[ET-VK] Allow aten.cat.default to handle any number of input tensors

[SS-JIA]

Stack from ghstack (oldest at bottom):

• [ET-VK][ez] Fix registration for convolution operator #13227
• -> [ET-VK] Allow aten.cat.default to handle any number of input tensors #13226

Context

Previously, I updated the implementation of aten.cat.default in D76305343 (#11508) since the original implementation had a bug. The new implementation only supported up to 3 input tensors, but several models require the need for up to 6 input tensors.

This diff updates the capabilities of the concat op so that any arbitrary number of input tensors may be accepted.

Changes

• Update implementation of the concat shader to be able to be called repeatedly, allowing support for any number of input tensors.

Differential Revision: D79893084

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/13226

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❌ 3 New Failures, 2 Unrelated Failures

As of commit 40c77e4 with merge base 0f70a5d ():

NEW FAILURES - The following jobs have failed:

• Build documentation / build (buck2) / Build doc (gh)
  At least one of the pre-conditions you specified did not hold
• pull / test-models-linux (phi_4_mini, portable, linux.4xlarge.memory) / linux-job (gh)
  RuntimeError: Command docker exec -t e082a409e53630f129598d055233ea021b85d4395399472ef1f2601489464a66 /exec failed with exit code 1
• pull / test-moshi-linux / linux-job (gh)
  RuntimeError: Command docker exec -t bce9badbf1e1111fe79e6d9e0f585c9977d3a2e3736164ea5714d5faf6e9b311 /exec failed with exit code 1

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

• pull / test-models-linux (ic4, portable, linux.4xlarge.memory) / linux-job (gh) (detected as infra flaky with no log or failing log classifier)

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

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

• pull / test-openvino-linux / linux-job (gh) (trunk failure)
  AttributeError: '_OpNamespace' 'quantized_decomposed' object has no attribute 'convert_element_type'

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[facebook-github-bot]

This pull request was exported from Phabricator. Differential Revision: D79893084

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[manuelcandales]

why is this input tuple formatted differently?

[manuelcandales]

do you test somewhere else what what happens when invalid inputs are provided? i.e. can you gracefully handle wrong dimensions/incompatible shapes?

[facebook-github-bot]

This pull request was exported from Phabricator. Differential Revision: D79893084