code: def predict(X, inv_cov, means, weights):
      xp = cupy.get_array_module(X)
      log_prob = estimate_log_prob(X, inv_cov, means)
      return (log_prob + xp.log(weights)).argmax(axis=1)
  
file_path: cupy/examples/gmm/gmm.py
imports: import argparse
  import contextlib
  import time
  import matplotlib.pyplot
  import numpy
  from scipy import stats
  import cupy
label_desc: Use image node_id 6 for calling a global function with example usage: predict(X, inv_cov, means, weights) and returns: unknown