// clang-format off
// Generated file (from: prelu.mod.py). Do not edit
// Create the model
Model createTestModel() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {1, 2, 2, 3},
            .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, 3},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 0, .length = 12},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {1, 2, 2, 3},
            .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::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {
      0, 0, 0, 0, 0, 0, 128, 63, 0, 0, 0, 64
    };
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_relaxed() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {1, 2, 2, 3},
            .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, 3},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 0, .length = 12},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {1, 2, 2, 3},
            .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::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {
      0, 0, 0, 0, 0, 0, 128, 63, 0, 0, 0, 64
    };
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
        .relaxComputationFloat32toFloat16 = true,
    };
}

inline bool is_ignored_relaxed(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_quant8() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 128,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 1, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 50,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 0, .length = 3},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 0,
            .scale = 0.5f,
            .zeroPoint = 120,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {
      50, 54, 58
    };
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_quant8(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_quant8_2() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 128,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 1, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 50,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 0, .length = 3},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 0,
            .scale = 0.25f,
            .zeroPoint = 120,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {
      50, 54, 58
    };
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_quant8_2(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_quant8_3() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 128,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 1, 3},
            .numberOfConsumers = 1,
            .scale = 0.5f,
            .zeroPoint = 50,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 0, .length = 3},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 0,
            .scale = 0.125f,
            .zeroPoint = 120,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {
      50, 52, 54
    };
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_quant8_3(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_quant8_4() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 128,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 1, 3},
            .numberOfConsumers = 1,
            .scale = 0.5f,
            .zeroPoint = 50,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 0, .length = 3},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 0,
            .scale = 0.1f,
            .zeroPoint = 120,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {
      50, 52, 54
    };
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_quant8_4(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_float16() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_FLOAT16,
            .dimensions = {1, 2, 2, 3},
            .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, 3},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 0, .length = 6},
        },
        {
            .type = OperandType::TENSOR_FLOAT16,
            .dimensions = {1, 2, 2, 3},
            .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::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {
      0, 0, 0, 60, 0, 64
    };
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_float16(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_weight_as_input() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {1, 2, 2, 3},
            .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, 3},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {1, 2, 2, 3},
            .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::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0, 1};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {};
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_weight_as_input(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_weight_as_input_relaxed() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {1, 2, 2, 3},
            .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, 3},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {1, 2, 2, 3},
            .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::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0, 1};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {};
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
        .relaxComputationFloat32toFloat16 = true,
    };
}

inline bool is_ignored_weight_as_input_relaxed(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_weight_as_input_quant8() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 128,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 1, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 50,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 0,
            .scale = 0.5f,
            .zeroPoint = 120,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0, 1};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {};
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_weight_as_input_quant8(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_weight_as_input_quant8_2() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 128,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 1, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 50,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 0,
            .scale = 0.25f,
            .zeroPoint = 120,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0, 1};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {};
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_weight_as_input_quant8_2(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_weight_as_input_quant8_3() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 128,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 1, 3},
            .numberOfConsumers = 1,
            .scale = 0.5f,
            .zeroPoint = 50,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 0,
            .scale = 0.125f,
            .zeroPoint = 120,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0, 1};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {};
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_weight_as_input_quant8_3(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_weight_as_input_quant8_4() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 128,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 1, 3},
            .numberOfConsumers = 1,
            .scale = 0.5f,
            .zeroPoint = 50,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 0,
            .scale = 0.1f,
            .zeroPoint = 120,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0, 1};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {};
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_weight_as_input_quant8_4(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_weight_as_input_float16() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_FLOAT16,
            .dimensions = {1, 2, 2, 3},
            .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, 3},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT16,
            .dimensions = {1, 2, 2, 3},
            .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::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0, 1};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {};
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_weight_as_input_float16(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_dynamic_output_shape() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {1, 2, 2, 3},
            .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, 3},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 0, .length = 12},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {0, 0, 0, 0},
            .numberOfConsumers = 0,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {
      0, 0, 0, 0, 0, 0, 128, 63, 0, 0, 0, 64
    };
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_dynamic_output_shape(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_dynamic_output_shape_relaxed() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {1, 2, 2, 3},
            .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, 3},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 0, .length = 12},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {0, 0, 0, 0},
            .numberOfConsumers = 0,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {
      0, 0, 0, 0, 0, 0, 128, 63, 0, 0, 0, 64
    };
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
        .relaxComputationFloat32toFloat16 = true,
    };
}

inline bool is_ignored_dynamic_output_shape_relaxed(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_dynamic_output_shape_quant8() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 128,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 1, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 50,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 0, .length = 3},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {0, 0, 0, 0},
            .numberOfConsumers = 0,
            .scale = 0.5f,
            .zeroPoint = 120,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {
      50, 54, 58
    };
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_dynamic_output_shape_quant8(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_dynamic_output_shape_quant8_2() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 128,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 1, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 50,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 0, .length = 3},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {0, 0, 0, 0},
            .numberOfConsumers = 0,
            .scale = 0.25f,
            .zeroPoint = 120,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {
      50, 54, 58
    };
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_dynamic_output_shape_quant8_2(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_dynamic_output_shape_quant8_3() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 128,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 1, 3},
            .numberOfConsumers = 1,
            .scale = 0.5f,
            .zeroPoint = 50,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 0, .length = 3},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {0, 0, 0, 0},
            .numberOfConsumers = 0,
            .scale = 0.125f,
            .zeroPoint = 120,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {
      50, 52, 54
    };
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_dynamic_output_shape_quant8_3(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_dynamic_output_shape_quant8_4() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 128,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 1, 3},
            .numberOfConsumers = 1,
            .scale = 0.5f,
            .zeroPoint = 50,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 0, .length = 3},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {0, 0, 0, 0},
            .numberOfConsumers = 0,
            .scale = 0.1f,
            .zeroPoint = 120,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {
      50, 52, 54
    };
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_dynamic_output_shape_quant8_4(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_dynamic_output_shape_float16() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_FLOAT16,
            .dimensions = {1, 2, 2, 3},
            .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, 3},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 0, .length = 6},
        },
        {
            .type = OperandType::TENSOR_FLOAT16,
            .dimensions = {0, 0, 0, 0},
            .numberOfConsumers = 0,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {
      0, 0, 0, 60, 0, 64
    };
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_dynamic_output_shape_float16(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_dynamic_output_shape_weight_as_input() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {1, 2, 2, 3},
            .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, 3},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {0, 0, 0, 0},
            .numberOfConsumers = 0,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0, 1};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {};
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_dynamic_output_shape_weight_as_input(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_dynamic_output_shape_weight_as_input_relaxed() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {1, 2, 2, 3},
            .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, 3},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {0, 0, 0, 0},
            .numberOfConsumers = 0,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0, 1};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {};
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
        .relaxComputationFloat32toFloat16 = true,
    };
}

inline bool is_ignored_dynamic_output_shape_weight_as_input_relaxed(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_dynamic_output_shape_weight_as_input_quant8() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 128,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 1, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 50,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {0, 0, 0, 0},
            .numberOfConsumers = 0,
            .scale = 0.5f,
            .zeroPoint = 120,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0, 1};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {};
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_dynamic_output_shape_weight_as_input_quant8(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_dynamic_output_shape_weight_as_input_quant8_2() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 128,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 1, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 50,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {0, 0, 0, 0},
            .numberOfConsumers = 0,
            .scale = 0.25f,
            .zeroPoint = 120,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0, 1};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {};
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_dynamic_output_shape_weight_as_input_quant8_2(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_dynamic_output_shape_weight_as_input_quant8_3() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 128,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 1, 3},
            .numberOfConsumers = 1,
            .scale = 0.5f,
            .zeroPoint = 50,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {0, 0, 0, 0},
            .numberOfConsumers = 0,
            .scale = 0.125f,
            .zeroPoint = 120,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0, 1};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {};
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_dynamic_output_shape_weight_as_input_quant8_3(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_dynamic_output_shape_weight_as_input_quant8_4() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 2, 2, 3},
            .numberOfConsumers = 1,
            .scale = 0.25f,
            .zeroPoint = 128,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {1, 1, 3},
            .numberOfConsumers = 1,
            .scale = 0.5f,
            .zeroPoint = 50,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_QUANT8_ASYMM,
            .dimensions = {0, 0, 0, 0},
            .numberOfConsumers = 0,
            .scale = 0.1f,
            .zeroPoint = 120,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0, 1};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {};
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_dynamic_output_shape_weight_as_input_quant8_4(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

// Create the model
Model createTestModel_dynamic_output_shape_weight_as_input_float16() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_FLOAT16,
            .dimensions = {1, 2, 2, 3},
            .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, 3},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::MODEL_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT16,
            .dimensions = {0, 0, 0, 0},
            .numberOfConsumers = 0,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::MODEL_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::PRELU,
            .inputs = {0, 1},
            .outputs = {2},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0, 1};
    const std::vector<uint32_t> outputIndexes = {2};
    std::vector<uint8_t> operandValues = {};
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

inline bool is_ignored_dynamic_output_shape_weight_as_input_float16(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}