[GitHub] [tvm] merrymercy commented on a change in pull request #7167: [Doc][AutoScheduler] Improve hyperlinks in tutorials

[GitBox <gi...@apache.org>]

merrymercy commented on a change in pull request #7167:
URL: https://github.com/apache/tvm/pull/7167#discussion_r548921916



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File path: tutorials/auto_scheduler/tune_network_mali.py
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@@ -339,9 +349,14 @@ def tune_and_evaluate():
 # 1. During the tuning, the auto-scheduler needs to compile many programs and
 #    extract feature from them. This part is CPU-intensive,
 #    so a high-performance CPU with many cores is recommended for faster search.
-# 2. If you have multiple target devices, you can use all of them for measurements to
-#    parallelize the measurements. Check this :ref:`section <tutorials-autotvm-rpc-tracker>`
+# 2. You can use :code:`python3 -m tvm.auto_scheduler.measure_record --mode distill --i log.json`
+#    to distill the large log file and only save the best useful records.
+# 3. You can resume a search from the previous log file. You just need to
+#    add a new argument :code:`load_log_file` when creating the task scheduler
+#    in function :code:`run_tuning`. Say,
+#    :code:`tuner = auto_scheduler.TaskScheduler(tasks, task_weights, load_log_file=log_file)`
+# 4. If you have multiple target CPUs, you can use all of them for measurements to

Review comment:
       ```suggestion
   # 4. If you have multiple target GPUs, you can use all of them for measurements to
   ```




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