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Subject [GitHub] xinyu-intel opened a new pull request #12808: MKL-DNN Quantization Examples and README
Date Fri, 12 Oct 2018 11:15:43 GMT
xinyu-intel opened a new pull request #12808: MKL-DNN Quantization Examples and README
   ## Description ##
   This is a PR to add MKL-DNN Quantization Examples and README based on subgraph feature.
   @zheng-da, @azai91, @reminisce, @TaoLv, @pengzhao-intel
   ## Checklist ##
   ### Essentials ###
   Please feel free to remove inapplicable items for your PR.
   - [ ] The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to the relevant
[JIRA issue]( created (except PRs with
tiny changes)
   - [ ] Changes are complete (i.e. I finished coding on this PR)
   - [x] All changes have test coverage:
   - Unit tests are added for small changes to verify correctness (e.g. adding a new operator)
   - Nightly tests are added for complicated/long-running ones (e.g. changing distributed
   - Build tests will be added for build configuration changes (e.g. adding a new build option
with NCCL)
   - [x] Code is well-documented: 
   - For user-facing API changes, API doc string has been updated. 
   - For new C++ functions in header files, their functionalities and arguments are documented.

   - For new examples, is added to explain the what the example does, the source
of the dataset, expected performance on test set and reference to the original paper if applicable
   - Check the API doc at$PR_ID/$BUILD_ID/index.html
   - [x] To the my best knowledge, examples are either not affected by this change, or have
been fixed to be compatible with this change
   ### Changes ###
   - [x] Improve image-classification quantization script to support more models converted
from Gluon-CV.
   - [x] Improve init_param function to support min, max node in quantized graph. Test case
has been added and passed.
   - [x] Improve image-classification inference script to support dummy data inference.
   - [x] Improve SSD evaluate script to support specific num_batch and dry run.
   - [x] Add quantization script for SSD-VGG16 and improve its benchmark script to support
quantized SSD.
   - [x] Add quantization README in which take ResNet50-v1, SSD-VGG16 and Squeezenet1.0 as
examples and give brief introduction to quantize a custom symbol.
   - [x] Add subgraph instruction in MKLDNN_README and Performance page.
   ## Comments ##
   - Performance [here]( has not
been updated.

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