code: def test_gpu_evaluation_strategy_predict():
      train_data, test_data = get_synthetic_data()
      strategy = CuMLClassificationStrategy(
          operation_type="svc",
          params=dict(
              kernel="rbf",
              C=10,
              gamma=1,
              cache_size=2000,
              probability=True,
          ),
      )
  
      operation = strategy.fit(train_data)
      prediction = strategy.predict(operation, test_data)
  
      assert isinstance(prediction, OutputData)
  
file_path: FEDOT/test/test_gpu_strategy.py
imports: from typing import Tuple
  from cuml.svm import SVC
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.operations.evaluation.gpu.classification import CuMLClassificationStrategy
  from fedot.core.operations.evaluation.gpu.common import CuMLEvaluationStrategy
  from test.integration.models.test_split_train_test import get_synthetic_input_data
label_desc: Use image node_id 3 for calling a global function with example usage: test_gpu_evaluation_strategy_predict() without return types