Add analysis of FP8 + activation checkpointing memory issue
- Identified root cause: FP8 implementation unaware of checkpointing context
- FP8 always saves HP tensors, conflicting with checkpointing memory savings
- Documented issue in float8_linear.py matmul_with_hp_or_float8_args function
- Proposed solution with checkpointing context detection
- Includes implementation plan and expected benefits
:link: Helpful Links
:test_tube: See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/3349
- :page_facing_up: Preview Python docs built from this PR
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:x: 1 New Failure
As of commit ade779e2cd4978831a5c40789b7edf7947639b7d with merge base e1102278e1d16e61492c822633de6d9b207ec834 ():
NEW FAILURE - The following job has failed:
- PR Label Check / Check PR Labels (gh)
Process completed with exit code 1.
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