code: def repeat_kv(x: Tensor, n_rep: int) -> Tensor:
      bs, seqlen, n_kv_heads, head_dim = x.shape
      if n_rep == 1:
          return x
      # NOTE: this is different from x.repeat((1, 1, n_rep, 1))
      return x.repeat((1, 1, 1, n_rep)).reshape(
          bs, seqlen, n_kv_heads * n_rep, head_dim
      )
  
imports: from typing import Tuple, Union, Optional, Dict
  from tinygrad import Tensor, Variable, TinyJit, dtypes, nn, Device
  from tinygrad.helpers import getenv
label_desc: Use image node_id 4 for calling a global function with example usage: repeat_kv(x, n_rep) and returns: x, x