Run training with empty DMatrix. (#4990)

This makes GPU Hist robust in distributed environment as some workers might not
be associated with any data in either training or evaluation.

* Disable rabit mock test for now: See #5012 .

* Disable dask-cudf test at prediction for now: See #5003

* Launch dask job for all workers despite they might not have any data.
* Check 0 rows in elementwise evaluation metrics.

   Using AUC and AUC-PR still throws an error.  See #4663 for a robust fix.

* Add tests for edge cases.
* Add `LaunchKernel` wrapper handling zero sized grid.
* Move some parts of allreducer into a cu file.
* Don't validate feature names when the booster is empty.

* Sync number of columns in DMatrix.

  As num_feature is required to be the same across all workers in data split
  mode.

* Filtering in dask interface now by default syncs all booster that's not
empty, instead of using rank 0.

* Fix Jenkins' GPU tests.

* Install dask-cuda from source in Jenkins' test.

  Now all tests are actually running.

* Restore GPU Hist tree synchronization test.

* Check UUID of running devices.

  The check is only performed on CUDA version >= 10.x, as 9.x doesn't have UUID field.

* Fix CMake policy and project variables.

  Use xgboost_SOURCE_DIR uniformly, add policy for CMake >= 3.13.

* Fix copying data to CPU

* Fix race condition in cpu predictor.

* Fix duplicated DMatrix construction.

* Don't download extra nccl in CI script.
This commit is contained in:
Jiaming Yuan
2019-11-06 16:13:13 +08:00
committed by GitHub
parent 807a244517
commit 7663de956c
44 changed files with 603 additions and 272 deletions

View File

@@ -165,10 +165,11 @@ __global__ void ClearBuffersKernel(
void FeatureInteractionConstraint::ClearBuffers() {
CHECK_EQ(output_buffer_bits_.Size(), input_buffer_bits_.Size());
CHECK_LE(feature_buffer_.Size(), output_buffer_bits_.Size());
int constexpr kBlockThreads = 256;
const int n_grids = static_cast<int>(
uint32_t constexpr kBlockThreads = 256;
auto const n_grids = static_cast<uint32_t>(
common::DivRoundUp(input_buffer_bits_.Size(), kBlockThreads));
ClearBuffersKernel<<<n_grids, kBlockThreads>>>(
dh::LaunchKernel {n_grids, kBlockThreads} (
ClearBuffersKernel,
output_buffer_bits_, input_buffer_bits_);
}
@@ -222,12 +223,14 @@ common::Span<int32_t> FeatureInteractionConstraint::Query(
LBitField64 node_constraints = s_node_constraints_[nid];
CHECK_EQ(input_buffer_bits_.Size(), output_buffer_bits_.Size());
int constexpr kBlockThreads = 256;
const int n_grids = static_cast<int>(
uint32_t constexpr kBlockThreads = 256;
auto n_grids = static_cast<uint32_t>(
common::DivRoundUp(output_buffer_bits_.Size(), kBlockThreads));
SetInputBufferKernel<<<n_grids, kBlockThreads>>>(feature_list, input_buffer_bits_);
QueryFeatureListKernel<<<n_grids, kBlockThreads>>>(
dh::LaunchKernel {n_grids, kBlockThreads} (
SetInputBufferKernel,
feature_list, input_buffer_bits_);
dh::LaunchKernel {n_grids, kBlockThreads} (
QueryFeatureListKernel,
node_constraints, input_buffer_bits_, output_buffer_bits_);
thrust::counting_iterator<int32_t> begin(0);
@@ -327,20 +330,20 @@ void FeatureInteractionConstraint::Split(
dim3 const block3(16, 64, 1);
dim3 const grid3(common::DivRoundUp(n_sets_, 16),
common::DivRoundUp(s_fconstraints_.size(), 64));
RestoreFeatureListFromSetsKernel<<<grid3, block3>>>
(feature_buffer_,
feature_id,
s_fconstraints_,
s_fconstraints_ptr_,
s_sets_,
s_sets_ptr_);
dh::LaunchKernel {grid3, block3} (
RestoreFeatureListFromSetsKernel,
feature_buffer_, feature_id,
s_fconstraints_, s_fconstraints_ptr_,
s_sets_, s_sets_ptr_);
int constexpr kBlockThreads = 256;
const int n_grids = static_cast<int>(common::DivRoundUp(node.Size(), kBlockThreads));
InteractionConstraintSplitKernel<<<n_grids, kBlockThreads>>>
(feature_buffer_,
feature_id,
node, left, right);
uint32_t constexpr kBlockThreads = 256;
auto n_grids = static_cast<uint32_t>(common::DivRoundUp(node.Size(), kBlockThreads));
dh::LaunchKernel {n_grids, kBlockThreads} (
InteractionConstraintSplitKernel,
feature_buffer_,
feature_id,
node, left, right);
}
} // namespace xgboost