class_docstr: Gaussian Conditional prior with mean and scale indexes
code: def _prepare_table(table: Tensor):
      # convert to tensor of floats
      return table.to(torch.float32)
  
imports: import math
  from typing import Any, List, Optional, Tuple
  import scipy.stats
  import torch
  import torch.nn
  from compressai.entropy_models import EntropyModel
  from compressai.ops import LowerBound
  from torch import Tensor
label_desc: Use image node_id 3 for calling the ContinuousIndexedGaussianConditional obj's underlying member method code with example usage: obj._prepare_table(table) and returns: table