179                         kTestModel.main.operands[kTestModel.main.inputIndexes[index]].data;  in allocateInternal()
302     Subgraph mainSubgraph = createSubgraph(testModel.main, &constCopySize, &constCopies,  in createModel()
337     return {.main = std::move(mainSubgraph),  in createModel()
345     const auto byteSize = testModel.main.operands[testModel.main.outputIndexes[index]].data.size();  in isOutputSizeGreaterThanOne()
358     for (auto i : model->main.outputIndexes) {  in makeOutputDimensionsUnspecified()
359         auto& dims = model->main.operands[i].dimensions;  in makeOutputDimensionsUnspecified()
407     std::vector<RequestArgument> inputs(testModel.main.inputIndexes.size());  in createRequest()
409     for (uint32_t i = 0; i < testModel.main.inputIndexes.size(); i++) {  in createRequest()
410         const auto& op = testModel.main.operands[testModel.main.inputIndexes[i]];  in createRequest()
440     std::vector<RequestArgument> outputs(testModel.main.outputIndexes.size());  in createRequest()
442     for (uint32_t i = 0; i < testModel.main.outputIndexes.size(); i++) {  in createRequest()
443         const auto& op = testModel.main.operands[testModel.main.outputIndexes[i]];  in createRequest()
508     for (uint32_t i = 0; i < testModel.main.inputIndexes.size(); i++) {  in createRequest()
510             const auto& op = testModel.main.operands[testModel.main.inputIndexes[i]];  in createRequest()
530             const auto& op = testModel.main.operands[testModel.main.outputIndexes[i]];  in getOutputBuffers()
564     return std::any_of(testModel.main.outputIndexes.begin(), testModel.main.outputIndexes.end(),  in hasZeroSizedOutput()
566                            return testModel.main.operands[index].data.size() == 0;  in hasZeroSizedOutput()
802                             outputShapes.size() == testModel.main.outputIndexes.size());  in EvaluatePreparedModel()
813                 ASSERT_EQ(outputShapes.size(), testModel.main.outputIndexes.size());  in EvaluatePreparedModel()
822                 ASSERT_EQ(outputShapes.size(), testModel.main.outputIndexes.size());  in EvaluatePreparedModel()
831                             testModel.main.operands[testModel.main.outputIndexes[i]].dimensions;  in EvaluatePreparedModel()
850                     testModel.main.operands[testModel.main.outputIndexes[i]].dimensions;  in EvaluatePreparedModel()
1131            testModel.main.operations.size() == 1;  in __anon46f8ad520b02()