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[Breaking] Switch from rabit to the collective communicator (#8257)

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* Switch from rabit to the collective communicator

* fix size_t specialization

* really fix size_t

* try again

* add include

* more include

* fix lint errors

* remove rabit includes

* fix pylint error

* return dict from communicator context

* fix communicator shutdown

* fix dask test

* reset communicator mocklist

* fix distributed tests

* do not save device communicator

* fix jvm gpu tests

* add python test for federated communicator

* Update gputreeshap submodule

Co-authored-by: Hyunsu Philip Cho <chohyu01@cs.washington.edu>
This commit is contained in:
Rong Ou
2022-10-05 15:39:01 -07:00
committed by GitHub
parent e47b3a3da3
commit 668b8a0ea4
79 changed files with 805 additions and 2212 deletions
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33
tests/cpp/common/test_quantile.cu
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@@ -1,6 +1,7 @@
#include <gtest/gtest.h>
#include "test_quantile.h"
#include "../helpers.h"
#include "../../../src/collective/device_communicator.cuh"
#include "../../../src/common/hist_util.cuh"
#include "../../../src/common/quantile.cuh"
@@ -341,17 +342,14 @@ TEST(GPUQuantile, AllReduceBasic) {
// This test is supposed to run by a python test that setups the environment.
std::string msg {"Skipping AllReduce test"};
auto n_gpus = AllVisibleGPUs();
InitRabitContext(msg, n_gpus);
auto world = rabit::GetWorldSize();
InitCommunicatorContext(msg, n_gpus);
auto world = collective::GetWorldSize();
if (world != 1) {
ASSERT_EQ(world, n_gpus);
} else {
return;
}
auto reducer = std::make_shared<dh::AllReducer>();
reducer->Init(0);
constexpr size_t kRows = 1000, kCols = 100;
RunWithSeedsAndBins(kRows, [=](int32_t seed, size_t n_bins, MetaInfo const& info) {
// Set up single node version;
@@ -385,8 +383,8 @@ TEST(GPUQuantile, AllReduceBasic) {
// Set up distributed version. We rely on using rank as seed to generate
// the exact same copy of data.
auto rank = rabit::GetRank();
SketchContainer sketch_distributed(ft, n_bins, kCols, kRows, 0, reducer);
auto rank = collective::GetRank();
SketchContainer sketch_distributed(ft, n_bins, kCols, kRows, 0);
HostDeviceVector<float> storage;
std::string interface_str = RandomDataGenerator{kRows, kCols, 0}
.Device(0)
@@ -422,28 +420,26 @@ TEST(GPUQuantile, AllReduceBasic) {
ASSERT_NEAR(single_node_data[i].wmin, distributed_data[i].wmin, Eps);
}
});
rabit::Finalize();
collective::Finalize();
}
TEST(GPUQuantile, SameOnAllWorkers) {
std::string msg {"Skipping SameOnAllWorkers test"};
auto n_gpus = AllVisibleGPUs();
InitRabitContext(msg, n_gpus);
auto world = rabit::GetWorldSize();
InitCommunicatorContext(msg, n_gpus);
auto world = collective::GetWorldSize();
if (world != 1) {
ASSERT_EQ(world, n_gpus);
} else {
return;
}
auto reducer = std::make_shared<dh::AllReducer>();
reducer->Init(0);
constexpr size_t kRows = 1000, kCols = 100;
RunWithSeedsAndBins(kRows, [=](int32_t seed, size_t n_bins,
MetaInfo const &info) {
auto rank = rabit::GetRank();
auto rank = collective::GetRank();
HostDeviceVector<FeatureType> ft;
SketchContainer sketch_distributed(ft, n_bins, kCols, kRows, 0, reducer);
SketchContainer sketch_distributed(ft, n_bins, kCols, kRows, 0);
HostDeviceVector<float> storage;
std::string interface_str = RandomDataGenerator{kRows, kCols, 0}
.Device(0)
@@ -459,7 +455,7 @@ TEST(GPUQuantile, SameOnAllWorkers) {
// Test for all workers having the same sketch.
size_t n_data = sketch_distributed.Data().size();
rabit::Allreduce<rabit::op::Max>(&n_data, 1);
collective::Allreduce<collective::Operation::kMax>(&n_data, 1);
ASSERT_EQ(n_data, sketch_distributed.Data().size());
size_t size_as_float =
sketch_distributed.Data().size_bytes() / sizeof(float);
@@ -472,9 +468,10 @@ TEST(GPUQuantile, SameOnAllWorkers) {
thrust::copy(thrust::device, local_data.data(),
local_data.data() + local_data.size(),
all_workers.begin() + local_data.size() * rank);
reducer->AllReduceSum(all_workers.data().get(), all_workers.data().get(),
all_workers.size());
reducer->Synchronize();
collective::DeviceCommunicator* communicator = collective::Communicator::GetDevice(0);
communicator->AllReduceSum(all_workers.data().get(), all_workers.size());
communicator->Synchronize();
auto base_line = dh::ToSpan(all_workers).subspan(0, size_as_float);
std::vector<float> h_base_line(base_line.size());