code: def get_minimum_resources(
      self, is_gpu_available=False
  ) -> Dict[str, int]:
      return {
          "num_cpus": 1,
          "num_gpus": 0,  # allow FT_Transformer to be trained on CPU only
      }
  
file_path: autogluon/tabular/src/autogluon/tabular/models/automm/ft_transformer.py
imports: import logging
  from typing import Dict
  from autogluon.common.features.types import R_CATEGORY, R_FLOAT, R_INT, S_TEXT_NGRAM, S_TEXT_SPECIAL
  from .automm_model import MultiModalPredictorModel
label_desc: Use image node_id 5 for calling the FTTransformerModel obj's underlying member method code with example usage: obj.get_minimum_resources(is_gpu_available) and returns: dict