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// Generated file (from: resize_bilinear.mod.py). Do not edit
void CreateModel(Model *model) {
OperandType type2(Type::INT32, {});
OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1});
OperandType type1(Type::TENSOR_FLOAT32, {1, 3, 3, 1});
// Phase 1, operands
auto op1 = model->addOperand(&type0);
auto op2 = model->addOperand(&type1);
auto height = model->addOperand(&type2);
auto width = model->addOperand(&type2);
// Phase 2, operations
static int32_t height_init[] = {3};
model->setOperandValue(height, height_init, sizeof(int32_t) * 1);
static int32_t width_init[] = {3};
model->setOperandValue(width, width_init, sizeof(int32_t) * 1);
model->addOperation(ANEURALNETWORKS_RESIZE_BILINEAR, {op1, height, width}, {op2});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{op1},
{op2});
assert(model->isValid());
}
bool is_ignored(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
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