forked from huawei/mindspore2022
91 lines
2.7 KiB
C++
91 lines
2.7 KiB
C++
/**
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* Copyright 2022 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include <iostream>
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#include <memory>
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#include "common/common_test.h"
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#include "utils/log_adapter.h"
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#include "pipeline/jit/action.h"
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#include "pipeline/jit/pipeline.h"
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namespace mindspore {
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namespace pipeline {
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class TestGraphExecutor : public UT::Common {
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public:
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TestGraphExecutor() {}
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};
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/// Feature: Test jit_config
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/// Description: Test set jit_level = o0
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/// Expectation: success
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TEST_F(TestGraphExecutor, test_jit_config_with_jit_level_equal_o0) {
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py::dict obj = python_adapter::CallPyFn("gtest_input.pipeline.graph_executor_test", "get_jit_config_o0");
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pipeline::GraphExecutorPy::GetInstance()->SetJitConfig(obj);
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auto jit_level = pipeline::GetJitLevel();
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ASSERT_TRUE(jit_level == "o0");
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auto actions = GePipeline();
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bool ret = false;
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for (auto action : actions) {
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if (action.first == "combine_like_graphs") {
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ret = true;
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}
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}
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ASSERT_TRUE(ret == false);
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}
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/// Feature: Test jit_config
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/// Description: Test set jit_level = o1
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/// Expectation: success
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TEST_F(TestGraphExecutor, test_jit_config_with_jit_level_equal_o1) {
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py::dict obj = python_adapter::CallPyFn("gtest_input.pipeline.graph_executor_test", "get_jit_config_o1");
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pipeline::GraphExecutorPy::GetInstance()->SetJitConfig(obj);
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auto jit_level = pipeline::GetJitLevel();
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ASSERT_TRUE(jit_level == "o1");
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auto actions = GePipeline();
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bool ret = false;
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for (auto action : actions) {
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if (action.first == "combine_like_graphs") {
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ret = true;
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}
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}
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ASSERT_TRUE(ret == true);
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}
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/// Feature: Test jit_config
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/// Description: Test jit_level with unused config
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/// Expectation: success
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TEST_F(TestGraphExecutor, test_jit_config_with_unused_config) {
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py::dict obj = python_adapter::CallPyFn("gtest_input.pipeline.graph_executor_test", "get_unused_config");
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pipeline::GraphExecutorPy::GetInstance()->SetJitConfig(obj);
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auto jit_level = pipeline::GetJitLevel();
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ASSERT_TRUE(jit_level == "");
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auto actions = GePipeline();
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bool ret = false;
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for (auto action : actions) {
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if (action.first == "combine_like_graphs") {
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ret = true;
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}
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}
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ASSERT_TRUE(ret == true);
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}
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} // namespace pipeline
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} // namespace mindspore
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