Oh, I see, thanks for your kind reply.
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Thank you for your reply.
Regarding time-consuming fluctuations, I didn't make it clear.
After autotvm tune is completed, I picked the best record for time-consuming
testing, and its time-consuming fluctuates significantly.I calculate the time
difference between the start and the end to get t
Thank you very much for your reply.
As I said before, I refer to this tutorial to deploy tvm:
https://tvm.apache.org/docs/deploy/cpp_deploy.html. I export tvm.build function
as a library first, then load and call the function in C++.
According to your suggestion, I set the cpu affinity in thi
Thank you very much for your reply.
Ansor looks great, I am very interested, I will try it.If there is any
progress, I will be happy to discuss further with you.
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Thank you very much for your reply.
The hardware I use is AArch64 CPU with 8 cores. I refer to this tutorial to
deploy tvm：https://tvm.apache.org/docs/deploy/cpp_deploy.html.The c++ thread
that load and use tvm library is bound to 3 intermediate frequency cpus, and
TVM_NUM_THREADS is set to 1
