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Configuration for init estimation. (#8343)

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* Configuration for init estimation.

* Check whether the model needs configuration based on const attribute `ModelFitted`
instead of a mutable state.
* Add parameter `boost_from_average` to tell whether the user has specified base score.
* Add tests.
This commit is contained in:
Jiaming Yuan
2022-10-18 01:52:24 +08:00
committed by GitHub
parent 2176e511fc
commit 031d66ec27
10 changed files with 247 additions and 111 deletions
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4
src/common/host_device_vector.cu
View File

@@ -162,6 +162,10 @@ class HostDeviceVectorImpl {
if (device_ >= 0) {
LazySyncHost(GPUAccess::kNone);
}
if (device_ >= 0 && device >= 0) {
CHECK_EQ(device_, device) << "New device ordinal is different from previous one.";
}
device_ = device;
if (device_ >= 0) {
LazyResizeDevice(data_h_.size());

6
src/common/linalg_op.h
View File

@@ -3,8 +3,8 @@
*/
#ifndef XGBOOST_COMMON_LINALG_OP_H_
#define XGBOOST_COMMON_LINALG_OP_H_
#include <type_traits>
#include <cstdint> // std::int32_t
#include <type_traits>
#include "common.h"
#include "threading_utils.h"
@@ -43,12 +43,12 @@ void ElementWiseKernelHost(linalg::TensorView<T, D> t, int32_t n_threads, Fn&& f
#if !defined(XGBOOST_USE_CUDA)
template <typename T, int32_t D, typename Fn>
void ElementWiseKernelDevice(linalg::TensorView<T, D> t, Fn&& fn, void* s = nullptr) {
void ElementWiseKernelDevice(linalg::TensorView<T, D>, Fn&&, void* = nullptr) {
common::AssertGPUSupport();
}
template <typename T, int32_t D, typename Fn>
void ElementWiseTransformDevice(linalg::TensorView<T, D> t, Fn&& fn, void* s = nullptr) {
void ElementWiseTransformDevice(linalg::TensorView<T, D>, Fn&&, void* = nullptr) {
common::AssertGPUSupport();
}