1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
|
// Generated file (from: avg_pool_quant8_4.mod.py). Do not edit
void CreateModel(Model *model) {
OperandType type1(Type::INT32, {});
OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 3, 3, 1}, 0.5f, 0);
// Phase 1, operands
auto op1 = model->addOperand(&type0);
auto cons1 = model->addOperand(&type1);
auto pad0 = model->addOperand(&type1);
auto relu1_activitation = model->addOperand(&type1);
auto op3 = model->addOperand(&type0);
// Phase 2, operations
static int32_t cons1_init[] = {1};
model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1);
static int32_t pad0_init[] = {0};
model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
static int32_t relu1_activitation_init[] = {2};
model->setOperandValue(relu1_activitation, relu1_activitation_init, sizeof(int32_t) * 1);
model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, relu1_activitation}, {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();
}
|
