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// Generated from strided_slice_float_6.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"
using namespace test_helper;
namespace generated_tests::strided_slice_float_6 {
const TestModel& get_test_model() {
static TestModel model = {
.expectFailure = false,
.expectedMultinomialDistributionTolerance = 0,
.isRelaxed = false,
.main = {
.inputIndexes = {0},
.operands = {{ // input
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, { // begins
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // ends
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({3}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // strides
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // beginMask
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, { // endMask
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, { // shrinkAxisMask
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, { // output
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({2.0f, 3.0f, 4.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2, 3, 4, 5, 6},
.outputs = {7},
.type = TestOperationType::STRIDED_SLICE
}},
.outputIndexes = {7}
},
.minSupportedVersion = TestHalVersion::V1_1,
.referenced = {}
};
return model;
}
const auto dummy_test_model = TestModelManager::get().add("strided_slice_float_6", get_test_model());
} // namespace generated_tests::strided_slice_float_6
namespace generated_tests::strided_slice_float_6 {
const TestModel& get_test_model_all_inputs_as_internal() {
static TestModel model = {
.expectFailure = false,
.expectedMultinomialDistributionTolerance = 0,
.isRelaxed = false,
.main = {
.inputIndexes = {8},
.operands = {{ // input
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, { // begins
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // ends
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({3}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // strides
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // beginMask
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, { // endMask
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, { // shrinkAxisMask
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, { // output
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({2.0f, 3.0f, 4.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, { // input_new
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1.0f, 2.0f, 3.0f, 4.0f}),
.dimensions = {4},
.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 = {8, 9, 10},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2, 3, 4, 5, 6},
.outputs = {7},
.type = TestOperationType::STRIDED_SLICE
}},
.outputIndexes = {7}
},
.minSupportedVersion = TestHalVersion::V1_1,
.referenced = {}
};
return model;
}
const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add("strided_slice_float_6_all_inputs_as_internal", get_test_model_all_inputs_as_internal());
} // namespace generated_tests::strided_slice_float_6
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