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// Generated file (from: depth_to_space_quant8_1.mod.py). Do not edit
void CreateModel(Model *model) {
OperandType type1(Type::INT32, {});
OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 8}, 0.5f, 0);
OperandType type2(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.5f, 0);
// Phase 1, operands
auto input = model->addOperand(&type0);
auto radius = model->addOperand(&type1);
auto output = model->addOperand(&type2);
// Phase 2, operations
static int32_t radius_init[] = {2};
model->setOperandValue(radius, radius_init, sizeof(int32_t) * 1);
model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, radius}, {output});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{input},
{output});
assert(model->isValid());
}
bool is_ignored(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
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