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Fixed issue where the estimator was printing beyond the dataset size … #14464
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…for the last batch
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@mxnet-label-bot Add [Gluon] |
roywei
approved these changes
Mar 18, 2019
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Thank you for your contribution. LGTM |
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@mxnet-label-bot Update [Gluon, pr-awaiting-merge] |
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Merged. Thanks for your contribution! |
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Is it merged into the branch fit-api? |
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@wkcn yes, that feature is being developed in the feature branch. |
piyushghai
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Apr 5, 2019
apache#14464) * Fixed issue where the estimator was printing beyond the dataset size for the last batch * Added comments * Nudge to CI
nswamy
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Apr 5, 2019
apache#14464) * Fixed issue where the estimator was printing beyond the dataset size for the last batch * Added comments * Nudge to CI
roywei
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May 15, 2019
apache#14464) * Fixed issue where the estimator was printing beyond the dataset size for the last batch * Added comments * Nudge to CI
roywei
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May 15, 2019
apache#14464) * Fixed issue where the estimator was printing beyond the dataset size for the last batch * Added comments * Nudge to CI
szha
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May 18, 2019
* [MXNet-1334][Fit API]base class for estimator and eventhandler (#14346) * base class for estimator and eventhandler * add license * add event handlers * fix pylint * improve arg check * fix pylint * add unit tests * Fixed issue where the estimator was printing beyond the dataset size … (#14464) * Fixed issue where the estimator was printing beyond the dataset size for the last batch * Added comments * Nudge to CI * [MXNet-1349][Fit API]Add validation support and unit tests for fit() API (#14442) * added estimator unittests * add more tests for estimator * added validation logic * added error handlers, unittests * improve val stats * fix pylint * fix pylint * update unit test * fix tests * fix tests * updated metrics, val logic * trigger ci * trigger ci * update metric, batch_fn error handler * update context logic, add default metric * [MXNet-1340][Fit API]Update train stats (#14494) * add train history * update history * update test * avoid calling empty methods * remove train history object * fix pylint * add unit test * fix test * update categorize handlers * [MXNet-1375][Fit API]Added RNN integration test for fit() API (#14547) * Added RNN integration test for fit() API * Addressed review comments: change in JenkinFile, tmp directory, ctx with condense if/else, renamed imports * CPU test doesn't require nvidiadocker container * Modified the structure by removing the redundant code * [MXNet-1343][Fit API]Add CNN integration test for fit() API (#14405) * added cnn intg tests for fit api * updated cnn intg tests * added functions for nightly test * updated runtime_function * updated intg tests * updated init, datapath, refs * added validation data * update cpu test * refactor code * updated context * [MXNET-1344, 1346][FIT API] Retrieve Batch size and Logging verbose support for Gluon fit() API (#14587) * Retrieve Batch size and Logging verbose support for Gluon fit() API * NIT changes * Addressed review comments: shifted the batch size code to a separate method, sentence correction * Modified unittest * removed redundant parameter * Resolve CI test failure * only support DataLoader for now, future PRs will include DataIter to DataLoader converter * Get the number of samples from shape attribute instead of length due to low space complexity * Simplified batch size retrieval code * removed batch_size parameter from fit() method and fixed the tests * Verbose exception handling * Assigning constant to a verbose * Modified exception message * Resolved undefined class reference * Addressed review comments: Modified verbose level names, docs, variable names * Update estimator.py * move estimator to contrib (#14633) * move to gluon contrib (#14635) * [Fit API] improve event handlers (#14685) * improve event handlers * update tests * passing weakref of estimator * fix unit test * fix test * fix pylint * fix test * fix pylint * move default metric logic * combine nightly tests * [MXNET-1396][Fit-API] Update default handler logic (#14765) * move to nightly for binaries * update default handler * fix pylint * trigger ci * trigger ci * [Fit API] update estimator (#14849) * address comments * add comment * check available context * fix bug * change cpu check * [Fit-API] Adress PR comments (#14885) * address comments * update checkpoint * test symbol save * address comments * add resume * update doc and resume checkpoint * update docs * trigger ci * trigger ci
szha
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May 20, 2019
#14464) * Fixed issue where the estimator was printing beyond the dataset size for the last batch * Added comments * Nudge to CI
haohuanw
pushed a commit
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Jun 23, 2019
* [MXNet-1334][Fit API]base class for estimator and eventhandler (apache#14346) * base class for estimator and eventhandler * add license * add event handlers * fix pylint * improve arg check * fix pylint * add unit tests * Fixed issue where the estimator was printing beyond the dataset size … (apache#14464) * Fixed issue where the estimator was printing beyond the dataset size for the last batch * Added comments * Nudge to CI * [MXNet-1349][Fit API]Add validation support and unit tests for fit() API (apache#14442) * added estimator unittests * add more tests for estimator * added validation logic * added error handlers, unittests * improve val stats * fix pylint * fix pylint * update unit test * fix tests * fix tests * updated metrics, val logic * trigger ci * trigger ci * update metric, batch_fn error handler * update context logic, add default metric * [MXNet-1340][Fit API]Update train stats (apache#14494) * add train history * update history * update test * avoid calling empty methods * remove train history object * fix pylint * add unit test * fix test * update categorize handlers * [MXNet-1375][Fit API]Added RNN integration test for fit() API (apache#14547) * Added RNN integration test for fit() API * Addressed review comments: change in JenkinFile, tmp directory, ctx with condense if/else, renamed imports * CPU test doesn't require nvidiadocker container * Modified the structure by removing the redundant code * [MXNet-1343][Fit API]Add CNN integration test for fit() API (apache#14405) * added cnn intg tests for fit api * updated cnn intg tests * added functions for nightly test * updated runtime_function * updated intg tests * updated init, datapath, refs * added validation data * update cpu test * refactor code * updated context * [MXNET-1344, 1346][FIT API] Retrieve Batch size and Logging verbose support for Gluon fit() API (apache#14587) * Retrieve Batch size and Logging verbose support for Gluon fit() API * NIT changes * Addressed review comments: shifted the batch size code to a separate method, sentence correction * Modified unittest * removed redundant parameter * Resolve CI test failure * only support DataLoader for now, future PRs will include DataIter to DataLoader converter * Get the number of samples from shape attribute instead of length due to low space complexity * Simplified batch size retrieval code * removed batch_size parameter from fit() method and fixed the tests * Verbose exception handling * Assigning constant to a verbose * Modified exception message * Resolved undefined class reference * Addressed review comments: Modified verbose level names, docs, variable names * Update estimator.py * move estimator to contrib (apache#14633) * move to gluon contrib (apache#14635) * [Fit API] improve event handlers (apache#14685) * improve event handlers * update tests * passing weakref of estimator * fix unit test * fix test * fix pylint * fix test * fix pylint * move default metric logic * combine nightly tests * [MXNET-1396][Fit-API] Update default handler logic (apache#14765) * move to nightly for binaries * update default handler * fix pylint * trigger ci * trigger ci * [Fit API] update estimator (apache#14849) * address comments * add comment * check available context * fix bug * change cpu check * [Fit-API] Adress PR comments (apache#14885) * address comments * update checkpoint * test symbol save * address comments * add resume * update doc and resume checkpoint * update docs * trigger ci * trigger ci
haohuanw
pushed a commit
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Jun 23, 2019
apache#14464) * Fixed issue where the estimator was printing beyond the dataset size for the last batch * Added comments * Nudge to CI
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…for the last batch
Description
As title.
@roywei @abhinavs95 @karan6181