1 // clang-format off
2 // Generated file (from: conv_float_large_weights_as_inputs_relaxed.mod.py). Do not edit
CreateModel(Model * model)3 void CreateModel(Model *model) {
4 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 3});
5 OperandType type1(Type::TENSOR_FLOAT32, {3, 1, 1, 3});
6 OperandType type2(Type::TENSOR_FLOAT32, {3});
7 OperandType type3(Type::INT32, {});
8 // Phase 1, operands
9 auto op1 = model->addOperand(&type0);
10 auto op2 = model->addOperand(&type1);
11 auto op3 = model->addOperand(&type2);
12 auto pad0 = model->addOperand(&type3);
13 auto stride = model->addOperand(&type3);
14 auto act = model->addOperand(&type3);
15 auto op4 = model->addOperand(&type0);
16 // Phase 2, operations
17 static int32_t pad0_init[] = {0};
18 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
19 static int32_t stride_init[] = {1};
20 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
21 static int32_t act_init[] = {0};
22 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
23 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4});
24 // Phase 3, inputs and outputs
25 model->identifyInputsAndOutputs(
26 {op1, op2, op3},
27 {op4});
28 // Phase 4: set relaxed execution
29 model->relaxComputationFloat32toFloat16(true);
30 assert(model->isValid());
31 }
32
is_ignored(int i)33 inline bool is_ignored(int i) {
34 static std::set<int> ignore = {};
35 return ignore.find(i) != ignore.end();
36 }
37
CreateModel_dynamic_output_shape(Model * model)38 void CreateModel_dynamic_output_shape(Model *model) {
39 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 3});
40 OperandType type1(Type::TENSOR_FLOAT32, {3, 1, 1, 3});
41 OperandType type2(Type::TENSOR_FLOAT32, {3});
42 OperandType type3(Type::INT32, {});
43 OperandType type4(Type::TENSOR_FLOAT32, {0, 0, 0, 0});
44 // Phase 1, operands
45 auto op1 = model->addOperand(&type0);
46 auto op2 = model->addOperand(&type1);
47 auto op3 = model->addOperand(&type2);
48 auto pad0 = model->addOperand(&type3);
49 auto stride = model->addOperand(&type3);
50 auto act = model->addOperand(&type3);
51 auto op4 = model->addOperand(&type4);
52 // Phase 2, operations
53 static int32_t pad0_init[] = {0};
54 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
55 static int32_t stride_init[] = {1};
56 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
57 static int32_t act_init[] = {0};
58 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
59 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4});
60 // Phase 3, inputs and outputs
61 model->identifyInputsAndOutputs(
62 {op1, op2, op3},
63 {op4});
64 // Phase 4: set relaxed execution
65 model->relaxComputationFloat32toFloat16(true);
66 assert(model->isValid());
67 }
68
is_ignored_dynamic_output_shape(int i)69 inline bool is_ignored_dynamic_output_shape(int i) {
70 static std::set<int> ignore = {};
71 return ignore.find(i) != ignore.end();
72 }
73
74