1 // Generated file (from: conv_float_large_weights_as_inputs.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type3(Type::INT32, {});
4 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 3});
5 OperandType type1(Type::TENSOR_FLOAT32, {3, 1, 1, 3});
6 OperandType type2(Type::TENSOR_FLOAT32, {3});
7 // Phase 1, operands
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type1);
10 auto op3 = model->addOperand(&type2);
11 auto pad0 = model->addOperand(&type3);
12 auto act = model->addOperand(&type3);
13 auto stride = model->addOperand(&type3);
14 auto op4 = model->addOperand(&type0);
15 // Phase 2, operations
16 static int32_t pad0_init[] = {0};
17 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
18 static int32_t act_init[] = {0};
19 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
20 static int32_t stride_init[] = {1};
21 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
22 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4});
23 // Phase 3, inputs and outputs
24 model->identifyInputsAndOutputs(
25 {op1, op2, op3},
26 {op4});
27 assert(model->isValid());
28 }
29
is_ignored(int i)30 bool is_ignored(int i) {
31 static std::set<int> ignore = {};
32 return ignore.find(i) != ignore.end();
33 }
34