Reuse direct grouped FP8 quantizers for blockwise MoE

[iamzainhuda]

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[pytorch-bot]

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/4551

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❌ 2 New Failures, 1 Unrelated Failure

As of commit b7d09da with merge base d1e0e2d ():

NEW FAILURES - The following jobs have failed:

• PR Label Check / Check PR Labels (gh)
  Process completed with exit code 1.
• Run 1xL4 Tests / test (SM-89, linux.g6.4xlarge.experimental.nvidia.gpu, --pre torch --index-url https://download.p... / linux-job (gh)
  RuntimeError: Command docker exec -t 8c01cf5bca6c13e483ffa0083e4e6b906769657b723ebe3354b163c75ce777c0 /exec failed with exit code 1

BROKEN TRUNK - The following job failed but were present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

• Run Regression Tests / test-nightly (CUDA Nightly, linux.g5.12xlarge.nvidia.gpu, --pre torch torchvision --index-url htt... / linux-job (gh) (trunk failure)
  test/test_low_bit_optim.py::TestFSDP2::test_uneven_shard

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