Merge pull request !752 from 张毅辉/zyh_mindinsight_profiler_st_6tags/v1.1.0
| @@ -0,0 +1,78 @@ | |||
| # Copyright 2020 Huawei Technologies Co., Ltd | |||
| # | |||
| # Licensed under the Apache License, Version 2.0 (the "License"); | |||
| # you may not use this file except in compliance with the License. | |||
| # You may obtain a copy of the License at | |||
| # | |||
| # http://www.apache.org/licenses/LICENSE-2.0 | |||
| # | |||
| # Unless required by applicable law or agreed to in writing, software | |||
| # distributed under the License is distributed on an "AS IS" BASIS, | |||
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |||
| # See the License for the specific language governing permissions and | |||
| # limitations under the License. | |||
| # ============================================================================ | |||
| """ | |||
| Fuction: | |||
| Test profiler to watch the performance of training. | |||
| Usage: | |||
| pytest tests/st/func/profiler | |||
| """ | |||
| import os | |||
| import pytest | |||
| from mindinsight.profiler.analyser.analyser_factory import AnalyserFactory | |||
| from tests.st.func.profiler.conftest import BASE_SUMMARY_DIR_RUN_2 | |||
| class TestAicpuAnalyser: | |||
| """Test AICPU analyser module.""" | |||
| @classmethod | |||
| def setup_class(cls): | |||
| """Generate parsed files.""" | |||
| cls.summary_dir = os.path.join(BASE_SUMMARY_DIR_RUN_2, 'normal_run') | |||
| cls.profiler = os.path.join(cls.summary_dir, 'profiler') | |||
| def setup_method(self): | |||
| """Create analyser.""" | |||
| self._analyser_aicpu_type = AnalyserFactory.instance().get_analyser( | |||
| 'aicpu_type', self.profiler, '1') | |||
| self._analyser_aicpu_detail = AnalyserFactory.instance().get_analyser( | |||
| 'aicpu_detail', self.profiler, '1') | |||
| @pytest.mark.level0 | |||
| @pytest.mark.env_single | |||
| @pytest.mark.platform_x86_cpu | |||
| @pytest.mark.platform_arm_ascend_training | |||
| @pytest.mark.platform_x86_gpu_training | |||
| @pytest.mark.platform_x86_ascend_training | |||
| def test_query_aicpu_type(self): | |||
| """Test the function of querying AICPU operator type infomation.""" | |||
| expect_result = { | |||
| 'col_name': ['op_type', 'execution_time', 'execution_frequency', 'percent'], | |||
| 'object': [ | |||
| ['InitData', 7.906, 1, 89.84], | |||
| ['GetNext', 0.5905, 2, 6.71], | |||
| ['EndOfSequence', 0.3035, 2, 3.45] | |||
| ], | |||
| 'size': 3 | |||
| } | |||
| result = self._analyser_aicpu_type.query() | |||
| assert expect_result == result | |||
| @pytest.mark.level0 | |||
| @pytest.mark.env_single | |||
| @pytest.mark.platform_x86_cpu | |||
| @pytest.mark.platform_arm_ascend_training | |||
| @pytest.mark.platform_x86_gpu_training | |||
| @pytest.mark.platform_x86_ascend_training | |||
| def test_query_aicpu_detail(self): | |||
| """Test the function of querying AICPU operator type infomation.""" | |||
| expect_result = { | |||
| 'col_name': ['serial_number', 'op_type', 'total_time', | |||
| 'dispatch_time', 'run_start', 'run_end'], | |||
| 'size': 5 | |||
| } | |||
| result = self._analyser_aicpu_detail.query() | |||
| del result["object"] | |||
| assert expect_result == result | |||
| @@ -0,0 +1,78 @@ | |||
| # Copyright 2020 Huawei Technologies Co., Ltd | |||
| # | |||
| # Licensed under the Apache License, Version 2.0 (the "License"); | |||
| # you may not use this file except in compliance with the License. | |||
| # You may obtain a copy of the License at | |||
| # | |||
| # http://www.apache.org/licenses/LICENSE-2.0 | |||
| # | |||
| # Unless required by applicable law or agreed to in writing, software | |||
| # distributed under the License is distributed on an "AS IS" BASIS, | |||
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |||
| # See the License for the specific language governing permissions and | |||
| # limitations under the License. | |||
| # ============================================================================ | |||
| """ | |||
| Fuction: | |||
| Test profiler to watch the performance of training. | |||
| Usage: | |||
| pytest tests/ut/func/profiler | |||
| """ | |||
| import os | |||
| from mindinsight.profiler.analyser.analyser_factory import AnalyserFactory | |||
| from tests.ut.profiler import BASE_SUMMARY_DIR | |||
| class TestAicpuAnalyser: | |||
| """Test AICPU analyser module.""" | |||
| @classmethod | |||
| def setup_class(cls): | |||
| """Generate parsed files.""" | |||
| cls.summary_dir = os.path.join(BASE_SUMMARY_DIR, 'normal_run') | |||
| cls.profiler = os.path.join(cls.summary_dir, 'profiler') | |||
| def setup_method(self): | |||
| """Create analyser.""" | |||
| self._analyser_aicpu_type = AnalyserFactory.instance().get_analyser( | |||
| 'aicpu_type', self.profiler, '1') | |||
| self._analyser_aicpu_detail = AnalyserFactory.instance().get_analyser( | |||
| 'aicpu_detail', self.profiler, '1') | |||
| def test_query_aicpu_type(self): | |||
| """Test the function of querying AICPU operator type infomation.""" | |||
| expect_result = { | |||
| 'col_name': ['op_type', 'execution_time', 'execution_frequency', 'percent'], | |||
| 'object': [ | |||
| ['InitData', 7.906, 1, 89.84], | |||
| ], | |||
| 'size': 1 | |||
| } | |||
| condition = { | |||
| 'filter_condition': { | |||
| 'op_type': { | |||
| 'partial_match_str_in': ['init'] | |||
| } | |||
| } | |||
| } | |||
| result = self._analyser_aicpu_type.query(condition) | |||
| assert expect_result == result | |||
| def test_query_aicpu_detail(self): | |||
| """Test the function of querying AICPU operator detail infomation.""" | |||
| expect_result = { | |||
| 'col_name': ['serial_number', 'op_type', 'total_time', | |||
| 'dispatch_time', 'run_start', 'run_end'], | |||
| 'size': 2 | |||
| } | |||
| condition = { | |||
| 'filter_condition': { | |||
| 'op_type': { | |||
| 'partial_match_str_in': ['get'] | |||
| } | |||
| } | |||
| } | |||
| result = self._analyser_aicpu_detail.query(condition) | |||
| del result["object"] | |||
| assert expect_result == result | |||
| @@ -19,8 +19,10 @@ Usage: | |||
| pytest tests/ut/profiler | |||
| """ | |||
| import os | |||
| import pytest | |||
| from mindinsight.profiler.analyser.analyser_factory import AnalyserFactory | |||
| from mindinsight.profiler.common.exceptions.exceptions import StepNumNotSupportedException | |||
| from tests.ut.profiler import BASE_SUMMARY_DIR | |||
| @@ -80,3 +82,12 @@ class TestTrainingTraceAnalyser: | |||
| 'proc_name': proc_name | |||
| }}) | |||
| assert expect_result == result | |||
| def test_analyse_get_training_trace_graph_with_wrong_id(self): | |||
| with pytest.raises(StepNumNotSupportedException) as exc: | |||
| self._analyser.query({ | |||
| 'filter_condition': { | |||
| 'mode': 'step', | |||
| 'step_id': 10 | |||
| }}) | |||
| assert exc.value.message == 'The step num must be in [0, 1]' | |||