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// Generated file (from: space_to_batch_quant8_2.mod.py). Do not edit
void CreateModel(Model *model) {
OperandType type2(Type::TENSOR_INT32, {2, 2});
OperandType type1(Type::TENSOR_INT32, {2});
OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 5, 2, 1}, 1.0, 0);
OperandType type3(Type::TENSOR_QUANT8_ASYMM, {6, 2, 2, 1}, 1.0, 0);
// Phase 1, operands
auto input = model->addOperand(&type0);
auto block_size = model->addOperand(&type1);
auto paddings = model->addOperand(&type2);
auto output = model->addOperand(&type3);
// Phase 2, operations
static int32_t block_size_init[] = {3, 2};
model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2);
static int32_t paddings_init[] = {1, 0, 2, 0};
model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {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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