1 | /* Copyright 2020 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_CORE_UTIL_RAGGED_TO_DENSE_UTIL_COMMON_H_ |
17 | #define TENSORFLOW_CORE_UTIL_RAGGED_TO_DENSE_UTIL_COMMON_H_ |
18 | |
19 | #include <string> |
20 | #include <unordered_map> |
21 | #include <vector> |
22 | |
23 | namespace tensorflow { |
24 | enum class RowPartitionType { |
25 | FIRST_DIM_SIZE, |
26 | VALUE_ROWIDS, |
27 | ROW_LENGTHS, |
28 | ROW_SPLITS, |
29 | ROW_LIMITS, |
30 | ROW_STARTS |
31 | }; |
32 | |
33 | inline std::string RowPartitionTypeToString( |
34 | RowPartitionType row_partition_type) { |
35 | switch (row_partition_type) { |
36 | case RowPartitionType::FIRST_DIM_SIZE: |
37 | return "FIRST_DIM_SIZE" ; |
38 | case RowPartitionType::VALUE_ROWIDS: |
39 | return "VALUE_ROWIDS" ; |
40 | case RowPartitionType::ROW_LENGTHS: |
41 | return "ROW_LENGTHS" ; |
42 | case RowPartitionType::ROW_SPLITS: |
43 | return "ROW_SPLITS" ; |
44 | case RowPartitionType::ROW_LIMITS: |
45 | return "ROW_LIMITS" ; |
46 | case RowPartitionType::ROW_STARTS: |
47 | return "ROW_STARTS" ; |
48 | default: |
49 | return "UNKNOWN ROW PARTITION TYPE" ; |
50 | } |
51 | } |
52 | |
53 | inline std::vector<RowPartitionType> GetRowPartitionTypesHelper( |
54 | const std::vector<std::string>& row_partition_type_strings) { |
55 | static const auto kStringToType = |
56 | new std::unordered_map<std::string, RowPartitionType>( |
57 | {{"FIRST_DIM_SIZE" , RowPartitionType::FIRST_DIM_SIZE}, |
58 | {"VALUE_ROWIDS" , RowPartitionType::VALUE_ROWIDS}, |
59 | {"ROW_LENGTHS" , RowPartitionType::ROW_LENGTHS}, |
60 | {"ROW_SPLITS" , RowPartitionType::ROW_SPLITS}, |
61 | {"ROW_LIMITS" , RowPartitionType::ROW_LIMITS}, |
62 | {"ROW_STARTS" , RowPartitionType::ROW_STARTS}}); |
63 | std::vector<RowPartitionType> result; |
64 | for (const auto& type_str : row_partition_type_strings) { |
65 | const auto iter = kStringToType->find(type_str); |
66 | if (iter == kStringToType->end()) { |
67 | break; |
68 | } |
69 | result.push_back(iter->second); |
70 | } |
71 | return result; |
72 | } |
73 | |
74 | inline int GetRaggedRank( |
75 | const std::vector<RowPartitionType>& row_partition_types) { |
76 | if (row_partition_types.empty()) { |
77 | return 0; |
78 | } |
79 | if (row_partition_types[0] == RowPartitionType::FIRST_DIM_SIZE) { |
80 | return row_partition_types.size() - 1; |
81 | } |
82 | return row_partition_types.size(); |
83 | } |
84 | |
85 | } // namespace tensorflow |
86 | |
87 | #endif // TENSORFLOW_CORE_UTIL_RAGGED_TO_DENSE_UTIL_COMMON_H_ |
88 | |