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// Generated file (from: mean_axis01_2_nnfw.mod.py). Do not edit
void CreateModel(Model *model) {
OperandType type2(Type::INT32, {});
OperandType type3(Type::TENSOR_FLOAT32, {1, 1, 1, 2});
OperandType type0(Type::TENSOR_FLOAT32, {1, 4, 3, 2});
OperandType type1(Type::TENSOR_INT32, {4});
// Phase 1, operands
auto input = model->addOperand(&type0);
auto axis = model->addOperand(&type1);
auto keepDims = model->addOperand(&type2);
auto output = model->addOperand(&type3);
// Phase 2, operations
static int32_t axis_init[] = {1, 2, -3, -3};
model->setOperandValue(axis, axis_init, sizeof(int32_t) * 4);
static int32_t keepDims_init[] = {1};
model->setOperandValue(keepDims, keepDims_init, sizeof(int32_t) * 1);
model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {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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