(savedir, hparams, z_val)
Save arrays as npy files.

  Args:
    savedir: Directory where arrays are saved.
    hparams: Hyperparameters.
    z_val: Array to save.
Save arrays as npy files.
Save arrays as npy files .
def save_arrays(savedir, hparams, z_val):
  """Save arrays as npy files.

  Args:
    savedir: Directory where arrays are saved.
    hparams: Hyperparameters.
    z_val: Array to save.
  """
  z_save_val = np.array(z_val).reshape(-1, hparams.num_latent)

  name = FLAGS.tfrecord_path.split("/")[-1].split(".tfrecord")[0]
  save_name = os.path.join(savedir, "{}_%s.npy".format(name))
  with tf.gfile.Open(save_name % "z", "w") as f:
    np.save(f, z_save_val)

  tf.logging.info("Z_Save:{}".format(z_save_val.shape))
  tf.logging.info("Successfully saved to {}".format(save_name % ""))
def save_arrays ( savedir , hparams , z_val ) : z_save_val = np . array ( z_val ) . reshape ( - 1 , hparams . num_latent ) name = FLAGS . tfrecord_path . split ( "/" ) [ - 1 ] . split ( ".tfrecord" ) [ 0 ] save_name = os . path . join ( savedir , "{}_%s.npy" . format ( name ) ) with tf . gfile . Open ( save_name % "z" , "w" ) as f : np . save ( f , z_save_val ) tf . logging . info ( "Z_Save:{}" . format ( z_save_val . shape ) ) tf . logging . info ( "Successfully saved to {}" . format ( save_name % "" ) )