[CI] Stop Windows pipeline upon a failing pytest (#10003)
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@ -260,12 +260,10 @@ bool NoInfInData(AdapterBatchT const& batch, IsValidFunctor is_valid) {
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auto counting = thrust::make_counting_iterator(0llu);
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auto value_iter = dh::MakeTransformIterator<bool>(counting, [=] XGBOOST_DEVICE(std::size_t idx) {
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auto v = batch.GetElement(idx).value;
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if (!is_valid(v)) {
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// discard the invalid elements.
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return true;
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if (is_valid(v) && isinf(v)) {
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return false;
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}
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// check that there's no inf in data.
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return !std::isinf(v);
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return true;
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});
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dh::XGBCachingDeviceAllocator<char> alloc;
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// The default implementation in thrust optimizes any_of/none_of/all_of by using small
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@ -1,5 +1,5 @@
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/**
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* Copyright 2019-2023 by XGBoost contributors
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* Copyright 2019-2024, XGBoost contributors
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*/
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#include <thrust/iterator/discard_iterator.h>
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#include <thrust/iterator/transform_output_iterator.h>
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@ -13,7 +13,7 @@
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#include "../common/hist_util.cuh"
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#include "../common/transform_iterator.h" // MakeIndexTransformIter
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#include "./ellpack_page.cuh"
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#include "device_adapter.cuh" // for HasInfInData
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#include "device_adapter.cuh" // for NoInfInData
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#include "ellpack_page.h"
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#include "gradient_index.h"
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#include "xgboost/data.h"
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@ -1,5 +1,5 @@
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/**
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* Copyright 2019-2023 by XGBoost Contributors
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* Copyright 2019-2024, XGBoost Contributors
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* \file simple_dmatrix.cuh
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*/
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#ifndef XGBOOST_DATA_SIMPLE_DMATRIX_CUH_
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@ -11,7 +11,7 @@
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#include "../common/device_helpers.cuh"
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#include "../common/error_msg.h" // for InfInData
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#include "device_adapter.cuh" // for HasInfInData
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#include "device_adapter.cuh" // for NoInfInData
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namespace xgboost::data {
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@ -32,6 +32,8 @@ Foreach-Object {
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Write-Host "--- Run Python tests"
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python -X faulthandler -m pytest -v -s -rxXs --fulltrace tests/python
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if ($LASTEXITCODE -ne 0) { throw "Last command failed" }
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Write-Host "--- Run Python tests with GPU"
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python -X faulthandler -m pytest -v -s -rxXs --fulltrace -m "(not slow) and (not mgpu)"`
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tests/python-gpu
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if ($LASTEXITCODE -ne 0) { throw "Last command failed" }
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@ -152,6 +152,7 @@ class TestGPUPredict:
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@pytest.mark.parametrize("device", ["cpu", "cuda"])
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@pytest.mark.skipif(**tm.no_cupy())
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@pytest.mark.skipif(**tm.no_cudf())
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def test_inplace_predict_device_type(self, device: str) -> None:
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"""Test inplace predict with different device and data types.
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@ -249,7 +249,7 @@ def test_custom_objective(
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clf.fit(X, y)
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@pytest.mark.skipif(**tm.no_pandas())
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@pytest.mark.skipif(**tm.no_cudf())
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def test_ranking_qid_df():
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import cudf
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