1 // clang-format off 2 // Generated file (from: conv_quant8.mod.py). Do not edit 3 // Create the model 4 Model createTestModel() { 5 const std::vector<Operand> operands = { 6 { 7 .type = OperandType::TENSOR_QUANT8_ASYMM, 8 .dimensions = {1, 3, 3, 1}, 9 .numberOfConsumers = 1, 10 .scale = 0.5f, 11 .zeroPoint = 0, 12 .lifetime = OperandLifeTime::MODEL_INPUT, 13 .location = {.poolIndex = 0, .offset = 0, .length = 0}, 14 }, 15 { 16 .type = OperandType::TENSOR_QUANT8_ASYMM, 17 .dimensions = {1, 2, 2, 1}, 18 .numberOfConsumers = 1, 19 .scale = 0.5f, 20 .zeroPoint = 0, 21 .lifetime = OperandLifeTime::CONSTANT_COPY, 22 .location = {.poolIndex = 0, .offset = 0, .length = 4}, 23 }, 24 { 25 .type = OperandType::TENSOR_INT32, 26 .dimensions = {1}, 27 .numberOfConsumers = 1, 28 .scale = 0.25f, 29 .zeroPoint = 0, 30 .lifetime = OperandLifeTime::CONSTANT_COPY, 31 .location = {.poolIndex = 0, .offset = 4, .length = 4}, 32 }, 33 { 34 .type = OperandType::INT32, 35 .dimensions = {}, 36 .numberOfConsumers = 4, 37 .scale = 0.0f, 38 .zeroPoint = 0, 39 .lifetime = OperandLifeTime::CONSTANT_COPY, 40 .location = {.poolIndex = 0, .offset = 8, .length = 4}, 41 }, 42 { 43 .type = OperandType::INT32, 44 .dimensions = {}, 45 .numberOfConsumers = 2, 46 .scale = 0.0f, 47 .zeroPoint = 0, 48 .lifetime = OperandLifeTime::CONSTANT_COPY, 49 .location = {.poolIndex = 0, .offset = 12, .length = 4}, 50 }, 51 { 52 .type = OperandType::INT32, 53 .dimensions = {}, 54 .numberOfConsumers = 1, 55 .scale = 0.0f, 56 .zeroPoint = 0, 57 .lifetime = OperandLifeTime::CONSTANT_COPY, 58 .location = {.poolIndex = 0, .offset = 16, .length = 4}, 59 }, 60 { 61 .type = OperandType::TENSOR_QUANT8_ASYMM, 62 .dimensions = {1, 2, 2, 1}, 63 .numberOfConsumers = 0, 64 .scale = 1.0f, 65 .zeroPoint = 0, 66 .lifetime = OperandLifeTime::MODEL_OUTPUT, 67 .location = {.poolIndex = 0, .offset = 0, .length = 0}, 68 } 69 }; 70 71 const std::vector<Operation> operations = { 72 { 73 .type = OperationType::CONV_2D, 74 .inputs = {0, 1, 2, 3, 3, 3, 3, 4, 4, 5}, 75 .outputs = {6}, 76 } 77 }; 78 79 const std::vector<uint32_t> inputIndexes = {0}; 80 const std::vector<uint32_t> outputIndexes = {6}; 81 std::vector<uint8_t> operandValues = { 82 2, 2, 2, 2, 4, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0 83 }; 84 const std::vector<hidl_memory> pools = {}; 85 86 return { 87 .operands = operands, 88 .operations = operations, 89 .inputIndexes = inputIndexes, 90 .outputIndexes = outputIndexes, 91 .operandValues = operandValues, 92 .pools = pools, 93 }; 94 } 95 96 inline bool is_ignored(int i) { 97 static std::set<int> ignore = {}; 98 return ignore.find(i) != ignore.end(); 99 } 100 101 // Create the model 102 Model createTestModel_dynamic_output_shape() { 103 const std::vector<Operand> operands = { 104 { 105 .type = OperandType::TENSOR_QUANT8_ASYMM, 106 .dimensions = {1, 3, 3, 1}, 107 .numberOfConsumers = 1, 108 .scale = 0.5f, 109 .zeroPoint = 0, 110 .lifetime = OperandLifeTime::MODEL_INPUT, 111 .location = {.poolIndex = 0, .offset = 0, .length = 0}, 112 }, 113 { 114 .type = OperandType::TENSOR_QUANT8_ASYMM, 115 .dimensions = {1, 2, 2, 1}, 116 .numberOfConsumers = 1, 117 .scale = 0.5f, 118 .zeroPoint = 0, 119 .lifetime = OperandLifeTime::CONSTANT_COPY, 120 .location = {.poolIndex = 0, .offset = 0, .length = 4}, 121 }, 122 { 123 .type = OperandType::TENSOR_INT32, 124 .dimensions = {1}, 125 .numberOfConsumers = 1, 126 .scale = 0.25f, 127 .zeroPoint = 0, 128 .lifetime = OperandLifeTime::CONSTANT_COPY, 129 .location = {.poolIndex = 0, .offset = 4, .length = 4}, 130 }, 131 { 132 .type = OperandType::INT32, 133 .dimensions = {}, 134 .numberOfConsumers = 4, 135 .scale = 0.0f, 136 .zeroPoint = 0, 137 .lifetime = OperandLifeTime::CONSTANT_COPY, 138 .location = {.poolIndex = 0, .offset = 8, .length = 4}, 139 }, 140 { 141 .type = OperandType::INT32, 142 .dimensions = {}, 143 .numberOfConsumers = 2, 144 .scale = 0.0f, 145 .zeroPoint = 0, 146 .lifetime = OperandLifeTime::CONSTANT_COPY, 147 .location = {.poolIndex = 0, .offset = 12, .length = 4}, 148 }, 149 { 150 .type = OperandType::INT32, 151 .dimensions = {}, 152 .numberOfConsumers = 1, 153 .scale = 0.0f, 154 .zeroPoint = 0, 155 .lifetime = OperandLifeTime::CONSTANT_COPY, 156 .location = {.poolIndex = 0, .offset = 16, .length = 4}, 157 }, 158 { 159 .type = OperandType::TENSOR_QUANT8_ASYMM, 160 .dimensions = {0, 0, 0, 0}, 161 .numberOfConsumers = 0, 162 .scale = 1.0f, 163 .zeroPoint = 0, 164 .lifetime = OperandLifeTime::MODEL_OUTPUT, 165 .location = {.poolIndex = 0, .offset = 0, .length = 0}, 166 } 167 }; 168 169 const std::vector<Operation> operations = { 170 { 171 .type = OperationType::CONV_2D, 172 .inputs = {0, 1, 2, 3, 3, 3, 3, 4, 4, 5}, 173 .outputs = {6}, 174 } 175 }; 176 177 const std::vector<uint32_t> inputIndexes = {0}; 178 const std::vector<uint32_t> outputIndexes = {6}; 179 std::vector<uint8_t> operandValues = { 180 2, 2, 2, 2, 4, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0 181 }; 182 const std::vector<hidl_memory> pools = {}; 183 184 return { 185 .operands = operands, 186 .operations = operations, 187 .inputIndexes = inputIndexes, 188 .outputIndexes = outputIndexes, 189 .operandValues = operandValues, 190 .pools = pools, 191 }; 192 } 193 194 inline bool is_ignored_dynamic_output_shape(int i) { 195 static std::set<int> ignore = {}; 196 return ignore.find(i) != ignore.end(); 197 } 198 199
