xgboost/src/common/common.h
Jiaming Yuan 98d6faefd6
Implement slope for Pseduo-Huber. (#7727)
* Add objective and metric.
* Some refactoring for CPU/GPU dispatching using linalg module.
2022-03-14 21:42:38 +08:00

204 lines
5.2 KiB
C++

/*!
* Copyright 2015-2018 by Contributors
* \file common.h
* \brief Common utilities
*/
#ifndef XGBOOST_COMMON_COMMON_H_
#define XGBOOST_COMMON_COMMON_H_
#include <xgboost/base.h>
#include <xgboost/logging.h>
#include <xgboost/span.h>
#include <algorithm>
#include <exception>
#include <functional>
#include <limits>
#include <type_traits>
#include <vector>
#include <string>
#include <sstream>
#include <numeric>
#include <utility>
#if defined(__CUDACC__)
#include <thrust/system/cuda/error.h>
#include <thrust/system_error.h>
#define WITH_CUDA() true
#else
#define WITH_CUDA() false
#endif // defined(__CUDACC__)
namespace dh {
#if defined(__CUDACC__)
/*
* Error handling functions
*/
#define safe_cuda(ans) ThrowOnCudaError((ans), __FILE__, __LINE__)
inline cudaError_t ThrowOnCudaError(cudaError_t code, const char *file,
int line) {
if (code != cudaSuccess) {
LOG(FATAL) << thrust::system_error(code, thrust::cuda_category(),
std::string{file} + ": " + // NOLINT
std::to_string(line)).what();
}
return code;
}
#endif // defined(__CUDACC__)
} // namespace dh
namespace xgboost {
namespace common {
/*!
* \brief Split a string by delimiter
* \param s String to be split.
* \param delim The delimiter.
*/
inline std::vector<std::string> Split(const std::string& s, char delim) {
std::string item;
std::istringstream is(s);
std::vector<std::string> ret;
while (std::getline(is, item, delim)) {
ret.push_back(item);
}
return ret;
}
template <typename T>
XGBOOST_DEVICE T Max(T a, T b) {
return a < b ? b : a;
}
// simple routine to convert any data to string
template<typename T>
inline std::string ToString(const T& data) {
std::ostringstream os;
os << data;
return os.str();
}
template <typename T1, typename T2>
XGBOOST_DEVICE T1 DivRoundUp(const T1 a, const T2 b) {
return static_cast<T1>(std::ceil(static_cast<double>(a) / b));
}
namespace detail {
template <class T, std::size_t N, std::size_t... Idx>
constexpr auto UnpackArr(std::array<T, N> &&arr, std::index_sequence<Idx...>) {
return std::make_tuple(std::forward<std::array<T, N>>(arr)[Idx]...);
}
} // namespace detail
template <class T, std::size_t N>
constexpr auto UnpackArr(std::array<T, N> &&arr) {
return detail::UnpackArr(std::forward<std::array<T, N>>(arr),
std::make_index_sequence<N>{});
}
/*
* Range iterator
*/
class Range {
public:
using DifferenceType = int64_t;
class Iterator {
friend class Range;
public:
XGBOOST_DEVICE DifferenceType operator*() const { return i_; }
XGBOOST_DEVICE const Iterator &operator++() {
i_ += step_;
return *this;
}
XGBOOST_DEVICE Iterator operator++(int) {
Iterator res {*this};
i_ += step_;
return res;
}
XGBOOST_DEVICE bool operator==(const Iterator &other) const {
return i_ >= other.i_;
}
XGBOOST_DEVICE bool operator!=(const Iterator &other) const {
return i_ < other.i_;
}
XGBOOST_DEVICE void Step(DifferenceType s) { step_ = s; }
protected:
XGBOOST_DEVICE explicit Iterator(DifferenceType start) : i_(start) {}
XGBOOST_DEVICE explicit Iterator(DifferenceType start, DifferenceType step) :
i_{start}, step_{step} {}
private:
int64_t i_;
DifferenceType step_ = 1;
};
XGBOOST_DEVICE Iterator begin() const { return begin_; } // NOLINT
XGBOOST_DEVICE Iterator end() const { return end_; } // NOLINT
XGBOOST_DEVICE Range(DifferenceType begin, DifferenceType end)
: begin_(begin), end_(end) {}
XGBOOST_DEVICE Range(DifferenceType begin, DifferenceType end,
DifferenceType step)
: begin_(begin, step), end_(end) {}
XGBOOST_DEVICE bool operator==(const Range& other) const {
return *begin_ == *other.begin_ && *end_ == *other.end_;
}
XGBOOST_DEVICE bool operator!=(const Range& other) const {
return !(*this == other);
}
XGBOOST_DEVICE void Step(DifferenceType s) { begin_.Step(s); }
private:
Iterator begin_;
Iterator end_;
};
int AllVisibleGPUs();
inline void AssertGPUSupport() {
#ifndef XGBOOST_USE_CUDA
LOG(FATAL) << "XGBoost version not compiled with GPU support.";
#endif // XGBOOST_USE_CUDA
}
inline void AssertOneAPISupport() {
#ifndef XGBOOST_USE_ONEAPI
LOG(FATAL) << "XGBoost version not compiled with OneAPI support.";
#endif // XGBOOST_USE_ONEAPI
}
template <typename Idx, typename Container,
typename V = typename Container::value_type,
typename Comp = std::less<V>>
std::vector<Idx> ArgSort(Container const &array, Comp comp = std::less<V>{}) {
std::vector<Idx> result(array.size());
std::iota(result.begin(), result.end(), 0);
auto op = [&array, comp](Idx const &l, Idx const &r) { return comp(array[l], array[r]); };
XGBOOST_PARALLEL_STABLE_SORT(result.begin(), result.end(), op);
return result;
}
struct OptionalWeights {
Span<float const> weights;
float dft{1.0f};
explicit OptionalWeights(Span<float const> w) : weights{w} {}
explicit OptionalWeights(float w) : dft{w} {}
XGBOOST_DEVICE float operator[](size_t i) const { return weights.empty() ? dft : weights[i]; }
};
} // namespace common
} // namespace xgboost
#endif // XGBOOST_COMMON_COMMON_H_