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// Generated file (from: pad_float_1.mod.py). Do not edit
void CreateModel(Model *model) {
OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 1});
OperandType type2(Type::TENSOR_FLOAT32, {1, 4, 7, 1});
OperandType type1(Type::TENSOR_INT32, {4, 2});
// Phase 1, operands
auto op1 = model->addOperand(&type0);
auto op2 = model->addOperand(&type1);
auto op3 = model->addOperand(&type2);
// Phase 2, operations
static int32_t op2_init[] = {0, 0, 0, 2, 1, 3, 0, 0};
model->setOperandValue(op2, op2_init, sizeof(int32_t) * 8);
model->addOperation(ANEURALNETWORKS_PAD, {op1, op2}, {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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