Move Inspector Tutorial Code into individual code cells (#814)

Summary:
Pull Request resolved: #814

The generated Notebook Cell types were being set to markdown.

This diff just makes them into code cells

Differential Revision: D50147708

fbshipit-source-id: 4768ed781c9869e6a4776afa22733ab9bb14aff0

Author: Jack-Khuu

docs/source/tutorials_source/sdk-integration-tutorial.py

@@ -57,10 +57,12 @@
 # edge dialect model (``EdgeProgramManager``), the ExecuTorch dialect model
 # (``ExecutorchProgramManager``), and an optional dictionary of additional models
 #
-# In this tutorial, the mobilenet v2 example model is used to demonstrate::
-#
+# In this tutorial, the mobilenet v2 example model is used to demonstrate.
+
+######################################################################
 #   # Imports
 #   import copy
+#
 #   import torch
 #
 #   from executorch.examples.models.mobilenet_v2 import MV2Model
@@ -81,15 +83,18 @@
 #       model.get_example_inputs(),
 #   )
 #
-#   edge_program_manager: EdgeProgramManager = to_edge(aten_model, compile_config=EdgeCompileConfig(_check_ir_validity=True))
+#   edge_program_manager: EdgeProgramManager = to_edge(
+#       aten_model, compile_config=EdgeCompileConfig(_check_ir_validity=True)
+#   )
 #   edge_program_manager_copy = copy.deepcopy(edge_program_manager)
 #   et_program_manager: ExecutorchProgramManager = edge_program_manager_copy.to_executorch()
 #
 #
 #   # Generate ETRecord
 #   etrecord_path = "etrecord.bin"
 #   generate_etrecord(etrecord_path, edge_program_manager, et_program_manager)
-#
+
+######################################################################
 # .. warning::
 #    Users should do a deepcopy of the output of to_edge() and pass in the
 #    deepcopy to the generate_etrecord API. This is needed because the
@@ -131,15 +136,15 @@
 # Note: An ``ETRecord`` is not required. If an ``ETRecord`` is not provided,
 # the Inspector will show runtime results without operator correlation.
 #
-# To visualize all runtime events, call ``print_data_tabular``::
-#
+# To visualize all runtime events, call Inspector's ``print_data_tabular``.
+
+######################################################################
 #   from executorch.sdk import Inspector
 #
+#   etrecord_path = "etdump.etdp"
 #   etdump_path = "etdump.etdp"
 #   inspector = Inspector(etdump_path=etdump_path, etrecord_path=etrecord_path)
 #   inspector.print_data_tabular()
-#
-
 
 ######################################################################
 # Analyzing with an Inspector
@@ -149,68 +154,76 @@
 # and ``DataFrames``. These mediums give users the ability to perform custom
 # analysis about their model performance.
 #
-# Below are examples usages, with both ``EventBlock`` and ``DataFrame`` approaches::
-#
+# Below are examples usages, with both ``EventBlock`` and ``DataFrame`` approaches.
+
+######################################################################
 #   # Set Up
-#
 #   import pprint as pp
-#   import pandas as pd
 #
-#   pd.set_option('display.max_colwidth', None)
-#   pd.set_option('display.max_columns', None)
+#   import pandas as pd
 #
+#   pd.set_option("display.max_colwidth", None)
+#   pd.set_option("display.max_columns", None)
+
+######################################################################
 # If a user wants the raw profiling results, they would do something similar to
-# finding the raw runtime data of an ``addmm.out`` event::
-#
+# finding the raw runtime data of an ``addmm.out`` event.
+
+######################################################################
 #   for event_block in inspector.event_blocks:
 #       # Via EventBlocks
 #       for event in event_block.events:
-#           if event.name == 'native_call_addmm.out':
+#           if event.name == "native_call_addmm.out":
 #               print(event.name, event.perf_data.raw)
 #
 #       # Via Dataframe
 #       df = event_block.to_dataframe()
-#       df = df[df.event_name == 'native_call_addmm.out']
-#       print(df[['event_name', 'raw']])
+#       df = df[df.event_name == "native_call_addmm.out"]
+#       print(df[["event_name', 'raw"]])
 #       print()
-#
+
+######################################################################
 # If a user wants to trace an operator back to their model code, they would do
 # something similar to finding the module hierarchy and stack trace of the
-# slowest ``convolution.out`` call::
-#
+# slowest ``convolution.out`` call.
+
+######################################################################
 #   for event_block in inspector.event_blocks:
 #       # Via EventBlocks
 #       slowest = None
 #       for event in event_block.events:
-#           if event.name == 'native_call_convolution.out':
+#           if event.name == "native_call_convolution.out":
 #               if slowest is None or event.perf_data.p50 > slowest.perf_data.p50:
 #                   slowest = event
 #       if slowest is not None:
 #           print(slowest.name)
 #           print()
 #           pp.pprint(slowest.stack_traces)
 #           print()
-#           pp.pprint(slowest.module_hierarchy
+#           pp.pprint(slowest.module_hierarchy)
 #
 #       # Via Dataframe
 #       df = event_block.to_dataframe()
-#       df = df[df.event_name == 'native_call_convolution.out']
+#       df = df[df.event_name == "native_call_convolution.out"]
 #       if len(df) > 0:
-#           slowest = df.loc[df['p50'].idxmax()]
+#           slowest = df.loc[df["p50"].idxmax()]
 #           print(slowest.event_name)
 #           print()
 #           pp.pprint(slowest.stack_traces)
 #           print()
 #           pp.pprint(slowest.module_hierarchy)
-#
-# If a user wants the total runtime of a module::
-#
+
+######################################################################
+# If a user wants the total runtime of a module, they can use
+# ``find_total_for_module``.
+
+######################################################################
 #   print(inspector.find_total_for_module("L__self___features"))
 #   print(inspector.find_total_for_module("L__self___features_14"))
-#
+
+######################################################################
 # Note: ``find_total_for_module`` is a special first class method of
 # `Inspector <../sdk-inspector.html>`__
-#
 
 ######################################################################
 # Conclusion