diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/fully_connected_float_3.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/fully_connected_float_3.model.cpp | 32 |
1 files changed, 32 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/fully_connected_float_3.model.cpp b/runtimes/tests/neural_networks_test/generated/models/fully_connected_float_3.model.cpp new file mode 100644 index 000000000..15275251f --- /dev/null +++ b/runtimes/tests/neural_networks_test/generated/models/fully_connected_float_3.model.cpp @@ -0,0 +1,32 @@ +// Generated file (from: fully_connected_float_3.mod.py). Do not edit +void CreateModel(Model *model) { + OperandType type4(Type::INT32, {}); + OperandType type1(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type2(Type::TENSOR_FLOAT32, {1}); + OperandType type3(Type::TENSOR_FLOAT32, {2, 1}); + OperandType type0(Type::TENSOR_FLOAT32, {2, 2}); + // Phase 1, operands + auto op1 = model->addOperand(&type0); + auto op2 = model->addOperand(&type1); + auto b0 = model->addOperand(&type2); + auto op3 = model->addOperand(&type3); + auto act = model->addOperand(&type4); + // Phase 2, operations + static float op2_init[] = {2.0f, 4.0f}; + model->setOperandValue(op2, op2_init, sizeof(float) * 2); + static float b0_init[] = {1.0f}; + model->setOperandValue(b0, b0_init, sizeof(float) * 1); + static int32_t act_init[] = {0}; + model->setOperandValue(act, act_init, sizeof(int32_t) * 1); + model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3}); + // Phase 3, inputs and outputs + model->identifyInputsAndOutputs( + {op1}, + {op3}); + assert(model->isValid()); +} + +bool is_ignored(int i) { + static std::set<int> ignore = {}; + return ignore.find(i) != ignore.end(); +} |