blob: 86dde55c83d28be75d4c79fd17bfdacbc6e060a9 [file] [log] [blame]
// Generated from fully_connected_quant8_large_weights_as_inputs.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"
using namespace test_helper;
namespace generated_tests::fully_connected_quant8_large_weights_as_inputs {
const TestModel& get_test_model() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0, 1, 2},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({10, 10, 10, 10, 10}),
.dimensions = {1, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.2f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({10, 20, 20, 20, 10}),
.dimensions = {1, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.2f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({10}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.04f,
.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>({32}),
.dimensions = {1, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 1.0f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2, 3},
.outputs = {4},
.type = TestOperationType::FULLY_CONNECTED
}},
.outputIndexes = {4}
};
return model;
}
} // namespace generated_tests::fully_connected_quant8_large_weights_as_inputs
namespace generated_tests::fully_connected_quant8_large_weights_as_inputs {
const TestModel& get_test_model_all_inputs_as_internal() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {2, 5, 8},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({}),
.dimensions = {1, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.2f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({}),
.dimensions = {1, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.2f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({10}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.04f,
.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>({32}),
.dimensions = {1, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 1.0f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({10, 10, 10, 10, 10}),
.dimensions = {1, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.2f,
.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 = 0.2f,
.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
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({10, 20, 20, 20, 10}),
.dimensions = {1, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.2f,
.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 = 0.2f,
.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 = {0},
.type = TestOperationType::ADD
}, {
.inputs = {8, 9, 10},
.outputs = {1},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2, 3},
.outputs = {4},
.type = TestOperationType::FULLY_CONNECTED
}},
.outputIndexes = {4}
};
return model;
}
} // namespace generated_tests::fully_connected_quant8_large_weights_as_inputs