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// Simple test for hipLaunchCooperativeKernelMultiDevice API.

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

#include "hip/hip_runtime.h"
#include "hip/hip_runtime_api.h"
#include <iostream>
#include <fstream>
#include <vector>
#include <thread>
#include <chrono>
#include "hip/hip_cooperative_groups.h"
#include "test_common.h"

using namespace std::chrono;

const static uint BufferSizeInDwords = 256 * 1024 * 1024;
const static uint numQueues = 4;
const static uint numIter = 100;
constexpr uint NumKernelArgs = 4;
constexpr uint MaxGPUs = 8;

#include <stdio.h>

__global__ void test_gws(uint* buf, uint bufSize, long* tmpBuf, long* result)
{
    extern __shared__ long tmp[];
    uint groups = gridDim.x;
    uint group_id = blockIdx.x;
    uint local_id = threadIdx.x;
    uint chunk = gridDim.x * blockDim.x;

    uint i = group_id * blockDim.x + local_id;
    long sum = 0;
    while (i < bufSize) {
      sum += buf[i];
      i += chunk;
    }
    tmp[local_id] = sum;
    __syncthreads();
    i = 0;
    if (local_id == 0) {
        sum = 0;
        while (i < blockDim.x) {
          sum += tmp[i];
          i++;
        }
        tmpBuf[group_id] = sum;
    }

    // wait
    cooperative_groups::this_grid().sync();

    if (((blockIdx.x * blockDim.x) + threadIdx.x) == 0) {
        for (uint i = 1; i < groups; ++i) {
          sum += tmpBuf[i];
       }
       //*result = sum;
       result[1 + cooperative_groups::this_multi_grid().grid_rank()] = sum;
    }
    cooperative_groups::this_multi_grid().sync();
    if (cooperative_groups::this_multi_grid().grid_rank() == 0) {
      sum = 0;
      for (uint i = 1; i <= cooperative_groups::this_multi_grid().num_grids(); ++i) {
        sum += result[i];
      }
      *result = sum;
    }
}

int main() {
  float *A, *B;
  uint* dA[MaxGPUs];
  long* dB[MaxGPUs];
  long* dC;
  hipStream_t stream[MaxGPUs];

  uint32_t* init = new uint32_t[BufferSizeInDwords];
  for (uint32_t i = 0; i < BufferSizeInDwords; ++i) {
    init[i] = i;
  }

  int nGpu = 0;
  HIPCHECK(hipGetDeviceCount(&nGpu));
  size_t copySizeInDwords = BufferSizeInDwords / nGpu;
  hipDeviceProp_t deviceProp[MaxGPUs];

  for (int i = 0; i < nGpu; i++) {
    HIPCHECK(hipSetDevice(i));

    // Calculate the device occupancy to know how many blocks can be run concurrently
    hipGetDeviceProperties(&deviceProp[i], 0);
    if (!deviceProp[i].cooperativeMultiDeviceLaunch) {
      printf("Device doesn't support cooperative launch!");
      passed();
      return 0;
    }
    size_t SIZE = copySizeInDwords * sizeof(uint);

    HIPCHECK(hipMalloc((void**)&dA[i], SIZE));
    HIPCHECK(hipMalloc((void**)&dB[i], 64 * deviceProp[i].multiProcessorCount * sizeof(long)));
    if (i == 0) {
      HIPCHECK(hipHostMalloc((void**)&dC, (nGpu + 1) * sizeof(long)));
    }
    HIPCHECK(hipMemcpy(dA[i], &init[i * copySizeInDwords] , SIZE, hipMemcpyHostToDevice));
    HIPCHECK(hipStreamCreate(&stream[i]));
    hipDeviceSynchronize();
  }

  dim3 dimBlock;
  dim3 dimGrid;
  dimGrid.x = 1;
  dimGrid.y = 1;
  dimGrid.z = 1;
  dimBlock.x = 64;
  dimBlock.y = 1;
  dimBlock.z = 1;

  int numBlocks = 0;
  uint workgroups[3] = {64, 128, 256};

  hipLaunchParams* launchParamsList = new hipLaunchParams[nGpu];
  std::time_t end_time;
  double time = 0;
  for (uint set = 0; set < 3; ++set) {
    void* args[MaxGPUs * NumKernelArgs];
    std::cout << "---------- Test#" << set << ", size: "<< BufferSizeInDwords <<
      " dwords ---------------\n";
    for (int i = 0; i < nGpu; i++) {
      HIPCHECK(hipSetDevice(i));
      dimBlock.x = workgroups[set];
      HIPCHECK(hipOccupancyMaxActiveBlocksPerMultiprocessor(&numBlocks,
      test_gws, dimBlock.x * dimBlock.y * dimBlock.z, dimBlock.x * sizeof(long)));

      std::cout << "GPU(" << i << ") Block size: " << dimBlock.x <<
        " Num blocks per CU: " << numBlocks << "\n";

      dimGrid.x = deviceProp[i].multiProcessorCount * std::min(numBlocks, 32);

      args[i * NumKernelArgs]     = (void*)&dA[i];
      args[i * NumKernelArgs + 1] = (void*)&copySizeInDwords;
      args[i * NumKernelArgs + 2] = (void*)&dB[i];
      args[i * NumKernelArgs + 3] = (void*)&dC;

      launchParamsList[i].func = reinterpret_cast<void*>(test_gws);
      launchParamsList[i].gridDim = dimGrid;
      launchParamsList[i].blockDim = dimBlock;
      launchParamsList[i].sharedMem = dimBlock.x * sizeof(long);
      launchParamsList[i].stream = stream[i];
      launchParamsList[i].args = &args[i * NumKernelArgs];
    }

    system_clock::time_point start = system_clock::now();
    hipLaunchCooperativeKernelMultiDevice(launchParamsList, nGpu, 0);
    for (int i = 0; i < nGpu; i++) {
      hipStreamSynchronize(stream[i]);
    }
    system_clock::time_point end = system_clock::now();
    std::chrono::duration<double> elapsed_seconds = end - start;
    end_time = std::chrono::system_clock::to_time_t(end);

    time += elapsed_seconds.count();

    size_t processedDwords = copySizeInDwords * nGpu;
    if (*dC != (((long)(processedDwords) * (processedDwords - 1)) / 2)) {
      std::cout << "Data validation failed ("<< *dC << " != " <<
        (((long)(BufferSizeInDwords) * (BufferSizeInDwords - 1)) / 2) <<
        ") for grid size = " << dimGrid.x << " and block size = " << dimBlock.x << "\n";
      std::cout << "Test failed! \n";
    }
  }

  delete [] launchParamsList;

  std::cout << "finished computation at " << std::ctime(&end_time) <<
    "elapsed time: " << time << "s\n";

  hipSetDevice(0);
  hipFree(dC);
  for (int i = 0; i < nGpu; i++) {
    hipFree(dA[i]);
    hipFree(dB[i]);
    HIPCHECK(hipStreamDestroy(stream[i]));
  }
  delete [] init;
  passed();
  return 0;
}