doc: Add a deprecation note for DetailedProfileConfig (aws#3583)

Author: mchoi8739

src/sagemaker/debugger/framework_profile.py

@@ -143,6 +143,12 @@ def __init__(
                 profiling. Configure it using the
                 :class:`~sagemaker.debugger.metrics_config.DetailedProfilingConfig` class.
                 Pass ``DetailedProfilingConfig()`` to use the default configuration.
+
+                .. warning::
+                    This detailed framework profiling feature discontinues support for TensorFlow v2.11
+                    and later. To use the detailed profiling feature, use previous versions of
+                    TensorFlow between v2.3.1 and v2.10.0.
+
             dataloader_profiling_config (DataloaderProfilingConfig): The configuration for
                 dataloader metrics profiling. Configure it using the
                 :class:`~sagemaker.debugger.metrics_config.DataloaderProfilingConfig` class.

src/sagemaker/debugger/metrics_config.py

@@ -203,8 +203,7 @@ def __init__(
     ):
         """Specify target steps or a target duration to profile.
 
-        By default, it profiles step 5
-        of training.
+        By default, it profiles step 5 of the training job.
 
         If **profile_default_steps** is set to `True` and none of the other
         range parameters is specified,
@@ -224,6 +223,11 @@ def __init__(
             if one of the two pairs is used. If both pairs are specified, a
             conflict error occurs.
 
+        .. warning::
+            This detailed framework profiling feature discontinues support for TensorFlow v2.11
+            and later. To use the detailed profiling feature, use previous versions of
+            TensorFlow between v2.3.1 and v2.10.0.
+
         """
         assert isinstance(
             profile_default_steps, bool