1 // Generated file (from: squeeze_float_1.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type0(Type::TENSOR_FLOAT32, {1, 24, 1});
4 OperandType type2(Type::TENSOR_FLOAT32, {1, 24});
5 OperandType type1(Type::TENSOR_INT32, {1});
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[] = {2};
12 model->setOperandValue(squeezeDims, squeezeDims_init, sizeof(int32_t) * 1);
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
is_ignored(int i)21 bool is_ignored(int i) {
22 static std::set<int> ignore = {};
23 return ignore.find(i) != ignore.end();
24 }
25