xgboost::common::Transform< CompiledWithCuda > Class Template Reference

Do Transformation on HostDeviceVectors. More...

#include <transform.h>

Static Public Member Functions
template<typename Functor >
static Evaluator< Functor >	Init (Functor func, Range const range, int32_t n_threads, int32_t device_idx)
	Initialize a Transform object.

Detailed Description

template<bool CompiledWithCuda = WITH_CUDA()>
class xgboost::common::Transform< CompiledWithCuda >

Do Transformation on HostDeviceVectors.

Template Parameters

CompiledWithCuda

A bool parameter used to distinguish compilation trajectories, users do not need to use it.

Note: Using Transform is a VERY tricky thing to do. Transform uses template argument to duplicate itself into two different types, one for CPU, another for CUDA. The trick is not without its flaw:

If you use it in a function that can be compiled by both nvcc and host compiler, the behaviour is un-defined! Because your function is NOT duplicated by CompiledWithCuda. At link time, CUDA compiler resolution will merge functions with same signature.

Member Function Documentation

Init()

template<bool CompiledWithCuda = WITH_CUDA()>

template<typename Functor >

static Evaluator< Functor > xgboost::common::Transform< CompiledWithCuda >::Init ( Functor  func, Range const  range, int32_t  n_threads, int32_t  device_idx  )

inlinestatic

Initialize a Transform object.

Template Parameters

Functor

A callable object type.

Returns

A Evaluator having one method Eval.

Parameters

func	A callable object, accepting a size_t thread index, followed by a set of Span classes.
range	Range object specifying parallel threads index range.
n_threads	Number of CPU threads
device_idx	GPU device ordinal

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The documentation for this class was generated from the following file:

• External/xgboost/src/common/transform.h