1 | /* Copyright 2015 The TensorFlow Authors. All Rights Reserved. |
2 | |
3 | Licensed under the Apache License, Version 2.0 (the "License"); |
4 | you may not use this file except in compliance with the License. |
5 | You may obtain a copy of the License at |
6 | |
7 | http://www.apache.org/licenses/LICENSE-2.0 |
8 | |
9 | Unless required by applicable law or agreed to in writing, software |
10 | distributed under the License is distributed on an "AS IS" BASIS, |
11 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
12 | See the License for the specific language governing permissions and |
13 | limitations under the License. |
14 | ==============================================================================*/ |
15 | |
16 | #include "tensorflow/core/public/session.h" |
17 | |
18 | #include <string> |
19 | |
20 | #include "tensorflow/core/common_runtime/session_factory.h" |
21 | #include "tensorflow/core/lib/core/errors.h" |
22 | #include "tensorflow/core/lib/monitoring/gauge.h" |
23 | #include "tensorflow/core/platform/logging.h" |
24 | |
25 | namespace tensorflow { |
26 | namespace { |
27 | |
28 | auto* session_created = monitoring::Gauge<bool, 0>::New( |
29 | "/tensorflow/core/session_created" , "True if a session was created." ); |
30 | |
31 | } // namespace |
32 | |
33 | Session::Session() {} |
34 | |
35 | Session::~Session() {} |
36 | |
37 | Status Session::Run(const RunOptions& run_options, |
38 | const std::vector<std::pair<string, Tensor> >& inputs, |
39 | const std::vector<string>& output_tensor_names, |
40 | const std::vector<string>& target_tensor_names, |
41 | std::vector<Tensor>* outputs, RunMetadata* run_metadata) { |
42 | return errors::Unimplemented( |
43 | "Run with options is not supported for this session." ); |
44 | } |
45 | |
46 | Status Session::PRunSetup(const std::vector<string>& input_names, |
47 | const std::vector<string>& output_names, |
48 | const std::vector<string>& target_nodes, |
49 | string* handle) { |
50 | return errors::Unimplemented( |
51 | "Partial run is not supported for this session." ); |
52 | } |
53 | |
54 | Status Session::PRun(const string& handle, |
55 | const std::vector<std::pair<string, Tensor> >& inputs, |
56 | const std::vector<string>& output_names, |
57 | std::vector<Tensor>* outputs) { |
58 | return errors::Unimplemented( |
59 | "Partial run is not supported for this session." ); |
60 | } |
61 | |
62 | Session* NewSession(const SessionOptions& options) { |
63 | // Starts exporting metrics through a platform-specific monitoring API (if |
64 | // provided). For builds using "tensorflow/tsl/platform/default", this is |
65 | // currently a no-op. |
66 | session_created->GetCell()->Set(true); |
67 | Session* out_session; |
68 | Status s = NewSession(options, &out_session); |
69 | if (!s.ok()) { |
70 | LOG(ERROR) << "Failed to create session: " << s; |
71 | return nullptr; |
72 | } |
73 | return out_session; |
74 | } |
75 | |
76 | Status NewSession(const SessionOptions& options, Session** out_session) { |
77 | SessionFactory* factory; |
78 | Status s = SessionFactory::GetFactory(options, &factory); |
79 | if (!s.ok()) { |
80 | *out_session = nullptr; |
81 | LOG(ERROR) << "Failed to get session factory: " << s; |
82 | return s; |
83 | } |
84 | // Starts exporting metrics through a platform-specific monitoring API (if |
85 | // provided). For builds using "tensorflow/tsl/platform/default", this is |
86 | // currently a no-op. |
87 | session_created->GetCell()->Set(true); |
88 | s = factory->NewSession(options, out_session); |
89 | if (!s.ok()) { |
90 | *out_session = nullptr; |
91 | LOG(ERROR) << "Failed to create session: " << s; |
92 | } |
93 | return s; |
94 | } |
95 | |
96 | Status Reset(const SessionOptions& options, |
97 | const std::vector<string>& containers) { |
98 | SessionFactory* factory; |
99 | TF_RETURN_IF_ERROR(SessionFactory::GetFactory(options, &factory)); |
100 | return factory->Reset(options, containers); |
101 | } |
102 | |
103 | } // namespace tensorflow |
104 | |