Fix dilation errors in quantized conv1d kernels

[mcremon-meta]

Summary: As titled. Dilation is hardcoded to 1, so results are wrong if it's not 1. Fallback to generic for that case, and add proper support there.

Differential Revision: D97251741

[pytorch-bot]

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/18323

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

As of commit e47fa38 with merge base b2f0a5a ():

NEW FAILURES - The following jobs have failed:

• Lint / lintrunner (gh)
  >>> Lint for backends/cadence/hifi/operators/op_quantized_conv1d_nlc.cpp:
• pull / unittest-editable / macos / macos-job (gh)
  backends/xnnpack/test/ops/test_conv2d.py::TestConv2d::test_fp16_conv2d

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

• pull / unittest / windows / windows-job (gh)

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

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

• pull / unittest-editable / windows / windows-job (gh) (trunk failure)
  ##[error]The operation was canceled.

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[meta-codesync]

@mcremon-meta has exported this pull request. If you are a Meta employee, you can view the originating Diff in D97251741.

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