1 // clang-format off 2 // Generated file (from: softmax_float_2.mod.py). Do not edit 3 void CreateModel(Model *model) { 4 OperandType type0(Type::TENSOR_FLOAT32, {2, 5}); 5 OperandType type1(Type::FLOAT32, {}); 6 // Phase 1, operands 7 auto input = model->addOperand(&type0); 8 auto beta = model->addOperand(&type1); 9 auto output = model->addOperand(&type0); 10 // Phase 2, operations 11 static float beta_init[] = {1.0f}; 12 model->setOperandValue(beta, beta_init, sizeof(float) * 1); 13 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output}); 14 // Phase 3, inputs and outputs 15 model->identifyInputsAndOutputs( 16 {input}, 17 {output}); 18 assert(model->isValid()); 19 } 20 21 inline bool is_ignored(int i) { 22 static std::set<int> ignore = {}; 23 return ignore.find(i) != ignore.end(); 24 } 25 26 void CreateModel_dynamic_output_shape(Model *model) { 27 OperandType type0(Type::TENSOR_FLOAT32, {2, 5}); 28 OperandType type1(Type::FLOAT32, {}); 29 OperandType type2(Type::TENSOR_FLOAT32, {0, 0}); 30 // Phase 1, operands 31 auto input = model->addOperand(&type0); 32 auto beta = model->addOperand(&type1); 33 auto output = model->addOperand(&type2); 34 // Phase 2, operations 35 static float beta_init[] = {1.0f}; 36 model->setOperandValue(beta, beta_init, sizeof(float) * 1); 37 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output}); 38 // Phase 3, inputs and outputs 39 model->identifyInputsAndOutputs( 40 {input}, 41 {output}); 42 assert(model->isValid()); 43 } 44 45 inline bool is_ignored_dynamic_output_shape(int i) { 46 static std::set<int> ignore = {}; 47 return ignore.find(i) != ignore.end(); 48 } 49 50
