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Feature/synchronize #3
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@@ -1,6 +1,11 @@ | |||
use_gpu: True | |||
device: 0 | |||
<<<<<<< HEAD |
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both modified
@@ -1,6 +1,11 @@ | |||
use_gpu: True | |||
device: 0 | |||
<<<<<<< HEAD |
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both modified
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It seems that there are still several conflicts.
I have resolved the conflicts accordingly. |
How about removing |
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Approve!
Co-authored-by: yuexiang.xyx <yuexiang.xyx@alibaba-inc.com> Update `tests/run.py` for Jenkins server (alibaba#4) just a workaround Feature/synchronize (alibaba#3) sync with the master branch of our original gitlab Feature/config refactor (alibaba#5) refactored configuration-related code modify README; minor fix (alibaba#6) Updated README fix gan cra loss_batch-> loss_task bug improved the environments set-up guidance improved the environments set-up guidance improved the environments set-up guidance Fix setup requirements. Update required python version to 3.9. updated auto-doc component according to the latest changes [Feature] Add dropout and log training metric. (alibaba#11) * Add dropout option for CNN and NLP model; Add training metric to logs. * allow users to determine whether to conduct evaluation on a specific split * Enable metric in global eval for users to determine whether to conduct evaluation on a specific split. * fix minor bug when importing nlp loss * Replace and remove `validate` with `evaluate(target_data_split_name=split)` to keep code clean. enabled the log file name valid in windows environment (alibaba#13) * enabled the log file name valid in windows environment update readme (alibaba#15) * update README added a demo for black-box optimization (alibaba#14) - added a demo for black-box optimization - enabled installation with cuda10 [Bugfix] fixed the invalid logger set-up if the logging is used before we call setup_logger (alibaba#17) * fixed the invalid logger set-up if the `logging` is used before we call `setup_logger` Change source of `download_url` from our own and fix `README` (alibaba#20) * Change source of `download_url` from our own `utils.py` and fix `README.md`. add logo (alibaba#26) - add logo - add more icons modify grpc_comm according to official tutorial (alibaba#25) fix path issue fix wrong logger usage reformatted Communication efficiency optimization (alibaba#19) * minor fixed for distributed mode * For the communication efficiency: dynamic type selection in gRPC servicer; transformer & parser Refactored the logger by reducing its redundancy and fixed some minor issues (alibaba#29) * Reducing the redundancy of the logger Update test_mf.py modify the unit test of mf task Refactor splitter&transform; Modify some data related config; Add external dataset. (alibaba#33) [Feature] FedEx (alibaba#37) [Feature] FedEx (alibaba#37) [Hotfix] print the missing ``Final`` results (alibaba#41) * hotfix for the missing ``Final`` results print Add pre-trained transformers as NLP model. TODO:@ZHEN, please fix online aggregator when the device is not specific. Add a example for transformers. Fix url. (alibaba#46) - added the local training baseline - enabled each client has its own early-stopper formatted by linter formatted by linter not use early_stopper in non-local mode bugfix for the cast "sample_client_num = -1" added global training mode via a proxy client that holds all data Fix un-consistent device for the PIA test added local fine-tuning before local evaluation linter format bugfix for fedex update README (alibaba#49) Feature/attack doc (alibaba#50) * improved the doc for attack module added API comments (alibaba#52) Fix docs about graph. (alibaba#51) Add api ref for mf task and context (alibaba#53) * add mf api reference and modify README.md typos fix Fix minor bugs Timeout strategy and minimal received number (alibaba#36) * For async: timeout strategy and minimal received number modify api reference (alibaba#56) update doc of core (alibaba#57) Add datasets from hugging face. Formatted and fix minor bugs. Add datasets and scripts for openml. Modify the example `yaml` of openml datasets. Add materials (paper lists, tutorials) (alibaba#60) * add FL paper list Add paper lists (alibaba#61) * add FL paper list fixed some missing API reference in fs.core (alibaba#54) As the title says. update release version (alibaba#64) Update graph paper list. (alibaba#65) Add paper list for FedHPO (alibaba#67) * added paper list for fedhpo rename and modify some val Add paper list for FedRec (alibaba#68) add paper list for FedRec added pfl paper list (alibaba#72) added pfl paper list hotfix for transformers to avoid import error updated pfl paper list (alibaba#73) updated pfl paper list fix url in dblp_new.py (alibaba#76) update README update debug squad model update update update
sync with the master branch of our original gitlab
To synchronize the code with our gitlab