ChaiBapchya commented on issue #17449: Implemented large tensor flag for opperf testing URL: https://github.com/apache/incubator-mxnet/pull/17449#issuecomment-579949961 Actually, if the mxnet is built with LTS ON then user can just give >2**32 as a custom shape and use the opperf utility. This flag serves as a quick way of testing for Large tensor Ops. So for example if user doesn't want to add custom shapes for each operator and just wants to see perf times for all operators then this flag comes in handy. So ya, both are separate use cases and both are possible. With the obvious assumption, mxnet is built with USE_INT64_TENSOR_SIZE = ON On Wed, 29 Jan 2020 at 10:31, Lin Yuan <[email protected]> wrote: > Can users specify custom shapes to test the performance of large tensor > instead of using a param? That gives more freedom to users. > > — > You are receiving this because you commented. > Reply to this email directly, view it on GitHub > <https://github.com/apache/incubator-mxnet/pull/17449?email_source=notifications&email_token=ACT3X62ZQIGIEGFNAFA7UUTRAHDRZA5CNFSM4KMGEWTKYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEKIIJDY#issuecomment-579896463>, > or unsubscribe > <https://github.com/notifications/unsubscribe-auth/ACT3X62HGRE6DM3YHJO33ELRAHDRZANCNFSM4KMGEWTA> > . > -- *Chaitanya Prakash Bapat* *+1 (973) 953-6299* [image: https://www.linkedin.com//in/chaibapat25] <https://github.com/ChaiBapchya>[image: https://www.facebook.com/chaibapat] <https://www.facebook.com/chaibapchya>[image: https://twitter.com/ChaiBapchya] <https://twitter.com/ChaiBapchya>[image: https://www.linkedin.com//in/chaibapat25] <https://www.linkedin.com//in/chaibapchya/>
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