Avoid amax roll for non-run modules #825
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Signed-off-by: Kirthi Shankar Sivamani <[email protected]>
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/te-ci pytorch |
cyanguwa
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Signed-off-by: Kirthi Shankar Sivamani <[email protected]>
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This fixes the bug discussed in #786 (review). Previously, if the amax history length didn't match the number of grad accumulation steps, the FP8 scaling factors could change in a step where the FP8 data does not change. |
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Signed-off-by: Kirthi Shankar Sivamani <[email protected]> Signed-off-by: Pawel Gadzinski <[email protected]>
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Signed-off-by: Kirthi Shankar Sivamani <[email protected]> Signed-off-by: Pawel Gadzinski <[email protected]>
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Signed-off-by: Kirthi Shankar Sivamani <[email protected]> Signed-off-by: Pawel Gadzinski <[email protected]>
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Description
The amax history should be rolled only for modules which ran and thus produced a non-zero amax. This bug was introduced in #575.
Fixes #814
Type of change