HealthCheck.hpp

/*
Copyright (c) Advanced Micro Devices, Inc. All rights reserved.

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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
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*/

enum {
  HBM_READ      = 0,
  HBM_WRITE     = 1,
  HBM_COPY      = 2,
  HBM_ADD       = 3,
  NUM_HBM_TESTS = 4
} HbmTests;

struct HbmTestConfig
{
  std::string name;
  int numInputs;
  int numOutputs;
};

HbmTestConfig HbmTestConfigs[NUM_HBM_TESTS] =
{ {"READ",  1, 0},
  {"WRITE", 0, 1},
  {"COPY",  1, 1},
  {"ADD",   2, 1}
};

typedef struct
{
  double unidirHostToDeviceCopyLimit;
  double unidirDeviceToHostCopyLimit;
  double bidirDmaCopyLimit;
  int    a2aUnrollFactor;
  int    a2aNumSubExecs;
  double a2aCopyLimit;

  int    hbmBlockSize   [NUM_HBM_TESTS];
  int    hbmUnrollFactor[NUM_HBM_TESTS];
  int    hbmTemporalMode[NUM_HBM_TESTS];
  double hbmLimit       [NUM_HBM_TESTS];
} TestConfig;

typedef enum
{
  MODEL_08_GFX0942_304 = 0,
  MODEL_08_GFX0942_064 = 1,
  NUM_SUPPORTED_MODELS = 2
} ModelEnum;

// All limits are scaled by this factor
#define SFACTOR 0.97

TestConfig Config_08_GFX0942_304 = {
  .unidirHostToDeviceCopyLimit   = 50,
  .unidirDeviceToHostCopyLimit   = 50,
  .bidirDmaCopyLimit             = 90,
  .a2aUnrollFactor               = 2,
  .a2aNumSubExecs                = 8,
  .a2aCopyLimit                  = 45,
  .hbmBlockSize                  = { 384,  256,  320,  256},
  .hbmUnrollFactor               = {   7,    4,    8,    7},
  .hbmTemporalMode               = {   3,    3,    3,    3},
  .hbmLimit                      = {4980, 4850, 2045, 1405},
};

TestConfig Config_08_GFX0942_064 = {
  .unidirHostToDeviceCopyLimit   = 50,
  .unidirDeviceToHostCopyLimit   = 50,
  .bidirDmaCopyLimit             = 90,
  .a2aUnrollFactor               = 2,
  .a2aNumSubExecs                = 8,
  .a2aCopyLimit                  = 45,
  .hbmBlockSize                  = { 448,  448,  448,  384},
  .hbmUnrollFactor               = {   8,    3,    8,    7},
  .hbmTemporalMode               = {   3,    3,    3,    3},
  .hbmLimit                      = {4180, 2800, 1400, 1055},
};

TestConfig TestConfigs[NUM_SUPPORTED_MODELS] =
{
  Config_08_GFX0942_304,
  Config_08_GFX0942_064,
};

int DetectModel()
{
  int numGpuDevices = TransferBench::GetNumExecutors(EXE_GPU_GFX);

  std::string archName = "";
  int numSubExecutors = 0;

  // Loop over all GPUs and determine if they are identical
  for (int gpuId = 0; gpuId < numGpuDevices; gpuId++) {
    // Check that arch name is identical
    hipDeviceProp_t prop;
    HIP_CALL(hipGetDeviceProperties(&prop, gpuId));
    std::string fullName = prop.gcnArchName;
    std::string currArchName = fullName.substr(0, fullName.find(':'));
    if (archName != "" && archName != currArchName) {
      printf("[WARN] healthcheck preset is currently only supported when all GPUs are identical\n");
      printf("       Detected both %s and %s\n", archName.c_str(), currArchName.c_str());
      exit(1);
    }
    archName = currArchName;

    // Check number of subexecutors
    int currNumSubExecutors = TransferBench::GetNumSubExecutors({EXE_GPU_GFX, gpuId});
    if (numSubExecutors != 0 && numSubExecutors != currNumSubExecutors) {
      printf("[WARN] healthcheck preset is currently only supported when all GPUs are identical\n");
      printf("       Detected different subexecutor counts: %d and %d\n", numSubExecutors, currNumSubExecutors);
      exit(1);
    }
    numSubExecutors = currNumSubExecutors;
  }

  // Classify based on detected configuration
  if (numGpuDevices == 8) {
    if (archName == "gfx942") {
      switch (numSubExecutors) {
      case 304: return MODEL_08_GFX0942_304;
      case 64:  return MODEL_08_GFX0942_064;
      }
    }
  }

  printf("[WARN] healthcheck preset is currently not supported on this hardware\n");
  printf("       Detected %d x [%s] with [%d] subexecutors per GPU\n", numGpuDevices, archName.c_str(), numSubExecutors);
  exit(1);
}

int TestUnidir(int modelId, bool verbose)
{
  TestConfig const& testConfig = TestConfigs[modelId];
  TransferBench::ConfigOptions cfg;
  TransferBench::TestResults results;

  int hasFail = 0;
  int numGpuDevices = TransferBench::GetNumExecutors(EXE_GPU_GFX);
  cfg.dma.useHsaCopy = 1;

  // Run unidirectional host to device copy
  printf("Testing unidirectional host to device copy%c", verbose ? '\n' : ' ');
  {
    double limit = testConfig.unidirHostToDeviceCopyLimit * SFACTOR;

    std::vector<std::pair<int, double>> fails;
    for (int gpuId = 0; gpuId < numGpuDevices; gpuId++) {
      if (!verbose) printf(".");
      fflush(stdout);

      int memIndex = TransferBench::GetClosestCpuNumaToGpu(gpuId);
      if (memIndex == -1) {
        printf("[ERROR] Unable to detect closest CPU NUMA node to GPU %d\n", gpuId);
        exit(1);
      }

      std::vector<Transfer> transfers(1);
      Transfer& t   = transfers[0];
      t.exeDevice   = {EXE_GPU_DMA, gpuId};
      t.numBytes    = 256*1024*1024;
      t.srcs        = {{MEM_CPU, memIndex}};
      t.dsts        = {{MEM_GPU, gpuId}};
      t.numSubExecs = 1;

      if (TransferBench::RunTransfers(cfg, transfers, results)) {
        double measuredBw = results.tfrResults[0].avgBandwidthGbPerSec;
        if (measuredBw < limit) {
          fails.push_back(std::make_pair(gpuId, measuredBw));
        }
        if (verbose) printf("   GPU %02d: Measured %6.2f Limit %6.2f\n", gpuId, measuredBw, limit);
      } else {
        PrintErrors(results.errResults);
      }
    }

    if (fails.size() == 0) {
      printf("PASS\n");
    } else {
      hasFail = 1;
      printf("FAIL (%lu test(s))\n", fails.size());
      for (auto p : fails) {
        printf(" GPU %02d: Measured: %6.2f GB/s      Criteria: %6.2f GB/s\n", p.first, p.second, limit);
      }
    }
  }

  // Run unidirectional device to host copy
  printf("Testing unidirectional device to host copy%c", verbose ? '\n' : ' ');
  {
    double limit = testConfig.unidirDeviceToHostCopyLimit * SFACTOR;

    std::vector<std::pair<int, double>> fails;
    for (int gpuId = 0; gpuId < numGpuDevices; gpuId++) {
      if (!verbose) printf(".");
      fflush(stdout);

      int memIndex = TransferBench::GetClosestCpuNumaToGpu(gpuId);
      if (memIndex == -1) {
        printf("[ERROR] Unable to detect closest CPU NUMA node to GPU %d\n", gpuId);
        exit(1);
      }

      std::vector<Transfer> transfers(1);
      Transfer& t   = transfers[0];
      t.exeDevice   = {EXE_GPU_DMA, gpuId};
      t.numBytes    = 256*1024*1024;
      t.srcs        = {{MEM_GPU, gpuId}};
      t.dsts        = {{MEM_CPU, memIndex}};
      t.numSubExecs = 1;

      if (TransferBench::RunTransfers(cfg, transfers, results)) {
        double measuredBw = results.tfrResults[0].avgBandwidthGbPerSec;
        if (measuredBw < limit) {
          fails.push_back(std::make_pair(gpuId, measuredBw));
        }
        if (verbose) printf("   GPU %02d: Measured %6.2f Limit %6.2f\n", gpuId, measuredBw, limit);
      } else {
        PrintErrors(results.errResults);
      }
    }

    if (fails.size() == 0) {
      printf("PASS\n");
    } else {
      hasFail = 1;
      printf("FAIL (%lu test(s))\n", fails.size());
      for (auto p : fails) {
        printf(" GPU %02d: Measured: %6.2f GB/s      Criteria: %6.2f GB/s\n", p.first, p.second, limit);
      }
    }
  }
  return hasFail;
}

int TestBidir(int modelId, bool verbose)
{
  TestConfig const& testConfig = TestConfigs[modelId];
  TransferBench::ConfigOptions cfg;


  int hasFail = 0;
  int numGpuDevices = TransferBench::GetNumExecutors(EXE_GPU_GFX);

  printf("Testing bidirectional host<->device copies%c", verbose ? '\n' : ' ');
  {
    double limit = testConfig.bidirDmaCopyLimit * SFACTOR;

    std::vector<std::pair<int, double>> fails;
    for (int gpuId = 0; gpuId < numGpuDevices; gpuId++) {
      if (!verbose)  printf(".");
      fflush(stdout);

      int memIndex = TransferBench::GetClosestCpuNumaToGpu(gpuId);
      if (memIndex == -1) {
        printf("[ERROR] Unable to detect closest CPU NUMA node to GPU %d\n", gpuId);
        exit(1);
      }

      std::vector<Transfer> transfers(2);
      Transfer& t0 = transfers[0];
      Transfer& t1 = transfers[1];

      t0.exeDevice   = {EXE_GPU_DMA, gpuId};
      t0.numBytes    = 256*1024*1024;
      t0.srcs        = {{MEM_GPU, gpuId}};
      t0.dsts        = {{MEM_CPU, memIndex}};
      t0.numSubExecs = 1;

      t1.exeDevice   = {EXE_GPU_DMA, gpuId};
      t1.numBytes    = 256*1024*1024;
      t1.srcs        = {{MEM_CPU, memIndex}};
      t1.dsts        = {{MEM_GPU, gpuId}};
      t1.numSubExecs = 1;

      TransferBench::TestResults results;
      if (TransferBench::RunTransfers(cfg, transfers, results)) {
        double measuredBw = (results.tfrResults[0].avgBandwidthGbPerSec +
                             results.tfrResults[1].avgBandwidthGbPerSec);
        if (measuredBw < limit) {
          fails.push_back(std::make_pair(gpuId, measuredBw));
        }
        if (verbose) printf("   GPU %02d: Measured %6.2f Limit %6.2f\n", gpuId, measuredBw, limit);
      } else {
        PrintErrors(results.errResults);
      }
    }

    if (fails.size() == 0) {
      printf("PASS\n");
    } else {
      hasFail = 1;
      printf("FAIL (%lu test(s))\n", fails.size());
      for (auto p : fails) {
        printf(" GPU %02d: Measured: %6.2f GB/s      Criteria: %6.2f GB/s\n", p.first, p.second, limit);
      }
    }
  }
  return hasFail;
}

int TestAllToAll(int modelId, bool verbose)
{
  TestConfig const& testConfig = TestConfigs[modelId];
  TransferBench::ConfigOptions cfg;
  cfg.gfx.unrollFactor = testConfig.a2aUnrollFactor;

  int numSubExecs = testConfig.a2aNumSubExecs;
  int hasFail = 0;
  int numGpuDevices = TransferBench::GetNumExecutors(EXE_GPU_GFX);

  printf("Testing all-to-all XGMI copies            %c", verbose ? '\n' : ' '); fflush(stdout);
  {
    double limit = testConfig.a2aCopyLimit * SFACTOR;

    std::vector<Transfer> transfers;
    for (int i = 0; i < numGpuDevices; i++) {
      for (int j = 0; j < numGpuDevices; j++) {
        if (i == j) continue;
        Transfer t;
        t.numBytes    = 256*1024*1024;
        t.numSubExecs = numSubExecs;
        t.exeDevice   = {EXE_GPU_GFX, i};
        t.srcs        = {{MEM_GPU_FINE, i}};
        t.dsts        = {{MEM_GPU_FINE, j}};
        transfers.push_back(t);
      }
    }
    std::vector<std::pair<std::pair<int,int>, double>> fails;
    TransferBench::TestResults results;
    if (TransferBench::RunTransfers(cfg, transfers, results)) {
      int transferIdx = 0;
      for (int i = 0; i < numGpuDevices; i++) {
        if (!verbose) printf("."); fflush(stdout);
        for (int j = 0; j < numGpuDevices; j++) {
          if (i == j) continue;
          double bw = results.tfrResults[transferIdx].avgBandwidthGbPerSec;
          if (bw < limit) {
            fails.push_back(std::make_pair(std::make_pair(i,j), bw));
          }
          if (verbose) printf("   GPU %02d to GPU %02d: : Measured %6.2f Limit %6.2f\n", i, j, bw, limit);
          transferIdx++;
        }
      }
    }
    if (fails.size() == 0) {
      printf("PASS\n");
    } else {
      hasFail = 1;
      printf("FAIL (%lu test(s))\n", fails.size());
      for (auto p : fails) {
        printf(" GPU %02d to GPU %02d: %6.2f GB/s      Criteria: %6.2f GB/s\n", p.first.first, p.first.second, p.second, limit);
      }
    }
  }
  return hasFail;
}

int TestHbmPerformance(int modelId, bool verbose)
{
  TestConfig const& testConfig = TestConfigs[modelId];

  int hasFail = 0;
  int numGpuDevices = TransferBench::GetNumExecutors(EXE_GPU_GFX);
  char testname[50];

  for (int testId = 0; testId < NUM_HBM_TESTS; testId++) {
    TransferBench::ConfigOptions cfg;
    cfg.general.numIterations = 1000;
    cfg.general.numWarmups    = 50;
    cfg.gfx.blockSize         = testConfig.hbmBlockSize[testId];
    cfg.gfx.unrollFactor      = testConfig.hbmUnrollFactor[testId];
    cfg.gfx.temporalMode      = testConfig.hbmTemporalMode[testId];

    sprintf(testname, "Testing HBM performance [%s]", HbmTestConfigs[testId].name.c_str());
    if (verbose) printf("[Blocksize: %d Unroll: %d TemporalMode: %d]\n", cfg.gfx.blockSize, cfg.gfx.unrollFactor, cfg.gfx.temporalMode);
    printf("%-42s%c", testname, verbose ? '\n' : ' ');
    fflush(stdout);

    int numInputs = HbmTestConfigs[testId].numInputs;
    int numOutputs = HbmTestConfigs[testId].numOutputs;

    double limit = testConfig.hbmLimit[testId] * SFACTOR;

    std::vector<std::pair<int, double>> fails;
    TransferBench::TestResults results;
    std::vector<Transfer> transfers;

    for (int gpuId = 0; gpuId < numGpuDevices; gpuId++) {
      Transfer t;
      t.numSubExecs = TransferBench::GetNumSubExecutors({EXE_GPU_GFX, gpuId});
      t.numBytes    = 16777216ULL * t.numSubExecs;
      t.exeDevice   = {EXE_GPU_GFX, gpuId};
      for (int i = 0; i < numInputs; i++) t.srcs.push_back({MEM_GPU, gpuId});
      for (int i = 0; i < numOutputs; i++) t.dsts.push_back({MEM_GPU, gpuId});
      transfers.push_back(t);
    }

    if (TransferBench::RunTransfers(cfg, transfers, results)) {
      for (int gpuId = 0; gpuId < numGpuDevices; gpuId++) {
        if (!verbose) printf(".");
        fflush(stdout);
        double measuredBw = results.tfrResults[gpuId].avgBandwidthGbPerSec;
        if (measuredBw < limit) {
          fails.push_back(std::make_pair(gpuId, measuredBw));
        }
        if (verbose) printf("   GPU %02d: Measured %6.2f Limit %6.2f\n", gpuId, measuredBw, limit);
      }
    } else {
      PrintErrors(results.errResults);
    }

    if (fails.size() == 0) {
      printf("PASS\n");
    } else {
      hasFail = 1;
      printf("FAIL (%lu test(s))\n", fails.size());
      for (auto p : fails) {
        printf(" GPU %02d: Measured: %6.2f GB/s      Criteria: %6.2f GB/s\n", p.first, p.second, limit);
      }
    }
  }
  return hasFail;
}

void HealthCheckPreset(EnvVars&           ev,
                       size_t      const  numBytesPerTransfer,
                       std::string const  presetName)
{
  // Check for supported platforms
#if defined(__NVCC__)
  printf("[WARN] healthcheck preset not supported on NVIDIA hardware\n");
  return;
#endif

  printf("Disclaimer:\n");
  printf("==================================================================\n");
  printf("NOTE: This is an experimental feature and may be subject to change\n");
  printf("      Failures do not necessarily indicate hardware issues, as other factors\n");
  printf("      such as simultaneous workloads may influence results\n");
  printf("\n");

  // Collect custom env vars for this preset
  int verbose = EnvVars::GetEnvVar("VERBOSE", 0);

  // Determine if this is a supported model
  int modelId = DetectModel();

  // Run through all tests
  int numFails = 0;
  numFails += TestHbmPerformance(modelId, verbose);
  numFails += TestUnidir(modelId, verbose);
  numFails += TestBidir(modelId, verbose);
  numFails += TestAllToAll(modelId, verbose);
  exit(numFails ? 1 : 0);
}