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// Generated file (from: concat_quant8_3.mod.py). Do not edit
void CreateModel(Model *model) {
OperandType type2(Type::INT32, {});
OperandType type1(Type::TENSOR_QUANT8_ASYMM, {400, 30}, 0.5f, 0);
OperandType type0(Type::TENSOR_QUANT8_ASYMM, {400, 60}, 0.5f, 0);
OperandType type3(Type::TENSOR_QUANT8_ASYMM, {400, 90}, 0.5f, 0);
// Phase 1, operands
auto input1 = model->addOperand(&type0);
auto input2 = model->addOperand(&type1);
auto axis1 = model->addOperand(&type2);
auto output = model->addOperand(&type3);
// Phase 2, operations
static int32_t axis1_init[] = {1};
model->setOperandValue(axis1, axis1_init, sizeof(int32_t) * 1);
model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis1}, {output});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{input1, input2},
{output});
assert(model->isValid());
}
bool is_ignored(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
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