TheRock/rocm-systems/projects/rocshmem/examples/LL_MoE/MoE_example.cpp

/******************************************************************************
 * Copyright (c) Advanced Micro Devices, Inc. All rights reserved.
 *
 * SPDX-License-Identifier: MIT
 *
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 * of this software and associated documentation files (the "Software"), to
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 *
 * The above copyright notice and this permission notice shall be included in
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 *
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 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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#include "LL_MoE.hpp"
#include <unistd.h>

using dtype = short;

/******************************************************************************
 * This example intentionally MIMICS the communication pattern used by
 * DeepEP low-latency (LL) mode MoE kernels.
 *
 * In particular, it mirrors the structure of DeepEP's:
 *   - dispatch kernel  (token -> expert / rank)
 *   - combine kernel   (expert -> token / rank)
 *
 * NOTE: It is NOT a performance model; it is a communication-pattern model.
 *****************************************************************************/

void print_usage(const char* prog_name)
{
  std::cerr
        << "Usage: " << prog_name << " [options]\n"
        << "Options:\n"
        << "  -u                 Print this usage message and exit\n"
        << "  -n <num_tokens>    Number of tokens (default: 128)\n"
        << "  -h <hidden>        Hidden size (default: 7168)\n"
        << "  -k <num_topk>      Top-k value (default: 8)\n"
        << "  -e <num_experts>   Number of experts (default: 288)\n"
        << "  -i <iterations>    Number of iterations (default: 1)\n"
        << "  -m <r|d>           Buffer Init mode:\n"
        << "                     r = random (default)\n"
        << "                     d = deterministic\n";
}

int main (int argc, char **argv)
{
  int rank, num_ranks;

  // DeepEP_LL parameters with default values
  int num_tokens  = 128;
  int hidden      = 7168;
  int num_topk    = 8;
  int num_experts = 288;

  int num_iterations = 10;

  InitMode init_mode = InitMode::Random;

  // parse command line arguments
  int opt;
  while ((opt = getopt(argc, argv, "n:h:k:e:i:m:u")) != -1) {
    switch (opt) {
      case 'n':
        num_tokens = atoi(optarg);
        break;
      case 'h':
        hidden = atoi(optarg);
        break;
      case 'k':
        num_topk = atoi(optarg);
        break;
      case 'e':
        num_experts = atoi(optarg);
        break;
      case 'i':
        num_iterations = atoi(optarg);
        break;
      case 'u':
        print_usage(argv[0]);
        return EXIT_SUCCESS;
      case 'm':
        if (optarg[0] == 'r' && optarg[1] == '\0') {
          init_mode = InitMode::Random;
        } else if (optarg[0] == 'd' && optarg[1] == '\0') {
          init_mode = InitMode::Deterministic;
        } else {
          std::cerr << "Invalid value for -m: " << optarg << std::endl;
          print_usage(argv[0]);
          return EXIT_FAILURE;
        }
        break;
      case '?':
        if (optopt == 'n' || optopt == 'h' || optopt == 'k' ||
            optopt == 'e' || optopt == 'i' || optopt == 'm') {
          std::cerr << "Option -" << static_cast<char>(optopt)
                    << " requires an argument." << std::endl;
        } else {
          std::cerr << "Unknown option -"
                  << static_cast<char>(optopt) << std::endl;
        }
        print_usage(argv[0]);
        return EXIT_FAILURE;
    }
  }

  LLMoE<dtype> ll_moe(num_tokens, hidden, num_topk, num_experts, init_mode);

  rank = ll_moe.get_rank();
  num_ranks = ll_moe.get_num_ranks();

  std::cout << "rank: " << rank << ", n_RANKs: " << num_ranks << std::endl;

  // Run dispatch and combine multiple times
  for (int iter = 0; iter < num_iterations; iter++) {
      ll_moe.ll_dispatch();
      ll_moe.ll_combine();
  }

  // Print all the iterations were successful
  if (rank == 0) {
      std::cout << "All " << num_iterations
                << " iterations completed successfully!" << std::endl;
  }

  return 0;

}