diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/topk_v2_2D_quant8.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/topk_v2_2D_quant8.model.cpp | 26 |
1 files changed, 26 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/topk_v2_2D_quant8.model.cpp b/runtimes/tests/neural_networks_test/generated/models/topk_v2_2D_quant8.model.cpp new file mode 100644 index 000000000..a0ffc8946 --- /dev/null +++ b/runtimes/tests/neural_networks_test/generated/models/topk_v2_2D_quant8.model.cpp @@ -0,0 +1,26 @@ +// Generated file (from: topk_v2_2D_quant8.mod.py). Do not edit +void CreateModel(Model *model) { + OperandType type1(Type::INT32, {}); + OperandType type3(Type::TENSOR_INT32, {3,2}); + OperandType type2(Type::TENSOR_QUANT8_ASYMM, {3,2}, 0.5f, 1); + OperandType type0(Type::TENSOR_QUANT8_ASYMM, {3,4}, 0.5f, 1); + // Phase 1, operands + auto op1 = model->addOperand(&type0); + auto k = model->addOperand(&type1); + auto op2 = model->addOperand(&type2); + auto op3 = model->addOperand(&type3); + // Phase 2, operations + static int32_t k_init[] = {2}; + model->setOperandValue(k, k_init, sizeof(int32_t) * 1); + model->addOperationEx(ANEURALNETWORKS_TOPK_V2_EX, {op1, k}, {op2, op3}); + // Phase 3, inputs and outputs + model->identifyInputsAndOutputs( + {op1}, + {op2, op3}); + assert(model->isValid()); +} + +bool is_ignored(int i) { + static std::set<int> ignore = {}; + return ignore.find(i) != ignore.end(); +} |