code: def test_predict_leaf_gbtree(
      self, param: dict, dataset: tm.TestDataset
  ) -> None:
      # Unsupported for random forest
      if param.get(
          "num_parallel_tree", 1
      ) > 1 and dataset.name.endswith("-l1"):
          return
  
      param.update(
          {
              "booster": "gbtree",
              "tree_method": "hist",
              "device": "cuda:0",
          }
      )
      self.run_predict_leaf_booster(param, 10, dataset)
  
imports: import sys
  from copy import copy
  import numpy
  import pytest
  from hypothesis import assume, given, settings, strategies
  import xgboost
  from xgboost import testing
  from xgboost.compat import PANDAS_INSTALLED
  from test_predict import run_predict_leaf
  from test_predict import run_threaded_predict
label_desc: Use image node_id 15 for calling the TestGPUPredict obj's underlying member method code with example usage: obj.test_predict_leaf_gbtree(param, dataset) without return types