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
|
/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include <memory>
#include "tensorflow/compiler/xla/client/global_data.h"
#include "tensorflow/compiler/xla/client/local_client.h"
#include "tensorflow/compiler/xla/client/xla_client/xla_builder.h"
#include "tensorflow/compiler/xla/client/xla_computation.h"
#include "tensorflow/compiler/xla/literal.h"
#include "tensorflow/compiler/xla/protobuf_util.h"
#include "tensorflow/compiler/xla/service/hlo.pb.h"
#include "tensorflow/compiler/xla/shape_util.h"
#include "tensorflow/compiler/xla/statusor.h"
#include "tensorflow/compiler/xla/tests/client_library_test_base.h"
#include "tensorflow/compiler/xla/tests/literal_test_util.h"
#include "tensorflow/compiler/xla/tests/test_macros.h"
#include "tensorflow/compiler/xla/xla_data.pb.h"
#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/platform/types.h"
namespace xla {
namespace {
class ReplayTest : public ClientLibraryTestBase {};
TEST_F(ReplayTest, TwoPlusTwoReplay) {
// Make 2+2 computation.
XlaBuilder builder(TestName());
auto two = ConstantR0<int32>(&builder, 2);
Add(two, two);
XlaComputation computation = builder.Build().ConsumeValueOrDie();
// Serialize it out.
std::unique_ptr<HloSnapshot> module =
computation.Snapshot().ConsumeValueOrDie();
// Replay it.
XlaComputation replayed = client_->LoadSnapshot(*module).ConsumeValueOrDie();
// Check signature is the same.
std::unique_ptr<ProgramShape> original_shape =
client_->GetComputationShape(computation).ConsumeValueOrDie();
std::unique_ptr<ProgramShape> replayed_shape =
client_->GetComputationShape(replayed).ConsumeValueOrDie();
ASSERT_TRUE(protobuf_util::ProtobufEquals(*original_shape, *replayed_shape));
// Run it.
std::unique_ptr<Literal> literal =
client_
->ExecuteAndTransfer(replayed, /*arguments=*/{}, &execution_options_)
.ConsumeValueOrDie();
// Expect 4.
LiteralTestUtil::ExpectR0Equal<int32>(4, *literal);
}
XLA_TEST_F(ReplayTest, XPlusYReplayWithParameters) {
// Make computation.
XlaBuilder builder(TestName());
auto x = Parameter(&builder, 0, ShapeUtil::MakeShape(S32, {}), "x");
auto y = Parameter(&builder, 1, ShapeUtil::MakeShape(S32, {}), "y");
Add(x, y);
XlaComputation computation = builder.Build().ConsumeValueOrDie();
// Serialize it out.
std::unique_ptr<HloSnapshot> module =
computation.Snapshot().ConsumeValueOrDie();
// Replay it.
XlaComputation replayed = client_->LoadSnapshot(*module).ConsumeValueOrDie();
// Check signature is the same.
std::unique_ptr<ProgramShape> original_shape =
client_->GetComputationShape(computation).ConsumeValueOrDie();
std::unique_ptr<ProgramShape> replayed_shape =
client_->GetComputationShape(replayed).ConsumeValueOrDie();
ASSERT_TRUE(protobuf_util::ProtobufEquals(*original_shape, *replayed_shape));
// Run it.
std::unique_ptr<GlobalData> x_data =
client_->TransferToServer(*LiteralUtil::CreateR0<int32>(2))
.ConsumeValueOrDie();
std::unique_ptr<GlobalData> y_data =
client_->TransferToServer(*LiteralUtil::CreateR0<int32>(3))
.ConsumeValueOrDie();
std::unique_ptr<Literal> literal =
client_
->ExecuteAndTransfer(replayed,
/*arguments=*/{x_data.get(), y_data.get()},
&execution_options_)
.ConsumeValueOrDie();
// Expect 5.
LiteralTestUtil::ExpectR0Equal<int32>(5, *literal);
}
TEST_F(ReplayTest, MapPlusTwoOverR1) {
// As above, but with map(+2) over some constant array.
XlaBuilder plus_two_builder("plus two");
auto input =
Parameter(&plus_two_builder, 0, ShapeUtil::MakeShape(S32, {}), "input");
Add(input, ConstantR0<int32>(&plus_two_builder, 2));
XlaComputation plus_two = plus_two_builder.Build().ConsumeValueOrDie();
XlaBuilder mapper_builder(TestName());
auto original = ConstantR1<int32>(&mapper_builder, {1, 2, 3});
Map(&mapper_builder, {original}, plus_two, {0});
XlaComputation computation = mapper_builder.Build().ConsumeValueOrDie();
// Serialize it out.
std::unique_ptr<HloSnapshot> module =
computation.Snapshot().ConsumeValueOrDie();
// Replay it.
XlaComputation replayed = client_->LoadSnapshot(*module).ConsumeValueOrDie();
// Check signature is the same.
std::unique_ptr<ProgramShape> original_shape =
client_->GetComputationShape(computation).ConsumeValueOrDie();
std::unique_ptr<ProgramShape> replayed_shape =
client_->GetComputationShape(replayed).ConsumeValueOrDie();
ASSERT_TRUE(protobuf_util::ProtobufEquals(*original_shape, *replayed_shape));
// Run it.
std::unique_ptr<Literal> literal =
client_
->ExecuteAndTransfer(replayed, /*arguments=*/{}, &execution_options_)
.ConsumeValueOrDie();
// Expect result.
LiteralTestUtil::ExpectR1Equal<int32>({3, 4, 5}, *literal);
}
} // namespace
} // namespace xla
|
