] ? temp[tid] : temp[tid+stride];
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}
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__syncthreads();
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if( threadIdx.x == 0)
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*max = temp[0] > temp[1] ? temp[0] : temp[1];
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}
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testResult_t CheckDelta(void* expected, void* results, size_t count, ncclDataType_t type, double* devmax) {
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switch (type) {
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case ncclHalf:
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hipLaunchKernelGGL((deltaKern<half, 512>), dim3(1), dim3(512), 0, 0, results, expected, count, devmax); break;
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case ncclFloat:
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hipLaunchKernelGGL((deltaKern<float, 512>), dim3(1), dim3(512), 0, 0, results, expected, count, devmax); break;
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case ncclDouble:
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hipLaunchKernelGGL((deltaKern<double, 512>), dim3(1), dim3(512), 0, 0, results, expected, count, devmax); break;
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case ncclChar:
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#if NCCL_MAJOR >= 2
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case ncclUint8:
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#endif
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hipLaunchKernelGGL((deltaKern<uint8_t, 512>), dim3(1), dim3(512), 0, 0, results, expected, count, devmax); break;
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case ncclInt:
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#if NCCL_MAJOR >= 2
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case ncclUint32:
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#endif
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hipLaunchKernelGGL((deltaKern<uint32_t, 512>), dim3(1), dim3(512), 0, 0, results, expected, count, devmax); break;
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case ncclInt64:
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case ncclUint64:
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hipLaunchKernelGGL((deltaKern<uint64_t, 512>), dim3(1), dim3(512), 0, 0, results, expected, count, devmax); break;
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#if NCCL_MAJOR >= 2 && RCCL_BFLOAT16 == 1
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case ncclBfloat16:
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hipLaunchKernelGGL((deltaKern<rccl_bfloat16, 512>), dim3(1), dim3(512), 0, 0, results, expected, count, devmax); break;
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#endif
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}
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HIPCHECK(hipDeviceSynchronize());
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return testSuccess;
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}
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// For integer values, we use values between 0 and 255
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template<typename T>
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__device__ T testValue(const size_t offset, const int rep, const int rank) {
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uint8_t v = (rep+rank+offset) % 256;
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return (T)v;
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}
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// For floating point datatype, we use values between 0 and 1 otherwise the
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// Product operation will produce NaNs.
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template<>
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__device__ double testValue<double>(const size_t offset, const int rep, const int rank) {
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return 1.0/(1.0+(double)testValue<int>(offset, rep, rank));
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}
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template<>
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__device__ float testValue<float>(const size_t offset, const int rep, const int rank) {
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return 1.0/(1.0+(float)testValue<int>(offset, rep, rank));
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}
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template<>
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__device__ half testValue<half>(const size_t offset, const int rep, const int rank) {
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return __float2half(testValue<float>(offset, rep, rank));
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}
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template<>
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__device__ rccl_bfloat16 testValue<rccl_bfloat16>(const size_t offset, const int rep, const int rank) {
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return rccl_bfloat16(testValue<float>(offset, rep, rank));
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}
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// Operations
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template<typename T>
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__device__ T ncclOpSum(T a, T b) { return a+b; }
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template<typename T>
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__device__ T ncclOpProd(T a, T b) { return a*b; }
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template<typename T>
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__device__ T ncclOpMax(T a, T b) { return a>b ? a : b; }
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template<typename T>
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__device__ T ncclOpMin(T a, T b) { return a<b ? a : b; }
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// Definitions for half
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template<>
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__device__ half ncclOpSum(half a, half b) { return __float2half(__half2float(a)+__half2float(b)); }
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template<>
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__device__ half ncclOpProd(half a, half b) { return __float2half(__half2float(a)*__half2float(b)); }
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template<>
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__device__ half ncclOpMax(half a, half b) { return __half2float(a)>__half2float(b) ? a : b; }
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template<>
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__device__ half ncclOpMin(half a, half b) { return __half2float(a)<__half2float(b) ? a : b; }
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template<typename T, T (*Op)(T, T)>
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__global__ void InitDataReduceKernel(void* data, const size_t N, const size_t offset, const int rep, const int nranks) {
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for (size_t o=blockIdx.x*blockDim.x+threadIdx.x; o<N; o+=gridDim.x*blockDim.x) {
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T val = testValue<T>(o+offset, rep, 0);
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for (int i=1; i<nranks; i++) {
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val = Op(val, testValue<T>(o+offset, rep, i));
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}
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((T*)data)[o] = val;
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}
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}
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typedef void(*redInitKern_t)(void* data, const size_t N, const size_t offset, const int rep, const int nranks);
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#define KERN(type, op) InitDataReduceKernel<type, op<type>>
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#define OPS(type) KERN(type, ncclOpSum), KERN(type, ncclOpProd), KERN(type, ncclOpMax), KERN(type, ncclOpMin)
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static redInitKern_t const redInitDataKerns[ncclNumOps*ncclNumTypes] = {
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#if NCCL_MAJOR >= 2
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#if RCCL_BFLOAT16 == 1
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OPS(int8_t), OPS(uint8_t), OPS(int32_t), OPS(uint32_t), OPS(int64_t), OPS(uint64_t), OPS(half), OPS(float), OPS(double), OPS(rccl_bfloat16)
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#else
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OPS(int8_t), OPS(uint8_t), OPS(int32_t), OPS(uint32_t), OPS(int64_t), OPS(uint64_t), OPS(half), OPS(float), OPS(double)
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#endif
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#else
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OPS(char), OPS(int32_t), OPS(half), OPS(float), OPS(double), OPS(int64_t), OPS(uint64_t)
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#endif
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};
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testResult_t InitDataReduce(void* data, const size_t count, const size_t offset, ncclDataType_t type, ncclRedOp_t op, const int rep, const int nranks) {
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dim3 grid = { 32, 1, 1 };
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dim3 block = { 256, 1, 1 };
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hipLaunchKernelGGL((redInitDataKerns[type*ncclNumOps+op]), grid, block, 0, 0, data, count, offset, rep, nranks);
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return testSuccess;
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}
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template<typename T>
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__global__ void InitDataKernel(void* data, const size_t N, const int rep, const int rank) {
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for (size_t o=blockIdx.x*blockDim.x+threadIdx.x; o<N; o+=gridDim.x*blockDim.x)
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((T*)data)[o] = testValue<T>(o, rep, rank);
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}
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typedef void(*initDataKern_t)(void* data, const size_t N, const int rep, const int rank);
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static initDataKern_t const initDataKerns[ncclNumTypes] = {
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#if NCCL_MAJOR >= 2
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InitDataKernel< int8_t>,
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InitDataKernel< uint8_t>,
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InitDataKernel< int32_t>,
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InitDataKernel<uint32_t>,
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InitDataKernel< int64_t>,
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InitDataKernel<uint64_t>,
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InitDataKernel< half>,
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InitDataKernel< float>,
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InitDataKernel< double>,
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#if RCCL_BFLOAT16 == 1
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InitDataKernel<rccl_bfloat16>
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#endif
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#else
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InitDataKernel< char>,
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InitDataKernel< int32_t>,
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InitDataKernel< half>,
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InitDataKernel< float>,
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InitDataKernel< double>,
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InitDataKernel< int64_t>,
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InitDataKernel<uint64_t>,
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#endif
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};
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template<typename T>
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testResult_t InitDataType(void* dest, const size_t N, const int rep, const int rank) {
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T* ptr = (T*)dest;
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hipLaunchKernelGGL((InitDataKernel), dim3(16), dim3(512), 0, 0, ptr, N, rep, rank);
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return testSuccess;
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}
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testResult_t InitData(void* data, const size_t count, ncclDataType_t type, const int rep, const int rank) {
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dim3 grid = { 32, 1, 1 };
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dim3 block = { 256, 1, 1 };
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hipLaunchKernelGGL((initDataKerns[type]), grid, block, 0, 0, data, count, rep, rank);
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return testSuccess;
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}
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void Barrier(struct threadArgs* args)
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{
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while (args->barrier[args->barrier_idx] != args->thread) pthread_yield();
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args->barrier[args->barrier_idx] = args->thread + 1;
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if (args->thread+1 == args->nThreads) {
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#ifdef MPI_SUPPORT
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MPI_Barrier(MPI_COMM_WORLD);
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#endif
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args->barrier[args->barrier_idx] = 0;
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} else {
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while (args->barrier[args->barrier_idx]) pthread_yield();
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}
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args->barrier_idx=!args->barrier_idx;
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}
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testResult_t CheckData(struct threadArgs* args, ncclDataType_t type, ncclRedOp_t op, int root, int in_place, double *delta, bool *error) {
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size_t count = args->expectedBytes/wordSize(type);
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double maxDelta = 0.0;
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for (int i=0; i<args->nGpus; i++) {
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int device;
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int rank = ((args->proc*args->nThreads + args->thread)*args->nGpus + i);
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if (rank != root && strcmp(args->collTest->name, "Gather") == 0)
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continue;
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NCCLCHECK(ncclCommCuDevice(args->comms[i], &device));
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HIPCHECK(hipSetDevice(device));
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void *data = in_place ? ((void *)((uintptr_t)args->recvbuffs[i] + args->recvInplaceOffset*rank)) : args->recvbuffs[i];
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TESTCHECK(CheckDelta(data , args->expected[i], count, type, args->delta));
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maxDelta = std::max(*(args->deltaHost), maxDelta);
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#ifdef DEBUG_PRINT
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//if (rank == 0) {
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int *expectedHost = (int *)malloc(args->expectedBytes);
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int *dataHost = (int *)malloc(args->expectedBytes);
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hipMemcpy(expectedHost, args->expected[rank], args->expectedBytes, hipMemcpyDeviceToHost);
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printf("\n Rank [%d] Expected: ", rank);
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for(int j=0; j<args->expectedBytes/sizeof(int); j++) {
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printf("%d:%d ", j, expectedHost[j]);
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}
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hipMemcpy(dataHost, data, args->expectedBytes, hipMemcpyDeviceToHost);
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printf("\n Rank [%d] Actual: ", rank);
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for (int j=0; j<args->expectedBytes/sizeof(int); j++) {
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printf("%d:%d ", j, dataHost[j]);
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}
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printf("\n");
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free(expectedHost);
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free(dataHost);
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}
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#endif
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}
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double nranks = args->nProcs*args->nThreads*args->nGpus;
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if (args->reportErrors && maxDelta > DeltaMaxValue(type)*(nranks - 1)) args->errors[0]++;
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*delta = maxDelta;
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return testSuccess;
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}
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void INThandler(int sig) {
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char c;
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signal(sig, SIG_IGN);
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printf("\nDo you want to call ncclCommAbort before exit? [y/n] ");
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c = getchar();
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if (c == 'y' || c == 'Y') {
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ncclabort = ncclSystemError;
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signal(SIGINT, INThandler);
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}
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else
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exit (0);
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getchar(); // Get new line character
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}
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testResult_t testStreamSynchronize(int ngpus, hipStream_t* streams, ncclComm_t* comms) {
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hipError_t hipErr;
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int remaining = ngpus;
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int* done = (int*)malloc(sizeof(int)*ngpus);
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memset(done, 0, sizeof(int)*ngpus);
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while (remaining) {
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int idle = 1;
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for (int i=0; i<ngpus; i++) {
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if (done[i]) continue;
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hipErr = hipStreamQuery(streams[i]);
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if (hipErr == hipSuccess) {
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done[i] = 1;
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remaining--;
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idle = 0;
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continue;
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}
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if (hipErr != hipErrorNotReady) HIPCHECK(hipErr);
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#if NCCL_MAJOR >= 2
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#if NCCL_VERSION_CODE >= NCCL_VERSION(2,4,0)
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if (comms) {
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ncclResult_t ncclAsyncErr;
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NCCLCHECK(ncclCommGetAsyncError(comms[i], &ncclAsyncErr));
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if (ncclAsyncErr != ncclSuccess || ncclabort != ncclSuccess) {
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// An asynchronous error happened. Stop the operation and destroy
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// the communicator
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for (int i=0; i<ngpus; i++)
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NCCLCHECK(ncclCommAbort(comms[i]));
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// Let all kernels to exit
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for (int i=0; i<ngpus; i++)
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HIPCHECK(hipStreamSynchronize(streams[i]));
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// Abort the perf test
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NCCLCHECK(ncclAsyncErr);
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NCCLCHECK(ncclabort);
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}
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}
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#endif
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#endif
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}
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// We might want to let other threads (including NCCL threads) use the CPU.
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if (idle) pthread_yield();
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}
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free(done);
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return testSuccess;
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}
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testResult_t startColl(struct threadArgs* args, ncclDataType_t type, ncclRedOp_t op, int root, int in_place, int iter) {
|
|
size_t count = args->nbytes / wordSize(type);
|
|
|
|
// Try to change offset for each iteration so that we avoid cache effects and catch race conditions in ptrExchange
|
|
size_t totalnbytes = max(args->sendBytes, args->expectedBytes);
|
|
size_t shift = (totalnbytes * iter) % args->maxbytes;
|
|
if (shift + totalnbytes > args->maxbytes) shift = 0;
|
|
|
|
if (args->nGpus > 1) NCCLCHECK(ncclGroupStart());
|
|
for (int i = 0; i < args->nGpus; i++) {
|
|
#ifndef NCCL_MAJOR
|
|
int hipDev;
|
|
NCCLCHECK(ncclCommCuDevice(args->comms[i], &hipDev));
|
|
HIPCHECK(hipSetDevice(hipDev));
|
|
#endif
|
|
int rank = ((args->proc*args->nThreads + args->thread)*args->nGpus + i);
|
|
char* recvBuff = ((char*)args->recvbuffs[i]) + shift;
|
|
char* sendBuff = ((char*)args->sendbuffs[i]) + shift;
|
|
TESTCHECK(args->collTest->runColl(
|
|
(void*)(in_place ? recvBuff + args->sendInplaceOffset*rank : sendBuff),
|
|
(void*)(in_place ? recvBuff + args->recvInplaceOffset*rank : recvBuff),
|
|
count, type, op, root, args->comms[i], args->streams[i]));
|
|
}
|
|
if (args->nGpus > 1) NCCLCHECK(ncclGroupEnd());
|
|
|
|
if (blocking_coll) {
|
|
// Complete op before returning
|
|
TESTCHECK(testStreamSynchronize(args->nGpus, args->streams, args->comms));
|
|
}
|
|
if (blocking_coll) Barrier(args);
|
|
return testSuccess;
|
|
}
|
|
|
|
testResult_t completeColl(struct threadArgs* args) {
|
|
if (blocking_coll) return testSuccess;
|
|
|
|
TESTCHECK(testStreamSynchronize(args->nGpus, args->streams, args->comms));
|
|
return testSuccess;
|
|
}
|
|
|
|
testResult_t BenchTime(struct threadArgs* args, ncclDataType_t type, ncclRedOp_t op, int root, int in_place) {
|
|
size_t count = args->nbytes / wordSize(type);
|
|
|
|
// Sync
|
|
TESTCHECK(startColl(args, type, op, root, in_place, 0));
|
|
TESTCHECK(completeColl(args));
|
|
|
|
Barrier(args);
|
|
|
|
// Performance Benchmark
|
|
auto start = std::chrono::high_resolution_clock::now();
|
|
for (int iter = 0; iter < iters; iter++) {
|
|
if (agg_iters>1) NCCLCHECK(ncclGroupStart());
|
|
for (int aiter = 0; aiter < agg_iters; aiter++) {
|
|
TESTCHECK(startColl(args, type, op, root, in_place, iter*agg_iters+aiter));
|
|
}
|
|
if (agg_iters>1) NCCLCHECK(ncclGroupEnd());
|
|
}
|
|
TESTCHECK(completeColl(args));
|
|
|
|
auto delta = std::chrono::high_resolution_clock::now() - start;
|
|
double deltaSec = std::chrono::duration_cast<std::chrono::duration<double>>(delta).count();
|
|
deltaSec = deltaSec/(iters*agg_iters);
|
|
|
|
double algBw, busBw;
|
|
args->collTest->getBw(count, wordSize(type), deltaSec, &algBw, &busBw, args->nProcs*args->nThreads*args->nGpus);
|
|
|
|
Barrier(args);
|
|
|
|
double maxDelta = 0;
|
|
bool error = false;
|
|
static __thread int rep = 0;
|
|
rep++;
|
|
if (datacheck) {
|
|
// Initialize sendbuffs, recvbuffs and expected
|
|
TESTCHECK(args->collTest->initData(args, type, op, root, rep, in_place));
|
|
|
|
//test validation in single itertion, should ideally be included into the multi-iteration run
|
|
TESTCHECK(startColl(args, type, op, root, in_place, 0));
|
|
TESTCHECK(completeColl(args));
|
|
|
|
TESTCHECK(CheckData(args, type, op, root, in_place, &maxDelta, &error));
|
|
|
|
//aggregate delta from all threads and procs
|
|
Barrier(args);
|
|
if (args->thread == 0) {
|
|
for (int i=1; i<args->nThreads; i++) {
|
|
maxDelta += args->deltaThreads[i];
|
|
}
|
|
#ifdef MPI_SUPPORT
|
|
MPI_Allreduce(MPI_IN_PLACE, &maxDelta, 1, MPI_DOUBLE, MPI_MAX, MPI_COMM_WORLD);
|
|
MPI_Allreduce(MPI_IN_PLACE, &error, 1, MPI_C_BOOL, MPI_LOR, MPI_COMM_WORLD);
|
|
#endif
|
|
}
|
|
Barrier(args);
|
|
}
|
|
|
|
double timeUsec = deltaSec*1.0E6;
|
|
char timeStr[10];
|
|
if (timeUsec > 10000.0) {
|
|
sprintf(timeStr, "%7.0f", timeUsec);
|
|
} else if (timeUsec > 100.0) {
|
|
sprintf(timeStr, "%7.1f", timeUsec);
|
|
} else {
|
|
sprintf(timeStr, "%7.2f", timeUsec);
|
|
}
|
|
if (datacheck) {
|
|
PRINT(" %7s %6.2f %6.2f %5.0le%s", timeStr, algBw, busBw, maxDelta, error ? "*" : "");
|
|
} else {
|
|
PRINT(" %7s %6.2f %6.2f %5s", timeStr, algBw, busBw, "N/A");
|
|
}
|
|
|
|
args->bw[0] += busBw;
|
|
args->bw_count[0]++;
|
|
return testSuccess;
|
|
}
|
|
|
|
void setupArgs(size_t size, ncclDataType_t type, struct threadArgs* args) {
|
|
int nranks = args->nProcs*args->nGpus*args->nThreads;
|
|
size_t count, sendCount, recvCount, paramCount, sendInplaceOffset, recvInplaceOffset;
|
|
|
|
count = size / wordSize(type);
|
|
args->collTest->getCollByteCount(&sendCount, &recvCount, ¶mCount, &sendInplaceOffset, &recvInplaceOffset, (size_t)count, (size_t)nranks);
|
|
|
|
args->nbytes = paramCount * wordSize(type);
|
|
args->sendBytes = sendCount * wordSize(type);
|
|
args->expectedBytes = recvCount * wordSize(type);
|
|
args->sendInplaceOffset = sendInplaceOffset * wordSize(type);
|
|
args->recvInplaceOffset = recvInplaceOffset * wordSize(type);
|
|
}
|
|
|
|
testResult_t TimeTest(struct threadArgs* args, ncclDataType_t type, const char* typeName, ncclRedOp_t op, const char* opName, int root) {
|
|
// Warm-up for large size
|
|
setupArgs(args->maxbytes, type, args);
|
|
for (int iter = 0; iter < warmup_iters; iter++) {
|
|
TESTCHECK(startColl(args, type, op, root, 0, iter));
|
|
}
|
|
TESTCHECK(completeColl(args));
|
|
|
|
// Warm-up for small size
|
|
setupArgs(args->minbytes, type, args);
|
|
for (int iter = 0; iter < warmup_iters; iter++) {
|
|
TESTCHECK(startColl(args, type, op, root, 0, iter));
|
|
}
|
|
TESTCHECK(completeColl(args));
|
|
|
|
for (size_t iter = 0; iter < stress_cycles; iter++) {
|
|
if (iter > 0) PRINT("# Testing %lu cycle.\n", iter+1);
|
|
// Benchmark
|
|
for (size_t size = args->minbytes; size<=args->maxbytes; size = ((args->stepfactor > 1) ? size*args->stepfactor : size+args->stepbytes)) {
|
|
setupArgs(size, type, args);
|
|
print_line_header(std::max(args->sendBytes, args->expectedBytes), args->nbytes / wordSize(type), typeName, opName, root);
|
|
TESTCHECK(BenchTime(args, type, op, root, 0));
|
|
TESTCHECK(BenchTime(args, type, op, root, 1));
|
|
PRINT("\n");
|
|
}
|
|
}
|
|
return testSuccess;
|
|
}
|
|
|
|
testResult_t threadRunTests(struct threadArgs* args) {
|
|
// Set device to the first of our GPUs. If we don't do that, some operations
|
|
// will be done on the current GPU (by default : 0) and if the GPUs are in
|
|
// exclusive mode those operations will fail.
|
|
int gpuid = args->localRank*args->nThreads*args->nGpus + args->thread*args->nGpus;
|
|
HIPCHECK(hipSetDevice(gpuid));
|
|
TESTCHECK(ncclTestEngine.runTest(args, ncclroot, (ncclDataType_t)nccltype, test_typenames[nccltype], (ncclRedOp_t)ncclop, test_opnames[ncclop]));
|
|
return testSuccess;
|
|
}
|
|
|
|
testResult_t threadInit(struct threadArgs* args) {
|
|
char hostname[1024];
|
|
getHostName(hostname, 1024);
|
|
int nranks = args->nProcs*args->nThreads*args->nGpus;
|
|
|
|
//set main thread again
|
|
is_main_thread = (args->proc == 0 && args->thread == 0) ? 1 : 0;
|
|
|
|
NCCLCHECK(ncclGroupStart());
|
|
for (int i=0; i<args->nGpus; i++) {
|
|
int rank = args->proc*args->nThreads*args->nGpus + args->thread*args->nGpus + i;
|
|
int gpuid = args->localRank*args->nThreads*args->nGpus + args->thread*args->nGpus + i;
|
|
HIPCHECK(hipSetDevice(gpuid));
|
|
NCCLCHECK(ncclCommInitRank(args->comms+i, nranks, args->ncclId, rank));
|
|
}
|
|
NCCLCHECK(ncclGroupEnd());
|
|
|
|
TESTCHECK(threadRunTests(args));
|
|
|
|
for (int i=0; i<args->nGpus; i++) {
|
|
#if NCCL_MAJOR >= 2
|
|
NCCLCHECK(ncclCommDestroy(args->comms[i]));
|
|
#else
|
|
ncclCommDestroy(args->comms[i]);
|
|
#endif
|
|
}
|
|
return testSuccess;
|
|
}
|
|
|
|
void* threadLauncher(void* thread_) {
|
|
struct testThread* thread = (struct testThread*)thread_;
|
|
thread->ret = thread->func(&thread->args);
|
|
return NULL;
|
|
}
|
|
testResult_t threadLaunch(struct testThread* thread) {
|
|
pthread_create(&thread->thread, NULL, threadLauncher, thread);
|
|
return testSuccess;
|
|
}
|
|
|
|
testResult_t AllocateBuffs(void **sendbuff, size_t sendBytes, void **recvbuff, size_t recvBytes, void **expected, size_t nbytes, int nranks) {
|
|
if (memorytype == ncclFine) {
|
|
HIPCHECK(hipExtMallocWithFlags(sendbuff, nbytes, hipDeviceMallocFinegrained));
|
|
HIPCHECK(hipExtMallocWithFlags(recvbuff, nbytes, hipDeviceMallocFinegrained));
|
|
HIPCHECK(hipExtMallocWithFlags(expected, recvBytes, hipDeviceMallocFinegrained));
|
|
}
|
|
else if (memorytype == ncclHost) {
|
|
HIPCHECK(hipHostMalloc(sendbuff, nbytes));
|
|
HIPCHECK(hipHostMalloc(recvbuff, nbytes));
|
|
HIPCHECK(hipHostMalloc(expected, recvBytes));
|
|
}
|
|
else {
|
|
HIPCHECK(hipMalloc(sendbuff, nbytes));
|
|
HIPCHECK(hipMalloc(recvbuff, nbytes));
|
|
HIPCHECK(hipMalloc(expected, recvBytes));
|
|
}
|
|
return testSuccess;
|
|
}
|
|
|
|
testResult_t run(); // Main function
|
|
|
|
int main(int argc, char* argv[]) {
|
|
#if NCCL_MAJOR >= 2
|
|
#if NCCL_VERSION_CODE >= NCCL_VERSION(2,4,0)
|
|
// may call ncclCommAbort
|
|
signal(SIGINT, INThandler);
|
|
#endif
|
|
#endif
|
|
// Make sure everyline is flushed so that we see the progress of the test
|
|
setlinebuf(stdout);
|
|
|
|
// Parse args
|
|
int longindex;
|
|
static struct option longopts[] = {
|
|
{"nthreads", required_argument, 0, 't'},
|
|
{"ngpus", required_argument, 0, 'g'},
|
|
{"minbytes", required_argument, 0, 'b'},
|
|
{"maxbytes", required_argument, 0, 'e'},
|
|
{"stepbytes", required_argument, 0, 'i'},
|
|
{"stepfactor", required_argument, 0, 'f'},
|
|
{"iters", required_argument, 0, 'n'},
|
|
{"agg_iters", required_argument, 0, 'm'},
|
|
{"warmup_iters", required_argument, 0, 'w'},
|
|
{"parallel_init", required_argument, 0, 'p'},
|
|
{"check", required_argument, 0, 'c'},
|
|
{"op", required_argument, 0, 'o'},
|
|
{"datatype", required_argument, 0, 'd'},
|
|
{"root", required_argument, 0, 'r'},
|
|
{"blocking", required_argument, 0, 'z'},
|
|
{"memory_type", required_argument, 0, 'y'},
|
|
{"stress_cycles", required_argument, 0, 's'},
|
|
{"cumask", required_argument, 0, 'u'},
|
|
{"help", no_argument, 0, 'h'}
|
|
};
|
|
|
|
while(1) {
|
|
int c;
|
|
c = getopt_long(argc, argv, "t:g:b:e:i:f:n:m:w:p:c:o:d:r:z:y:s:u:h", longopts, &longindex);
|
|
|
|
if (c == -1)
|
|
break;
|
|
|
|
switch(c) {
|
|
case 't':
|
|
nThreads = strtol(optarg, NULL, 0);
|
|
break;
|
|
case 'g':
|
|
nGpus = strtol(optarg, NULL, 0);
|
|
break;
|
|
case 'b':
|
|
minBytes = (size_t)parsesize(optarg);
|
|
break;
|
|
case 'e':
|
|
maxBytes = (size_t)parsesize(optarg);
|
|
break;
|
|
case 'i':
|
|
stepBytes = strtol(optarg, NULL, 0);
|
|
break;
|
|
case 'f':
|
|
stepFactor = strtol(optarg, NULL, 0);
|
|
break;
|
|
case 'n':
|
|
iters = (int)strtol(optarg, NULL, 0);
|
|
break;
|
|
case 'm':
|
|
#if NCCL_MAJOR >= 2 && NCCL_MINOR >= 2
|
|
agg_iters = (int)strtol(optarg, NULL, 0);
|
|
#else
|
|
printf("Option -m not supported before NCCL 2.2. Ignoring\n");
|
|
#endif
|
|
break;
|
|
case 'w':
|
|
warmup_iters = (int)strtol(optarg, NULL, 0);
|
|
break;
|
|
case 'c':
|
|
datacheck = (int)strtol(optarg, NULL, 0);
|
|
break;
|
|
case 'p':
|
|
parallel_init = (int)strtol(optarg, NULL, 0);
|
|
break;
|
|
case 'o':
|
|
ncclop = ncclstringtoop(optarg);
|
|
break;
|
|
case 'd':
|
|
nccltype = ncclstringtotype(optarg);
|
|
break;
|
|
case 'r':
|
|
ncclroot = strtol(optarg, NULL, 0);
|
|
break;
|
|
case 'z':
|
|
blocking_coll = strtol(optarg, NULL, 0);
|
|
break;
|
|
case 'y':
|
|
memorytype = ncclstringtomtype(optarg);
|
|
break;
|
|
case 's':
|
|
stress_cycles = strtol(optarg, NULL, 0);
|
|
break;
|
|
case 'u':
|
|
{
|
|
int nmasks = 0;
|
|
char *mask = strtok(optarg, ",");
|
|
while (mask != NULL && nmasks < 4) {
|
|
cumask[nmasks++] = strtol(mask, NULL, 16);
|
|
mask = strtok(NULL, ",");
|
|
};
|
|
}
|
|
break;
|
|
case 'h':
|
|
printf("USAGE: %s \n\t"
|
|
"[-t,--nthreads <num threads>] \n\t"
|
|
"[-g,--ngpus <gpus per thread>] \n\t"
|
|
"[-b,--minbytes <min size in bytes>] \n\t"
|
|
"[-e,--maxbytes <max size in bytes>] \n\t"
|
|
"[-i,--stepbytes <increment size>] \n\t"
|
|
"[-f,--stepfactor <increment factor>] \n\t"
|
|
"[-n,--iters <iteration count>] \n\t"
|
|
"[-m,--agg_iters <aggregated iteration count>] \n\t"
|
|
"[-w,--warmup_iters <warmup iteration count>] \n\t"
|
|
"[-p,--parallel_init <0/1>] \n\t"
|
|
"[-c,--check <0/1>] \n\t"
|
|
"[-o,--op <sum/prod/min/max/all>] \n\t"
|
|
"[-d,--datatype <nccltype/all>] \n\t"
|
|
"[-r,--root <root>] \n\t"
|
|
"[-z,--blocking <0/1>] \n\t"
|
|
"[-y,--memory_type <coarse/fine/host>] \n\t"
|
|
"[-s,--stress_cycles <number of cycles>] \n\t"
|
|
"[-u,--cumask <d0,d1,d2,d3>] \n\t"
|
|
"[-h,--help]\n",
|
|
basename(argv[0]));
|
|
return 0;
|
|
default:
|
|
printf("invalid option \n");
|
|
printf("USAGE: %s \n\t"
|
|
"[-t,--nthreads <num threads>] \n\t"
|
|
"[-g,--ngpus <gpus per thread>] \n\t"
|
|
"[-b,--minbytes <min size in bytes>] \n\t"
|
|
"[-e,--maxbytes <max size in bytes>] \n\t"
|
|
"[-i,--stepbytes <increment size>] \n\t"
|
|
"[-f,--stepfactor <increment factor>] \n\t"
|
|
"[-n,--iters <iteration count>] \n\t"
|
|
"[-m,--agg_iters <aggregated iteration count>] \n\t"
|
|
"[-w,--warmup_iters <warmup iteration count>] \n\t"
|
|
"[-p,--parallel_init <0/1>] \n\t"
|
|
"[-c,--check <0/1>] \n\t"
|
|
"[-o,--op <sum/prod/min/max/all>] \n\t"
|
|
"[-d,--datatype <nccltype/all>] \n\t"
|
|
"[-r,--root <root>] \n\t"
|
|
"[-z,--blocking <0/1>] \n\t"
|
|
"[-y,--memory_type <coarse/fine/host>] \n\t"
|
|
"[-s,--stress_cycles <number of cycles>] \n\t"
|
|
"[-u,--cumask <d0,d1,d2,d3>] \n\t"
|
|
"[-h,--help]\n",
|
|
basename(argv[0]));
|
|
return 0;
|
|
}
|
|
}
|
|
|
|
int numDevices;
|
|
HIPCHECK(hipGetDeviceCount(&numDevices));
|
|
if (nGpus > numDevices)
|
|
{
|
|
fprintf(stderr, "[ERROR] The number of requested GPUs (%d) is greater than the number of GPUs available (%d)\n", nGpus, numDevices);
|
|
return testNcclError;
|
|
}
|
|
|
|
#ifdef MPI_SUPPORT
|
|
MPI_Init(&argc, &argv);
|
|
#endif
|
|
return run();
|
|
}
|
|
|
|
testResult_t run() {
|
|
int nProcs = 1, proc = 0;
|
|
int localRank = 0;
|
|
char hostname[1024];
|
|
getHostName(hostname, 1024);
|
|
|
|
#ifdef MPI_SUPPORT
|
|
MPI_Comm_size(MPI_COMM_WORLD, &nProcs);
|
|
MPI_Comm_rank(MPI_COMM_WORLD, &proc);
|
|
uint64_t hostHashs[nProcs];
|
|
hostHashs[proc] = getHostHash(hostname);
|
|
MPI_Allgather(MPI_IN_PLACE, 0, MPI_DATATYPE_NULL, hostHashs, sizeof(uint64_t), MPI_BYTE, MPI_COMM_WORLD);
|
|
for (int p=0; p<nProcs; p++) {
|
|
if (p == proc) break;
|
|
if (hostHashs[p] == hostHashs[proc]) localRank++;
|
|
}
|
|
#endif
|
|
is_main_thread = (proc == 0) ? 1 : 0;
|
|
|
|
PRINT("# nThread: %d nGpus: %d minBytes: %ld maxBytes: %ld step: %ld(%s) warmupIters: %d iters: %d validation: %d \n", nThreads, nGpus, minBytes, maxBytes,
|
|
(stepFactor > 1)?stepFactor:stepBytes, (stepFactor > 1)?"factor":"bytes", warmup_iters, iters, datacheck);
|
|
if (blocking_coll) PRINT("# Blocking Enabled: wait for completion and barrier after each collective \n");
|
|
if (parallel_init) PRINT("# Parallel Init Enabled: threads call into NcclInitRank concurrently \n");
|
|
PRINT("#\n");
|
|
|
|
PRINT("# Using devices\n");
|
|
#define MAX_LINE 2048
|
|
char line[MAX_LINE];
|
|
int len = 0;
|
|
for (int i=0; i<nThreads*nGpus; i++) {
|
|
int hipDev = localRank*nThreads*nGpus+i;
|
|
int rank = proc*nThreads*nGpus+i;
|
|
hipDeviceProp_t prop;
|
|
HIPCHECK(hipGetDeviceProperties(&prop, hipDev));
|
|
len += snprintf(line+len, MAX_LINE>len ? MAX_LINE-len : 0, "# Rank %2d Pid %6d on %10s device %2d [0x%02x] %s\n",
|
|
rank, getpid(), hostname, hipDev, prop.pciBusID, prop.name);
|
|
}
|
|
|
|
#if MPI_SUPPORT
|
|
char *lines = (proc == 0) ? (char *)malloc(nProcs*MAX_LINE) : NULL;
|
|
// Gather all output in rank order to root (0)
|
|
MPI_Gather(line, MAX_LINE, MPI_BYTE, lines, MAX_LINE, MPI_BYTE, 0, MPI_COMM_WORLD);
|
|
if (proc == 0) {
|
|
for (int p = 0; p < nProcs; p++)
|
|
PRINT("%s", lines+MAX_LINE*p);
|
|
free(lines);
|
|
}
|
|
#else
|
|
PRINT("%s", line);
|
|
#endif
|
|
|
|
ncclUniqueId ncclId;
|
|
if (proc == 0) {
|
|
NCCLCHECK(ncclGetUniqueId(&ncclId));
|
|
}
|
|
#ifdef MPI_SUPPORT
|
|
MPI_Bcast(&ncclId, sizeof(ncclId), MPI_BYTE, 0, MPI_COMM_WORLD);
|
|
#endif
|
|
hipStream_t streams[nGpus*nThreads];
|
|
void* sendbuffs[nGpus*nThreads];
|
|
void* recvbuffs[nGpus*nThreads];
|
|
void* expected[nGpus*nThreads];
|
|
size_t sendBytes, recvBytes;
|
|
|
|
ncclTestEngine.getBuffSize(&sendBytes, &recvBytes, (size_t)maxBytes, (size_t)nProcs*nGpus*nThreads);
|
|
|
|
for (int i=0; i<nGpus*nThreads; i++) {
|
|
HIPCHECK(hipSetDevice(localRank*nThreads*nGpus+i));
|
|
AllocateBuffs(sendbuffs+i, sendBytes, recvbuffs+i, recvBytes, expected+i, (size_t)maxBytes, nProcs*nThreads*nGpus);
|
|
if (cumask[0] || cumask[1] || cumask[2] || cumask[3]) {
|
|
PRINT("cumask: ");
|
|
for (int i = 0; i < 4 ; i++) PRINT("%x,", cumask[i]);
|
|
PRINT("\n");
|
|
HIPCHECK(hipExtStreamCreateWithCUMask(streams+i, 4, cumask));
|
|
} else
|
|
HIPCHECK(hipStreamCreateWithFlags(streams+i, hipStreamNonBlocking));
|
|
// initialize data buffer to avoid all zero data
|
|
#if NCCL_MAJOR >= 2
|
|
TESTCHECK(InitData(sendbuffs[i], sendBytes, ncclUint8, 0, i));
|
|
#else
|
|
TESTCHECK(InitData(sendbuffs[i], sendBytes, ncclChar, 0, i));
|
|
#endif
|
|
HIPCHECK(hipDeviceSynchronize());
|
|
}
|
|
|
|
//if parallel init is not selected, use main thread to initialize NCCL
|
|
ncclComm_t* comms = (ncclComm_t*)malloc(sizeof(ncclComm_t)*nThreads*nGpus);
|
|
if (!parallel_init) {
|
|
if (nProcs == 1) {
|
|
int gpuArray[nGpus*nThreads];
|
|
for (int i=0; i<nGpus*nThreads; i++) gpuArray[i] = i;
|
|
NCCLCHECK(ncclCommInitAll(comms, nGpus*nThreads, gpuArray));
|
|
} else {
|
|
NCCLCHECK(ncclGroupStart());
|
|
for (int i=0; i<nGpus*nThreads; i++) {
|
|
HIPCHECK(hipSetDevice(localRank*nThreads*nGpus+i));
|
|
NCCLCHECK(ncclCommInitRank(comms+i, nProcs*nThreads*nGpus, ncclId, proc*nThreads*nGpus+i));
|
|
}
|
|
NCCLCHECK(ncclGroupEnd());
|
|
}
|
|
}
|
|
|
|
int errors[nThreads];
|
|
double bw[nThreads];
|
|
double* delta;
|
|
HIPCHECK(hipHostMalloc(&delta, sizeof(double)*nThreads, hipHostMallocPortable | hipHostMallocMapped));
|
|
int bw_count[nThreads];
|
|
for (int t=0; t<nThreads; t++) {
|
|
bw[t] = 0.0;
|
|
errors[t] = bw_count[t] = 0;
|
|
}
|
|
|
|
PRINT("#\n");
|
|
print_header();
|
|
|
|
int* sync = (int*)calloc(2, sizeof(int));
|
|
int* barrier = (int*)calloc(2, sizeof(int));
|
|
|
|
struct testThread threads[nThreads];
|
|
memset(threads, 0, sizeof(struct testThread)*nThreads);
|
|
|
|
for (int t=nThreads-1; t>=0; t--) {
|
|
threads[t].args.minbytes=minBytes;
|
|
threads[t].args.maxbytes=maxBytes;
|
|
threads[t].args.stepbytes=stepBytes;
|
|
threads[t].args.stepfactor=stepFactor;
|
|
threads[t].args.localRank = localRank;
|
|
|
|
threads[t].args.nProcs=nProcs;
|
|
threads[t].args.proc=proc;
|
|
threads[t].args.nThreads=nThreads;
|
|
threads[t].args.thread=t;
|
|
threads[t].args.nGpus=nGpus;
|
|
threads[t].args.sendbuffs = sendbuffs+t*nGpus;
|
|
threads[t].args.recvbuffs = recvbuffs+t*nGpus;
|
|
threads[t].args.expected = expected+t*nGpus;
|
|
threads[t].args.ncclId = ncclId;
|
|
threads[t].args.comms=comms+t*nGpus;
|
|
threads[t].args.streams=streams+t*nGpus;
|
|
|
|
threads[t].args.barrier = (volatile int*)barrier;
|
|
threads[t].args.barrier_idx = 0;
|
|
threads[t].args.sync = (volatile int*)sync;
|
|
threads[t].args.sync_idx = 0;
|
|
threads[t].args.deltaThreads = delta;
|
|
threads[t].args.deltaHost = (delta + t);
|
|
threads[t].args.delta = delta;
|
|
threads[t].args.errors=errors+t;
|
|
threads[t].args.bw=bw+t;
|
|
threads[t].args.bw_count=bw_count+t;
|
|
|
|
threads[t].args.reportErrors = 1;
|
|
|
|
threads[t].func = parallel_init ? threadInit : threadRunTests;
|
|
if (t)
|
|
TESTCHECK(threadLaunch(threads+t));
|
|
else
|
|
TESTCHECK(threads[t].func(&threads[t].args));
|
|
}
|
|
|
|
// Wait for other threads and accumulate stats and errors
|
|
for (int t=nThreads-1; t>=0; t--) {
|
|
if (t) pthread_join(threads[t].thread, NULL);
|
|
TESTCHECK(threads[t].ret);
|
|
|
|
if (t) {
|
|
errors[0] += errors[t];
|
|
bw[0] += bw[t];
|
|
bw_count[0] += bw_count[t];
|
|
}
|
|
}
|
|
|
|
#ifdef MPI_SUPPORT
|
|
MPI_Allreduce(MPI_IN_PLACE, &errors[0], 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
|
|
#endif
|
|
|
|
if (!parallel_init) {
|
|
for(int i=0; i<nGpus*nThreads; ++i)
|
|
#if NCCL_MAJOR >= 2
|
|
NCCLCHECK(ncclCommDestroy(comms[i]));
|
|
#else
|
|
ncclCommDestroy(comms[i]);
|
|
#endif
|
|
free(comms);
|
|
}
|
|
|
|
// Free off HIP allocated memory
|
|
for (int i=0; i<nGpus*nThreads; i++) {
|
|
if (memorytype == ncclHost) {
|
|
HIPCHECK(hipHostFree(sendbuffs[i]));
|
|
HIPCHECK(hipHostFree(recvbuffs[i]));
|
|
HIPCHECK(hipHostFree(expected[i]));
|
|
}
|
|
else {
|
|
HIPCHECK(hipFree(sendbuffs[i]));
|
|
HIPCHECK(hipFree(recvbuffs[i]));
|
|
HIPCHECK(hipFree(expected[i]));
|
|
}
|
|
}
|
|
HIPCHECK(hipHostFree(delta));
|
|
|
|
char* str = getenv("NCCL_TESTS_MIN_BW");
|
|
double check_avg_bw = str ? atof(str) : -1;
|
|
bw[0] /= bw_count[0];
|
|
|
|
if (datacheck) PRINT("# Errors with asterisks indicate errors that have exceeded the maximum threshold.\n");
|
|
PRINT("# Out of bounds values : %d %s\n", errors[0], errors[0] ? "FAILED" : "OK");
|
|
PRINT("# Avg bus bandwidth : %g %s\n", bw[0], check_avg_bw == -1 ? "" : (bw[0] < check_avg_bw*(0.9) ? "FAILED" : "OK"));
|
|
PRINT("#\n");
|
|
#ifdef MPI_SUPPORT
|
|
MPI_Finalize();
|
|
#endif
|
|
|
|
// 'hip-memcheck --leak-check full' requires this
|
|
hipDeviceReset();
|
|
|
|
if (errors[0] || bw[0] < check_avg_bw*(0.9))
|
|
exit(EXIT_FAILURE);
|
|
else
|
|
exit(EXIT_SUCCESS);
|
|
}
|