Make HostDeviceVector single gpu only (#4773)
* Make HostDeviceVector single gpu only
This commit is contained in:
@@ -19,10 +19,8 @@ struct GenericParameter : public dmlc::Parameter<GenericParameter> {
|
||||
// number of threads to use if OpenMP is enabled
|
||||
// if equals 0, use system default
|
||||
int nthread;
|
||||
// primary device.
|
||||
// primary device, -1 means no gpu.
|
||||
int gpu_id;
|
||||
// number of devices to use, -1 implies using all available devices.
|
||||
int n_gpus;
|
||||
// declare parameters
|
||||
DMLC_DECLARE_PARAMETER(GenericParameter) {
|
||||
DMLC_DECLARE_FIELD(seed).set_default(0).describe(
|
||||
@@ -36,15 +34,20 @@ struct GenericParameter : public dmlc::Parameter<GenericParameter> {
|
||||
DMLC_DECLARE_FIELD(nthread).set_default(0).describe(
|
||||
"Number of threads to use.");
|
||||
DMLC_DECLARE_FIELD(gpu_id)
|
||||
.set_default(0)
|
||||
.set_default(-1)
|
||||
.set_lower_bound(-1)
|
||||
.describe("The primary GPU device ordinal.");
|
||||
DMLC_DECLARE_FIELD(n_gpus)
|
||||
.set_default(0)
|
||||
.set_range(0, 1)
|
||||
.set_range(0, 0)
|
||||
.describe("Deprecated. Single process multi-GPU training is no longer supported. "
|
||||
"Please switch to distributed training with one process per GPU. "
|
||||
"This can be done using Dask or Spark.");
|
||||
}
|
||||
|
||||
private:
|
||||
// number of devices to use (deprecated).
|
||||
int n_gpus;
|
||||
};
|
||||
} // namespace xgboost
|
||||
|
||||
|
||||
Reference in New Issue
Block a user