Thank you for the advice!
When looking into the autotuners (python/tvm/autotvm/tuner/), they generate a
set of optimization configurations that they want to apply to the compilation
of each kernel.
(If 1,000 trials are given, they will generate 1,000 configurations and pick
the best one)
I
Hi,
I'm not fully sure whether I understood your questions correctly. If you are
looking for the default schedule for a selected target, TVM fetches that from
[this](https://github.com/uwsampl/tvm-distro/tree/master/tophub) repository
during execution time and places a copy under /home/yourus
Can we write schedule for +bias.
Now "+bias" fuse into conv2d, bias is global memory, can't cache_read.
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[Visit Topic](https://discuss.tvm.ai/t/how-to-write-schedule-for-bias/6100/1)
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