Prioritise FuseBatchnorm2D over DecomposeBatchNormPass

[tom-arm]

• As it is preferable to fuse batch_norm over decomposing it, prioritise this pass higher

Change-Id: I353d324ca31b85f1c62c866c93b49253ab7b4014

cc @digantdesai @freddan80 @per @zingo @oscarandersson8218

[pytorch-bot]

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❗ 1 Active SEVs

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• ROCM Infra failures during checkout of PyTorch

❌ 2 New Failures, 1 Cancelled Job, 2 Unrelated Failures

As of commit b8060ae with merge base 637cc32 ():

NEW FAILURES - The following jobs have failed:

• trunk / test-models-macos (cmake, llama3_2_vision_encoder, portable, macos-m1-stable, 90) / macos-job (gh)
  RuntimeError: Command bash /Users/ec2-user/runner/_work/_temp/exec_script failed with exit code 1
• trunk / test-models-macos (cmake, mobilebert, portable, macos-m1-stable, 90) / macos-job (gh)
  RuntimeError: Command bash /Users/ec2-user/runner/_work/_temp/exec_script failed with exit code 1

CANCELLED JOB - The following job was cancelled. Please retry:

• trunk / test-models-macos (cmake, llama, portable, macos-m1-stable, 90) / macos-job (gh)
  ##[error]The operation was canceled.

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

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

• pull / test-eval_llama-mmlu-linux / linux-job (gh) (trunk failure)
  ##[error]The operation was canceled.
• pull / test-llava-runner-linux / linux-job (gh) (trunk failure)
  ##[error]The operation was canceled.

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[zingo]

Failed tests are unrelated