[RELEASE TEST] Make nvidia-smi non-fatal in Windows CUDA CI

[manuelcandales]

Some Windows GPU runners don't have nvidia-smi available even though the CUDA toolkit (nvcc) is properly installed. The nvidia-smi call is purely informational — the actual CUDA toolchain validation is done by nvcc --version and the version check that follows.

[pytorch-bot]

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/18564

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❌ 4 New Failures, 4 Cancelled Jobs

As of commit 0919861 with merge base 8c0a60b ():

NEW FAILURES - The following jobs have failed:

• pull / unittest-arm-backend-with-no-deps (test_pytest_ops_tosa) / linux-job (gh)
  RuntimeError: Command docker exec -t faa8ed5607ad1025afbd3de6950910f05e4e3cad36301fa42770ab8b4b5cfa0a /exec failed with exit code 1
• Test CUDA Builds / export-model-cuda-artifact (google, gemma-3-4b-it, non-quantized) / linux-job (gh)
  RuntimeError: Command docker exec -t 94c919e1a13992f32354bce9ae307f9cd8f0af0e55a52bba97bfe8dd19d61064 /exec failed with exit code 1
• Test CUDA Builds / export-model-cuda-artifact (mistralai, Voxtral-Mini-3B-2507, non-quantized) / linux-job (gh)
  RuntimeError: Command docker exec -t c2acb927205b3734ac607920519fe9aefe2e7325e72909675d87b7d45a0aaa85 /exec failed with exit code 1
• Test CUDA Windows Export and E2E / test-model-cuda-windows-e2e (nvidia, diar_streaming_sortformer_4spk-v2, non-quantized) / windows-job (gh)
  Process completed with exit code 1.

CANCELLED JOBS - The following jobs were cancelled. Please retry:

• pull / unittest / macos / macos-job (gh)
  ##[error]The operation was canceled.
• pull / unittest-editable / macos / macos-job (gh)
  ##[error]The operation was canceled.
• trunk / test-llama-runner-mac (fp32, mps) / macos-job (gh)
  ##[error]The operation was canceled.
• trunk / unittest-release / macos / macos-job (gh)
  ##[error]The operation was canceled.

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