code: def hardshrink(a: TensorLikeType, lambd: float = 0.5):
      # Formula for reference,
      # hardshrink(x) = x if x > lambd
      #               = x if x < -lambd
      #               = 0 otherwise
      return torch.where(torch.abs(a) <= lambd, 0, a)
  
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 16 for calling a global function with example usage: hardshrink(a, lambd) and returns: torch