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/frameworks/opt/gamesdk/third_party/protobuf-3.0.0/src/google/protobuf/stubs/
Dmathlimits.h67 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;
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Dmathlimits.cc47 #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) \
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/frameworks/av/media/libmedia/include/media/
DMetadata.h49 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
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/frameworks/av/include/media/
DMetadata.h49 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
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/frameworks/opt/gamesdk/third_party/protobuf-3.0.0/src/google/protobuf/
Dmap_type_handler.h59 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>
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/frameworks/ml/nn/runtime/test/fuzzing/operation_signatures/
DBroadcast.cpp23 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);
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DElementwise.cpp32 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);
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DConvolutions.cpp25 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), \
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DPoolings.cpp24 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), \
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DReshape.cpp23 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
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DNormalization.cpp23 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()
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DReduce.cpp23 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);
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DConcatSplit.cpp50 .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()
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/frameworks/ml/nn/runtime/test/generated/models/
Dheatmap_max_keypoint.model.cpp4 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()
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Daxis_aligned_bbox_transform.model.cpp4 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()
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Dunidirectional_sequence_rnn.model.cpp4 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()
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Dgenerate_proposals.model.cpp4 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()
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Dspace_to_batch_v1_2.model.cpp4 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()
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Ddepth_to_space_v1_2.model.cpp4 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()
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Dspace_to_depth_v1_2.model.cpp4 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()
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Dsub_quantized_different_scales.model.cpp4 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()
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Dtopk_v2.model.cpp4 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()
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Dexpand_dims.model.cpp4 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()
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/frameworks/minikin/include/minikin/
DMacros.h25 #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
/frameworks/native/vulkan/api/templates/
Dvulkan_common.tmpl10 {{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}}
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