xgboost/tests/python-gpu/test_gpu_data_iterator.py
Jiaming Yuan 8b3ecfca25
Mitigate flaky tests. (#7749)
* Skip non-increasing test with external memory when subsample is used.
* Increase bin numbers for boost from prediction test. This mitigates the effect of
  non-deterministic partitioning.
2022-03-28 21:20:50 +08:00

40 lines
1.1 KiB
Python

import numpy as np
import xgboost as xgb
from hypothesis import given, strategies, settings
import pytest
import sys
sys.path.append("tests/python")
from test_data_iterator import SingleBatch, make_batches
from test_data_iterator import test_single_batch as cpu_single_batch
from test_data_iterator import run_data_iterator
from testing import IteratorForTest, no_cupy
def test_gpu_single_batch() -> None:
cpu_single_batch("gpu_hist")
@pytest.mark.skipif(**no_cupy())
@given(
strategies.integers(0, 1024),
strategies.integers(1, 7),
strategies.integers(0, 13),
strategies.booleans(),
)
@settings(deadline=None, print_blob=True)
def test_gpu_data_iterator(
n_samples_per_batch: int, n_features: int, n_batches: int, subsample: bool
) -> None:
run_data_iterator(
n_samples_per_batch, n_features, n_batches, "gpu_hist", subsample, True
)
run_data_iterator(
n_samples_per_batch, n_features, n_batches, "gpu_hist", subsample, False
)
def test_cpu_data_iterator() -> None:
"""Make sure CPU algorithm can handle GPU inputs"""
run_data_iterator(1024, 2, 3, "approx", False, True)