[GitHub] [tvm] guberti opened a new issue, #13528: [microTVM] Use autotuning to choose num_outputs value

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

guberti opened a new issue, #13528:
URL: https://github.com/apache/tvm/issues/13528

   Once #13242 lands, the convolution schedules for microTVM will have a tunable parameter `num_outputs`:
   
   https://github.com/apache/tvm/blob/f11243a0eec0bae9a8f9b4a6d4ad6152de4e3fc9/python/tvm/topi/arm_cpu/qnn.py#L235-L239
   
   As the comments states, picking this value is important for performance. It would be awesome to be able to autotune this - the correct value is very dependent on the exact parameters of the convolution, picking correctly will have a >10% impact on performance, and predicting it without autotuning would be challenging (though theoretically possible).
   
   Note that this value is used in the _compute function_, not in the _scheduling function_, which makes autotuning harder.


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