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@ -860,10 +860,21 @@ class LearnerConfiguration : public Learner {
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}
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void InitEstimation(MetaInfo const& info, linalg::Tensor<float, 1>* base_score) {
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#ifndef XGBOOST_USE_HIP
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base_score->Reshape(1);
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collective::ApplyWithLabels(info, base_score->Data()->HostPointer(),
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sizeof(bst_float) * base_score->Size(),
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[&] { UsePtr(obj_)->InitEstimation(info, base_score); });
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#else
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if (info.IsVerticalFederated()) {
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base_score->Reshape(1);
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collective::ApplyWithLabels(info, base_score->Data()->HostPointer(),
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sizeof(bst_float) * base_score->Size(),
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[&] { UsePtr(obj_)->InitEstimation(info, base_score); });
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} else {
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UsePtr(obj_)->InitEstimation(info, base_score);
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}
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#endif
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}
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};
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@ -1475,10 +1486,21 @@ class LearnerImpl : public LearnerIO {
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private:
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void GetGradient(HostDeviceVector<bst_float> const& preds, MetaInfo const& info, int iteration,
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HostDeviceVector<GradientPair>* out_gpair) {
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#ifndef XGBOOST_USE_HIP
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out_gpair->Resize(preds.Size());
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collective::ApplyWithLabels(info, out_gpair->HostPointer(),
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out_gpair->Size() * sizeof(GradientPair),
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[&] { obj_->GetGradient(preds, info, iteration, out_gpair); });
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#else
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if (info.IsVerticalFederated()) {
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out_gpair->Resize(preds.Size());
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collective::ApplyWithLabels(info, out_gpair->HostPointer(),
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out_gpair->Size() * sizeof(GradientPair),
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[&] { obj_->GetGradient(preds, info, iteration, out_gpair); });
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} else {
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obj_->GetGradient(preds, info, iteration, out_gpair);
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}
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#endif
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}
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/*! \brief random number transformation seed. */
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