Remove omp_get_max_threads in data. (#7588)
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@@ -1,5 +1,5 @@
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/*!
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* Copyright 2014~2021 by Contributors
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* Copyright 2014~2022 by XGBoost Contributors
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* \file simple_dmatrix.cc
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* \brief the input data structure for gradient boosting
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* \author Tianqi Chen
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@@ -55,7 +55,7 @@ BatchSet<SparsePage> SimpleDMatrix::GetRowBatches() {
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BatchSet<CSCPage> SimpleDMatrix::GetColumnBatches() {
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// column page doesn't exist, generate it
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if (!column_page_) {
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column_page_.reset(new CSCPage(sparse_page_->GetTranspose(info_.num_col_)));
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column_page_.reset(new CSCPage(sparse_page_->GetTranspose(info_.num_col_, ctx_.Threads())));
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}
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auto begin_iter =
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BatchIterator<CSCPage>(new SimpleBatchIteratorImpl<CSCPage>(column_page_));
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@@ -66,7 +66,7 @@ BatchSet<SortedCSCPage> SimpleDMatrix::GetSortedColumnBatches() {
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// Sorted column page doesn't exist, generate it
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if (!sorted_column_page_) {
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sorted_column_page_.reset(
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new SortedCSCPage(sparse_page_->GetTranspose(info_.num_col_)));
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new SortedCSCPage(sparse_page_->GetTranspose(info_.num_col_, ctx_.Threads())));
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sorted_column_page_->SortRows();
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}
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auto begin_iter = BatchIterator<SortedCSCPage>(
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@@ -99,7 +99,8 @@ BatchSet<GHistIndexMatrix> SimpleDMatrix::GetGradientIndex(const BatchParam& par
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CHECK_EQ(param.gpu_id, -1);
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// Used only by approx.
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auto sorted_sketch = param.regen;
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gradient_index_.reset(new GHistIndexMatrix(this, param.max_bin, sorted_sketch, param.hess));
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gradient_index_.reset(
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new GHistIndexMatrix(this, param.max_bin, sorted_sketch, this->ctx_.Threads(), param.hess));
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batch_param_ = param;
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CHECK_EQ(batch_param_.hess.data(), param.hess.data());
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}
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@@ -110,6 +111,8 @@ BatchSet<GHistIndexMatrix> SimpleDMatrix::GetGradientIndex(const BatchParam& par
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template <typename AdapterT>
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SimpleDMatrix::SimpleDMatrix(AdapterT* adapter, float missing, int nthread) {
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this->ctx_.nthread = nthread;
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std::vector<uint64_t> qids;
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uint64_t default_max = std::numeric_limits<uint64_t>::max();
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uint64_t last_group_id = default_max;
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@@ -124,7 +127,7 @@ SimpleDMatrix::SimpleDMatrix(AdapterT* adapter, float missing, int nthread) {
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// Iterate over batches of input data
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while (adapter->Next()) {
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auto& batch = adapter->Value();
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auto batch_max_columns = sparse_page_->Push(batch, missing, nthread);
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auto batch_max_columns = sparse_page_->Push(batch, missing, ctx_.Threads());
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inferred_num_columns = std::max(batch_max_columns, inferred_num_columns);
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total_batch_size += batch.Size();
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// Append meta information if available
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