Import data lazily during tests. (#9176)
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@@ -28,8 +28,7 @@ def train_result(param, dmat, num_rounds):
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class TestGPULinear:
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@given(parameter_strategy, strategies.integers(10, 50),
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tm.dataset_strategy)
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@given(parameter_strategy, strategies.integers(10, 50), tm.make_dataset_strategy())
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@settings(deadline=None, max_examples=20, print_blob=True)
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def test_gpu_coordinate(self, param, num_rounds, dataset):
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assume(len(dataset.y) > 0)
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@@ -45,7 +44,7 @@ class TestGPULinear:
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@given(
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parameter_strategy,
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strategies.integers(10, 50),
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tm.dataset_strategy,
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tm.make_dataset_strategy(),
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strategies.floats(1e-5, 0.8),
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strategies.floats(1e-5, 0.8)
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)
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@@ -265,8 +265,9 @@ class TestGPUPredict:
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base_margin = cudf.Series(rng.randn(rows))
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self.run_inplace_base_margin(booster, dtrain, X, base_margin)
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@given(strategies.integers(1, 10),
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tm.dataset_strategy, shap_parameter_strategy)
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@given(
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strategies.integers(1, 10), tm.make_dataset_strategy(), shap_parameter_strategy
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)
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@settings(deadline=None, max_examples=20, print_blob=True)
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def test_shap(self, num_rounds, dataset, param):
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if dataset.name.endswith("-l1"): # not supported by the exact tree method
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@@ -281,8 +282,9 @@ class TestGPUPredict:
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assume(len(dataset.y) > 0)
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assert np.allclose(np.sum(shap, axis=len(shap.shape) - 1), margin, 1e-3, 1e-3)
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@given(strategies.integers(1, 10),
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tm.dataset_strategy, shap_parameter_strategy)
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@given(
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strategies.integers(1, 10), tm.make_dataset_strategy(), shap_parameter_strategy
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)
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@settings(deadline=None, max_examples=10, print_blob=True)
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def test_shap_interactions(self, num_rounds, dataset, param):
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if dataset.name.endswith("-l1"): # not supported by the exact tree method
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@@ -335,7 +337,7 @@ class TestGPUPredict:
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np.testing.assert_equal(cpu_leaf, gpu_leaf)
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@given(predict_parameter_strategy, tm.dataset_strategy)
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@given(predict_parameter_strategy, tm.make_dataset_strategy())
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@settings(deadline=None, max_examples=20, print_blob=True)
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def test_predict_leaf_gbtree(self, param, dataset):
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# Unsupported for random forest
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@@ -346,7 +348,7 @@ class TestGPUPredict:
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param['tree_method'] = 'gpu_hist'
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self.run_predict_leaf_booster(param, 10, dataset)
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@given(predict_parameter_strategy, tm.dataset_strategy)
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@given(predict_parameter_strategy, tm.make_dataset_strategy())
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@settings(deadline=None, max_examples=20, print_blob=True)
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def test_predict_leaf_dart(self, param: dict, dataset: tm.TestDataset) -> None:
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# Unsupported for random forest
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@@ -48,7 +48,9 @@ class TestGPUUpdatersMulti:
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class TestGPUUpdaters:
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cputest = test_up.TestTreeMethod()
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@given(hist_parameter_strategy, strategies.integers(1, 20), tm.dataset_strategy)
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@given(
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hist_parameter_strategy, strategies.integers(1, 20), tm.make_dataset_strategy()
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)
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@settings(deadline=None, max_examples=50, print_blob=True)
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def test_gpu_hist(self, param, num_rounds, dataset):
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param["tree_method"] = "gpu_hist"
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@@ -150,7 +152,7 @@ class TestGPUUpdaters:
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@given(
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hist_parameter_strategy,
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strategies.integers(1, 20),
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tm.dataset_strategy
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tm.make_dataset_strategy(),
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)
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@settings(deadline=None, max_examples=20, print_blob=True)
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def test_gpu_hist_device_dmatrix(
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@@ -171,7 +173,7 @@ class TestGPUUpdaters:
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@given(
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hist_parameter_strategy,
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strategies.integers(1, 3),
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tm.dataset_strategy
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tm.make_dataset_strategy(),
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)
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@settings(deadline=None, max_examples=10, print_blob=True)
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def test_external_memory(self, param, num_rounds, dataset):
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@@ -213,7 +215,7 @@ class TestGPUUpdaters:
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np.testing.assert_allclose(predictions, 0.0, 1e-6)
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@pytest.mark.mgpu
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@given(tm.dataset_strategy, strategies.integers(0, 10))
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@given(tm.make_dataset_strategy(), strategies.integers(0, 10))
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@settings(deadline=None, max_examples=10, print_blob=True)
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def test_specified_gpu_id_gpu_update(self, dataset, gpu_id):
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param = {'tree_method': 'gpu_hist', 'gpu_id': gpu_id}
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