| /packages/modules/NeuralNetworks/common/types/operations/src/ |
| D | Cast.cpp | 60 auto getNumberOfElements = [](const std::vector<uint32_t>& dims) { in validate()
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| /packages/modules/NeuralNetworks/common/cpu_operations/ |
| D | Fill.cpp | 48 const int32_t* dims = context->getInputBuffer<int32_t>(kDimsTensor); in prepare() local
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| D | LSHProjectionTest.cpp | 62 auto multiAll = [](const std::vector<uint32_t>& dims) -> uint32_t { in LSHProjectionOpModel()
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| D | EmbeddingLookupTest.cpp | 78 auto multiAll = [](const std::vector<uint32_t>& dims) -> uint32_t { in EmbeddingLookupOpModel()
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| D | HashtableLookupTest.cpp | 92 auto multiAll = [](const std::vector<uint32_t>& dims) -> uint32_t { in HashtableLookupOpModel()
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| D | SVDFTest.cpp | 218 auto multiAll = [](const std::vector<uint32_t>& dims) -> uint32_t { in SVDFOpModel()
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| D | LayerNormLSTMTest.cpp | 152 auto multiAll = [](const std::vector<uint32_t>& dims) -> uint32_t { in LayerNormLSTMOpModel()
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| D | LSTMTest.cpp | 141 auto multiAll = [](const std::vector<uint32_t>& dims) -> uint32_t { in LSTMOpModel()
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| /packages/modules/NeuralNetworks/runtime/ |
| D | FlatbufferModelBuilderUtils.h | 164 inline void replaceZeroDimensions(std::vector<int32_t>* dims) { in replaceZeroDimensions()
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| D | ExecutionBuilder.cpp | 536 const auto& dims = mOutputs[index].dimensions(); in getOutputOperandDimensions() local
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| D | NeuralNetworksV2.cpp | 971 const std::vector<uint32_t> dims(dimensions, dimensions + rank); in ANeuralNetworksMemoryDesc_setDimensions() local
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| D | NeuralNetworks.cpp | 1016 const std::vector<uint32_t> dims(dimensions, dimensions + rank); in ANeuralNetworksMemoryDesc_setDimensions() local
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| /packages/modules/StatsD/statsd/src/ |
| D | stats_log_util.cpp | 106 void writeDimensionToProtoHelper(const std::vector<FieldValue>& dims, size_t* index, int depth, in writeDimensionToProtoHelper()
174 void writeDimensionLeafToProtoHelper(const std::vector<FieldValue>& dims, in writeDimensionLeafToProtoHelper()
339 void writeFieldValueTreeToStreamHelper(int tagId, const std::vector<FieldValue>& dims, in writeFieldValueTreeToStreamHelper()
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| D | HashableDimensionKey.cpp | 42 const vector<FieldValue>& dims, in populateStatsDimensionsValueParcelChildren()
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| /packages/modules/NeuralNetworks/runtime/test/android_fuzzing/ |
| D | FuzzTest.cpp | 42 const auto& dims = op.dimensions; in getOperandType() local
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| /packages/modules/NeuralNetworks/runtime/test/ |
| D | TestOperandExtraParams.cpp | 46 static uint32_t dims[4] = {1, 2, 3, CHANNEL_DIM_SIZE}; in createOperand() local
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| D | GeneratedTestUtils.cpp | 45 auto dims = op.dimensions; in getOperandType() local
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| /packages/modules/NeuralNetworks/runtime/operation_converters/ |
| D | Conv2DOperationConverter.cpp | 80 const Dimensions& dims = inputOperand.dimensions; in decomposeExplicitPadding() local
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| /packages/modules/NeuralNetworks/common/include/ |
| D | CpuOperationUtils.h | 37 tflite::Dims<4> dims; in convertShapeToDims() local
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| /packages/apps/LegacyCamera/jni/ |
| D | feature_mos_jni.cpp | 587 int* dims = new int[2]; in Java_com_android_camera_panorama_Mosaic_getFinalMosaic() local
642 unsigned char* dims = new unsigned char[8]; in Java_com_android_camera_panorama_Mosaic_getFinalMosaicNV21() local
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| /packages/modules/StatsD/tests/src/android/cts/statsd/validation/ |
| D | ValidationTests.java | 300 List<DimensionsValue> dims = data.getDimensionLeafValuesInWhatList(); in getStatsdWakelockData() local
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| /packages/modules/NeuralNetworks/common/ |
| D | LegacyUtils.cpp | 1392 auto getNumberOfElements = [](const std::vector<uint32_t>& dims) { in validateOperation()
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| /packages/modules/NeuralNetworks/runtime/test/fuzzing/ |
| D | RandomVariable.cpp | 1035 void RandomVariableNetwork::addDimensionProd(const std::vector<RandomVariable>& dims) { in addDimensionProd()
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| /packages/modules/NeuralNetworks/tools/test_generator/ |
| D | test_generator.py | 1165 def AddDims(self, dims, *args, includeDefault=True, defaultName=None): argument
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| /packages/modules/NeuralNetworks/driver/sample_hidl/ |
| D | SampleDriverFloatXNNPACK.cpp | 239 std::vector<size_t> dims(operands[tensors[t]].dimensions.size()); in Create() local
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