INNER CODE UNIT · Python

size

huggingface/large_language_model_training_playbook · throughput/all_reduce_bench.py:37

    size = M * N * 4 # 4 is fp32
    n = dist.get_world_size()
    busbw = (size / duration) * (2 * (n - 1) / n) * 8
    printflock(f"{id}:\n",
               f"duration: {duration:.4f} sec\n",
               f"algo throughput: {tput:.4f} bps, {tput/1e9:.4f} Gbps\n",
               f"busbw: {busbw / 1e9:.4f}  Gbps"
    )

def run(local_rank):
    hostname = socket.gethostname()
    id = f"{hostname}:{local_rank}"
    global_rank = dist.get_rank()

    printflock(f"{id} data size: {M*N*4/1e9} GB")
    mat = torch.rand(N, M, dtype=torch.float32).cuda(local_rank)

    for i in range(TRIALS):

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