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Use quantised gradients in gpu_hist histograms (#8246)

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This commit is contained in:
Rory Mitchell
2022-09-26 17:35:35 +02:00
committed by GitHub
parent 4056974e37
commit 8f77677193
14 changed files with 394 additions and 336 deletions
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19
tests/cpp/categorical_helpers.h
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@@ -22,23 +22,4 @@ inline std::vector<float> OneHotEncodeFeature(std::vector<float> x,
return ret;
}
template <typename GradientSumT>
void ValidateCategoricalHistogram(size_t n_categories,
common::Span<GradientSumT> onehot,
common::Span<GradientSumT> cat) {
auto cat_sum = std::accumulate(cat.cbegin(), cat.cend(), GradientPairPrecise{});
for (size_t c = 0; c < n_categories; ++c) {
auto zero = onehot[c * 2];
auto one = onehot[c * 2 + 1];
auto chosen = cat[c];
auto not_chosen = cat_sum - chosen;
ASSERT_LE(RelError(zero.GetGrad(), not_chosen.GetGrad()), kRtEps);
ASSERT_LE(RelError(zero.GetHess(), not_chosen.GetHess()), kRtEps);
ASSERT_LE(RelError(one.GetGrad(), chosen.GetGrad()), kRtEps);
ASSERT_LE(RelError(one.GetHess(), chosen.GetHess()), kRtEps);
}
}
} // namespace xgboost