1 // clang-format off
2 // Generated file (from: strided_slice_float_5.mod.py). Do not edit
CreateModel(Model * model)3 void CreateModel(Model *model) {
4 OperandType type0(Type::TENSOR_FLOAT32, {4});
5 OperandType type1(Type::TENSOR_INT32, {1});
6 OperandType type2(Type::INT32, {});
7 OperandType type3(Type::TENSOR_FLOAT32, {3});
8 // Phase 1, operands
9 auto input = model->addOperand(&type0);
10 auto begins = model->addOperand(&type1);
11 auto ends = model->addOperand(&type1);
12 auto strides = model->addOperand(&type1);
13 auto beginMask = model->addOperand(&type2);
14 auto endMask = model->addOperand(&type2);
15 auto shrinkAxisMask = model->addOperand(&type2);
16 auto output = model->addOperand(&type3);
17 // Phase 2, operations
18 static int32_t begins_init[] = {1};
19 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1);
20 static int32_t ends_init[] = {3};
21 model->setOperandValue(ends, ends_init, sizeof(int32_t) * 1);
22 static int32_t strides_init[] = {1};
23 model->setOperandValue(strides, strides_init, sizeof(int32_t) * 1);
24 static int32_t beginMask_init[] = {1};
25 model->setOperandValue(beginMask, beginMask_init, sizeof(int32_t) * 1);
26 static int32_t endMask_init[] = {0};
27 model->setOperandValue(endMask, endMask_init, sizeof(int32_t) * 1);
28 static int32_t shrinkAxisMask_init[] = {0};
29 model->setOperandValue(shrinkAxisMask, shrinkAxisMask_init, sizeof(int32_t) * 1);
30 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
31 // Phase 3, inputs and outputs
32 model->identifyInputsAndOutputs(
33 {input},
34 {output});
35 assert(model->isValid());
36 }
37
is_ignored(int i)38 inline bool is_ignored(int i) {
39 static std::set<int> ignore = {};
40 return ignore.find(i) != ignore.end();
41 }
42
CreateModel_dynamic_output_shape(Model * model)43 void CreateModel_dynamic_output_shape(Model *model) {
44 OperandType type0(Type::TENSOR_FLOAT32, {4});
45 OperandType type1(Type::TENSOR_INT32, {1});
46 OperandType type2(Type::INT32, {});
47 OperandType type4(Type::TENSOR_FLOAT32, {0});
48 // Phase 1, operands
49 auto input = model->addOperand(&type0);
50 auto begins = model->addOperand(&type1);
51 auto ends = model->addOperand(&type1);
52 auto strides = model->addOperand(&type1);
53 auto beginMask = model->addOperand(&type2);
54 auto endMask = model->addOperand(&type2);
55 auto shrinkAxisMask = model->addOperand(&type2);
56 auto output = model->addOperand(&type4);
57 // Phase 2, operations
58 static int32_t begins_init[] = {1};
59 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1);
60 static int32_t ends_init[] = {3};
61 model->setOperandValue(ends, ends_init, sizeof(int32_t) * 1);
62 static int32_t strides_init[] = {1};
63 model->setOperandValue(strides, strides_init, sizeof(int32_t) * 1);
64 static int32_t beginMask_init[] = {1};
65 model->setOperandValue(beginMask, beginMask_init, sizeof(int32_t) * 1);
66 static int32_t endMask_init[] = {0};
67 model->setOperandValue(endMask, endMask_init, sizeof(int32_t) * 1);
68 static int32_t shrinkAxisMask_init[] = {0};
69 model->setOperandValue(shrinkAxisMask, shrinkAxisMask_init, sizeof(int32_t) * 1);
70 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
71 // Phase 3, inputs and outputs
72 model->identifyInputsAndOutputs(
73 {input},
74 {output});
75 assert(model->isValid());
76 }
77
is_ignored_dynamic_output_shape(int i)78 inline bool is_ignored_dynamic_output_shape(int i) {
79 static std::set<int> ignore = {};
80 return ignore.find(i) != ignore.end();
81 }
82
83