1 // Generated file (from: strided_slice_float_7.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type2(Type::INT32, {});
4 OperandType type0(Type::TENSOR_FLOAT32, {3});
5 OperandType type1(Type::TENSOR_INT32, {1});
6 // Phase 1, operands
7 auto input = model->addOperand(&type0);
8 auto begins = model->addOperand(&type1);
9 auto ends = model->addOperand(&type1);
10 auto strides = model->addOperand(&type1);
11 auto beginMask = model->addOperand(&type2);
12 auto endMask = model->addOperand(&type2);
13 auto shrinkAxisMask = model->addOperand(&type2);
14 auto output = model->addOperand(&type0);
15 // Phase 2, operations
16 static int32_t begins_init[] = {-1};
17 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1);
18 static int32_t ends_init[] = {-4};
19 model->setOperandValue(ends, ends_init, sizeof(int32_t) * 1);
20 static int32_t strides_init[] = {-1};
21 model->setOperandValue(strides, strides_init, sizeof(int32_t) * 1);
22 static int32_t beginMask_init[] = {0};
23 model->setOperandValue(beginMask, beginMask_init, sizeof(int32_t) * 1);
24 static int32_t endMask_init[] = {0};
25 model->setOperandValue(endMask, endMask_init, sizeof(int32_t) * 1);
26 static int32_t shrinkAxisMask_init[] = {0};
27 model->setOperandValue(shrinkAxisMask, shrinkAxisMask_init, sizeof(int32_t) * 1);
28 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
29 // Phase 3, inputs and outputs
30 model->identifyInputsAndOutputs(
31 {input},
32 {output});
33 assert(model->isValid());
34 }
35
is_ignored(int i)36 bool is_ignored(int i) {
37 static std::set<int> ignore = {};
38 return ignore.find(i) != ignore.end();
39 }
40