blob: 75f09c6418c3e6523a88318f5332339c04f9de94 [file] [log] [blame]
// Generated from hashtable_lookup_quant8.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"
using namespace test_helper;
namespace generated_tests::hashtable_lookup_quant8 {
const TestModel& get_test_model() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0, 1, 2},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({123, 250, 255, 0}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 123, 255}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({0, 1, 10, 11, 20, 21}),
.dimensions = {3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({10, 11, 0, 0, 20, 21, 0, 1}),
.dimensions = {4, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({1, 0, 1, 1}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 1.0f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3, 4},
.type = TestOperationType::HASHTABLE_LOOKUP
}},
.outputIndexes = {3, 4}
};
return model;
}
} // namespace generated_tests::hashtable_lookup_quant8
namespace generated_tests::hashtable_lookup_quant8 {
const TestModel& get_test_model_all_inputs_as_internal() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0, 1, 5},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({123, 250, 255, 0}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 123, 255}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({}),
.dimensions = {3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({10, 11, 0, 0, 20, 21, 0, 1}),
.dimensions = {4, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({1, 0, 1, 1}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 1.0f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({0, 1, 10, 11, 20, 21}),
.dimensions = {3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({0}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.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 = {5, 6, 7},
.outputs = {2},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3, 4},
.type = TestOperationType::HASHTABLE_LOOKUP
}},
.outputIndexes = {3, 4}
};
return model;
}
} // namespace generated_tests::hashtable_lookup_quant8