1 // clang-format off 2 // Generated file (from: squeeze_float16.mod.py). Do not edit 3 // Create the model 4 Model createTestModel() { 5 const std::vector<Operand> operands = { 6 { 7 .type = OperandType::TENSOR_FLOAT16, 8 .dimensions = {4, 1, 1, 2}, 9 .numberOfConsumers = 1, 10 .scale = 0.0f, 11 .zeroPoint = 0, 12 .lifetime = OperandLifeTime::MODEL_INPUT, 13 .location = {.poolIndex = 0, .offset = 0, .length = 0}, 14 }, 15 { 16 .type = OperandType::TENSOR_INT32, 17 .dimensions = {2}, 18 .numberOfConsumers = 1, 19 .scale = 0.0f, 20 .zeroPoint = 0, 21 .lifetime = OperandLifeTime::CONSTANT_COPY, 22 .location = {.poolIndex = 0, .offset = 0, .length = 8}, 23 }, 24 { 25 .type = OperandType::TENSOR_FLOAT16, 26 .dimensions = {4, 2}, 27 .numberOfConsumers = 0, 28 .scale = 0.0f, 29 .zeroPoint = 0, 30 .lifetime = OperandLifeTime::MODEL_OUTPUT, 31 .location = {.poolIndex = 0, .offset = 0, .length = 0}, 32 } 33 }; 34 35 const std::vector<Operation> operations = { 36 { 37 .type = OperationType::SQUEEZE, 38 .inputs = {0, 1}, 39 .outputs = {2}, 40 } 41 }; 42 43 const std::vector<uint32_t> inputIndexes = {0}; 44 const std::vector<uint32_t> outputIndexes = {2}; 45 std::vector<uint8_t> operandValues = { 46 1, 0, 0, 0, 2, 0, 0, 0 47 }; 48 const std::vector<hidl_memory> pools = {}; 49 50 return { 51 .operands = operands, 52 .operations = operations, 53 .inputIndexes = inputIndexes, 54 .outputIndexes = outputIndexes, 55 .operandValues = operandValues, 56 .pools = pools, 57 }; 58 } 59 60 inline bool is_ignored(int i) { 61 static std::set<int> ignore = {}; 62 return ignore.find(i) != ignore.end(); 63 } 64 65 // Create the model 66 Model createTestModel_dynamic_output_shape() { 67 const std::vector<Operand> operands = { 68 { 69 .type = OperandType::TENSOR_FLOAT16, 70 .dimensions = {4, 1, 1, 2}, 71 .numberOfConsumers = 1, 72 .scale = 0.0f, 73 .zeroPoint = 0, 74 .lifetime = OperandLifeTime::MODEL_INPUT, 75 .location = {.poolIndex = 0, .offset = 0, .length = 0}, 76 }, 77 { 78 .type = OperandType::TENSOR_INT32, 79 .dimensions = {2}, 80 .numberOfConsumers = 1, 81 .scale = 0.0f, 82 .zeroPoint = 0, 83 .lifetime = OperandLifeTime::CONSTANT_COPY, 84 .location = {.poolIndex = 0, .offset = 0, .length = 8}, 85 }, 86 { 87 .type = OperandType::TENSOR_FLOAT16, 88 .dimensions = {0, 0}, 89 .numberOfConsumers = 0, 90 .scale = 0.0f, 91 .zeroPoint = 0, 92 .lifetime = OperandLifeTime::MODEL_OUTPUT, 93 .location = {.poolIndex = 0, .offset = 0, .length = 0}, 94 } 95 }; 96 97 const std::vector<Operation> operations = { 98 { 99 .type = OperationType::SQUEEZE, 100 .inputs = {0, 1}, 101 .outputs = {2}, 102 } 103 }; 104 105 const std::vector<uint32_t> inputIndexes = {0}; 106 const std::vector<uint32_t> outputIndexes = {2}; 107 std::vector<uint8_t> operandValues = { 108 1, 0, 0, 0, 2, 0, 0, 0 109 }; 110 const std::vector<hidl_memory> pools = {}; 111 112 return { 113 .operands = operands, 114 .operations = operations, 115 .inputIndexes = inputIndexes, 116 .outputIndexes = outputIndexes, 117 .operandValues = operandValues, 118 .pools = pools, 119 }; 120 } 121 122 inline bool is_ignored_dynamic_output_shape(int i) { 123 static std::set<int> ignore = {}; 124 return ignore.find(i) != ignore.end(); 125 } 126 127