code: def gen_float_comparison_tensors(N, M):
      return (
          torch.rand(N, M),
          torch.rand(N, M),
          torch.empty((N, M), dtype=torch.bool),
      )
  
imports: import argparse
  import operator
  import time
  import matplotlib.pyplot
  import numpy
  import pandas
  import seaborn
  import torch
  import torch._C._te
label_desc: Use image node_id 6 for calling a global function with example usage: gen_float_comparison_tensors(N, M) and returns: torch,  torch,  torch