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.
This commit is contained in:
Jiaming Yuan
2021-02-02 11:41:46 +08:00
committed by GitHub
parent 87ab1ad607
commit 411592a347
22 changed files with 955 additions and 530 deletions

View File

@@ -141,6 +141,13 @@ class TestGPUPredict:
assert np.allclose(cpu_train_score, gpu_train_score)
assert np.allclose(cpu_test_score, gpu_test_score)
def run_inplace_base_margin(self, booster, dtrain, X, base_margin):
import cupy as cp
dtrain.set_info(base_margin=base_margin)
from_inplace = booster.inplace_predict(data=X, base_margin=base_margin)
from_dmatrix = booster.predict(dtrain)
cp.testing.assert_allclose(from_inplace, from_dmatrix)
@pytest.mark.skipif(**tm.no_cupy())
def test_inplace_predict_cupy(self):
import cupy as cp
@@ -175,6 +182,9 @@ class TestGPUPredict:
for i in range(10):
run_threaded_predict(X, rows, predict_dense)
base_margin = cp_rng.randn(rows)
self.run_inplace_base_margin(booster, dtrain, X, base_margin)
@pytest.mark.skipif(**tm.no_cudf())
def test_inplace_predict_cudf(self):
import cupy as cp
@@ -208,6 +218,9 @@ class TestGPUPredict:
for i in range(10):
run_threaded_predict(X, rows, predict_df)
base_margin = cudf.Series(rng.randn(rows))
self.run_inplace_base_margin(booster, dtrain, X, base_margin)
@given(strategies.integers(1, 10),
tm.dataset_strategy, shap_parameter_strategy)
@settings(deadline=None)