diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/fully_connected_float_1_nnfw.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/fully_connected_float_1_nnfw.model.cpp | 32 |
1 files changed, 32 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/fully_connected_float_1_nnfw.model.cpp b/runtimes/tests/neural_networks_test/generated/models/fully_connected_float_1_nnfw.model.cpp new file mode 100644 index 000000000..04c4efece --- /dev/null +++ b/runtimes/tests/neural_networks_test/generated/models/fully_connected_float_1_nnfw.model.cpp @@ -0,0 +1,32 @@ +// Generated file (from: fully_connected_float_1_nnfw.mod.py). Do not edit +void CreateModel(Model *model) { + OperandType type4(Type::INT32, {}); + OperandType type3(Type::TENSOR_FLOAT32, {1, 1}); + OperandType type1(Type::TENSOR_FLOAT32, {1, 24}); + OperandType type0(Type::TENSOR_FLOAT32, {1, 3, 4, 2}); + OperandType type2(Type::TENSOR_FLOAT32, {1}); + // 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_relu = model->addOperand(&type4); + // Phase 2, operations + static float op2_init[] = {-0.25449711f, 0.0f, -2.1247749f, 0.0f, -1.143796f, 0.0f, -1.0299346f, 0.0f, -2.2373879f, 0.0f, -0.083096743f, 0.0f, -1.3230739f, 0.0f, 0.15294921f, 0.0f, -0.53045893f, 0.0f, -0.46075189f, 0.0f, -1.4482396f, 0.0f, -1.609534f, 0.0f}; + model->setOperandValue(op2, op2_init, sizeof(float) * 24); + static float b0_init[] = {0.70098364f}; + model->setOperandValue(b0, b0_init, sizeof(float) * 1); + static int32_t act_relu_init[] = {0}; + model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1); + model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act_relu}, {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(); +} |