code: def test_lasso_predict_convert_dtype(train_dtype, test_dtype):
      X, y = make_regression(
          n_samples=50, n_features=10, n_informative=5, random_state=0
      )
      X = X.astype(train_dtype)
      y = y.astype(train_dtype)
      X_train, X_test, y_train, y_test = train_test_split(
          X, y, train_size=0.8, random_state=0
      )
  
      clf = cuLasso()
      clf.fit(X_train, y_train)
      clf.predict(X_test.astype(test_dtype))
  
file_path: cuml/python/cuml/tests/test_coordinate_descent.py
imports: from sklearn.model_selection import train_test_split
  from sklearn.datasets import make_regression
  from sklearn.linear_model import Lasso, ElasticNet
  from cuml.testing.utils import unit_param, quality_param, stress_param
  from cuml.metrics import r2_score
  from cuml.linear_model import ElasticNet
  from cuml import Lasso
  import pytest
  from cuml.internals.safe_imports import cpu_only_import
label_desc: Use image node_id 7 for calling a global function with example usage: test_lasso_predict_convert_dtype(train_dtype, test_dtype) without return types