blob: 1b8858be3f7f7d5c5f4a1808d57378eb4ec5ffe4 [file] [log] [blame]
// Generated from argmin_b155660285.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"
using namespace test_helper;
namespace generated_tests::argmin_b155660285 {
const TestModel& get_test_model() {
static TestModel model = {
.expectFailure = false,
.expectedMultinomialDistributionTolerance = 0,
.isRelaxed = false,
.main = {
.inputIndexes = {0},
.operands = {{ // op1
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({4.0f, 2.0f, 1.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.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
}, { // op2
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1},
.outputs = {2},
.type = TestOperationType::ARGMIN
}},
.outputIndexes = {2}
},
.minSupportedVersion = TestHalVersion::V1_2,
.referenced = {}
};
return model;
}
const auto dummy_test_model = TestModelManager::get().add("argmin_b155660285", get_test_model());
} // namespace generated_tests::argmin_b155660285
namespace generated_tests::argmin_b155660285 {
const TestModel& get_test_model_all_inputs_as_internal() {
static TestModel model = {
.expectFailure = false,
.expectedMultinomialDistributionTolerance = 0,
.isRelaxed = false,
.main = {
.inputIndexes = {3},
.operands = {{ // op1
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.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
}, { // op2
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // op1_new
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({4.0f, 2.0f, 1.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, { // placeholder
.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
}, { // param1
.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 = {3, 4, 5},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1},
.outputs = {2},
.type = TestOperationType::ARGMIN
}},
.outputIndexes = {2}
},
.minSupportedVersion = TestHalVersion::V1_2,
.referenced = {}
};
return model;
}
const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add("argmin_b155660285_all_inputs_as_internal", get_test_model_all_inputs_as_internal());
} // namespace generated_tests::argmin_b155660285