code: def relu6(a: TensorLikeType, inplace: bool = False) -> TensorLikeType:
      """
      Reference implementation of torch.nn.functional.relu6
      """
      if inplace:
          raise NotImplementedError
  
      # See https://github.com/pytorch/pytorch/pull/81142#discussion_r918220126
      # It may be better to use clamp here, but we use hardtanh to replicate
      # the behavior of the existing implementation
      return torch.nn.functional.hardtanh(a, 0, 6)
  
imports: import math
  from functools import wraps
  from typing import Callable, Optional, Union
  import torch
  import torch._prims
  import torch._prims_common
  import torch._refs
  from torch._decomp import register_decomposition
  from torch._prims_common import ELEMENTWISE_TYPE_PROMOTION_KIND, NumberType, ShapeType, TensorLike, TensorLikeType
  from torch._prims_common.wrappers import elementwise_type_promotion_wrapper, elementwise_unary_scalar_wrapper, out_wrapper
  from torch._refs import _make_inplace
label_desc: Use image node_id 39 for calling a global function with example usage: relu6(a, inplace) and returns: torch