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/aosp12/packages/modules/NeuralNetworks/driver/sample/
H A DSampleDriverFloatXNNPACK.cpp75 RunTimeOperandInfo* operands) { in updateForArguments() argument
80 RunTimeOperandInfo& to = operands[operandIndex]; in updateForArguments()
111 const size_t count = subgraph.operands.size(); in initializeRunTimeInfo()
112 std::vector<RunTimeOperandInfo> operands(count); in initializeRunTimeInfo() local
115 RunTimeOperandInfo& to = operands[i]; in initializeRunTimeInfo()
149 return operands; in initializeRunTimeInfo()
227 data = operands[tensors[t]].buffer; in Create()
282 value.data = operands[t].buffer; in Invoke()
1158 if (operands[ins[1]].dimensions[0] != 2) { in VisitMeanNode()
1655 auto status = subgraph->Invoke(operands); in asyncExecuteXNNPACK()
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/aosp12/packages/modules/NeuralNetworks/common/operations/
H A DBidirectionalSequenceLSTM.cpp82 input_ = GetInput(operation, operands, kInputTensor); in BidirectionalSequenceLSTM()
93 GetInput(operation, operands, kFwRecurrentToForgetWeightsTensor); in BidirectionalSequenceLSTM()
96 GetInput(operation, operands, kFwRecurrentToOutputWeightsTensor); in BidirectionalSequenceLSTM()
107 fw_cell_bias_ = GetInput(operation, operands, kFwCellGateBiasTensor); in BidirectionalSequenceLSTM()
114 fw_cell_state_ = GetInput(operation, operands, kFwInputCellStateTensor); in BidirectionalSequenceLSTM()
139 bw_cell_bias_ = GetInput(operation, operands, kBwCellGateBiasTensor); in BidirectionalSequenceLSTM()
146 bw_cell_state_ = GetInput(operation, operands, kBwInputCellStateTensor); in BidirectionalSequenceLSTM()
148 aux_input_ = GetInput(operation, operands, kAuxInputTensor); in BidirectionalSequenceLSTM()
151 GetInput(operation, operands, kFwAuxInputToForgetWeightsTensor); in BidirectionalSequenceLSTM()
191 fw_output_ = GetOutput(operation, operands, kFwOutputTensor); in BidirectionalSequenceLSTM()
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H A DQuantizedLSTM.cpp221 input_ = GetInput(operation, operands, kInputTensor); in QuantizedLSTMCell()
233 inputGateBias_ = GetInput(operation, operands, kInputGateBiasTensor); in QuantizedLSTMCell()
234 forgetGateBias_ = GetInput(operation, operands, kForgetGateBiasTensor); in QuantizedLSTMCell()
235 cellGateBias_ = GetInput(operation, operands, kCellGateBiasTensor); in QuantizedLSTMCell()
236 outputGateBias_ = GetInput(operation, operands, kOutputGateBiasTensor); in QuantizedLSTMCell()
238 prevCellState_ = GetInput(operation, operands, kPrevCellStateTensor); in QuantizedLSTMCell()
239 prevOutput_ = GetInput(operation, operands, kPrevOutputTensor); in QuantizedLSTMCell()
241 cellStateOut_ = GetOutput(operation, operands, kCellStateOutTensor); in QuantizedLSTMCell()
242 output_ = GetOutput(operation, operands, kOutputTensor); in QuantizedLSTMCell()
247 auto input = GetInput(operation, operands, kInputTensor); in prepare()
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H A DSVDF.cpp31 SVDF::SVDF(const Operation& operation, RunTimeOperandInfo* operands) { in SVDF() argument
33 input_ = GetInput(operation, operands, kInputTensor); in SVDF()
35 weights_time_ = GetInput(operation, operands, kWeightsTimeTensor); in SVDF()
36 bias_ = GetInput(operation, operands, kBiasTensor); in SVDF()
37 state_in_ = GetInput(operation, operands, kStateInTensor); in SVDF()
39 const auto& rankOperand = *GetInput(operation, operands, kRankParam); in SVDF()
45 state_out_ = GetOutput(operation, operands, kStateOutTensor); in SVDF()
46 output_ = GetOutput(operation, operands, kOutputTensor); in SVDF()
53 const int num_inputs = NumInputsWithValues(operation, operands); in Prepare()
74 GetInput(operation, operands, SVDF::kWeightsFeatureTensor); in Prepare()
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H A DLSHProjection.cpp34 input_ = GetInput(operation, operands, kInputTensor); in LSHProjection()
35 weight_ = GetInput(operation, operands, kWeightTensor); in LSHProjection()
36 hash_ = GetInput(operation, operands, kHashTensor); in LSHProjection()
39 getScalarData<int32_t>(*GetInput(operation, operands, kTypeParam))); in LSHProjection()
41 output_ = GetOutput(operation, operands, kOutputTensor); in LSHProjection()
49 NN_RET_CHECK(!IsNullInput(GetInput(operation, operands, requiredInput))) in Prepare()
54 const RunTimeOperandInfo* hash = GetInput(operation, operands, kHashTensor); in Prepare()
59 const RunTimeOperandInfo* input = GetInput(operation, operands, kInputTensor); in Prepare()
62 const auto& typeOperand = operands[operation.inputs[kTypeParam]]; in Prepare()
68 NN_CHECK(NumInputsWithValues(operation, operands) == 3); in Prepare()
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H A DRNN.cpp30 RNN::RNN(const Operation& operation, RunTimeOperandInfo* operands) { in RNN() argument
32 input_ = GetInput(operation, operands, kInputTensor); in RNN()
33 weights_ = GetInput(operation, operands, kWeightsTensor); in RNN()
34 recurrent_weights_ = GetInput(operation, operands, kRecurrentWeightsTensor); in RNN()
35 hidden_state_in_ = GetInput(operation, operands, kHiddenStateInTensor); in RNN()
36 bias_ = GetInput(operation, operands, kBiasTensor); in RNN()
41 hidden_state_out_ = GetOutput(operation, operands, kHiddenStateOutTensor); in RNN()
42 output_ = GetOutput(operation, operands, kOutputTensor); in RNN()
49 const int num_inputs = NumInputsWithValues(operation, operands); in Prepare()
56 GetInput(operation, operands, kRecurrentWeightsTensor); in Prepare()
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H A DMultinomial.cpp56 Multinomial::Multinomial(const Operation& operation, RunTimeOperandInfo* operands) { in Multinomial() argument
58 input_ = GetInput(operation, operands, kInputTensor); in Multinomial()
59 sample_count_ = getScalarData<int>(*GetInput(operation, operands, kSampleCountParam)); in Multinomial()
60 random_seeds_ = GetInput(operation, operands, kRandomSeedsTensor); in Multinomial()
62 output_ = GetOutput(operation, operands, kOutputTensor); in Multinomial()
65 bool Multinomial::Prepare(const Operation& operation, RunTimeOperandInfo* operands, in Prepare() argument
68 NN_CHECK_EQ(NumInputsWithValues(operation, operands), 3); in Prepare()
71 const RunTimeOperandInfo* input = GetInput(operation, operands, Multinomial::kInputTensor); in Prepare()
76 getScalarData<int>(*GetInput(operation, operands, kSampleCountParam)); in Prepare()
H A DHashtableLookup.cpp36 HashtableLookup::HashtableLookup(const Operation& operation, RunTimeOperandInfo* operands) { in HashtableLookup() argument
37 lookup_ = GetInput(operation, operands, kLookupTensor); in HashtableLookup()
38 key_ = GetInput(operation, operands, kKeyTensor); in HashtableLookup()
39 value_ = GetInput(operation, operands, kValueTensor); in HashtableLookup()
41 output_ = GetOutput(operation, operands, kOutputTensor); in HashtableLookup()
42 hits_ = GetOutput(operation, operands, kHitsTensor); in HashtableLookup()
H A DLSTM.cpp54 LSTMCell::LSTMCell(const Operation& operation, RunTimeOperandInfo* operands) { in LSTMCell() argument
55 input_ = GetInput(operation, operands, kInputTensor); in LSTMCell()
75 input_gate_bias_ = GetInput(operation, operands, kInputGateBiasTensor); in LSTMCell()
77 cell_bias_ = GetInput(operation, operands, kCellGateBiasTensor); in LSTMCell()
83 output_state_in_ = GetInput(operation, operands, kOutputStateInTensor); in LSTMCell()
84 cell_state_in_ = GetInput(operation, operands, kCellStateInTensor); in LSTMCell()
125 cell_state_out_ = GetOutput(operation, operands, kCellStateOutTensor); in LSTMCell()
126 output_ = GetOutput(operation, operands, kOutputTensor); in LSTMCell()
128 scratch_buffer_ = GetOutput(operation, operands, kScratchBufferTensor); in LSTMCell()
307 NN_CHECK(NumInputsWithValues(operation, operands) >= 15 && in Prepare()
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/aosp12/packages/modules/NeuralNetworks/common/
H A DCpuExecutor.cpp70 : operation(operation), operands(operands) {} in OperationExecutionContext()
102 RunTimeOperandInfo* operands; member in android::nn::__anon6fdaa8540110::OperationExecutionContext
109 return &operands[operation->inputs[index]]; in getInputInfo()
114 return &operands[operation->outputs[index]]; in getOutputInfo()
530 auto& info = operands[i]; in consumeOperationInputs()
547 for (auto& info : *operands) { in freeUnusedSubgraphOperands()
575 operands.data()); in run()
577 freeUnusedSubgraphOperands(&operands); in run()
663 return operands; in initializeRunTimeInfo()
1089 SVDF svdf(operation, operands); in executeOperation()
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H A DAidlValidateHal.cpp49 std::vector<aidl_hal::Operand> operands; in validateMemoryDesc() local
50 operands.reserve(inputRoles.size() + outputRoles.size()); in validateMemoryDesc()
63 operands.push_back(model->main.operands[inputIndexes[role.ioIndex]]); in validateMemoryDesc()
77 operands.push_back(model->main.operands[outputIndexes[role.ioIndex]]); in validateMemoryDesc()
80 CHECK(!operands.empty()); in validateMemoryDesc()
81 const auto opType = operands[0].type; in validateMemoryDesc()
90 for (const auto& operand : operands) { in validateMemoryDesc()
91 NN_RET_CHECK(operand.type == operands[0].type) in validateMemoryDesc()
93 NN_RET_CHECK_EQ(operand.scale, operands[0].scale); in validateMemoryDesc()
98 const auto& rhsExtraParams = operands[0].extraParams; in validateMemoryDesc()
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H A DValidateHal.cpp174 for (auto& versionedOperand : operands) { in validateOperands()
558 const size_t operandCount = operands.size(); in validateModelInputOutputs()
582 if (operands[i].lifetime == lifetime && in validateModelInputOutputs()
604 const auto& operand = model.operands[i]; in validateGraph()
880 std::vector<V1_3::Operand> operands; in validateMemoryDesc() local
894 operands.push_back(model->main.operands[inputIndexes[role.ioIndex]]); in validateMemoryDesc()
908 operands.push_back(model->main.operands[outputIndexes[role.ioIndex]]); in validateMemoryDesc()
911 CHECK(!operands.empty()); in validateMemoryDesc()
912 const auto opType = operands[0].type; in validateMemoryDesc()
916 for (const auto& operand : operands) { in validateMemoryDesc()
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H A DLegacyUtils.cpp189 operands(operands) {} in OperationValidationContext()
211 const Operand* operands; member in android::nn::__anon648133630110::OperationValidationContext
220 return &operands[inputIndexes[index]]; in getInputOperand()
225 return &operands[outputIndexes[index]]; in getOutputOperand()
770 auto inputType = operands[inputIndexes[0]].type; in validateOperation()
810 auto inputType = operands[inputIndexes[0]].type; in validateOperation()
850 auto inputType = operands[inputIndexes[0]].type; in validateOperation()
888 auto inputType = operands[inputIndexes[1]].type; in validateOperation()
946 auto hashType = operands[inputIndexes[0]].type; in validateOperation()
1389 auto inputOperand = operands[inputIndexes[0]]; in validateOperation()
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H A DValidation.cpp698 versions.reserve(operands.size()); in validateOperands()
814 std::transform(subgraph.operands.begin(), subgraph.operands.end(), in validateExecutionOrder()
878 NN_VALIDATE(!subgraph.operands.empty()); in validateModelSubgraph()
1276 std::vector<nn::Operand> operands; in validateMemoryDescImpl() local
1290 operands.push_back(model->main.operands[inputIndexes[role.ioIndex]]); in validateMemoryDescImpl()
1304 operands.push_back(model->main.operands[outputIndexes[role.ioIndex]]); in validateMemoryDescImpl()
1307 CHECK(!operands.empty()); in validateMemoryDescImpl()
1311 for (const auto& operand : operands) { in validateMemoryDescImpl()
1333 *combinedOperand = operands.front(); in validateMemoryDescImpl()
1349 operands(operands) {} in OperationValidationContext()
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H A DLegacyHalUtils.cpp1271 return {.operands = model.operands, in convertToV1_0()
1284 return {.operands = convertToV1_0(model.operands), in convertToV1_0()
1297 return {.operands = convertToV1_0(model.main.operands), in convertToV1_0()
1306 return {.operands = model.operands, in convertToV1_1()
1339 .operands = convertToV1_0(model.main.operands), in convertToV1_1()
1349 return {.operands = convertToV1_2(model.operands), in convertToV1_2()
1359 return {.operands = convertToV1_2(model.operands), in convertToV1_2()
1377 return {.operands = convertToV1_2(model.main.operands), in convertToV1_2()
1388 return {.main = {.operands = convertToV1_3(model.operands), in convertToV1_3()
1398 return {.main = {.operands = convertToV1_3(model.operands), in convertToV1_3()
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/aosp12/packages/modules/NeuralNetworks/common/include/
H A DCpuExecutor.h169 RunTimeOperandInfo* operands);
171 int executeSubgraph(const Model::Subgraph& subgraph, RunTimeOperandInfo* operands);
173 int executeOperation(const Operation& operation, RunTimeOperandInfo* operands);
174 int executeIfOperation(const Operation& operation, RunTimeOperandInfo* operands);
175 int executeWhileOperation(const Operation& operation, RunTimeOperandInfo* operands);
178 const std::vector<RunTimeOperandInfo>& operands);
268 [&operands](uint32_t i) { return !IsNullInput(&operands[i]); }); in NumInputsWithValues()
283 inline RunTimeOperandInfo* GetInput(const Operation& operation, RunTimeOperandInfo* operands, in GetInput() argument
285 return &operands[operation.inputs[index]]; in GetInput()
288 inline RunTimeOperandInfo* GetOutput(const Operation& operation, RunTimeOperandInfo* operands, in GetOutput() argument
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/aosp12/hardware/interfaces/neuralnetworks/1.0/vts/functional/
H A DValidateModel.cpp76 return hidl_vec_push_back(&model->operands, in addOperand()
90 model->operands[index].numberOfConsumers = 1; in addOperand()
91 model->operands[index].lifetime = lifetime; in addOperand()
219 size += sizeForBinder(model.operands); in sizeForBinder()
281 if (model.operands[output].numberOfConsumers > 0) { in mutateExecutionOrderTest()
374 model->operands[operand].scale = invalidScale; in mutateOperandScaleTest()
740 const uint32_t invalidOperand = model.operands.size(); in mutateOperationInputOperandIndexTest()
756 const uint32_t invalidOperand = model.operands.size(); in mutateOperationOutputOperandIndexTest()
810 hidl_vec_removeAt(&model->operands, index); in removeOperand()
831 model->operands[operand].numberOfConsumers--; in removeOperation()
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H A DGeneratedTestHarness.cpp46 hidl_vec<Operand> operands(testModel.main.operands.size()); in createModel() local
48 for (uint32_t i = 0; i < testModel.main.operands.size(); i++) { in createModel()
49 const auto& op = testModel.main.operands[i]; in createModel()
64 operands[i] = {.type = static_cast<OperandType>(op.type), in createModel()
84 for (uint32_t i = 0; i < testModel.main.operands.size(); i++) { in createModel()
85 const auto& op = testModel.main.operands[i]; in createModel()
89 std::copy(begin, end, operandValues.data() + operands[i].location.offset); in createModel()
106 for (uint32_t i = 0; i < testModel.main.operands.size(); i++) { in createModel()
107 const auto& op = testModel.main.operands[i]; in createModel()
111 std::copy(begin, end, mappedPtr + operands[i].location.offset); in createModel()
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/aosp12/hardware/interfaces/neuralnetworks/1.1/vts/functional/
H A DValidateModel.cpp95 return hidl_vec_push_back(&model->operands, in addOperand()
109 model->operands[index].numberOfConsumers = 1; in addOperand()
110 model->operands[index].lifetime = lifetime; in addOperand()
238 size += sizeForBinder(model.operands); in sizeForBinder()
301 if (model.operands[output].numberOfConsumers > 0) { in mutateExecutionOrderTest()
337 model->operands[operand].type = in mutateOperandTypeTest()
398 model->operands[operand].scale = invalidScale; in mutateOperandScaleTest()
774 const uint32_t invalidOperand = model.operands.size(); in mutateOperationInputOperandIndexTest()
791 const uint32_t invalidOperand = model.operands.size(); in mutateOperationOutputOperandIndexTest()
850 hidl_vec_removeAt(&model->operands, index); in removeOperand()
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H A DGeneratedTestHarness.cpp53 hidl_vec<Operand> operands(testModel.main.operands.size()); in createModel() local
55 for (uint32_t i = 0; i < testModel.main.operands.size(); i++) { in createModel()
56 const auto& op = testModel.main.operands[i]; in createModel()
71 operands[i] = {.type = static_cast<OperandType>(op.type), in createModel()
91 for (uint32_t i = 0; i < testModel.main.operands.size(); i++) { in createModel()
92 const auto& op = testModel.main.operands[i]; in createModel()
96 std::copy(begin, end, operandValues.data() + operands[i].location.offset); in createModel()
113 for (uint32_t i = 0; i < testModel.main.operands.size(); i++) { in createModel()
114 const auto& op = testModel.main.operands[i]; in createModel()
118 std::copy(begin, end, mappedPtr + operands[i].location.offset); in createModel()
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/aosp12/packages/modules/NeuralNetworks/runtime/test/android_fuzzing/
H A DConverter.cpp98 std::vector<TestOperand> convert(const android_nn_fuzz::Operands& operands) { in convert() argument
100 testOperands.reserve(operands.operand_size()); in convert()
101 const auto& repeatedOperand = operands.operand(); in convert()
130 std::vector<TestOperand>* operands) { in calculateNumberOfConsumers() argument
131 CHECK(operands != nullptr); in calculateNumberOfConsumers()
132 const auto addConsumer = [operands](uint32_t operand) { in calculateNumberOfConsumers()
133 if (operand < operands->size()) { in calculateNumberOfConsumers()
134 operands->at(operand).numberOfConsumers++; in calculateNumberOfConsumers()
144 std::vector<TestOperand> operands = convert(model.operands()); in convert() local
151 calculateNumberOfConsumers(operations, &operands); in convert()
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/aosp12/hardware/interfaces/neuralnetworks/1.1/utils/src/
H A DConversions.cpp103 NN_TRY(hal::utils::countNumberOfConsumers(model.operands.size(), operations)); in unvalidatedConvert()
104 CHECK(model.operands.size() == numberOfConsumers.size()); in unvalidatedConvert()
105 for (size_t i = 0; i < model.operands.size(); ++i) { in unvalidatedConvert()
106 if (model.operands[i].numberOfConsumers != numberOfConsumers[i]) { in unvalidatedConvert()
114 .operands = NN_TRY(unvalidatedConvert(model.operands)), in unvalidatedConvert()
222 auto operands = NN_TRY(unvalidatedConvert(model.main.operands)); in unvalidatedConvert() local
226 NN_TRY(hal::utils::countNumberOfConsumers(operands.size(), model.main.operations)); in unvalidatedConvert()
227 CHECK(operands.size() == numberOfConsumers.size()); in unvalidatedConvert()
228 for (size_t i = 0; i < operands.size(); ++i) { in unvalidatedConvert()
229 operands[i].numberOfConsumers = numberOfConsumers[i]; in unvalidatedConvert()
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/aosp12/art/runtime/
H A Dmethod_handles.cc320 size_t src_reg = operands->GetOperand(i); in CopyArgumentsFromCallerFrame()
341 const InstructionOperands* const operands, in ConvertAndCopyArgumentsFromCallerFrame() argument
469 operands, in MethodHandleInvokeMethod()
734 uint32_t receiver_reg = (operands->GetNumberOfOperands() > 0) ? operands->GetOperand(0) : 0u; in DoInvokePolymorphicMethod()
774 operands, in DoInvokePolymorphicMethod()
994 DCHECK_EQ(operands->GetNumberOfOperands(), in DoVarHandleInvokeTranslationUnchecked()
1117 operands, in MethodHandleInvokeInternal()
1133 operands, in MethodHandleInvokeInternal()
1142 const InstructionOperands* const operands, in MethodHandleInvokeExactInternal() argument
1184 uint32_t receiver_reg = (operands->GetNumberOfOperands() > 0) ? operands->GetOperand(0) : 0u; in MethodHandleInvokeExactInternal()
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/aosp12/hardware/interfaces/neuralnetworks/1.2/vts/functional/
H A DValidateModel.cpp96 return hidl_vec_push_back(&model->operands, in addOperand()
110 model->operands[index].numberOfConsumers = 1; in addOperand()
111 model->operands[index].lifetime = lifetime; in addOperand()
276 size += sizeForBinder(model.operands); in sizeForBinder()
340 if (model.operands[output].numberOfConsumers > 0) { in mutateExecutionOrderTest()
376 model->operands[operand].type = in mutateOperandTypeTest()
456 model->operands[operand].scale = invalidScale; in mutateOperandScaleTest()
915 const uint32_t invalidOperand = model.operands.size(); in mutateOperationInputOperandIndexTest()
932 const uint32_t invalidOperand = model.operands.size(); in mutateOperationOutputOperandIndexTest()
991 hidl_vec_removeAt(&model->operands, index); in removeOperand()
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/aosp12/hardware/interfaces/neuralnetworks/1.3/vts/functional/
H A DValidateModel.cpp103 return hidl_vec_push_back(&model->main.operands, in addOperand()
117 model->main.operands[index].numberOfConsumers = 1; in addOperand()
118 model->main.operands[index].lifetime = lifetime; in addOperand()
273 size += sizeForBinder(subgraph.operands); in sizeForBinder()
358 if (model.main.operands[output].numberOfConsumers > 0) { in mutateExecutionOrderTest()
395 model->main.operands[operand].type = in mutateOperandTypeTest()
437 model->main.operands[operand].dimensions = in mutateOperandRankTest()
980 const uint32_t invalidOperand = model.main.operands.size(); in mutateOperationInputOperandIndexTest()
1059 hidl_vec_removeAt(&model->main.operands, index); in removeOperand()
1069 const Operand& operand = model.main.operands[operandIndex]; in removeOperandSkip()
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