1 // clang-format off
2 // Generated file (from: conv_quant8_weights_as_inputs.mod.py). Do not edit
CreateModel(Model * model)3 void CreateModel(Model *model) {
4 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 3, 3, 1}, 0.5f, 0);
5 OperandType type1(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 0.5f, 0);
6 OperandType type2(Type::TENSOR_INT32, {1}, 0.25f, 0);
7 OperandType type3(Type::INT32, {});
8 OperandType type4(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 1.0f, 0);
9 // Phase 1, operands
10 auto op1 = model->addOperand(&type0);
11 auto op2 = model->addOperand(&type1);
12 auto op3 = model->addOperand(&type2);
13 auto pad0 = model->addOperand(&type3);
14 auto stride = model->addOperand(&type3);
15 auto act = model->addOperand(&type3);
16 auto op4 = model->addOperand(&type4);
17 // Phase 2, operations
18 static int32_t pad0_init[] = {0};
19 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
20 static int32_t stride_init[] = {1};
21 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
22 static int32_t act_init[] = {0};
23 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
24 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4});
25 // Phase 3, inputs and outputs
26 model->identifyInputsAndOutputs(
27 {op1, op2, op3},
28 {op4});
29 assert(model->isValid());
30 }
31
is_ignored(int i)32 inline bool is_ignored(int i) {
33 static std::set<int> ignore = {};
34 return ignore.find(i) != ignore.end();
35 }
36
CreateModel_dynamic_output_shape(Model * model)37 void CreateModel_dynamic_output_shape(Model *model) {
38 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 3, 3, 1}, 0.5f, 0);
39 OperandType type1(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 0.5f, 0);
40 OperandType type2(Type::TENSOR_INT32, {1}, 0.25f, 0);
41 OperandType type3(Type::INT32, {});
42 OperandType type5(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 1.0f, 0);
43 // Phase 1, operands
44 auto op1 = model->addOperand(&type0);
45 auto op2 = model->addOperand(&type1);
46 auto op3 = model->addOperand(&type2);
47 auto pad0 = model->addOperand(&type3);
48 auto stride = model->addOperand(&type3);
49 auto act = model->addOperand(&type3);
50 auto op4 = model->addOperand(&type5);
51 // Phase 2, operations
52 static int32_t pad0_init[] = {0};
53 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
54 static int32_t stride_init[] = {1};
55 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
56 static int32_t act_init[] = {0};
57 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
58 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4});
59 // Phase 3, inputs and outputs
60 model->identifyInputsAndOutputs(
61 {op1, op2, op3},
62 {op4});
63 assert(model->isValid());
64 }
65
is_ignored_dynamic_output_shape(int i)66 inline bool is_ignored_dynamic_output_shape(int i) {
67 static std::set<int> ignore = {};
68 return ignore.find(i) != ignore.end();
69 }
70
71