Support host data in proxy DMatrix. (#7087)
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5d7cdf2e36
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@ -257,7 +257,10 @@ class ArrayAdapterBatch : public detail::NoMetaInfo {
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Line const GetLine(size_t idx) const {
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return Line{array_interface_, idx};
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}
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size_t Size() const { return array_interface_.num_rows; }
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size_t NumRows() const { return array_interface_.num_rows; }
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size_t NumCols() const { return array_interface_.num_cols; }
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size_t Size() const { return this->NumRows(); }
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explicit ArrayAdapterBatch(ArrayInterface array_interface)
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: array_interface_{std::move(array_interface)} {}
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@ -288,6 +291,7 @@ class CSRArrayAdapterBatch : public detail::NoMetaInfo {
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ArrayInterface indptr_;
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ArrayInterface indices_;
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ArrayInterface values_;
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bst_feature_t n_features_;
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class Line {
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ArrayInterface indices_;
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@ -311,23 +315,27 @@ class CSRArrayAdapterBatch : public detail::NoMetaInfo {
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}
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};
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public:
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static constexpr bool kIsRowMajor = true;
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public:
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CSRArrayAdapterBatch() = default;
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CSRArrayAdapterBatch(ArrayInterface indptr, ArrayInterface indices,
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ArrayInterface values)
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ArrayInterface values, bst_feature_t n_features)
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: indptr_{std::move(indptr)}, indices_{std::move(indices)},
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values_{std::move(values)} {
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values_{std::move(values)}, n_features_{n_features} {
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indptr_.AsColumnVector();
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values_.AsColumnVector();
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indices_.AsColumnVector();
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}
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size_t Size() const {
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size_t NumRows() const {
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size_t size = indptr_.num_rows * indptr_.num_cols;
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size = size == 0 ? 0 : size - 1;
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return size;
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}
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static constexpr bool kIsRowMajor = true;
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size_t NumCols() const { return n_features_; }
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size_t Size() const { return this->NumRows(); }
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Line const GetLine(size_t idx) const {
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auto begin_offset = indptr_.GetElement<size_t>(idx, 0);
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@ -356,7 +364,8 @@ class CSRArrayAdapter : public detail::SingleBatchDataIter<CSRArrayAdapterBatch>
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CSRArrayAdapter(StringView indptr, StringView indices, StringView values,
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size_t num_cols)
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: indptr_{indptr}, indices_{indices}, values_{values}, num_cols_{num_cols} {
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batch_ = CSRArrayAdapterBatch{indptr_, indices_, values_};
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batch_ = CSRArrayAdapterBatch{indptr_, indices_, values_,
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static_cast<bst_feature_t>(num_cols_)};
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}
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CSRArrayAdapterBatch const& Value() const override {
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@ -11,6 +11,7 @@
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#include <map>
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#include <string>
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#include <utility>
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#include <vector>
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#include "xgboost/base.h"
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#include "xgboost/data.h"
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@ -416,5 +417,24 @@ class ArrayInterface {
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Type type;
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};
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template <typename T> std::string MakeArrayInterface(T const *data, size_t n) {
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Json arr{Object{}};
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arr["data"] = Array(std::vector<Json>{
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Json{Integer{reinterpret_cast<int64_t>(data)}}, Json{Boolean{false}}});
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arr["shape"] = Array{std::vector<Json>{Json{Integer{n}}, Json{Integer{1}}}};
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std::string typestr;
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if (DMLC_LITTLE_ENDIAN) {
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typestr.push_back('<');
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} else {
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typestr.push_back('>');
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}
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typestr.push_back(ArrayInterfaceHandler::TypeChar<T>());
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typestr += std::to_string(sizeof(T));
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arr["typestr"] = typestr;
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arr["version"] = 3;
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std::string str;
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Json::Dump(arr, &str);
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return str;
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}
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} // namespace xgboost
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#endif // XGBOOST_DATA_ARRAY_INTERFACE_H_
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@ -11,35 +11,16 @@
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#include "sparse_page_source.h"
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#include "ellpack_page.cuh"
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#include "proxy_dmatrix.h"
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#include "proxy_dmatrix.cuh"
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#include "device_adapter.cuh"
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namespace xgboost {
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namespace data {
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template <typename Fn>
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decltype(auto) Dispatch(DMatrixProxy const* proxy, Fn fn) {
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if (proxy->Adapter().type() == typeid(std::shared_ptr<CupyAdapter>)) {
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auto value = dmlc::get<std::shared_ptr<CupyAdapter>>(
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proxy->Adapter())->Value();
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return fn(value);
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} else if (proxy->Adapter().type() == typeid(std::shared_ptr<CudfAdapter>)) {
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auto value = dmlc::get<std::shared_ptr<CudfAdapter>>(
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proxy->Adapter())->Value();
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return fn(value);
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} else {
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LOG(FATAL) << "Unknown type: " << proxy->Adapter().type().name();
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auto value = dmlc::get<std::shared_ptr<CudfAdapter>>(
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proxy->Adapter())->Value();
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return fn(value);
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}
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}
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void IterativeDeviceDMatrix::Initialize(DataIterHandle iter_handle, float missing, int nthread) {
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// A handle passed to external iterator.
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auto handle = static_cast<std::shared_ptr<DMatrix>*>(proxy_);
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CHECK(handle);
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DMatrixProxy* proxy = static_cast<DMatrixProxy*>(handle->get());
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DMatrixProxy* proxy = MakeProxy(proxy_);
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CHECK(proxy);
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// The external iterator
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auto iter = DataIterProxy<DataIterResetCallback, XGDMatrixCallbackNext>{
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iter_handle, reset_, next_};
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29
src/data/proxy_dmatrix.cc
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29
src/data/proxy_dmatrix.cc
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@ -0,0 +1,29 @@
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/*!
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* Copyright 2021 by Contributors
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* \file proxy_dmatrix.cc
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*/
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#include "proxy_dmatrix.h"
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namespace xgboost {
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namespace data {
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void DMatrixProxy::SetArrayData(char const *c_interface) {
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std::shared_ptr<ArrayAdapter> adapter{
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new ArrayAdapter(StringView{c_interface})};
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this->batch_ = adapter;
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this->Info().num_col_ = adapter->NumColumns();
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this->Info().num_row_ = adapter->NumRows();
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}
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void DMatrixProxy::SetCSRData(char const *c_indptr, char const *c_indices,
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char const *c_values, bst_feature_t n_features, bool on_host) {
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CHECK(on_host) << "Not implemented on device.";
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std::shared_ptr<CSRArrayAdapter> adapter{
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new CSRArrayAdapter(StringView{c_indptr}, StringView{c_indices},
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StringView{c_values}, n_features)};
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this->batch_ = adapter;
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this->Info().num_col_ = adapter->NumColumns();
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this->Info().num_row_ = adapter->NumRows();
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}
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} // namespace data
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} // namespace xgboost
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27
src/data/proxy_dmatrix.cuh
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27
src/data/proxy_dmatrix.cuh
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@ -0,0 +1,27 @@
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/*!
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* Copyright 2021 XGBoost contributors
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*/
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#include "device_adapter.cuh"
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#include "proxy_dmatrix.h"
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namespace xgboost {
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namespace data {
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template <typename Fn>
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decltype(auto) Dispatch(DMatrixProxy const* proxy, Fn fn) {
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if (proxy->Adapter().type() == typeid(std::shared_ptr<CupyAdapter>)) {
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auto value = dmlc::get<std::shared_ptr<CupyAdapter>>(
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proxy->Adapter())->Value();
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return fn(value);
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} else if (proxy->Adapter().type() == typeid(std::shared_ptr<CudfAdapter>)) {
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auto value = dmlc::get<std::shared_ptr<CudfAdapter>>(
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proxy->Adapter())->Value();
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return fn(value);
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} else {
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LOG(FATAL) << "Unknown type: " << proxy->Adapter().type().name();
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auto value = dmlc::get<std::shared_ptr<CudfAdapter>>(
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proxy->Adapter())->Value();
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return fn(value);
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}
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}
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} // namespace data
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} // namespace xgboost
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@ -72,6 +72,11 @@ class DMatrixProxy : public DMatrix {
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#endif // defined(XGBOOST_USE_CUDA)
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}
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void SetArrayData(char const* c_interface);
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void SetCSRData(char const *c_indptr, char const *c_indices,
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char const *c_values, bst_feature_t n_features,
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bool on_host);
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MetaInfo& Info() override { return info_; }
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MetaInfo const& Info() const override { return info_; }
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bool SingleColBlock() const override { return true; }
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@ -106,6 +111,41 @@ class DMatrixProxy : public DMatrix {
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return batch_;
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}
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};
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inline DMatrixProxy *MakeProxy(DMatrixHandle proxy) {
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auto proxy_handle = static_cast<std::shared_ptr<DMatrix> *>(proxy);
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CHECK(proxy_handle) << "Invalid proxy handle.";
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DMatrixProxy *typed = static_cast<DMatrixProxy *>(proxy_handle->get());
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return typed;
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}
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template <typename Fn>
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decltype(auto) HostAdapterDispatch(DMatrixProxy const* proxy, Fn fn, bool* type_error = nullptr) {
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if (proxy->Adapter().type() == typeid(std::shared_ptr<CSRArrayAdapter>)) {
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auto value =
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dmlc::get<std::shared_ptr<CSRArrayAdapter>>(proxy->Adapter())->Value();
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if (type_error) {
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*type_error = false;
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}
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return fn(value);
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} else if (proxy->Adapter().type() == typeid(std::shared_ptr<ArrayAdapter>)) {
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auto value = dmlc::get<std::shared_ptr<ArrayAdapter>>(
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proxy->Adapter())->Value();
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if (type_error) {
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*type_error = false;
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}
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return fn(value);
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} else {
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if (type_error) {
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*type_error = true;
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} else {
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LOG(FATAL) << "Unknown type: " << proxy->Adapter().type().name();
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}
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auto value = dmlc::get<std::shared_ptr<ArrayAdapter>>(
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proxy->Adapter())->Value();
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return fn(value);
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}
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}
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} // namespace data
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} // namespace xgboost
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#endif // XGBOOST_DATA_PROXY_DMATRIX_H_
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@ -1,4 +1,4 @@
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// Copyright (c) 2019 by Contributors
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// Copyright (c) 2019-2021 by XGBoost Contributors
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#include <gtest/gtest.h>
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#include <type_traits>
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#include <utility>
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@ -35,6 +35,27 @@ TEST(Adapter, CSRAdapter) {
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EXPECT_EQ(line2.GetElement(0).column_idx, 1);
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}
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TEST(Adapter, CSRArrayAdapter) {
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HostDeviceVector<bst_row_t> indptr;
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HostDeviceVector<float> values;
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HostDeviceVector<bst_feature_t> indices;
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size_t n_features = 100, n_samples = 10;
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RandomDataGenerator{n_samples, n_features, 0.5}.GenerateCSR(&values, &indptr, &indices);
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auto indptr_arr = MakeArrayInterface(indptr.HostPointer(), indptr.Size());
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auto values_arr = MakeArrayInterface(values.HostPointer(), values.Size());
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auto indices_arr = MakeArrayInterface(indices.HostPointer(), indices.Size());
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auto adapter = data::CSRArrayAdapter(
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StringView{indptr_arr.c_str(), indptr_arr.size()},
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StringView{values_arr.c_str(), values_arr.size()},
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StringView{indices_arr.c_str(), indices_arr.size()}, n_features);
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auto batch = adapter.Value();
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ASSERT_EQ(batch.NumRows(), n_samples);
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ASSERT_EQ(batch.NumCols(), n_features);
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ASSERT_EQ(adapter.NumRows(), n_samples);
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ASSERT_EQ(adapter.NumColumns(), n_features);
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}
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TEST(Adapter, CSCAdapterColsMoreThanRows) {
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std::vector<float> data = {1, 2, 3, 4, 5, 6, 7, 8};
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std::vector<unsigned> row_idx = {0, 1, 0, 1, 0, 1, 0, 1};
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31
tests/cpp/data/test_proxy_dmatrix.cc
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31
tests/cpp/data/test_proxy_dmatrix.cc
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@ -0,0 +1,31 @@
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/*!
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* Copyright 2021 XGBoost contributors
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*/
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#include <gtest/gtest.h>
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#include "../helpers.h"
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#include "../../../src/data/proxy_dmatrix.h"
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#include "../../../src/data/adapter.h"
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namespace xgboost {
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namespace data {
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TEST(ProxyDMatrix, HostData) {
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DMatrixProxy proxy;
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size_t constexpr kRows = 100, kCols = 10;
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std::vector<HostDeviceVector<float>> label_storage(1);
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HostDeviceVector<float> storage;
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auto data = RandomDataGenerator(kRows, kCols, 0.5)
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.Device(0)
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.GenerateArrayInterface(&storage);
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proxy.SetArrayData(data.c_str());
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auto n_samples = HostAdapterDispatch(
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&proxy, [](auto const &value) { return value.Size(); });
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ASSERT_EQ(n_samples, kRows);
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auto n_features = HostAdapterDispatch(
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&proxy, [](auto const &value) { return value.NumCols(); });
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ASSERT_EQ(n_features, kCols);
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}
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} // namespace data
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} // namespace xgboost
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@ -7,7 +7,7 @@
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namespace xgboost {
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namespace data {
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TEST(ProxyDMatrix, Basic) {
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TEST(ProxyDMatrix, DeviceData) {
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constexpr size_t kRows{100}, kCols{100};
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HostDeviceVector<float> storage;
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auto data = RandomDataGenerator(kRows, kCols, 0.5)
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