comaniac commented on a change in pull request #4465: [AutoTVM] Tune softmax
CUDA schedule
URL: https://github.com/apache/incubator-tvm/pull/4465#discussion_r355106974
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File path: topi/python/topi/cuda/softmax.py
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@@ -52,13 +60,22 @@ def schedule_softmax(outs):
raise ValueError('Tag is expected to be softmax_output or
log_softmax_output. \
Got {0}'.format(op_tag))
+ # create tuning space
+ max_num_threads =
tvm.target.current_target(allow_none=False).max_num_threads
+ possible_num_thread = get_powers_of_two_in_range(32, max_num_threads)
+ cfg.define_knob("num_thread", possible_num_thread)
Review comment:
I personally think it would be better to use `define_split` directly so that
this part could be more concise. `define_split` also has an option to use all
power of two numbers in a given range as candidates.
In addition, do you think if there will bring any improvements if we create
two knobs used at `s[expsum].split(k, factor=num_thread)` and
`s[softmax].split(softmax.op.axis[1], nparts=num_thread)`? Maybe we need
differernt thread number if `k` and `softmax.op.axis[1]` are different, but
that will also increase the tuning space so I'm not 100% for sure if this is a
good idea.
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