- 30 Oct, 2020 1 commit
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liuzhe-lz authored
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- 19 Oct, 2020 1 commit
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liuzhe-lz authored
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- 05 Jun, 2020 1 commit
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Chi Song authored
others 1. fix failed curve fitting UTs, due to code changes. 1. move all SDK UTs to tests folder, so that they can be run in default tests. 1. fix some deprecated ut assert function calls.
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- 18 May, 2020 1 commit
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Himashi Amanda Peiris authored
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- 25 Nov, 2019 1 commit
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liuzhe-lz authored
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- 11 Nov, 2019 1 commit
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xuehui authored
* update docstring of batchtuner * update docstring of batch tuner * update docstring of evolution tuner * update docstring and pylint of metis_tuner * fix pylint related to logger in metis_tuner * fix pylint * update * fix pylint in metis_tuner * update in networkmorphsim_tuner * update * update * update docstring in hyperopt_tuner * update batch_tuner * delete unused space * update in metis * update sdk_reference.rst * update netowrkmorhism * update networkmorphsim * update batch_tuner * update batch_tuner * update * update metis * roll back to print * update Returns * update * delete white space
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- 26 Dec, 2018 1 commit
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Zejun Lin authored
* fix bug * add docs * add ut * add ut * add to ci * update doc * update doc * update ut * add ut to ci * add ut to ci * add ut to ci * add ut to ci * add ut to ci * add ut to ci * add ut to ci * add ut to ci * test * test * test * test * test * test * test * test * test * test * revert * refactor * refactor * s * merge
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- 13 Dec, 2018 1 commit
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Lee authored
* Quick fix nnictl config logic (#289) * fix nnictl bug * fix install.sh * add desc for Dockerfile.build.base * update document for Dockerfile * update * refactor port detect * update * refactor NNICTLDOC.md * add document for pai and nnictl * add default value for port * add exception handling in trial_keeper.py * fix port bug * fix resume * fix nnictl resume and fix nnictl stop * fix document * update * refactor nnictl * update * update doc * update * update nnictl * fix comment * revert dockerfile * update * update * update * fix nnictl error hit * fix comments * fix bash-completion * fix paramiko install * quick fix resume logic * update * quick fix nnictl * PR merge to 0.3 (#297) * refactor doc * update with Mao's suggestions * Set theme jekyll-theme-dinky * update doc * fix links * fix links * fix links * merge * fix links and doc errors * merge * merge * merge * merge * Update README.md (#288) added License badge * merge * updated the "Contribute" part (merged Gems' wiki in, updated ReadMe) * fix link * fix doc mistakes and broken links. (#271) * refactor doc * update with Mao's suggestions * Set theme jekyll-theme-dinky * updated the "Contribute" part (merged Gems' wiki in, updated ReadMe) * fix link * Update README.md * Fix misspelling in examples/trials/ga_squad/README.md * revise the installation cmd to v0.2 * revise to install v0.2 * remove enas readme (#292) * Fix datastore performance issue (#301) * Fix nnictl in v0.3 (#299) Fix old version of config file fix sklearn requirements Fix resume log logic * add basic tuner and trial for network morphism * Complete basic receive_trial_result() and generate_parameters(). Use onnx as the intermediate representation ( But it cannot convert to pytorch model ) * add tensorflow cifar10 for network morphism * add unit test for tuner and its function * use temporary torch_model * fix request bug and program can communicate nni * add basic pickle support for graph and train successful in pytorch * Update unittest for networkmorphism_tuner * Network Morphism add multi-gpu trial training support * Format code with black tool * change intermediate representation from pickle file to json we defined * successfully pass the unittest for test_graph_json_transform * add README for network morphism and it works fine in both Pytorch and Keras. * separate the original Readme.md in network-morphism into two parts (tuner and trial) * change the openpai image path * beautify the file structure of network_morphism and add a fashion_mnist keras example * pretty the source and add some docstring for funtion in order to pass the pylint. * remove unused module import and add some docstring * add some details for the application scenario Network Morphism Tuner * follow the advice and modify the doc file * add the config file for each task in the examples trial of network morphism * change default python interpreter from python to python3
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