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// Generated from lsh_projection_2_relaxed.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"
using namespace test_helper;
namespace generated_tests::lsh_projection_2_relaxed {
const TestModel& get_test_model() {
static TestModel model = {
.expectFailure = false,
.expectedMultinomialDistributionTolerance = 0,
.isRelaxed = true,
.main = {
.inputIndexes = {1, 2},
.operands = {{ // hash
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.123f, 0.456f, -0.321f, -0.654f, 1.234f, 5.678f, -4.321f, -8.765f}),
.dimensions = {4, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, { // lookup
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({12345, 54321, 67890, 9876, -12345678, -87654321}),
.dimensions = {3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // weight
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, { // type_param
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, { // output
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 2, 2, 0}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2, 3},
.outputs = {4},
.type = TestOperationType::LSH_PROJECTION
}},
.outputIndexes = {4}
},
.minSupportedVersion = TestHalVersion::UNKNOWN,
.referenced = {}
};
return model;
}
const auto dummy_test_model = TestModelManager::get().add("lsh_projection_2_relaxed", get_test_model());
} // namespace generated_tests::lsh_projection_2_relaxed
namespace generated_tests::lsh_projection_2_relaxed {
const TestModel& get_test_model_all_tensors_as_inputs() {
static TestModel model = {
.expectFailure = false,
.expectedMultinomialDistributionTolerance = 0,
.isRelaxed = true,
.main = {
.inputIndexes = {0, 1, 2},
.operands = {{ // hash
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.123f, 0.456f, -0.321f, -0.654f, 1.234f, 5.678f, -4.321f, -8.765f}),
.dimensions = {4, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, { // lookup
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({12345, 54321, 67890, 9876, -12345678, -87654321}),
.dimensions = {3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // weight
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, { // type_param
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, { // output
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 2, 2, 0}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2, 3},
.outputs = {4},
.type = TestOperationType::LSH_PROJECTION
}},
.outputIndexes = {4}
},
.minSupportedVersion = TestHalVersion::UNKNOWN,
.referenced = {}
};
return model;
}
const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("lsh_projection_2_relaxed_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs());
} // namespace generated_tests::lsh_projection_2_relaxed
namespace generated_tests::lsh_projection_2_relaxed {
const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() {
static TestModel model = {
.expectFailure = false,
.expectedMultinomialDistributionTolerance = 0,
.isRelaxed = true,
.main = {
.inputIndexes = {1, 2, 5},
.operands = {{ // hash
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {4, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, { // lookup
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({12345, 54321, 67890, 9876, -12345678, -87654321}),
.dimensions = {3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // weight
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, { // type_param
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, { // output
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 2, 2, 0}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // hash_new
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.123f, 0.456f, -0.321f, -0.654f, 1.234f, 5.678f, -4.321f, -8.765f}),
.dimensions = {4, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, { // dummy
.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
}, { // param
.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 = {0, 1, 2, 3},
.outputs = {4},
.type = TestOperationType::LSH_PROJECTION
}},
.outputIndexes = {4}
},
.minSupportedVersion = TestHalVersion::UNKNOWN,
.referenced = {}
};
return model;
}
const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("lsh_projection_2_relaxed_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal());
} // namespace generated_tests::lsh_projection_2_relaxed
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