Use wrappers from xnnpack.h for unary and binary ops (#11584)

[abhinaykukkadapu]

Summary

This PR uses xnn_define_binary and xnn_define_unary to define XNNPack ops, instead of separately calling the individual definitions.

Fixes #11584

Test plan

## Build steps
cmake -DEXECUTORCH_BUILD_XNNPACK=ON ..
cmake --build cmake-out -j9

Tests ran:
./test/run_oss_cpp_tests.sh
.
.
.
100% tests passed, 0 tests failed out of 86

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/11666

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❌ 1 New Failure

As of commit 2538d39 with merge base 56392aa ():

NEW FAILURE - The following job has failed:

• Lint / lintrunner / linux-job (gh)
  RuntimeError: Command docker exec -t ba96963fa04130bae9526a4509158f1cc3c983bd024de60ba704f0bbad047651 /exec failed with exit code 127

This comment was automatically generated by Dr. CI and updates every 15 minutes.

[abhinaykukkadapu]

@pytorchbot label "release notes: none"

[abhinaykukkadapu]

lint runner failure seems unrelated. Local lint run is successful:

$ lintrunner -a
Warning: Could not find a lintrunner config at: '.lintrunner.private.toml'. Continuing without using configuration file.
  FLAKE8 success!
  CMAKE success!
  CLANGFORMAT success!
  UFMT success!
  ETCAPITAL success!
  NEWLINE success!
  NOTORCHINC success!
  NOSTDINC success!
  MYPY success!
  LICENSELINT success!
  TORCH_AO_IMPORT success!
ok No lint issues.
Successfully applied all patches.