Add Hyperparameter evolution Tuner() class (#4599)

tests/test_cuda.py

@@ -1,6 +1,5 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 import contextlib
-import subprocess
 from pathlib import Path
 
 import pytest
@@ -81,18 +80,23 @@ def test_predict_sam():
 
 
 @pytest.mark.skipif(not CUDA_IS_AVAILABLE, reason='CUDA is not available')
-def test_model_tune():
-    subprocess.run('pip install ray[tune]'.split(), check=True)
+def test_model_ray_tune():
     with contextlib.suppress(RuntimeError):  # RuntimeError may be caused by out-of-memory
-        YOLO('yolov8n-cls.yaml').tune(data='imagenet10',
+        YOLO('yolov8n-cls.yaml').tune(use_ray=True,
+                                      data='imagenet10',
                                       grace_period=1,
-                                      max_samples=1,
+                                      iterations=1,
                                       imgsz=32,
                                       epochs=1,
                                       plots=False,
                                       device='cpu')
 
 
+@pytest.mark.skipif(not CUDA_IS_AVAILABLE, reason='CUDA is not available')
+def test_model_tune():
+    YOLO('yolov8n.pt').tune(data='coco8.yaml', imgsz=32, epochs=1, iterations=1, device='cpu')
+
+
 @pytest.mark.skipif(not CUDA_IS_AVAILABLE, reason='CUDA is not available')
 def test_pycocotools():
     from ultralytics.models.yolo.detect import DetectionValidator