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Param dlrm #127

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@shz0116 shz0116 commented Sep 7, 2020

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mnaumovfb and others added 30 commits January 26, 2020 12:16
…earch#49 Also, adding an option for early stopping based on AUC. Finally, adding exact model config for mlperf in run_and_time.sh script.

Summary: Adding support for binary loader proposed in pull request facebookresearch#49 Also, adding an option for early stopping based on AUC. Finally, adding exact model config for mlperf in run_and_time.sh script.

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Reviewers:

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Tasks:

Tags:
* Fix command-line flag typo

* Remove the end-of-epoch evaluation in MLPerf mode to avoid two evals close to each other
… Also, enforcing single copy of embeddings across devices on multiple GPUs.
…y batches when enumerate is used.

Summary: Adjusting restart from saved model during training. Need to skip early batches when enumerate is used.

Test Plan:

Reviewers:

Subscribers:

Tasks:

Tags:
* adding script to visualize embedding tables

* updated embedding visualization
* adding script to visualize embedding tables

* updated embedding visualization

* updating visualization

- adding data visualization
- analysis of categorical variables

* updated data visualization

- mapping test data into manifold

* created double plot for data visualization

* added plots for each data class

* aaded more plots: correct and erros, refactored the code

* more refactoring, added z data

* added intermidiate Z layers

* updating visualization

* updated output directory and plots

* fixed silent bug
* bugfixes for mixd

* remove whitespace
* Fix LR decay – allow a period of training with a constant base LR between warmup end step and decay start step

* Bump pytorch version for multiGPU memory corruption bugfix
* sunc 2020-06-26

* cleanup, format, testing after all updates
@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Sep 7, 2020
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Reducing the number of interaction features for the dot operation.
A project operation is applied to the dotted features to reduce its dimension size.
This is mainly due to the memory concern. It reduces the memory size needed for top MLP.
A side effect is that it may also imrpove the model accuracy.
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Typo: imrpove->improve.

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