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// Generated file (from: max_pool_quant8_4.mod.py). Do not edit
void CreateModel(Model *model) {
OperandType type1(Type::INT32, {});
OperandType type2(Type::TENSOR_QUANT8_ASYMM, {1, 1, 2, 1}, 0.0625f, 0);
OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 2, 4, 1}, 0.0625f, 0);
// Phase 1, operands
auto op1 = model->addOperand(&type0);
auto cons2 = model->addOperand(&type1);
auto pad_same = model->addOperand(&type1);
auto act_none = model->addOperand(&type1);
auto op3 = model->addOperand(&type2);
// Phase 2, operations
static int32_t cons2_init[] = {2};
model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1);
static int32_t pad_same_init[] = {1};
model->setOperandValue(pad_same, pad_same_init, sizeof(int32_t) * 1);
static int32_t act_none_init[] = {0};
model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1);
model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_none}, {op3});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{op1},
{op3});
assert(model->isValid());
}
bool is_ignored(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
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