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// Generated file (from: sub_broadcast_float.mod.py). Do not edit
void CreateModel(Model *model) {
OperandType type2(Type::INT32, {});
OperandType type0(Type::TENSOR_FLOAT32, {1, 2});
OperandType type1(Type::TENSOR_FLOAT32, {2, 2});
// Phase 1, operands
auto op1 = model->addOperand(&type0);
auto op2 = model->addOperand(&type1);
auto act = model->addOperand(&type2);
auto op3 = model->addOperand(&type1);
// Phase 2, operations
static int32_t act_init[] = {0};
model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
model->addOperation(ANEURALNETWORKS_SUB, {op1, op2, act}, {op3});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{op1, op2},
{op3});
assert(model->isValid());
}
bool is_ignored(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
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