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 #include "tensorflow/compiler/xla/service/hlo_query.h" 17 18 #include "tensorflow/compiler/xla/literal.h" 19 #include "tensorflow/compiler/xla/service/hlo_opcode.h" 20 #include "tensorflow/compiler/xla/shape_util.h" 21 22 namespace xla { 23 namespace hlo_query { 24 25 bool IsConstantR0F32(HloInstruction* instruction, float* out) { 26 if (instruction->opcode() == HloOpcode::kConstant && 27 ShapeUtil::IsScalarWithElementType(instruction->shape(), F32)) { 28 *out = instruction->literal().Get<float>({}); 29 return true; 30 } 31 32 return false; 33 } 34 35 bool AllOperandsAreParametersOrConstants(const HloInstruction& instruction) { 36 for (const auto& operand : instruction.operands()) { 37 if (operand->opcode() != HloOpcode::kParameter && 38 operand->opcode() != HloOpcode::kConstant) { 39 return false; 40 } 41 } 42 return true; 43 } 44 45 bool AllOperandsAreParameters(const HloInstruction& instruction) { 46 for (const auto& operand : instruction.operands()) { 47 if (operand->opcode() != HloOpcode::kParameter) { 48 return false; 49 } 50 } 51 return true; 52 } 53 54 bool AllOperandsAreConstants(const HloInstruction& instruction) { 55 for (const auto& operand : instruction.operands()) { 56 if (operand->opcode() != HloOpcode::kConstant) { 57 return false; 58 } 59 } 60 return true; 61 } 62 63 HloInstruction* GetMatchingOperand( 64 const std::function<bool(const HloInstruction*)>& matcher, 65 HloInstruction* instruction) { 66 for (HloInstruction* op : instruction->operands()) { 67 if (matcher(op)) { 68 return op; 69 } 70 } 71 return nullptr; 72 } 73 74 bool MatchBinaryInstructionOperand( 75 const std::function<bool(const HloInstruction*)>& matcher, 76 HloInstruction* instruction, HloInstruction** matching_operand, 77 HloInstruction** other_operand) { 78 CHECK_EQ(instruction->operand_count(), 2); 79 if (matcher(instruction->operand(0))) { 80 *matching_operand = instruction->mutable_operand(0); 81 *other_operand = instruction->mutable_operand(1); 82 return true; 83 } 84 if (matcher(instruction->operand(1))) { 85 *matching_operand = instruction->mutable_operand(1); 86 *other_operand = instruction->mutable_operand(0); 87 return true; 88 } 89 return false; 90 } 91 92 bool MatchBinaryInstructionOperandOpcode(HloOpcode opcode, 93 HloInstruction* instruction, 94 HloInstruction** matching_operand, 95 HloInstruction** other_operand) { 96 return MatchBinaryInstructionOperand( 97 [opcode](const HloInstruction* instruction) { 98 return instruction->opcode() == opcode; 99 }, 100 instruction, matching_operand, other_operand); 101 } 102 103 bool IsScalarConstant(const HloInstruction* instruction) { 104 return instruction->IsConstant() && ShapeUtil::IsScalar(instruction->shape()); 105 } 106 107 bool ContainsInstrWithOpcode(const HloComputation* comp, 108 const absl::flat_hash_set<HloOpcode>& opcodes) { 109 for (const auto* instr : comp->instructions()) { 110 if (opcodes.count(instr->opcode())) { 111 return true; 112 } 113 for (const HloComputation* subcomp : instr->called_computations()) { 114 if (ContainsInstrWithOpcode(subcomp, opcodes)) { 115 return true; 116 } 117 } 118 } 119 return false; 120 } 121 122 } // namespace hlo_query 123 } // namespace xla 124