!729 Supplement profiler st test code

Merge pull request !729 from 张毅辉/zyh_mindinsight_profiler_st

tests/st/func/profiler/conftest.py

@@ -23,3 +23,10 @@ from tests.utils import mindspore
 sys.modules['mindspore'] = mindspore
 
 BASE_SUMMARY_DIR = os.path.realpath(os.path.join(RAW_DATA_BASE, "run_1"))
+# Notice:
+# 1. Run_2 is new performance data.
+# 2. The names of some files have been changed. \
+#    For example, timeline_display_1.json becomes ascend_timeline_display_1.json.
+# 3. Some new files have been added. For example, aicpu_intermediate_1.csv.
+# 4. It is recommended that the new mindinsight st ut test be based on this version of the performance file.
+BASE_SUMMARY_DIR_RUN_2 = os.path.realpath(os.path.join(RAW_DATA_BASE, "run_2"))

tests/st/func/profiler/test_minddata_analyse.py

@@ -0,0 +1,112 @@
+# 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.minddata_analyser import MinddataAnalyser
+from mindinsight.profiler.analyser.analyser_factory import AnalyserFactory
+
+from .conftest import BASE_SUMMARY_DIR_RUN_2
+
+
+class TestMinddataAnalyser:
+    """Test minddata  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 = AnalyserFactory.instance().get_analyser(
+            'minddata', 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_analyse_queue_summary(self):
+        """Test analysing the queue summary info."""
+        expect_result = {
+            "data_process": {"status": "normal"},
+            "device_queue_info": {"summary": {"empty_batch_count": 1, "full_batch_count": 0, "total_batch": 1}},
+            "device_queue_op": {"status": "normal"},
+            "get_next": {"status": "normal"},
+            "get_next_queue_info": {"summary": {"empty_batch_count": 0, "total_batch": 3}},
+            "tdt": {"status": "normal"}
+        }
+
+        get_next_queue_info, _ = self._analyser.analyse_get_next_info(info_type="queue")
+        device_queue_info, _ = self._analyser.analyse_device_queue_info(info_type="queue")
+        result = MinddataAnalyser.analyse_queue_summary(get_next_queue_info, device_queue_info)
+        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_analyse_get_next_info(self):
+        """Test analysing the get_next operation info for info_type="time" """
+        expect_result = {
+            "info": {"get_next": [0.001, 0, 0.001]},
+            "size": 3,
+            "summary": {"time_summary": {"avg_cost": "0.0006666666666666666"}}
+        }
+
+        time_info = {
+            "size": 0,
+            "info": [],
+            "summary": {"time_summary": {}},
+            "advise": {}
+        }
+
+        _, time_info = self._analyser.analyse_get_next_info(info_type="time")
+        assert expect_result == time_info
+
+    @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_analyse_device_queue_info(self):
+        """Test analysing the device_queue operation info for info_type="time" """
+        expect_result = {
+            "info": {"total_cost": [4], "push_cost": [4], "get_cost": [0]},
+            "size": 1,
+            "summary": {"time_summary": {"avg_cost": 4, "get_cost": 0, "push_cost": 4}}
+        }
+
+        time_info = {
+            "size": 0,
+            "info": [],
+            "summary": {"time_summary": {}},
+            "advise": {}
+        }
+
+        _, time_info = self._analyser.analyse_device_queue_info(info_type="time")
+        assert expect_result == time_info

tests/st/func/profiler/test_proposer_analyser.py

@@ -0,0 +1,63 @@
+# 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.
+# ============================================================================
+"""
+Function:
+    Test profiler to watch the performance of training.
+Usage:
+    pytest tests/st/func/profiler
+"""
+import os
+import pytest
+
+from mindinsight.profiler.proposer.compose_proposer import ComposeProposal
+
+from .conftest import BASE_SUMMARY_DIR_RUN_2
+
+
+class TestProposerAnalyser:
+    """Test minddata  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')
+
+    @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_analyser_proposal(self):
+        """Test the function of querying the proposals from multiple different proposers"""
+        expect_result = {
+            "minddata_device_queue": [1, 1, 0, 1],
+            "minddata_get_next_queue": [0, 3],
+            "minddata_pipeline-dataset_op": ["ImageFolderOp_3"],
+            "minddata_pipeline-general": ["ImageFolderOp_3"]
+        }
+
+        step_trace_condition = {"filter_condition": {"mode": "proc",
+                                                     "proc_name": "iteration_interval",
+                                                     "step_id": 0}}
+        options = {'step_trace': {"iter_interval": step_trace_condition}}
+        proposal_type_list = ['step_trace', 'minddata', 'minddata_pipeline', 'common']
+        proposal_obj = ComposeProposal(self.profiler, '1', proposal_type_list)
+        proposal_info = proposal_obj.get_proposal(options)
+        assert expect_result["minddata_device_queue"] == proposal_info["minddata_device_queue"]
+        assert expect_result["minddata_get_next_queue"] == proposal_info["minddata_get_next_queue"]
+        assert expect_result["minddata_pipeline-dataset_op"] == proposal_info["minddata_pipeline-dataset_op"]
+        assert expect_result["minddata_pipeline-general"] == proposal_info["minddata_pipeline-general"]

tests/ut/profiler/__init__.py

@@ -19,3 +19,4 @@ RAW_DATA_BASE = os.path.realpath(os.path.join(os.path.dirname(__file__), '../../
 RAW_DATA = os.path.realpath(os.path.join(RAW_DATA_BASE, 'JOB1'))
 RAW_DATA_JOB2 = os.path.realpath(os.path.join(RAW_DATA_BASE, 'JOB2'))
 PROFILER_DIR = os.path.realpath(os.path.join(RAW_DATA_BASE, 'profiler'))
+BASE_SUMMARY_DIR = os.path.realpath(os.path.join(RAW_DATA_BASE, "run_2"))

tests/ut/profiler/analyser/test_minddata_analyse.py

@@ -0,0 +1,57 @@
+# 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.
+# ============================================================================
+"""
+Function:
+    Test profiler to watch the performance of training.
+Usage:
+    pytest tests/ut/profiler
+"""
+import os
+from unittest import TestCase
+
+from mindinsight.profiler.analyser.analyser_factory import AnalyserFactory
+
+from ...profiler import BASE_SUMMARY_DIR
+
+
+class TestMinddataAnalyser(TestCase):
+    """Test minddata  analyser module."""
+
+    def setUp(self) -> None:
+        """Initialization before test case execution."""
+        self.summary_dir = os.path.join(BASE_SUMMARY_DIR, "normal_run")
+        self.profiler = os.path.join(self.summary_dir, "profiler")
+        self._analyser = AnalyserFactory.instance().get_analyser(
+            'minddata', self.profiler, '1')
+
+    def test_analyse_get_next_info_queue(self):
+        """Test analysing the get_next operation info for info_type="queue" """
+        expect_result = {
+            "info": {"queue": [3, 2, 1]},
+            "size": 3,
+            "summary": {"queue_summary": {"empty_queue": 0}}
+        }
+        result, _ = self._analyser.analyse_get_next_info(info_type="queue")
+        self.assertDictEqual(expect_result, result)
+
+    def test_analyse_device_queue_info_queue(self):
+        """Test analysing the device_queue operation info for info_type="queue" """
+        expect_result = {
+            "info": {"queue": [0]},
+            "size": 1,
+            "summary": {"queue_summary": {"empty_queue": 1, "full_queue": 0}}
+        }
+        result, _ = self._analyser.analyse_device_queue_info(info_type="queue")
+        self.assertDictEqual(expect_result, result)

tests/utils/resource/run_2/normal_run/profiler/aicore_intermediate_1_detail.csv

@@ -0,0 +1,106 @@
+full_op_name,execution_time
+Default/AssignAdd-op142,0.00219
+Default/TransData-op118,0.047035
+Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/OneHot-op3,0.00176
+Default/network-TrainOneStepCell/optimizer-Momentum/learning_rate-_IteratorLearningRate/GatherV2-op32,0.00153
+Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op31,0.00125
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Cast-op91,0.00804
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Cast-op110,0.00932
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Cast-op111,0.00773
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/Cast-op115,0.00696
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv3-Conv2d/Cast-op116,0.00781
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Cast-op117,0.00514
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Conv2D-op5,0.06913
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Cast-op108,0.00652
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op119,0.0094
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op98,0.00588
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/MaxPool-op7,0.00591
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/Conv2D-op8,0.02412
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/Cast-op109,0.00515
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op120,0.0067
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op99,0.00559
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/MaxPool-op10,0.00335
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv3-Conv2d/Conv2D-op11,0.16997
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv3-Conv2d/Cast-op106,0.00419
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op121,0.00624
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Cast-op95,0.0047
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Conv2D-op13,0.09617
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Cast-op107,0.00372
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op122,0.00626
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Cast-op97,0.00435
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Conv2D-op15,0.10168
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Cast-op114,0.00465
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op123,0.00468
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op112,0.00376
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/MaxPool-op17,0.00297
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op105,0.00399
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/TransData-op124,0.08231
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/MatMul-op19,9.17408
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLU-op21,0.00256
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/MatMul-op22,4.04837
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLU-op24,0.00221
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/MatMul-op25,0.00348
+Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/SoftmaxCrossEntropyWithLogits-op27,0.00364
+Default/AtomicAddrClean-op145,0.00128
+Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/ReduceMean-op87,0.00139
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/gradSoftmaxCrossEntropyWithLogits/Mul-op29,0.00132
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op37,0.00278
+Default/AtomicAddrClean-op146,0.00113
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradBiasAdd/BiasAddGrad-op30,0.00139
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op40,0.00247
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGrad-op41,0.00426
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op45,0.22636
+Default/AtomicAddrClean-op147,0.00143
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradBiasAdd/BiasAddGrad-op42,0.00182
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op48,2.61685
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGrad-op49,0.00424
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op53,0.33999
+Default/AtomicAddrClean-op148,0.00144
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradBiasAdd/BiasAddGrad-op50,0.00183
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op56,4.24336
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/flatten-Flatten/gradReshape/TransData-op125,0.06442
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op113,0.00313
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/MaxPoolGrad-op58,0.00567
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op104,0.0042
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op126,0.00532
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Cast-op96,0.00377
+Default/AtomicAddrClean-op149,0.00546
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Conv2DBackpropFilter-op60,0.01194
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Conv2DBackpropInput-op63,0.01106
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Cast-op103,0.00397
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op127,0.00526
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Cast-op94,0.0045
+Default/AtomicAddrClean-op150,0.00615
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Conv2DBackpropFilter-op65,0.01301
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Conv2DBackpropInput-op68,0.01392
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Cast-op102,0.00387
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op128,0.005
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Cast-op93,0.00438
+Default/AtomicAddrClean-op151,0.00506
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Conv2DBackpropFilter-op70,0.01246
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Conv2DBackpropInput-op73,0.02185
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/MaxPoolGrad-op74,0.01593
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op101,0.00524
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op129,0.00653
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/gradConv2D/Cast-op92,0.00546
+Default/AtomicAddrClean-op152,0.00523
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/gradConv2D/Conv2DBackpropFilter-op76,0.02361
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/gradConv2D/Conv2DBackpropInput-op79,0.03911
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/MaxPoolGrad-op80,0.03258
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op100,0.00633
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op130,0.00868
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/gradConv2D/Cast-op90,0.00574
+Default/AtomicAddrClean-op153,0.00294
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/gradConv2D/Conv2DBackpropFilter-op82,0.04572
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op38,0.00303
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op35,0.00162
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op46,0.34771
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op43,0.0028
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op54,0.78189
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op51,0.00276
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op61,0.02337
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op66,0.0318
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op71,0.02209
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op77,0.01652
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op83,0.00769
+Default/AssignAdd-op138,0.00148

tests/utils/resource/run_2/normal_run/profiler/aicore_intermediate_1_type.csv

@@ -0,0 +1,22 @@
+op_type,execution_time,execution_frequency,percent
+AssignAdd,0.00492,3,0.02
+TransData,0.193765,3,0.84
+OneHot,0.00176,1,0.01
+GatherV2,0.00153,1,0.01
+Cast,0.14809,28,0.64
+Conv2D,0.46107,5,2.00
+ReLUV2,0.03328,5,0.14
+MaxPool,0.01223,3,0.05
+MatMul,20.65774,9,89.47
+ReLU,0.00477,2,0.02
+SoftmaxCrossEntropyWithLogits,0.00364,1,0.02
+AtomicAddrClean,0.03012,9,0.13
+ReduceMean,0.00139,1,0.01
+Mul,0.00132,1,0.01
+BiasAddGrad,0.00504,3,0.02
+ReluGrad,0.00850,2,0.04
+MaxPoolGrad,0.05418,3,0.23
+ReluGradV2,0.03079,5,0.13
+Conv2DBackpropFilter,0.10674,5,0.46
+Conv2DBackpropInput,0.08594,4,0.37
+ApplyMomentum,1.24128,11,5.38

tests/utils/resource/run_2/normal_run/profiler/aicpu_intermediate_1.csv

@@ -0,0 +1,6 @@
+serial_number,op_type,total_time,dispatch_time,run_start,run_end
+1,InitData,7.906,0.15,154901853050,154901853210
+2,GetNext,0.888,0.132,154907895189,154907895707
+3,EndOfSequence,0.282,0.078,154907896287,154907896335
+4,GetNext,0.293,0.073,154907896880,154907896958
+5,EndOfSequence,0.325,0.091,154907920308,154907920348

tests/utils/resource/run_2/normal_run/profiler/ascend_timeline_summary_1.json

@@ -0,0 +1 @@
+{"total_time": 23147.013999999992, "num_of_streams": 2, "num_of_ops": 213, "op_exe_times": 112}

tests/utils/resource/run_2/normal_run/profiler/dataset_iterator_profiling_1.txt

@@ -0,0 +1 @@
+1 64 1 3

tests/utils/resource/run_2/normal_run/profiler/device_queue_profiling_1.txt

@@ -0,0 +1,4 @@
+0 1 1 4
+0 2 1 4
+0 0 1 0
+1 64 1 0

tests/utils/resource/run_2/normal_run/profiler/framework_raw_1.csv

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tests/utils/resource/run_2/normal_run/profiler/minddata_aicpu_1.txt

@@ -0,0 +1,3 @@
+GetNext_dequeue_wait 154907895305 154907895306 3
+GetNext_dequeue_wait 154907895614 154907895614 2
+GetNext_dequeue_wait 154907896920 154907896921 1

tests/utils/resource/run_2/normal_run/profiler/minddata_pipeline_raw_1.csv

@@ -0,0 +1,5 @@
+op_id,op_type,num_workers,output_queue_size,output_queue_average_size,output_queue_length,output_queue_usage_rate,sample_interval,parent_id,children_id
+0,BatchOp,4,"[0, 2]",1.0,64,0.015625,10,,[1]
+1,MapOp,8,"[0, 0]",0.0,128,0.0,10,0,[2]
+2,MapOp,8,"[0, 0]",0.0,128,0.0,10,1,[3]
+3,ImageFolderOp,8,"[0, 0]",0.0,128,0.0,10,2,

tests/utils/resource/run_2/normal_run/profiler/output_data_preprocess_aicpu_1.txt

@@ -0,0 +1,7 @@
+serial_number node_type_name total_time(ms) dispatch_time(ms) run_start run_end
+1 InitData 7.906 0.15 154901853050 154901853210
+2 GetNext 0.888 0.132 154907895189 154907895707
+3 EndOfSequence 0.282 0.078 154907896287 154907896335
+4 GetNext 0.293 0.073 154907896880 154907896958
+5 EndOfSequence 0.325 0.091 154907920308 154907920348
+AI CPU Total Time(ms): 9.694000

tests/utils/resource/run_2/normal_run/profiler/output_format_data_hwts_1.txt

@@ -0,0 +1,271 @@
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tests/utils/resource/run_2/normal_run/profiler/output_op_compute_time_1.txt

@@ -0,0 +1,109 @@
+====================op compute time====================
+op_name       compute_time(ms) stream_id
+------------  ---------------  ---------
+Default/AssignAdd-op142 0.00219  519
+Default/TransData-op118 0.047035  519
+Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/OneHot-op3 0.00176  519
+Default/network-TrainOneStepCell/optimizer-Momentum/learning_rate-_IteratorLearningRate/GatherV2-op32 0.00153  519
+Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op31 0.00125  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Cast-op91 0.00804  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Cast-op110 0.00932  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Cast-op111 0.00773  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/Cast-op115 0.00696  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv3-Conv2d/Cast-op116 0.00781  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Cast-op117 0.00514  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Conv2D-op5 0.06913  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Cast-op108 0.00652  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op119 0.0094  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op98 0.00588  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/MaxPool-op7 0.00591  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/Conv2D-op8 0.02412  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/Cast-op109 0.00515  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op120 0.0067  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op99 0.00559  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/MaxPool-op10 0.00335  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv3-Conv2d/Conv2D-op11 0.16997  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv3-Conv2d/Cast-op106 0.00419  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op121 0.00624  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Cast-op95 0.0047  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Conv2D-op13 0.09617  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Cast-op107 0.00372  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op122 0.00626  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Cast-op97 0.00435  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Conv2D-op15 0.10168  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Cast-op114 0.00465  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op123 0.00468  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op112 0.00376  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/MaxPool-op17 0.00297  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op105 0.00399  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/TransData-op124 0.08231  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/MatMul-op19 9.17408  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLU-op21 0.00256  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/MatMul-op22 4.04837  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLU-op24 0.00221  519
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/MatMul-op25 0.00348  519
+Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/SoftmaxCrossEntropyWithLogits-op27 0.00364  519
+Default/AtomicAddrClean-op145 0.00128  519
+Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/ReduceMean-op87 0.00139  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/gradSoftmaxCrossEntropyWithLogits/Mul-op29 0.00132  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op37 0.00278  519
+Default/AtomicAddrClean-op146 0.00113  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradBiasAdd/BiasAddGrad-op30 0.00139  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op40 0.00247  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGrad-op41 0.00426  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op45 0.22636  519
+Default/AtomicAddrClean-op147 0.00143  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradBiasAdd/BiasAddGrad-op42 0.00182  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op48 2.61685  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGrad-op49 0.00424  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op53 0.33999  519
+Default/AtomicAddrClean-op148 0.00144  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradBiasAdd/BiasAddGrad-op50 0.00183  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op56 4.24336  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/flatten-Flatten/gradReshape/TransData-op125 0.06442  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op113 0.00313  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/MaxPoolGrad-op58 0.00567  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op104 0.0042  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op126 0.00532  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Cast-op96 0.00377  519
+Default/AtomicAddrClean-op149 0.00546  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Conv2DBackpropFilter-op60 0.01194  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Conv2DBackpropInput-op63 0.01106  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Cast-op103 0.00397  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op127 0.00526  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Cast-op94 0.0045  519
+Default/AtomicAddrClean-op150 0.00615  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Conv2DBackpropFilter-op65 0.01301  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Conv2DBackpropInput-op68 0.01392  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Cast-op102 0.00387  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op128 0.005  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Cast-op93 0.00438  519
+Default/AtomicAddrClean-op151 0.00506  519
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+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Conv2DBackpropInput-op73 0.02185  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/MaxPoolGrad-op74 0.01593  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op101 0.00524  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op129 0.00653  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/gradConv2D/Cast-op92 0.00546  519
+Default/AtomicAddrClean-op152 0.00523  519
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+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/gradConv2D/Conv2DBackpropInput-op79 0.03911  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/MaxPoolGrad-op80 0.03258  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op100 0.00633  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op130 0.00868  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/gradConv2D/Cast-op90 0.00574  519
+Default/AtomicAddrClean-op153 0.00294  519
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/gradConv2D/Conv2DBackpropFilter-op82 0.04572  519
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op38 0.00303  519
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op35 0.00162  519
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op46 0.34771  519
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op43 0.0028  519
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op54 0.78189  519
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op51 0.00276  519
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op61 0.02337  519
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op66 0.0318  519
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op71 0.02209  519
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op77 0.01652  519
+Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op83 0.00769  519
+Default/AssignAdd-op138 0.00148  519
+total op  23.088094999999996 0

tests/utils/resource/run_2/normal_run/profiler/output_op_compute_time_detail_1.txt

@@ -0,0 +1,131 @@
+====================op compute time====================
+optype_name compute_time(ms, per-step) called_times(per-step) percent
+AssignAdd 0.00492 3 0.02
+TransData 0.193765 3 0.84
+OneHot 0.00176 1 0.01
+GatherV2 0.00153 1 0.01
+Cast 0.14809 28 0.64
+Conv2D 0.46107 5 2.0
+ReLUV2 0.03328 5 0.14
+MaxPool 0.01223 3 0.05
+MatMul 20.65774 9 89.47
+ReLU 0.00477 2 0.02
+SoftmaxCrossEntropyWithLogits 0.00364 1 0.02
+AtomicAddrClean 0.03012 9 0.13
+ReduceMean 0.00139 1 0.01
+Mul 0.00132 1 0.01
+BiasAddGrad 0.00504 3 0.02
+ReluGrad 0.0085 2 0.04
+MaxPoolGrad 0.05418 3 0.23
+ReluGradV2 0.03079 5 0.13
+Conv2DBackpropFilter 0.10674 5 0.46
+Conv2DBackpropInput 0.08594 4 0.37
+ApplyMomentum 1.24128 11 5.38
+
+Detail:
+op_name op_type avg_execution_time subgraph full_op_name
+AssignAdd-op142 AssignAdd 0.00219 Default Default/AssignAdd-op142
+AssignAdd-op138 AssignAdd 0.00148 Default Default/AssignAdd-op138
+AssignAdd-op31 AssignAdd 0.00125 Default Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op31
+TransData-op124 TransData 0.08231 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/TransData-op124
+TransData-op125 TransData 0.06442 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/flatten-Flatten/gradReshape/TransData-op125
+TransData-op118 TransData 0.047035 Default Default/TransData-op118
+OneHot-op3 OneHot 0.00176 Default Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/OneHot-op3
+GatherV2-op32 GatherV2 0.00153 Default Default/network-TrainOneStepCell/optimizer-Momentum/learning_rate-_IteratorLearningRate/GatherV2-op32
+Cast-op110 Cast 0.00932 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Cast-op110
+Cast-op91 Cast 0.00804 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Cast-op91
+Cast-op116 Cast 0.00781 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv3-Conv2d/Cast-op116
+Cast-op111 Cast 0.00773 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Cast-op111
+Cast-op115 Cast 0.00696 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/Cast-op115
+Cast-op108 Cast 0.00652 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Cast-op108
+Cast-op100 Cast 0.00633 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op100
+Cast-op98 Cast 0.00588 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op98
+Cast-op90 Cast 0.00574 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/gradConv2D/Cast-op90
+Cast-op99 Cast 0.00559 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op99
+Cast-op92 Cast 0.00546 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/gradConv2D/Cast-op92
+Cast-op101 Cast 0.00524 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op101
+Cast-op109 Cast 0.00515 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/Cast-op109
+Cast-op117 Cast 0.00514 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Cast-op117
+Cast-op95 Cast 0.0047 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Cast-op95
+Cast-op114 Cast 0.00465 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Cast-op114
+Cast-op94 Cast 0.0045 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Cast-op94
+Cast-op93 Cast 0.00438 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Cast-op93
+Cast-op97 Cast 0.00435 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Cast-op97
+Cast-op104 Cast 0.0042 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op104
+Cast-op106 Cast 0.00419 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv3-Conv2d/Cast-op106
+Cast-op105 Cast 0.00399 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op105
+Cast-op103 Cast 0.00397 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Cast-op103
+Cast-op102 Cast 0.00387 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Cast-op102
+Cast-op96 Cast 0.00377 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Cast-op96
+Cast-op112 Cast 0.00376 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op112
+Cast-op107 Cast 0.00372 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Cast-op107
+Cast-op113 Cast 0.00313 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op113
+Conv2D-op11 Conv2D 0.16997 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv3-Conv2d/Conv2D-op11
+Conv2D-op15 Conv2D 0.10168 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Conv2D-op15
+Conv2D-op13 Conv2D 0.09617 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Conv2D-op13
+Conv2D-op5 Conv2D 0.06913 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Conv2D-op5
+Conv2D-op8 Conv2D 0.02412 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/Conv2D-op8
+ReLUV2-op119 ReLUV2 0.0094 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op119
+ReLUV2-op120 ReLUV2 0.0067 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op120
+ReLUV2-op122 ReLUV2 0.00626 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op122
+ReLUV2-op121 ReLUV2 0.00624 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op121
+ReLUV2-op123 ReLUV2 0.00468 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op123
+MaxPool-op7 MaxPool 0.00591 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/MaxPool-op7
+MaxPool-op10 MaxPool 0.00335 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/MaxPool-op10
+MaxPool-op17 MaxPool 0.00297 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/MaxPool-op17
+MatMul-op19 MatMul 9.17408 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/MatMul-op19
+MatMul-op56 MatMul 4.24336 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op56
+MatMul-op22 MatMul 4.04837 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/MatMul-op22
+MatMul-op48 MatMul 2.61685 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op48
+MatMul-op53 MatMul 0.33999 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op53
+MatMul-op45 MatMul 0.22636 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op45
+MatMul-op25 MatMul 0.00348 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/MatMul-op25
+MatMul-op37 MatMul 0.00278 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op37
+MatMul-op40 MatMul 0.00247 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op40
+ReLU-op21 ReLU 0.00256 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLU-op21
+ReLU-op24 ReLU 0.00221 Default Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLU-op24
+SoftmaxCrossEntropyWithLogits-op27 SoftmaxCrossEntropyWithLogits 0.00364 Default Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/SoftmaxCrossEntropyWithLogits-op27
+AtomicAddrClean-op150 AtomicAddrClean 0.00615 Default Default/AtomicAddrClean-op150
+AtomicAddrClean-op149 AtomicAddrClean 0.00546 Default Default/AtomicAddrClean-op149
+AtomicAddrClean-op152 AtomicAddrClean 0.00523 Default Default/AtomicAddrClean-op152
+AtomicAddrClean-op151 AtomicAddrClean 0.00506 Default Default/AtomicAddrClean-op151
+AtomicAddrClean-op153 AtomicAddrClean 0.00294 Default Default/AtomicAddrClean-op153
+AtomicAddrClean-op148 AtomicAddrClean 0.00144 Default Default/AtomicAddrClean-op148
+AtomicAddrClean-op147 AtomicAddrClean 0.00143 Default Default/AtomicAddrClean-op147
+AtomicAddrClean-op145 AtomicAddrClean 0.00128 Default Default/AtomicAddrClean-op145
+AtomicAddrClean-op146 AtomicAddrClean 0.00113 Default Default/AtomicAddrClean-op146
+ReduceMean-op87 ReduceMean 0.00139 Default Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/ReduceMean-op87
+Mul-op29 Mul 0.00132 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/gradSoftmaxCrossEntropyWithLogits/Mul-op29
+BiasAddGrad-op50 BiasAddGrad 0.00183 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradBiasAdd/BiasAddGrad-op50
+BiasAddGrad-op42 BiasAddGrad 0.00182 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradBiasAdd/BiasAddGrad-op42
+BiasAddGrad-op30 BiasAddGrad 0.00139 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradBiasAdd/BiasAddGrad-op30
+ReluGrad-op41 ReluGrad 0.00426 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGrad-op41
+ReluGrad-op49 ReluGrad 0.00424 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGrad-op49
+MaxPoolGrad-op80 MaxPoolGrad 0.03258 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/MaxPoolGrad-op80
+MaxPoolGrad-op74 MaxPoolGrad 0.01593 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/MaxPoolGrad-op74
+MaxPoolGrad-op58 MaxPoolGrad 0.00567 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/MaxPoolGrad-op58
+ReluGradV2-op130 ReluGradV2 0.00868 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op130
+ReluGradV2-op129 ReluGradV2 0.00653 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op129
+ReluGradV2-op126 ReluGradV2 0.00532 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op126
+ReluGradV2-op127 ReluGradV2 0.00526 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op127
+ReluGradV2-op128 ReluGradV2 0.005 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op128
+Conv2DBackpropFilter-op82 Conv2DBackpropFilter 0.04572 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/gradConv2D/Conv2DBackpropFilter-op82
+Conv2DBackpropFilter-op76 Conv2DBackpropFilter 0.02361 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/gradConv2D/Conv2DBackpropFilter-op76
+Conv2DBackpropFilter-op65 Conv2DBackpropFilter 0.01301 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Conv2DBackpropFilter-op65
+Conv2DBackpropFilter-op70 Conv2DBackpropFilter 0.01246 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Conv2DBackpropFilter-op70
+Conv2DBackpropFilter-op60 Conv2DBackpropFilter 0.01194 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Conv2DBackpropFilter-op60
+Conv2DBackpropInput-op79 Conv2DBackpropInput 0.03911 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/gradConv2D/Conv2DBackpropInput-op79
+Conv2DBackpropInput-op73 Conv2DBackpropInput 0.02185 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Conv2DBackpropInput-op73
+Conv2DBackpropInput-op68 Conv2DBackpropInput 0.01392 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Conv2DBackpropInput-op68
+Conv2DBackpropInput-op63 Conv2DBackpropInput 0.01106 Gradients Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Conv2DBackpropInput-op63
+ApplyMomentum-op54 ApplyMomentum 0.78189 Default Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op54
+ApplyMomentum-op46 ApplyMomentum 0.34771 Default Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op46
+ApplyMomentum-op66 ApplyMomentum 0.0318 Default Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op66
+ApplyMomentum-op61 ApplyMomentum 0.02337 Default Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op61
+ApplyMomentum-op71 ApplyMomentum 0.02209 Default Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op71
+ApplyMomentum-op77 ApplyMomentum 0.01652 Default Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op77
+ApplyMomentum-op83 ApplyMomentum 0.00769 Default Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op83
+ApplyMomentum-op38 ApplyMomentum 0.00303 Default Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op38
+ApplyMomentum-op43 ApplyMomentum 0.0028 Default Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op43
+ApplyMomentum-op51 ApplyMomentum 0.00276 Default Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op51
+ApplyMomentum-op35 ApplyMomentum 0.00162 Default Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op35

tests/utils/resource/run_2/normal_run/profiler/output_timeline_data_1.txt

@@ -0,0 +1,108 @@
+op_name, stream_id, start_time(ms), duration(ms)
+Default/AssignAdd-op142,519,154907895.95956,0.0031
+Default/TransData-op118,519,154907895.96517,0.04664
+Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/OneHot-op3,519,154907896.64191,0.00176
+Default/network-TrainOneStepCell/optimizer-Momentum/learning_rate-_IteratorLearningRate/GatherV2-op32,519,154907896.64377,0.00153
+Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op31,519,154907896.6454,0.00125
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Cast-op91,519,154907896.64675,0.00804
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Cast-op110,519,154907896.6549,0.00932
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Cast-op111,519,154907896.66432,0.00773
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/Cast-op115,519,154907896.67215,0.00696
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv3-Conv2d/Cast-op116,519,154907896.67921,0.00781
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Cast-op117,519,154907896.68712,0.00514
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Conv2D-op5,519,154907896.69236,0.06913
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Cast-op108,519,154907896.76159,0.00652
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op119,519,154907896.76821,0.0094
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op98,519,154907896.77771,0.00588
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/MaxPool-op7,519,154907896.7837,0.00591
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/Conv2D-op8,519,154907896.78971,0.02412
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/Cast-op109,519,154907896.81393,0.00515
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op120,519,154907896.81919,0.0067
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op99,519,154907896.826,0.00559
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/MaxPool-op10,519,154907896.83169,0.00335
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv3-Conv2d/Conv2D-op11,519,154907896.83514,0.16997
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv3-Conv2d/Cast-op106,519,154907897.00521,0.00419
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op121,519,154907897.0095,0.00624
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Cast-op95,519,154907897.01584,0.0047
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Conv2D-op13,519,154907897.02064,0.09617
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Cast-op107,519,154907897.11691,0.00372
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op122,519,154907897.12073,0.00626
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Cast-op97,519,154907897.12709,0.00435
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Conv2D-op15,519,154907897.13154,0.10168
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Cast-op114,519,154907897.23332,0.00465
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op123,519,154907897.23808,0.00468
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op112,519,154907897.24286,0.00376
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/MaxPool-op17,519,154907897.24672,0.00297
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op105,519,154907897.24979,0.00399
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/TransData-op124,519,154907897.25388,0.08231
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/MatMul-op19,519,154907897.33629,9.17408
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLU-op21,519,154907906.51047,0.00256
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/MatMul-op22,519,154907906.51313,4.04837
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLU-op24,519,154907910.56161,0.00221
+Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/MatMul-op25,519,154907910.56392,0.00348
+Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/SoftmaxCrossEntropyWithLogits-op27,519,154907910.5675,0.00364
+Default/AtomicAddrClean-op145,519,154907910.57125,0.00128
+Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/ReduceMean-op87,519,154907910.57263,0.00139
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/gradSoftmaxCrossEntropyWithLogits/Mul-op29,519,154907910.57413,0.00132
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op37,519,154907910.57556,0.00278
+Default/AtomicAddrClean-op146,519,154907910.57845,0.00113
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradBiasAdd/BiasAddGrad-op30,519,154907910.57968,0.00139
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op40,519,154907910.58117,0.00247
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGrad-op41,519,154907910.58374,0.00426
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op45,519,154907910.5881,0.22636
+Default/AtomicAddrClean-op147,519,154907910.81456,0.00143
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradBiasAdd/BiasAddGrad-op42,519,154907910.81609,0.00182
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op48,519,154907910.81802,2.61685
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGrad-op49,519,154907913.43498,0.00424
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op53,519,154907913.43932,0.33999
+Default/AtomicAddrClean-op148,519,154907913.77941,0.00144
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradBiasAdd/BiasAddGrad-op50,519,154907913.78096,0.00183
+Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op56,519,154907913.78289,4.24336
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@@ -0,0 +1 @@
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tests/utils/resource/run_2/normal_run/profiler/step_trace_point_info.json

@@ -0,0 +1 @@
+{"fp_start": "Default/EndOfSequence-op131", "bp_end": "Default/AssignAdd-op138"}

tests/utils/resource/run_2/normal_run/profiler/step_trace_raw_1_detail_time.csv

@@ -0,0 +1,3 @@
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