Reduced some C++ compiler warnings (#6197)
* Removed some warnings * Rebase with master * Solved C++ Google Tests errors made by refactoring in order to remove warnings * Undo renaming path -> path_ * Fix style check Co-authored-by: Hyunsu Cho <chohyu01@cs.washington.edu>
This commit is contained in:
parent
c80657b542
commit
b181a88f9f
@ -84,7 +84,7 @@ class JsonString : public Value {
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Value(ValueKind::kString), str_{str} {}
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JsonString(std::string&& str) : // NOLINT
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Value(ValueKind::kString), str_{std::move(str)} {}
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JsonString(JsonString&& str) : // NOLINT
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JsonString(JsonString&& str) noexcept : // NOLINT
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Value(ValueKind::kString), str_{std::move(str.str_)} {}
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void Save(JsonWriter* writer) override;
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@ -179,7 +179,7 @@ class JsonNumber : public Value {
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JsonNumber(FloatT value) : Value{ValueKind::kNumber}, // NOLINT
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number_{static_cast<Float>(value)} {}
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JsonNumber(JsonNumber const& that) = delete;
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JsonNumber(JsonNumber&& that) : Value{ValueKind::kNumber}, number_{that.number_} {}
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JsonNumber(JsonNumber&& that) noexcept : Value{ValueKind::kNumber}, number_{that.number_} {}
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void Save(JsonWriter* writer) override;
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@ -227,7 +227,7 @@ class JsonInteger : public Value {
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: Value(ValueKind::kInteger),
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integer_{static_cast<Int>(value)} {}
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JsonInteger(JsonInteger &&that)
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JsonInteger(JsonInteger &&that) noexcept
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: Value{ValueKind::kInteger}, integer_{that.integer_} {}
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Json& operator[](std::string const & key) override;
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@ -250,7 +250,7 @@ class JsonNull : public Value {
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public:
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JsonNull() : Value(ValueKind::kNull) {}
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JsonNull(std::nullptr_t) : Value(ValueKind::kNull) {} // NOLINT
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JsonNull(JsonNull&&) : Value(ValueKind::kNull) {}
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JsonNull(JsonNull&&) noexcept : Value(ValueKind::kNull) {}
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void Save(JsonWriter* writer) override;
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@ -267,7 +267,7 @@ class JsonNull : public Value {
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/*! \brief Describes both true and false. */
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class JsonBoolean : public Value {
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bool boolean_;
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bool boolean_ = false;
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public:
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JsonBoolean() : Value(ValueKind::kBoolean) {} // NOLINT
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@ -278,7 +278,7 @@ class JsonBoolean : public 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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JsonBoolean(JsonBoolean&& 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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void Save(JsonWriter* writer) override;
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@ -26,10 +26,10 @@ struct FHelper {
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template<typename DType>
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struct FHelper<op::BitOR, DType> {
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static void
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Allreduce(DType *senrecvbuf_,
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size_t count,
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void (*prepare_fun)(void *arg),
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void *prepare_arg) {
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Allreduce(DType *,
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size_t ,
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void (*)(void *arg),
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void *) {
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utils::Error("DataType does not support bitwise or operation");
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}
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};
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@ -196,7 +196,7 @@ struct ReadWrapper : public Serializable {
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"Read pickle string");
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}
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}
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void Save(Stream *fo) const override {
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void Save(Stream *) const override {
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utils::Error("not implemented");
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}
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};
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@ -208,7 +208,7 @@ struct WriteWrapper : public Serializable {
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size_t length)
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: data(data), length(length) {
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}
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void Load(Stream *fi) override {
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void Load(Stream *) override {
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utils::Error("not implemented");
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}
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void Save(Stream *fo) const override {
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@ -96,8 +96,8 @@ void Allreduce_(void *sendrecvbuf, // NOLINT
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size_t type_nbytes,
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size_t count,
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IEngine::ReduceFunction red,
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mpi::DataType dtype,
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mpi::OpType op,
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mpi::DataType,
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mpi::OpType ,
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IEngine::PreprocFunction prepare_fun,
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void *prepare_arg) {
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GetEngine()->Allreduce(sendrecvbuf, type_nbytes, count, red, prepare_fun,
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@ -112,7 +112,7 @@ int ReduceHandle::TypeSize(const MPI::Datatype &dtype) {
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return static_cast<int>(dtype.type_size);
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}
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void ReduceHandle::Init(IEngine::ReduceFunction redfunc, size_t type_nbytes) {
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void ReduceHandle::Init(IEngine::ReduceFunction redfunc, size_t ) {
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utils::Assert(redfunc_ == nullptr, "cannot initialize reduce handle twice");
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redfunc_ = redfunc;
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}
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@ -33,19 +33,19 @@ struct HostDeviceVectorImpl {
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};
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template <typename T>
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HostDeviceVector<T>::HostDeviceVector(size_t size, T v, int device)
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HostDeviceVector<T>::HostDeviceVector(size_t size, T v, int)
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: impl_(nullptr) {
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impl_ = new HostDeviceVectorImpl<T>(size, v);
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}
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template <typename T>
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HostDeviceVector<T>::HostDeviceVector(std::initializer_list<T> init, int device)
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HostDeviceVector<T>::HostDeviceVector(std::initializer_list<T> init, int)
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: impl_(nullptr) {
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impl_ = new HostDeviceVectorImpl<T>(init);
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}
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template <typename T>
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HostDeviceVector<T>::HostDeviceVector(const std::vector<T>& init, int device)
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HostDeviceVector<T>::HostDeviceVector(const std::vector<T>& init, int)
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: impl_(nullptr) {
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impl_ = new HostDeviceVectorImpl<T>(init);
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}
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@ -166,7 +166,7 @@ bool HostDeviceVector<T>::DeviceCanWrite() const {
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}
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template <typename T>
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void HostDeviceVector<T>::SetDevice(int device) const {}
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void HostDeviceVector<T>::SetDevice(int) const {}
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// explicit instantiations are required, as HostDeviceVector isn't header-only
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template class HostDeviceVector<bst_float>;
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@ -76,7 +76,7 @@ void JsonWriter::Visit(JsonInteger const* num) {
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std::memcpy(stream_->data() + ori_size, i2s_buffer_, digits);
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}
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void JsonWriter::Visit(JsonNull const* null) {
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void JsonWriter::Visit(JsonNull const* ) {
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auto s = stream_->size();
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stream_->resize(s + 4);
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auto& buf = (*stream_);
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@ -179,7 +179,7 @@ Json& JsonObject::operator[](std::string const & key) {
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return object_[key];
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}
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Json& JsonObject::operator[](int ind) {
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Json& JsonObject::operator[](int ) {
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LOG(FATAL) << "Object of type "
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<< Value::TypeStr() << " can not be indexed by Integer.";
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return DummyJsonObject();
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@ -203,13 +203,13 @@ void JsonObject::Save(JsonWriter* writer) {
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}
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// Json String
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Json& JsonString::operator[](std::string const & key) {
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Json& JsonString::operator[](std::string const& ) {
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LOG(FATAL) << "Object of type "
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<< Value::TypeStr() << " can not be indexed by string.";
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return DummyJsonObject();
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}
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Json& JsonString::operator[](int ind) {
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Json& JsonString::operator[](int ) {
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LOG(FATAL) << "Object of type "
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<< Value::TypeStr() << " can not be indexed by Integer."
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<< " Please try obtaining std::string first.";
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@ -236,7 +236,7 @@ void JsonString::Save(JsonWriter* writer) {
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JsonArray::JsonArray(JsonArray && that) :
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Value(ValueKind::kArray), vec_{std::move(that.vec_)} {}
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Json& JsonArray::operator[](std::string const & key) {
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Json& JsonArray::operator[](std::string const& ) {
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LOG(FATAL) << "Object of type "
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<< Value::TypeStr() << " can not be indexed by string.";
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return DummyJsonObject();
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@ -263,13 +263,13 @@ void JsonArray::Save(JsonWriter* writer) {
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}
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// Json Number
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Json& JsonNumber::operator[](std::string const & key) {
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Json& JsonNumber::operator[](std::string const& ) {
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LOG(FATAL) << "Object of type "
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<< Value::TypeStr() << " can not be indexed by string.";
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return DummyJsonObject();
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}
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Json& JsonNumber::operator[](int ind) {
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Json& JsonNumber::operator[](int ) {
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LOG(FATAL) << "Object of type "
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<< Value::TypeStr() << " can not be indexed by Integer.";
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return DummyJsonObject();
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@ -298,13 +298,13 @@ void JsonNumber::Save(JsonWriter* writer) {
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}
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// Json Integer
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Json& JsonInteger::operator[](std::string const& key) {
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Json& JsonInteger::operator[](std::string const& ) {
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LOG(FATAL) << "Object of type "
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<< Value::TypeStr() << " can not be indexed by string.";
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return DummyJsonObject();
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}
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Json& JsonInteger::operator[](int ind) {
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Json& JsonInteger::operator[](int ) {
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LOG(FATAL) << "Object of type "
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<< Value::TypeStr() << " can not be indexed by Integer.";
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return DummyJsonObject();
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@ -326,13 +326,13 @@ void JsonInteger::Save(JsonWriter* writer) {
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}
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// Json Null
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Json& JsonNull::operator[](std::string const & key) {
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Json& JsonNull::operator[](std::string const& ) {
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LOG(FATAL) << "Object of type "
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<< Value::TypeStr() << " can not be indexed by string.";
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return DummyJsonObject();
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}
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Json& JsonNull::operator[](int ind) {
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Json& JsonNull::operator[](int ) {
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LOG(FATAL) << "Object of type "
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<< Value::TypeStr() << " can not be indexed by Integer.";
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return DummyJsonObject();
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@ -353,13 +353,13 @@ void JsonNull::Save(JsonWriter* writer) {
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}
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// Json Boolean
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Json& JsonBoolean::operator[](std::string const & key) {
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Json& JsonBoolean::operator[](std::string const& ) {
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LOG(FATAL) << "Object of type "
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<< Value::TypeStr() << " can not be indexed by string.";
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return DummyJsonObject();
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}
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Json& JsonBoolean::operator[](int ind) {
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Json& JsonBoolean::operator[](int ) {
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LOG(FATAL) << "Object of type "
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<< Value::TypeStr() << " can not be indexed by Integer.";
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return DummyJsonObject();
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@ -137,7 +137,7 @@ void BatchHistSynchronizer<GradientSumT>::SyncHistograms(BuilderT *builder,
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}, 1024);
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common::ParallelFor2d(space, builder->nthread_, [&](size_t node, common::Range1d r) {
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const auto entry = builder->nodes_for_explicit_hist_build_[node];
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const auto& entry = builder->nodes_for_explicit_hist_build_[node];
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auto this_hist = builder->hist_[entry.nid];
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// Merging histograms from each thread into once
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builder->hist_buffer_.ReduceHist(node, r.begin(), r.end());
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@ -163,7 +163,7 @@ void DistributedHistSynchronizer<GradientSumT>::SyncHistograms(BuilderT* builder
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return nbins;
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}, 1024);
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common::ParallelFor2d(space, builder->nthread_, [&](size_t node, common::Range1d r) {
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const auto entry = builder->nodes_for_explicit_hist_build_[node];
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const auto& entry = builder->nodes_for_explicit_hist_build_[node];
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auto this_hist = builder->hist_[entry.nid];
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// Merging histograms from each thread into once
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builder->hist_buffer_.ReduceHist(node, r.begin(), r.end());
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@ -202,7 +202,7 @@ void DistributedHistSynchronizer<GradientSumT>::ParallelSubtractionHist(
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const std::vector<ExpandEntryT>& nodes,
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const RegTree * p_tree) {
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common::ParallelFor2d(space, builder->nthread_, [&](size_t node, common::Range1d r) {
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const auto entry = nodes[node];
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const auto& entry = nodes[node];
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if (!((*p_tree)[entry.nid].IsLeftChild())) {
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auto this_hist = builder->hist_[entry.nid];
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@ -827,18 +827,18 @@ void QuantileHistMaker::Builder<GradientSumT>::InitData(const GHistIndexMatrix&
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const uint32_t nbins_f0 = gmat.cut.Ptrs()[1] - gmat.cut.Ptrs()[0];
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if (nrow * ncol == nnz) {
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// dense data with zero-based indexing
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data_layout_ = kDenseDataZeroBased;
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data_layout_ = DataLayout::kDenseDataZeroBased;
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} else if (nbins_f0 == 0 && nrow * (ncol - 1) == nnz) {
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// dense data with one-based indexing
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data_layout_ = kDenseDataOneBased;
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data_layout_ = DataLayout::kDenseDataOneBased;
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} else {
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// sparse data
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data_layout_ = kSparseData;
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data_layout_ = DataLayout::kSparseData;
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}
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}
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// store a pointer to the tree
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p_last_tree_ = &tree;
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if (data_layout_ == kDenseDataOneBased) {
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if (data_layout_ == DataLayout::kDenseDataOneBased) {
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column_sampler_.Init(info.num_col_, info.feature_weigths.ConstHostVector(),
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param_.colsample_bynode, param_.colsample_bylevel,
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param_.colsample_bytree, true);
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@ -847,7 +847,8 @@ void QuantileHistMaker::Builder<GradientSumT>::InitData(const GHistIndexMatrix&
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param_.colsample_bynode, param_.colsample_bylevel,
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param_.colsample_bytree, false);
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}
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if (data_layout_ == kDenseDataZeroBased || data_layout_ == kDenseDataOneBased) {
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if (data_layout_ == DataLayout::kDenseDataZeroBased
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|| data_layout_ == DataLayout::kDenseDataOneBased) {
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/* specialized code for dense data:
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choose the column that has a least positive number of discrete bins.
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For dense data (with no missing value),
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@ -1138,9 +1139,9 @@ void QuantileHistMaker::Builder<GradientSumT>::FindSplitConditions(
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// split_cond = -1 indicates that split_pt is less than all known cut points
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CHECK_LT(upper_bound,
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static_cast<uint32_t>(std::numeric_limits<int32_t>::max()));
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for (uint32_t i = lower_bound; i < upper_bound; ++i) {
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if (split_pt == gmat.cut.Values()[i]) {
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split_cond = static_cast<int32_t>(i);
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for (uint32_t bound = lower_bound; bound < upper_bound; ++bound) {
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if (split_pt == gmat.cut.Values()[bound]) {
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split_cond = static_cast<int32_t>(bound);
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}
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}
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(*split_conditions)[i] = split_cond;
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@ -1151,7 +1152,7 @@ void QuantileHistMaker::Builder<GradientSumT>::AddSplitsToRowSet(
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const std::vector<ExpandEntry>& nodes,
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RegTree* p_tree) {
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const size_t n_nodes = nodes.size();
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for (size_t i = 0; i < n_nodes; ++i) {
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for (unsigned int i = 0; i < n_nodes; ++i) {
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const int32_t nid = nodes[i].nid;
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const size_t n_left = partition_builder_.GetNLeftElems(i);
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const size_t n_right = partition_builder_.GetNRightElems(i);
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@ -1165,7 +1166,7 @@ template <typename GradientSumT>
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void QuantileHistMaker::Builder<GradientSumT>::ApplySplit(const std::vector<ExpandEntry> nodes,
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const GHistIndexMatrix& gmat,
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const ColumnMatrix& column_matrix,
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const HistCollection<GradientSumT>& hist,
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const HistCollection<GradientSumT>&,
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RegTree* p_tree) {
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builder_monitor_.Start("ApplySplit");
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// 1. Find split condition for each split
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@ -1236,7 +1237,8 @@ void QuantileHistMaker::Builder<GradientSumT>::InitNewNode(int nid,
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GHistRowT hist = hist_[nid];
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GradientPairT grad_stat;
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if (tree[nid].IsRoot()) {
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if (data_layout_ == kDenseDataZeroBased || data_layout_ == kDenseDataOneBased) {
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if (data_layout_ == DataLayout::kDenseDataZeroBased
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|| data_layout_ == DataLayout::kDenseDataOneBased) {
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const std::vector<uint32_t>& row_ptr = gmat.cut.Ptrs();
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const uint32_t ibegin = row_ptr[fid_least_bins_];
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const uint32_t iend = row_ptr[fid_least_bins_ + 1];
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@ -99,7 +99,7 @@ class DistributedHistRowsAdder;
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// training parameters specific to this algorithm
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struct CPUHistMakerTrainParam
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: public XGBoostParameter<CPUHistMakerTrainParam> {
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bool single_precision_histogram;
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bool single_precision_histogram = false;
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// declare parameters
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DMLC_DECLARE_PARAMETER(CPUHistMakerTrainParam) {
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DMLC_DECLARE_FIELD(single_precision_histogram).set_default(false).describe(
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@ -127,7 +127,7 @@ class QuantileHistMaker: public TreeUpdater {
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FromJson(config.at("train_param"), &this->param_);
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try {
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FromJson(config.at("cpu_hist_train_param"), &this->hist_maker_param_);
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} catch (std::out_of_range& e) {
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} catch (std::out_of_range&) {
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// XGBoost model is from 1.1.x, so 'cpu_hist_train_param' is missing.
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// We add this compatibility check because it's just recently that we (developers) began
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// persuade R users away from using saveRDS() for model serialization. Hopefully, one day,
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@ -191,7 +191,7 @@ class QuantileHistMaker: public TreeUpdater {
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/*! \brief current best solution */
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SplitEntry best;
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// constructor
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explicit NodeEntry(const TrainParam& param)
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explicit NodeEntry(const TrainParam&)
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: root_gain(0.0f), weight(0.0f) {}
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};
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// actual builder that runs the algorithm
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@ -229,7 +229,8 @@ class QuantileHistMaker: public TreeUpdater {
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if (param_.enable_feature_grouping > 0) {
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hist_builder_.BuildBlockHist(gpair, row_indices, gmatb, hist);
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} else {
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hist_builder_.BuildHist(gpair, row_indices, gmat, hist, data_layout_ != kSparseData);
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hist_builder_.BuildHist(gpair, row_indices, gmat, hist,
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data_layout_ != DataLayout::kSparseData);
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}
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}
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@ -442,7 +443,7 @@ class QuantileHistMaker: public TreeUpdater {
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// list of nodes whose histograms would be built explicitly.
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std::vector<ExpandEntry> nodes_for_explicit_hist_build_;
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enum DataLayout { kDenseDataZeroBased, kDenseDataOneBased, kSparseData };
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enum class DataLayout { kDenseDataZeroBased, kDenseDataOneBased, kSparseData };
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DataLayout data_layout_;
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common::Monitor builder_monitor_;
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@ -113,7 +113,7 @@ class TreeRefresher: public TreeUpdater {
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||||
inline static void AddStats(const RegTree &tree,
|
||||
const RegTree::FVec &feat,
|
||||
const std::vector<GradientPair> &gpair,
|
||||
const MetaInfo &info,
|
||||
const MetaInfo&,
|
||||
const bst_uint ridx,
|
||||
GradStats *gstats) {
|
||||
// start from groups that belongs to current data
|
||||
|
||||
@ -22,17 +22,17 @@ DMLC_REGISTRY_FILE_TAG(updater_sync);
|
||||
*/
|
||||
class TreeSyncher: public TreeUpdater {
|
||||
public:
|
||||
void Configure(const Args& args) override {}
|
||||
void Configure(const Args&) override {}
|
||||
|
||||
void LoadConfig(Json const& in) override {}
|
||||
void SaveConfig(Json* p_out) const override {}
|
||||
void LoadConfig(Json const&) override {}
|
||||
void SaveConfig(Json*) const override {}
|
||||
|
||||
char const* Name() const override {
|
||||
return "prune";
|
||||
}
|
||||
|
||||
void Update(HostDeviceVector<GradientPair> *gpair,
|
||||
DMatrix* dmat,
|
||||
void Update(HostDeviceVector<GradientPair>* ,
|
||||
DMatrix*,
|
||||
const std::vector<RegTree*> &trees) override {
|
||||
if (rabit::GetWorldSize() == 1) return;
|
||||
std::string s_model;
|
||||
|
||||
@ -40,7 +40,7 @@ class QuantileHistMock : public QuantileHistMaker {
|
||||
DMatrix* p_fmat,
|
||||
const RegTree& tree) {
|
||||
RealImpl::InitData(gmat, gpair, *p_fmat, tree);
|
||||
ASSERT_EQ(this->data_layout_, RealImpl::kSparseData);
|
||||
ASSERT_EQ(this->data_layout_, RealImpl::DataLayout::kSparseData);
|
||||
|
||||
/* The creation of HistCutMatrix and GHistIndexMatrix are not technically
|
||||
* part of QuantileHist updater logic, but we include it here because
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user