diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/mean_quant8_2.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/mean_quant8_2.model.cpp | 28 |
1 files changed, 28 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/mean_quant8_2.model.cpp b/runtimes/tests/neural_networks_test/generated/models/mean_quant8_2.model.cpp new file mode 100644 index 000000000..dec9d81ca --- /dev/null +++ b/runtimes/tests/neural_networks_test/generated/models/mean_quant8_2.model.cpp @@ -0,0 +1,28 @@ +// Generated file (from: mean_quant8_2.mod.py). Do not edit +void CreateModel(Model *model) { + OperandType type2(Type::INT32, {}); + OperandType type1(Type::TENSOR_INT32, {2}); + OperandType type3(Type::TENSOR_QUANT8_ASYMM, {1, 3, 1}, 0.8, 5); + OperandType type0(Type::TENSOR_QUANT8_ASYMM, {4, 3, 2}, 0.8, 5); + // Phase 1, operands + auto input = model->addOperand(&type0); + auto axis = model->addOperand(&type1); + auto keepDims = model->addOperand(&type2); + auto output = model->addOperand(&type3); + // Phase 2, operations + static int32_t axis_init[] = {0, 2}; + model->setOperandValue(axis, axis_init, sizeof(int32_t) * 2); + static int32_t keepDims_init[] = {1}; + model->setOperandValue(keepDims, keepDims_init, sizeof(int32_t) * 1); + model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {output}); + // Phase 3, inputs and outputs + model->identifyInputsAndOutputs( + {input}, + {output}); + assert(model->isValid()); +} + +bool is_ignored(int i) { + static std::set<int> ignore = {}; + return ignore.find(i) != ignore.end(); +} |