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Use the new DeviceOrd in the linalg module. (#9527)

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This commit is contained in:
Jiaming Yuan
2023-08-29 13:37:29 +08:00
committed by GitHub
parent 942b957eef
commit ddf2e68821
43 changed files with 252 additions and 273 deletions
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2
tests/cpp/predictor/test_gpu_predictor.cu
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@@ -226,7 +226,7 @@ TEST(GPUPredictor, ShapStump) {
auto dmat = RandomDataGenerator(3, 1, 0).GenerateDMatrix();
gpu_predictor->PredictContribution(dmat.get(), &predictions, model);
auto& phis = predictions.HostVector();
auto base_score = mparam.BaseScore(Context::kCpuId)(0);
auto base_score = mparam.BaseScore(DeviceOrd::CPU())(0);
EXPECT_EQ(phis[0], 0.0);
EXPECT_EQ(phis[1], base_score);
EXPECT_EQ(phis[2], 0.0);

2
tests/cpp/predictor/test_predictor.cc
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@@ -287,7 +287,7 @@ void TestCategoricalPrediction(Context const* ctx, bool is_column_split) {
predictor->InitOutPredictions(m->Info(), &out_predictions.predictions, model);
predictor->PredictBatch(m.get(), &out_predictions, model, 0);
auto score = mparam.BaseScore(Context::kCpuId)(0);
auto score = mparam.BaseScore(DeviceOrd::CPU())(0);
ASSERT_EQ(out_predictions.predictions.Size(), 1ul);
ASSERT_EQ(out_predictions.predictions.HostVector()[0],
right_weight + score); // go to right for matching cat