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
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
|
/*
* Copyright 2020 Google LLC
*
* 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 "fcp/tensorflow/tf_session.h"
#include <cstdio>
#include <fstream>
#include <iostream>
#include <string>
#include <utility>
#include "absl/strings/cord.h"
#include "fcp/base/platform.h"
#include "fcp/base/process_unique_id.h"
#include "fcp/base/result.h"
#include "fcp/tensorflow/status.h"
#include "tensorflow/core/protobuf/saver.pb.h"
namespace fcp {
#define TF_STATUS_EXPECT_OK(tf_status) \
Result(ConvertFromTensorFlowStatus(tf_status)).Then(ExpectOk())
using CheckpointOp = google::internal::federated::plan::CheckpointOp;
TfSession::TfSession(const std::filesystem::path& tmp_dir,
const absl::Cord& graph)
: tmp_dir_(StripTrailingPathSeparator(tmp_dir.c_str())),
session_(tensorflow::NewSession(tensorflow::SessionOptions{})) {
// Parse GraphDef.
tensorflow::GraphDef graph_def;
// TODO(team): Replace with ParseFromCord (check if it is available).
std::string graph_str;
absl::CopyCordToString(graph, &graph_str);
if (!graph_def.ParseFromString(graph_str)) {
session_status_ = FCP_STATUS(INVALID_ARGUMENT)
<< "Could not parse GraphDef.";
return;
}
session_status_ = ConvertFromTensorFlowStatus(session_->Create(graph_def));
}
TfSession::TfSession(const std::filesystem::path& tmp_dir,
absl::string_view graph)
: TfSession(tmp_dir, absl::Cord(graph)) {}
Result<Unit> TfSession::Ready() {
return Result(session_status_).Then(ExpectOk());
}
Result<Unit> TfSession::RunOp(absl::string_view op) {
FCP_TRY(Ready());
if (op.empty()) {
return Unit{};
}
TracingSpan<RunTfOp> span(op);
std::vector<std::string> target_node_names;
target_node_names.emplace_back(op);
FCP_TRY(TF_STATUS_EXPECT_OK(session_->Run(
/*inputs=*/{},
/*output_tensor_names=*/{}, target_node_names,
/*outputs=*/nullptr)));
return Unit{};
}
Result<Unit> TfSession::RunOp(const NamedTensorList& inputs,
absl::string_view op) {
FCP_TRY(Ready());
if (op.empty()) {
return Unit{};
}
std::vector<std::string> target_node_names;
target_node_names.emplace_back(op);
FCP_TRY(TF_STATUS_EXPECT_OK(session_->Run(inputs,
/*output_tensor_names=*/{},
target_node_names,
/*outputs=*/nullptr)));
return Unit{};
}
Result<std::unique_ptr<TfSession::NamedTensorMap>> TfSession::GetOutputs(
std::unique_ptr<std::vector<std::string>> output_names) {
FCP_TRY(Ready());
auto outputs = std::make_unique<TfSession::NamedTensorMap>();
if (output_names->empty()) {
return std::move(outputs);
}
std::vector<tensorflow::Tensor> output_list;
FCP_TRY(TF_STATUS_EXPECT_OK(session_->Run(
/*inputs=*/{}, *output_names,
/*target_tensor_names=*/{}, &output_list)));
FCP_CHECK(output_names->size() == output_list.size());
for (int i = 0; i < output_names->size(); i++) {
outputs->emplace(std::move((*output_names)[i]), std::move(output_list[i]));
}
return std::move(outputs);
}
void DeleteTmpFile(const std::string& tmp_file_name) {
if (std::remove(tmp_file_name.c_str()) > 0) {
Trace<TmpFileNotDeleted>(tmp_file_name);
}
}
Result<absl::Cord> TfSession::SaveState(const CheckpointOp& op) {
FCP_TRY(Ready());
TracingSpan<SaveToCheckpoint> span(
op.before_save_op(),
op.has_saver_def() ? op.saver_def().save_tensor_name() : "",
op.after_save_op());
FCP_TRY(RunOp(op.before_save_op()));
Result<absl::Cord> res = absl::Cord("");
if (op.has_saver_def()) {
const tensorflow::SaverDef& def = op.saver_def();
absl::string_view save_op = def.save_tensor_name();
// TODO(team): Workaround due to difference between python and c++
// TensorFlow APIs.
save_op = absl::StripSuffix(save_op, ":0");
std::string tmp_file_name = GetTmpCheckpointFileName("save_checkpoint");
res =
RunOp({{def.filename_tensor_name(), tensorflow::Tensor(tmp_file_name)}},
save_op)
.Then([&tmp_file_name](Unit u) -> Result<StatusOr<absl::Cord>> {
return Result(fcp::ReadFileToCord(tmp_file_name));
})
.Then(ExpectOk());
DeleteTmpFile(tmp_file_name);
}
FCP_TRY(RunOp(op.after_save_op()));
return res;
}
Result<Unit> TfSession::RestoreState(const CheckpointOp& op,
const absl::Cord& checkpoint) {
FCP_TRY(Ready());
TracingSpan<RestoreFromCheckpoint> span(
op.before_restore_op(),
op.has_saver_def() ? op.saver_def().restore_op_name() : "",
op.after_restore_op());
FCP_TRY(RunOp(op.before_restore_op()));
Result<Unit> res = Unit{};
if (op.has_saver_def()) {
const tensorflow::SaverDef& def = op.saver_def();
std::string tmp_file_name = GetTmpCheckpointFileName("restore_checkpoint");
res = Result(fcp::WriteCordToFile(tmp_file_name, checkpoint))
.Then(ExpectOk())
.Then([this, &def, &tmp_file_name](Unit u) -> Result<Unit> {
return RunOp({{def.filename_tensor_name(),
tensorflow::Tensor(tmp_file_name)}},
def.restore_op_name());
});
DeleteTmpFile(tmp_file_name);
}
FCP_TRY(RunOp(op.after_restore_op()));
return res;
}
Result<Unit> TfSession::RestoreState(const CheckpointOp& op,
const NamedTensorList& restore_inputs) {
FCP_TRY(Ready());
TracingSpan<RestoreFromTensors> span(op.before_restore_op(),
op.after_restore_op());
if (op.has_saver_def()) {
return TraceError<InvalidCheckpointOp>(
"saver_def",
"Cannot call RestoreState with a list of named tensors with a "
"checkpoint op containing a SaverDef.");
}
FCP_TRY(RunOp(restore_inputs, op.before_restore_op()));
return RunOp(op.after_restore_op());
}
std::string TfSession::GetTmpCheckpointFileName(absl::string_view name) {
return ConcatPath(
tmp_dir_, absl::StrCat(name, ProcessUniqueId::Next().value(), ".ckp"));
}
} // namespace fcp
|
