Enhance inplace prediction. (#6653)
* Accept array interface for csr and array. * Accept an optional proxy dmatrix for metainfo. This constructs an explicit `_ProxyDMatrix` type in Python. * Remove unused doc. * Add strict output.
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@@ -1,5 +1,5 @@
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/*!
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* Copyright 2020 by Contributors
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* Copyright 2020-2021 by Contributors
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*/
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#include <gtest/gtest.h>
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@@ -104,21 +104,24 @@ void TestInplacePrediction(dmlc::any x, std::string predictor,
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}
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HostDeviceVector<float> *p_out_predictions_0{nullptr};
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learner->InplacePredict(x, "margin", std::numeric_limits<float>::quiet_NaN(),
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learner->InplacePredict(x, nullptr, PredictionType::kMargin,
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std::numeric_limits<float>::quiet_NaN(),
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&p_out_predictions_0, 0, 2);
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CHECK(p_out_predictions_0);
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HostDeviceVector<float> predict_0 (p_out_predictions_0->Size());
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predict_0.Copy(*p_out_predictions_0);
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HostDeviceVector<float> *p_out_predictions_1{nullptr};
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learner->InplacePredict(x, "margin", std::numeric_limits<float>::quiet_NaN(),
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learner->InplacePredict(x, nullptr, PredictionType::kMargin,
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std::numeric_limits<float>::quiet_NaN(),
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&p_out_predictions_1, 2, 4);
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CHECK(p_out_predictions_1);
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HostDeviceVector<float> predict_1 (p_out_predictions_1->Size());
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predict_1.Copy(*p_out_predictions_1);
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HostDeviceVector<float>* p_out_predictions{nullptr};
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learner->InplacePredict(x, "margin", std::numeric_limits<float>::quiet_NaN(),
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learner->InplacePredict(x, nullptr, PredictionType::kMargin,
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std::numeric_limits<float>::quiet_NaN(),
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&p_out_predictions, 0, 4);
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auto& h_pred = p_out_predictions->HostVector();
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