1 // clang-format off
2 // Generated file (from: strided_slice_float_8_relaxed.mod.py). Do not edit
CreateModel(Model * model)3 void CreateModel(Model *model) {
4 OperandType type0(Type::TENSOR_FLOAT32, {2, 3});
5 OperandType type1(Type::TENSOR_INT32, {2});
6 OperandType type2(Type::INT32, {});
7 OperandType type3(Type::TENSOR_FLOAT32, {1, 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, -1};
19 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2);
20 static int32_t ends_init[] = {2, -4};
21 model->setOperandValue(ends, ends_init, sizeof(int32_t) * 2);
22 static int32_t strides_init[] = {2, -1};
23 model->setOperandValue(strides, strides_init, sizeof(int32_t) * 2);
24 static int32_t beginMask_init[] = {0};
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 // Phase 4: set relaxed execution
36 model->relaxComputationFloat32toFloat16(true);
37 assert(model->isValid());
38 }
39
is_ignored(int i)40 inline bool is_ignored(int i) {
41 static std::set<int> ignore = {};
42 return ignore.find(i) != ignore.end();
43 }
44
CreateModel_dynamic_output_shape(Model * model)45 void CreateModel_dynamic_output_shape(Model *model) {
46 OperandType type0(Type::TENSOR_FLOAT32, {2, 3});
47 OperandType type1(Type::TENSOR_INT32, {2});
48 OperandType type2(Type::INT32, {});
49 OperandType type4(Type::TENSOR_FLOAT32, {0, 0});
50 // Phase 1, operands
51 auto input = model->addOperand(&type0);
52 auto begins = model->addOperand(&type1);
53 auto ends = model->addOperand(&type1);
54 auto strides = model->addOperand(&type1);
55 auto beginMask = model->addOperand(&type2);
56 auto endMask = model->addOperand(&type2);
57 auto shrinkAxisMask = model->addOperand(&type2);
58 auto output = model->addOperand(&type4);
59 // Phase 2, operations
60 static int32_t begins_init[] = {1, -1};
61 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2);
62 static int32_t ends_init[] = {2, -4};
63 model->setOperandValue(ends, ends_init, sizeof(int32_t) * 2);
64 static int32_t strides_init[] = {2, -1};
65 model->setOperandValue(strides, strides_init, sizeof(int32_t) * 2);
66 static int32_t beginMask_init[] = {0};
67 model->setOperandValue(beginMask, beginMask_init, sizeof(int32_t) * 1);
68 static int32_t endMask_init[] = {0};
69 model->setOperandValue(endMask, endMask_init, sizeof(int32_t) * 1);
70 static int32_t shrinkAxisMask_init[] = {0};
71 model->setOperandValue(shrinkAxisMask, shrinkAxisMask_init, sizeof(int32_t) * 1);
72 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
73 // Phase 3, inputs and outputs
74 model->identifyInputsAndOutputs(
75 {input},
76 {output});
77 // Phase 4: set relaxed execution
78 model->relaxComputationFloat32toFloat16(true);
79 assert(model->isValid());
80 }
81
is_ignored_dynamic_output_shape(int i)82 inline bool is_ignored_dynamic_output_shape(int i) {
83 static std::set<int> ignore = {};
84 return ignore.find(i) != ignore.end();
85 }
86
87