add progress bar to TracInCPFastRandProj.__init__ #899
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This pull request was exported from Phabricator. Differential Revision: D34803544 |
Summary: Pull Request resolved: pytorch#898 - add progress bar to all computations involving iterating over all batches in the training data - add test, but only for case where `influence_src_dataloader` implements `len` Differential Revision: D34776754 fbshipit-source-id: ebd98aaf11390bac0b2b513512f5c07d593773dd
Summary: Pull Request resolved: pytorch#899 - adds progress bar for computation done in `TracInCPFastRandProj.__init__`, as well as a `show_progress` argument - actual computation is done in `TracInCPFastRandProj._get_intermediate_quantities_tracincp_fast_rand_proj`. This method is changed so that the outer loop is over training batches (as opposed to over checkpoints), so that it is actually possible to report how many batches have been processed. - add a new "mode" to `test_tracin_show_progress` and use it to test. Differential Revision: D34803544 fbshipit-source-id: 3be88d853361139aa2e8199eec6ec9bb1f340902
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This pull request was exported from Phabricator. Differential Revision: D34803544 |
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Summary:
TracInCPFastRandProj.__init__, as well as ashow_progressargumentTracInCPFastRandProj._get_intermediate_quantities_tracincp_fast_rand_proj. This method is changed so that the outer loop is over training batches (as opposed to over checkpoints), so that it is actually possible to report how many batches have been processed.test_tracin_show_progressand use it to test.Differential Revision: D34803544