| // Generated from fully_connected_v1_2.mod.py |
| // DO NOT EDIT |
| // clang-format off |
| #include "GeneratedTests.h" |
| |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 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::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {0}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 64, 0, 0, 128, 64, 0, 0, 0, 0 |
| }; |
| 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::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {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::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {0}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 64, 0, 0, 128, 64, 0, 0, 0, 0 |
| }; |
| 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::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_all_inputs_as_internal() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 12, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 16, .length = 4}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::ADD, |
| .inputs = {5, 6, 7}, |
| .outputs = {0}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {5}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 64, 0, 0, 128, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_all_inputs_as_internal(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_all_inputs_as_internal_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 12, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 16, .length = 4}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::ADD, |
| .inputs = {5, 6, 7}, |
| .outputs = {0}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {5}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 64, 0, 0, 128, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_all_inputs_as_internal_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_all_tensors_as_inputs() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 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::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {0, 1, 2}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_all_tensors_as_inputs(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_all_tensors_as_inputs_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {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::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {0, 1, 2}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_all_tensors_as_inputs_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_all_tensors_as_inputs_all_inputs_as_internal() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 12, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 16, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 20, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 24, .length = 4}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::ADD, |
| .inputs = {5, 6, 7}, |
| .outputs = {0}, |
| }, |
| { |
| .type = OperationType::ADD, |
| .inputs = {8, 9, 10}, |
| .outputs = {1}, |
| }, |
| { |
| .type = OperationType::ADD, |
| .inputs = {11, 12, 13}, |
| .outputs = {2}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {5, 8, 11}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_all_tensors_as_inputs_all_inputs_as_internal(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_all_tensors_as_inputs_all_inputs_as_internal_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 12, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 16, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 20, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 24, .length = 4}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::ADD, |
| .inputs = {5, 6, 7}, |
| .outputs = {0}, |
| }, |
| { |
| .type = OperationType::ADD, |
| .inputs = {8, 9, 10}, |
| .outputs = {1}, |
| }, |
| { |
| .type = OperationType::ADD, |
| .inputs = {11, 12, 13}, |
| .outputs = {2}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {5, 8, 11}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_all_tensors_as_inputs_all_inputs_as_internal_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_relaxed() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 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::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {0}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 64, 0, 0, 128, 64, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| .relaxComputationFloat32toFloat16 = true, |
| }; |
| } |
| |
| bool is_ignored_relaxed(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_relaxed_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {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::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {0}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 64, 0, 0, 128, 64, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| .relaxComputationFloat32toFloat16 = true, |
| }; |
| } |
| |
| bool is_ignored_relaxed_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_relaxed_all_inputs_as_internal() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 12, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 16, .length = 4}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::ADD, |
| .inputs = {5, 6, 7}, |
| .outputs = {0}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {5}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 64, 0, 0, 128, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| .relaxComputationFloat32toFloat16 = true, |
| }; |
| } |
| |
| bool is_ignored_relaxed_all_inputs_as_internal(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_relaxed_all_inputs_as_internal_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 12, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 16, .length = 4}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::ADD, |
| .inputs = {5, 6, 7}, |
| .outputs = {0}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {5}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 64, 0, 0, 128, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| .relaxComputationFloat32toFloat16 = true, |
| }; |
| } |
| |
| bool is_ignored_relaxed_all_inputs_as_internal_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_relaxed_all_tensors_as_inputs() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 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::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {0, 1, 2}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| .relaxComputationFloat32toFloat16 = true, |
| }; |
| } |
| |
| bool is_ignored_relaxed_all_tensors_as_inputs(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_relaxed_all_tensors_as_inputs_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {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::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {0, 1, 2}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| .relaxComputationFloat32toFloat16 = true, |
| }; |
| } |
| |
| bool is_ignored_relaxed_all_tensors_as_inputs_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_relaxed_all_tensors_as_inputs_all_inputs_as_internal() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 12, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 16, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 20, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 24, .length = 4}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::ADD, |
| .inputs = {5, 6, 7}, |
| .outputs = {0}, |
| }, |
| { |
| .type = OperationType::ADD, |
| .inputs = {8, 9, 10}, |
| .outputs = {1}, |
| }, |
| { |
| .type = OperationType::ADD, |
| .inputs = {11, 12, 13}, |
| .outputs = {2}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {5, 8, 11}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| .relaxComputationFloat32toFloat16 = true, |
| }; |
| } |
| |
| bool is_ignored_relaxed_all_tensors_as_inputs_all_inputs_as_internal(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_relaxed_all_tensors_as_inputs_all_inputs_as_internal_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 12, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 16, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 20, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 24, .length = 4}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::ADD, |
| .inputs = {5, 6, 7}, |
| .outputs = {0}, |
| }, |
| { |
| .type = OperationType::ADD, |
| .inputs = {8, 9, 10}, |
| .outputs = {1}, |
| }, |
| { |
| .type = OperationType::ADD, |
| .inputs = {11, 12, 13}, |
| .outputs = {2}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {5, 8, 11}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| .relaxComputationFloat32toFloat16 = true, |
| }; |
| } |
| |
| bool is_ignored_relaxed_all_tensors_as_inputs_all_inputs_as_internal_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_float16() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 2}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 2, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {3, 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::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {0}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 64, 0, 68, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_float16(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_float16_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 2}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 2, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {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::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {0}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 64, 0, 68, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_float16_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_float16_all_inputs_as_internal() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 2}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 2, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 10, .length = 4}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::ADD, |
| .inputs = {5, 6, 7}, |
| .outputs = {0}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {5}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 64, 0, 68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_float16_all_inputs_as_internal(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_float16_all_inputs_as_internal_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 2}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 2, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {0, 0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 10, .length = 4}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::ADD, |
| .inputs = {5, 6, 7}, |
| .outputs = {0}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {5}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 64, 0, 68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_float16_all_inputs_as_internal_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_float16_all_tensors_as_inputs() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {3, 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::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {0, 1, 2}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_float16_all_tensors_as_inputs(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_float16_all_tensors_as_inputs_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {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::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {0, 1, 2}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_float16_all_tensors_as_inputs_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_float16_all_tensors_as_inputs_all_inputs_as_internal() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 6, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 10, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 12, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 16, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 18, .length = 4}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::ADD, |
| .inputs = {5, 6, 7}, |
| .outputs = {0}, |
| }, |
| { |
| .type = OperationType::ADD, |
| .inputs = {8, 9, 10}, |
| .outputs = {1}, |
| }, |
| { |
| .type = OperationType::ADD, |
| .inputs = {11, 12, 13}, |
| .outputs = {2}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {5, 8, 11}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_float16_all_tensors_as_inputs_all_inputs_as_internal(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_float16_all_tensors_as_inputs_all_inputs_as_internal_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {0, 0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 6, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 10, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 12, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 16, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 18, .length = 4}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::ADD, |
| .inputs = {5, 6, 7}, |
| .outputs = {0}, |
| }, |
| { |
| .type = OperationType::ADD, |
| .inputs = {8, 9, 10}, |
| .outputs = {1}, |
| }, |
| { |
| .type = OperationType::ADD, |
| .inputs = {11, 12, 13}, |
| .outputs = {2}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {5, 8, 11}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_float16_all_tensors_as_inputs_all_inputs_as_internal_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_quant8_mult_gt_1() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 127, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 120, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.25f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 1, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 5, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 0, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {0}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 124, 16, 0, 0, 0, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_quant8_mult_gt_1(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_quant8_mult_gt_1_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 127, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 120, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.25f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 1, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 5, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {0, 0}, |
| .numberOfConsumers = 0, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {0}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 124, 16, 0, 0, 0, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_quant8_mult_gt_1_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_quant8_mult_gt_1_all_inputs_as_internal() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 127, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 120, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.25f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 1, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 5, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 0, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 127, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 127, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 9, .length = 1}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 10, .length = 4}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::ADD, |
| .inputs = {5, 6, 7}, |
| .outputs = {0}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {5}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 124, 16, 0, 0, 0, 0, 0, 0, 0, 127, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_quant8_mult_gt_1_all_inputs_as_internal(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_quant8_mult_gt_1_all_inputs_as_internal_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 127, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 120, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.25f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 1, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 5, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {0, 0}, |
| .numberOfConsumers = 0, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 127, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 127, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 9, .length = 1}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 10, .length = 4}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::ADD, |
| .inputs = {5, 6, 7}, |
| .outputs = {0}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {5}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 124, 16, 0, 0, 0, 0, 0, 0, 0, 127, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_quant8_mult_gt_1_all_inputs_as_internal_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_quant8_mult_gt_1_all_tensors_as_inputs() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 127, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 120, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.25f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 0, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {0, 1, 2}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_quant8_mult_gt_1_all_tensors_as_inputs(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_quant8_mult_gt_1_all_tensors_as_inputs_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 127, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 120, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.25f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {0, 0}, |
| .numberOfConsumers = 0, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {0, 1, 2}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_quant8_mult_gt_1_all_tensors_as_inputs_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_quant8_mult_gt_1_all_tensors_as_inputs_all_inputs_as_internal() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 127, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 120, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.25f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 0, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 127, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 127, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 1}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 5, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 120, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 120, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 9, .length = 1}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 10, .length = 4}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::ADD, |
| .inputs = {5, 6, 7}, |
| .outputs = {0}, |
| }, |
| { |
| .type = OperationType::ADD, |
| .inputs = {8, 9, 10}, |
| .outputs = {1}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {2, 5, 8}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 0, 127, 0, 0, 0, 0, 120, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_quant8_mult_gt_1_all_tensors_as_inputs_all_inputs_as_internal(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_quant8_mult_gt_1_all_tensors_as_inputs_all_inputs_as_internal_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 127, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 120, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.25f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {0, 0}, |
| .numberOfConsumers = 0, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {3, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 127, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 127, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 1}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 5, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 120, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.5f, |
| .zeroPoint = 120, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 9, .length = 1}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 10, .length = 4}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::ADD, |
| .inputs = {5, 6, 7}, |
| .outputs = {0}, |
| }, |
| { |
| .type = OperationType::ADD, |
| .inputs = {8, 9, 10}, |
| .outputs = {1}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {0, 1, 2, 3}, |
| .outputs = {4}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {2, 5, 8}; |
| const std::vector<uint32_t> outputIndexes = {4}; |
| std::vector<uint8_t> operandValues = { |
| 0, 0, 0, 0, 127, 0, 0, 0, 0, 120, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_quant8_mult_gt_1_all_tensors_as_inputs_all_inputs_as_internal_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_zero_sized_nhwc() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 8}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 8}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 32}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 40, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 44, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 48, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 52, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 56, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 60, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 64, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 4}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1, 1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 68, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 72, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 76, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 80, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 84, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 88, .length = 4}, |
| }, |
| { |
| .type = OperandType::BOOL, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 92, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 2, 2, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 93, .length = 12}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 105, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 109, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 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::BOX_WITH_NMS_LIMIT, |
| .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8}, |
| .outputs = {9, 10, 11, 12}, |
| }, |
| { |
| .type = OperationType::ROI_ALIGN, |
| .inputs = {13, 10, 12, 14, 15, 16, 17, 18, 19, 20}, |
| .outputs = {21}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {21, 22, 23, 24}, |
| .outputs = {25}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {13}; |
| const std::vector<uint32_t> outputIndexes = {9, 11, 25}; |
| std::vector<uint8_t> operandValues = { |
| 102, 102, 102, 63, 205, 204, 204, 61, 0, 0, 128, 63, 0, 0, 128, 63, 0, 0, 32, 65, 0, 0, 32, 65, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 65, 0, 0, 32, 65, 0, 0, 0, 0, 154, 153, 153, 62, 255, 255, 255, 255, 0, 0, 0, 0, 205, 204, 204, 62, 0, 0, 128, 63, 154, 153, 153, 62, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 64, 4, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 128, 63, 0, 0, 0, 64, 0, 0, 64, 64, 0, 0, 128, 63, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_zero_sized_nhwc(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_zero_sized_nhwc_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 8}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 8}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 32}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 40, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 44, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 48, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 52, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 56, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 60, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 64, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 4}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1, 1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 68, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 72, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 76, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 80, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 84, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 88, .length = 4}, |
| }, |
| { |
| .type = OperandType::BOOL, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 92, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 2, 2, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 93, .length = 12}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 105, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 109, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {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::BOX_WITH_NMS_LIMIT, |
| .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8}, |
| .outputs = {9, 10, 11, 12}, |
| }, |
| { |
| .type = OperationType::ROI_ALIGN, |
| .inputs = {13, 10, 12, 14, 15, 16, 17, 18, 19, 20}, |
| .outputs = {21}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {21, 22, 23, 24}, |
| .outputs = {25}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {13}; |
| const std::vector<uint32_t> outputIndexes = {9, 11, 25}; |
| std::vector<uint8_t> operandValues = { |
| 102, 102, 102, 63, 205, 204, 204, 61, 0, 0, 128, 63, 0, 0, 128, 63, 0, 0, 32, 65, 0, 0, 32, 65, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 65, 0, 0, 32, 65, 0, 0, 0, 0, 154, 153, 153, 62, 255, 255, 255, 255, 0, 0, 0, 0, 205, 204, 204, 62, 0, 0, 128, 63, 154, 153, 153, 62, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 64, 4, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 128, 63, 0, 0, 0, 64, 0, 0, 64, 64, 0, 0, 128, 63, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_zero_sized_nhwc_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_zero_sized_nhwc_relaxed() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 8}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 8}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 32}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 40, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 44, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 48, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 52, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 56, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 60, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 64, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 4}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1, 1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 68, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 72, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 76, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 80, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 84, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 88, .length = 4}, |
| }, |
| { |
| .type = OperandType::BOOL, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 92, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 2, 2, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 93, .length = 12}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 105, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 109, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 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::BOX_WITH_NMS_LIMIT, |
| .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8}, |
| .outputs = {9, 10, 11, 12}, |
| }, |
| { |
| .type = OperationType::ROI_ALIGN, |
| .inputs = {13, 10, 12, 14, 15, 16, 17, 18, 19, 20}, |
| .outputs = {21}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {21, 22, 23, 24}, |
| .outputs = {25}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {13}; |
| const std::vector<uint32_t> outputIndexes = {9, 11, 25}; |
| std::vector<uint8_t> operandValues = { |
| 102, 102, 102, 63, 205, 204, 204, 61, 0, 0, 128, 63, 0, 0, 128, 63, 0, 0, 32, 65, 0, 0, 32, 65, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 65, 0, 0, 32, 65, 0, 0, 0, 0, 154, 153, 153, 62, 255, 255, 255, 255, 0, 0, 0, 0, 205, 204, 204, 62, 0, 0, 128, 63, 154, 153, 153, 62, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 64, 4, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 128, 63, 0, 0, 0, 64, 0, 0, 64, 64, 0, 0, 128, 63, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| .relaxComputationFloat32toFloat16 = true, |
| }; |
| } |
| |
| bool is_ignored_zero_sized_nhwc_relaxed(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_zero_sized_nhwc_relaxed_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 8}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 8}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 32}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 40, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 44, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 48, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 52, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 56, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 60, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 64, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 4}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 1, 1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 68, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 72, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 76, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 80, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 84, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 88, .length = 4}, |
| }, |
| { |
| .type = OperandType::BOOL, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 92, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 2, 2, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 93, .length = 12}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 105, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 109, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {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::BOX_WITH_NMS_LIMIT, |
| .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8}, |
| .outputs = {9, 10, 11, 12}, |
| }, |
| { |
| .type = OperationType::ROI_ALIGN, |
| .inputs = {13, 10, 12, 14, 15, 16, 17, 18, 19, 20}, |
| .outputs = {21}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {21, 22, 23, 24}, |
| .outputs = {25}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {13}; |
| const std::vector<uint32_t> outputIndexes = {9, 11, 25}; |
| std::vector<uint8_t> operandValues = { |
| 102, 102, 102, 63, 205, 204, 204, 61, 0, 0, 128, 63, 0, 0, 128, 63, 0, 0, 32, 65, 0, 0, 32, 65, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 65, 0, 0, 32, 65, 0, 0, 0, 0, 154, 153, 153, 62, 255, 255, 255, 255, 0, 0, 0, 0, 205, 204, 204, 62, 0, 0, 128, 63, 154, 153, 153, 62, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 64, 4, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 128, 63, 0, 0, 0, 64, 0, 0, 64, 64, 0, 0, 128, 63, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| .relaxComputationFloat32toFloat16 = true, |
| }; |
| } |
| |
| bool is_ignored_zero_sized_nhwc_relaxed_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_zero_sized_nhwc_quant8() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 2}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT16_ASYMM, |
| .dimensions = {1, 8}, |
| .numberOfConsumers = 1, |
| .scale = 0.125f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 2, .length = 16}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 18, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 22, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 26, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 30, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 34, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 38, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 42, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT16_ASYMM, |
| .dimensions = {0, 4}, |
| .numberOfConsumers = 1, |
| .scale = 0.125f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 1, 1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 46, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 50, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 54, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 58, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 62, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 66, .length = 4}, |
| }, |
| { |
| .type = OperandType::BOOL, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 70, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {0, 2, 2, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 71, .length = 3}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.01f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 74, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 78, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {0, 1}, |
| .numberOfConsumers = 0, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::BOX_WITH_NMS_LIMIT, |
| .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8}, |
| .outputs = {9, 10, 11, 12}, |
| }, |
| { |
| .type = OperationType::ROI_ALIGN, |
| .inputs = {13, 10, 12, 14, 15, 16, 17, 18, 19, 20}, |
| .outputs = {21}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {21, 22, 23, 24}, |
| .outputs = {25}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {13}; |
| const std::vector<uint32_t> outputIndexes = {9, 11, 25}; |
| std::vector<uint8_t> operandValues = { |
| 137, 129, 8, 0, 8, 0, 80, 0, 80, 0, 0, 0, 0, 0, 80, 0, 80, 0, 0, 0, 0, 0, 154, 153, 153, 62, 255, 255, 255, 255, 0, 0, 0, 0, 205, 204, 204, 62, 0, 0, 128, 63, 154, 153, 153, 62, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 64, 4, 0, 0, 0, 4, 0, 0, 0, 0, 138, 148, 158, 100, 0, 0, 0, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_zero_sized_nhwc_quant8(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_zero_sized_nhwc_quant8_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 2}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT16_ASYMM, |
| .dimensions = {1, 8}, |
| .numberOfConsumers = 1, |
| .scale = 0.125f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 2, .length = 16}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 18, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 22, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 26, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 30, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 34, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 38, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 42, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT16_ASYMM, |
| .dimensions = {0, 4}, |
| .numberOfConsumers = 1, |
| .scale = 0.125f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 1, 1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 46, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 50, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 54, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 58, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 62, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 66, .length = 4}, |
| }, |
| { |
| .type = OperandType::BOOL, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 70, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {0, 2, 2, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 71, .length = 3}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.01f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 74, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 78, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {0, 0}, |
| .numberOfConsumers = 0, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::BOX_WITH_NMS_LIMIT, |
| .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8}, |
| .outputs = {9, 10, 11, 12}, |
| }, |
| { |
| .type = OperationType::ROI_ALIGN, |
| .inputs = {13, 10, 12, 14, 15, 16, 17, 18, 19, 20}, |
| .outputs = {21}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {21, 22, 23, 24}, |
| .outputs = {25}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {13}; |
| const std::vector<uint32_t> outputIndexes = {9, 11, 25}; |
| std::vector<uint8_t> operandValues = { |
| 137, 129, 8, 0, 8, 0, 80, 0, 80, 0, 0, 0, 0, 0, 80, 0, 80, 0, 0, 0, 0, 0, 154, 153, 153, 62, 255, 255, 255, 255, 0, 0, 0, 0, 205, 204, 204, 62, 0, 0, 128, 63, 154, 153, 153, 62, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 64, 4, 0, 0, 0, 4, 0, 0, 0, 0, 138, 148, 158, 100, 0, 0, 0, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_zero_sized_nhwc_quant8_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_zero_sized_nhwc_float16() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 8}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 16}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 20, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 24, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 26, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 30, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 34, .length = 2}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 36, .length = 2}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 38, .length = 2}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {0, 4}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 1, 1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 40, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 44, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 48, .length = 2}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 50, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 52, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 56, .length = 4}, |
| }, |
| { |
| .type = OperandType::BOOL, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 60, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {0, 2, 2, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 61, .length = 6}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 67, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 69, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {0, 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::BOX_WITH_NMS_LIMIT, |
| .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8}, |
| .outputs = {9, 10, 11, 12}, |
| }, |
| { |
| .type = OperationType::ROI_ALIGN, |
| .inputs = {13, 10, 12, 14, 15, 16, 17, 18, 19, 20}, |
| .outputs = {21}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {21, 22, 23, 24}, |
| .outputs = {25}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {13}; |
| const std::vector<uint32_t> outputIndexes = {9, 11, 25}; |
| std::vector<uint8_t> operandValues = { |
| 51, 59, 102, 46, 0, 60, 0, 60, 0, 73, 0, 73, 0, 0, 0, 0, 0, 73, 0, 73, 0, 0, 0, 0, 205, 52, 255, 255, 255, 255, 0, 0, 0, 0, 102, 54, 0, 60, 205, 52, 2, 0, 0, 0, 2, 0, 0, 0, 0, 64, 0, 64, 4, 0, 0, 0, 4, 0, 0, 0, 0, 0, 60, 0, 64, 0, 66, 0, 60, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_zero_sized_nhwc_float16(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_zero_sized_nhwc_float16_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 8}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 16}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 20, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 24, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 26, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 30, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 34, .length = 2}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 36, .length = 2}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 38, .length = 2}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {0, 4}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 1, 1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 40, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 44, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 48, .length = 2}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 50, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 52, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 56, .length = 4}, |
| }, |
| { |
| .type = OperandType::BOOL, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 60, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {0, 2, 2, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 61, .length = 6}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 67, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 69, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {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::BOX_WITH_NMS_LIMIT, |
| .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8}, |
| .outputs = {9, 10, 11, 12}, |
| }, |
| { |
| .type = OperationType::ROI_ALIGN, |
| .inputs = {13, 10, 12, 14, 15, 16, 17, 18, 19, 20}, |
| .outputs = {21}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {21, 22, 23, 24}, |
| .outputs = {25}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {13}; |
| const std::vector<uint32_t> outputIndexes = {9, 11, 25}; |
| std::vector<uint8_t> operandValues = { |
| 51, 59, 102, 46, 0, 60, 0, 60, 0, 73, 0, 73, 0, 0, 0, 0, 0, 73, 0, 73, 0, 0, 0, 0, 205, 52, 255, 255, 255, 255, 0, 0, 0, 0, 102, 54, 0, 60, 205, 52, 2, 0, 0, 0, 2, 0, 0, 0, 0, 64, 0, 64, 4, 0, 0, 0, 4, 0, 0, 0, 0, 0, 60, 0, 64, 0, 66, 0, 60, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_zero_sized_nhwc_float16_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_zero_sized_nchw() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 8}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 8}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 32}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 40, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 44, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 48, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 52, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 56, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 60, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 64, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 4}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 3, 1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 68, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 72, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 76, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 80, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 84, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 88, .length = 4}, |
| }, |
| { |
| .type = OperandType::BOOL, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 92, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 3, 2, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 93, .length = 12}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 105, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 109, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 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::BOX_WITH_NMS_LIMIT, |
| .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8}, |
| .outputs = {9, 10, 11, 12}, |
| }, |
| { |
| .type = OperationType::ROI_ALIGN, |
| .inputs = {13, 10, 12, 14, 15, 16, 17, 18, 19, 20}, |
| .outputs = {21}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {21, 22, 23, 24}, |
| .outputs = {25}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {13}; |
| const std::vector<uint32_t> outputIndexes = {9, 11, 25}; |
| std::vector<uint8_t> operandValues = { |
| 102, 102, 102, 63, 205, 204, 204, 61, 0, 0, 128, 63, 0, 0, 128, 63, 0, 0, 32, 65, 0, 0, 32, 65, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 65, 0, 0, 32, 65, 0, 0, 0, 0, 154, 153, 153, 62, 255, 255, 255, 255, 0, 0, 0, 0, 205, 204, 204, 62, 0, 0, 128, 63, 154, 153, 153, 62, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 64, 4, 0, 0, 0, 4, 0, 0, 0, 1, 0, 0, 128, 63, 0, 0, 0, 64, 0, 0, 64, 64, 0, 0, 128, 63, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_zero_sized_nchw(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_zero_sized_nchw_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 8}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 8}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 32}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 40, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 44, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 48, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 52, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 56, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 60, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 64, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 4}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 3, 1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 68, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 72, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 76, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 80, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 84, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 88, .length = 4}, |
| }, |
| { |
| .type = OperandType::BOOL, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 92, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 3, 2, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 93, .length = 12}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 105, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 109, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {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::BOX_WITH_NMS_LIMIT, |
| .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8}, |
| .outputs = {9, 10, 11, 12}, |
| }, |
| { |
| .type = OperationType::ROI_ALIGN, |
| .inputs = {13, 10, 12, 14, 15, 16, 17, 18, 19, 20}, |
| .outputs = {21}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {21, 22, 23, 24}, |
| .outputs = {25}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {13}; |
| const std::vector<uint32_t> outputIndexes = {9, 11, 25}; |
| std::vector<uint8_t> operandValues = { |
| 102, 102, 102, 63, 205, 204, 204, 61, 0, 0, 128, 63, 0, 0, 128, 63, 0, 0, 32, 65, 0, 0, 32, 65, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 65, 0, 0, 32, 65, 0, 0, 0, 0, 154, 153, 153, 62, 255, 255, 255, 255, 0, 0, 0, 0, 205, 204, 204, 62, 0, 0, 128, 63, 154, 153, 153, 62, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 64, 4, 0, 0, 0, 4, 0, 0, 0, 1, 0, 0, 128, 63, 0, 0, 0, 64, 0, 0, 64, 64, 0, 0, 128, 63, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_zero_sized_nchw_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_zero_sized_nchw_relaxed() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 8}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 8}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 32}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 40, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 44, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 48, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 52, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 56, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 60, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 64, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 4}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 3, 1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 68, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 72, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 76, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 80, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 84, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 88, .length = 4}, |
| }, |
| { |
| .type = OperandType::BOOL, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 92, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 3, 2, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 93, .length = 12}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 105, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 109, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 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::BOX_WITH_NMS_LIMIT, |
| .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8}, |
| .outputs = {9, 10, 11, 12}, |
| }, |
| { |
| .type = OperationType::ROI_ALIGN, |
| .inputs = {13, 10, 12, 14, 15, 16, 17, 18, 19, 20}, |
| .outputs = {21}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {21, 22, 23, 24}, |
| .outputs = {25}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {13}; |
| const std::vector<uint32_t> outputIndexes = {9, 11, 25}; |
| std::vector<uint8_t> operandValues = { |
| 102, 102, 102, 63, 205, 204, 204, 61, 0, 0, 128, 63, 0, 0, 128, 63, 0, 0, 32, 65, 0, 0, 32, 65, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 65, 0, 0, 32, 65, 0, 0, 0, 0, 154, 153, 153, 62, 255, 255, 255, 255, 0, 0, 0, 0, 205, 204, 204, 62, 0, 0, 128, 63, 154, 153, 153, 62, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 64, 4, 0, 0, 0, 4, 0, 0, 0, 1, 0, 0, 128, 63, 0, 0, 0, 64, 0, 0, 64, 64, 0, 0, 128, 63, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| .relaxComputationFloat32toFloat16 = true, |
| }; |
| } |
| |
| bool is_ignored_zero_sized_nchw_relaxed(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_zero_sized_nchw_relaxed_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 8}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 8}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 8, .length = 32}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 40, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 44, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 48, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 52, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 56, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 60, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 64, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 4}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 3, 1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 68, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 72, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 76, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 80, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 84, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 88, .length = 4}, |
| }, |
| { |
| .type = OperandType::BOOL, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 92, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {0, 3, 2, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 93, .length = 12}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 105, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 109, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT32, |
| .dimensions = {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::BOX_WITH_NMS_LIMIT, |
| .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8}, |
| .outputs = {9, 10, 11, 12}, |
| }, |
| { |
| .type = OperationType::ROI_ALIGN, |
| .inputs = {13, 10, 12, 14, 15, 16, 17, 18, 19, 20}, |
| .outputs = {21}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {21, 22, 23, 24}, |
| .outputs = {25}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {13}; |
| const std::vector<uint32_t> outputIndexes = {9, 11, 25}; |
| std::vector<uint8_t> operandValues = { |
| 102, 102, 102, 63, 205, 204, 204, 61, 0, 0, 128, 63, 0, 0, 128, 63, 0, 0, 32, 65, 0, 0, 32, 65, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 65, 0, 0, 32, 65, 0, 0, 0, 0, 154, 153, 153, 62, 255, 255, 255, 255, 0, 0, 0, 0, 205, 204, 204, 62, 0, 0, 128, 63, 154, 153, 153, 62, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 64, 4, 0, 0, 0, 4, 0, 0, 0, 1, 0, 0, 128, 63, 0, 0, 0, 64, 0, 0, 64, 64, 0, 0, 128, 63, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| .relaxComputationFloat32toFloat16 = true, |
| }; |
| } |
| |
| bool is_ignored_zero_sized_nchw_relaxed_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_zero_sized_nchw_quant8() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 2}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT16_ASYMM, |
| .dimensions = {1, 8}, |
| .numberOfConsumers = 1, |
| .scale = 0.125f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 2, .length = 16}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 18, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 22, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 26, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 30, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 34, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 38, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 42, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT16_ASYMM, |
| .dimensions = {0, 4}, |
| .numberOfConsumers = 1, |
| .scale = 0.125f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 3, 1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 46, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 50, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 54, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 58, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 62, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 66, .length = 4}, |
| }, |
| { |
| .type = OperandType::BOOL, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 70, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {0, 3, 2, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 71, .length = 3}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.01f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 74, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 78, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {0, 1}, |
| .numberOfConsumers = 0, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::BOX_WITH_NMS_LIMIT, |
| .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8}, |
| .outputs = {9, 10, 11, 12}, |
| }, |
| { |
| .type = OperationType::ROI_ALIGN, |
| .inputs = {13, 10, 12, 14, 15, 16, 17, 18, 19, 20}, |
| .outputs = {21}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {21, 22, 23, 24}, |
| .outputs = {25}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {13}; |
| const std::vector<uint32_t> outputIndexes = {9, 11, 25}; |
| std::vector<uint8_t> operandValues = { |
| 137, 129, 8, 0, 8, 0, 80, 0, 80, 0, 0, 0, 0, 0, 80, 0, 80, 0, 0, 0, 0, 0, 154, 153, 153, 62, 255, 255, 255, 255, 0, 0, 0, 0, 205, 204, 204, 62, 0, 0, 128, 63, 154, 153, 153, 62, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 64, 4, 0, 0, 0, 4, 0, 0, 0, 1, 138, 148, 158, 100, 0, 0, 0, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_zero_sized_nchw_quant8(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_zero_sized_nchw_quant8_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 2}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT16_ASYMM, |
| .dimensions = {1, 8}, |
| .numberOfConsumers = 1, |
| .scale = 0.125f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 2, .length = 16}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 18, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 22, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 26, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 30, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 34, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 38, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 42, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT16_ASYMM, |
| .dimensions = {0, 4}, |
| .numberOfConsumers = 1, |
| .scale = 0.125f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 3, 1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 46, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 50, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 54, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 58, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 62, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 66, .length = 4}, |
| }, |
| { |
| .type = OperandType::BOOL, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 70, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {0, 3, 2, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 71, .length = 3}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.01f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 74, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 78, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_QUANT8_ASYMM, |
| .dimensions = {0, 0}, |
| .numberOfConsumers = 0, |
| .scale = 0.1f, |
| .zeroPoint = 128, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| } |
| }; |
| |
| const std::vector<Operation> operations = { |
| { |
| .type = OperationType::BOX_WITH_NMS_LIMIT, |
| .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8}, |
| .outputs = {9, 10, 11, 12}, |
| }, |
| { |
| .type = OperationType::ROI_ALIGN, |
| .inputs = {13, 10, 12, 14, 15, 16, 17, 18, 19, 20}, |
| .outputs = {21}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {21, 22, 23, 24}, |
| .outputs = {25}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {13}; |
| const std::vector<uint32_t> outputIndexes = {9, 11, 25}; |
| std::vector<uint8_t> operandValues = { |
| 137, 129, 8, 0, 8, 0, 80, 0, 80, 0, 0, 0, 0, 0, 80, 0, 80, 0, 0, 0, 0, 0, 154, 153, 153, 62, 255, 255, 255, 255, 0, 0, 0, 0, 205, 204, 204, 62, 0, 0, 128, 63, 154, 153, 153, 62, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 64, 4, 0, 0, 0, 4, 0, 0, 0, 1, 138, 148, 158, 100, 0, 0, 0, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_zero_sized_nchw_quant8_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_zero_sized_nchw_float16() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 8}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 16}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 20, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 24, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 26, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 30, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 34, .length = 2}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 36, .length = 2}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 38, .length = 2}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {0, 4}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 3, 1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 40, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 44, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 48, .length = 2}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 50, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 52, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 56, .length = 4}, |
| }, |
| { |
| .type = OperandType::BOOL, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 60, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {0, 3, 2, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 61, .length = 6}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 67, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 69, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {0, 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::BOX_WITH_NMS_LIMIT, |
| .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8}, |
| .outputs = {9, 10, 11, 12}, |
| }, |
| { |
| .type = OperationType::ROI_ALIGN, |
| .inputs = {13, 10, 12, 14, 15, 16, 17, 18, 19, 20}, |
| .outputs = {21}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {21, 22, 23, 24}, |
| .outputs = {25}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {13}; |
| const std::vector<uint32_t> outputIndexes = {9, 11, 25}; |
| std::vector<uint8_t> operandValues = { |
| 51, 59, 102, 46, 0, 60, 0, 60, 0, 73, 0, 73, 0, 0, 0, 0, 0, 73, 0, 73, 0, 0, 0, 0, 205, 52, 255, 255, 255, 255, 0, 0, 0, 0, 102, 54, 0, 60, 205, 52, 2, 0, 0, 0, 2, 0, 0, 0, 0, 64, 0, 64, 4, 0, 0, 0, 4, 0, 0, 0, 1, 0, 60, 0, 64, 0, 66, 0, 60, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_zero_sized_nchw_float16(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
| namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 { |
| |
| Model createTestModel_zero_sized_nchw_float16_dynamic_output_shape() { |
| const std::vector<Operand> operands = { |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 0, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 8}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 4, .length = 16}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 20, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 24, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 26, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 30, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 34, .length = 2}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 36, .length = 2}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 38, .length = 2}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {0, 4}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 0, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_OUTPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_INT32, |
| .dimensions = {0}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 3, 1, 1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::MODEL_INPUT, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 40, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 44, .length = 4}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 48, .length = 2}, |
| }, |
| { |
| .type = OperandType::FLOAT16, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 50, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 52, .length = 4}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 56, .length = 4}, |
| }, |
| { |
| .type = OperandType::BOOL, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 60, .length = 1}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {0, 3, 2, 2}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::TEMPORARY_VARIABLE, |
| .location = {.poolIndex = 0, .offset = 0, .length = 0}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1, 3}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 61, .length = 6}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {1}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 67, .length = 2}, |
| }, |
| { |
| .type = OperandType::INT32, |
| .dimensions = {}, |
| .numberOfConsumers = 1, |
| .scale = 0.0f, |
| .zeroPoint = 0, |
| .lifetime = OperandLifeTime::CONSTANT_COPY, |
| .location = {.poolIndex = 0, .offset = 69, .length = 4}, |
| }, |
| { |
| .type = OperandType::TENSOR_FLOAT16, |
| .dimensions = {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::BOX_WITH_NMS_LIMIT, |
| .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8}, |
| .outputs = {9, 10, 11, 12}, |
| }, |
| { |
| .type = OperationType::ROI_ALIGN, |
| .inputs = {13, 10, 12, 14, 15, 16, 17, 18, 19, 20}, |
| .outputs = {21}, |
| }, |
| { |
| .type = OperationType::FULLY_CONNECTED, |
| .inputs = {21, 22, 23, 24}, |
| .outputs = {25}, |
| } |
| }; |
| |
| const std::vector<uint32_t> inputIndexes = {13}; |
| const std::vector<uint32_t> outputIndexes = {9, 11, 25}; |
| std::vector<uint8_t> operandValues = { |
| 51, 59, 102, 46, 0, 60, 0, 60, 0, 73, 0, 73, 0, 0, 0, 0, 0, 73, 0, 73, 0, 0, 0, 0, 205, 52, 255, 255, 255, 255, 0, 0, 0, 0, 102, 54, 0, 60, 205, 52, 2, 0, 0, 0, 2, 0, 0, 0, 0, 64, 0, 64, 4, 0, 0, 0, 4, 0, 0, 0, 1, 0, 60, 0, 64, 0, 66, 0, 60, 0, 0, 0, 0 |
| }; |
| const std::vector<hidl_memory> pools = {}; |
| |
| return { |
| .operands = operands, |
| .operations = operations, |
| .inputIndexes = inputIndexes, |
| .outputIndexes = outputIndexes, |
| .operandValues = operandValues, |
| .pools = pools, |
| }; |
| } |
| |
| bool is_ignored_zero_sized_nchw_float16_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_2::generated_tests::fully_connected_v1_2 |
