/*
Copyright (c) 2020 - 2021 Advanced Micro Devices, Inc. All rights reserved.

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all copies or substantial portions of the Software.

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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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*/


/* HIT_START
 * BUILD: %t %s ../../test_common.cpp NVCC_OPTIONS --std=c++11 -rdc=true -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_80,code=sm_80
 * TEST: %t
 * HIT_END
 */

#include "test_common.h"
#include "hip/hip_cooperative_groups.h"
#include <cmath>
#include <cstdlib>
#include <climits>

#define ASSERT_EQUAL(lhs, rhs) assert(lhs == rhs)
#define ASSERT_LE(lhs, rhs) assert(lhs <= rhs)
#define ASSERT_GE(lhs, rhs) assert(lhs >= rhs)

constexpr int MaxGPUs = 8;
int nGpu = 0;

using namespace cooperative_groups;

static __global__
void kernel_cg_multi_grid_group_type_via_public_api(int *sizeTestD,
                                                    int* gridRankTestD,
                                                    int *thdRankTestD,
                                                    int *isValidTestD,
                                                    int *syncTestD,
                                                    int *syncResultD)
{
  multi_grid_group mg = this_multi_grid();
  int gIdx = (blockIdx.x * blockDim.x) + threadIdx.x;

  // Test group_size api
  sizeTestD[gIdx] = group_size(mg);

  // Test thread_rank api
  gridRankTestD[gIdx] = this_multi_grid().grid_rank();
  thdRankTestD[gIdx] = thread_rank(mg);

  // Test is_valid api
  isValidTestD[gIdx] = mg.is_valid();

  // Test sync api
  //
  // Eech thread assign 1 to their respective location
  syncTestD[gIdx] = 1;
  // Grid level sync
  sync(this_grid());
  // Thread 0 from work-group 0 of current grid (gpu) does grid level reduction
  if (blockIdx.x == 0 && threadIdx.x == 0) {
    for (int i = 1; i < gridDim.x * blockDim.x; ++i) {
      syncTestD[0] += syncTestD[i];
    }
    syncResultD[this_multi_grid().grid_rank() + 1] = syncTestD[0];
  }
  // multi-grid level sync via public api
  sync(mg);
  // grid (gpu) 0 does final reduction across all grids (gpus)
  if (this_multi_grid().grid_rank() == 0 && blockIdx.x == 0 && threadIdx.x == 0) {
    syncResultD[0] = 0;
    for (int i = 1; i <= this_multi_grid().num_grids(); ++i) {
      syncResultD[0] += syncResultD[i];
    }
  }
}

static void test_cg_multi_grid_group_type_via_public_api(int blockSize)
{
  // Create a stream each device
  hipStream_t stream[MaxGPUs];
  for (int i = 0; i < nGpu; i++) {
    ASSERT_EQUAL(hipSetDevice(i), hipSuccess);
    hipDeviceSynchronize();  // Make sure work is done on this device
    ASSERT_EQUAL(hipStreamCreate(&stream[i]), hipSuccess);
  }

  // Allocate host and device memory
  int nBytes = sizeof(int) * 2 * blockSize;
  int *sizeTestD[MaxGPUs], *sizeTestH[MaxGPUs];
  int *gridRankTestD[MaxGPUs], *gridRankTestH[MaxGPUs];
  int *thdRankTestD[MaxGPUs], *thdRankTestH[MaxGPUs];
  int *isValidTestD[MaxGPUs], *isValidTestH[MaxGPUs];
  int *syncTestD[MaxGPUs], *syncResultD;
  for (int i = 0; i < nGpu; i++) {
    ASSERT_EQUAL(hipSetDevice(i), hipSuccess);

    ASSERT_EQUAL(hipMalloc(&sizeTestD[i], nBytes), hipSuccess);
    ASSERT_EQUAL(hipMalloc(&gridRankTestD[i], nBytes), hipSuccess);
    ASSERT_EQUAL(hipMalloc(&thdRankTestD[i], nBytes), hipSuccess);
    ASSERT_EQUAL(hipMalloc(&isValidTestD[i], nBytes), hipSuccess);
    ASSERT_EQUAL(hipMalloc(&syncTestD[i], nBytes), hipSuccess);

    ASSERT_EQUAL(hipHostMalloc(&sizeTestH[i], nBytes), hipSuccess);
    ASSERT_EQUAL(hipHostMalloc(&gridRankTestH[i], nBytes), hipSuccess);
    ASSERT_EQUAL(hipHostMalloc(&thdRankTestH[i], nBytes), hipSuccess);
    ASSERT_EQUAL(hipHostMalloc(&isValidTestH[i], nBytes), hipSuccess);

    if (i == 0) {
      ASSERT_EQUAL(
        hipHostMalloc(&syncResultD, sizeof(int) * (nGpu + 1), hipHostMallocCoherent),
        hipSuccess);
    }
  }

  // Launch Kernel
  constexpr int NumKernelArgs = 6;
  hipLaunchParams* launchParamsList = new hipLaunchParams[nGpu];
  void* args[MaxGPUs * NumKernelArgs];
  for (int i = 0; i < nGpu; i++) {
    ASSERT_EQUAL(hipSetDevice(i), hipSuccess);

    args[i * NumKernelArgs    ] = &sizeTestD[i];
    args[i * NumKernelArgs + 1] = &gridRankTestD[i];
    args[i * NumKernelArgs + 2] = &thdRankTestD[i];
    args[i * NumKernelArgs + 3] = &isValidTestD[i];
    args[i * NumKernelArgs + 4] = &syncTestD[i];
    args[i * NumKernelArgs + 5] = &syncResultD;

    launchParamsList[i].func = reinterpret_cast<void*>(kernel_cg_multi_grid_group_type_via_public_api);
    launchParamsList[i].gridDim = 2;
    launchParamsList[i].blockDim = blockSize;
    launchParamsList[i].sharedMem = 0;
    launchParamsList[i].stream = stream[i];
    launchParamsList[i].args = &args[i * NumKernelArgs];
  }
  HIPCHECK(hipLaunchCooperativeKernelMultiDevice(launchParamsList, nGpu, 0));

  // Copy result from device to host
  for (int i = 0; i < nGpu; i++) {
    ASSERT_EQUAL(hipSetDevice(i), hipSuccess);

    ASSERT_EQUAL(hipMemcpy(sizeTestH[i], sizeTestD[i], nBytes, hipMemcpyDeviceToHost),
                 hipSuccess);
    ASSERT_EQUAL(hipMemcpy(gridRankTestH[i], gridRankTestD[i], nBytes, hipMemcpyDeviceToHost),
                 hipSuccess);
    ASSERT_EQUAL(hipMemcpy(thdRankTestH[i], thdRankTestD[i], nBytes, hipMemcpyDeviceToHost),
                 hipSuccess);
    ASSERT_EQUAL(hipMemcpy(isValidTestH[i], isValidTestD[i], nBytes, hipMemcpyDeviceToHost),
                 hipSuccess);
  }

  // Validate results
  int gridsSeen[MaxGPUs];
  for (int i = 0; i < nGpu; ++i) {
    for (int j = 0; j < 2 * blockSize; ++j) {
      ASSERT_EQUAL(sizeTestH[i][j], nGpu * 2 * blockSize);
      ASSERT_GE(gridRankTestH[i][j], 0);
      ASSERT_LE(gridRankTestH[i][j], nGpu-1);
      ASSERT_EQUAL(gridRankTestH[i][j], gridRankTestH[i][0]);
      int gridRank = gridRankTestH[i][j];
      ASSERT_EQUAL(thdRankTestH[i][j], (gridRank * 2 * blockSize) + j);
      ASSERT_EQUAL(isValidTestH[i][j], 1);
    }
    ASSERT_EQUAL(syncResultD[i+1],  2 * blockSize);

    // Validate uniqueness property of grid rank
    gridsSeen[i] = gridRankTestH[i][0];
    for (int k = 0; k < i; ++k) {
      if (gridsSeen[k] == gridsSeen[i]) {
        assert (false && "Grid rank in multi-gpu setup should be unique");
      }
    }
  }
  ASSERT_EQUAL(syncResultD[0], nGpu * 2 * blockSize);

  // Free host and device memory
  delete [] launchParamsList;
  for (int i = 0; i < nGpu; i++) {
    ASSERT_EQUAL(hipSetDevice(i), hipSuccess);

    ASSERT_EQUAL(hipFree(sizeTestD[i]), hipSuccess);
    ASSERT_EQUAL(hipFree(gridRankTestD[i]), hipSuccess);
    ASSERT_EQUAL(hipFree(thdRankTestD[i]), hipSuccess);
    ASSERT_EQUAL(hipFree(isValidTestD[i]), hipSuccess);
    ASSERT_EQUAL(hipFree(syncTestD[i]), hipSuccess);

    if (i == 0)
      ASSERT_EQUAL(hipHostFree(syncResultD), hipSuccess);

    ASSERT_EQUAL(hipHostFree(sizeTestH[i]), hipSuccess);
    ASSERT_EQUAL(hipHostFree(gridRankTestH[i]), hipSuccess);
    ASSERT_EQUAL(hipHostFree(thdRankTestH[i]), hipSuccess);
    ASSERT_EQUAL(hipHostFree(isValidTestH[i]), hipSuccess);
  }
}

int main()
{
  // Set `maxThreadsPerBlock` by taking minimum among all available devices
  ASSERT_EQUAL(hipGetDeviceCount(&nGpu), hipSuccess);
  if (nGpu > MaxGPUs) {
    nGpu = MaxGPUs;
  }
  int maxThreadsPerBlock = INT_MAX;
  for (int i = 0; i < nGpu; i++) {
    hipDeviceProp_t deviceProperties;
    ASSERT_EQUAL(hipGetDeviceProperties(&deviceProperties, i), hipSuccess);
    if (!deviceProperties.cooperativeMultiDeviceLaunch) {
      printf("Device doesn't support cooperative launch!");
      passed();
    }
    int curDeviceMaxThreadsPerBlock = deviceProperties.maxThreadsPerBlock;
    maxThreadsPerBlock = min(maxThreadsPerBlock, curDeviceMaxThreadsPerBlock);
  }

  // Test block sizes which are powers of 2
  int i = 0;
  while (true) {
    int blockSize = pow(2, i);
    if (blockSize > maxThreadsPerBlock)
      break;
    test_cg_multi_grid_group_type_via_public_api(blockSize);
    ++i;
  }

  // Test some random block sizes
  for(int j = 0; j < 10 ; ++j) {
    int blockSize = rand() % maxThreadsPerBlock;
    test_cg_multi_grid_group_type_via_public_api(blockSize);
  }

  passed();
}
