[ET-VK][ops] Add batch support to q8ta convolutions

[SS-JIA]

Stack from ghstack (oldest at bottom):

• -> [ET-VK][ops] Add batch support to q8ta convolutions #22254
• [ET-VK][runtime][3/3] Enforce device-safe dispatch geometry #22225
• [ET-VK][runtime][2/3] Add typed dispatch size abstractions #22224
• [ET-VK][runtime][1/3] Prepare linear shaders for 2D dispatch #22223
• [ET-VK][ops] Move group norm reduction lanes to Z #22222

Add batch-aware direct, pointwise, depthwise, and im2col q8ta convolution dispatch. Batched im2col uses an NCHW scratch tensor and batch-strided shader indexing, with conservative groups=1 high-K/small-spatial routing bounded by a 32 MiB scratch cap. Grouped and large-spatial convolutions stay on the direct path. Authored with Codex.

Differential Revision: D117869783

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/22254

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✅ You can merge normally! (1 Unrelated Failure)

As of commit 7317611 with merge base a5f15b5 ():

FLAKY - The following job failed but was likely due to flakiness present on trunk:

• pull / test-qnn-testsuite-linux / test-backend-linux (qnn, models) / linux-job (gh) (detected as infra flaky with no log or failing log classifier)

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