Validate out of range categorical value. (#7576)

* Use float in CPU categorical set to preserve the input value.
* Check out of range values.
This commit is contained in:
Jiaming Yuan
2022-01-18 20:16:19 +08:00
committed by GitHub
parent d6ea5cc1ed
commit deab0e32ba
8 changed files with 86 additions and 38 deletions

View File

@@ -1,5 +1,5 @@
/*!
* Copyright 2020-2021 by XGBoost Contributors
* Copyright 2020-2022 by XGBoost Contributors
* \file categorical.h
*/
#ifndef XGBOOST_COMMON_CATEGORICAL_H_
@@ -32,9 +32,17 @@ inline XGBOOST_DEVICE bool IsCat(Span<FeatureType const> ft, bst_feature_t fidx)
return !ft.empty() && ft[fidx] == FeatureType::kCategorical;
}
constexpr inline bst_cat_t OutOfRangeCat() {
// See the round trip assert in `InvalidCat`.
return static_cast<bst_cat_t>(16777217) - static_cast<bst_cat_t>(1);
}
inline XGBOOST_DEVICE bool InvalidCat(float cat) {
return cat < 0 || cat > static_cast<float>(std::numeric_limits<bst_cat_t>::max());
constexpr auto kMaxCat = OutOfRangeCat();
static_assert(static_cast<bst_cat_t>(static_cast<float>(kMaxCat)) == kMaxCat, "");
static_assert(static_cast<bst_cat_t>(static_cast<float>(kMaxCat + 1)) != kMaxCat + 1, "");
static_assert(static_cast<float>(kMaxCat + 1) == kMaxCat, "");
return cat < 0 || cat >= kMaxCat;
}
/* \brief Whether should it traverse to left branch of a tree.
@@ -53,9 +61,13 @@ inline XGBOOST_DEVICE bool Decision(common::Span<uint32_t const> cats, float cat
}
inline void InvalidCategory() {
LOG(FATAL) << "Invalid categorical value detected. Categorical value "
"should be non-negative, less than maximum size of int32 and less than total "
"number of categories in training data.";
// OutOfRangeCat() can be accurately represented, but everything after it will be
// rounded toward it, so we use >= for comparison check. As a result, we require input
// values to be less than this last representable value.
auto str = std::to_string(OutOfRangeCat());
LOG(FATAL) << "Invalid categorical value detected. Categorical value should be non-negative, "
"less than total umber of categories in training data and less than " +
str;
}
/*!