Support optional flag to clamp gradient in 'backward' to prevent crash#48
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daniel347x wants to merge 6 commits intoBachiLi:masterfrom
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Support optional flag to clamp gradient in 'backward' to prevent crash#48daniel347x wants to merge 6 commits intoBachiLi:masterfrom
daniel347x wants to merge 6 commits intoBachiLi:masterfrom
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This commit addresses a very intermittent, but deadly crash bug that is destroying my training runs - a very occasional infinite gradient in the 'backward' function. In this commit, functionality remains unchanged by default. However, an optional flag has been added that allows clamping the gradient in the 'backward' function. The flag takes the form of an int or sequence giving the max value (or min/max if sequence). An optional third value in the passed sequence is interpreted as a Boolean that indicates whether to print a warning to the console whenever an infinite gradient is clamped. The default is False. Support for PyTorch only.
…tions Also, add dummy argument in 'backward' to match new backward_clamp_gradient_mag argument
…at's the whole purpose of this PR
daniel347x
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Let me ponder a bit what is the best way to do this. If I can't figure out a better/easier way I'll merge this. : > |
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Identical PR to #45 - but using a dedicated branch from my forked repository so I can continue making other changes in the fork.