code: def test_encode_jpeg(img_path):
      img = read_image(img_path)
  
      pil_img = F.to_pil_image(img)
      buf = io.BytesIO()
      pil_img.save(buf, format="JPEG", quality=75)
  
      encoded_jpeg_pil = torch.frombuffer(
          buf.getvalue(), dtype=torch.uint8
      )
  
      for src_img in [img, img.contiguous()]:
          encoded_jpeg_torch = encode_jpeg(src_img, quality=75)
          assert_equal(encoded_jpeg_torch, encoded_jpeg_pil)
  
imports: import glob
  import io
  import os
  import sys
  from pathlib import Path
  import numpy
  import pytest
  import torch
  import torchvision.transforms.functional
  from common_utils import assert_equal, needs_cuda
  from PIL import __version__, Image
  from torchvision.io.image import _read_png_16, decode_image, decode_jpeg, decode_png, encode_jpeg, encode_png, ImageReadMode, read_file, read_image, write_file, write_jpeg, write_png
label_desc: Use image node_id 26 for calling a global function with example usage: test_encode_jpeg(img_path) without return types