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
30
31
32
33
34
35
36
37
38
39
40
|
// Generated file (from: strided_slice_float_4.mod.py). Do not edit
void CreateModel(Model *model) {
OperandType type2(Type::INT32, {});
OperandType type3(Type::TENSOR_FLOAT32, {1});
OperandType type0(Type::TENSOR_FLOAT32, {4});
OperandType type1(Type::TENSOR_INT32, {1});
// Phase 1, operands
auto input = model->addOperand(&type0);
auto begins = model->addOperand(&type1);
auto ends = model->addOperand(&type1);
auto strides = model->addOperand(&type1);
auto beginMask = model->addOperand(&type2);
auto endMask = model->addOperand(&type2);
auto shrinkAxisMask = model->addOperand(&type2);
auto output = model->addOperand(&type3);
// Phase 2, operations
static int32_t begins_init[] = {1};
model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1);
static int32_t ends_init[] = {-2};
model->setOperandValue(ends, ends_init, sizeof(int32_t) * 1);
static int32_t strides_init[] = {1};
model->setOperandValue(strides, strides_init, sizeof(int32_t) * 1);
static int32_t beginMask_init[] = {0};
model->setOperandValue(beginMask, beginMask_init, sizeof(int32_t) * 1);
static int32_t endMask_init[] = {0};
model->setOperandValue(endMask, endMask_init, sizeof(int32_t) * 1);
static int32_t shrinkAxisMask_init[] = {0};
model->setOperandValue(shrinkAxisMask, shrinkAxisMask_init, sizeof(int32_t) * 1);
model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {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();
}
|
