Update clang-tidy. (#10730)
- Install cmake using pip. - Fix compile command generation. - Clean up the tidy script and remove the need to load the yaml file. - Fix modernized type traits. - Fix span class. Polymorphism support is dropped
This commit is contained in:
Jiaming Yuan
GitHub
parent
03bd1183bc
commit
cb54374550
@ -686,8 +686,11 @@ class TCPSocket {
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* \return size of data actually received return -1 if error occurs
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*/
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auto Recv(void *buf, std::size_t len, std::int32_t flags = 0) {
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char *_buf = reinterpret_cast<char *>(buf);
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char *_buf = static_cast<char *>(buf);
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// See https://github.com/llvm/llvm-project/issues/104241 for skipped tidy analysis
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// NOLINTBEGIN(clang-analyzer-unix.BlockInCriticalSection)
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return recv(handle_, _buf, len, flags);
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// NOLINTEND(clang-analyzer-unix.BlockInCriticalSection)
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}
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/**
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* \brief Send string, format is matched with the Python socket wrapper in RABIT.
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@ -85,7 +85,7 @@ enum GPUAccess {
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template <typename T>
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class HostDeviceVector {
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static_assert(std::is_standard_layout<T>::value, "HostDeviceVector admits only POD types");
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static_assert(std::is_standard_layout_v<T>, "HostDeviceVector admits only POD types");
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public:
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explicit HostDeviceVector(size_t size = 0, T v = T(), DeviceOrd device = DeviceOrd::CPU());
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@ -11,9 +11,8 @@
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#include <functional>
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#include <map>
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#include <memory>
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#include <string>
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#include <type_traits> // std::enable_if,std::enable_if_t
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#include <type_traits> // std::enable_if_t
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#include <utility>
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#include <vector>
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@ -223,6 +222,14 @@ class JsonObject : public Value {
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~JsonObject() override = default;
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};
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namespace detail {
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template <typename T, typename U>
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using IsSameT = std::enable_if_t<std::is_same_v<std::remove_cv_t<T>, std::remove_cv_t<U>>>;
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template <typename T>
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using IsF64T = std::enable_if_t<std::is_same_v<T, double>>;
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} // namespace detail
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class JsonNumber : public Value {
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public:
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using Float = float;
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@ -232,15 +239,11 @@ class JsonNumber : public Value {
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public:
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JsonNumber() : Value(ValueKind::kNumber) {}
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template <typename FloatT,
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typename std::enable_if<std::is_same<FloatT, Float>::value>::type* = nullptr>
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JsonNumber(FloatT value) : Value(ValueKind::kNumber) { // NOLINT
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number_ = value;
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}
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template <typename FloatT,
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typename std::enable_if<std::is_same<FloatT, double>::value>::type* = nullptr>
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JsonNumber(FloatT value) : Value{ValueKind::kNumber}, // NOLINT
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number_{static_cast<Float>(value)} {}
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template <typename FloatT, typename detail::IsSameT<FloatT, Float>* = nullptr>
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JsonNumber(FloatT value) : Value(ValueKind::kNumber), number_{value} {} // NOLINT
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template <typename FloatT, typename detail::IsF64T<FloatT>* = nullptr>
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JsonNumber(FloatT value) // NOLINT
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: Value{ValueKind::kNumber}, number_{static_cast<Float>(value)} {}
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JsonNumber(JsonNumber const& that) = delete;
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JsonNumber(JsonNumber&& that) noexcept : Value{ValueKind::kNumber}, number_{that.number_} {}
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@ -258,6 +261,13 @@ class JsonNumber : public Value {
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}
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};
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namespace detail {
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template <typename IntT>
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using Not32SizeT = std::enable_if_t<std::is_same_v<IntT, std::uint32_t> &&
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!std::is_same_v<std::size_t, std::uint32_t>>;
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}
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class JsonInteger : public Value {
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public:
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using Int = int64_t;
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@ -267,24 +277,18 @@ class JsonInteger : public Value {
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public:
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JsonInteger() : Value(ValueKind::kInteger) {} // NOLINT
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template <typename IntT,
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typename std::enable_if<std::is_same<IntT, Int>::value>::type* = nullptr>
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JsonInteger(IntT value) : Value(ValueKind::kInteger), integer_{value} {} // NOLINT
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template <typename IntT,
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typename std::enable_if<std::is_same<IntT, size_t>::value>::type* = nullptr>
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JsonInteger(IntT value) : Value(ValueKind::kInteger), // NOLINT
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integer_{static_cast<Int>(value)} {}
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template <typename IntT,
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typename std::enable_if<std::is_same<IntT, int32_t>::value>::type* = nullptr>
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JsonInteger(IntT value) : Value(ValueKind::kInteger), // NOLINT
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integer_{static_cast<Int>(value)} {}
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template <typename IntT,
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typename std::enable_if<
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std::is_same<IntT, uint32_t>::value &&
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!std::is_same<std::size_t, uint32_t>::value>::type * = nullptr>
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template <typename IntT, typename detail::IsSameT<IntT, Int>* = nullptr>
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JsonInteger(IntT value) : Value(ValueKind::kInteger), integer_{value} {} // NOLINT
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template <typename IntT, typename detail::IsSameT<IntT, std::size_t>* = nullptr>
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JsonInteger(IntT value) // NOLINT
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: Value(ValueKind::kInteger),
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integer_{static_cast<Int>(value)} {}
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: Value(ValueKind::kInteger), integer_{static_cast<Int>(value)} {}
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template <typename IntT, typename detail::IsSameT<IntT, std::int32_t>* = nullptr>
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JsonInteger(IntT value) // NOLINT
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: Value(ValueKind::kInteger), integer_{static_cast<Int>(value)} {}
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template <typename IntT,
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typename detail::Not32SizeT<IntT>* = nullptr>
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JsonInteger(IntT value) // NOLINT
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: Value(ValueKind::kInteger), integer_{static_cast<Int>(value)} {}
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JsonInteger(JsonInteger &&that) noexcept
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: Value{ValueKind::kInteger}, integer_{that.integer_} {}
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@ -325,12 +329,8 @@ class JsonBoolean : public Value {
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public:
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JsonBoolean() : Value(ValueKind::kBoolean) {} // NOLINT
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// Ambigious with JsonNumber.
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template <typename Bool,
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typename std::enable_if<
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std::is_same<Bool, bool>::value ||
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std::is_same<Bool, bool const>::value>::type* = nullptr>
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JsonBoolean(Bool value) : // NOLINT
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Value(ValueKind::kBoolean), boolean_{value} {}
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template <typename Bool, typename detail::IsSameT<std::remove_cv_t<Bool>, bool>* = nullptr>
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JsonBoolean(Bool value) : Value(ValueKind::kBoolean), boolean_{value} {} // NOLINT
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JsonBoolean(JsonBoolean&& value) noexcept: // NOLINT
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Value(ValueKind::kBoolean), boolean_{value.boolean_} {}
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@ -506,71 +506,52 @@ bool IsA(Json const& j) {
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namespace detail {
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// Number
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template <typename T,
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typename std::enable_if<
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std::is_same<T, JsonNumber>::value>::type* = nullptr>
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template <typename T, typename std::enable_if_t<std::is_same_v<T, JsonNumber>>* = nullptr>
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JsonNumber::Float& GetImpl(T& val) { // NOLINT
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return val.GetNumber();
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}
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template <typename T,
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typename std::enable_if<
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std::is_same<T, JsonNumber const>::value>::type* = nullptr>
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template <typename T, typename std::enable_if_t<std::is_same_v<T, JsonNumber const>>* = nullptr>
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JsonNumber::Float const& GetImpl(T& val) { // NOLINT
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return val.GetNumber();
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}
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// Integer
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template <typename T,
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typename std::enable_if<
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std::is_same<T, JsonInteger>::value>::type* = nullptr>
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template <typename T, typename std::enable_if_t<std::is_same_v<T, JsonInteger>>* = nullptr>
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JsonInteger::Int& GetImpl(T& val) { // NOLINT
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return val.GetInteger();
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}
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template <typename T,
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typename std::enable_if<
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std::is_same<T, JsonInteger const>::value>::type* = nullptr>
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template <typename T, typename std::enable_if_t<std::is_same_v<T, JsonInteger const>>* = nullptr>
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JsonInteger::Int const& GetImpl(T& val) { // NOLINT
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return val.GetInteger();
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}
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// String
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template <typename T,
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typename std::enable_if<
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std::is_same<T, JsonString>::value>::type* = nullptr>
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template <typename T, typename std::enable_if_t<std::is_same_v<T, JsonString>>* = nullptr>
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std::string& GetImpl(T& val) { // NOLINT
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return val.GetString();
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}
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template <typename T,
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typename std::enable_if<
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std::is_same<T, JsonString const>::value>::type* = nullptr>
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template <typename T, typename std::enable_if_t<std::is_same_v<T, JsonString const>>* = nullptr>
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std::string const& GetImpl(T& val) { // NOLINT
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return val.GetString();
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}
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// Boolean
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template <typename T,
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typename std::enable_if<
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std::is_same<T, JsonBoolean>::value>::type* = nullptr>
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template <typename T, typename std::enable_if_t<std::is_same_v<T, JsonBoolean>>* = nullptr>
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bool& GetImpl(T& val) { // NOLINT
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return val.GetBoolean();
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}
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template <typename T,
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typename std::enable_if<
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std::is_same<T, JsonBoolean const>::value>::type* = nullptr>
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typename std::enable_if_t<std::is_same_v<T, JsonBoolean const>>* = nullptr>
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bool const& GetImpl(T& val) { // NOLINT
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return val.GetBoolean();
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}
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// Array
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template <typename T,
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typename std::enable_if<
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std::is_same<T, JsonArray>::value>::type* = nullptr>
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template <typename T, typename std::enable_if_t<std::is_same_v<T, JsonArray>>* = nullptr>
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std::vector<Json>& GetImpl(T& val) { // NOLINT
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return val.GetArray();
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}
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template <typename T,
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typename std::enable_if<
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std::is_same<T, JsonArray const>::value>::type* = nullptr>
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template <typename T, typename std::enable_if_t<std::is_same_v<T, JsonArray const>>* = nullptr>
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std::vector<Json> const& GetImpl(T& val) { // NOLINT
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return val.GetArray();
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}
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@ -586,12 +567,11 @@ std::vector<T> const& GetImpl(JsonTypedArray<T, kind> const& val) {
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}
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// Object
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template <typename T, typename std::enable_if<std::is_same<T, JsonObject>::value>::type* = nullptr>
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template <typename T, typename std::enable_if_t<std::is_same_v<T, JsonObject>>* = nullptr>
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JsonObject::Map& GetImpl(T& val) { // NOLINT
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return val.GetObject();
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}
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template <typename T,
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typename std::enable_if<std::is_same<T, JsonObject const>::value>::type* = nullptr>
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template <typename T, typename std::enable_if_t<std::is_same_v<T, JsonObject const>>* = nullptr>
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JsonObject::Map const& GetImpl(T& val) { // NOLINT
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return val.GetObject();
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}
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@ -1,5 +1,5 @@
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/**
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* Copyright 2019-2023, XGBoost Contributors
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* Copyright 2019-2024, XGBoost Contributors
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*/
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#ifndef XGBOOST_JSON_IO_H_
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#define XGBOOST_JSON_IO_H_
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@ -7,11 +7,8 @@
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#include <xgboost/base.h>
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#include <xgboost/json.h>
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#include <cinttypes>
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#include <cstdint> // for int8_t
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#include <limits>
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#include <map>
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#include <memory>
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#include <sstream>
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#include <string>
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#include <utility>
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#include <vector>
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@ -111,7 +108,7 @@ class JsonReader {
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};
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class JsonWriter {
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template <typename T, std::enable_if_t<!std::is_same<Json, T>::value>* = nullptr>
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template <typename T, std::enable_if_t<!std::is_same_v<Json, T>>* = nullptr>
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void Save(T const& v) {
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this->Save(Json{v});
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}
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@ -43,9 +43,9 @@ namespace detail {
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struct ArrayInterfaceHandler {
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template <typename T>
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static constexpr char TypeChar() {
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return (std::is_floating_point<T>::value
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return (std::is_floating_point_v<T>
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? 'f'
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: (std::is_integral<T>::value ? (std::is_signed<T>::value ? 'i' : 'u') : '\0'));
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: (std::is_integral_v<T> ? (std::is_signed_v<T> ? 'i' : 'u') : '\0'));
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}
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};
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@ -93,7 +93,7 @@ struct RangeTag {
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*/
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template <typename T>
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constexpr int32_t CalcSliceDim() {
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return std::is_same<T, IntTag>::value ? 0 : 1;
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return std::is_same_v<T, IntTag> ? 0 : 1;
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}
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template <typename T, typename... S>
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@ -114,7 +114,7 @@ template <typename S>
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using RemoveCRType = std::remove_const_t<std::remove_reference_t<S>>;
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template <typename S>
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using IndexToTag = std::conditional_t<std::is_integral<RemoveCRType<S>>::value, IntTag, S>;
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using IndexToTag = std::conditional_t<std::is_integral_v<RemoveCRType<S>>, IntTag, S>;
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template <int32_t n, typename Fn>
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LINALG_HD constexpr auto UnrollLoop(Fn fn) {
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@ -159,7 +159,7 @@ inline LINALG_HD int Popc(uint64_t v) {
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template <std::size_t D, typename Head>
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LINALG_HD void IndexToArr(std::size_t (&arr)[D], Head head) {
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static_assert(std::is_integral<std::remove_reference_t<Head>>::value, "Invalid index type.");
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static_assert(std::is_integral_v<std::remove_reference_t<Head>>, "Invalid index type.");
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arr[D - 1] = head;
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}
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@ -169,7 +169,7 @@ LINALG_HD void IndexToArr(std::size_t (&arr)[D], Head head) {
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template <std::size_t D, typename Head, typename... Rest>
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LINALG_HD void IndexToArr(std::size_t (&arr)[D], Head head, Rest &&...index) {
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static_assert(sizeof...(Rest) < D, "Index overflow.");
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static_assert(std::is_integral<std::remove_reference_t<Head>>::value, "Invalid index type.");
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static_assert(std::is_integral_v<std::remove_reference_t<Head>>, "Invalid index type.");
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arr[D - sizeof...(Rest) - 1] = head;
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IndexToArr(arr, std::forward<Rest>(index)...);
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}
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@ -193,7 +193,7 @@ constexpr auto ArrToTuple(T (&arr)[N]) {
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template <typename I, std::int32_t D>
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LINALG_HD auto UnravelImpl(I idx, common::Span<size_t const, D> shape) {
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std::size_t index[D]{0};
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static_assert(std::is_signed<decltype(D)>::value,
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static_assert(std::is_signed_v<decltype(D)>,
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"Don't change the type without changing the for loop.");
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auto const sptr = shape.data();
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for (int32_t dim = D; --dim > 0;) {
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@ -379,7 +379,7 @@ class TensorView {
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* \brief Slice dimension for Index tag.
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*/
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template <size_t old_dim, size_t new_dim, int32_t D, typename Index, typename... S>
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LINALG_HD std::enable_if_t<std::is_integral<Index>::value, size_t> MakeSliceDim(
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LINALG_HD std::enable_if_t<std::is_integral_v<Index>, size_t> MakeSliceDim(
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size_t new_shape[D], size_t new_stride[D], Index i, S &&...slices) const {
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static_assert(old_dim < kDim);
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auto offset = stride_[old_dim] * i;
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@ -547,7 +547,7 @@ class TensorView {
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*/
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[[nodiscard]] LINALG_HD bool CContiguous() const {
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StrideT stride;
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static_assert(std::is_same<decltype(stride), decltype(stride_)>::value);
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static_assert(std::is_same_v<decltype(stride), decltype(stride_)>);
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// It's contiguous if the stride can be calculated from shape.
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detail::CalcStride(shape_, stride);
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return common::Span<size_t const, kDim>{stride_} == common::Span<size_t const, kDim>{stride};
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@ -557,7 +557,7 @@ class TensorView {
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*/
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[[nodiscard]] LINALG_HD bool FContiguous() const {
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StrideT stride;
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static_assert(std::is_same<decltype(stride), decltype(stride_)>::value);
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static_assert(std::is_same_v<decltype(stride), decltype(stride_)>);
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// It's contiguous if the stride can be calculated from shape.
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detail::CalcStride<kDim, true>(shape_, stride);
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return common::Span<size_t const, kDim>{stride_} == common::Span<size_t const, kDim>{stride};
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@ -55,7 +55,7 @@ class FieldEntry<EnumClass> : public FieldEntry<int> { \
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public: \
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FieldEntry() { \
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static_assert( \
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std::is_same<int, typename std::underlying_type<EnumClass>::type>::value, \
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std::is_same_v<int, typename std::underlying_type_t<EnumClass>>, \
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"enum class must be backed by int"); \
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is_enum_ = true; \
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} \
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@ -1,5 +1,5 @@
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/**
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* Copyright 2018-2023, XGBoost contributors
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* Copyright 2018-2024, XGBoost contributors
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* \brief span class based on ISO++20 span
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*
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* About NOLINTs in this file:
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@ -129,9 +129,8 @@ namespace detail {
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* represent ptrdiff_t, which is just int64_t. So we make it deterministic
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* here.
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*/
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using ptrdiff_t = typename std::conditional< // NOLINT
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std::is_same<std::ptrdiff_t, std::int64_t>::value,
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std::ptrdiff_t, std::int64_t>::type;
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using ptrdiff_t = typename std::conditional_t< // NOLINT
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std::is_same_v<std::ptrdiff_t, std::int64_t>, std::ptrdiff_t, std::int64_t>;
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} // namespace detail
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#if defined(_MSC_VER) && _MSC_VER < 1910
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@ -169,8 +168,8 @@ class SpanIterator {
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span_(_span), index_(_idx) {}
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friend SpanIterator<SpanType, true>;
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template <bool B, typename std::enable_if<!B && IsConst>::type* = nullptr>
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XGBOOST_DEVICE constexpr SpanIterator( // NOLINT
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template <bool B, typename std::enable_if_t<!B && IsConst>* = nullptr>
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XGBOOST_DEVICE constexpr SpanIterator( // NOLINT
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const SpanIterator<SpanType, B>& other_) __span_noexcept
|
||||
: SpanIterator(other_.span_, other_.index_) {}
|
||||
|
||||
@ -303,8 +302,8 @@ struct IsAllowedExtentConversion : public std::integral_constant<
|
||||
bool, From == To || From == dynamic_extent || To == dynamic_extent> {};
|
||||
|
||||
template <class From, class To>
|
||||
struct IsAllowedElementTypeConversion : public std::integral_constant<
|
||||
bool, std::is_convertible<From(*)[], To(*)[]>::value> {};
|
||||
struct IsAllowedElementTypeConversion
|
||||
: public std::integral_constant<bool, std::is_convertible_v<From (*)[], To (*)[]>> {}; // NOLINT
|
||||
|
||||
template <class T>
|
||||
struct IsSpanOracle : std::false_type {};
|
||||
@ -313,7 +312,7 @@ template <class T, std::size_t Extent>
|
||||
struct IsSpanOracle<Span<T, Extent>> : std::true_type {};
|
||||
|
||||
template <class T>
|
||||
struct IsSpan : public IsSpanOracle<typename std::remove_cv<T>::type> {};
|
||||
struct IsSpan : public IsSpanOracle<typename std::remove_cv_t<T>> {};
|
||||
|
||||
// Re-implement std algorithms here to adopt CUDA.
|
||||
template <typename T>
|
||||
@ -452,35 +451,34 @@ class Span {
|
||||
__span_noexcept : size_(N), data_(&arr[0]) {}
|
||||
|
||||
template <class Container,
|
||||
class = typename std::enable_if<
|
||||
!std::is_const<element_type>::value &&
|
||||
!detail::IsSpan<Container>::value &&
|
||||
std::is_convertible<typename Container::pointer, pointer>::value &&
|
||||
std::is_convertible<typename Container::pointer,
|
||||
decltype(std::declval<Container>().data())>::value>::type>
|
||||
Span(Container& _cont) : // NOLINT
|
||||
size_(_cont.size()), data_(_cont.data()) {
|
||||
class = typename std::enable_if_t<
|
||||
!std::is_const_v<element_type> && !detail::IsSpan<Container>::value &&
|
||||
std::is_convertible_v<typename Container::pointer, pointer> &&
|
||||
std::is_convertible_v<typename Container::pointer,
|
||||
decltype(std::declval<Container>().data())>>>
|
||||
Span(Container& _cont) // NOLINT
|
||||
: size_(_cont.size()), data_(_cont.data()) {
|
||||
static_assert(!detail::IsSpan<Container>::value, "Wrong constructor of Span is called.");
|
||||
}
|
||||
|
||||
template <class Container,
|
||||
class = typename std::enable_if<
|
||||
std::is_const<element_type>::value &&
|
||||
!detail::IsSpan<Container>::value &&
|
||||
std::is_convertible<typename Container::pointer, pointer>::value &&
|
||||
std::is_convertible<typename Container::pointer,
|
||||
decltype(std::declval<Container>().data())>::value>::type>
|
||||
Span(const Container& _cont) : size_(_cont.size()), // NOLINT
|
||||
data_(_cont.data()) {
|
||||
class = typename std::enable_if_t<
|
||||
std::is_const_v<element_type> && !detail::IsSpan<Container>::value &&
|
||||
std::is_convertible_v<typename Container::pointer, pointer> &&
|
||||
std::is_convertible_v<typename Container::pointer,
|
||||
decltype(std::declval<Container>().data())>>>
|
||||
Span(const Container& _cont) // NOLINT
|
||||
: size_(_cont.size()), data_(_cont.data()) {
|
||||
static_assert(!detail::IsSpan<Container>::value, "Wrong constructor of Span is called.");
|
||||
}
|
||||
|
||||
template <class U, std::size_t OtherExtent,
|
||||
class = typename std::enable_if<
|
||||
detail::IsAllowedElementTypeConversion<U, T>::value &&
|
||||
detail::IsAllowedExtentConversion<OtherExtent, Extent>::value>>
|
||||
XGBOOST_DEVICE constexpr Span(const Span<U, OtherExtent>& _other) // NOLINT
|
||||
__span_noexcept : size_(_other.size()), data_(_other.data()) {}
|
||||
class = typename std::enable_if_t<
|
||||
detail::IsAllowedElementTypeConversion<U, T>::value &&
|
||||
detail::IsAllowedExtentConversion<OtherExtent, Extent>::value>>
|
||||
XGBOOST_DEVICE constexpr Span(const Span<U, OtherExtent>& _other) // NOLINT
|
||||
__span_noexcept : size_(_other.size()),
|
||||
data_(_other.data()) {}
|
||||
|
||||
XGBOOST_DEVICE constexpr Span(const Span& _other)
|
||||
__span_noexcept : size_(_other.size()), data_(_other.data()) {}
|
||||
|
||||
@ -82,7 +82,7 @@ class AllreduceFunctor {
|
||||
}
|
||||
|
||||
private:
|
||||
template <class T, std::enable_if_t<std::is_integral<T>::value>* = nullptr>
|
||||
template <class T, std::enable_if_t<std::is_integral_v<T>>* = nullptr>
|
||||
void AccumulateBitwise(T* buffer, T const* input, std::size_t size, Op reduce_operation) const {
|
||||
switch (reduce_operation) {
|
||||
case Op::kBitwiseAND:
|
||||
@ -99,7 +99,7 @@ class AllreduceFunctor {
|
||||
}
|
||||
}
|
||||
|
||||
template <class T, std::enable_if_t<std::is_floating_point<T>::value>* = nullptr>
|
||||
template <class T, std::enable_if_t<std::is_floating_point_v<T>>* = nullptr>
|
||||
void AccumulateBitwise(T*, T const*, std::size_t, Op) const {
|
||||
LOG(FATAL) << "Floating point types do not support bitwise operations.";
|
||||
}
|
||||
|
||||
@ -81,8 +81,8 @@ struct AtomicDispatcher<sizeof(uint64_t)> {
|
||||
|
||||
// atomicAdd is not defined for size_t.
|
||||
template <typename T = size_t,
|
||||
std::enable_if_t<std::is_same<size_t, T>::value &&
|
||||
!std::is_same<size_t, unsigned long long>::value> * = // NOLINT
|
||||
std::enable_if_t<std::is_same_v<size_t, T> &&
|
||||
!std::is_same_v<size_t, unsigned long long>> * = // NOLINT
|
||||
nullptr>
|
||||
XGBOOST_DEV_INLINE T atomicAdd(T *addr, T v) { // NOLINT
|
||||
using Type = typename dh::detail::AtomicDispatcher<sizeof(T)>::Type;
|
||||
@ -381,7 +381,7 @@ void CopyTo(Src const &src, Dst *dst) {
|
||||
dst->resize(src.size());
|
||||
using SVT = std::remove_cv_t<typename Src::value_type>;
|
||||
using DVT = std::remove_cv_t<typename Dst::value_type>;
|
||||
static_assert(std::is_same<SVT, DVT>::value,
|
||||
static_assert(std::is_same_v<SVT, DVT>,
|
||||
"Host and device containers must have same value type.");
|
||||
dh::safe_cuda(cudaMemcpyAsync(thrust::raw_pointer_cast(dst->data()), src.data(),
|
||||
src.size() * sizeof(SVT), cudaMemcpyDefault));
|
||||
|
||||
@ -224,11 +224,11 @@ void JsonArray::Save(JsonWriter* writer) const { writer->Visit(this); }
|
||||
namespace {
|
||||
// error C2668: 'fpclassify': ambiguous call to overloaded function
|
||||
template <typename T>
|
||||
std::enable_if_t<std::is_floating_point<T>::value, bool> IsInfMSVCWar(T v) {
|
||||
std::enable_if_t<std::is_floating_point_v<T>, bool> IsInfMSVCWar(T v) {
|
||||
return std::isinf(v);
|
||||
}
|
||||
template <typename T>
|
||||
std::enable_if_t<std::is_integral<T>::value, bool> IsInfMSVCWar(T) {
|
||||
std::enable_if_t<std::is_integral_v<T>, bool> IsInfMSVCWar(T) {
|
||||
return false;
|
||||
}
|
||||
} // namespace
|
||||
@ -247,7 +247,7 @@ bool JsonTypedArray<T, kind>::operator==(Value const& rhs) const {
|
||||
if (vec_.size() != arr.size()) {
|
||||
return false;
|
||||
}
|
||||
if (std::is_same<float, T>::value) {
|
||||
if (std::is_same_v<float, T>) {
|
||||
for (size_t i = 0; i < vec_.size(); ++i) {
|
||||
bool equal{false};
|
||||
if (common::CheckNAN(vec_[i])) {
|
||||
@ -693,10 +693,10 @@ void Json::Dump(Json json, JsonWriter* writer) {
|
||||
writer->Save(json);
|
||||
}
|
||||
|
||||
static_assert(std::is_nothrow_move_constructible<Json>::value);
|
||||
static_assert(std::is_nothrow_move_constructible<Object>::value);
|
||||
static_assert(std::is_nothrow_move_constructible<Array>::value);
|
||||
static_assert(std::is_nothrow_move_constructible<String>::value);
|
||||
static_assert(std::is_nothrow_move_constructible_v<Json>);
|
||||
static_assert(std::is_nothrow_move_constructible_v<Object>);
|
||||
static_assert(std::is_nothrow_move_constructible_v<Array>);
|
||||
static_assert(std::is_nothrow_move_constructible_v<String>);
|
||||
|
||||
Json UBJReader::ParseArray() {
|
||||
auto marker = PeekNextChar();
|
||||
@ -887,17 +887,17 @@ template <typename T, Value::ValueKind kind>
|
||||
void WriteTypedArray(JsonTypedArray<T, kind> const* arr, std::vector<char>* stream) {
|
||||
stream->emplace_back('[');
|
||||
stream->push_back('$');
|
||||
if (std::is_same<T, float>::value) {
|
||||
if (std::is_same_v<T, float>) {
|
||||
stream->push_back('d');
|
||||
} else if (std::is_same_v<T, double>) {
|
||||
stream->push_back('D');
|
||||
} else if (std::is_same<T, int8_t>::value) {
|
||||
} else if (std::is_same_v<T, int8_t>) {
|
||||
stream->push_back('i');
|
||||
} else if (std::is_same<T, uint8_t>::value) {
|
||||
} else if (std::is_same_v<T, uint8_t>) {
|
||||
stream->push_back('U');
|
||||
} else if (std::is_same<T, int32_t>::value) {
|
||||
} else if (std::is_same_v<T, int32_t>) {
|
||||
stream->push_back('l');
|
||||
} else if (std::is_same<T, int64_t>::value) {
|
||||
} else if (std::is_same_v<T, int64_t>) {
|
||||
stream->push_back('L');
|
||||
} else {
|
||||
LOG(FATAL) << "Not implemented";
|
||||
|
||||
@ -12,7 +12,7 @@
|
||||
#include <algorithm> // for max
|
||||
#include <cmath> // for exp, abs, log, lgamma
|
||||
#include <limits> // for numeric_limits
|
||||
#include <type_traits> // for is_floating_point, conditional, is_signed, is_same, declval, enable_if
|
||||
#include <type_traits> // for is_floating_point_v, conditional, is_signed, is_same, declval
|
||||
#include <utility> // for pair
|
||||
|
||||
namespace xgboost {
|
||||
@ -43,15 +43,11 @@ XGBOOST_DEVICE inline double Sigmoid(double x) {
|
||||
*/
|
||||
template <typename T, typename U>
|
||||
XGBOOST_DEVICE constexpr bool CloseTo(T a, U b) {
|
||||
using Casted =
|
||||
typename std::conditional<
|
||||
std::is_floating_point<T>::value || std::is_floating_point<U>::value,
|
||||
double,
|
||||
typename std::conditional<
|
||||
std::is_signed<T>::value || std::is_signed<U>::value,
|
||||
int64_t,
|
||||
uint64_t>::type>::type;
|
||||
return std::is_floating_point<Casted>::value ?
|
||||
using Casted = typename std::conditional_t<
|
||||
std::is_floating_point_v<T> || std::is_floating_point_v<U>, double,
|
||||
typename std::conditional_t<std::is_signed_v<T> || std::is_signed_v<U>, std::int64_t,
|
||||
std::uint64_t>>;
|
||||
return std::is_floating_point_v<Casted> ?
|
||||
std::abs(static_cast<Casted>(a) -static_cast<Casted>(b)) < 1e-6 : a == b;
|
||||
}
|
||||
|
||||
@ -65,11 +61,10 @@ XGBOOST_DEVICE constexpr bool CloseTo(T a, U b) {
|
||||
*/
|
||||
template <typename Iterator>
|
||||
XGBOOST_DEVICE inline void Softmax(Iterator start, Iterator end) {
|
||||
static_assert(std::is_same<bst_float,
|
||||
typename std::remove_reference<
|
||||
decltype(std::declval<Iterator>().operator*())>::type
|
||||
>::value,
|
||||
"Values should be of type bst_float");
|
||||
static_assert(
|
||||
std::is_same_v<
|
||||
float, typename std::remove_reference_t<decltype(std::declval<Iterator>().operator*())>>,
|
||||
"Values should be of type bst_float");
|
||||
bst_float wmax = *start;
|
||||
for (Iterator i = start+1; i != end; ++i) {
|
||||
wmax = fmaxf(*i, wmax);
|
||||
@ -137,9 +132,7 @@ inline float LogSum(Iterator begin, Iterator end) {
|
||||
// Redefined here to workaround a VC bug that doesn't support overloading for integer
|
||||
// types.
|
||||
template <typename T>
|
||||
XGBOOST_DEVICE typename std::enable_if<
|
||||
std::numeric_limits<T>::is_integer, bool>::type
|
||||
CheckNAN(T) {
|
||||
XGBOOST_DEVICE typename std::enable_if_t<std::numeric_limits<T>::is_integer, bool> CheckNAN(T) {
|
||||
return false;
|
||||
}
|
||||
|
||||
|
||||
@ -1,9 +1,9 @@
|
||||
/*!
|
||||
* Copyright 2022 by XGBoost Contributors
|
||||
/**
|
||||
* Copyright 2022-2024, XGBoost Contributors
|
||||
*/
|
||||
#include "numeric.h"
|
||||
|
||||
#include <type_traits> // std::is_same
|
||||
#include <type_traits> // std::is_same_v
|
||||
|
||||
#include "xgboost/context.h" // Context
|
||||
#include "xgboost/host_device_vector.h" // HostDeviceVector
|
||||
@ -16,7 +16,7 @@ double Reduce(Context const* ctx, HostDeviceVector<float> const& values) {
|
||||
} else {
|
||||
auto const& h_values = values.ConstHostVector();
|
||||
auto result = cpu_impl::Reduce(ctx, h_values.cbegin(), h_values.cend(), 0.0);
|
||||
static_assert(std::is_same<decltype(result), double>::value);
|
||||
static_assert(std::is_same_v<decltype(result), double>);
|
||||
return result;
|
||||
}
|
||||
}
|
||||
|
||||
@ -1,17 +1,18 @@
|
||||
/**
|
||||
* Copyright 2022-2023 by XGBoost contributors.
|
||||
* Copyright 2022-2024, XGBoost contributors.
|
||||
*/
|
||||
#ifndef XGBOOST_COMMON_NUMERIC_H_
|
||||
#define XGBOOST_COMMON_NUMERIC_H_
|
||||
|
||||
#include <dmlc/common.h> // OMPException
|
||||
|
||||
#include <algorithm> // for std::max
|
||||
#include <cstddef> // for size_t
|
||||
#include <cstdint> // for int32_t
|
||||
#include <iterator> // for iterator_traits
|
||||
#include <numeric> // for accumulate
|
||||
#include <vector>
|
||||
#include <algorithm> // for max
|
||||
#include <cstddef> // for size_t
|
||||
#include <cstdint> // for int32_t
|
||||
#include <iterator> // for iterator_traits
|
||||
#include <numeric> // for accumulate
|
||||
#include <type_traits> // for is_same_v
|
||||
#include <vector> // for vector
|
||||
|
||||
#include "common.h" // AssertGPUSupport
|
||||
#include "threading_utils.h" // MemStackAllocator, DefaultMaxThreads
|
||||
@ -44,8 +45,8 @@ void RunLengthEncode(Iter begin, Iter end, std::vector<Idx>* p_out) {
|
||||
*/
|
||||
template <typename InIt, typename OutIt, typename T>
|
||||
void PartialSum(int32_t n_threads, InIt begin, InIt end, T init, OutIt out_it) {
|
||||
static_assert(std::is_same<T, typename std::iterator_traits<InIt>::value_type>::value);
|
||||
static_assert(std::is_same<T, typename std::iterator_traits<OutIt>::value_type>::value);
|
||||
static_assert(std::is_same_v<T, typename std::iterator_traits<InIt>::value_type>);
|
||||
static_assert(std::is_same_v<T, typename std::iterator_traits<OutIt>::value_type>);
|
||||
// The number of threads is pegged to the batch size. If the OMP block is parallelized
|
||||
// on anything other than the batch/block size, it should be reassigned
|
||||
auto n = static_cast<size_t>(std::distance(begin, end));
|
||||
|
||||
@ -105,9 +105,9 @@ class TrainingObserver {
|
||||
|
||||
/*\brief Observe objects with `XGBoostParamer' type. */
|
||||
template <typename Parameter,
|
||||
typename std::enable_if<
|
||||
std::is_base_of<XGBoostParameter<Parameter>, Parameter>::value>::type* = nullptr>
|
||||
void Observe(const Parameter &p, std::string name) const {
|
||||
typename std::enable_if_t<std::is_base_of_v<XGBoostParameter<Parameter>, Parameter>>* =
|
||||
nullptr>
|
||||
void Observe(const Parameter& p, std::string name) const {
|
||||
if (XGBOOST_EXPECT(!kObserve, true)) { return; }
|
||||
|
||||
Json obj {toJson(p)};
|
||||
|
||||
@ -8,8 +8,9 @@
|
||||
#include <thrust/transform_scan.h>
|
||||
#include <thrust/unique.h>
|
||||
|
||||
#include <limits> // std::numeric_limits
|
||||
#include <numeric> // for partial_sum
|
||||
#include <limits> // for numeric_limits
|
||||
#include <numeric> // for partial_sum
|
||||
#include <type_traits> // for is_same_v
|
||||
#include <utility>
|
||||
|
||||
#include "../collective/allgather.h"
|
||||
@ -108,7 +109,7 @@ void PruneImpl(common::Span<SketchContainer::OffsetT const> cuts_ptr,
|
||||
template <typename T, typename U>
|
||||
void CopyTo(Span<T> out, Span<U> src) {
|
||||
CHECK_EQ(out.size(), src.size());
|
||||
static_assert(std::is_same<std::remove_cv_t<T>, std::remove_cv_t<T>>::value);
|
||||
static_assert(std::is_same_v<std::remove_cv_t<T>, std::remove_cv_t<T>>);
|
||||
dh::safe_cuda(cudaMemcpyAsync(out.data(), src.data(),
|
||||
out.size_bytes(),
|
||||
cudaMemcpyDefault));
|
||||
|
||||
@ -15,7 +15,7 @@
|
||||
#include <cstddef> // std::size_t
|
||||
#include <iterator> // std::distance
|
||||
#include <limits> // std::numeric_limits
|
||||
#include <type_traits> // std::is_floating_point,std::iterator_traits
|
||||
#include <type_traits> // std::is_floating_point_v,std::iterator_traits
|
||||
|
||||
#include "algorithm.cuh" // SegmentedArgMergeSort
|
||||
#include "cuda_context.cuh" // CUDAContext
|
||||
@ -37,9 +37,9 @@ struct QuantileSegmentOp {
|
||||
AlphaIt alpha_it;
|
||||
Span<float> d_results;
|
||||
|
||||
static_assert(std::is_floating_point<typename std::iterator_traits<ValIt>::value_type>::value,
|
||||
static_assert(std::is_floating_point_v<typename std::iterator_traits<ValIt>::value_type>,
|
||||
"Invalid value for quantile.");
|
||||
static_assert(std::is_floating_point<typename std::iterator_traits<ValIt>::value_type>::value,
|
||||
static_assert(std::is_floating_point_v<typename std::iterator_traits<ValIt>::value_type>,
|
||||
"Invalid alpha.");
|
||||
|
||||
XGBOOST_DEVICE void operator()(std::size_t seg_idx) {
|
||||
@ -102,9 +102,9 @@ struct WeightedQuantileSegOp {
|
||||
Span<float const> d_weight_cdf;
|
||||
Span<std::size_t const> d_sorted_idx;
|
||||
Span<float> d_results;
|
||||
static_assert(std::is_floating_point<typename std::iterator_traits<AlphaIt>::value_type>::value,
|
||||
static_assert(std::is_floating_point_v<typename std::iterator_traits<AlphaIt>::value_type>,
|
||||
"Invalid alpha.");
|
||||
static_assert(std::is_floating_point<typename std::iterator_traits<ValIt>::value_type>::value,
|
||||
static_assert(std::is_floating_point_v<typename std::iterator_traits<ValIt>::value_type>,
|
||||
"Invalid value for quantile.");
|
||||
|
||||
XGBOOST_DEVICE void operator()(std::size_t seg_idx) {
|
||||
@ -146,7 +146,7 @@ auto MakeWQSegOp(SegIt seg_it, ValIt val_it, AlphaIt alpha_it, Span<float const>
|
||||
* std::distance(seg_begin, seg_end) should be equal to n_segments + 1
|
||||
*/
|
||||
template <typename SegIt, typename ValIt, typename AlphaIt,
|
||||
std::enable_if_t<!std::is_floating_point<AlphaIt>::value>* = nullptr>
|
||||
std::enable_if_t<!std::is_floating_point_v<AlphaIt>>* = nullptr>
|
||||
void SegmentedQuantile(Context const* ctx, AlphaIt alpha_it, SegIt seg_begin, SegIt seg_end,
|
||||
ValIt val_begin, ValIt val_end, HostDeviceVector<float>* quantiles) {
|
||||
dh::device_vector<std::size_t> sorted_idx;
|
||||
@ -197,8 +197,8 @@ void SegmentedQuantile(Context const* ctx, double alpha, SegIt seg_begin, SegIt
|
||||
* @param w_begin Iterator for weight for each input element
|
||||
*/
|
||||
template <typename SegIt, typename ValIt, typename AlphaIt, typename WIter,
|
||||
typename std::enable_if_t<!std::is_same<
|
||||
typename std::iterator_traits<AlphaIt>::value_type, void>::value>* = nullptr>
|
||||
typename std::enable_if_t<
|
||||
!std::is_same_v<typename std::iterator_traits<AlphaIt>::value_type, void>>* = nullptr>
|
||||
void SegmentedWeightedQuantile(Context const* ctx, AlphaIt alpha_it, SegIt seg_beg, SegIt seg_end,
|
||||
ValIt val_begin, ValIt val_end, WIter w_begin, WIter w_end,
|
||||
HostDeviceVector<float>* quantiles) {
|
||||
|
||||
@ -49,7 +49,7 @@ float Quantile(Context const* ctx, double alpha, Iter const& begin, Iter const&
|
||||
}
|
||||
|
||||
auto val = [&](size_t i) { return *(begin + sorted_idx[i]); };
|
||||
static_assert(std::is_same<decltype(val(0)), float>::value);
|
||||
static_assert(std::is_same_v<decltype(val(0)), float>);
|
||||
|
||||
if (alpha <= (1 / (n + 1))) {
|
||||
return val(0);
|
||||
|
||||
@ -128,7 +128,7 @@ class Transform {
|
||||
}
|
||||
|
||||
#if defined(__CUDACC__)
|
||||
template <typename std::enable_if<CompiledWithCuda>::type* = nullptr,
|
||||
template <typename std::enable_if_t<CompiledWithCuda>* = nullptr,
|
||||
typename... HDV>
|
||||
void LaunchCUDA(Functor _func, HDV*... _vectors) const {
|
||||
UnpackShard(device_, _vectors...);
|
||||
@ -151,9 +151,8 @@ class Transform {
|
||||
}
|
||||
#else
|
||||
/*! \brief Dummy function defined when compiling for CPU. */
|
||||
template <typename std::enable_if<!CompiledWithCuda>::type* = nullptr,
|
||||
typename... HDV>
|
||||
void LaunchCUDA(Functor _func, HDV*...) const {
|
||||
template <typename std::enable_if_t<!CompiledWithCuda> * = nullptr, typename... HDV>
|
||||
void LaunchCUDA(Functor _func, HDV *...) const {
|
||||
// Remove unused parameter compiler warning.
|
||||
(void) _func;
|
||||
|
||||
|
||||
@ -12,7 +12,7 @@
|
||||
#include <limits> // for numeric_limits
|
||||
#include <map> // for map
|
||||
#include <string> // for string
|
||||
#include <type_traits> // for alignment_of, remove_pointer_t, invoke_result_t
|
||||
#include <type_traits> // for alignment_of_v, remove_pointer_t, invoke_result_t
|
||||
#include <vector> // for vector
|
||||
|
||||
#include "../common/bitfield.h" // for RBitField8
|
||||
@ -334,7 +334,7 @@ struct ToDType<double> {
|
||||
};
|
||||
template <typename T>
|
||||
struct ToDType<T,
|
||||
std::enable_if_t<std::is_same<T, long double>::value && sizeof(long double) == 16>> {
|
||||
std::enable_if_t<std::is_same_v<T, long double> && sizeof(long double) == 16>> {
|
||||
static constexpr ArrayInterfaceHandler::Type kType = ArrayInterfaceHandler::kF16;
|
||||
};
|
||||
// uint
|
||||
@ -555,7 +555,7 @@ class ArrayInterface {
|
||||
}
|
||||
[[nodiscard]] XGBOOST_DEVICE std::size_t ElementAlignment() const {
|
||||
return this->DispatchCall([](auto *typed_data_ptr) {
|
||||
return std::alignment_of<std::remove_pointer_t<decltype(typed_data_ptr)>>::value;
|
||||
return std::alignment_of_v<std::remove_pointer_t<decltype(typed_data_ptr)>>;
|
||||
});
|
||||
}
|
||||
|
||||
@ -567,9 +567,8 @@ class ArrayInterface {
|
||||
#if defined(XGBOOST_USE_CUDA)
|
||||
// No operator defined for half -> size_t
|
||||
using Type = std::conditional_t<
|
||||
std::is_same<__half,
|
||||
std::remove_cv_t<std::remove_pointer_t<decltype(p_values)>>>::value &&
|
||||
std::is_same<std::size_t, std::remove_cv_t<T>>::value,
|
||||
std::is_same_v<__half, std::remove_cv_t<std::remove_pointer_t<decltype(p_values)>>> &&
|
||||
std::is_same_v<std::size_t, std::remove_cv_t<T>>,
|
||||
unsigned long long, T>; // NOLINT
|
||||
return static_cast<T>(static_cast<Type>(p_values[offset]));
|
||||
#else
|
||||
|
||||
@ -294,16 +294,14 @@ SimpleDMatrix::SimpleDMatrix(AdapterT* adapter, float missing, int nthread,
|
||||
IteratorAdapter<DataIterHandle, XGBCallbackDataIterNext, XGBoostBatchCSR>;
|
||||
// If AdapterT is either IteratorAdapter or FileAdapter type, use the total batch size to
|
||||
// determine the correct number of rows, as offset_vec may be too short
|
||||
if (std::is_same<AdapterT, IteratorAdapterT>::value ||
|
||||
std::is_same<AdapterT, FileAdapter>::value) {
|
||||
if (std::is_same_v<AdapterT, IteratorAdapterT> || std::is_same_v<AdapterT, FileAdapter>) {
|
||||
info_.num_row_ = total_batch_size;
|
||||
// Ensure offset_vec.size() - 1 == [number of rows]
|
||||
while (offset_vec.size() - 1 < total_batch_size) {
|
||||
offset_vec.emplace_back(offset_vec.back());
|
||||
}
|
||||
} else {
|
||||
CHECK((std::is_same<AdapterT, CSCAdapter>::value ||
|
||||
std::is_same<AdapterT, CSCArrayAdapter>::value))
|
||||
CHECK((std::is_same_v<AdapterT, CSCAdapter> || std::is_same_v<AdapterT, CSCArrayAdapter>))
|
||||
<< "Expecting CSCAdapter";
|
||||
info_.num_row_ = offset_vec.size() - 1;
|
||||
}
|
||||
|
||||
@ -344,7 +344,7 @@ class LambdaRankNDCG : public LambdaRankObj<LambdaRankNDCG, ltr::NDCGCache> {
|
||||
common::Span<double const> discount, bst_group_t g) {
|
||||
auto delta = [&](auto y_high, auto y_low, std::size_t rank_high, std::size_t rank_low,
|
||||
bst_group_t g) {
|
||||
static_assert(std::is_floating_point<decltype(y_high)>::value);
|
||||
static_assert(std::is_floating_point_v<decltype(y_high)>);
|
||||
return DeltaNDCG<exp_gain>(y_high, y_low, rank_high, rank_low, inv_IDCG(g), discount);
|
||||
};
|
||||
this->CalcLambdaForGroup<unbiased>(iter, g_predt, g_label, w, g_rank, g, delta, g_gpair);
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/**
|
||||
* Copyright 2019-2023, XGBoost contributors
|
||||
* Copyright 2019-2024, XGBoost contributors
|
||||
*/
|
||||
#include <thrust/copy.h>
|
||||
#include <thrust/device_vector.h>
|
||||
|
||||
@ -41,7 +41,7 @@ XGBOOST_DEVICE float LossChangeMissing(const GradientPairInt64 &scan,
|
||||
template <int kBlockSize>
|
||||
class EvaluateSplitAgent {
|
||||
public:
|
||||
using ArgMaxT = cub::KeyValuePair<int, float>;
|
||||
using ArgMaxT = cub::KeyValuePair<std::uint32_t, float>;
|
||||
using BlockScanT = cub::BlockScan<GradientPairInt64, kBlockSize>;
|
||||
using MaxReduceT = cub::WarpReduce<ArgMaxT>;
|
||||
using SumReduceT = cub::WarpReduce<GradientPairInt64>;
|
||||
|
||||
@ -1,10 +1,10 @@
|
||||
/**
|
||||
* Copyright 2023 by XGBoost Contributors
|
||||
* Copyright 2023-2024, XGBoost Contributors
|
||||
*/
|
||||
#ifndef XGBOOST_TREE_IO_UTILS_H_
|
||||
#define XGBOOST_TREE_IO_UTILS_H_
|
||||
#include <string> // for string
|
||||
#include <type_traits> // for enable_if_t, is_same, conditional_t
|
||||
#include <type_traits> // for enable_if_t, is_same_v, conditional_t
|
||||
#include <vector> // for vector
|
||||
|
||||
#include "xgboost/json.h" // for Json
|
||||
@ -23,26 +23,24 @@ using IndexArrayT = std::conditional_t<feature_is_64, I64ArrayT<typed>, I32Array
|
||||
|
||||
// typed array, not boolean
|
||||
template <typename JT, typename T>
|
||||
std::enable_if_t<!std::is_same<T, Json>::value && !std::is_same<JT, Boolean>::value, T> GetElem(
|
||||
std::enable_if_t<!std::is_same_v<T, Json> && !std::is_same_v<JT, Boolean>, T> GetElem(
|
||||
std::vector<T> const& arr, size_t i) {
|
||||
return arr[i];
|
||||
}
|
||||
// typed array boolean
|
||||
template <typename JT, typename T>
|
||||
std::enable_if_t<!std::is_same<T, Json>::value && std::is_same<T, uint8_t>::value &&
|
||||
std::is_same<JT, Boolean>::value,
|
||||
bool>
|
||||
std::enable_if_t<
|
||||
!std::is_same_v<T, Json> && std::is_same_v<T, uint8_t> && std::is_same_v<JT, Boolean>, bool>
|
||||
GetElem(std::vector<T> const& arr, size_t i) {
|
||||
return arr[i] == 1;
|
||||
}
|
||||
// json array
|
||||
template <typename JT, typename T>
|
||||
std::enable_if_t<
|
||||
std::is_same<T, Json>::value,
|
||||
std::conditional_t<std::is_same<JT, Integer>::value, int64_t,
|
||||
std::conditional_t<std::is_same<Boolean, JT>::value, bool, float>>>
|
||||
std::enable_if_t<std::is_same_v<T, Json>,
|
||||
std::conditional_t<std::is_same_v<JT, Integer>, int64_t,
|
||||
std::conditional_t<std::is_same_v<Boolean, JT>, bool, float>>>
|
||||
GetElem(std::vector<T> const& arr, size_t i) {
|
||||
if (std::is_same<JT, Boolean>::value && !IsA<Boolean>(arr[i])) {
|
||||
if (std::is_same_v<JT, Boolean> && !IsA<Boolean>(arr[i])) {
|
||||
return get<Integer const>(arr[i]) == 1;
|
||||
}
|
||||
return get<JT const>(arr[i]);
|
||||
|
||||
@ -12,7 +12,7 @@
|
||||
#include <iomanip>
|
||||
#include <limits>
|
||||
#include <sstream>
|
||||
#include <type_traits>
|
||||
#include <type_traits> // for is_floating_point_v
|
||||
|
||||
#include "../common/categorical.h" // for GetNodeCats
|
||||
#include "../common/common.h" // for EscapeU8
|
||||
@ -35,7 +35,7 @@ namespace {
|
||||
template <typename Float>
|
||||
std::enable_if_t<std::is_floating_point_v<Float>, std::string> ToStr(Float value) {
|
||||
int32_t constexpr kFloatMaxPrecision = std::numeric_limits<float>::max_digits10;
|
||||
static_assert(std::is_floating_point<Float>::value,
|
||||
static_assert(std::is_floating_point_v<Float>,
|
||||
"Use std::to_string instead for non-floating point values.");
|
||||
std::stringstream ss;
|
||||
ss << std::setprecision(kFloatMaxPrecision) << value;
|
||||
@ -45,7 +45,7 @@ std::enable_if_t<std::is_floating_point_v<Float>, std::string> ToStr(Float value
|
||||
template <typename Float>
|
||||
std::string ToStr(linalg::VectorView<Float> value, bst_target_t limit) {
|
||||
int32_t constexpr kFloatMaxPrecision = std::numeric_limits<float>::max_digits10;
|
||||
static_assert(std::is_floating_point<Float>::value,
|
||||
static_assert(std::is_floating_point_v<Float>,
|
||||
"Use std::to_string instead for non-floating point values.");
|
||||
std::stringstream ss;
|
||||
ss << std::setprecision(kFloatMaxPrecision);
|
||||
@ -1091,8 +1091,8 @@ void LoadModelImpl(Json const& in, TreeParam const& param, std::vector<RTreeNode
|
||||
stats = std::remove_reference_t<decltype(stats)>(n_nodes);
|
||||
nodes = std::remove_reference_t<decltype(nodes)>(n_nodes);
|
||||
|
||||
static_assert(std::is_integral<decltype(GetElem<Integer>(lefts, 0))>::value);
|
||||
static_assert(std::is_floating_point<decltype(GetElem<Number>(loss_changes, 0))>::value);
|
||||
static_assert(std::is_integral_v<decltype(GetElem<Integer>(lefts, 0))>);
|
||||
static_assert(std::is_floating_point_v<decltype(GetElem<Number>(loss_changes, 0))>);
|
||||
|
||||
// Set node
|
||||
for (int32_t i = 0; i < n_nodes; ++i) {
|
||||
|
||||
@ -11,20 +11,28 @@ RUN \
|
||||
apt-get update && \
|
||||
apt-get install -y wget git python3 python3-pip software-properties-common \
|
||||
apt-transport-https ca-certificates gnupg-agent && \
|
||||
apt-get install -y llvm-15 clang-tidy-15 clang-15 libomp-15-dev && \
|
||||
apt-get install -y cmake
|
||||
apt-get install -y ninja-build
|
||||
|
||||
# Install clang-tidy: https://apt.llvm.org/
|
||||
RUN \
|
||||
apt-add-repository "deb http://apt.llvm.org/jammy/ llvm-toolchain-jammy-19 main" && \
|
||||
wget -O llvm-snapshot.gpg.key https://apt.llvm.org/llvm-snapshot.gpg.key && \
|
||||
apt-key add ./llvm-snapshot.gpg.key && \
|
||||
rm llvm-snapshot.gpg.key && \
|
||||
apt-get update && \
|
||||
apt-get install -y clang-tidy-19 clang-19 libomp-19-dev
|
||||
|
||||
# Set default clang-tidy version
|
||||
RUN \
|
||||
update-alternatives --install /usr/bin/clang-tidy clang-tidy /usr/bin/clang-tidy-15 100 && \
|
||||
update-alternatives --install /usr/bin/clang clang /usr/bin/clang-15 100
|
||||
update-alternatives --install /usr/bin/clang-tidy clang-tidy /usr/bin/clang-tidy-19 100 && \
|
||||
update-alternatives --install /usr/bin/clang clang /usr/bin/clang-19 100
|
||||
|
||||
RUN \
|
||||
apt-get install libgtest-dev libgmock-dev -y
|
||||
|
||||
# Install Python packages
|
||||
RUN \
|
||||
pip3 install pyyaml
|
||||
pip3 install cmake
|
||||
|
||||
ENV GOSU_VERSION=1.10
|
||||
|
||||
|
||||
@ -16,6 +16,8 @@ class LintersPaths:
|
||||
BLACK = (
|
||||
# core
|
||||
"python-package/",
|
||||
# CI
|
||||
"tests/ci_build/tidy.py",
|
||||
# tests
|
||||
"tests/python/test_config.py",
|
||||
"tests/python/test_callback.py",
|
||||
@ -119,6 +121,7 @@ class LintersPaths:
|
||||
"demo/guide-python/learning_to_rank.py",
|
||||
"demo/aft_survival/aft_survival_viz_demo.py",
|
||||
# CI
|
||||
"tests/ci_build/tidy.py",
|
||||
"tests/ci_build/lint_python.py",
|
||||
"tests/ci_build/test_r_package.py",
|
||||
"tests/ci_build/test_utils.py",
|
||||
|
||||
@ -1,4 +1,6 @@
|
||||
#!/usr/bin/env python
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import json
|
||||
import os
|
||||
@ -9,20 +11,17 @@ import sys
|
||||
from multiprocessing import Pool, cpu_count
|
||||
from time import time
|
||||
|
||||
import yaml
|
||||
|
||||
def call(args: list[str]) -> tuple[int, int, str, list[str]]:
|
||||
"""Subprocess run wrapper."""
|
||||
completed = subprocess.run(args, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
|
||||
error_msg = completed.stdout.decode("utf-8")
|
||||
# `workspace` is a name used in the CI container. Normally we should keep the dir
|
||||
# as `xgboost`.
|
||||
matched = re.search(
|
||||
"(workspace|xgboost)/.*(src|tests|include)/.*warning:", error_msg, re.MULTILINE
|
||||
)
|
||||
|
||||
def call(args):
|
||||
'''Subprocess run wrapper.'''
|
||||
completed = subprocess.run(args,
|
||||
stdout=subprocess.PIPE,
|
||||
stderr=subprocess.PIPE)
|
||||
error_msg = completed.stdout.decode('utf-8')
|
||||
# `workspace` is a name used in Jenkins CI. Normally we should keep the
|
||||
# dir as `xgboost`.
|
||||
matched = re.search('(workspace|xgboost)/.*(src|tests|include)/.*warning:',
|
||||
error_msg,
|
||||
re.MULTILINE)
|
||||
if matched is None:
|
||||
return_code = 0
|
||||
else:
|
||||
@ -30,195 +29,203 @@ def call(args):
|
||||
return (completed.returncode, return_code, error_msg, args)
|
||||
|
||||
|
||||
class ClangTidy(object):
|
||||
''' clang tidy wrapper.
|
||||
class ClangTidy:
|
||||
"""clang tidy wrapper.
|
||||
Args:
|
||||
args: Command line arguments.
|
||||
cpp_lint: Run linter on C++ source code.
|
||||
cuda_lint: Run linter on CUDA source code.
|
||||
use_dmlc_gtest: Whether to use gtest bundled in dmlc-core.
|
||||
'''
|
||||
def __init__(self, args):
|
||||
"""
|
||||
|
||||
def __init__(self, args: argparse.Namespace) -> None:
|
||||
self.cpp_lint = args.cpp
|
||||
self.cuda_lint = args.cuda
|
||||
self.use_dmlc_gtest: bool = args.use_dmlc_gtest
|
||||
self.cuda_archs = args.cuda_archs.copy() if args.cuda_archs else []
|
||||
|
||||
if args.tidy_version:
|
||||
self.exe = 'clang-tidy-' + str(args.tidy_version)
|
||||
self.exe = "clang-tidy-" + str(args.tidy_version)
|
||||
else:
|
||||
self.exe = 'clang-tidy'
|
||||
self.exe = "clang-tidy"
|
||||
|
||||
print('Run linter on CUDA: ', self.cuda_lint)
|
||||
print('Run linter on C++:', self.cpp_lint)
|
||||
print('Use dmlc gtest:', self.use_dmlc_gtest)
|
||||
print('CUDA archs:', ' '.join(self.cuda_archs))
|
||||
print("Run linter on CUDA: ", self.cuda_lint)
|
||||
print("Run linter on C++:", self.cpp_lint)
|
||||
print("Use dmlc gtest:", self.use_dmlc_gtest)
|
||||
print("CUDA archs:", " ".join(self.cuda_archs))
|
||||
|
||||
if not self.cpp_lint and not self.cuda_lint:
|
||||
raise ValueError('Both --cpp and --cuda are set to 0.')
|
||||
raise ValueError("Both --cpp and --cuda are set to 0.")
|
||||
self.root_path = os.path.abspath(os.path.curdir)
|
||||
print('Project root:', self.root_path)
|
||||
self.cdb_path = os.path.join(self.root_path, 'cdb')
|
||||
print("Project root:", self.root_path)
|
||||
self.cdb_path = os.path.join(self.root_path, "cdb")
|
||||
|
||||
def __enter__(self):
|
||||
def __enter__(self) -> "ClangTidy":
|
||||
self.start = time()
|
||||
if os.path.exists(self.cdb_path):
|
||||
shutil.rmtree(self.cdb_path)
|
||||
self._generate_cdb()
|
||||
return self
|
||||
|
||||
def __exit__(self, *args):
|
||||
def __exit__(self, *args: list) -> None:
|
||||
if os.path.exists(self.cdb_path):
|
||||
shutil.rmtree(self.cdb_path)
|
||||
self.end = time()
|
||||
print('Finish running clang-tidy:', self.end - self.start)
|
||||
print("Finish running clang-tidy:", self.end - self.start)
|
||||
|
||||
def _generate_cdb(self):
|
||||
'''Run CMake to generate compilation database.'''
|
||||
def _generate_cdb(self) -> None:
|
||||
"""Run CMake to generate compilation database."""
|
||||
os.mkdir(self.cdb_path)
|
||||
os.chdir(self.cdb_path)
|
||||
cmake_args = ['cmake', '..', '-DCMAKE_EXPORT_COMPILE_COMMANDS=ON',
|
||||
'-DGOOGLE_TEST=ON']
|
||||
cmake_args = [
|
||||
"cmake",
|
||||
self.root_path,
|
||||
"-GNinja", # prevents cmake from using --option-files for include path.
|
||||
"-DCMAKE_EXPORT_COMPILE_COMMANDS=ON",
|
||||
"-DGOOGLE_TEST=ON",
|
||||
"-DCMAKE_CXX_FLAGS='-Wno-clang-diagnostic-deprecated-declarations'",
|
||||
]
|
||||
if self.use_dmlc_gtest:
|
||||
cmake_args.append('-DUSE_DMLC_GTEST=ON')
|
||||
cmake_args.append("-DUSE_DMLC_GTEST=ON")
|
||||
else:
|
||||
cmake_args.append('-DUSE_DMLC_GTEST=OFF')
|
||||
cmake_args.append("-DUSE_DMLC_GTEST=OFF")
|
||||
|
||||
if self.cuda_lint:
|
||||
cmake_args.extend(['-DUSE_CUDA=ON', '-DUSE_NCCL=ON'])
|
||||
cmake_args.extend(["-DUSE_CUDA=ON", "-DUSE_NCCL=ON"])
|
||||
if self.cuda_archs:
|
||||
arch_list = ';'.join(self.cuda_archs)
|
||||
cmake_args.append(f'-DGPU_COMPUTE_VER={arch_list}')
|
||||
arch_list = ";".join(self.cuda_archs)
|
||||
cmake_args.append(f"-DCMAKE_CUDA_ARCHITECTURES={arch_list}")
|
||||
subprocess.run(cmake_args)
|
||||
os.chdir(self.root_path)
|
||||
|
||||
def convert_nvcc_command_to_clang(self, command):
|
||||
'''Convert nvcc flags to corresponding clang flags.'''
|
||||
def convert_nvcc_command_to_clang(self, command: str) -> str:
|
||||
"""Convert nvcc flags to corresponding clang flags."""
|
||||
components = command.split()
|
||||
compiler: str = components[0]
|
||||
if compiler.find('nvcc') != -1:
|
||||
compiler = 'clang++'
|
||||
if compiler.find("nvcc") != -1:
|
||||
compiler = "clang++"
|
||||
components[0] = compiler
|
||||
# check each component in a command
|
||||
converted_components = [compiler]
|
||||
|
||||
for i in range(1, len(components)):
|
||||
if components[i] == '-lineinfo':
|
||||
if components[i] == "-lineinfo":
|
||||
continue
|
||||
elif components[i] == '-fuse-ld=gold':
|
||||
elif components[i] == "-fuse-ld=gold":
|
||||
continue
|
||||
elif components[i] == '-rdynamic':
|
||||
elif components[i] == "-fuse-ld=lld":
|
||||
continue
|
||||
elif components[i].find("--default-stream") != -1:
|
||||
continue
|
||||
elif components[i] == "-rdynamic":
|
||||
continue
|
||||
elif components[i] == "-Xfatbin=-compress-all":
|
||||
continue
|
||||
elif components[i] == "-forward-unknown-to-host-compiler":
|
||||
continue
|
||||
elif (components[i] == '-x' and
|
||||
components[i+1] == 'cu'):
|
||||
elif components[i] == "-x" and components[i + 1] == "cu":
|
||||
# -x cu -> -x cuda
|
||||
converted_components.append('-x')
|
||||
converted_components.append('cuda')
|
||||
components[i+1] = ''
|
||||
converted_components.append("-x")
|
||||
converted_components.append("cuda")
|
||||
components[i + 1] = ""
|
||||
continue
|
||||
elif components[i].find('-Xcompiler') != -1:
|
||||
elif components[i].find("-Xcompiler") != -1:
|
||||
continue
|
||||
elif components[i].find('--expt') != -1:
|
||||
elif components[i].find("--expt-") != -1:
|
||||
continue
|
||||
elif components[i].find('-ccbin') != -1:
|
||||
elif components[i].find("-ccbin") != -1:
|
||||
continue
|
||||
elif components[i].find('--generate-code') != -1:
|
||||
keyword = 'code=sm'
|
||||
elif components[i].find("--generate-code") != -1:
|
||||
keyword = "code=sm"
|
||||
pos = components[i].find(keyword)
|
||||
capability = components[i][pos + len(keyword) + 1:
|
||||
pos + len(keyword) + 3]
|
||||
capability = components[i][
|
||||
pos + len(keyword) + 1 : pos + len(keyword) + 3
|
||||
]
|
||||
if pos != -1:
|
||||
converted_components.append(
|
||||
'--cuda-gpu-arch=sm_' + capability)
|
||||
elif components[i].find('--std=c++14') != -1:
|
||||
converted_components.append('-std=c++14')
|
||||
elif components[i].startswith('-isystem='):
|
||||
converted_components.extend(components[i].split('='))
|
||||
converted_components.append("--cuda-gpu-arch=sm_" + capability)
|
||||
elif components[i].find("--std=c++14") != -1:
|
||||
converted_components.append("-std=c++14")
|
||||
elif components[i].startswith("-isystem="):
|
||||
converted_components.extend(components[i].split("="))
|
||||
else:
|
||||
converted_components.append(components[i])
|
||||
|
||||
converted_components.append('-isystem /usr/local/cuda/include/')
|
||||
converted_components.append("-isystem /usr/local/cuda/include/")
|
||||
|
||||
command = ''
|
||||
command = ""
|
||||
for c in converted_components:
|
||||
command = command + ' ' + c
|
||||
command = command + " " + c
|
||||
command = command.strip()
|
||||
return command
|
||||
|
||||
def _configure_flags(self, path, command):
|
||||
src = os.path.join(self.root_path, 'src')
|
||||
src = src.replace('/', '\\/')
|
||||
include = os.path.join(self.root_path, 'include')
|
||||
include = include.replace('/', '\\/')
|
||||
def _configure_flags(self, path: str, command: str) -> list[list[str]]:
|
||||
src = os.path.join(self.root_path, "src").replace("/", "\\/")
|
||||
include = os.path.join(self.root_path, "include").replace("/", "\\/")
|
||||
|
||||
header_filter = '(' + src + '|' + include + ')'
|
||||
common_args = [self.exe,
|
||||
"-header-filter=" + header_filter,
|
||||
'-config='+self.clang_tidy]
|
||||
common_args.append(path)
|
||||
common_args.append('--')
|
||||
header_filter = "(" + src + "|" + include + ")"
|
||||
common_args = [
|
||||
self.exe,
|
||||
path,
|
||||
"--header-filter=" + header_filter,
|
||||
"--config-file=" + self.tidy_file,
|
||||
]
|
||||
common_args.append("--")
|
||||
command = self.convert_nvcc_command_to_clang(command)
|
||||
|
||||
command = command.split()[1:] # remove clang/c++/g++
|
||||
if '-c' in command:
|
||||
index = command.index('-c')
|
||||
del command[index+1]
|
||||
command.remove('-c')
|
||||
if '-o' in command:
|
||||
index = command.index('-o')
|
||||
del command[index+1]
|
||||
command.remove('-o')
|
||||
command_split = command.split()[1:] # remove clang/c++/g++
|
||||
if "-c" in command_split:
|
||||
index = command_split.index("-c")
|
||||
del command_split[index + 1]
|
||||
command_split.remove("-c")
|
||||
if "-o" in command_split:
|
||||
index = command_split.index("-o")
|
||||
del command_split[index + 1]
|
||||
command_split.remove("-o")
|
||||
|
||||
common_args.extend(command)
|
||||
common_args.extend(command_split)
|
||||
|
||||
# Two passes, one for device code another for host code.
|
||||
if path.endswith('cu'):
|
||||
if path.endswith("cu"):
|
||||
args = [common_args.copy(), common_args.copy()]
|
||||
args[0].append('--cuda-host-only')
|
||||
args[1].append('--cuda-device-only')
|
||||
args[0].append("--cuda-host-only")
|
||||
args[1].append("--cuda-device-only")
|
||||
else:
|
||||
args = [common_args.copy()]
|
||||
for a in args:
|
||||
a.append('-Wno-unused-command-line-argument')
|
||||
a.append("-Wno-unused-command-line-argument")
|
||||
return args
|
||||
|
||||
def _configure(self):
|
||||
'''Load and configure compile_commands and clang_tidy.'''
|
||||
def _configure(self) -> list[list[str]]:
|
||||
"""Load and configure compile_commands and clang_tidy."""
|
||||
|
||||
def should_lint(path):
|
||||
if not self.cpp_lint and path.endswith('.cc'):
|
||||
def should_lint(path: str) -> bool:
|
||||
if not self.cpp_lint and path.endswith(".cc"):
|
||||
return False
|
||||
isxgb = path.find('dmlc-core') == -1
|
||||
isxgb = path.find("dmlc-core") == -1
|
||||
isxgb = isxgb and (not path.startswith(self.cdb_path))
|
||||
if isxgb:
|
||||
print(path)
|
||||
return True
|
||||
return False
|
||||
|
||||
cdb_file = os.path.join(self.cdb_path, 'compile_commands.json')
|
||||
with open(cdb_file, 'r') as fd:
|
||||
cdb_file = os.path.join(self.cdb_path, "compile_commands.json")
|
||||
with open(cdb_file, "r") as fd:
|
||||
self.compile_commands = json.load(fd)
|
||||
|
||||
tidy_file = os.path.join(self.root_path, '.clang-tidy')
|
||||
with open(tidy_file) as fd:
|
||||
self.clang_tidy = yaml.safe_load(fd)
|
||||
self.clang_tidy = str(self.clang_tidy)
|
||||
self.tidy_file = os.path.join(self.root_path, ".clang-tidy")
|
||||
all_files = []
|
||||
for entry in self.compile_commands:
|
||||
path = entry['file']
|
||||
path = entry["file"]
|
||||
if should_lint(path):
|
||||
args = self._configure_flags(path, entry['command'])
|
||||
args = self._configure_flags(path, entry["command"])
|
||||
all_files.extend(args)
|
||||
return all_files
|
||||
|
||||
def run(self):
|
||||
'''Run clang-tidy.'''
|
||||
def run(self) -> bool:
|
||||
"""Run clang-tidy."""
|
||||
all_files = self._configure()
|
||||
passed = True
|
||||
BAR = '-'*32
|
||||
BAR = "-" * 32
|
||||
with Pool(cpu_count()) as pool:
|
||||
results = pool.map(call, all_files)
|
||||
for i, (process_status, tidy_status, msg, args) in enumerate(results):
|
||||
@ -226,54 +233,50 @@ class ClangTidy(object):
|
||||
# for cub in thrust is not correct.
|
||||
if tidy_status == 1:
|
||||
passed = False
|
||||
print(BAR, '\n'
|
||||
'Command args:', ' '.join(args), ', ',
|
||||
'Process return code:', process_status, ', ',
|
||||
'Tidy result code:', tidy_status, ', ',
|
||||
'Message:\n', msg,
|
||||
BAR, '\n')
|
||||
print(
|
||||
BAR,
|
||||
"\n" "Command args:",
|
||||
" ".join(args),
|
||||
", ",
|
||||
"Process return code:",
|
||||
process_status,
|
||||
", ",
|
||||
"Tidy result code:",
|
||||
tidy_status,
|
||||
", ",
|
||||
"Message:\n",
|
||||
msg,
|
||||
BAR,
|
||||
"\n",
|
||||
)
|
||||
if not passed:
|
||||
print('Errors in `thrust` namespace can be safely ignored.',
|
||||
'Please address rest of the clang-tidy warnings.')
|
||||
print(
|
||||
"Errors in `thrust` namespace can be safely ignored.",
|
||||
"Please address rest of the clang-tidy warnings.",
|
||||
)
|
||||
return passed
|
||||
|
||||
|
||||
def test_tidy(args):
|
||||
'''See if clang-tidy and our regex is working correctly. There are
|
||||
many subtleties we need to be careful. For instances:
|
||||
def test_tidy(args: argparse.Namespace) -> None:
|
||||
"""See if clang-tidy and our regex is working correctly. There are many subtleties
|
||||
we need to be careful. Tests here are not thorough, at least we want to guarantee
|
||||
tidy is not missing anything on the CI.
|
||||
|
||||
* Is the string re-directed to pipe encoded as UTF-8? or is it
|
||||
bytes?
|
||||
|
||||
* On Jenkins there's no 'xgboost' directory, are we catching the
|
||||
right keywords?
|
||||
|
||||
* Should we use re.DOTALL?
|
||||
|
||||
* Should we use re.MULTILINE?
|
||||
|
||||
Tests here are not thorough, at least we want to guarantee tidy is
|
||||
not missing anything on Jenkins.
|
||||
|
||||
'''
|
||||
"""
|
||||
root_path = os.path.abspath(os.path.curdir)
|
||||
tidy_file = os.path.join(root_path, '.clang-tidy')
|
||||
test_file_path = os.path.join(root_path,
|
||||
'tests', 'ci_build', 'test_tidy.cc')
|
||||
tidy_file = os.path.join(root_path, ".clang-tidy")
|
||||
test_file_path = os.path.join(root_path, "tests", "ci_build", "test_tidy.cc")
|
||||
|
||||
with open(tidy_file) as fd:
|
||||
tidy_config = fd.read()
|
||||
tidy_config = str(tidy_config)
|
||||
tidy_config = '-config='+tidy_config
|
||||
tidy_config = "--config-file=" + tidy_file
|
||||
if not args.tidy_version:
|
||||
tidy = 'clang-tidy'
|
||||
tidy = "clang-tidy"
|
||||
else:
|
||||
tidy = 'clang-tidy-' + str(args.tidy_version)
|
||||
args = [tidy, tidy_config, test_file_path]
|
||||
(proc_code, tidy_status, error_msg, _) = call(args)
|
||||
tidy = "clang-tidy-" + str(args.tidy_version)
|
||||
cmd = [tidy, tidy_config, test_file_path]
|
||||
(proc_code, tidy_status, error_msg, _) = call(cmd)
|
||||
assert proc_code == 0
|
||||
assert tidy_status == 1
|
||||
print('clang-tidy is working.')
|
||||
print("clang-tidy is working.")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
@ -1,3 +1,6 @@
|
||||
/**
|
||||
* Copyright 2020-2024, XGBoost contributors
|
||||
*/
|
||||
#include <gtest/gtest.h>
|
||||
#include <xgboost/intrusive_ptr.h>
|
||||
|
||||
@ -12,10 +15,8 @@ class NotCopyConstructible {
|
||||
NotCopyConstructible &operator=(NotCopyConstructible const &that) = delete;
|
||||
NotCopyConstructible(NotCopyConstructible&& that) = default;
|
||||
};
|
||||
static_assert(
|
||||
!std::is_trivially_copy_constructible<NotCopyConstructible>::value);
|
||||
static_assert(
|
||||
!std::is_trivially_copy_assignable<NotCopyConstructible>::value);
|
||||
static_assert(!std::is_trivially_copy_constructible_v<NotCopyConstructible>);
|
||||
static_assert(!std::is_trivially_copy_assignable_v<NotCopyConstructible>);
|
||||
|
||||
class ForIntrusivePtrTest {
|
||||
public:
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/**
|
||||
* Copyright 2018-2023, XGBoost contributors
|
||||
* Copyright 2018-2024, XGBoost contributors
|
||||
*/
|
||||
#include "test_span.h"
|
||||
|
||||
@ -174,19 +174,11 @@ TEST(Span, FromFirstLast) {
|
||||
}
|
||||
}
|
||||
|
||||
struct BaseClass {
|
||||
virtual void operator()() {}
|
||||
};
|
||||
struct DerivedClass : public BaseClass {
|
||||
void operator()() override {}
|
||||
};
|
||||
|
||||
TEST(Span, FromOther) {
|
||||
|
||||
// convert constructor
|
||||
{
|
||||
Span<DerivedClass> derived;
|
||||
Span<BaseClass> base { derived };
|
||||
Span<int> derived;
|
||||
Span<int const> base{derived};
|
||||
ASSERT_EQ(base.size(), derived.size());
|
||||
ASSERT_EQ(base.data(), derived.data());
|
||||
}
|
||||
|
||||
@ -93,11 +93,11 @@ TEST(Adapter, CSCAdapterColsMoreThanRows) {
|
||||
|
||||
// A mock for JVM data iterator.
|
||||
class CSRIterForTest {
|
||||
std::vector<float> data_ {1, 2, 3, 4, 5};
|
||||
std::vector<std::remove_pointer<decltype(std::declval<XGBoostBatchCSR>().index)>::type>
|
||||
feature_idx_ {0, 1, 0, 1, 1};
|
||||
std::vector<std::remove_pointer<decltype(std::declval<XGBoostBatchCSR>().offset)>::type>
|
||||
row_ptr_ {0, 2, 4, 5, 5};
|
||||
std::vector<float> data_{1, 2, 3, 4, 5};
|
||||
std::vector<std::remove_pointer_t<decltype(std::declval<XGBoostBatchCSR>().index)>> feature_idx_{
|
||||
0, 1, 0, 1, 1};
|
||||
std::vector<std::remove_pointer_t<decltype(std::declval<XGBoostBatchCSR>().offset)>> row_ptr_{
|
||||
0, 2, 4, 5, 5};
|
||||
size_t iter_ {0};
|
||||
|
||||
public:
|
||||
|
||||
@ -49,7 +49,7 @@ void TestSparseDMatrixLoadFile(Context const* ctx) {
|
||||
1};
|
||||
Page out;
|
||||
for (auto const &page : m.GetBatches<Page>(ctx)) {
|
||||
if (std::is_same<Page, SparsePage>::value) {
|
||||
if (std::is_same_v<Page, SparsePage>) {
|
||||
out.Push(page);
|
||||
} else {
|
||||
out.PushCSC(page);
|
||||
@ -89,7 +89,7 @@ void TestRetainPage() {
|
||||
for (auto it = begin; it != end; ++it) {
|
||||
iterators.push_back(it.Page());
|
||||
pages.emplace_back(Page{});
|
||||
if (std::is_same<Page, SparsePage>::value) {
|
||||
if (std::is_same_v<Page, SparsePage>) {
|
||||
pages.back().Push(*it);
|
||||
} else {
|
||||
pages.back().PushCSC(*it);
|
||||
@ -105,7 +105,7 @@ void TestRetainPage() {
|
||||
|
||||
// make sure it's const and the caller can not modify the content of page.
|
||||
for (auto &page : p_fmat->GetBatches<Page>({&ctx})) {
|
||||
static_assert(std::is_const<std::remove_reference_t<decltype(page)>>::value);
|
||||
static_assert(std::is_const_v<std::remove_reference_t<decltype(page)>>);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@ -166,7 +166,7 @@ TEST(SparsePageDMatrix, RetainEllpackPage) {
|
||||
|
||||
// make sure it's const and the caller can not modify the content of page.
|
||||
for (auto& page : m->GetBatches<EllpackPage>(&ctx, param)) {
|
||||
static_assert(std::is_const<std::remove_reference_t<decltype(page)>>::value);
|
||||
static_assert(std::is_const_v<std::remove_reference_t<decltype(page)>>);
|
||||
}
|
||||
|
||||
// The above iteration clears out all references inside DMatrix.
|
||||
|
||||
@ -62,7 +62,7 @@ void TestPartitioner(bst_target_t n_targets) {
|
||||
auto ptr = gmat.cut.Ptrs()[split_ind + 1];
|
||||
float split_value = gmat.cut.Values().at(ptr / 2);
|
||||
RegTree tree{n_targets, n_features};
|
||||
if constexpr (std::is_same<ExpandEntry, CPUExpandEntry>::value) {
|
||||
if constexpr (std::is_same_v<ExpandEntry, CPUExpandEntry>) {
|
||||
GetSplit(&tree, split_value, &candidates);
|
||||
} else {
|
||||
GetMultiSplitForTest(&tree, split_value, &candidates);
|
||||
@ -119,7 +119,7 @@ void VerifyColumnSplitPartitioner(bst_target_t n_targets, size_t n_samples,
|
||||
{
|
||||
RegTree tree{n_targets, n_features};
|
||||
CommonRowPartitioner partitioner{&ctx, n_samples, base_rowid, true};
|
||||
if constexpr (std::is_same<ExpandEntry, CPUExpandEntry>::value) {
|
||||
if constexpr (std::is_same_v<ExpandEntry, CPUExpandEntry>) {
|
||||
GetSplit(&tree, min_value, &candidates);
|
||||
} else {
|
||||
GetMultiSplitForTest(&tree, min_value, &candidates);
|
||||
@ -132,7 +132,7 @@ void VerifyColumnSplitPartitioner(bst_target_t n_targets, size_t n_samples,
|
||||
{
|
||||
RegTree tree{n_targets, n_features};
|
||||
CommonRowPartitioner partitioner{&ctx, n_samples, base_rowid, true};
|
||||
if constexpr (std::is_same<ExpandEntry, CPUExpandEntry>::value) {
|
||||
if constexpr (std::is_same_v<ExpandEntry, CPUExpandEntry>) {
|
||||
GetSplit(&tree, mid_value, &candidates);
|
||||
} else {
|
||||
GetMultiSplitForTest(&tree, mid_value, &candidates);
|
||||
@ -187,7 +187,7 @@ void TestColumnSplitPartitioner(bst_target_t n_targets) {
|
||||
auto ptr = gmat.cut.Ptrs()[split_ind + 1];
|
||||
mid_value = gmat.cut.Values().at(ptr / 2);
|
||||
RegTree tree{n_targets, n_features};
|
||||
if constexpr (std::is_same<ExpandEntry, CPUExpandEntry>::value) {
|
||||
if constexpr (std::is_same_v<ExpandEntry, CPUExpandEntry>) {
|
||||
GetSplit(&tree, mid_value, &candidates);
|
||||
} else {
|
||||
GetMultiSplitForTest(&tree, mid_value, &candidates);
|
||||
|
||||
Loading…
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Reference in New Issue
Block a user