SYCL. Add functional for partition building

plugin/sycl/common/partition_builder.h

@@ -21,13 +21,97 @@
 #pragma GCC diagnostic pop
 
 #include "../data.h"
+#include "row_set.h"
+#include "../data/gradient_index.h"
+#include "../tree/expand_entry.h"
 
 #include <CL/sycl.hpp>
 
 namespace xgboost {
 namespace sycl {
 namespace common {
 
+// split row indexes (rid_span) to 2 parts (both stored in rid_buf) depending
+// on comparison of indexes values (idx_span) and split point (split_cond)
+// Handle dense columns
+template <bool default_left, typename BinIdxType>
+inline ::sycl::event PartitionDenseKernel(
+                                 ::sycl::queue* qu,
+                                 const GHistIndexMatrix& gmat,
+                                 const RowSetCollection::Elem& rid_span,
+                                 const size_t fid,
+                                 const int32_t split_cond,
+                                 xgboost::common::Span<size_t>* rid_buf,
+                                 size_t* parts_size,
+                                 ::sycl::event event) {
+  const size_t row_stride = gmat.row_stride;
+  const BinIdxType* gradient_index = gmat.index.data<BinIdxType>();
+  const size_t* rid = rid_span.begin;
+  const size_t range_size = rid_span.Size();
+  const size_t offset = gmat.cut.Ptrs()[fid];
+
+  size_t* p_rid_buf = rid_buf->data();
+
+  return qu->submit([&](::sycl::handler& cgh) {
+    cgh.depends_on(event);
+    cgh.parallel_for<>(::sycl::range<1>(range_size), [=](::sycl::item<1> nid) {
+      const size_t id = rid[nid.get_id(0)];
+      const int32_t value = static_cast<int32_t>(gradient_index[id * row_stride + fid] + offset);
+      const bool is_left = value <= split_cond;
+      if (is_left) {
+        AtomicRef<size_t> n_left(parts_size[0]);
+        p_rid_buf[n_left.fetch_add(1)] = id;
+      } else {
+        AtomicRef<size_t> n_right(parts_size[1]);
+        p_rid_buf[range_size - n_right.fetch_add(1) - 1] = id;
+      }
+    });
+  });
+}
+
+// split row indexes (rid_span) to 2 parts (both stored in rid_buf) depending
+// on comparison of indexes values (idx_span) and split point (split_cond)
+// Handle sparce columns
+template <bool default_left, typename BinIdxType>
+inline ::sycl::event PartitionSparseKernel(::sycl::queue* qu,
+                                  const GHistIndexMatrix& gmat,
+                                  const RowSetCollection::Elem& rid_span,
+                                  const size_t fid,
+                                  const int32_t split_cond,
+                                  xgboost::common::Span<size_t>* rid_buf,
+                                  size_t* parts_size,
+                                  ::sycl::event event) {
+  const size_t row_stride = gmat.row_stride;
+  const BinIdxType* gradient_index = gmat.index.data<BinIdxType>();
+  const size_t* rid = rid_span.begin;
+  const size_t range_size = rid_span.Size();
+  const uint32_t* cut_ptrs = gmat.cut_device.Ptrs().DataConst();
+
+  size_t* p_rid_buf = rid_buf->data();
+  return qu->submit([&](::sycl::handler& cgh) {
+    cgh.depends_on(event);
+    cgh.parallel_for<>(::sycl::range<1>(range_size), [=](::sycl::item<1> nid) {
+      const size_t id = rid[nid.get_id(0)];
+
+      const BinIdxType* gr_index_local = gradient_index + row_stride * id;
+      const int32_t fid_local = std::lower_bound(gr_index_local,
+                                                 gr_index_local + row_stride,
+                                                 cut_ptrs[fid]) - gr_index_local;
+      const bool is_left = (fid_local >= row_stride ||
+                            gr_index_local[fid_local] >= cut_ptrs[fid + 1]) ?
+                              default_left :
+                              gr_index_local[fid_local] <= split_cond;
+      if (is_left) {
+        AtomicRef<size_t> n_left(parts_size[0]);
+        p_rid_buf[n_left.fetch_add(1)] = id;
+      } else {
+        AtomicRef<size_t> n_right(parts_size[1]);
+        p_rid_buf[range_size - n_right.fetch_add(1) - 1] = id;
+      }
+    });
+  });
+}
+
 // The builder is required for samples partition to left and rights children for set of nodes
 class PartitionBuilder {
  public:
@@ -53,7 +137,6 @@ class PartitionBuilder {
     return result_rows_[2 * nid];
   }
 
-
   size_t GetNRightElems(int nid) const {
     return result_rows_[2 * nid + 1];
   }
@@ -72,19 +155,97 @@ class PartitionBuilder {
     return { data_.Data() + nodes_offsets_[nid], nodes_offsets_[nid + 1] - nodes_offsets_[nid] };
   }
 
+  template <typename BinIdxType>
+  ::sycl::event Partition(const int32_t split_cond,
+                        const GHistIndexMatrix& gmat,
+                        const RowSetCollection::Elem& rid_span,
+                        const xgboost::RegTree::Node& node,
+                        xgboost::common::Span<size_t>* rid_buf,
+                        size_t* parts_size,
+                        ::sycl::event event) {
+    const bst_uint fid = node.SplitIndex();
+    const bool default_left = node.DefaultLeft();
+
+    if (gmat.IsDense()) {
+      if (default_left) {
+        return PartitionDenseKernel<true, BinIdxType>(qu_, gmat, rid_span, fid,
+                                                      split_cond, rid_buf, parts_size, event);
+      } else {
+        return PartitionDenseKernel<false, BinIdxType>(qu_, gmat, rid_span, fid,
+                                                      split_cond, rid_buf, parts_size, event);
+      }
+    } else {
+      if (default_left) {
+        return PartitionSparseKernel<true, BinIdxType>(qu_, gmat, rid_span, fid,
+                                                      split_cond, rid_buf, parts_size, event);
+      } else {
+        return PartitionSparseKernel<false, BinIdxType>(qu_, gmat, rid_span, fid,
+                                                        split_cond, rid_buf, parts_size, event);
+      }
+    }
+  }
+
+  // Entry point for Partition
+  void Partition(const GHistIndexMatrix& gmat,
+                 const std::vector<tree::ExpandEntry> nodes,
+                 const RowSetCollection& row_set_collection,
+                 const std::vector<int32_t>& split_conditions,
+                 RegTree* p_tree,
+                 ::sycl::event* general_event) {
+    nodes_events_.resize(n_nodes_);
+
+    parts_size_.ResizeAndFill(qu_, 2 * n_nodes_, 0, general_event);
+
+    for (size_t node_in_set = 0; node_in_set < n_nodes_; node_in_set++) {
+      const int32_t nid = nodes[node_in_set].nid;
+      ::sycl::event& node_event = nodes_events_[node_in_set];
+      const auto& rid_span = row_set_collection[nid];
+      if (rid_span.Size() > 0) {
+        const RegTree::Node& node = (*p_tree)[nid];
+        xgboost::common::Span<size_t> rid_buf = GetData(node_in_set);
+        size_t* part_size = parts_size_.Data() + 2 * node_in_set;
+        int32_t split_condition = split_conditions[node_in_set];
+        switch (gmat.index.GetBinTypeSize()) {
+          case common::BinTypeSize::kUint8BinsTypeSize:
+            node_event = Partition<uint8_t>(split_condition, gmat, rid_span, node,
+                                            &rid_buf, part_size, *general_event);
+            break;
+          case common::BinTypeSize::kUint16BinsTypeSize:
+            node_event = Partition<uint16_t>(split_condition, gmat, rid_span, node,
+                                            &rid_buf, part_size, *general_event);
+            break;
+          case common::BinTypeSize::kUint32BinsTypeSize:
+            node_event = Partition<uint32_t>(split_condition, gmat, rid_span, node,
+                                            &rid_buf, part_size, *general_event);
+            break;
+          default:
+            CHECK(false);  // no default behavior
+        }
+      } else {
+        node_event = ::sycl::event();
+      }
+    }
+
+    *general_event = qu_->memcpy(result_rows_.data(),
+                                 parts_size_.DataConst(),
+                                 sizeof(size_t) * 2 * n_nodes_,
+                                 nodes_events_);
+  }
+
   void MergeToArray(size_t nid,
                     size_t* data_result,
-                    ::sycl::event event) {
+                    ::sycl::event* event) {
     size_t n_nodes_total = GetNLeftElems(nid) + GetNRightElems(nid);
     if (n_nodes_total > 0) {
       const size_t* data = data_.Data() + nodes_offsets_[nid];
-      qu_->memcpy(data_result, data, sizeof(size_t) * n_nodes_total, event);
+      qu_->memcpy(data_result, data, sizeof(size_t) * n_nodes_total, *event);
     }
   }
 
  protected:
   std::vector<size_t> nodes_offsets_;
   std::vector<size_t> result_rows_;
+  std::vector<::sycl::event> nodes_events_;
   size_t n_nodes_;
 
   USMVector<size_t, MemoryType::on_device> parts_size_;

plugin/sycl/data.h

@@ -171,20 +171,20 @@ class USMVector {
     }
   }
 
-  ::sycl::event ResizeAndFill(::sycl::queue* qu, size_t size_new, int v) {
+  void ResizeAndFill(::sycl::queue* qu, size_t size_new, int v, ::sycl::event* event) {
     if (size_new <= size_) {
       size_ = size_new;
-      return qu->memset(data_.get(), v, size_new * sizeof(T));
+      *event = qu->memset(data_.get(), v, size_new * sizeof(T), *event);
     } else if (size_new <= capacity_) {
       size_ = size_new;
-      return qu->memset(data_.get(), v, size_new * sizeof(T));
+      *event = qu->memset(data_.get(), v, size_new * sizeof(T), *event);
     } else {
       size_t size_old = size_;
       auto data_old = data_;
       size_ = size_new;
       capacity_ = size_new;
       data_ = allocate_memory_(qu, size_);
-      return qu->memset(data_.get(), v, size_new * sizeof(T));
+      *event = qu->memset(data_.get(), v, size_new * sizeof(T), *event);
     }
   }
 
@@ -211,11 +211,16 @@ class USMVector {
 struct DeviceMatrix {
   DMatrix* p_mat;  // Pointer to the original matrix on the host
   ::sycl::queue qu_;
-  USMVector<size_t> row_ptr;
+  USMVector<size_t, MemoryType::on_device> row_ptr;
   USMVector<Entry, MemoryType::on_device> data;
   size_t total_offset;
 
-  DeviceMatrix(::sycl::queue qu, DMatrix* dmat) : p_mat(dmat), qu_(qu) {
+  DeviceMatrix() = default;
+
+  void Init(::sycl::queue qu, DMatrix* dmat) {
+    qu_ = qu;
+    p_mat = dmat;
+
     size_t num_row = 0;
     size_t num_nonzero = 0;
     for (auto &batch : dmat->GetBatches<SparsePage>()) {
@@ -226,27 +231,41 @@ struct DeviceMatrix {
     }
 
     row_ptr.Resize(&qu_, num_row + 1);
+    size_t* rows = row_ptr.Data();
     data.Resize(&qu_, num_nonzero);
 
     size_t data_offset = 0;
+    ::sycl::event event;
     for (auto &batch : dmat->GetBatches<SparsePage>()) {
       const auto& data_vec = batch.data.HostVector();
       const auto& offset_vec = batch.offset.HostVector();
       size_t batch_size = batch.Size();
       if (batch_size > 0) {
-        std::copy(offset_vec.data(), offset_vec.data() + batch_size,
-                  row_ptr.Data() + batch.base_rowid);
-        if (batch.base_rowid > 0) {
-          for (size_t i = 0; i < batch_size; i++)
-            row_ptr[i + batch.base_rowid] += batch.base_rowid;
+        const auto base_rowid = batch.base_rowid;
+        event = qu.memcpy(row_ptr.Data() + base_rowid, offset_vec.data(),
+                          sizeof(size_t) * batch_size, event);
+        if (base_rowid > 0) {
+          qu.submit([&](::sycl::handler& cgh) {
+            cgh.depends_on(event);
+            cgh.parallel_for<>(::sycl::range<1>(batch_size), [=](::sycl::id<1> pid) {
+              int row_id = pid[0];
+              rows[row_id] += base_rowid;
+            });
+          });
         }
-        qu.memcpy(data.Data() + data_offset,
-                  data_vec.data(),
-                  offset_vec[batch_size] * sizeof(Entry)).wait();
+        event = qu.memcpy(data.Data() + data_offset, data_vec.data(),
+                          sizeof(Entry) * offset_vec[batch_size], event);
         data_offset += offset_vec[batch_size];
+        qu.wait();
       }
     }
-    row_ptr[num_row] = data_offset;
+    qu.submit([&](::sycl::handler& cgh) {
+      cgh.depends_on(event);
+      cgh.single_task<>([=] {
+        rows[num_row] = data_offset;
+      });
+    });
+    qu.wait();
     total_offset = data_offset;
   }
 

plugin/sycl/predictor/predictor.cc

@@ -280,7 +280,8 @@ class Predictor : public xgboost::Predictor {
                     uint32_t tree_end = 0) const override {
     ::sycl::queue qu = device_manager.GetQueue(ctx_->Device());
     // TODO(razdoburdin): remove temporary workaround after cache fix
-    sycl::DeviceMatrix device_matrix(qu, dmat);
+    sycl::DeviceMatrix device_matrix;
+    device_matrix.Init(qu, dmat);
 
     auto* out_preds = &predts->predictions;
     if (tree_end == 0) {

plugin/sycl/tree/expand_entry.h

@@ -0,0 +1,50 @@
+/*!
+ * Copyright 2017-2024 by Contributors
+ * \file expand_entry.h
+ */
+#ifndef PLUGIN_SYCL_TREE_EXPAND_ENTRY_H_
+#define PLUGIN_SYCL_TREE_EXPAND_ENTRY_H_
+
+#pragma GCC diagnostic push
+#pragma GCC diagnostic ignored "-Wtautological-constant-compare"
+#include "../../src/tree/constraints.h"
+#pragma GCC diagnostic pop
+#include "../../src/tree/hist/expand_entry.h"
+
+namespace xgboost {
+namespace sycl {
+namespace tree {
+/* tree growing policies */
+struct ExpandEntry : public xgboost::tree::ExpandEntryImpl<ExpandEntry> {
+  static constexpr bst_node_t kRootNid  = 0;
+
+  xgboost::tree::SplitEntry split;
+
+  ExpandEntry(int nid, int depth) : ExpandEntryImpl{nid, depth} {}
+
+  inline bst_node_t GetSiblingId(const xgboost::RegTree* p_tree) const {
+    CHECK_EQ((*p_tree)[nid].IsRoot(), false);
+    const size_t parent_id = (*p_tree)[nid].Parent();
+    return GetSiblingId(p_tree, parent_id);
+  }
+
+  inline bst_node_t GetSiblingId(const xgboost::RegTree* p_tree, size_t parent_id) const {
+    return p_tree->IsLeftChild(nid) ? p_tree->RightChild(parent_id)
+                                    : p_tree->LeftChild(parent_id);
+  }
+
+  bool IsValidImpl(xgboost::tree::TrainParam const &param, int32_t num_leaves) const {
+    if (split.loss_chg <= kRtEps) return false;
+    if (split.loss_chg < param.min_split_loss) return false;
+    if (param.max_depth > 0 && depth == param.max_depth) return false;
+    if (param.max_leaves > 0 && num_leaves == param.max_leaves) return false;
+
+    return true;
+  }
+};
+
+}  // namespace tree
+}  // namespace sycl
+}  // namespace xgboost
+
+#endif  // PLUGIN_SYCL_TREE_EXPAND_ENTRY_H_

tests/cpp/plugin/test_sycl_gradient_index.cc

@@ -49,7 +49,8 @@ TEST(SyclGradientIndex, Init) {
 
   auto p_fmat = RandomDataGenerator{n_rows, n_columns, 0.3}.GenerateDMatrix();
 
-  sycl::DeviceMatrix dmat(qu, p_fmat.get());
+  sycl::DeviceMatrix dmat;
+  dmat.Init(qu, p_fmat.get());
 
   int max_bins = 256;
   common::GHistIndexMatrix gmat_sycl;