Enable distributed GPU training over Rabit (#7930)
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@@ -339,7 +339,6 @@ TEST(GPUQuantile, MultiMerge) {
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TEST(GPUQuantile, AllReduceBasic) {
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// This test is supposed to run by a python test that setups the environment.
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std::string msg {"Skipping AllReduce test"};
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#if defined(__linux__) && defined(XGBOOST_USE_NCCL)
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auto n_gpus = AllVisibleGPUs();
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InitRabitContext(msg, n_gpus);
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auto world = rabit::GetWorldSize();
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@@ -420,15 +419,10 @@ TEST(GPUQuantile, AllReduceBasic) {
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}
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});
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rabit::Finalize();
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#else
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LOG(WARNING) << msg;
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return;
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#endif // !defined(__linux__) && defined(XGBOOST_USE_NCCL)
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}
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TEST(GPUQuantile, SameOnAllWorkers) {
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std::string msg {"Skipping SameOnAllWorkers test"};
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#if defined(__linux__) && defined(XGBOOST_USE_NCCL)
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auto n_gpus = AllVisibleGPUs();
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InitRabitContext(msg, n_gpus);
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auto world = rabit::GetWorldSize();
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@@ -495,10 +489,6 @@ TEST(GPUQuantile, SameOnAllWorkers) {
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offset += size_as_float;
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}
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});
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#else
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LOG(WARNING) << msg;
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return;
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#endif // !defined(__linux__) && defined(XGBOOST_USE_NCCL)
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}
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TEST(GPUQuantile, Push) {
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@@ -4,7 +4,6 @@
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*/
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#include "test_transform_range.cc"
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#if defined(XGBOOST_USE_NCCL)
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namespace xgboost {
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namespace common {
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@@ -15,7 +14,7 @@ TEST(Transform, MGPU_SpecifiedGpuId) { // NOLINT
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}
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// Use 1 GPU, Numbering of GPU starts from 1
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auto device = 1;
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const size_t size {256};
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auto const size {256};
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std::vector<bst_float> h_in(size);
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std::vector<bst_float> h_out(size);
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std::iota(h_in.begin(), h_in.end(), 0);
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@@ -34,4 +33,3 @@ TEST(Transform, MGPU_SpecifiedGpuId) { // NOLINT
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} // namespace common
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} // namespace xgboost
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#endif
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