code: def generate_image(
      feature, outdir: str, save_as_numpy: bool = False
  ) -> str:
      """Generates random images and saves it to the outdir.
  
      Returns the path to the directory of saved files.
      """
      save_as_numpy = feature.get("save_as_numpy", save_as_numpy)
  
      try:
          from torchvision.io import write_png
      except ImportError:
          logger.error(
              " torchvision is not installed. "
              "In order to install all image feature dependencies run "
              "pip install ludwig[image]"
          )
          sys.exit(-1)
  
      # Read num_channels, width, height
      destination_folder = feature.get("destination_folder", outdir)
      if PREPROCESSING in feature:
          height = feature[PREPROCESSING].get("height", 28)
          width = feature[PREPROCESSING].get("width", 28)
          num_channels = feature[PREPROCESSING].get("num_channels", 1)
      else:
          encoder = _get_feature_encoder_or_decoder(feature)
          height = encoder.get("height", 28)
          width = encoder.get("width", 28)
          num_channels = encoder.get("num_channels", 1)
  
      if width <= 0 or height <= 0 or num_channels < 1:
          raise ValueError("Invalid arguments for generating images")
  
      # Create a Random Image
      img = torch.randint(
          0, 255, (num_channels, width, height), dtype=torch.uint8
      )
  
      # Generate a unique random filename
      image_filename = uuid.uuid4().hex[:10].upper() + ".png"
  
      # Save the image to disk either in a specified location/new folder
      if not os.path.exists(destination_folder):
          os.makedirs(destination_folder)
      image_dest_path = os.path.join(destination_folder, image_filename)
      try:
          # save_image(torch.from_numpy(img.astype("uint8")), image_dest_path)
          if save_as_numpy:
              with open(image_dest_path, "wb") as f:
                  np.save(f, img.detach().cpu().numpy())
          else:
              write_png(img, image_dest_path)
      except OSError as e:
          raise OSError(f"Unable to save images to disk: {e}")
  
      return image_dest_path
  
imports: import argparse
  import logging
  import os
  import random
  import string
  import sys
  import uuid
  from typing import Dict, List, Optional, Union
  import numpy
  import pandas
  import torch
  import torchaudio
  import yaml
  from packaging import version
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.constants import AUDIO, BAG, BINARY, CATEGORY, CATEGORY_DISTRIBUTION, DATE, DECODER, ENCODER, H3, IMAGE, INPUT_FEATURES, NAME, NUMBER, OUTPUT_FEATURES, PREPROCESSING, SEQUENCE, SET, TEXT, TIMESERIES, TYPE, VECTOR
  from ludwig.contrib import add_contrib_callback_args
  from ludwig.globals import LUDWIG_VERSION
  from ludwig.types import ModelConfigDict
  from ludwig.utils.data_utils import save_csv
  from ludwig.utils.h3_util import components_to_h3
  from ludwig.utils.misc_utils import get_from_registry
  from ludwig.utils.print_utils import print_ludwig
label_desc: Use image node_id 19 for calling a global function with example usage: generate_image(feature, outdir, save_as_numpy) and returns: image_dest_path