code: def model_parallel_cuda_manual_seed(seed):
      """Initialize model parallel cuda seed.
  
      This function should be called after the model parallel is
      initialized. Also, no torch.cuda.manual_seed should be called
      after this function. Basically, this is replacement for that
      function.
      Two set of RNG states are tracked:
          default state: This is for data parallelism and is the same among a
                         set of model parallel GPUs but different across
                         different model paralle groups. This is used for
                         example for dropout in the non-tensor-model-parallel regions.
          tensor-model-parallel state: This state is different among a set of model
                                parallel GPUs, but the same across data parallel
                                groups. This is used for example for dropout in
                                model parallel regions.
      """
      # 2718 is just for fun and any POSITIVE value will work.
      offset = seed + 2718
      tensor_model_parallel_seed = (
          offset + get_tensor_model_parallel_rank()
      )
      # Data parallel gets the original seed.
      data_parallel_seed = seed
  
      _CUDA_RNG_STATE_TRACKER.reset()
      # Set the default state.
      torch.cuda.manual_seed(data_parallel_seed)
      # and model parallel state.
      _CUDA_RNG_STATE_TRACKER.add(
          _MODEL_PARALLEL_RNG_TRACKER_NAME, tensor_model_parallel_seed
      )
  
imports: import contextlib
  import torch
  from torch import _C
  from torch.cuda import _lazy_call, device
  from torch.utils.checkpoint import detach_variable
  from apex.transformer.parallel_state import get_tensor_model_parallel_rank
  from apex.transformer.tensor_parallel.memory import allocate_mem_buff
  from apex.transformer.utils import split_tensor_into_1d_equal_chunks
  from apex.transformer.utils import gather_split_1d_tensor
label_desc: Use image node_id 5 for calling a global function with example usage: model_parallel_cuda_manual_seed(seed) without return types