[Relay][Strategy] Allow cuda cross compilation without physical device. #7063
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@anwang2009 @tqchen @adelbertc Can you guys take a look at this PR? |
comaniac
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Dec 8, 2020
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Thanks @jwfromm @anwang2009. |
TusharKanekiDey
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Jan 20, 2021
…e. (apache#7063) * Allow cross compilation of cuda targets without physical device. * Formatting. * Add warning when architecture cant be found. * Use target instead of autotvm arch specification. * Change warning message. Co-authored-by: Ubuntu <jwfromm@jwfromm-cpu-dev.itxhlkosmouevgkdrmwxfbs5qh.xx.internal.cloudapp.net>
trevor-m
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Jan 21, 2021
…e. (apache#7063) * Allow cross compilation of cuda targets without physical device. * Formatting. * Add warning when architecture cant be found. * Use target instead of autotvm arch specification. * Change warning message. Co-authored-by: Ubuntu <jwfromm@jwfromm-cpu-dev.itxhlkosmouevgkdrmwxfbs5qh.xx.internal.cloudapp.net>
electriclilies
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Feb 18, 2021
…e. (apache#7063) * Allow cross compilation of cuda targets without physical device. * Formatting. * Add warning when architecture cant be found. * Use target instead of autotvm arch specification. * Change warning message. Co-authored-by: Ubuntu <jwfromm@jwfromm-cpu-dev.itxhlkosmouevgkdrmwxfbs5qh.xx.internal.cloudapp.net>
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The recent addition of tensorcore schedules has broken TVM's ability to compile for cuda on a machine without a GPU. This is because the strategy registration for tensorcores calls
tvm.gpu(0).compute_version, which fails when no gpu is present. I've changed the behavior ofnvcc.have_tensorcoreto checkAutotvmGlobalScope.current.cuda_target_archwhen a GPU isn't present. This allows a user to call something liketvm.autotvm.measure.measure_methods.set_cuda_target_arch("sm_62")to specify a cuda cross compilation target on a machine without a GPU and build correctly.I'm not sure how to test this since it would require a CPU node that's built with the cuda toolkit. Let me know if you have an opinion on tests to add to prevent an error like this from sneaking in again.