code: def smooth_amin(
      X: Tensor,
      dim: Union[int, Tuple[int, ...]] = -1,
      keepdim: bool = False,
      tau: Union[float, Tensor] = 1.0,
  ) -> Tensor:
      """A smooth approximation to `min(X, dim=dim)`, similar to `smooth_amax`."""
      return -smooth_amax(X=-X, dim=dim, keepdim=keepdim, tau=tau)
  
imports: from __future__ import annotations
  import math
  from typing import Callable, Tuple, Union
  import torch
  from botorch.exceptions import UnsupportedError
  from botorch.utils.constants import get_constants_like
  from torch import finfo, Tensor
  from torch.nn.functional import softplus
label_desc: Use image node_id 18 for calling a global function with example usage: smooth_amin(X, dim, keepdim, tau) and returns: unknown