class_docstr: A lookup table mapping bin indices to values.
  
  Parameters
  ----------
  bin_values
      Tensor of bin values with shape (num_bins, ).
class_docstr_tok: ["A","lookup","table","mapping","bin","indices","to","values",".","Parameters","--","--","--","--","--","bin_values","Tensor","of","bin","values","with","shape","(","num_bins",",",")","."]
code: def __init__(self, bin_values: torch.Tensor):
      super().__init__()
      self.register_buffer("bin_values", bin_values)
  
imports: import torch
  import torch.nn
  from gluonts.core.component import validated
label_desc: Use image node_id 1 to create a new LookupValues object from inherited base classes: nn with example: obj = LookupValues(bin_values)