/hardware/qcom/neuralnetworks/hvxservice/1.0/ |
D | HexagonModel.cpp | 270 static bool verifyOperationOutputs(const std::vector<hexagon_nn_output>& outputs) { in verifyOperationOutputs() argument 271 for (const hexagon_nn_output& output : outputs) { in verifyOperationOutputs() 281 const std::vector<hexagon_nn_output>& outputs) { in addOperationInternal() argument 284 HEXAGON_SOFT_ASSERT(verifyOperationOutputs(outputs), in addOperationInternal() 288 inputs.size(), outputs.data(), in addOperationInternal() 289 outputs.size()) == 0 in addOperationInternal() 295 std::vector<hexagon_nn_output> outputs; in getHexagonOutputs() local 298 outputs.push_back(make_hexagon_nn_output(operand.dimensions, getSize(operand.type))); in getHexagonOutputs() 300 outputs.push_back(make_hexagon_nn_output({1, 1, 1, 1}, sizeof(float))); in getHexagonOutputs() 301 outputs.push_back(make_hexagon_nn_output({1, 1, 1, 1}, sizeof(float))); in getHexagonOutputs() [all …]
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D | HexagonModel.h | 115 const std::vector<uint32_t>& outputs); 119 const std::vector<uint32_t>& outputs); 123 const std::vector<uint32_t>& outputs); 127 const std::vector<uint32_t>& outputs); 131 const std::vector<uint32_t>& outputs); 141 const std::vector<hexagon_nn_output>& outputs);
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D | HexagonController.cpp | 128 uint32_t num_inputs, const hexagon_nn_output* outputs, in append_node() argument 130 CONTROLLER_CHECK(append_node, id, node_id, operation, padding, inputs, num_inputs, outputs, in append_node() 141 uint32_t n_inputs, hexagon_nn_tensordef* outputs, uint32_t n_outputs) { in execute_new() argument 142 CONTROLLER_CHECK(execute_new, id, inputs, n_inputs, outputs, n_outputs); in execute_new()
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D | HexagonController.h | 71 uint32_t num_inputs, const hexagon_nn_output* outputs, uint32_t num_outputs); 77 hexagon_nn_tensordef* outputs, uint32_t n_outputs);
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/hardware/libhardware_legacy/audio/ |
D | audio_policy.conf | 28 outputs { 47 outputs {
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/hardware/interfaces/neuralnetworks/1.0/vts/functional/ |
D | BasicTests.cpp | 141 {.type = OperationType::ADD, .inputs = {0, 4, 2}, .outputs = {3}}, in TEST_P() 142 {.type = OperationType::ADD, .inputs = {1, 3, 2}, .outputs = {4}}, in TEST_P() 143 {.type = OperationType::ADD, .inputs = {4, 0, 2}, .outputs = {5}}, in TEST_P()
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D | ValidateModel.cpp | 190 size += sizeForBinder(operation.outputs); in sizeForBinder() 280 for (uint32_t output : operationObj.outputs) { in mutateExecutionOrderTest() 597 for (size_t badOutputNum = 0; badOutputNum < model.operations[operation].outputs.size(); in mutateOperandAddWriterTest() 599 const uint32_t outputOperandIndex = model.operations[operation].outputs[badOutputNum]; in mutateOperandAddWriterTest() 612 for (size_t outputNum = 0; outputNum < newOperation.outputs.size(); ++outputNum) { in mutateOperandAddWriterTest() 615 Operand operandValue = model->operands[newOperation.outputs[outputNum]]; in mutateOperandAddWriterTest() 622 newOperation.outputs[outputNum] = in mutateOperandAddWriterTest() 757 for (size_t output = 0; output < model.operations[operation].outputs.size(); ++output) { in mutateOperationOutputOperandIndexTest() 762 model->operations[operation].outputs[output] = invalidOperand; in mutateOperationOutputOperandIndexTest() 772 for (size_t outputNum = 0; outputNum < model.operations[operation].outputs.size(); in mutateOperationRemoveWriteTest() [all …]
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D | GeneratedTestHarness.cpp | 79 .outputs = op.outputs}; in createModel() 148 const std::vector<TestBuffer> outputs = context.getOutputBuffers(request); in Execute() local 151 checkResults(testModel, outputs); in Execute()
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D | Utils.cpp | 123 hidl_vec<RequestArgument> outputs(testModel.main.outputIndexes.size()); in createRequest() local 140 outputs[i] = {.hasNoValue = false, .location = loc, .dimensions = {}}; in createRequest() 166 return {.inputs = std::move(inputs), .outputs = std::move(outputs), .pools = std::move(pools)}; in createRequest() 173 for (const auto& output : request.outputs) { in getOutputBuffers()
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D | ValidateRequest.cpp | 83 for (size_t output = 0; output < request.outputs.size(); ++output) { in removeOutputTest() 86 [output](Request* request) { hidl_vec_removeAt(&request->outputs, output); }); in removeOutputTest()
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/hardware/interfaces/neuralnetworks/1.1/vts/functional/ |
D | BasicTests.cpp | 148 {.type = OperationType::ADD, .inputs = {0, 4, 2}, .outputs = {3}}, in TEST_P() 149 {.type = OperationType::ADD, .inputs = {1, 3, 2}, .outputs = {4}}, in TEST_P() 150 {.type = OperationType::ADD, .inputs = {4, 0, 2}, .outputs = {5}}, in TEST_P()
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D | ValidateModel.cpp | 209 size += sizeForBinder(operation.outputs); in sizeForBinder() 300 for (uint32_t output : operationObj.outputs) { in mutateExecutionOrderTest() 625 for (size_t badOutputNum = 0; badOutputNum < model.operations[operation].outputs.size(); in mutateOperandAddWriterTest() 627 const uint32_t outputOperandIndex = model.operations[operation].outputs[badOutputNum]; in mutateOperandAddWriterTest() 641 for (size_t outputNum = 0; outputNum < newOperation.outputs.size(); in mutateOperandAddWriterTest() 646 model->operands[newOperation.outputs[outputNum]]; in mutateOperandAddWriterTest() 654 newOperation.outputs[outputNum] = in mutateOperandAddWriterTest() 792 for (size_t output = 0; output < model.operations[operation].outputs.size(); ++output) { in mutateOperationOutputOperandIndexTest() 798 model->operations[operation].outputs[output] = invalidOperand; in mutateOperationOutputOperandIndexTest() 808 for (size_t outputNum = 0; outputNum < model.operations[operation].outputs.size(); in mutateOperationRemoveWriteTest() [all …]
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D | ValidateRequest.cpp | 67 for (size_t output = 0; output < request.outputs.size(); ++output) { in removeOutputTest() 70 [output](Request* request) { hidl_vec_removeAt(&request->outputs, output); }); in removeOutputTest()
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D | GeneratedTestHarness.cpp | 86 .outputs = op.outputs}; in createModel() 156 const std::vector<TestBuffer> outputs = context.getOutputBuffers(request); in Execute() local 159 checkResults(testModel, outputs); in Execute()
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/hardware/interfaces/neuralnetworks/1.3/vts/functional/ |
D | MemoryDomainTests.cpp | 142 .outputs = {outputIndex}}); in createConvModel() 182 .outputs = {3}}}, in createSingleAddModel() 967 .outputs = {sharedMemoryArg}, in TEST_P() 972 .outputs = {sharedMemoryArg}, in TEST_P() 977 .outputs = {deviceMemoryArg}, in TEST_P() 982 .outputs = {deviceMemoryArg}, in TEST_P() 1004 .outputs = {sharedMemoryArg}, in TEST_P() 1009 .outputs = {deviceMemoryArg}, in TEST_P() 1035 .outputs = {sharedMemoryArg2, sharedMemoryArg3}, in TEST_P() 1042 .outputs = {sharedMemoryArg3, deviceMemoryArg}, in TEST_P() [all …]
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D | ValidateModel.cpp | 244 size += sizeForBinder(operation.outputs); in sizeForBinder() 357 for (uint32_t output : operationObj.outputs) { in mutateExecutionOrderTest() 721 badOutputNum < model.main.operations[operation].outputs.size(); ++badOutputNum) { in mutateOperandAddWriterTest() 723 model.main.operations[operation].outputs[badOutputNum]; in mutateOperandAddWriterTest() 737 for (size_t outputNum = 0; outputNum < newOperation.outputs.size(); in mutateOperandAddWriterTest() 742 model->main.operands[newOperation.outputs[outputNum]]; in mutateOperandAddWriterTest() 750 newOperation.outputs[outputNum] = in mutateOperandAddWriterTest() 872 if (operand == operation.outputs[0] && in mutateOperationOperandTypeSkip() 892 if (operand == operation.outputs[0] && in mutateOperationOperandTypeSkip() 999 for (size_t output = 0; output < model.main.operations[operation].outputs.size(); in mutateOperationOutputOperandIndexTest() [all …]
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D | GeneratedTestHarness.cpp | 248 .outputs = op.outputs}; in createSubgraph() 325 auto& length = request->outputs[outputIndex].location.length; in makeOutputInsufficientSize() 402 hidl_vec<RequestArgument> outputs(testModel.main.outputIndexes.size()); in createRequest() local 414 outputs[i] = {.hasNoValue = false, .location = loc, .dimensions = {}}; in createRequest() 432 outputs[i] = {.hasNoValue = false, .location = loc, .dimensions = {}}; in createRequest() 467 .inputs = std::move(inputs), .outputs = std::move(outputs), .pools = std::move(pools)}; in createRequest() 475 for (uint32_t i = 0; i < request.outputs.size(); i++) { in getOutputBuffers() 476 const auto& outputLoc = request.outputs[i].location; in getOutputBuffers() 782 const std::vector<TestBuffer> outputs = context.getOutputBuffers(testModel, request); in EvaluatePreparedModel() local 785 checkResults(testModel, outputs); in EvaluatePreparedModel()
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D | ValidateRequest.cpp | 166 for (size_t output = 0; output < request.outputs.size(); ++output) { in removeOutputTest() 169 [output](Request* request) { hidl_vec_removeAt(&request->outputs, output); }); in removeOutputTest()
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/hardware/interfaces/neuralnetworks/1.2/vts/functional/ |
D | ValidateModel.cpp | 237 size += sizeForBinder(operation.outputs); in sizeForBinder() 339 for (uint32_t output : operationObj.outputs) { in mutateExecutionOrderTest() 693 for (size_t badOutputNum = 0; badOutputNum < model.operations[operation].outputs.size(); in mutateOperandAddWriterTest() 695 const uint32_t outputOperandIndex = model.operations[operation].outputs[badOutputNum]; in mutateOperandAddWriterTest() 709 for (size_t outputNum = 0; outputNum < newOperation.outputs.size(); in mutateOperandAddWriterTest() 714 model->operands[newOperation.outputs[outputNum]]; in mutateOperandAddWriterTest() 722 newOperation.outputs[outputNum] = in mutateOperandAddWriterTest() 849 if (operand == operation.outputs[0] && in mutateOperationOperandTypeSkip() 933 for (size_t output = 0; output < model.operations[operation].outputs.size(); ++output) { in mutateOperationOutputOperandIndexTest() 939 model->operations[operation].outputs[output] = invalidOperand; in mutateOperationOutputOperandIndexTest() [all …]
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D | BasicTests.cpp | 222 {.type = OperationType::ADD, .inputs = {0, 4, 2}, .outputs = {3}}, in TEST_P() 223 {.type = OperationType::ADD, .inputs = {1, 3, 2}, .outputs = {4}}, in TEST_P() 224 {.type = OperationType::ADD, .inputs = {4, 0, 2}, .outputs = {5}}, in TEST_P()
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D | GeneratedTestHarness.cpp | 119 .outputs = op.outputs}; in createModel() 171 auto& length = request->outputs[outputIndex].location.length; in makeOutputInsufficientSize() 331 const std::vector<TestBuffer> outputs = context.getOutputBuffers(request); in EvaluatePreparedModel() local 334 checkResults(testModel, outputs); in EvaluatePreparedModel()
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D | ValidateRequest.cpp | 144 for (size_t output = 0; output < request.outputs.size(); ++output) { in removeOutputTest() 147 [output](Request* request) { hidl_vec_removeAt(&request->outputs, output); }); in removeOutputTest()
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/hardware/qcom/neuralnetworks/hvxservice/1.0/hexagon_nn_controller/ |
D | hexagon_nn_controller.h | 88 const hexagon_nn_input* inputs, unsigned int num_inputs, const hexagon_nn_output* outputs, 100 hexagon_nn_tensordef* outputs,
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/hardware/libhardware/modules/usbcamera/ |
D | Camera.cpp | 290 int outputs = 0; in isValidStreamSetLocked() local 302 outputs++; in isValidStreamSetLocked() 305 __func__, mId, outputs, inputs); in isValidStreamSetLocked() 306 if (outputs < 1) { in isValidStreamSetLocked()
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/hardware/libhardware/modules/camera/3_0/ |
D | Camera.cpp | 240 int outputs = 0; in isValidStreamSet() local 256 outputs++; in isValidStreamSet() 259 __func__, mId, outputs, inputs); in isValidStreamSet() 260 if (outputs < 1) { in isValidStreamSet()
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