blob: 620d70d99472cc4a4e9814ed679e18238b0a494d [file] [log] [blame]
// Generated from mean_quant8_1.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"
using namespace test_helper;
namespace generated_tests::mean_quant8_1 {
const TestModel& get_test_model() {
static TestModel model = {
.expectFailure = false,
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.minSupportedVersion = TestHalVersion::V1_1,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.8f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 5
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0, -3, -3}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.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<uint8_t>({12, 13}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.8f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 5
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::MEAN
}},
.outputIndexes = {3}
};
return model;
}
const auto dummy_test_model = TestModelManager::get().add("mean_quant8_1", get_test_model());
} // namespace generated_tests::mean_quant8_1
namespace generated_tests::mean_quant8_1 {
const TestModel& get_test_model_all_inputs_as_internal() {
static TestModel model = {
.expectFailure = false,
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.minSupportedVersion = TestHalVersion::V1_1,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.8f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 5
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0, -3, -3}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.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<uint8_t>({12, 13}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.8f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 5
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.8f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 5
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({5}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.8f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 5
}, {
.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::MEAN
}},
.outputIndexes = {3}
};
return model;
}
const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add("mean_quant8_1_all_inputs_as_internal", get_test_model_all_inputs_as_internal());
} // namespace generated_tests::mean_quant8_1