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/frameworks/ml/nn/runtime/test/
DTestPartitioning.cpp2165 std::vector<std::unique_ptr<PartitioningModel>>* models) { in createControlFlowModelForCachingTests() argument
2166 CHECK(models != nullptr); in createControlFlowModelForCachingTests()
2200 models->clear(); in createControlFlowModelForCachingTests()
2201 models->push_back(std::move(mainModel)); in createControlFlowModelForCachingTests()
2202 models->push_back(std::move(trueModel)); in createControlFlowModelForCachingTests()
2203 models->push_back(std::move(falseModel)); in createControlFlowModelForCachingTests()
2496 std::vector<std::unique_ptr<PartitioningModel>> models; in TEST_F() local
2497 createControlFlowModelForCachingTests(&models); in TEST_F()
2498 const auto& main = *models[0]; in TEST_F()
2614 std::vector<std::unique_ptr<PartitioningModel>> models; in createIfModel() local
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/frameworks/ml/nn/tools/test_generator/
DREADME.md329 Converters that support nested control flow models accept the following syntax:
343 …he minimal required HAL version will be inferred from the path, e.g. the models defined in `nn/run…
369 model inputs and outputs. This is particularly useful for models referenced by
Dtest_generator.py452 models = list() variable in Model
463 Model.models.append(self)
1057 self.model = Model.models[-1] if model is None else model
1312 Model.models = list()
/frameworks/ml/nn/extensions/
DREADME.md194 same extension name in different models.
/frameworks/ml/nn/tools/api/
DNeuralNetworks.t166 /** The device runs NNAPI models on single or multi-core CPU. */
168 /** The device can run NNAPI models and also accelerate graphics APIs such
1181 * compilation, to distinguish it from other models referred to by an Operand
1754 * referenced models is overridden by that setting of the main model of a
1843 * a compilation overrides the values of the referenced models.
1869 * compilation, to distinguish it from other models referred to by an Operand