blob: 056a510fbf70d1ca6701d24513c392529441e548 [file] [log] [blame]
// Generated from gather.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"
using namespace test_helper;
namespace generated_tests::gather {
const TestModel& get_test_model() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.7f, 0.8f, -2.0f, 0.2f}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_all_inputs_as_internal() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.7f, 0.8f, -2.0f, 0.2f}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_relaxed() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.7f, 0.8f, -2.0f, 0.2f}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_relaxed_all_inputs_as_internal() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.7f, 0.8f, -2.0f, 0.2f}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_quant8() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({123, 127, 128, 129}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({128, 129, 123, 127}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_quant8_all_inputs_as_internal() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({128, 129, 123, 127}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({123, 127, 128, 129}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({127}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_int32() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-2, 0, 1, 1}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 1, -2, 0}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_float16() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({-2.0f, 0.20000000298023224f, 0.699999988079071f, 0.800000011920929f}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.699999988079071f, 0.800000011920929f, -2.0f, 0.20000000298023224f}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_float16_all_inputs_as_internal() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.699999988079071f, 0.800000011920929f, -2.0f, 0.20000000298023224f}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({-2.0f, 0.20000000298023224f, 0.699999988079071f, 0.800000011920929f}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_2() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.7f, 0.8f}),
.dimensions = {1, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_all_inputs_as_internal_2() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.7f, 0.8f}),
.dimensions = {1, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_relaxed_2() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.7f, 0.8f}),
.dimensions = {1, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_relaxed_all_inputs_as_internal_2() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.7f, 0.8f}),
.dimensions = {1, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_quant8_2() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({123, 127, 128, 129}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({128, 129}),
.dimensions = {1, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_quant8_all_inputs_as_internal_2() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({128, 129}),
.dimensions = {1, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({123, 127, 128, 129}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({127}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_int32_2() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-2, 0, 1, 1}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 1}),
.dimensions = {1, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_float16_2() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({-2.0f, 0.20000000298023224f, 0.699999988079071f, 0.800000011920929f}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.699999988079071f, 0.800000011920929f}),
.dimensions = {1, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_float16_all_inputs_as_internal_2() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.699999988079071f, 0.800000011920929f}),
.dimensions = {1, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({-2.0f, 0.20000000298023224f, 0.699999988079071f, 0.800000011920929f}),
.dimensions = {2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_3() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({2.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_all_inputs_as_internal_3() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({2.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_relaxed_3() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({2.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_relaxed_all_inputs_as_internal_3() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({2.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_quant8_3() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({129, 131, 133}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({131}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_quant8_all_inputs_as_internal_3() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({131}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({129, 131, 133}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({127}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_int32_3() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 2, 3}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_float16_3() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({2.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_float16_all_inputs_as_internal_3() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({2.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_4() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({2.0f, 1.0f}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_all_inputs_as_internal_4() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({2.0f, 1.0f}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_relaxed_4() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({2.0f, 1.0f}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_relaxed_all_inputs_as_internal_4() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({2.0f, 1.0f}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_quant8_4() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({129, 131, 133}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({131, 129}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_quant8_all_inputs_as_internal_4() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({131, 129}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({129, 131, 133}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({127}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_int32_4() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 2, 3}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2, 1}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_float16_4() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({2.0f, 1.0f}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_float16_all_inputs_as_internal_4() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({2.0f, 1.0f}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_5() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f, -2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {2, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_all_inputs_as_internal_5() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f, -2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {2, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_relaxed_5() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f, -2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {2, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_relaxed_all_inputs_as_internal_5() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f, -2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {2, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_quant8_5() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({123, 127, 128, 129}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({123, 127, 128, 129, 123, 127, 128, 129}),
.dimensions = {2, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_quant8_all_inputs_as_internal_5() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({123, 127, 128, 129, 123, 127, 128, 129}),
.dimensions = {2, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({123, 127, 128, 129}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({127}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_int32_5() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-2, 0, 1, 1}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-2, 0, 1, 1, -2, 0, 1, 1}),
.dimensions = {2, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_float16_5() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({-2.0f, 0.20000000298023224f, 0.699999988079071f, 0.800000011920929f}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({-2.0f, 0.20000000298023224f, 0.699999988079071f, 0.800000011920929f, -2.0f, 0.20000000298023224f, 0.699999988079071f, 0.800000011920929f}),
.dimensions = {2, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_float16_all_inputs_as_internal_5() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({-2.0f, 0.20000000298023224f, 0.699999988079071f, 0.800000011920929f, -2.0f, 0.20000000298023224f, 0.699999988079071f, 0.800000011920929f}),
.dimensions = {2, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({-2.0f, 0.20000000298023224f, 0.699999988079071f, 0.800000011920929f}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_6() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {4, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 3}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.2f, 0.8f}),
.dimensions = {2, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_all_inputs_as_internal_6() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {4, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 3}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.2f, 0.8f}),
.dimensions = {2, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {4, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_relaxed_6() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {4, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 3}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.2f, 0.8f}),
.dimensions = {2, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_relaxed_all_inputs_as_internal_6() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {4, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 3}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.2f, 0.8f}),
.dimensions = {2, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-2.0f, 0.2f, 0.7f, 0.8f}),
.dimensions = {4, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_quant8_6() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({123, 127, 128, 129}),
.dimensions = {4, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 3}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({127, 129}),
.dimensions = {2, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_quant8_all_inputs_as_internal_6() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({}),
.dimensions = {4, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 3}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({127, 129}),
.dimensions = {2, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({123, 127, 128, 129}),
.dimensions = {4, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({127}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_int32_6() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-2, 0, 1, 1}),
.dimensions = {4, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 3}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 1}),
.dimensions = {2, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_float16_6() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({-2.0f, 0.20000000298023224f, 0.699999988079071f, 0.800000011920929f}),
.dimensions = {4, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 3}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.20000000298023224f, 0.800000011920929f}),
.dimensions = {2, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_float16_all_inputs_as_internal_6() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({}),
.dimensions = {4, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 3}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.20000000298023224f, 0.800000011920929f}),
.dimensions = {2, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({-2.0f, 0.20000000298023224f, 0.699999988079071f, 0.800000011920929f}),
.dimensions = {4, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_7() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({4.0f, 5.0f, 6.0f, 1.0f, 2.0f, 3.0f}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_all_inputs_as_internal_7() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({4.0f, 5.0f, 6.0f, 1.0f, 2.0f, 3.0f}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_relaxed_7() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({4.0f, 5.0f, 6.0f, 1.0f, 2.0f, 3.0f}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_relaxed_all_inputs_as_internal_7() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({4.0f, 5.0f, 6.0f, 1.0f, 2.0f, 3.0f}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_quant8_7() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({129, 131, 133, 135, 137, 139}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({135, 137, 139, 129, 131, 133}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_quant8_all_inputs_as_internal_7() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({135, 137, 139, 129, 131, 133}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({129, 131, 133, 135, 137, 139}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({127}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_int32_7() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 2, 3, 4, 5, 6}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({4, 5, 6, 1, 2, 3}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_float16_7() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({4.0f, 5.0f, 6.0f, 1.0f, 2.0f, 3.0f}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_float16_all_inputs_as_internal_7() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({4.0f, 5.0f, 6.0f, 1.0f, 2.0f, 3.0f}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_8() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({3.0f, 1.0f, 6.0f, 4.0f}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_all_inputs_as_internal_8() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({3.0f, 1.0f, 6.0f, 4.0f}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_relaxed_8() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({3.0f, 1.0f, 6.0f, 4.0f}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_relaxed_all_inputs_as_internal_8() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({3.0f, 1.0f, 6.0f, 4.0f}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_quant8_8() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({129, 131, 133, 135, 137, 139}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({133, 129, 139, 135}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_quant8_all_inputs_as_internal_8() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({133, 129, 139, 135}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({129, 131, 133, 135, 137, 139}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({127}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_int32_8() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 2, 3, 4, 5, 6}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({3, 1, 6, 4}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_float16_8() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({3.0f, 1.0f, 6.0f, 4.0f}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather
namespace generated_tests::gather {
const TestModel& get_test_model_float16_all_inputs_as_internal_8() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2, 0}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({3.0f, 1.0f, 6.0f, 4.0f}),
.dimensions = {1, 2, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}),
.dimensions = {1, 2, 3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::GATHER
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::gather