| // Generated from logical_not.mod.py |
| // DO NOT EDIT |
| // clang-format off |
| #include "GeneratedTests.h" |
| |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::logical_not { |
| |
| Model createTestModel() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_BOOL8, |
| .dimensions = {1, 1, 4, 1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_BOOL8, |
| .dimensions = {1, 1, 4, 1, 1}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::LOGICAL_NOT, |
| .inputs = {0}, |
| .outputs = {1}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {0}; |
| const std::vector<uint32_t> outputIndexes = {1}; |
| std::vector<uint8_t> operandValues = {}; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::logical_not |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::logical_not { |
| |
| Model createTestModel_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_BOOL8, |
| .dimensions = {1, 1, 4, 1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_BOOL8, |
| .dimensions = {0, 0, 0, 0, 0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::LOGICAL_NOT, |
| .inputs = {0}, |
| .outputs = {1}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {0}; |
| const std::vector<uint32_t> outputIndexes = {1}; |
| std::vector<uint8_t> operandValues = {}; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::logical_not |