You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: docs/source/sdk-profiling.md
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -13,7 +13,7 @@ We provide access to all the profiling data via the Python [Inspector API](./sdk
13
13
14
14
## Steps to Profile a Model in ExecuTorch
15
15
16
-
1.[Optional] Generate an [ETRecord](./sdk-etrecord.md) while you're exporting your model. If provided this will enable users to link back profiling details to eager model source code (with stack traces and module hierarchy).
16
+
1.[Optional] Generate an [ETRecord](./sdk-etrecord.rst) while you're exporting your model. If provided this will enable users to link back profiling details to eager model source code (with stack traces and module hierarchy).
17
17
2. Build the runtime with the pre-processor flags that enable profiling. Detailed in the [ETDump documentation](./sdk-etdump.md).
18
18
3. Run your Program on the ExecuTorch runtime and generate an [ETDump](./sdk-etdump.md).
19
19
4. Create an instance of the [Inspector API](./sdk-inspector.rst) by passing in the ETDump you have sourced from the runtime along with the ETRecord generated earlier (optional).
0 commit comments