code: def seeded_dropout(x, p, seed):
      output = torch.empty_like(x)
      assert x.is_contiguous()
      n_elements = x.numel()
      grid = lambda meta: (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
      _seeded_dropout[grid](
          x, output, n_elements, p, seed, BLOCK_SIZE=1024
      )
      return output
  
imports: import tabulate
  import torch
  import triton
  import triton.language
label_desc: Use image node_id 4 for calling a global function with example usage: seeded_dropout(x, p, seed) and returns: output