| /packages/modules/NeuralNetworks/runtime/test/ |
| D | TestOperandExtraParams.cpp | 45 ANeuralNetworksOperandType createOperand(int32_t dataType) { in createOperand() argument
47 switch (dataType) { in createOperand()
55 return {.type = dataType, in createOperand()
66 return {.type = dataType, in createOperand()
72 return {.type = dataType, in createOperand()
78 return {.type = dataType, in createOperand()
84 return {.type = dataType, in createOperand()
90 return {.type = dataType, in createOperand()
96 return {.type = dataType, in createOperand()
116 void testAddingWithSymmPerChannelQuantParams(int32_t dataType, in testAddingWithSymmPerChannelQuantParams() argument
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| D | TestGpuNnapi.cpp | 106 template <Type dataType>
153 template <Type dataType>
156 const uint32_t elementSize = sizeof(typename TestTypeHelper<dataType>::ElementType); in chooseDispatchSize()
282 template <Type dataType>
379 const auto dispatchSize = chooseDispatchSize<dataType>(mPhysicalDeviceProperties.limits); in initialize()
633 TestTypeHelper<dataType>::kClearData, // CLEAR_DATA in initialize()
799 template <Type dataType>
823 using ElementType = typename TestTypeHelper<dataType>::ElementType;
830 const float scale = TestTypeHelper<dataType>::kIsQuantized ? 1.0f : 0.0f; in initialize()
831 const OperandType tensorType(dataType, {kOperandSizeY, kOperandSizeX}, scale, in initialize()
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| D | TestValidateOperations.cpp | 4489 ANeuralNetworksOperandType dataType = in testIf() local
4492 OperationTestBase test(ANEURALNETWORKS_IF, {boolType, modelType, modelType, dataType}, in testIf()
4493 {dataType}); in testIf()
4544 ANeuralNetworksModel* makeWhileCondModel(const ANeuralNetworksOperandType* dataType, in makeWhileCondModel() argument
4548 EXPECT_EQ(ANeuralNetworksModel_addOperand(model, dataType), ANEURALNETWORKS_NO_ERROR); in makeWhileCondModel()
4549 EXPECT_EQ(ANeuralNetworksModel_addOperand(model, dataType), ANEURALNETWORKS_NO_ERROR); in makeWhileCondModel()
4595 ANeuralNetworksOperandType dataType = in testWhile() local
4597 OperationTestBase test(ANEURALNETWORKS_WHILE, {modelType, modelType, dataType, dataType}, in testWhile()
4598 {dataType}); in testWhile()
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| /packages/apps/Dialer/java/com/android/dialer/callcomposer/camera/exif/ |
| D | ExifTag.java | 86 private final short dataType; field in ExifTag
122 dataType = type; in ExifTag()
180 return dataType; in getDataType()
226 if (dataType != TYPE_UNSIGNED_SHORT in setValue()
227 && dataType != TYPE_LONG in setValue()
228 && dataType != TYPE_UNSIGNED_LONG) { in setValue()
231 if (dataType == TYPE_UNSIGNED_SHORT && checkOverflowForUnsignedShort(value)) { in setValue()
233 } else if (dataType == TYPE_UNSIGNED_LONG && checkOverflowForUnsignedLong(value)) { in setValue()
257 if (checkBadComponentCount(value.length) || dataType != TYPE_UNSIGNED_LONG) { in setValue()
283 if (dataType != TYPE_ASCII && dataType != TYPE_UNDEFINED) { in setValue()
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| /packages/modules/NeuralNetworks/runtime/test/fuzzing/operation_signatures/ |
| D | OperationSignatureUtils.h | 132 switch (op->dataType) {
240 NN_FUZZER_CHECK(to->dataType == from->dataType);
251 if (isQuantizedType(op->inputs[0]->dataType)) {
267 inline void sameShapeOpConstructor(TestOperandType dataType, uint32_t rank, RandomOperation* op) {
268 sameDimensionOpConstructor(dataType, rank, op);
272 inline void defaultOperandConstructor(TestOperandType dataType, uint32_t, RandomOperand* op) {
273 op->dataType = dataType;
274 if (dataType == TestOperandType::TENSOR_QUANT8_ASYMM) {
277 } else if (dataType == TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED) {
280 } else if (dataType == TestOperandType::TENSOR_QUANT8_SYMM) {
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| D | BoundingBox.cpp | 28 static void roiTensorConstructor(TestOperandType dataType, uint32_t, RandomOperand* op) { in roiTensorConstructor() argument
29 op->dataType = dataType; in roiTensorConstructor()
30 if (isQuantizedType(dataType)) { in roiTensorConstructor()
31 op->dataType = TestOperandType::TENSOR_QUANT16_ASYMM; in roiTensorConstructor()
101 switch (op->inputs[1]->dataType) { in roiFinalizer()
215 switch (op->inputs[1]->dataType) { in heatmapMaxKeypointFinalizer()
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| D | Normalization.cpp | 23 static void softmaxConstructor(TestOperandType dataType, uint32_t rank, RandomOperation* op) { in softmaxConstructor() argument
24 sameDimensionOpConstructor(dataType, rank, op); in softmaxConstructor()
91 static void l2normConstructor(TestOperandType dataType, uint32_t rank, RandomOperation* op) { in l2normConstructor() argument
92 sameDimensionOpConstructor(dataType, rank, op); in l2normConstructor()
158 static void localResponseNormConstructor(TestOperandType dataType, uint32_t rank, in localResponseNormConstructor() argument
160 sameDimensionOpConstructor(dataType, rank, op); in localResponseNormConstructor()
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| D | Elementwise.cpp | 23 static void elementwiseOpConstructor(TestOperandType dataType, uint32_t rank, RandomOperation* op) { in elementwiseOpConstructor() argument
24 sameShapeOpConstructor(dataType, rank, op); in elementwiseOpConstructor()
134 static void castingOpConstructor(TestOperandType dataType, uint32_t rank, RandomOperation* op) { in castingOpConstructor() argument
135 sameDimensionOpConstructor(dataType, rank, op); in castingOpConstructor()
139 if (op->inputs[0]->dataType == TestOperandType::TENSOR_FLOAT16) { in castingOpConstructor()
141 } else if (op->outputs[0]->dataType == TestOperandType::TENSOR_FLOAT16) { in castingOpConstructor()
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| D | Reshape.cpp | 263 op->dataType = TestOperandType::TENSOR_INT32; in __anon5cabe3aa0102()
322 .constructor = [](TestOperandType dataType, uint32_t, RandomOperand* op) { in __anon5cabe3aa0202()
323 switch (dataType) { in __anon5cabe3aa0202()
325 op->dataType = TestOperandType::FLOAT32; in __anon5cabe3aa0202()
329 op->dataType = TestOperandType::FLOAT16; in __anon5cabe3aa0202()
333 op->dataType = TestOperandType::INT32; in __anon5cabe3aa0202()
337 op->dataType = TestOperandType::INT32; in __anon5cabe3aa0202()
424 static void channelShuffleConstructor(TestOperandType dataType, uint32_t rank, in channelShuffleConstructor() argument
426 sameShapeOpConstructor(dataType, rank, op); in channelShuffleConstructor()
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| D | Broadcast.cpp | 25 static void broadcastOpConstructor(TestOperandType dataType, uint32_t rank, RandomOperation* op) { in broadcastOpConstructor() argument
56 if (isQuantizedType(dataType) && op->opType == TestOperationType::MUL) { in broadcastOpConstructor()
70 dataType == TestOperandType::TENSOR_INT32) { in broadcastOpConstructor()
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| D | Reduce.cpp | 41 if (op->inputs[2]->dataType == TestOperandType::BOOL) { in reduceOpConstructor()
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| D | Resize.cpp | 33 switch (op->inputs[1]->dataType) { in resizeOpConstructor()
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| D | Selection.cpp | 98 op->dataType = TestOperandType::TENSOR_QUANT8_ASYMM; in __anon3b1505080102()
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| /packages/modules/NeuralNetworks/runtime/test/fuzzing/ |
| D | RandomGraphGenerator.cpp | 44 RandomOperand::RandomOperand(const OperandSignature& operand, TestOperandType dataType, in RandomOperand() argument
48 if (operand.constructor) operand.constructor(dataType, rank, this); in RandomOperand()
64 if (dataType != other.dataType || dimensions.size() != other.dimensions.size() || in createEdgeIfValid()
78 return kSizeOfDataType[static_cast<int32_t>(dataType)] * getNumberOfElements(); in getBufferSize()
87 TestOperandType dataType = getRandomChoice(operation.supportedDataTypes); in RandomOperation() local
92 inputs.emplace_back(new RandomOperand(op, dataType, rank)); in RandomOperation()
95 outputs.emplace_back(new RandomOperand(op, dataType, rank)); in RandomOperation()
97 if (operation.constructor) operation.constructor(dataType, rank, this); in RandomOperation()
158 if (kScalarDataType[static_cast<int32_t>(operand->dataType)]) return true; in asConstant()
258 .type = static_cast<TestOperandType>(operand->dataType), in createTestModel()
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| D | OperationManager.cpp | 43 for (auto dataType : supportedDataTypes) { in matchFilter() local
44 if (hasValue(filter.dataTypes, dataType)) combinedDataTypes.push_back(dataType); in matchFilter()
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| D | RandomGraphGenerator.h | 52 test_helper::TestOperandType dataType; member
76 RandomOperand(const OperandSignature& op, test_helper::TestOperandType dataType, uint32_t rank);
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| D | TestRandomGraph.cpp | 780 #define TEST_RANDOM_GRAPH_WITH_DATA_TYPE_AND_RANK(dataType, rank) \ argument
781 TEST_P(RandomGraphTest, SmallGraph_##dataType##_Rank##rank) { \
782 OperationFilter filter = {.dataTypes = {TestOperandType::dataType}, .ranks = {rank}}; \
787 TEST_P(RandomGraphTest, LargeGraph_##dataType##_Rank##rank) { \
788 OperationFilter filter = {.dataTypes = {TestOperandType::dataType}, .ranks = {rank}}; \
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| /packages/modules/NeuralNetworks/common/operations/ |
| D | Cast.cpp | 46 #define ANDROID_NN_COPY_CAST(operandType, dataType) \ in copyToTensor() argument
48 NNTRACE_COMP("cast::copyCast::" #dataType); \ in copyToTensor()
49 copyCast(inputData, reinterpret_cast<dataType*>(outputData), numElements); \ in copyToTensor()
77 #define ANDROID_NN_COPY_TO_TENSOR(operandType, dataType) \ in eval() argument
79 NNTRACE_TRANS("cast::copyToTensor::" #dataType); \ in eval()
80 copyToTensor(reinterpret_cast<const dataType*>(inputData), numElements, outputData, \ in eval()
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| D | Tile.cpp | 93 #define ANDROID_NN_IMPL_TILE(operandType, dataType) \ in eval() argument
95 NNTRACE_COMP_SWITCH("tileImpl::" #dataType); \ in eval()
96 tileImpl(reinterpret_cast<const dataType*>(inputData), inputShape, multiples, \ in eval()
97 reinterpret_cast<dataType*>(outputData), outputShape); \ in eval()
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| D | ArgMinMax.cpp | 56 #define NNAPI_IMPL_ARG_MIN_MAX(operandType, dataType) \ in argMinMaxGeneric() argument
58 NNTRACE_COMP_SWITCH("argMinMaxImpl::" #dataType); \ in argMinMaxGeneric()
59 argMinMaxImpl(reinterpret_cast<const dataType*>(inputData), inputShape, axis, isArgMin, \ in argMinMaxGeneric()
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| /packages/apps/DocumentsUI/src/com/android/documentsui/sorting/ |
| D | SortDimension.java | 77 private SortDimension(int id, @StringRes int labelId, @DataType int dataType, in SortDimension() argument
81 mDataType = dataType; in SortDimension()
190 @DataType int dataType = in.readInt();
195 new SortDimension(id, labelId, dataType, sortCapability, defaultSortDirection);
227 Builder withDataType(@DataType int dataType) { in withDataType() argument
228 mDataType = dataType; in withDataType()
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| /packages/modules/Permission/PermissionController/src/com/android/permissioncontroller/role/model/ |
| D | IntentFilterData.java | 64 @Nullable String dataScheme, @Nullable String dataType) { in IntentFilterData() argument
68 mDataType = dataType; in IntentFilterData()
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| D | RoleParser.java | 579 String dataType = null; in parseIntentFilterData() local
619 dataType = getAttributeValue(parser, ATTRIBUTE_MIME_TYPE); in parseIntentFilterData()
620 if (dataType != null) { in parseIntentFilterData()
621 validateIntentFilterDataType(dataType); in parseIntentFilterData()
634 return new IntentFilterData(action, categories, dataScheme, dataType); in parseIntentFilterData()
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| /packages/providers/TvProvider/src/com/android/providers/tv/ |
| D | TvProvider.java | 1265 CharSequence dataType = extras.getCharSequence(TvContract.EXTRA_DATA_TYPE); in call() local
1266 if (TextUtils.isEmpty(columnName) || TextUtils.isEmpty(dataType)) { in call()
1272 dataType.toString(), defaultValue.toString()); in call()
1304 + columnName + " " + dataType + defaultValue + ";"); in call()
1945 private static String generateDefaultClause(String dataType, String defaultValue) in generateDefaultClause() argument
1948 switch (dataType.toLowerCase()) { in generateDefaultClause()
1957 throw new IllegalArgumentException("Illegal data type \"" + dataType in generateDefaultClause()
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