Upgrading nnlib to latest version 4.2.0

[dijopaul]

Summary

Cadence tensilical NNLIb library upgraded to latest version 4.2.0

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/7034

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❗ 1 Active SEVs

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• [DomainsOnly] Jobs fail with GLIBC version not found

❌ 8 New Failures

As of commit 4ec3e6b with merge base 84222a9 ():

NEW FAILURES - The following jobs have failed:

• Lint / lintrunner / linux-job (gh)
  >>> Lint for backends/qualcomm/quantizer/custom_annotation.py:
• pull / test-llama-runner-linux (bf16, custom) / linux-job (gh)
  RuntimeError: Command docker exec -t 134d45508d762f1c272008f31db687b009ec1d9cbb1028d40f7a00075c01b73a /exec failed with exit code 1
• pull / test-llama-runner-linux (bf16, portable) / linux-job (gh)
  RuntimeError: Command docker exec -t e2e76b2483ae42635dfbc33469b570d43a91f03692d13604276418aa5157733c /exec failed with exit code 1
• pull / test-llama-runner-linux (fp32, portable) / linux-job (gh)
  RuntimeError: Command docker exec -t 7f2bcd01c5580005544050a30e7c551f8d561472575ec673fa0c9d23d389543c /exec failed with exit code 1
• pull / test-llama-runner-linux (fp32, xnnpack+custom) / linux-job (gh)
  RuntimeError: Command docker exec -t 90805c4d95e667ccf63fd452b28d64b9ef9c78e8ee297ff5791a7a723020519d /exec failed with exit code 1
• pull / test-llama-runner-linux (fp32, xnnpack+custom+qe) / linux-job (gh)
  RuntimeError: Command docker exec -t 2bc815a0321885402617974455d77bce723b12cf3eddd071f7d41f8374ea7886 /exec failed with exit code 1
• pull / test-llama-runner-qnn-linux (fp32, qnn) / linux-job (gh)
  RuntimeError: Command docker exec -t 95fdbad85e857448d7d229313ce44d49752032dcf2bac7ecbb58312b0030954c /exec failed with exit code 1
• pull / unittest / macos / macos-job (gh)
  ##[error]fatal: unable to access 'https://git.mlplatform.org/ml/ethos-u/ethos-u-core-driver.git/': Failed to connect to git.mlplatform.org port 443 after 6 ms: Couldn't connect to server

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[pytorch-bot]

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[dijopaul]

@pytorchbot label "topic: not user facing"