blob: 8240c23808a13394b11e7ae3f546175a8b6fce6e [file] [log] [blame]
// Generated from pad_v2_low_rank_quant8.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"
using namespace test_helper;
namespace generated_tests::pad_v2_low_rank_quant8 {
const TestModel& get_test_model() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({1, 2, 3}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 2.3f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 4
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({3, 1}),
.dimensions = {1, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({9}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({9, 9, 9, 1, 2, 3, 9}),
.dimensions = {7},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 2.3f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 4
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::PAD_V2
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::pad_v2_low_rank_quant8
namespace generated_tests::pad_v2_low_rank_quant8 {
const TestModel& get_test_model_all_inputs_as_internal() {
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 = 2.3f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 4
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({3, 1}),
.dimensions = {1, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({9}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({9, 9, 9, 1, 2, 3, 9}),
.dimensions = {7},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 2.3f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 4
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({1, 2, 3}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 2.3f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 4
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({4}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 2.3f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 4
}, {
.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::PAD_V2
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::pad_v2_low_rank_quant8
namespace generated_tests::pad_v2_low_rank_quant8 {
const TestModel& get_test_model_all_tensors_as_inputs() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0, 1},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({1, 2, 3}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 2.3f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 4
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({3, 1}),
.dimensions = {1, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({9}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({9, 9, 9, 1, 2, 3, 9}),
.dimensions = {7},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 2.3f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 4
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::PAD_V2
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::pad_v2_low_rank_quant8
namespace generated_tests::pad_v2_low_rank_quant8 {
const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {1, 4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 2.3f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 4
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({3, 1}),
.dimensions = {1, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({9}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({9, 9, 9, 1, 2, 3, 9}),
.dimensions = {7},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 2.3f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 4
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({1, 2, 3}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 2.3f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 4
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({4}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 2.3f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 4
}, {
.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::PAD_V2
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::pad_v2_low_rank_quant8