1 /* Copyright 2017 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 #ifndef TENSORFLOW_COMPILER_XLA_SERVICE_NAME_UNIQUER_H_ 17 #define TENSORFLOW_COMPILER_XLA_SERVICE_NAME_UNIQUER_H_ 18 19 #include <string> 20 21 #include "absl/container/flat_hash_map.h" 22 #include "absl/container/flat_hash_set.h" 23 #include "absl/strings/string_view.h" 24 #include "tensorflow/compiler/xla/types.h" 25 #include "tensorflow/core/platform/macros.h" 26 27 namespace xla { 28 29 // Simple stateful class that helps generate "unique" names. To use it, simply 30 // call GetUniqueName as many times as needed. The names returned by 31 // GetUniqueName are guaranteed to be distinct for this instance of the class. 32 // Note that the names will be sanitized to match regexp 33 // "[a-zA-Z_][a-zA-Z0-9_.-]*". 34 class NameUniquer { 35 public: 36 // The separator must contain allowed characters only: "[a-zA-Z0-9_.-]". 37 explicit NameUniquer(const string& separator = "__"); 38 39 // Get a sanitized unique name in a string, with an optional prefix for 40 // convenience. 41 string GetUniqueName(absl::string_view prefix = ""); 42 43 // Sanitizes and returns the name. Unallowed characters will be replaced with 44 // '_'. The result will match the regexp "[a-zA-Z_][a-zA-Z0-9_.-]*". 45 static string GetSanitizedName(const string& name); 46 47 private: 48 // Used to track and generate new identifiers for the same instruction name 49 // root. 50 class SequentialIdGenerator { 51 public: 52 SequentialIdGenerator() = default; 53 54 // Tries to register id as used identifier. If id is not already used, the 55 // id itself will be returned. Otherwise a new one will be generated, and 56 // returned. RegisterId(int64 id)57 int64 RegisterId(int64 id) { 58 if (used_.insert(id).second) { 59 return id; 60 } 61 while (!used_.insert(next_).second) { 62 ++next_; 63 } 64 return next_++; 65 } 66 67 private: 68 // The next identifier to be tried. 69 int64 next_ = 0; 70 71 // Set of all the identifiers which has been used. 72 absl::flat_hash_set<int64> used_; 73 }; 74 75 // The string to use to separate the prefix of the name from the uniquing 76 // integer value. 77 string separator_; 78 79 // Map from name prefix to the generator data structure which tracks used 80 // identifiers and generates new ones. 81 absl::flat_hash_map<string, SequentialIdGenerator> generated_names_; 82 83 TF_DISALLOW_COPY_AND_ASSIGN(NameUniquer); 84 }; 85 86 } // namespace xla 87 88 #endif // TENSORFLOW_COMPILER_XLA_SERVICE_NAME_UNIQUER_H_ 89