// These resources cannot be looked up on-demand.
//
// In some cases, we do not know the IP address of a Service. These services cannot be used for matching
// outbound traffic, as we only have L4 attributes to route based on. However,
// they can be used for Gateways.
// In this case, the key format will be "network/hostname".
// These resources cannot be looked up on-demand.
type Address struct {

 * services from this registry or its parents.</li>
 *
 * </ul>
 *
 * <p>Service instances are created on demand. {@link #getFactory(Class)} looks for a service instance which implements {@code Factory<T>} where {@code T} is the expected type.</p>
 *

  }
  Log-Output "Creating kubelet service"
  & sc.exe create kubelet binPath= "${env:NODE_DIR}\kube-log-runner.exe -log-file=${env:LOGS_DIR}\kubelet.log ${env:NODE_DIR}\kubelet.exe ${kubelet_args}" start= demand
  & sc.exe failure kubelet reset= 0 actions= restart/10000
  Log-Output "Starting kubelet service"
  & sc.exe start kubelet

  Log-Output "Waiting 10 seconds for kubelet to stabilize"
  Start-Sleep 10

func (c *ClientHelloInfo) Context() context.Context {
	return c.ctx
}

// CertificateRequestInfo contains information from a server's
// CertificateRequest message, which is used to demand a certificate and proof
// of control from a client.
type CertificateRequestInfo struct {
	// AcceptableCAs contains zero or more, DER-encoded, X.501
	// Distinguished Names. These are the names of root or intermediate CAs

	// map of regular username to credentials
	iamUsersMap map[string]UserIdentity
	// map of regular username to policy names
	iamUserPolicyMap *xsync.MapOf[string, MappedPolicy]

	// STS accounts are loaded on demand and not via the periodic IAM reload.
	// map of STS access key to credentials
	iamSTSAccountsMap map[string]UserIdentity
	// map of STS access key to policy names
	iamSTSPolicyMap *xsync.MapOf[string, MappedPolicy]

			// Allocate an L2 arena map.
			//
			// Use sysAllocOS instead of sysAlloc or persistentalloc because there's no
			// statistic we can comfortably account for this space in. With this structure,
			// we rely on demand paging to avoid large overheads, but tracking which memory
			// is paged in is too expensive. Trying to account for the whole region means
			// that it will appear like an enormous memory overhead in statistics, even though

    visibility = ["//visibility:public"],
    win_def_file = ":tensorflow_filtered_def_file",
)

# To avoid duplication, check that the C++ or python library does not depend on
# the stream executor cuda plugins. Targets that want to use cuda APIs should
# instead depend on the dummy plugins in @local_tsl//tsl/platform/default/build_config
# and use header only targets.
# TODO(ddunleavy): This seems completely broken. :tensorflow_cc depends on

// pattern is "all".
//
// The candidate modules for a given package in "all" depend only on the initial
// build list, but we cannot follow the dependencies of a given package until we
// know which candidate is selected — and that selection may depend on the
// results of other queries. We need to re-evaluate the "all" queries whenever

	if endSec != omega {
		end = unixTime(endSec, 0)
		end.setLoc(t.loc)
	}
	return
}

// Unix returns t as a Unix time, the number of seconds elapsed
// since January 1, 1970 UTC. The result does not depend on the
// location associated with t.
// Unix-like operating systems often record time as a 32-bit
// count of seconds, but since the method here returns a 64-bit

build:cuda_clang_official --crosstool_top="@sigbuild-r2.17-clang_config_cuda//crosstool:toolchain"

# Build with nvcc for CUDA and clang for host
build:nvcc_clang --config=cuda
# Unfortunately, cuda_configure.bzl demands this for using nvcc + clang
build:nvcc_clang --action_env=TF_CUDA_CLANG="1"
build:nvcc_clang --action_env=TF_NVCC_CLANG="1"
build:nvcc_clang --@local_config_cuda//:cuda_compiler=nvcc


# Debug config