1 // clang-format off
2 // Generated file (from: depthwise_conv2d_float.mod.py). Do not edit
CreateModel(Model * model)3 void CreateModel(Model *model) {
4 OperandType type0(Type::TENSOR_FLOAT32, {1, 3, 3, 2});
5 OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 4});
6 OperandType type2(Type::TENSOR_FLOAT32, {4});
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 channelMultiplier = model->addOperand(&type3);
15 auto act = model->addOperand(&type3);
16 auto op4 = model->addOperand(&type1);
17 // Phase 2, operations
18 static float op2_init[] = {0.25f, 0.0f, 0.2f, 0.0f, 0.25f, 0.0f, 0.0f, 0.3f, 0.25f, 0.0f, 0.0f, 0.0f, 0.25f, 0.1f, 0.0f, 0.0f};
19 model->setOperandValue(op2, op2_init, sizeof(float) * 16);
20 static float op3_init[] = {1.0f, 2.0f, 3.0f, 4.0f};
21 model->setOperandValue(op3, op3_init, sizeof(float) * 4);
22 static int32_t pad0_init[] = {0};
23 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
24 static int32_t stride_init[] = {1};
25 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
26 static int32_t channelMultiplier_init[] = {2};
27 model->setOperandValue(channelMultiplier, channelMultiplier_init, sizeof(int32_t) * 1);
28 static int32_t act_init[] = {0};
29 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
30 model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, channelMultiplier, act}, {op4});
31 // Phase 3, inputs and outputs
32 model->identifyInputsAndOutputs(
33 {op1},
34 {op4});
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, {1, 3, 3, 2});
45 OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 4});
46 OperandType type2(Type::TENSOR_FLOAT32, {4});
47 OperandType type3(Type::INT32, {});
48 OperandType type4(Type::TENSOR_FLOAT32, {0, 0, 0, 0});
49 // Phase 1, operands
50 auto op1 = model->addOperand(&type0);
51 auto op2 = model->addOperand(&type1);
52 auto op3 = model->addOperand(&type2);
53 auto pad0 = model->addOperand(&type3);
54 auto stride = model->addOperand(&type3);
55 auto channelMultiplier = model->addOperand(&type3);
56 auto act = model->addOperand(&type3);
57 auto op4 = model->addOperand(&type4);
58 // Phase 2, operations
59 static float op2_init[] = {0.25f, 0.0f, 0.2f, 0.0f, 0.25f, 0.0f, 0.0f, 0.3f, 0.25f, 0.0f, 0.0f, 0.0f, 0.25f, 0.1f, 0.0f, 0.0f};
60 model->setOperandValue(op2, op2_init, sizeof(float) * 16);
61 static float op3_init[] = {1.0f, 2.0f, 3.0f, 4.0f};
62 model->setOperandValue(op3, op3_init, sizeof(float) * 4);
63 static int32_t pad0_init[] = {0};
64 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
65 static int32_t stride_init[] = {1};
66 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
67 static int32_t channelMultiplier_init[] = {2};
68 model->setOperandValue(channelMultiplier, channelMultiplier_init, sizeof(int32_t) * 1);
69 static int32_t act_init[] = {0};
70 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
71 model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, channelMultiplier, act}, {op4});
72 // Phase 3, inputs and outputs
73 model->identifyInputsAndOutputs(
74 {op1},
75 {op4});
76 assert(model->isValid());
77 }
78
is_ignored_dynamic_output_shape(int i)79 inline bool is_ignored_dynamic_output_shape(int i) {
80 static std::set<int> ignore = {};
81 return ignore.find(i) != ignore.end();
82 }
83
84