build:cuda_clang --config=cuda
build:cuda_clang --@local_config_cuda//:cuda_compiler=clang
build:cuda_clang --copt=-Qunused-arguments
# Select supported compute capabilities (supported graphics cards).
# This is the same as the official TensorFlow builds.
# See https://developer.nvidia.com/cuda-gpus#compute
# `compute_XY` enables PTX embedding in addition to SASS. PTX
# is forward compatible beyond the current compute capability major

		HTTPStatusCode: http.StatusServiceUnavailable,
	},
	ErrClientDisconnected: {
		Code:           "ClientDisconnected",
		Description:    "Client disconnected before response was ready",
		HTTPStatusCode: 499, // No official code, use nginx value.
	},
	ErrTooManyRequests: {
		Code:           "TooManyRequests",
		Description:    "Please reduce your request rate",
		HTTPStatusCode: http.StatusTooManyRequests,
	},

* duplicate kube-apiserver to federated-apiserver ([#23509](https://github.com/kubernetes/kubernetes/pull/23509), [@jianhuiz](https://github.com/jianhuiz))
* Kubelet: Start using the official docker engine-api ([#23506](https://github.com/kubernetes/kubernetes/pull/23506), [@Random-Liu](https://github.com/Random-Liu))