Comments (1)
gujinghui
commented on September 5, 2024
@ezyang
the mkldnn-bridge for pytorch/caffe2 is being separate from ideep chainer.
we're reducing the LOC and improving the API only for pytorch/caffe2.
when done, we plan to make the mkldnn-bridge as a part of pytorch/caffe2, instead of a submodule.
from ideep.
Related Issues (20)
- which ideep branch is meant for pytorch integration? HOT 8
- OneDNN3.x support timelines HOT 7
- Let user use system installed mkl-dnn, googltest, rapidcheck ? HOT 1
- README inaccurately says it's chainer bindings HOT 1
- What is the oneDNN version for PyTorch 2.3 release?
- 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
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- [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
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from ideep.