code: def test_all_load_weights(self):
      for variant in ["n", "s", "m", "l", "x"]:
          depth, width, ratio = get_variant_multiples(variant)
          TinyYolov8 = YOLOv8(w=width, r=ratio, d=depth, num_classes=80)
          state_dict = safe_load(
              fetch(
                  f"https://gitlab.com/r3sist/yolov8_weights/-/raw/master/yolov8{variant}.safetensors"
              )
          )
          load_state_dict(TinyYolov8, state_dict)
          print(f"successfully loaded weights for yolov{variant}")
  
file_path: tinygrad/test/external/external_test_yolov8.py
imports: import numpy
  from examples.yolov8 import YOLOv8, get_variant_multiples, preprocess, postprocess, label_predictions
  import unittest
  import io, cv2
  import onnxruntime
  import ultralytics
  from tinygrad.nn.state import safe_load, load_state_dict
  from tinygrad.helpers import fetch
label_desc: Use image node_id 1 for calling the TestYOLOv8 obj's underlying member method code with example usage: obj.test_all_load_weights() without return types