1 // Generated file (from: squeeze.mod.py). Do not edit 2 void CreateModel(Model *model) { 3 OperandType type0(Type::TENSOR_FLOAT32, {4, 1, 1, 2}); 4 OperandType type2(Type::TENSOR_FLOAT32, {4, 2}); 5 OperandType type1(Type::TENSOR_INT32, {2}); 6 // Phase 1, operands 7 auto input = model->addOperand(&type0); 8 auto squeezeDims = model->addOperand(&type1); 9 auto output = model->addOperand(&type2); 10 // Phase 2, operations 11 static int32_t squeezeDims_init[] = {1, 2}; 12 model->setOperandValue(squeezeDims, squeezeDims_init, sizeof(int32_t) * 2); 13 model->addOperation(ANEURALNETWORKS_SQUEEZE, {input, squeezeDims}, {output}); 14 // Phase 3, inputs and outputs 15 model->identifyInputsAndOutputs( 16 {input}, 17 {output}); 18 assert(model->isValid()); 19 } 20 21 bool is_ignored(int i) { 22 static std::set<int> ignore = {}; 23 return ignore.find(i) != ignore.end(); 24 } 25
