!22851 MD Profiling: Update Connector Init to Remove any existing file

Merge pull request !22851 from cathwong/ckw_mon_seq_pipelines_fix

mindspore/ccsrc/minddata/dataset/engine/perf/connector_size.cc

@@ -92,11 +92,15 @@ Status ConnectorSize::SaveToFile() {
   // Discard the content of the file when opening.
   std::ofstream os(file_path_, std::ios::trunc);
   os << output;
+  os.close();
   return Status::OK();
 }
 
 Status ConnectorSize::Init(const std::string &dir_path, const std::string &device_id) {
   file_path_ = (Path(dir_path) / Path("pipeline_profiling_" + device_id + ".json")).toString();
+  Path path = Path(file_path_);
+  // Remove the file if it exists (from prior profiling usage)
+  RETURN_IF_NOT_OK(path.Remove());
   return Status::OK();
 }
 

mindspore/ccsrc/minddata/dataset/engine/perf/connector_throughput.cc

@@ -125,11 +125,15 @@ Status ConnectorThroughput::SaveToFile() {
   // Discard the content of the file when opening.
   std::ofstream os(file_path_, std::ios::trunc);
   os << output;
+  os.close();
   return Status::OK();
 }
 
 Status ConnectorThroughput::Init(const std::string &dir_path, const std::string &device_id) {
   file_path_ = (Path(dir_path) / Path("pipeline_profiling_" + device_id + ".json")).toString();
+  Path path = Path(file_path_);
+  // Remove the file if it exists (from prior profiling usage)
+  RETURN_IF_NOT_OK(path.Remove());
   return Status::OK();
 }
 

mindspore/profiler/parser/minddata_analyzer.py

@@ -287,10 +287,8 @@ class MinddataProfilingAnalyzer:
         if metrics and metrics['output_queue']:
             queue_size = metrics['output_queue']['size']
             queue_length = metrics['output_queue']['length']
-            if queue_length == 0:
-                raise ValueError("The input queue can not be None.")
             queue_average_size = round(sum(queue_size) / len(queue_size), 2) if queue_size else -1
-            queue_utilization_pct = round(100 * queue_average_size / queue_length, 2)
+            queue_utilization_pct = round(100 * queue_average_size / queue_length, 2) if queue_length else -1
             # Compute percentage of time queue is empty
             empty_count = 0
             for q_size in queue_size:

tests/ut/python/dataset/test_profiling.py

@@ -61,7 +61,7 @@ def delete_profiling_files():
 
 def confirm_cpuutil(num_pipeline_ops):
     """
-    Confirm CPU utilization JSON file when <num_pipeline_ops> are in the pipeline
+    Confirm CPU utilization JSON file with <num_pipeline_ops> in the pipeline
     """
     with open(CPU_UTIL_FILE) as file1:
         data = json.load(file1)
@@ -70,6 +70,19 @@ def confirm_cpuutil(num_pipeline_ops):
         assert len(op_info) == num_pipeline_ops + 1
 
 
+def confirm_ops_in_pipeline(num_ops, op_list):
+    """
+    Confirm pipeline JSON file with <num_ops> are in the pipeline and the given list of ops
+    """
+    with open(PIPELINE_FILE) as file1:
+        data = json.load(file1)
+        op_info = data["op_info"]
+        # Confirm ops in pipeline file
+        assert len(op_info) == num_ops
+        for i in range(num_ops):
+            assert op_info[i]["op_type"] in op_list
+
+
 def test_profiling_simple_pipeline():
     """
     Generator -> Shuffle -> Batch
@@ -397,26 +410,6 @@ def test_profiling_cifar10_pipeline():
         delete_profiling_files()
 
 
-def confirm_3ops_in_pipeline():
-    with open(PIPELINE_FILE) as file1:
-        data = json.load(file1)
-        op_info = data["op_info"]
-        # Confirm 3 ops in pipeline file
-        assert len(op_info) == 3
-        for i in range(3):
-            assert op_info[i]["op_type"] in ("GeneratorOp", "BatchOp", "EpochCtrlOp")
-
-
-def confirm_2ops_in_pipeline():
-    with open(PIPELINE_FILE) as file1:
-        data = json.load(file1)
-        op_info = data["op_info"]
-        # Confirm 2 ops in pipeline file
-        assert len(op_info) == 2
-        for i in range(2):
-            assert op_info[i]["op_type"] in ("GeneratorOp", "BatchOp")
-
-
 def test_profiling_seq_pipelines_epochctrl3():
     """
     Test with these 2 sequential pipelines:
@@ -438,7 +431,8 @@ def test_profiling_seq_pipelines_epochctrl3():
             num_iter += 1
         assert num_iter == 2
 
-        confirm_3ops_in_pipeline()
+        # Confirm pipeline file and CPU util file each have 3 ops
+        confirm_ops_in_pipeline(3, ["GeneratorOp", "BatchOp", "EpochCtrlOp"])
         confirm_cpuutil(3)
 
         # Test B - Call create_dict_iterator with num_epochs=1
@@ -449,10 +443,8 @@ def test_profiling_seq_pipelines_epochctrl3():
             num_iter += 1
         assert num_iter == 2
 
-        # confirm_2ops_in_pipeline()
-        # MD BUG: Confirm pipeline file is not changed and wrongly still has 3 ops
-        confirm_3ops_in_pipeline()
-        # Confirm CPU util file has correct number of ops
+        # Confirm pipeline file and CPU util file each have 2 ops
+        confirm_ops_in_pipeline(2, ["GeneratorOp", "BatchOp"])
         confirm_cpuutil(2)
 
     except Exception as error:
@@ -483,7 +475,8 @@ def test_profiling_seq_pipelines_epochctrl2():
             num_iter += 1
         assert num_iter == 4
 
-        confirm_2ops_in_pipeline()
+        # Confirm pipeline file and CPU util file each have 2 ops
+        confirm_ops_in_pipeline(2, ["GeneratorOp", "BatchOp"])
         confirm_cpuutil(2)
 
         # Test B - Call create_dict_iterator with num_epochs>1
@@ -494,10 +487,8 @@ def test_profiling_seq_pipelines_epochctrl2():
             num_iter += 1
         assert num_iter == 4
 
-        # confirm_3ops_in_pipeline()
-        # MD BUG: Confirm pipeline file is not changed and wrongly still has 2 ops
-        confirm_2ops_in_pipeline()
-        # Confirm CPU util file has correct number of ops
+        # Confirm pipeline file and CPU util file each have 3 ops
+        confirm_ops_in_pipeline(3, ["GeneratorOp", "BatchOp", "EpochCtrlOp"])
         confirm_cpuutil(3)
 
     except Exception as error:
@@ -527,7 +518,8 @@ def test_profiling_seq_pipelines_repeat():
             num_iter += 1
         assert num_iter == 4
 
-        confirm_2ops_in_pipeline()
+        # Confirm pipeline file and CPU util file each have 2 ops
+        confirm_ops_in_pipeline(2, ["GeneratorOp", "BatchOp"])
         confirm_cpuutil(2)
 
         # Test B - Add repeat op to pipeline.  Call create_dict_iterator with 3 ops in pipeline
@@ -537,10 +529,8 @@ def test_profiling_seq_pipelines_repeat():
             num_iter += 1
         assert num_iter == 20
 
-        # confirm_3ops_in_pipeline()
-        # MD BUG: Confirm pipeline file is not changed and wrongly still has 2 ops
-        confirm_2ops_in_pipeline()
-        # Confirm CPU util file has correct number of ops
+        # Confirm pipeline file and CPU util file each have 3 ops
+        confirm_ops_in_pipeline(3, ["GeneratorOp", "BatchOp", "RepeatOp"])
         confirm_cpuutil(3)
 
     except Exception as error:

tests/ut/python/profiler/parser/test_minddata_analyzer.py

@@ -42,22 +42,12 @@ class TestMinddataProfilingAnalyzer():
         self._SUMMARY_CSV_FILE = "./minddata_pipeline_summary_7.csv"
         self._ANALYZE_FILE_PATH = "./"
 
-        # These are the minimum subset of expected keys (in alphabetical order) in the MindData Analyzer summary output
-
         # This is the set of keys for success case
         self._EXPECTED_SUMMARY_KEYS_SUCCESS = \
             ['avg_cpu_pct', 'avg_cpu_pct_per_worker', 'children_ids', 'num_workers', 'op_ids', 'op_names',
              'parent_id', 'per_batch_time', 'per_pipeline_time', 'per_push_queue_time', 'pipeline_ops',
              'queue_average_size', 'queue_empty_freq_pct', 'queue_utilization_pct']
 
-        # This is the set of keys for the case which omits the keys for composite computation of more than one raw file.
-        # This is used for the invalid user case in which the number of ops in the pipeline file does not match
-        # the number of ops in the CPU utilization file.
-        self._EXPECTED_SUMMARY_KEYS_OMIT_COMPOSITE = \
-            ['avg_cpu_pct', 'children_ids', 'num_workers', 'op_ids', 'op_names',
-             'parent_id', 'per_batch_time', 'per_pipeline_time', 'per_push_queue_time', 'pipeline_ops',
-             'queue_average_size', 'queue_empty_freq_pct', 'queue_utilization_pct']
-
 
     def setup_method(self):
         """
@@ -269,13 +259,10 @@ class TestMinddataProfilingAnalyzer():
         md_summary_dict = md_analyzer.analyze()
 
         # Verify MindData Profiling Analyze Summary output
-        # Use self._EXPECTED_SUMMARY_KEYS_OMIT_COMPOSITE, since composite keys are not produced, since there is a mismatch
-        # between the 4 ops in the stale pipeline file versus the 3 ops in the recreated cpu util file
-        self.verify_md_summary(md_summary_dict, self._EXPECTED_SUMMARY_KEYS_OMIT_COMPOSITE)
+        self.verify_md_summary(md_summary_dict, self._EXPECTED_SUMMARY_KEYS_SUCCESS)
 
-        # Confirm pipeline data wrongly contains info for 4 ops
-        assert md_summary_dict["pipeline_ops"] == ["EpochCtrl(id=0)", "Batch(id=1)", "Map(id=2)",
-                                                   "Generator(id=3)"]
+        # Confirm pipeline data contains info for 3 ops
+        assert md_summary_dict["pipeline_ops"] == ["Batch(id=0)", "Map(id=1)", "Generator(id=2)"]
 
-        # Verify CPU util data contains info for only 3 ops
+        # Verify CPU util data contains info for 3 ops
         assert len(md_summary_dict["avg_cpu_pct"]) == 3