blob: 052461d6d6bae338d33a02461e4fff8801fdb7d1 [file] [log] [blame]
// clang-format off
// Generated file (from: heatmap_max_keypoint.mod.py). Do not edit
// Create the model
Model createTestModel() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {6, 4, 4, 1},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {6, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {6, 1, 3},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::HEATMAP_MAX_KEYPOINT,
.inputs = {0, 1},
.outputs = {2},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1};
const std::vector<uint32_t> outputIndexes = {2};
std::vector<uint8_t> operandValues = {};
const std::vector<hidl_memory> pools = {};
return {
.operands = operands,
.operations = operations,
.inputIndexes = inputIndexes,
.outputIndexes = outputIndexes,
.operandValues = operandValues,
.pools = pools,
};
}
bool is_ignored(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
// Create the model
Model createTestModel_relaxed() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {6, 4, 4, 1},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {6, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {6, 1, 3},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::HEATMAP_MAX_KEYPOINT,
.inputs = {0, 1},
.outputs = {2},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1};
const std::vector<uint32_t> outputIndexes = {2};
std::vector<uint8_t> operandValues = {};
const std::vector<hidl_memory> pools = {};
return {
.operands = operands,
.operations = operations,
.inputIndexes = inputIndexes,
.outputIndexes = outputIndexes,
.operandValues = operandValues,
.pools = pools,
.relaxComputationFloat32toFloat16 = true,
};
}
bool is_ignored_relaxed(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
// Create the model
Model createTestModel_2() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 4, 4, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 4, 3},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::HEATMAP_MAX_KEYPOINT,
.inputs = {0, 1},
.outputs = {2},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1};
const std::vector<uint32_t> outputIndexes = {2};
std::vector<uint8_t> operandValues = {};
const std::vector<hidl_memory> pools = {};
return {
.operands = operands,
.operations = operations,
.inputIndexes = inputIndexes,
.outputIndexes = outputIndexes,
.operandValues = operandValues,
.pools = pools,
};
}
bool is_ignored_2(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
// Create the model
Model createTestModel_relaxed_2() {
const std::vector<Operand> operands = {
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 4, 4, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_INPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {2, 4, 3},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::MODEL_OUTPUT,
.location = {.poolIndex = 0, .offset = 0, .length = 0},
}
};
const std::vector<Operation> operations = {
{
.type = OperationType::HEATMAP_MAX_KEYPOINT,
.inputs = {0, 1},
.outputs = {2},
}
};
const std::vector<uint32_t> inputIndexes = {0, 1};
const std::vector<uint32_t> outputIndexes = {2};
std::vector<uint8_t> operandValues = {};
const std::vector<hidl_memory> pools = {};
return {
.operands = operands,
.operations = operations,
.inputIndexes = inputIndexes,
.outputIndexes = outputIndexes,
.operandValues = operandValues,
.pools = pools,
.relaxComputationFloat32toFloat16 = true,
};
}
bool is_ignored_relaxed_2(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}