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/packages/modules/NeuralNetworks/runtime/test/fuzzing/
DTestRandomGraph.cpp210 for (const auto& op : mTestModel.main.operations) { in shouldSkipTest()
213 mTestModel.main.operands[op.inputs[0]].dimensions[0] == 1 && in shouldSkipTest()
226 mTestModel.main.operands[op.inputs[0]].type == in shouldSkipTest()
247 auto fpModel = convertToFloat32Model(mTestModel); in computeGoldenResults()
248 const TestModel& goldenModel = fpModel.has_value() ? fpModel.value() : mTestModel; in computeGoldenResults()
273 setExpectedOutputsFromFloat32Results(outputs, &mTestModel); in computeGoldenResults()
276 auto outputIndex = mTestModel.main.outputIndexes[i]; in computeGoldenResults()
277 mTestModel.main.operands[outputIndex].data = outputs[i]; in computeGoldenResults()
326 generated_tests::createRequest(mTestModel, &execution, &outputs); in computeAndVerifyResultsForDevice()
340 checkResults(mTestModel, outputs, mCriteria); in computeAndVerifyResultsForDevice()
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