//===----------------------------------------------------------------------===//
//
// Part of CUDASTF in CUDA C++ Core Libraries,
// under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
// SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//

#include <cuda/experimental/__stf/stream/interfaces/slice_reduction_ops.cuh>
#include <cuda/experimental/__stf/stream/stream_ctx.cuh>

using namespace cuda::experimental::stf;

__global__ void add(int* ptr)
{
  *ptr = *ptr + 1;
}

int main()
{
  stream_ctx ctx;

  auto redux_op = std::make_shared<slice_reduction_op_sum<int>>();

  int a = 17;

  auto handle = ctx.logical_data(make_slice(&a, 1));

  int ndevs;
  cuda_safe_call(cudaGetDeviceCount(&ndevs));

  int K = 1024;
  for (int i = 0; i < K; i++)
  {
    // Increment the variable by 1
    ctx.task(exec_place::device(i % ndevs), handle.relaxed(redux_op))->*[](auto stream, auto s) {
      add<<<1, 1, 0, stream>>>(s.data_handle());
    };
  }

  // Total value should be initial value + K
  ctx.task(exec_place::host(), handle.read())->*[&](auto stream, auto s) {
    cuda_safe_call(cudaStreamSynchronize(stream));
    EXPECT(s(0) == 17 + K);
    // printf("VALUE %d expected %d\n", s(0), 17 + K);
  };

  ctx.finalize();
}