Rename IterativeDMatrix. (#8045)

src/data/data.cc

@@ -26,7 +26,7 @@
 #include "../common/group_data.h"
 #include "../common/threading_utils.h"
 #include "../data/adapter.h"
-#include "../data/iterative_device_dmatrix.h"
+#include "../data/iterative_dmatrix.h"
 #include "file_iterator.h"
 
 #include "validation.h"
@@ -938,7 +938,7 @@ DMatrix *DMatrix::Create(DataIterHandle iter, DMatrixHandle proxy,
                          XGDMatrixCallbackNext *next, float missing,
                          int nthread,
                          int max_bin) {
-  return new data::IterativeDeviceDMatrix(iter, proxy, reset, next, missing,
+  return new data::IterativeDMatrix(iter, proxy, reset, next, missing,
                                           nthread, max_bin);
 }
 

src/data/iterative_dmatrix.cu

@@ -1,5 +1,5 @@
 /*!
- * Copyright 2020 XGBoost contributors
+ * Copyright 2020-2022 XGBoost contributors
  */
 #include <memory>
 #include <type_traits>
@@ -7,7 +7,7 @@
 
 #include "../common/hist_util.cuh"
 #include "simple_batch_iterator.h"
-#include "iterative_device_dmatrix.h"
+#include "iterative_dmatrix.h"
 #include "sparse_page_source.h"
 #include "ellpack_page.cuh"
 #include "proxy_dmatrix.h"
@@ -16,7 +16,7 @@
 
 namespace xgboost {
 namespace data {
-void IterativeDeviceDMatrix::Initialize(DataIterHandle iter_handle, float missing) {
+void IterativeDMatrix::InitFromCUDA(DataIterHandle iter_handle, float missing) {
   // A handle passed to external iterator.
   DMatrixProxy* proxy = MakeProxy(proxy_);
   CHECK(proxy);
@@ -160,7 +160,7 @@ void IterativeDeviceDMatrix::Initialize(DataIterHandle iter_handle, float missin
   rabit::Allreduce<rabit::op::Max>(&info_.num_col_, 1);
 }
 
-BatchSet<EllpackPage> IterativeDeviceDMatrix::GetEllpackBatches(const BatchParam& param) {
+BatchSet<EllpackPage> IterativeDMatrix::GetEllpackBatches(const BatchParam& param) {
   CHECK(page_);
   // FIXME(Jiamingy): https://github.com/dmlc/xgboost/issues/7976
   if (param.max_bin != batch_param_.max_bin) {

src/data/iterative_dmatrix.h

@@ -1,9 +1,9 @@
 /*!
- * Copyright 2020 by Contributors
- * \file iterative_device_dmatrix.h
+ * Copyright 2020-2022 by Contributors
+ * \file iterative_dmatrix.h
  */
-#ifndef XGBOOST_DATA_ITERATIVE_DEVICE_DMATRIX_H_
-#define XGBOOST_DATA_ITERATIVE_DEVICE_DMATRIX_H_
+#ifndef XGBOOST_DATA_ITERATIVE_DMATRIX_H_
+#define XGBOOST_DATA_ITERATIVE_DMATRIX_H_
 
 #include <vector>
 #include <string>
@@ -19,7 +19,7 @@
 namespace xgboost {
 namespace data {
 
-class IterativeDeviceDMatrix : public DMatrix {
+class IterativeDMatrix : public DMatrix {
   MetaInfo info_;
   Context ctx_;
   BatchParam batch_param_;
@@ -30,18 +30,17 @@ class IterativeDeviceDMatrix : public DMatrix {
   XGDMatrixCallbackNext *next_;
 
  public:
-  void Initialize(DataIterHandle iter, float missing);
+  void InitFromCUDA(DataIterHandle iter, float missing);
 
  public:
-  explicit IterativeDeviceDMatrix(DataIterHandle iter, DMatrixHandle proxy,
-                                  DataIterResetCallback *reset, XGDMatrixCallbackNext *next,
-                                  float missing, int nthread, int max_bin)
+  explicit IterativeDMatrix(DataIterHandle iter, DMatrixHandle proxy, DataIterResetCallback *reset,
+                            XGDMatrixCallbackNext *next, float missing, int nthread, int max_bin)
       : proxy_{proxy}, reset_{reset}, next_{next} {
-    batch_param_ = BatchParam{0, max_bin};
+    batch_param_ = BatchParam{MakeProxy(proxy_)->DeviceIdx(), max_bin};
     ctx_.UpdateAllowUnknown(Args{{"nthread", std::to_string(nthread)}});
-    this->Initialize(iter, missing);
+    this->InitFromCUDA(iter, missing);
   }
-  ~IterativeDeviceDMatrix() override = default;
+  ~IterativeDMatrix() override = default;
 
   bool EllpackExists() const override { return true; }
   bool SparsePageExists() const override { return false; }
@@ -77,14 +76,14 @@ class IterativeDeviceDMatrix : public DMatrix {
 };
 
 #if !defined(XGBOOST_USE_CUDA)
-inline void IterativeDeviceDMatrix::Initialize(DataIterHandle iter, float missing) {
+inline void IterativeDMatrix::InitFromCUDA(DataIterHandle iter, float missing) {
   // silent the warning about unused variables.
   (void)(proxy_);
   (void)(reset_);
   (void)(next_);
   common::AssertGPUSupport();
 }
-inline BatchSet<EllpackPage> IterativeDeviceDMatrix::GetEllpackBatches(const BatchParam& param) {
+inline BatchSet<EllpackPage> IterativeDMatrix::GetEllpackBatches(const BatchParam& param) {
   common::AssertGPUSupport();
   auto begin_iter =
       BatchIterator<EllpackPage>(new SimpleBatchIteratorImpl<EllpackPage>(page_));
@@ -94,4 +93,4 @@ inline BatchSet<EllpackPage> IterativeDeviceDMatrix::GetEllpackBatches(const Bat
 }  // namespace data
 }  // namespace xgboost
 
-#endif  // XGBOOST_DATA_ITERATIVE_DEVICE_DMATRIX_H_
+#endif  // XGBOOST_DATA_ITERATIVE_DMATRIX_H_

tests/cpp/data/test_iterative_dmatrix.cu

@@ -1,10 +1,10 @@
 /*!
- * Copyright 2020 XGBoost contributors
+ * Copyright 2020-2022 XGBoost contributors
  */
 #include <gtest/gtest.h>
 
 #include "../helpers.h"
-#include "../../../src/data/iterative_device_dmatrix.h"
+#include "../../../src/data/iterative_dmatrix.h"
 #include "../../../src/data/ellpack_page.cuh"
 #include "../../../src/data/device_adapter.cuh"
 
@@ -13,7 +13,7 @@ namespace data {
 
 void TestEquivalent(float sparsity) {
   CudaArrayIterForTest iter{sparsity};
-  IterativeDeviceDMatrix m(
+  IterativeDMatrix m(
       &iter, iter.Proxy(), Reset, Next, std::numeric_limits<float>::quiet_NaN(),
       0, 256);
   size_t offset = 0;
@@ -88,7 +88,7 @@ TEST(IterativeDeviceDMatrix, Basic) {
 
 TEST(IterativeDeviceDMatrix, RowMajor) {
   CudaArrayIterForTest iter(0.0f);
-  IterativeDeviceDMatrix m(
+  IterativeDMatrix m(
       &iter, iter.Proxy(), Reset, Next, std::numeric_limits<float>::quiet_NaN(),
       0, 256);
   size_t n_batches = 0;
@@ -139,7 +139,7 @@ TEST(IterativeDeviceDMatrix, RowMajorMissing) {
       reinterpret_cast<float *>(get<Integer>(j_interface["data"][0])));
   thrust::copy(h_data.cbegin(), h_data.cend(), ptr);
 
-  IterativeDeviceDMatrix m(
+  IterativeDMatrix m(
       &iter, iter.Proxy(), Reset, Next, std::numeric_limits<float>::quiet_NaN(),
       0, 256);
   auto &ellpack = *m.GetBatches<EllpackPage>({0, 256}).begin();
@@ -159,7 +159,7 @@ TEST(IterativeDeviceDMatrix, IsDense) {
   int num_bins = 16;
   auto test = [num_bins] (float sparsity) {
     CudaArrayIterForTest iter(sparsity);
-    IterativeDeviceDMatrix m(
+    IterativeDMatrix m(
         &iter, iter.Proxy(), Reset, Next, std::numeric_limits<float>::quiet_NaN(),
         0, 256);
     if (sparsity == 0.0) {

tests/cpp/helpers.cu

@@ -2,7 +2,7 @@
 
 #include "helpers.h"
 #include "../../src/data/device_adapter.cuh"
-#include "../../src/data/iterative_device_dmatrix.h"
+#include "../../src/data/iterative_dmatrix.h"
 
 namespace xgboost {
 
@@ -28,12 +28,10 @@ int CudaArrayIterForTest::Next() {
   return 1;
 }
 
-
 std::shared_ptr<DMatrix> RandomDataGenerator::GenerateDeviceDMatrix() {
   CudaArrayIterForTest iter{this->sparsity_, this->rows_, this->cols_, 1};
-  auto m = std::make_shared<data::IterativeDeviceDMatrix>(
-      &iter, iter.Proxy(), Reset, Next, std::numeric_limits<float>::quiet_NaN(),
-      0, bins_);
+  auto m = std::make_shared<data::IterativeDMatrix>(
+      &iter, iter.Proxy(), Reset, Next, std::numeric_limits<float>::quiet_NaN(), 0, bins_);
   return m;
 }
 }  // namespace xgboost