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import cupy as cp
import numpy as np
import pytest
import xgboost as xgb
# Test for integer overflow or out of memory exceptions
def test_large_input():
available_bytes, _ = cp.cuda.runtime.memGetInfo()
# 15 GB
required_bytes = 1.5e10
if available_bytes < required_bytes:
pytest.skip("Not enough memory on this device")
n = 1000
m = ((1 << 31) + n - 1) // n
assert np.log2(m * n) > 31
X = cp.ones((m, n), dtype=np.float32)
y = cp.ones(m)
w = cp.ones(m)
dmat = xgb.QuantileDMatrix(X, y, weight=w)
booster = xgb.train({"tree_method": "gpu_hist", "max_depth": 1}, dmat, 1)
del y
booster.inplace_predict(X)
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