Comments (11)
on track. will update here if any.
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mkl-dnn works as an submodule in this repo, however its latest version depends on global cmake variables, such as CMAKE_SOURCE_DIR, CMAKE_BINARY_DIR, which will lead to building error for ideep, we are contacting with mkl-dnn team for the solution now.
from ideep.
grad to tell you that I was told by mkl-dnn team that they will fix the global cmake variables dependency problem on v0.17, so hopefully we can update mkl-dnn version in one or two weeks. sorry for keeping you waiting.
from ideep.
@kleisauke that PR has been merged to master on https://github.com/01org/mkl-dnn.git, however, during our release test, we found that there is another issue we need to fix. Anyway, we plan to update submodule of MKL-DNN this Friday. Sorry for the delay.
from ideep.
The above PR has been merged. 🎉
I noticed that the submodule URL of MKL-DNN is still on
https://github.com/01org/mkl-dnn.git
instead thanhttps://github.com/intel/mkl-dnn.git
(see here). Perhaps the URL also needs to be updated?
Sure. Will fix the URL.
from ideep.
@kleisauke we have updated ideep(and mkldnn version) in master branch, which includes the fix for GCC-8 compilation problem. we did not update mkldnn to latest version since there is some bugs we need to handle. Thanks.
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thanks for the notification, we will try and see.
from ideep.
any progress on this?
from ideep.
mkl-dnn team won't include the fix on v0.17, but they will push the fix to github master in 1 week, so we will update mkl-dnn version once we got the fix and finish the corresponding test. sorry for keeping you waiting.
from ideep.
I just came across PR pytorch/pytorch#14308, thanks!
from ideep.
The above PR has been merged. 🎉
I noticed that the submodule URL of MKL-DNN is still on https://github.com/01org/mkl-dnn.git
instead than https://github.com/intel/mkl-dnn.git
(see here). Perhaps the URL also needs to be updated?
from ideep.
Related Issues (20)
- Let user use system installed mkl-dnn, googltest, rapidcheck ? HOT 1
- README inaccurately says it's chainer bindings HOT 1
- Doesn't expose version HOT 1
- Question: interoperability with TBB HOT 2
- Is this project dead? HOT 3
- Please allow to use the external mkl-dnn installed as a package HOT 6
- tests break: fatal error: 'mkl_vsl.h' file not found HOT 2
- Make the Windows build functional HOT 21
- Any update for mkl-dnn is now updated to dnnl? HOT 6
- question: project status? HOT 4
- [feature request] add example code for ideep on the pytorch_dnnl{,_dev} branch
- oneDNN compatibility? HOT 2
- question: mkl-dnn upgrade for PyTorch HOT 1
- question about test operators HOT 1
- question about which version to use HOT 25
- mkl-dnn version used by PyTorch causes internal compiler error when built by latest VS2019 HOT 8
- PyPI package wheel files for Python 3.8 HOT 4
- which ideep branch is meant for pytorch integration? HOT 8
- OneDNN3.x support timelines HOT 7
- What is the oneDNN version for PyTorch 2.3 release?
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