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This repository has been archived by the owner on Nov 17, 2023. It is now read-only.
MKL-DNN backend is released with MXNet for several versions and in the recent 1.4.0 release we announced the brand new graph optimization feature and the INT8 quantization workflow for CPU based on MKL-DNN. With these features, users can get significant performance speedup for CPU deployment. But we also notice that there are quite a few issues about how to build and use MKL-DNN backend. So I think we should improve the document for them now, including:
- build from source on different platforms
- tutorials for quantization and accuracy tuning
- tutorials for graph optimization (operator fusion)
- performance analysis and profiling
- other faqs and tips
PR list: #14202: [Doc] Start the tutorials for MKL-DNN backend #14891: [Doc] Add MKL-DNN operator list #14952: Update mkldnn window build instructions in MKLDNN_README.md #15448: [MKLDNN]Enhance Quantization APIs and Tutorial #15491: [Doc] Add MKL install method apt/yum into tutorial #16688: [MKL-DNN] Add mxnet mkldnn cmake tutorial #17198: [MKLDNN] Improve profiling doc
The text was updated successfully, but these errors were encountered:
MKL-DNN backend is released with MXNet for several versions and in the recent 1.4.0 release we announced the brand new graph optimization feature and the INT8 quantization workflow for CPU based on MKL-DNN. With these features, users can get significant performance speedup for CPU deployment. But we also notice that there are quite a few issues about how to build and use MKL-DNN backend. So I think we should improve the document for them now, including:
PR list:
#14202: [Doc] Start the tutorials for MKL-DNN backend
#14891: [Doc] Add MKL-DNN operator list
#14952: Update mkldnn window build instructions in MKLDNN_README.md
#15448: [MKLDNN]Enhance Quantization APIs and Tutorial
#15491: [Doc] Add MKL install method apt/yum into tutorial
#16688: [MKL-DNN] Add mxnet mkldnn cmake tutorial
#17198: [MKLDNN] Improve profiling doc
The text was updated successfully, but these errors were encountered: