blob: a124efb1f787ee8a60f92601f59e256369f4f260 [file] [log] [blame]
// Generated from bidirectional_sequence_rnn.mod.py
// DO NOT EDIT
// clang-format off
#include "GeneratedTests.h"
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_dynamic_output_shape() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_dynamic_output_shape(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_all_inputs_as_internal() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 17, 20, 23, 26, 29, 32, 35, 38, 41};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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_inputs_as_internal(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_all_inputs_as_internal_dynamic_output_shape() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {0, 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 = {2, 16, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 17, 20, 23, 26, 29, 32, 35, 38, 41};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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_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::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_dynamic_output_shape() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_dynamic_output_shape(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_all_inputs_as_internal() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 17, 20, 23, 26, 29, 32, 35, 38, 41};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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_inputs_as_internal(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_all_inputs_as_internal_dynamic_output_shape() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {0, 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 = {2, 16, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 17, 20, 23, 26, 29, 32, 35, 38, 41};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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_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::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 16},
.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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_dynamic_output_shape() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0, 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 = {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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_dynamic_output_shape(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_all_inputs_as_internal() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.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 = 6, .length = 2},
},
{
.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_FLOAT16,
.dimensions = {16, 8},
.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 = 12, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 14, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 18, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 20, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 30, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 32, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.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 = 36, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 38, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 42, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 44, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 48, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 50, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 54, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 56, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 17, 20, 23, 26, 29, 32, 35, 38, 41};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_all_inputs_as_internal_dynamic_output_shape() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0, 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 = {0, 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 = {2, 16, 8},
.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 = 6, .length = 2},
},
{
.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_FLOAT16,
.dimensions = {16, 8},
.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 = 12, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 14, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 18, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 20, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 30, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 32, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.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 = 36, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 38, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 42, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 44, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 48, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 50, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 54, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 56, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 17, 20, 23, 26, 29, 32, 35, 38, 41};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_2() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 16},
.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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 0
};
const std::vector<hidl_memory> pools = {};
return {
.operands = operands,
.operations = operations,
.inputIndexes = inputIndexes,
.outputIndexes = outputIndexes,
.operandValues = operandValues,
.pools = pools,
};
}
bool is_ignored_2(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_dynamic_output_shape_2() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 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_2(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_all_inputs_as_internal_2() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 17, 20, 23, 26, 29, 32, 35, 38, 41};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 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, 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, 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_inputs_as_internal_2(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_all_inputs_as_internal_dynamic_output_shape_2() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {0, 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 = {16, 2, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 17, 20, 23, 26, 29, 32, 35, 38, 41};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 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, 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, 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_inputs_as_internal_dynamic_output_shape_2(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_2() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 16},
.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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 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_2(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_dynamic_output_shape_2() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 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_2(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_all_inputs_as_internal_2() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 17, 20, 23, 26, 29, 32, 35, 38, 41};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 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, 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, 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_inputs_as_internal_2(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_all_inputs_as_internal_dynamic_output_shape_2() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {0, 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 = {16, 2, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 17, 20, 23, 26, 29, 32, 35, 38, 41};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 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, 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, 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_inputs_as_internal_dynamic_output_shape_2(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_2() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 2, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 2, 16},
.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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 0
};
const std::vector<hidl_memory> pools = {};
return {
.operands = operands,
.operations = operations,
.inputIndexes = inputIndexes,
.outputIndexes = outputIndexes,
.operandValues = operandValues,
.pools = pools,
};
}
bool is_ignored_float16_2(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_dynamic_output_shape_2() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0, 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 = {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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 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_2(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_all_inputs_as_internal_2() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 2, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 2, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 2, 8},
.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 = 6, .length = 2},
},
{
.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_FLOAT16,
.dimensions = {16, 8},
.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 = 12, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 14, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 18, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 20, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 30, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 32, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.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 = 36, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 38, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 42, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 44, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 48, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 50, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 54, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 56, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 17, 20, 23, 26, 29, 32, 35, 38, 41};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 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, 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_float16_all_inputs_as_internal_2(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_all_inputs_as_internal_dynamic_output_shape_2() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0, 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 = {0, 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 = {16, 2, 8},
.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 = 6, .length = 2},
},
{
.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_FLOAT16,
.dimensions = {16, 8},
.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 = 12, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 14, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 18, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 20, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 30, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 32, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.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 = 36, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 38, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 42, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 44, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 48, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 50, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 54, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 56, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 17, 20, 23, 26, 29, 32, 35, 38, 41};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 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, 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_float16_all_inputs_as_internal_dynamic_output_shape_2(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_3() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 32},
.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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 1
};
const std::vector<hidl_memory> pools = {};
return {
.operands = operands,
.operations = operations,
.inputIndexes = inputIndexes,
.outputIndexes = outputIndexes,
.operandValues = operandValues,
.pools = pools,
};
}
bool is_ignored_3(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_dynamic_output_shape_3() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 1
};
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_3(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_all_inputs_as_internal_3() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 32},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {16, 17, 18},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {19, 20, 21},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {22, 23, 24},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {25, 26, 27},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {28, 29, 30},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {31, 32, 33},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {34, 35, 36},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {37, 38, 39},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {40, 41, 42},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 16, 19, 22, 25, 28, 31, 34, 37, 40};
const std::vector<uint32_t> outputIndexes = {15};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 1, 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, 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, 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_inputs_as_internal_3(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_all_inputs_as_internal_dynamic_output_shape_3() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {16, 2, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {16, 17, 18},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {19, 20, 21},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {22, 23, 24},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {25, 26, 27},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {28, 29, 30},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {31, 32, 33},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {34, 35, 36},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {37, 38, 39},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {40, 41, 42},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 16, 19, 22, 25, 28, 31, 34, 37, 40};
const std::vector<uint32_t> outputIndexes = {15};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 1, 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, 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, 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_inputs_as_internal_dynamic_output_shape_3(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_3() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 32},
.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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 1
};
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_3(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_dynamic_output_shape_3() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 1
};
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_3(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_all_inputs_as_internal_3() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 32},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {16, 17, 18},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {19, 20, 21},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {22, 23, 24},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {25, 26, 27},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {28, 29, 30},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {31, 32, 33},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {34, 35, 36},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {37, 38, 39},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {40, 41, 42},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 16, 19, 22, 25, 28, 31, 34, 37, 40};
const std::vector<uint32_t> outputIndexes = {15};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 1, 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, 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, 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_inputs_as_internal_3(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_all_inputs_as_internal_dynamic_output_shape_3() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {16, 2, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {16, 17, 18},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {19, 20, 21},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {22, 23, 24},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {25, 26, 27},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {28, 29, 30},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {31, 32, 33},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {34, 35, 36},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {37, 38, 39},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {40, 41, 42},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 16, 19, 22, 25, 28, 31, 34, 37, 40};
const std::vector<uint32_t> outputIndexes = {15};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 1, 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, 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, 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_inputs_as_internal_dynamic_output_shape_3(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_3() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 2, 32},
.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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 1
};
const std::vector<hidl_memory> pools = {};
return {
.operands = operands,
.operations = operations,
.inputIndexes = inputIndexes,
.outputIndexes = outputIndexes,
.operandValues = operandValues,
.pools = pools,
};
}
bool is_ignored_float16_3(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_dynamic_output_shape_3() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 1
};
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_3(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_all_inputs_as_internal_3() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 2, 32},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 2, 8},
.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 = 6, .length = 2},
},
{
.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_FLOAT16,
.dimensions = {16, 8},
.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 = 12, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 14, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 18, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 20, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 30, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 32, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.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 = 36, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 38, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 42, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 44, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 48, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 50, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 54, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 56, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {16, 17, 18},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {19, 20, 21},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {22, 23, 24},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {25, 26, 27},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {28, 29, 30},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {31, 32, 33},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {34, 35, 36},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {37, 38, 39},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {40, 41, 42},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 16, 19, 22, 25, 28, 31, 34, 37, 40};
const std::vector<uint32_t> outputIndexes = {15};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 1, 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, 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_float16_all_inputs_as_internal_3(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_all_inputs_as_internal_dynamic_output_shape_3() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 2, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0, 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 = {16, 2, 8},
.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 = 6, .length = 2},
},
{
.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_FLOAT16,
.dimensions = {16, 8},
.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 = 12, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 14, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 18, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 20, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 30, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 32, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.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 = 36, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 38, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 42, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 44, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 48, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 50, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 54, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 56, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {16, 17, 18},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {19, 20, 21},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {22, 23, 24},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {25, 26, 27},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {28, 29, 30},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {31, 32, 33},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {34, 35, 36},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {37, 38, 39},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {40, 41, 42},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 16, 19, 22, 25, 28, 31, 34, 37, 40};
const std::vector<uint32_t> outputIndexes = {15};
std::vector<uint8_t> operandValues = {
1, 0, 0, 0, 1, 1, 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, 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_float16_all_inputs_as_internal_dynamic_output_shape_3(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_4() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_4(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_dynamic_output_shape_4() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_dynamic_output_shape_4(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_all_inputs_as_internal_4() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 17, 20, 23, 26, 29, 32, 35, 38, 41};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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_inputs_as_internal_4(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_all_inputs_as_internal_dynamic_output_shape_4() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {0, 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 = {2, 16, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 17, 20, 23, 26, 29, 32, 35, 38, 41};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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_inputs_as_internal_dynamic_output_shape_4(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_4() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_4(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_dynamic_output_shape_4() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_dynamic_output_shape_4(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_all_inputs_as_internal_4() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 17, 20, 23, 26, 29, 32, 35, 38, 41};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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_inputs_as_internal_4(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_all_inputs_as_internal_dynamic_output_shape_4() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {0, 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 = {2, 16, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 17, 20, 23, 26, 29, 32, 35, 38, 41};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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_inputs_as_internal_dynamic_output_shape_4(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_4() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 16},
.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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_4(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_dynamic_output_shape_4() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0, 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 = {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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_dynamic_output_shape_4(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_all_inputs_as_internal_4() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.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 = 6, .length = 2},
},
{
.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_FLOAT16,
.dimensions = {16, 8},
.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 = 12, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 14, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 18, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 20, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 30, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 32, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.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 = 36, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 38, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 42, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 44, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 48, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 50, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 54, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 56, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 17, 20, 23, 26, 29, 32, 35, 38, 41};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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_4(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_all_inputs_as_internal_dynamic_output_shape_4() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0, 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 = {0, 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 = {2, 16, 8},
.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 = 6, .length = 2},
},
{
.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_FLOAT16,
.dimensions = {16, 8},
.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 = 12, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 14, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 18, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 20, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 30, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 32, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.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 = 36, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 38, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 42, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 44, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 48, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 50, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 54, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 56, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {9, 10, 11, 17, 20, 23, 26, 29, 32, 35, 38, 41};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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_4(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_5() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_5(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_dynamic_output_shape_5() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_dynamic_output_shape_5(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_all_inputs_as_internal_5() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.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 = 78, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 82, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 86, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 90, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 94, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 98, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::ADD,
.inputs = {44, 45, 46},
.outputs = {9},
},
{
.type = OperationType::ADD,
.inputs = {47, 48, 49},
.outputs = {10},
},
{
.type = OperationType::ADD,
.inputs = {50, 51, 52},
.outputs = {11},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {17, 20, 23, 26, 29, 32, 35, 38, 41, 44, 47, 50};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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, 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_inputs_as_internal_5(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_all_inputs_as_internal_dynamic_output_shape_5() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {0, 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 = {2, 16, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.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 = 78, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 82, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 86, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 90, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 94, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 98, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::ADD,
.inputs = {44, 45, 46},
.outputs = {9},
},
{
.type = OperationType::ADD,
.inputs = {47, 48, 49},
.outputs = {10},
},
{
.type = OperationType::ADD,
.inputs = {50, 51, 52},
.outputs = {11},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {17, 20, 23, 26, 29, 32, 35, 38, 41, 44, 47, 50};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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, 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_inputs_as_internal_dynamic_output_shape_5(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_5() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_5(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_dynamic_output_shape_5() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_dynamic_output_shape_5(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_all_inputs_as_internal_5() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.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 = 78, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 82, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 86, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 90, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 94, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 98, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::ADD,
.inputs = {44, 45, 46},
.outputs = {9},
},
{
.type = OperationType::ADD,
.inputs = {47, 48, 49},
.outputs = {10},
},
{
.type = OperationType::ADD,
.inputs = {50, 51, 52},
.outputs = {11},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {17, 20, 23, 26, 29, 32, 35, 38, 41, 44, 47, 50};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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, 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_inputs_as_internal_5(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_all_inputs_as_internal_dynamic_output_shape_5() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {0, 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 = {2, 16, 8},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 8},
.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 = 78, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 82, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 86, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 90, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 8},
.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 = 94, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 98, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::ADD,
.inputs = {44, 45, 46},
.outputs = {9},
},
{
.type = OperationType::ADD,
.inputs = {47, 48, 49},
.outputs = {10},
},
{
.type = OperationType::ADD,
.inputs = {50, 51, 52},
.outputs = {11},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {17, 20, 23, 26, 29, 32, 35, 38, 41, 44, 47, 50};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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, 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_inputs_as_internal_dynamic_output_shape_5(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_5() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 16},
.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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_5(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_dynamic_output_shape_5() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0, 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 = {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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_dynamic_output_shape_5(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_all_inputs_as_internal_5() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.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 = 6, .length = 2},
},
{
.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_FLOAT16,
.dimensions = {16, 8},
.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 = 12, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 14, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 18, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 20, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 30, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 32, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.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 = 36, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 38, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 42, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 44, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 48, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 50, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 54, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 56, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.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 = 60, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 62, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.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 = 66, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 68, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.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 = 72, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::ADD,
.inputs = {44, 45, 46},
.outputs = {9},
},
{
.type = OperationType::ADD,
.inputs = {47, 48, 49},
.outputs = {10},
},
{
.type = OperationType::ADD,
.inputs = {50, 51, 52},
.outputs = {11},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {17, 20, 23, 26, 29, 32, 35, 38, 41, 44, 47, 50};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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_inputs_as_internal_5(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_all_inputs_as_internal_dynamic_output_shape_5() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0, 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 = {0, 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 = {2, 16, 8},
.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 = 6, .length = 2},
},
{
.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_FLOAT16,
.dimensions = {16, 8},
.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 = 12, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 14, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 18, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 20, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 30, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 32, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.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 = 36, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 38, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 42, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 44, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 48, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 50, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 54, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 56, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 8},
.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 = 60, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 62, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.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 = 66, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 68, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 8},
.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 = 72, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::ADD,
.inputs = {44, 45, 46},
.outputs = {9},
},
{
.type = OperationType::ADD,
.inputs = {47, 48, 49},
.outputs = {10},
},
{
.type = OperationType::ADD,
.inputs = {50, 51, 52},
.outputs = {11},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {17, 20, 23, 26, 29, 32, 35, 38, 41, 44, 47, 50};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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_inputs_as_internal_dynamic_output_shape_5(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_6() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_6(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_dynamic_output_shape_6() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_dynamic_output_shape_6(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_all_inputs_as_internal_6() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.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 = 78, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 82, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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 = 86, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 90, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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 = 94, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 98, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::ADD,
.inputs = {44, 45, 46},
.outputs = {9},
},
{
.type = OperationType::ADD,
.inputs = {47, 48, 49},
.outputs = {10},
},
{
.type = OperationType::ADD,
.inputs = {50, 51, 52},
.outputs = {11},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {17, 20, 23, 26, 29, 32, 35, 38, 41, 44, 47, 50};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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, 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_inputs_as_internal_6(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_all_inputs_as_internal_dynamic_output_shape_6() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {0, 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 = {2, 16, 4},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.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 = 78, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 82, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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 = 86, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 90, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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 = 94, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 98, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::ADD,
.inputs = {44, 45, 46},
.outputs = {9},
},
{
.type = OperationType::ADD,
.inputs = {47, 48, 49},
.outputs = {10},
},
{
.type = OperationType::ADD,
.inputs = {50, 51, 52},
.outputs = {11},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {17, 20, 23, 26, 29, 32, 35, 38, 41, 44, 47, 50};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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, 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_inputs_as_internal_dynamic_output_shape_6(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_6() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_6(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_dynamic_output_shape_6() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_dynamic_output_shape_6(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_all_inputs_as_internal_6() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.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 = 78, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 82, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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 = 86, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 90, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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 = 94, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 98, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::ADD,
.inputs = {44, 45, 46},
.outputs = {9},
},
{
.type = OperationType::ADD,
.inputs = {47, 48, 49},
.outputs = {10},
},
{
.type = OperationType::ADD,
.inputs = {50, 51, 52},
.outputs = {11},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {17, 20, 23, 26, 29, 32, 35, 38, 41, 44, 47, 50};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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, 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_inputs_as_internal_6(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_relaxed_all_inputs_as_internal_dynamic_output_shape_6() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {0, 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 = {0, 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 = {2, 16, 4},
.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 = 6, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 10, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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 = 14, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 18, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 30, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 34, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 38, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 42, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {16, 16},
.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 = 54, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 58, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT32,
.dimensions = {2, 16},
.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 = 70, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 16, 4},
.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 = 78, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 82, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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 = 86, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 90, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {16, 4},
.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 = 94, .length = 4},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 98, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::ADD,
.inputs = {44, 45, 46},
.outputs = {9},
},
{
.type = OperationType::ADD,
.inputs = {47, 48, 49},
.outputs = {10},
},
{
.type = OperationType::ADD,
.inputs = {50, 51, 52},
.outputs = {11},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {17, 20, 23, 26, 29, 32, 35, 38, 41, 44, 47, 50};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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, 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_inputs_as_internal_dynamic_output_shape_6(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_6() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 16},
.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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_6(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_dynamic_output_shape_6() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0, 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 = {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::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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_dynamic_output_shape_6(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_all_inputs_as_internal_6() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 16},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 4},
.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 = 6, .length = 2},
},
{
.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_FLOAT16,
.dimensions = {16, 4},
.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 = 12, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 14, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 18, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 20, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 30, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 32, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.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 = 36, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 38, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 42, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 44, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 48, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 50, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 54, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 56, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 4},
.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 = 60, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 62, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.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 = 66, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 68, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.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 = 72, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::ADD,
.inputs = {44, 45, 46},
.outputs = {9},
},
{
.type = OperationType::ADD,
.inputs = {47, 48, 49},
.outputs = {10},
},
{
.type = OperationType::ADD,
.inputs = {50, 51, 52},
.outputs = {11},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {17, 20, 23, 26, 29, 32, 35, 38, 41, 44, 47, 50};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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_inputs_as_internal_6(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn
namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn {
Model createTestModel_float16_all_inputs_as_internal_dynamic_output_shape_6() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.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::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 4, .length = 1},
},
{
.type = OperandType::BOOL,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 5, .length = 1},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {0, 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 = {0, 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 = {2, 16, 4},
.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 = 6, .length = 2},
},
{
.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_FLOAT16,
.dimensions = {16, 4},
.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 = 12, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 14, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 18, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 20, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 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::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 30, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 32, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.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 = 36, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 38, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 16},
.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 = 42, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 44, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16},
.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 = 48, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 50, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16},
.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 = 54, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 56, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {2, 16, 4},
.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 = 60, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 62, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.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 = 66, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 68, .length = 4},
},
{
.type = OperandType::TENSOR_FLOAT16,
.dimensions = {16, 4},
.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 = 72, .length = 2},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
.location = {.poolIndex = 0, .offset = 74, .length = 4},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::ADD,
.inputs = {17, 18, 19},
.outputs = {0},
},
{
.type = OperationType::ADD,
.inputs = {20, 21, 22},
.outputs = {1},
},
{
.type = OperationType::ADD,
.inputs = {23, 24, 25},
.outputs = {2},
},
{
.type = OperationType::ADD,
.inputs = {26, 27, 28},
.outputs = {3},
},
{
.type = OperationType::ADD,
.inputs = {29, 30, 31},
.outputs = {4},
},
{
.type = OperationType::ADD,
.inputs = {32, 33, 34},
.outputs = {5},
},
{
.type = OperationType::ADD,
.inputs = {35, 36, 37},
.outputs = {6},
},
{
.type = OperationType::ADD,
.inputs = {38, 39, 40},
.outputs = {7},
},
{
.type = OperationType::ADD,
.inputs = {41, 42, 43},
.outputs = {8},
},
{
.type = OperationType::ADD,
.inputs = {44, 45, 46},
.outputs = {9},
},
{
.type = OperationType::ADD,
.inputs = {47, 48, 49},
.outputs = {10},
},
{
.type = OperationType::ADD,
.inputs = {50, 51, 52},
.outputs = {11},
},
{
.type = OperationType::BIDIRECTIONAL_SEQUENCE_RNN,
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14},
.outputs = {15, 16},
}
};
const std::vector<uint32_t> inputIndexes = {17, 20, 23, 26, 29, 32, 35, 38, 41, 44, 47, 50};
const std::vector<uint32_t> outputIndexes = {15, 16};
std::vector<uint8_t> operandValues = {
1, 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, 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, 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_inputs_as_internal_dynamic_output_shape_6(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace android::hardware::neuralnetworks::V1_2::generated_tests::bidirectional_sequence_rnn