1 // clang-format off
2 // Generated file (from: conv_float_large_weights_as_inputs.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 assert(model->isValid());
29 }
30
is_ignored(int i)31 inline bool is_ignored(int i) {
32 static std::set<int> ignore = {};
33 return ignore.find(i) != ignore.end();
34 }
35
CreateModel_dynamic_output_shape(Model * model)36 void CreateModel_dynamic_output_shape(Model *model) {
37 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 3});
38 OperandType type1(Type::TENSOR_FLOAT32, {3, 1, 1, 3});
39 OperandType type2(Type::TENSOR_FLOAT32, {3});
40 OperandType type3(Type::INT32, {});
41 OperandType type4(Type::TENSOR_FLOAT32, {0, 0, 0, 0});
42 // Phase 1, operands
43 auto op1 = model->addOperand(&type0);
44 auto op2 = model->addOperand(&type1);
45 auto op3 = model->addOperand(&type2);
46 auto pad0 = model->addOperand(&type3);
47 auto stride = model->addOperand(&type3);
48 auto act = model->addOperand(&type3);
49 auto op4 = model->addOperand(&type4);
50 // Phase 2, operations
51 static int32_t pad0_init[] = {0};
52 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
53 static int32_t stride_init[] = {1};
54 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
55 static int32_t act_init[] = {0};
56 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
57 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4});
58 // Phase 3, inputs and outputs
59 model->identifyInputsAndOutputs(
60 {op1, op2, op3},
61 {op4});
62 assert(model->isValid());
63 }
64
is_ignored_dynamic_output_shape(int i)65 inline bool is_ignored_dynamic_output_shape(int i) {
66 static std::set<int> ignore = {};
67 return ignore.find(i) != ignore.end();
68 }
69
70