42 lines
1.7 KiB
Python
42 lines
1.7 KiB
Python
import numpy as np
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import sys
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import unittest
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sys.path.append("tests/python")
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import xgboost as xgb
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from regression_test_utilities import run_suite, parameter_combinations, \
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assert_results_non_increasing
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def assert_gpu_results(cpu_results, gpu_results):
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for cpu_res, gpu_res in zip(cpu_results, gpu_results):
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# Check final eval result roughly equivalent
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assert np.allclose(cpu_res["eval"][-1], gpu_res["eval"][-1], 1e-3, 1e-2)
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datasets = ["Boston", "Cancer", "Digits", "Sparse regression"]
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class TestGPU(unittest.TestCase):
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def test_gpu_exact(self):
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variable_param = {'max_depth': [2, 6, 15], }
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for param in parameter_combinations(variable_param):
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param['tree_method'] = 'gpu_exact'
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gpu_results = run_suite(param, select_datasets=datasets)
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assert_results_non_increasing(gpu_results, 1e-2)
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param['tree_method'] = 'exact'
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cpu_results = run_suite(param, select_datasets=datasets)
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assert_gpu_results(cpu_results, gpu_results)
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def test_gpu_hist(self):
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variable_param = {'n_gpus': [1, -1], 'max_depth': [2, 6], 'max_leaves': [255, 4],
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'max_bin': [2, 16, 1024],
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'grow_policy': ['depthwise', 'lossguide']}
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for param in parameter_combinations(variable_param):
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param['tree_method'] = 'gpu_hist'
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gpu_results = run_suite(param, select_datasets=datasets)
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assert_results_non_increasing(gpu_results, 1e-2)
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param['tree_method'] = 'hist'
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cpu_results = run_suite(param, select_datasets=datasets)
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assert_gpu_results(cpu_results, gpu_results)
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