/external/catch2/projects/SelfTest/UsageTests/ |
D | Generators.tests.cpp | 45 using tuple_type = std::tuple<char const*, int>; typedef 47 tuple_type{"first", 5}, 48 tuple_type{"second", 6}, 49 tuple_type{"third", 5}, 50 tuple_type{"etc...", 6}
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/external/tensorflow/tensorflow/compiler/mlir/xla/ |
D | type_to_shape.cc | 175 } else if (auto tuple_type = type.dyn_cast<mlir::TupleType>()) { in TypeToShape() local 177 shapes.reserve(tuple_type.size()); in TypeToShape() 178 for (mlir::Type sub_type : tuple_type.getTypes()) { in TypeToShape()
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D | hlo_function_importer.cc | 175 auto tuple_type = type.dyn_cast<mlir::TupleType>(); in IsNestedTupleInData() local 176 if (!tuple_type) return false; in IsNestedTupleInData() 178 assert(tuple_type.getType(1).isa<mlir::mhlo::TokenType>() && in IsNestedTupleInData() 180 auto data_type = tuple_type.getType(0); in IsNestedTupleInData() 194 auto tuple_type = type.dyn_cast<mlir::TupleType>(); in FlattenTupleType() local 195 if (!tuple_type) { in FlattenTupleType() 200 for (auto child_type : tuple_type.getTypes()) { in FlattenTupleType() 208 auto tuple_type = value.getType().dyn_cast<mlir::TupleType>(); in FlattenTupleValue() local 209 if (!tuple_type) { in FlattenTupleValue() 215 for (auto child_type : tuple_type.getTypes()) { in FlattenTupleValue() [all …]
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D | mlir_hlo_to_hlo.cc | 240 auto tuple_type = type.dyn_cast<mlir::TupleType>(); in GetCustomCallResultShapeWithLayout() local 241 if (!tuple_type) return ConvertTypesToShapesWithLayout({type}, layouts)[0]; in GetCustomCallResultShapeWithLayout() 244 ConvertTypesToShapesWithLayout(tuple_type.getTypes(), layouts); in GetCustomCallResultShapeWithLayout()
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/external/tensorflow/tensorflow/compiler/xla/service/gpu/ |
D | ir_emitter_nested.cc | 150 llvm::Type* tuple_type = llvm_ir::ShapeToIrType(return_shape, module_); in CodegenNestedComputation() local 151 llvm::Type* tuple_type_ptr = tuple_type->getPointerTo(); in CodegenNestedComputation() 159 /*alignment=*/1, tuple_ptr, tuple_type, &b_); in CodegenNestedComputation()
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/external/tensorflow/tensorflow/compiler/mlir/xla/transforms/ |
D | legalize_tf_communication.cc | 436 auto tuple_type = value.getType().dyn_cast<TupleType>(); in GetValueWithToken() local 438 if (!tuple_type) return {create_tuple({value, token})}; in GetValueWithToken() 452 for (auto idx : llvm::seq<int32_t>(0, tuple_type.getTypes().size())) in GetValueWithToken() 477 if (auto tuple_type = type.dyn_cast<TupleType>()) { in GetTypeWithToken() local 478 auto result_types = llvm::to_vector(tuple_type.getTypes()); in GetTypeWithToken() 514 auto tuple_type = value.getType().dyn_cast<TupleType>(); in ReplaceWithTupleResult() local 515 if (!tuple_type) { in ReplaceWithTupleResult() 532 sub_tuple = CreateSubTuple(builder, replacement, tuple_type.size()); in ReplaceWithTupleResult()
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D | adjust_layout.cc | 80 auto tuple_type = types[0].dyn_cast<TupleType>(); in GetTPUInfeedLayout() local 81 const auto &types = tuple_type.getTypes(); in GetTPUInfeedLayout()
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D | legalize_tf_control_flow.cc | 208 void ReplaceBlockArgs(Block* block, Type tuple_type, OpBuilder* builder) { in ReplaceBlockArgs() argument 209 auto tuple_arg = block->addArgument(tuple_type, block->getParent()->getLoc()); in ReplaceBlockArgs()
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/external/catch2/projects/SelfTest/IntrospectiveTests/ |
D | CmdLine.tests.cpp | 420 using tuple_type = std::tuple<char const*, Catch::WaitForKeypress::When>; typedef 422 tuple_type{"never", Catch::WaitForKeypress::Never}, 423 tuple_type{"start", Catch::WaitForKeypress::BeforeStart}, 424 tuple_type{"exit", Catch::WaitForKeypress::BeforeExit}, 425 tuple_type{"both", Catch::WaitForKeypress::BeforeStartAndExit},
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/external/libchrome/components/json_schema/ |
D | json_schema_validator.cc | 719 const base::ListValue* tuple_type = nullptr; in ValidateTuple() local 720 schema->GetList(schema::kItems, &tuple_type); in ValidateTuple() 721 size_t tuple_size = tuple_type ? tuple_type->GetSize() : 0; in ValidateTuple() 722 if (tuple_type) { in ValidateTuple() 727 CHECK(tuple_type->GetDictionary(i, &item_schema)); in ValidateTuple()
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/external/tensorflow/tensorflow/compiler/mlir/xla/tests/ |
D | legalize-tf-with-tf2xla.mlir | 47 // CHECK-LABEL: tuple_type 48 func.func @tuple_type(%arg0: tuple<tensor<f32>, tensor<i32>>) -> tensor<f32> {
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/external/tensorflow/tensorflow/compiler/xla/service/cpu/ |
D | ir_emitter.cc | 143 llvm::Type* tuple_type = llvm_ir::ShapeToIrType(return_shape, module_); in EmitThreadLocalFunctionEpilogue() local 144 llvm::Type* tuple_type_lvalue = tuple_type->getPointerTo(); in EmitThreadLocalFunctionEpilogue() 153 tuple_type, &b_); in EmitThreadLocalFunctionEpilogue()
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/external/python/cpython3/Parser/ |
D | parser.c | 222 #define tuple_type 1146 macro
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