code: def dropout(x, x_keep, p):
      output = torch.empty_like(x)
      assert x.is_contiguous()
      n_elements = x.numel()
      grid = lambda meta: (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
      _dropout[grid](x, x_keep, output, n_elements, p, BLOCK_SIZE=1024)
      return output
  
imports: import tabulate
  import torch
  import triton
  import triton.language
label_desc: Use image node_id 2 for calling a global function with example usage: dropout(x, x_keep, p) and returns: output