Add an input debug function in TBE training #3022
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This pull request was exported from Phabricator. Differential Revision: D61634512 |
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Summary: X-link: facebookresearch/FBGEMM#117 Pull Request resolved: pytorch#3022 This diff adds a function for printing input stats including weighted/unweighted, number of features, batch size, average pooling factor, total number of indices, number of unique indices, and number of indices that goes through the different backward functions. This function is intended for debugging only. It can enabled during runtime by setting an enviroment variable FBGEMM_DEBUG_PRINT_INPUT_STATS=1. Reviewed By: dshi7 Differential Revision: D61634512
Summary: X-link: facebookresearch/FBGEMM#117 Pull Request resolved: pytorch#3022 This diff adds a function for printing input stats including weighted/unweighted, number of features, batch size, average pooling factor, total number of indices, number of unique indices, and number of indices that goes through the different backward functions. This function is intended for debugging only. It can enabled during runtime by setting an enviroment variable FBGEMM_DEBUG_PRINT_INPUT_STATS=1. Reviewed By: dshi7 Differential Revision: D61634512
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Summary:
This diff adds a function for printing input stats including
weighted/unweighted, number of features, batch size, average pooling
factor, total number of indices, number of unique indices, and number
of indices that goes through the different backward functions. This
function is intended for debugging only. It can enabled during runtime
by setting an enviroment variable FBGEMM_DEBUG_PRINT_INPUT_STATS=1.
Differential Revision: D61634512