code: def main():
      parser = get_parser()
      args = parser.parse_args()
  
      print("Reading features")
      x = []
      with open(args.data, "r") as fp:
          for line in fp.readlines():
              _, feats_path = line.split()
              feats = np.load(feats_path)
              x.append(feats)
  
      x = np.vstack(x)
  
      print("Computing PCA")
      pca = PCA(n_components=args.dim)
      pca.fit(x)
      os.makedirs(args.output, exist_ok=True)
      pickle.dump(pca, open(f"{args.output}/pca_{args.dim}.pkl", "wb"))
  
file_path: espnet/egs2/ljspeech/tts1/pyscripts/feats/pca_cuml.py
imports: import argparse
  import os
  import os.path
  import pickle
  import numpy
  from cuml import PCA
label_desc: Use image node_id 2 for calling a global function with example usage: main() without return types