Update rfcs/20210513-pluggable-profiler-for-tensorflow.md

Co-authored-by: Situ Yi <60493024+yisitu@users.noreply.github.com>
sarvex · Jul 23, 2021 · cb61d40 · cb61d40
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diff --git a/rfcs/20210513-pluggable-profiler-for-tensorflow.md b/rfcs/20210513-pluggable-profiler-for-tensorflow.md
@@ -387,7 +387,7 @@ e.g. the step time of a TF training job should be similar with profiling on or o
 Also, profiling should not cause the process to be killed due to running out-of-memory (OOM).
 * No leaks: any resources (memory) acquired for handling a profiling request should be released by the end of the request.
 Repeated profiling requests should not increase resource utilization over time.
-* No memory corruption: profiling should not corrupt memory due to dangling pointers.
+* No memory corruption: profiling should not corrupt memory. e.g. due to dangling pointers.
 * No deadlocks: any synchronization necessary to start/stop profiling should not block any application (TF) thread for a long time.
 
 ## **Alternatives Considered**