[TVM Discuss] [Questions] Setting per core usage explicitly in TVM

Hi All, I have a PC with 4 cores. I want to use 2 cores for the TVM inference and other two cores for another tasks in my application. Example: core 1 and core 2 == > TVM core 3 and core 4 ==> My own task in my App. I was able to set the to tell TVM to use 2 cores, but I was not able to fig

[TVM Discuss] [Questions] Process finished with exit code 139 (interrupted by signal 11: SIGSEGV)

Hello everyone. I am trying the first tutorial: Compile ONNX Models. I got:  Could every give me some tips how to fix this interrupted by signal 11: SIGSEGV error. Thank you very much!! TVM: 0.6dev Ubuntu 18.04 --- [Visit

[TVM Discuss] [Questions] Relay from_tensorflow failed - Couldn't find ANTLR parser

@soiferj @MarisaKirisame @jroesch --- [Visit Topic](http://tracking.discuss.tvm.ai/tracking/click?d=uCCmjWCmOYexxKLWk8BhbWTCXYo32jOwEz5hYGKZLU1O8FWM0Oq9po4bbYNfSCTnJKUfQCHCxsL5tn2f9NAeuL-XYmYxRnuKulcWWpih7rV0WksCaJO3uHD10DoiKBheT58slt1tCiZ5ECSzEEAf6nvkaltNRljB3nAup2-5YPyMXl1zFnfxIrn407hlfyO

[TVM Discuss] [Questions] Print method for Module (graph runtime)?

As far as I understood reading threads on this forum, there is no easy way to obtain a single file containing the complete LLVM IR of a compiled module: we have to keep the three items (graph, lib and params) as they are and let TVMRuntime handle them. This is not a viable solution in my case