Move CUDAGuard/CUDAStreamGuard static_assert tests out of CUDA fixtures

[psiddh]

Summary:
The 6 type-trait checks below were defined as TEST_F(CUDAGuardTest, ...)
and TEST_F(CUDAStreamGuardTest, ...). Both fixtures' SetUp() calls
GTEST_SKIP() when no CUDA device is available, so on every test host
without an attached GPU these tests skip instead of running:

CUDAGuardTest.CopyConstructorDeleted
CUDAGuardTest.CopyAssignmentDeleted
CUDAGuardTest.MoveAssignmentDeleted
CUDAStreamGuardTest.CopyConstructorDeleted
CUDAStreamGuardTest.CopyAssignmentDeleted
CUDAStreamGuardTest.MoveAssignmentDeleted

Because they never produced a successful run (Passes: 0 across 173 / 23
runs, all skips), TestX auto-disabled them and they show up as DISABLED
on the executorch dashboard.

These are pure compile-time static_assert checks. They do not need a
CUDA device or any runtime state — if the file compiles, they pass.
Move them into a separate non-fixture test suite (CUDAGuardCompileTimeTest /
CUDAStreamGuardCompileTimeTest) so they run unconditionally.

The remaining 15 fixture-based tests still need a real CUDA device and
will be addressed separately (fixing the gpu-remote-execution platform
deps so cudaGetDeviceCount returns a non-zero value).

Reviewed By: Gasoonjia

Differential Revision: D103937761

[pytorch-bot]

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❌ 2 New Failures, 1 Cancelled Job, 31 Pending, 2 Unrelated Failures

As of commit e3776aa with merge base 5d07ce0 ():

NEW FAILURES - The following jobs have failed:

• Build Presets / linux (linux, linux.2xlarge, executorch-ubuntu-22.04-clang12) / build (gh)
• Build Presets / windows (windows) / build (gh)

CANCELLED JOB - The following job was cancelled. Please retry:

• periodic (gh)

FLAKY - The following jobs failed but were likely due to flakiness present on trunk:

• pull / test-parakeet-xnnpack-linux / linux-job (gh) (detected as infra flaky with no log or failing log classifier)
• Test Vulkan Backend / test-vulkan / test-backend-linux (vulkan, operators) / linux-job (gh) (detected as infra flaky with no log or failing log classifier)

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[meta-codesync]

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[Copilot]

Pull request overview

This PR fixes CUDA unit-test reporting by moving pure compile-time trait checks out of GPU-dependent fixtures, so they run on hosts without an attached CUDA device. In the ExecuTorch AOTI slim CUDA tests, this prevents static-assert-only tests from being skipped and auto-disabled simply because fixture setup requires runtime CUDA availability.

Changes:

• Moved CUDAGuard copy/move-deletion trait checks from TEST_F to a standalone TEST suite.
• Moved CUDAStreamGuard copy/move-deletion trait checks from TEST_F to a standalone TEST suite.
• Added clarifying comments explaining why these tests must live outside the CUDA fixtures.

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated no comments.

File	Description
backends/aoti/slim/cuda/test/test_cuda_guard.cpp	Converts CUDAGuard static-assert trait checks into non-fixture tests so they run without GPU-dependent SetUp().
backends/aoti/slim/cuda/test/test_cuda_stream_guard.cpp	Converts CUDAStreamGuard static-assert trait checks into non-fixture tests so they run without GPU-dependent SetUp().

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