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// Generated file (from: concat_float_1.mod.py). Do not edit
void CreateModel(Model *model) {
OperandType type1(Type::INT32, {});
OperandType type0(Type::TENSOR_FLOAT32, {2, 3});
OperandType type2(Type::TENSOR_FLOAT32, {4, 3});
// Phase 1, operands
auto op1 = model->addOperand(&type0);
auto op2 = model->addOperand(&type0);
auto axis0 = model->addOperand(&type1);
auto result = model->addOperand(&type2);
// Phase 2, operations
static int32_t axis0_init[] = {0};
model->setOperandValue(axis0, axis0_init, sizeof(int32_t) * 1);
model->addOperation(ANEURALNETWORKS_CONCATENATION, {op1, op2, axis0}, {result});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{op1, op2},
{result});
assert(model->isValid());
}
bool is_ignored(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
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