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// Generated file (from: addfloat.mod.py). Do not edit
void CreateModel(Model *model) {
OperandType type1(Type::INT32, {});
OperandType type0(Type::TENSOR_FLOAT32, {2});
// Phase 1, operands
auto op1 = model->addOperand(&type0);
auto op2 = model->addOperand(&type0);
auto b0 = model->addOperand(&type1);
auto op3 = model->addOperand(&type0);
// Phase 2, operations
static int32_t b0_init[] = {0};
model->setOperandValue(b0, b0_init, sizeof(int32_t) * 1);
model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, b0}, {op3});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{op1, op2},
{op3});
assert(model->isValid());
}
bool is_ignored(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
// Generated file (from: addfloat.mod.py). Do not edit
// Begin of an example
{
//Input(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{{0, {1.0f, 2.0f}}, {1, {3.0f, 4.0f}}},
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
{}
},
//Output(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{{0, {4.0f, 6.0f}}},
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
{}
}
}, // End of an example
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