},
		"invalid-upgrade-storage-class-in-spec": {
			isExpectedFailure: true,
			oldClaim:          validClaimStorageClassInSpec,
			newClaim:          invalidClaimStorageClassInSpec,
		},
		"invalid-downgrade-storage-class-spec-to-annotation": {
			isExpectedFailure: true,
			oldClaim:          validClaimStorageClassInSpec,
			newClaim:          validClaimStorageClass,
		},

- Support a smooth upgrade from client-side apply to server-side apply without conflicts, as well as support the corresponding downgrade. ([#90187](https://github.com/kubernetes/kubernetes/pull/90187), [@julianvmodesto](https://github.com/julianvmodesto)) [SIG API Machinery and Testing]

    `CUDA_ERROR_ILLEGAL_ADDRESS` failures.

    A fix in CUDA 9.1.121 is expected in late February 2018. We do not expect a
    fix for CUDA 9.0.x. Until the fix is available, the only workaround is to
    [downgrade](https://developer.nvidia.com/cuda-toolkit-archive) to CUDA 8.0.x
    or disable XLA:GPU.

    TensorFlow will print a warning if you use XLA:GPU with a known-bad version