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More explict sharding methods for device memory (#4396)

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* Rename the Reshard method to Shard

* Add a new Reshard method for sharding a vector that's already sharded
This commit is contained in:
Rong Ou
2019-04-30 16:47:23 -07:00
committed by Rory Mitchell
parent 797ba8e72d
commit eaab364a63
12 changed files with 154 additions and 77 deletions
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4
src/tree/updater_gpu_hist.cu
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@@ -836,7 +836,7 @@ struct DeviceShard {
for (auto i = 0ull; i < nidxs.size(); i++) {
auto nidx = nidxs[i];
auto p_feature_set = column_sampler.GetFeatureSet(tree.GetDepth(nidx));
p_feature_set->Reshard(GPUSet(device_id, 1));
p_feature_set->Shard(GPUSet(device_id, 1));
auto d_feature_set = p_feature_set->DeviceSpan(device_id);
auto d_split_candidates =
d_split_candidates_all.subspan(i * num_columns, d_feature_set.size());
@@ -1527,7 +1527,7 @@ class GPUHistMakerSpecialised{
return false;
}
monitor_.StartCuda("UpdatePredictionCache");
p_out_preds->Reshard(dist_.Devices());
p_out_preds->Shard(dist_.Devices());
dh::ExecuteIndexShards(
&shards_,
[&](int idx, std::unique_ptr<DeviceShard<GradientSumT>>& shard) {