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The following commit(s) were added to refs/heads/master by this push:
     new 97a26bf  Use the best tuner possible (#4397)
97a26bf is described below

commit 97a26bf6d11064824290e77925df5b9e5fca4226
Author: miheer vaidya <[email protected]>
AuthorDate: Sun Dec 15 16:09:16 2019 -0700

    Use the best tuner possible (#4397)
    
    * Use the best tuner possible
    
    * Add comment denoting availability of better tuners
    
    * Fix typos and wording
---
 tutorials/autotvm/tune_simple_template.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/tutorials/autotvm/tune_simple_template.py 
b/tutorials/autotvm/tune_simple_template.py
index dc1b2ce..2e877b4 100644
--- a/tutorials/autotvm/tune_simple_template.py
+++ b/tutorials/autotvm/tune_simple_template.py
@@ -32,6 +32,7 @@ The whole workflow is illustrated by a matrix multiplication 
example.
 # Install dependencies
 # --------------------
 # To use autotvm package in TVM, we need to install some extra dependencies.
+# This step (installing xgboost) can be skipped as it doesn't need XGBoost
 # (change "3" to "2" if you use python2):
 #
 # .. code-block:: bash
@@ -294,7 +295,8 @@ measure_option = autotvm.measure_option(
     builder='local',
     runner=autotvm.LocalRunner(number=5))
 
-# begin tuning, log records to file `matmul.log`
+# Begin tuning with RandomTuner, log records to file `matmul.log`
+# You can use alternatives like XGBTuner.
 tuner = autotvm.tuner.RandomTuner(task)
 tuner.tune(n_trial=10,
            measure_option=measure_option,

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