57 lines
1.7 KiB
C++
57 lines
1.7 KiB
C++
/*!
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* Copyright 2014-2019 by Contributors
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* \file learner.cc
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*/
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#ifndef XGBOOST_GENERIC_PARAMETERS_H_
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#define XGBOOST_GENERIC_PARAMETERS_H_
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#include <dmlc/parameter.h>
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#include <xgboost/enum_class_param.h>
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#include <string>
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namespace xgboost {
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struct GenericParameter : public dmlc::Parameter<GenericParameter> {
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// stored random seed
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int seed;
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// whether seed the PRNG each iteration
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bool seed_per_iteration;
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// number of threads to use if OpenMP is enabled
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// if equals 0, use system default
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int nthread;
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// primary device, -1 means no gpu.
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int gpu_id;
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// declare parameters
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DMLC_DECLARE_PARAMETER(GenericParameter) {
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DMLC_DECLARE_FIELD(seed).set_default(0).describe(
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"Random number seed during training.");
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DMLC_DECLARE_FIELD(seed_per_iteration)
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.set_default(false)
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.describe(
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"Seed PRNG determnisticly via iterator number, "
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"this option will be switched on automatically on distributed "
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"mode.");
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DMLC_DECLARE_FIELD(nthread).set_default(0).describe(
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"Number of threads to use.");
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DMLC_DECLARE_ALIAS(nthread, n_jobs);
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DMLC_DECLARE_FIELD(gpu_id)
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.set_default(-1)
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.set_lower_bound(-1)
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.describe("The primary GPU device ordinal.");
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DMLC_DECLARE_FIELD(n_gpus)
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.set_default(0)
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.set_range(0, 0)
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.describe("Deprecated. Single process multi-GPU training is no longer supported. "
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"Please switch to distributed training with one process per GPU. "
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"This can be done using Dask or Spark.");
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}
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private:
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// number of devices to use (deprecated).
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int n_gpus;
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};
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} // namespace xgboost
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#endif // XGBOOST_GENERIC_PARAMETERS_H_
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