| /packages/modules/NeuralNetworks/tools/test_generator/test_harness/ |
| D | TestUtils.cpp | 154 for (uint32_t operandIndex : testModel.main.inputIndexes) { in createRequest() local
178 for (uint32_t operandIndex : testModel.main.outputIndexes) { in createRequest() local
|
| /packages/modules/NeuralNetworks/runtime/test/ |
| D | TestPartitioningRandom.cpp | 415 const uint32_t operandIndex = model->addOperand(&biasType); in makeRnnSpecialInput() local
433 const uint32_t operandIndex = model->addOperand(&permType); in makeTransposeSpecialInput() local
743 const uint32_t operandIndex = model.addOperand(&activationFunctionType); in TEST_P() local
754 const int operandIndex = (this->*(operationPattern.mMakeSpecialInput))( in TEST_P() local
837 uint32_t operandIndex = ~0U; in TEST_P() local
940 [&deadOperands, operationIndex](uint32_t operandIndex) { in TEST_P()
948 const uint32_t operandIndex = valueOperand.first; in TEST_P() local
971 const uint32_t operandIndex = outputs[outputIdx]; in TEST_P() local
|
| D | TestOperandExtraParams.cpp | 121 int operandIndex = nextOperandIndex++; in testAddingWithSymmPerChannelQuantParams() local
|
| D | TestValidation.cpp | 464 const int32_t operandIndex = addTensorOperand(ANEURALNETWORKS_TENSOR_QUANT8_SYMM_PER_CHANNEL); in TEST_F() local
494 const int32_t operandIndex = in TEST_F() local
510 const int32_t operandIndex = in TEST_F() local
530 const int32_t operandIndex = in TEST_F() local
537 const int32_t operandIndex = addTensorOperand(); in TEST_F() local
551 const int32_t operandIndex = addOperand(type); in TEST_F() local
563 const int32_t operandIndex = addOperand(type); in TEST_F() local
|
| /packages/modules/NeuralNetworks/runtime/ |
| D | ModelBuilder.cpp | 457 const uint32_t operandIndex = indexList[i]; in identifyInputsAndOutputs() local
847 for (uint32_t operandIndex : mOperations[operationIndex].inputs) { in sortIntoRunOrder() local
871 for (uint32_t operandIndex : operation.outputs) { in sortIntoRunOrder() local
|
| D | ModelBuilder.h | 223 uint32_t operandIndex; member
|
| D | ExecutionPlan.cpp | 191 for (uint32_t operandIndex : operation.inputs) { in OperandTracker() local
209 for (uint32_t operandIndex : operation.outputs) { in markProcessed() local
260 void addRole(const ExecutionStep& step, uint32_t operandIndex, IOType type, in addRole()
1545 SourceOperandIndex operandIndex, bool* value) const { in readConditionValue()
2044 const auto operandIndex = mainModel->getInputOperandIndex(index); in getInputSourceOperand() local
2051 const auto operandIndex = mainModel->getOutputOperandIndex(index); in getOutputSourceOperand() local
2447 const uint32_t operandIndex = operation.inputs[0]; in getPerformance() local
2470 for (uint32_t operandIndex : operandIndexes) { in isControlFlowOperationWithOperandOfUnknownSize() local
|
| D | Manager.cpp | 376 for (uint32_t operandIndex : operands) { in getSupportedOperations() local
|
| /packages/modules/NeuralNetworks/shim_and_sl/ |
| D | ShimConverter.cpp | 113 uint32_t operandIndex = resultModel.addOperand(&operandType); in convertSubgraphFromHAL() local
|
| /packages/modules/NeuralNetworks/common/ |
| D | ValidateHal.cpp | 769 const uint32_t operandIndex = operandIndexes[requestArgumentIndex]; in validateRequestArguments() local
|
| D | CpuExecutor.cpp | 672 const uint32_t operandIndex = indexes[i]; in updateForArguments() local
1865 const uint32_t operandIndex = outputIndexes[i]; in setOutputShapes() local
|
| /packages/modules/NeuralNetworks/common/types/src/ |
| D | TypeUtils.cpp | 231 for (uint32_t operandIndex : operation.inputs) { in countNumberOfConsumers() local
|
| D | Validation.cpp | 1163 const uint32_t operandIndex = operandIndexes[requestArgumentIndex]; in validateRequestArgumentsForModel() local
|
| /packages/modules/NeuralNetworks/driver/sample_hidl/ |
| D | SampleDriverFloatXNNPACK.cpp | 78 const uint32_t operandIndex = indexes[i]; in updateForArguments() local
|