/frameworks/opt/gamesdk/third_party/protobuf-3.0.0/src/google/protobuf/stubs/ |
D | mathlimits.h | 67 typedef T Type; typedef 76 static const Type kPosMin; 78 static const Type kPosMax; 80 static const Type kMin; 82 static const Type kMax; 85 static const Type kNegMin; 88 static const Type kNegMax; 94 static const Type kEpsilon; 99 static const Type kStdError; 105 static const Type kNaN; [all …]
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D | mathlimits.cc | 47 #define DEF_COMMON_LIMITS(Type) argument 48 #define DEF_UNSIGNED_INT_LIMITS(Type) argument 49 #define DEF_SIGNED_INT_LIMITS(Type) argument 50 #define DEF_PRECISION_LIMITS(Type) argument 54 #define DEF_COMMON_LIMITS(Type) \ 55 const bool MathLimits<Type>::kIsSigned; \ 56 const bool MathLimits<Type>::kIsInteger; \ 57 const int MathLimits<Type>::kMin10Exp; \ 58 const int MathLimits<Type>::kMax10Exp; 60 #define DEF_UNSIGNED_INT_LIMITS(Type) \ [all …]
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/frameworks/av/media/libmedia/include/media/ |
D | Metadata.h | 49 typedef int32_t Type; typedef 50 typedef SortedVector<Type> Filter; 52 static const Type kAny = 0; 55 static const Type kPauseAvailable = 1; // Boolean 56 static const Type kSeekBackwardAvailable = 2; // Boolean 57 static const Type kSeekForwardAvailable = 3; // Boolean 58 static const Type kSeekAvailable = 4; // Boolean 61 static const Type kTitle = 5; // String 62 static const Type kComment = 6; // String 63 static const Type kCopyright = 7; // String [all …]
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/frameworks/av/include/media/ |
D | Metadata.h | 49 typedef int32_t Type; typedef 50 typedef SortedVector<Type> Filter; 52 static const Type kAny = 0; 55 static const Type kPauseAvailable = 1; // Boolean 56 static const Type kSeekBackwardAvailable = 2; // Boolean 57 static const Type kSeekForwardAvailable = 3; // Boolean 58 static const Type kSeekAvailable = 4; // Boolean 61 static const Type kTitle = 5; // String 62 static const Type kComment = 6; // String 63 static const Type kCopyright = 7; // String [all …]
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/frameworks/opt/gamesdk/third_party/protobuf-3.0.0/src/google/protobuf/ |
D | map_type_handler.h | 59 template <bool IsEnum, typename Type> 62 static inline void Initialize(Type& type, int default_enum_value); 65 template <typename Type> 66 class MapValueInitializer<true, Type> { 68 static inline void Initialize(Type& value, int default_enum_value) { 69 value = static_cast<Type>(default_enum_value); 73 template <typename Type> 74 class MapValueInitializer<false, Type> { 76 static inline void Initialize(Type& value, int default_enum_value) {} 79 template <typename Type, bool is_arena_constructable> [all …]
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/frameworks/ml/nn/runtime/test/fuzzing/operation_signatures/ |
D | Broadcast.cpp | 23 static void broadcastOpConstructor(Type dataType, uint32_t rank, RandomOperation* op) { in broadcastOpConstructor() 44 if (dataType == Type::TENSOR_QUANT8_ASYMM && op->opType == ANEURALNETWORKS_MUL) { in broadcastOpConstructor() 63 .inputs = {INPUT_DEFAULT, INPUT_DEFAULT, PARAMETER_CHOICE(Type::INT32, 0, 1, 2, 3)}, \ 68 DEFINE_BROADCAST_WITH_ACT_SIGNATURE(ADD, V1_0, Type::TENSOR_FLOAT32, Type::TENSOR_QUANT8_ASYMM); 69 DEFINE_BROADCAST_WITH_ACT_SIGNATURE(MUL, V1_0, Type::TENSOR_FLOAT32, Type::TENSOR_QUANT8_ASYMM); 70 DEFINE_BROADCAST_WITH_ACT_SIGNATURE(SUB, V1_1, Type::TENSOR_FLOAT32); 71 DEFINE_BROADCAST_WITH_ACT_SIGNATURE(DIV, V1_1, Type::TENSOR_FLOAT32); 72 DEFINE_BROADCAST_WITH_ACT_SIGNATURE(ADD, V1_2, Type::TENSOR_FLOAT16); 73 DEFINE_BROADCAST_WITH_ACT_SIGNATURE(MUL, V1_2, Type::TENSOR_FLOAT16); 74 DEFINE_BROADCAST_WITH_ACT_SIGNATURE(SUB, V1_2, Type::TENSOR_FLOAT16, Type::TENSOR_QUANT8_ASYMM); [all …]
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D | Elementwise.cpp | 32 DEFINE_ELEMENTWISE_SIGNATURE(FLOOR, V1_0, Type::TENSOR_FLOAT32); 33 DEFINE_ELEMENTWISE_SIGNATURE(RELU, V1_0, Type::TENSOR_FLOAT32, Type::TENSOR_QUANT8_ASYMM); 34 DEFINE_ELEMENTWISE_SIGNATURE(RELU1, V1_0, Type::TENSOR_FLOAT32, Type::TENSOR_QUANT8_ASYMM); 35 DEFINE_ELEMENTWISE_SIGNATURE(RELU6, V1_0, Type::TENSOR_FLOAT32, Type::TENSOR_QUANT8_ASYMM); 36 DEFINE_ELEMENTWISE_SIGNATURE(TANH, V1_0, Type::TENSOR_FLOAT32); 37 DEFINE_ELEMENTWISE_SIGNATURE(FLOOR, V1_2, Type::TENSOR_FLOAT16); 38 DEFINE_ELEMENTWISE_SIGNATURE(LOGISTIC, V1_2, Type::TENSOR_FLOAT16); 39 DEFINE_ELEMENTWISE_SIGNATURE(RELU, V1_2, Type::TENSOR_FLOAT16); 40 DEFINE_ELEMENTWISE_SIGNATURE(RELU1, V1_2, Type::TENSOR_FLOAT16); 41 DEFINE_ELEMENTWISE_SIGNATURE(RELU6, V1_2, Type::TENSOR_FLOAT16); [all …]
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D | Convolutions.cpp | 25 static void conv2DExplicitConstructor(Type, uint32_t rank, HalVersion ver, RandomOperation* op) { in conv2DExplicitConstructor() argument 79 static void conv2DImplicitConstructor(Type, uint32_t rank, HalVersion ver, RandomOperation* op) { in conv2DImplicitConstructor() argument 139 PARAMETER_RANGE(Type::INT32, 1, 3), \ 140 PARAMETER_RANGE(Type::INT32, 1, 3), \ 141 PARAMETER_RANGE(Type::INT32, 1, 3), \ 142 PARAMETER_RANGE(Type::INT32, 1, 3), \ 143 PARAMETER_RANGE(Type::INT32, 1, 3), \ 144 PARAMETER_RANGE(Type::INT32, 1, 3), \ 145 PARAMETER_CHOICE(Type::INT32, 0, 1, 2, 3), \ 159 PARAMETER_CHOICE(Type::INT32, 1, 2), \ [all …]
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D | Poolings.cpp | 24 static void poolingExplicitOpConstructor(Type, uint32_t rank, RandomOperation* op) { in poolingExplicitOpConstructor() argument 66 static void poolingImplicitOpConstructor(Type, uint32_t rank, RandomOperation* op) { in poolingImplicitOpConstructor() argument 110 PARAMETER_RANGE(Type::INT32, 1, 3), \ 111 PARAMETER_RANGE(Type::INT32, 1, 3), \ 112 PARAMETER_RANGE(Type::INT32, 1, 3), \ 113 PARAMETER_RANGE(Type::INT32, 1, 3), \ 114 PARAMETER_RANGE(Type::INT32, 1, 3), \ 115 PARAMETER_RANGE(Type::INT32, 1, 3), \ 118 PARAMETER_CHOICE(Type::INT32, 0, 1, 2, 3), \ 130 PARAMETER_CHOICE(Type::INT32, 1, 2), \ [all …]
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D | Reshape.cpp | 23 static void spaceToDepthConstructor(Type, uint32_t rank, RandomOperation* op) { in spaceToDepthConstructor() argument 49 .supportedDataTypes = {Type::TENSOR_FLOAT32, Type::TENSOR_QUANT8_ASYMM}, in DEFINE_OPERATION_SIGNATURE() 52 .inputs = {INPUT_DEFAULT, PARAMETER_RANGE(Type::INT32, 1, 5)}, in DEFINE_OPERATION_SIGNATURE() 58 .supportedDataTypes = {Type::TENSOR_FLOAT16}, in DEFINE_OPERATION_SIGNATURE() 61 .inputs = {INPUT_DEFAULT, PARAMETER_RANGE(Type::INT32, 1, 5)}, in DEFINE_OPERATION_SIGNATURE() 67 .supportedDataTypes = {Type::TENSOR_FLOAT32, Type::TENSOR_QUANT8_ASYMM, in DEFINE_OPERATION_SIGNATURE() 68 Type::TENSOR_FLOAT16}, in DEFINE_OPERATION_SIGNATURE() 71 .inputs = {INPUT_DEFAULT, PARAMETER_RANGE(Type::INT32, 1, 5), in DEFINE_OPERATION_SIGNATURE() 72 PARAMETER_CHOICE(Type::BOOL, true, false)}, in DEFINE_OPERATION_SIGNATURE() 76 static void depthToSpaceConstructor(Type, uint32_t rank, RandomOperation* op) { in depthToSpaceConstructor() argument [all …]
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D | Normalization.cpp | 23 static void softmaxConstructor(Type dataType, uint32_t rank, RandomOperation* op) { in softmaxConstructor() 33 .supportedDataTypes = {Type::TENSOR_FLOAT32, Type::TENSOR_QUANT8_ASYMM}, in DEFINE_OPERATION_SIGNATURE() 42 .supportedDataTypes = {Type::TENSOR_FLOAT32, Type::TENSOR_QUANT8_ASYMM}, in DEFINE_OPERATION_SIGNATURE() 51 .supportedDataTypes = {Type::TENSOR_FLOAT16}, in DEFINE_OPERATION_SIGNATURE() 60 .supportedDataTypes = {Type::TENSOR_FLOAT32, Type::TENSOR_QUANT8_ASYMM, in DEFINE_OPERATION_SIGNATURE() 61 Type::TENSOR_FLOAT16}, in DEFINE_OPERATION_SIGNATURE() 64 .inputs = {INPUT_DEFAULT, PARAMETER_FLOAT_RANGE(0.1, 10.0), PARAMETER_NONE(Type::INT32)}, in DEFINE_OPERATION_SIGNATURE() 68 static void l2normConstructor(Type dataType, uint32_t rank, RandomOperation* op) { in l2normConstructor() 80 .supportedDataTypes = {Type::TENSOR_FLOAT32}, in DEFINE_OPERATION_SIGNATURE() 88 .supportedDataTypes = {Type::TENSOR_FLOAT32}, in DEFINE_OPERATION_SIGNATURE() [all …]
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D | Reduce.cpp | 23 static void reduceOpConstructor(Type, uint32_t rank, RandomOperation* op) { in reduceOpConstructor() argument 41 if (op->inputs[2]->dataType == Type::BOOL) { in reduceOpConstructor() 69 .inputs = {INPUT_DEFAULT, PARAMETER_NONE(Type::TENSOR_INT32), \ 70 PARAMETER_CHOICE(Type::INT32, -100, 100)}, \ 74 DEFINE_MEAN_SIGNATURE(V1_1, Type::TENSOR_FLOAT32, Type::TENSOR_QUANT8_ASYMM); 75 DEFINE_MEAN_SIGNATURE(V1_2, Type::TENSOR_FLOAT16); 83 .inputs = {INPUT_DEFAULT, PARAMETER_NONE(Type::TENSOR_INT32), \ 84 PARAMETER_CHOICE(Type::BOOL, true, false)}, \ 88 DEFINE_REDUCE_SIGNATURE(REDUCE_ALL, V1_2, Type::TENSOR_BOOL8); 89 DEFINE_REDUCE_SIGNATURE(REDUCE_ANY, V1_2, Type::TENSOR_BOOL8); [all …]
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D | ConcatSplit.cpp | 50 .supportedDataTypes = {Type::TENSOR_FLOAT32, Type::TENSOR_QUANT8_ASYMM}, in DEFINE_OPERATION_SIGNATURE() 53 .inputs = {INPUT_DEFAULT, INPUT_DEFAULT, PARAMETER_NONE(Type::INT32)}, in DEFINE_OPERATION_SIGNATURE() 55 .constructor = [](Type, uint32_t rank, RandomOperation* op) { in DEFINE_OPERATION_SIGNATURE() argument 61 .supportedDataTypes = {Type::TENSOR_FLOAT32, Type::TENSOR_QUANT8_ASYMM}, in DEFINE_OPERATION_SIGNATURE() 64 .inputs = {INPUT_DEFAULT, INPUT_DEFAULT, INPUT_DEFAULT, PARAMETER_NONE(Type::INT32)}, in DEFINE_OPERATION_SIGNATURE() 66 .constructor = [](Type, uint32_t rank, RandomOperation* op) { in DEFINE_OPERATION_SIGNATURE() argument 72 .supportedDataTypes = {Type::TENSOR_FLOAT16, Type::TENSOR_QUANT8_ASYMM}, in DEFINE_OPERATION_SIGNATURE() 75 .inputs = {INPUT_DEFAULT, INPUT_DEFAULT, PARAMETER_NONE(Type::INT32)}, in DEFINE_OPERATION_SIGNATURE() 77 .constructor = [](Type, uint32_t rank, RandomOperation* op) { in DEFINE_OPERATION_SIGNATURE() argument 83 .supportedDataTypes = {Type::TENSOR_FLOAT16, Type::TENSOR_QUANT8_ASYMM}, in DEFINE_OPERATION_SIGNATURE() [all …]
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/frameworks/ml/nn/runtime/test/generated/models/ |
D | heatmap_max_keypoint.model.cpp | 4 OperandType type0(Type::BOOL, {}); in CreateModel_nhwc() 5 OperandType type1(Type::TENSOR_FLOAT32, {6, 4, 4, 1}); in CreateModel_nhwc() 6 OperandType type2(Type::TENSOR_FLOAT32, {6, 4}); in CreateModel_nhwc() 7 OperandType type3(Type::TENSOR_FLOAT32, {6, 1}); in CreateModel_nhwc() 8 OperandType type4(Type::TENSOR_FLOAT32, {6, 1, 2}); in CreateModel_nhwc() 32 OperandType type0(Type::BOOL, {}); in CreateModel_nhwc_relaxed() 33 OperandType type1(Type::TENSOR_FLOAT32, {6, 4, 4, 1}); in CreateModel_nhwc_relaxed() 34 OperandType type2(Type::TENSOR_FLOAT32, {6, 4}); in CreateModel_nhwc_relaxed() 35 OperandType type3(Type::TENSOR_FLOAT32, {6, 1}); in CreateModel_nhwc_relaxed() 36 OperandType type4(Type::TENSOR_FLOAT32, {6, 1, 2}); in CreateModel_nhwc_relaxed() [all …]
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D | axis_aligned_bbox_transform.model.cpp | 4 OperandType type0(Type::TENSOR_FLOAT32, {5, 4}); in CreateModel() 5 OperandType type1(Type::TENSOR_FLOAT32, {5, 8}); in CreateModel() 6 OperandType type2(Type::TENSOR_INT32, {5}); in CreateModel() 7 OperandType type3(Type::TENSOR_FLOAT32, {4, 2}); in CreateModel() 29 OperandType type0(Type::TENSOR_FLOAT32, {5, 4}); in CreateModel_relaxed() 30 OperandType type1(Type::TENSOR_FLOAT32, {5, 8}); in CreateModel_relaxed() 31 OperandType type2(Type::TENSOR_INT32, {5}); in CreateModel_relaxed() 32 OperandType type3(Type::TENSOR_FLOAT32, {4, 2}); in CreateModel_relaxed() 56 OperandType type2(Type::TENSOR_INT32, {5}); in CreateModel_float16() 57 OperandType type5(Type::TENSOR_FLOAT16, {5, 8}); in CreateModel_float16() [all …]
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D | unidirectional_sequence_rnn.model.cpp | 4 OperandType type0(Type::TENSOR_FLOAT32, {2, 16, 8}); in CreateModel() 5 OperandType type1(Type::TENSOR_FLOAT32, {16, 8}); in CreateModel() 6 OperandType type2(Type::TENSOR_FLOAT32, {16, 16}); in CreateModel() 7 OperandType type3(Type::TENSOR_FLOAT32, {16}); in CreateModel() 8 OperandType type4(Type::TENSOR_FLOAT32, {2, 16}); in CreateModel() 9 OperandType type5(Type::TENSOR_FLOAT32, {2, 16, 16}); in CreateModel() 10 OperandType type6(Type::INT32, {}); in CreateModel() 39 OperandType type0(Type::TENSOR_FLOAT32, {2, 16, 8}); in CreateModel_relaxed() 40 OperandType type1(Type::TENSOR_FLOAT32, {16, 8}); in CreateModel_relaxed() 41 OperandType type2(Type::TENSOR_FLOAT32, {16, 16}); in CreateModel_relaxed() [all …]
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D | generate_proposals.model.cpp | 4 OperandType type0(Type::BOOL, {}); in CreateModel_nhwc() 5 OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 2}); in CreateModel_nhwc() 6 OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 2, 8}); in CreateModel_nhwc() 7 OperandType type3(Type::TENSOR_FLOAT32, {2, 4}); in CreateModel_nhwc() 8 OperandType type4(Type::TENSOR_FLOAT32, {1, 2}); in CreateModel_nhwc() 9 OperandType type5(Type::TENSOR_FLOAT32, {4}); in CreateModel_nhwc() 10 OperandType type6(Type::TENSOR_FLOAT32, {4, 4}); in CreateModel_nhwc() 11 OperandType type7(Type::TENSOR_INT32, {4}); in CreateModel_nhwc() 12 OperandType type8(Type::FLOAT32, {}); in CreateModel_nhwc() 13 OperandType type9(Type::INT32, {}); in CreateModel_nhwc() [all …]
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D | space_to_batch_v1_2.model.cpp | 4 OperandType type0(Type::BOOL, {}); in CreateModel_nhwc() 5 OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 2}); in CreateModel_nhwc() 6 OperandType type2(Type::TENSOR_INT32, {2, 2}); in CreateModel_nhwc() 7 OperandType type3(Type::TENSOR_FLOAT32, {4, 1, 1, 2}); in CreateModel_nhwc() 8 OperandType type4(Type::TENSOR_INT32, {2}); in CreateModel_nhwc() 36 OperandType type0(Type::BOOL, {}); in CreateModel_nhwc_relaxed() 37 OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 2}); in CreateModel_nhwc_relaxed() 38 OperandType type2(Type::TENSOR_INT32, {2, 2}); in CreateModel_nhwc_relaxed() 39 OperandType type3(Type::TENSOR_FLOAT32, {4, 1, 1, 2}); in CreateModel_nhwc_relaxed() 40 OperandType type4(Type::TENSOR_INT32, {2}); in CreateModel_nhwc_relaxed() [all …]
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D | depth_to_space_v1_2.model.cpp | 4 OperandType type0(Type::BOOL, {}); in CreateModel_nhwc() 5 OperandType type1(Type::TENSOR_FLOAT32, {1, 1, 1, 8}); in CreateModel_nhwc() 6 OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 2, 2}); in CreateModel_nhwc() 7 OperandType type3(Type::INT32, {}); in CreateModel_nhwc() 32 OperandType type0(Type::BOOL, {}); in CreateModel_nhwc_relaxed() 33 OperandType type1(Type::TENSOR_FLOAT32, {1, 1, 1, 8}); in CreateModel_nhwc_relaxed() 34 OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 2, 2}); in CreateModel_nhwc_relaxed() 35 OperandType type3(Type::INT32, {}); in CreateModel_nhwc_relaxed() 62 OperandType type0(Type::BOOL, {}); in CreateModel_nhwc_float16() 63 OperandType type3(Type::INT32, {}); in CreateModel_nhwc_float16() [all …]
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D | space_to_depth_v1_2.model.cpp | 4 OperandType type0(Type::BOOL, {}); in CreateModel_nhwc() 5 OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 2}); in CreateModel_nhwc() 6 OperandType type2(Type::TENSOR_FLOAT32, {1, 1, 1, 8}); in CreateModel_nhwc() 7 OperandType type3(Type::INT32, {}); in CreateModel_nhwc() 32 OperandType type0(Type::BOOL, {}); in CreateModel_nhwc_relaxed() 33 OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 2}); in CreateModel_nhwc_relaxed() 34 OperandType type2(Type::TENSOR_FLOAT32, {1, 1, 1, 8}); in CreateModel_nhwc_relaxed() 35 OperandType type3(Type::INT32, {}); in CreateModel_nhwc_relaxed() 62 OperandType type0(Type::BOOL, {}); in CreateModel_nhwc_float16() 63 OperandType type3(Type::INT32, {}); in CreateModel_nhwc_float16() [all …]
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D | sub_quantized_different_scales.model.cpp | 4 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {144}, 1.0f, 0); in CreateModel() 5 OperandType type1(Type::INT32, {}); in CreateModel() 28 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {144}, 1.0f, 0); in CreateModel_dynamic_output_shape() 29 OperandType type1(Type::INT32, {}); in CreateModel_dynamic_output_shape() 30 OperandType type5(Type::TENSOR_QUANT8_ASYMM, {0}, 1.0f, 0); in CreateModel_dynamic_output_shape() 53 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {144}, 1.0f, 0); in CreateModel_2() 54 OperandType type1(Type::INT32, {}); in CreateModel_2() 55 OperandType type2(Type::TENSOR_QUANT8_ASYMM, {144}, 1.0f, 1); in CreateModel_2() 78 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {144}, 1.0f, 0); in CreateModel_dynamic_output_shape_2() 79 OperandType type1(Type::INT32, {}); in CreateModel_dynamic_output_shape_2() [all …]
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D | topk_v2.model.cpp | 4 OperandType type0(Type::TENSOR_FLOAT32, {2, 2}); in CreateModel() 5 OperandType type1(Type::INT32, {}); in CreateModel() 6 OperandType type2(Type::TENSOR_INT32, {2, 2}); in CreateModel() 29 OperandType type0(Type::TENSOR_FLOAT32, {2, 2}); in CreateModel_relaxed() 30 OperandType type1(Type::INT32, {}); in CreateModel_relaxed() 31 OperandType type2(Type::TENSOR_INT32, {2, 2}); in CreateModel_relaxed() 56 OperandType type1(Type::INT32, {}); in CreateModel_float16() 57 OperandType type11(Type::TENSOR_FLOAT16, {2, 2}); in CreateModel_float16() 58 OperandType type2(Type::TENSOR_INT32, {2, 2}); in CreateModel_float16() 81 OperandType type0(Type::TENSOR_FLOAT32, {2, 2}); in CreateModel_dynamic_output_shape() [all …]
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D | expand_dims.model.cpp | 4 OperandType type0(Type::TENSOR_FLOAT32, {2, 2}); in CreateModel() 5 OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2}); in CreateModel() 6 OperandType type4(Type::INT32, {}); in CreateModel() 28 OperandType type0(Type::TENSOR_FLOAT32, {2, 2}); in CreateModel_relaxed() 29 OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2}); in CreateModel_relaxed() 30 OperandType type4(Type::INT32, {}); in CreateModel_relaxed() 54 OperandType type4(Type::INT32, {}); in CreateModel_quant8() 55 OperandType type5(Type::TENSOR_QUANT8_ASYMM, {2, 2}, 0.5f, 127); in CreateModel_quant8() 56 OperandType type6(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2}, 0.5f, 127); in CreateModel_quant8() 78 OperandType type4(Type::INT32, {}); in CreateModel_int32() [all …]
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/frameworks/minikin/include/minikin/ |
D | Macros.h | 25 #define MINIKIN_PREVENT_COPY_AND_ASSIGN(Type) \ argument 26 Type(const Type&) = delete; \ 27 Type& operator=(const Type&) = delete 29 #define MINIKIN_PREVENT_COPY_ASSIGN_AND_MOVE(Type) \ argument 30 Type(const Type&) = delete; \ 31 Type& operator=(const Type&) = delete; \ 32 Type(Type&&) = delete; \ 33 Type& operator=(Type&&) = delete
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/frameworks/native/vulkan/api/templates/ |
D | vulkan_common.tmpl | 10 {{define "Type.Class" }}{{if GetAnnotation $.Type "internal"}}struct {{end}}{{Macro "StructNam… 11 {{define "Type.Pseudonym" }}{{$.Type.Name}}{{end}} 12 {{define "Type.Enum" }}{{$.Type.Name}}{{end}} 13 {{define "Type.StaticArray"}}{{Node "Type" $.Type.ValueType}}{{end}} 14 {{define "Type.Pointer" }}{{if $.Type.Const}}{{Node "ConstType" $.Type.To}}{{else}}{{Node "Type"… 15 {{define "Type.Slice" }}{{Log "%T %+v" $.Node $.Node}}{{Node "Type" $.Type.To}}*{{end}} 16 {{define "Type#bool" }}bool{{end}} 17 {{define "Type#int" }}int{{end}} 18 {{define "Type#uint" }}unsigned int{{end}} 19 {{define "Type#s8" }}int8_t{{end}} [all …]
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