1 | /* Copyright 2016 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/common_runtime/constant_folding.h" |
17 | #include "tensorflow/core/common_runtime/graph_constructor.h" |
18 | #include "tensorflow/core/graph/node_builder.h" |
19 | #include "tensorflow/core/graph/subgraph.h" |
20 | #include "tensorflow/core/platform/init_main.h" |
21 | #include "tensorflow/core/public/session.h" |
22 | #include "tensorflow/tools/graph_transforms/fold_constants_lib.h" |
23 | #include "tensorflow/tools/graph_transforms/transform_utils.h" |
24 | |
25 | namespace tensorflow { |
26 | namespace graph_transforms { |
27 | |
28 | // Renames all nodes not uses as graph inputs or outputs to short numerical |
29 | // forms. |
30 | Status ObfuscateNames(const GraphDef& input_graph_def, |
31 | const TransformFuncContext& context, |
32 | GraphDef* output_graph_def) { |
33 | std::unordered_set<string> required_nodes; |
34 | for (const string& input : context.input_names) { |
35 | required_nodes.insert(input); |
36 | } |
37 | for (const string& output : context.output_names) { |
38 | required_nodes.insert(output); |
39 | } |
40 | |
41 | const string valid_chars = |
42 | "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ" ; |
43 | const int64_t chars_size = valid_chars.size(); |
44 | |
45 | std::map<string, string> new_names; |
46 | int64_t name_index = 0; |
47 | for (const NodeDef& input_node : input_graph_def.node()) { |
48 | const string& old_name = input_node.name(); |
49 | string new_name; |
50 | if (required_nodes.count(old_name)) { |
51 | new_name = old_name; |
52 | } else { |
53 | do { |
54 | int64_t remaining = name_index; |
55 | new_name = "" ; |
56 | while (true) { |
57 | const int64_t remainder = (remaining % chars_size); |
58 | const char current_char = valid_chars[remainder]; |
59 | new_name = current_char + new_name; |
60 | remaining /= chars_size; |
61 | if (remaining <= 0) { |
62 | break; |
63 | } |
64 | } |
65 | ++name_index; |
66 | } while (required_nodes.count(new_name)); |
67 | } |
68 | new_names[old_name] = new_name; |
69 | } |
70 | |
71 | output_graph_def->Clear(); |
72 | for (const NodeDef& input_node : input_graph_def.node()) { |
73 | NodeDef* node = output_graph_def->mutable_node()->Add(); |
74 | *node = input_node; |
75 | const string& old_name = input_node.name(); |
76 | node->set_name(new_names[old_name]); |
77 | node->mutable_input()->Clear(); |
78 | for (const string& input_name : input_node.input()) { |
79 | string prefix; |
80 | string input_node_name; |
81 | string suffix; |
82 | NodeNamePartsFromInput(input_name, &prefix, &input_node_name, &suffix); |
83 | if (new_names.count(input_node_name) == 0) { |
84 | return errors::InvalidArgument("No node named " , input_node_name, |
85 | " for input to " , old_name); |
86 | } |
87 | string new_input_name = prefix + new_names[input_node_name] + suffix; |
88 | *(node->mutable_input()->Add()) = new_input_name; |
89 | } |
90 | } |
91 | |
92 | return OkStatus(); |
93 | } |
94 | |
95 | REGISTER_GRAPH_TRANSFORM("obfuscate_names" , ObfuscateNames); |
96 | |
97 | } // namespace graph_transforms |
98 | } // namespace tensorflow |
99 | |