code: def constant_(types, args=(), kwargs=None, pg=None):
      r"""
      Fills the input ShardedTensor with the value \text{val}val.
      Args:
          tensor: tensor sharded across devices
          val: the value to fill the tensor with
      """
      validate_param(kwargs, "kwargs")
      sharded_tensor = kwargs["tensor"]
      validate_param(sharded_tensor, "tensor")
      val = kwargs["val"]
      validate_param(val, "val")
      for shard in sharded_tensor.local_shards():
          torch.nn.init.constant_(shard.tensor, val=val)
      return sharded_tensor
  
file_path: pytorch/torch/distributed/_shard/sharded_tensor/_ops/init.py
imports: import torch
  import torch.distributed._shard.sharded_tensor
  from torch.distributed._shard.sharded_tensor import _sharded_op_impl
label_desc: Use image node_id 5 for calling a global function with example usage: constant_(types, args, kwargs, pg) and returns: sharded_tensor