1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
|
/**
* Copyright 2022-2023, XGBoost contributors
*/
#include <gtest/gtest.h>
#include <xgboost/collective/result.h> // for Result
#include "../../../../src/collective/allreduce.h"
#include "../../../../src/common/cuda_rt_utils.h" // for AllVisibleGPUs
#include "../../../../src/common/device_helpers.cuh" // for device_vector
#include "../../../../src/common/type.h" // for EraseType
#include "../../collective/test_worker.h" // for SocketTest
#include "../../helpers.h" // for MakeCUDACtx
#include "federated_coll.cuh"
#include "test_worker.h" // for TestFederated
namespace xgboost::collective {
namespace {
class FederatedCollTestGPU : public SocketTest {};
struct Worker {
std::shared_ptr<FederatedColl> impl;
std::shared_ptr<Comm> nccl_comm;
std::shared_ptr<CUDAFederatedColl> coll;
Worker(std::shared_ptr<FederatedComm> comm, std::int32_t rank) {
auto ctx = MakeCUDACtx(rank);
impl = std::make_shared<FederatedColl>();
nccl_comm.reset(comm->MakeCUDAVar(&ctx, impl));
coll = std::make_shared<CUDAFederatedColl>(impl);
}
};
void TestAllreduce(std::shared_ptr<FederatedComm> comm, std::int32_t rank, std::int32_t n_workers) {
Worker w{comm, rank};
dh::device_vector<std::int32_t> buffer{std::vector<std::int32_t>{1, 2, 3, 4, 5}};
dh::device_vector<std::int32_t> expected(buffer.size());
thrust::transform(buffer.cbegin(), buffer.cend(), expected.begin(),
[=] XGBOOST_DEVICE(std::int32_t i) { return i * n_workers; });
auto rc = w.coll->Allreduce(*w.nccl_comm, common::EraseType(dh::ToSpan(buffer)),
ArrayInterfaceHandler::kI4, Op::kSum);
SafeColl(rc);
for (auto i = 0; i < 5; i++) {
ASSERT_EQ(buffer[i], expected[i]);
}
}
void TestBroadcast(std::shared_ptr<FederatedComm> comm, std::int32_t rank) {
Worker w{comm, rank};
auto rc = Success();
std::vector<std::int32_t> expect{0, 1, 2, 3};
if (comm->Rank() == 0) {
dh::device_vector<std::int32_t> buffer{expect};
rc = w.coll->Broadcast(*w.nccl_comm, common::EraseType(dh::ToSpan(buffer)), 0);
std::vector<std::int32_t> expect{0, 1, 2, 3};
ASSERT_EQ(buffer, expect);
} else {
dh::device_vector<std::int32_t> buffer(std::vector<std::int32_t>{4, 5, 6, 7});
rc = w.coll->Broadcast(*w.nccl_comm, common::EraseType(dh::ToSpan(buffer)), 0);
ASSERT_EQ(buffer, expect);
}
SafeColl(rc);
}
void TestAllgather(std::shared_ptr<FederatedComm> comm, std::int32_t rank, std::int32_t n_workers) {
Worker w{comm, rank};
dh::device_vector<std::int32_t> buffer(n_workers, 0);
buffer[comm->Rank()] = comm->Rank();
auto rc = w.coll->Allgather(*w.nccl_comm, common::EraseType(dh::ToSpan(buffer)));
SafeColl(rc);
for (auto i = 0; i < n_workers; i++) {
ASSERT_EQ(buffer[i], i);
}
}
void TestAllgatherV(std::shared_ptr<FederatedComm> comm, std::int32_t rank) {
Worker w{comm, rank};
std::vector<dh::device_vector<std::int32_t>> inputs{std::vector<std::int32_t>{1, 2, 3},
std::vector<std::int32_t>{4, 5}};
std::vector<std::int64_t> recv_segments(inputs.size() + 1, 0);
dh::device_vector<std::int32_t> r;
std::vector<std::int64_t> sizes{static_cast<std::int64_t>(inputs[0].size()),
static_cast<std::int64_t>(inputs[1].size())};
r.resize(sizes[0] + sizes[1]);
auto rc = w.coll->AllgatherV(*w.nccl_comm, common::EraseType(dh::ToSpan(inputs[comm->Rank()])),
common::Span{sizes.data(), sizes.size()}, recv_segments,
common::EraseType(dh::ToSpan(r)), AllgatherVAlgo::kRing);
SafeColl(rc);
ASSERT_EQ(r[0], 1);
for (std::size_t i = 1; i < r.size(); ++i) {
ASSERT_EQ(r[i], r[i - 1] + 1);
}
}
} // namespace
TEST_F(FederatedCollTestGPU, Allreduce) {
std::int32_t n_workers = curt::AllVisibleGPUs();
TestFederated(n_workers, [=](std::shared_ptr<FederatedComm> comm, std::int32_t rank) {
TestAllreduce(comm, rank, n_workers);
});
}
TEST(FederatedCollGPUGlobal, Allreduce) {
std::int32_t n_workers = curt::AllVisibleGPUs();
TestFederatedGlobal(n_workers, [&] {
auto r = collective::GetRank();
auto world = collective::GetWorldSize();
CHECK_EQ(n_workers, world);
dh::device_vector<std::uint32_t> values(3, r);
auto ctx = MakeCUDACtx(r);
auto rc = collective::Allreduce(
&ctx, linalg::MakeVec(values.data().get(), values.size(), DeviceOrd::CUDA(r)),
Op::kBitwiseOR);
SafeColl(rc);
std::vector<std::uint32_t> expected(values.size(), 0);
for (std::int32_t rank = 0; rank < world; ++rank) {
for (std::size_t i = 0; i < expected.size(); ++i) {
expected[i] |= rank;
}
}
for (std::size_t i = 0; i < expected.size(); ++i) {
CHECK_EQ(expected[i], values[i]);
}
});
}
TEST_F(FederatedCollTestGPU, Broadcast) {
std::int32_t n_workers = curt::AllVisibleGPUs();
TestFederated(n_workers, [=](std::shared_ptr<FederatedComm> comm, std::int32_t rank) {
TestBroadcast(comm, rank);
});
}
TEST_F(FederatedCollTestGPU, Allgather) {
std::int32_t n_workers = curt::AllVisibleGPUs();
TestFederated(n_workers, [=](std::shared_ptr<FederatedComm> comm, std::int32_t rank) {
TestAllgather(comm, rank, n_workers);
});
}
TEST_F(FederatedCollTestGPU, AllgatherV) {
std::int32_t n_workers = 2;
if (curt::AllVisibleGPUs() < n_workers) {
GTEST_SKIP_("At least 2 GPUs are required for the test.");
}
TestFederated(n_workers, [=](std::shared_ptr<FederatedComm> comm, std::int32_t rank) {
TestAllgatherV(comm, rank);
});
}
} // namespace xgboost::collective
|
