code: def transform(self, model, node: Layer):
      inp_layer = node.get_input_node()  # type: ignore
      if not isinstance(inp_layer, Layer):
          raise RuntimeError(
              f"Softmax layer {node.name} does not have an input layer"
          )
  
      input_bw: int = inp_layer.get_attr("result_t").precision.width  # type: ignore
      table_bw: int = node.get_attr("inv_table_t").precision.width  # type: ignore
      table_size = int(node.get_attr("table_size"))  # type: ignore
  
      backend = model.config.config["Backend"]
  
      # Somehow, Intel want one extra bits for the table.
      # I don't know why but if not simulation will crash with segmentation fault.
      backend_limitation = -1 if backend == "Quartus" else 0
  
      if (
          2 ** (min(input_bw, table_bw) + backend_limitation)
          < table_size
      ):
          # If table size is too large w.r.t. input bitwidth and table bitwidth,
          # reduce table size to avoid undefined behavior when cutting indices from,
          # fixed point number.
          node.set_attr(
              "table_size",
              str(2 ** (min(input_bw, table_bw) + backend_limitation)),
          )
          if 2**input_bw < table_size:
              # The warning message does not have to be looking like this, but you are asking
              # 125 characters long line.
              warnings.warn(
                  (
                      f"Softmax layer {node.name} table size is too large for input"
                      f"bitwidth {input_bw}. Setting table size to {2**input_bw}."
                      "To avoid this warning, please increase input bitwidth or"
                      "decrease table size."
                  ),
                  stacklevel=1,
              )
          if 2**table_bw < table_size:
              warnings.warn(
                  (
                      f"Softmax layer {node.name} table size is too large for input"
                      f"bitwidth {input_bw}. Setting table size to {2**input_bw}."
                      "To avoid this warning, please increase input bitwidth or"
                      "decrease table size."
                  ),
                  stacklevel=1,
              )
          if backend == "Quartus":
              warnings.warn(
                  (
                      "Quartus backend's table size is half of 2^min(input_bw-1,table_bw-1)"
                      " instead of 2^min(input_bw,table_bw)."
                  ),
                  stacklevel=1,
              )
          return False
  
imports: import warnings
  from hls4ml.model.layers import Layer, Softmax
  from hls4ml.model.optimizer import OptimizerPass
label_desc: Use image node_id 2 for calling the FixSoftmaxTableSize obj's underlying member method code with example usage: obj.transform(model, node) and returns: False