Add use_rmm flag to global configuration (#6656)
* Ensure RMM is 0.18 or later * Add use_rmm flag to global configuration * Modify XGBCachingDeviceAllocatorImpl to skip CUB when use_rmm=True * Update the demo * [CI] Pin NumPy to 1.19.4, since NumPy 1.19.5 doesn't work with latest Shap
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@@ -16,11 +16,15 @@ class Json;
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struct GlobalConfiguration : public XGBoostParameter<GlobalConfiguration> {
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int verbosity { 1 };
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bool use_rmm { false };
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DMLC_DECLARE_PARAMETER(GlobalConfiguration) {
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DMLC_DECLARE_FIELD(verbosity)
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.set_range(0, 3)
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.set_default(1) // shows only warning
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.describe("Flag to print out detailed breakdown of runtime.");
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DMLC_DECLARE_FIELD(use_rmm)
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.set_default(false)
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.describe("Whether to use RAPIDS Memory Manager to allocate GPU memory in XGBoost");
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}
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};
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