1 /* Copyright 2018 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_TUPLE_UTIL_H_ 17 #define TENSORFLOW_COMPILER_XLA_SERVICE_TUPLE_UTIL_H_ 18 19 #include "tensorflow/compiler/xla/service/hlo_instruction.h" 20 21 namespace xla { 22 class TupleUtil { 23 public: 24 // Generates HLO instructions to get a prefix tuple from `input_tuple` (which 25 // must be of tuple shape) of length `elements`. Returns the root of the 26 // graph of instructions generated. 27 // 28 // The instructions are generated into the computation containing 29 // `input_tuple`. 30 static HloInstruction* ExtractPrefix(HloInstruction* input_tuple, 31 int64 elements); 32 33 // Generates HLO instructions to create a tuple that consists of the values in 34 // `trailing_values` appended to `input_tuple` (which must be of tuple shape). 35 // Returns the root of the graph of instructions generated. 36 // 37 // The instructions are generated into the computation containing 38 // `input_tuple`. 39 static HloInstruction* AppendSuffix( 40 HloInstruction* input_tuple, 41 tensorflow::gtl::ArraySlice<HloInstruction*> trailing_values); 42 }; 43 } // namespace xla 44 45 #endif // TENSORFLOW_COMPILER_XLA_SERVICE_TUPLE_UTIL_H_ 46
