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1.5.0 MKLDNN error "Unknown MKLDNN format" #15737
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Hey, this is the MXNet Label Bot. |
@mxnet-label-bot add [MKLDNN] |
@samskalicky thanks to reporting the issue. |
@samskalicky Could you try the latest nightly build? I think it should be fixed on the master branch already.
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Thanks @TaoLv, it does work with Can you share the PR that has the fix? Is it a fix that can go into 1.5.1, or is it part of a new feature that will have to wait until 1.6.0? |
@samskalicky is this from the real customer case? If so, we need to pick up to 1.5.1. |
@pengzhao-intel This is from a public model in the MXNet model zoo. Can you share the PR with the fix and describe the complexity of including that in 1.5.1 patch release? |
Should be #15692. But since v1.5.x is using a different version of MKL-DNN, could you try to apply this patch to v1.5.x manually and check if the issue is fixed there? If so, I will add it to the list for 1.5.1 patch release. Thank you! |
Sure, will try and report back
… On Aug 5, 2019, at 6:23 PM, Tao Lv ***@***.***> wrote:
Thanks @TaoLv, it does work with mxnet-mkl --pre
Can you share the PR that has the fix? Is it a fix that can go into 1.5.1, or is it part of a new feature that will have to wait until 1.6.0?
Should be #15692. But since v1.5.x is using a different version of MKL-DNN, could you try to apply this patch to v1.5.x manually and check if the issue is fixed there? If so, I will add it to the list for 1.5.1 patch release. Thank you!
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@TaoLv I tried building with the v1.5.x branch and confirmed that it failed. I cherry picked your PR in and rebuilt, and the test worked! Lets include this in the 1.5.1 patch release. |
Thanks for the prompt response @samskalicky . I will update the wiki page accordingly. |
@samskalicky #15801 is merged to v1.5.x branch. I'm now closing this issue. Thanks! |
Resnext-50 model from MXNet model zoo fails in 1.5.0 build for "mxnet-mkl" pip wheel with MKLDNN error "Unknown MKLDNN format for 5 dimensions: 108".
Works with:
Error message:
Failing code:
@PatricZhao @ZhennanQin @TaoLv @juliusshufan can you please help debug?
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