code: def __init__(self, path, transform, resolution=8):
      self.env = lmdb.open(
          path,
          max_readers=32,
          readonly=True,
          lock=False,
          readahead=False,
          meminit=False,
      )
  
      if not self.env:
          raise IOError("Cannot open lmdb dataset", path)
  
      with self.env.begin(write=False) as txn:
          self.length = int(
              txn.get("length".encode("utf-8")).decode("utf-8")
          )
  
      self.resolution = resolution
      self.transform = transform
  
imports: import os
  import random
  import math
  import argparse
  import logging
  import os.path
  from io import BytesIO
  import lmdb
  import numpy
  from PIL import Image
  from tqdm import tqdm
  from mpl_toolkits.axes_grid1 import ImageGrid
  import matplotlib.pyplot
  import mxnet
  import mxnet.ndarray
  from mxnet import gluon, autograd
  from mxnet.gluon.data.vision import transforms
  from mxnet.gluon.data import DataLoader
  from model import StyledGenerator, Discriminator
label_desc: Use image node_id 1 to create a new MultiResolutionDataset object from inherited base classes: gluon.data with example: obj = MultiResolutionDataset(path, transform, resolution)