bc995a4865
- Define a new data type, the proto file is copied for now. - Merge client and communicator into `FederatedColl`. - Define CUDA variant. - Migrate tests for CPU, add tests for CUDA.
95 lines
3.5 KiB
C++
95 lines
3.5 KiB
C++
/**
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* Copyright 2022-2023, XGBoost contributors
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*/
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#include <gtest/gtest.h>
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#include <xgboost/span.h> // for Span
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#include <array> // for array
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#include "../../../../src/common/type.h" // for EraseType
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#include "../../collective/test_worker.h" // for SocketTest
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#include "federated_coll.h" // for FederatedColl
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#include "federated_comm.h" // for FederatedComm
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#include "test_worker.h" // for TestFederated
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namespace xgboost::collective {
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namespace {
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class FederatedCollTest : public SocketTest {};
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} // namespace
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TEST_F(FederatedCollTest, Allreduce) {
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std::int32_t n_workers = std::min(std::thread::hardware_concurrency(), 3u);
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TestFederated(n_workers, [=](std::shared_ptr<FederatedComm> comm, std::int32_t) {
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std::array<std::int32_t, 5> buffer = {1, 2, 3, 4, 5};
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std::array<std::int32_t, 5> expected;
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std::transform(buffer.cbegin(), buffer.cend(), expected.begin(),
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[=](auto i) { return i * n_workers; });
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auto coll = std::make_shared<FederatedColl>();
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auto rc = coll->Allreduce(*comm, common::EraseType(common::Span{buffer.data(), buffer.size()}),
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ArrayInterfaceHandler::kI4, Op::kSum);
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ASSERT_TRUE(rc.OK());
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for (auto i = 0; i < 5; i++) {
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ASSERT_EQ(buffer[i], expected[i]);
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}
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});
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}
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TEST_F(FederatedCollTest, Broadcast) {
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std::int32_t n_workers = std::min(std::thread::hardware_concurrency(), 3u);
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TestFederated(n_workers, [=](std::shared_ptr<FederatedComm> comm, std::int32_t) {
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FederatedColl coll{};
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auto rc = Success();
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if (comm->Rank() == 0) {
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std::string buffer{"hello"};
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rc = coll.Broadcast(*comm, common::EraseType(common::Span{buffer.data(), buffer.size()}), 0);
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ASSERT_EQ(buffer, "hello");
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} else {
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std::string buffer{" "};
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rc = coll.Broadcast(*comm, common::EraseType(common::Span{buffer.data(), buffer.size()}), 0);
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ASSERT_EQ(buffer, "hello");
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}
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ASSERT_TRUE(rc.OK());
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});
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}
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TEST_F(FederatedCollTest, Allgather) {
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std::int32_t n_workers = std::min(std::thread::hardware_concurrency(), 3u);
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TestFederated(n_workers, [=](std::shared_ptr<FederatedComm> comm, std::int32_t) {
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FederatedColl coll{};
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std::vector<std::int32_t> buffer(n_workers, 0);
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buffer[comm->Rank()] = comm->Rank();
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auto rc = coll.Allgather(*comm, common::EraseType(common::Span{buffer.data(), buffer.size()}),
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sizeof(int));
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ASSERT_TRUE(rc.OK());
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for (auto i = 0; i < n_workers; i++) {
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ASSERT_EQ(buffer[i], i);
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}
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});
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}
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TEST_F(FederatedCollTest, AllgatherV) {
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std::int32_t n_workers = 2;
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TestFederated(n_workers, [=](std::shared_ptr<FederatedComm> comm, std::int32_t) {
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FederatedColl coll{};
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std::vector<std::string_view> inputs{"Federated", " Learning!!!"};
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std::vector<std::int64_t> recv_segments(inputs.size() + 1, 0);
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std::string r;
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std::vector<std::int64_t> sizes{static_cast<std::int64_t>(inputs[0].size()),
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static_cast<std::int64_t>(inputs[1].size())};
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r.resize(sizes[0] + sizes[1]);
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auto rc = coll.AllgatherV(
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*comm,
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common::EraseType(common::Span{inputs[comm->Rank()].data(), inputs[comm->Rank()].size()}),
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common::Span{sizes.data(), sizes.size()}, recv_segments,
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common::EraseType(common::Span{r.data(), r.size()}), AllgatherVAlgo::kRing);
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EXPECT_EQ(r, "Federated Learning!!!");
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ASSERT_TRUE(rc.OK());
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});
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}
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} // namespace xgboost::collective
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