#endif  // !IS_MOBILE_PLATFORM

using tensorflow::string;

namespace {

string DeviceName(const tensorflow::Device* d) {
  return (d == nullptr) ? "cpu:0" : d->name();
}

// Annotate eager runtime construction context to the given `function_def` as
// an attribute.
void AnnotateEagerRuntimeConstructionContext(
    tensorflow::FunctionDef& function_def) {

pkg debug/elf, method (R_RISCV) GoString() string
pkg debug/elf, method (R_RISCV) String() string
pkg debug/elf, type R_RISCV int
pkg debug/macho, const CpuArm64 = 16777228
pkg debug/macho, const CpuArm64 Cpu
pkg debug/pe, const IMAGE_DIRECTORY_ENTRY_ARCHITECTURE = 7
pkg debug/pe, const IMAGE_DIRECTORY_ENTRY_ARCHITECTURE ideal-int
pkg debug/pe, const IMAGE_DIRECTORY_ENTRY_BASERELOC = 5

* Fix the DOCKER_OPTS appending bug. ([#33163](https://github.com/kubernetes/kubernetes/pull/33163), [@DjangoPeng](https://github.com/DjangoPeng))
* Remove cpu limits for dns pod to avoid CPU starvation ([#33227](https://github.com/kubernetes/kubernetes/pull/33227), [@vishh](https://github.com/vishh))

* Fixed a bug in the single-numa-node policy of the TopologyManager.  Previously, pods that only requested CPU resources and did not request any third-party devices would fail to launch with a TopologyAffinity error. Now they will launch successfully. ([#83697](https://github.com/kubernetes/kubernetes/pull/83697), [@klueska](https://github.com/klueska))

Uvicorn process running your FastAPI application). They would all be **identical containers**, running the same thing, but each with its own process, memory, etc. That way you would take advantage of **parallelization** in **different cores** of the CPU, or even in **different machines**.

And the distributed container system with the **load balancer** would **distribute the requests** to each one of the containers with your app **in turns**. So, each request could be handled by one of the...

	erasureLockOwner string

	// List of endpoints provided on the command line.
	endpoints PoolEndpoints

	// String version of all the endpoints, an optimization
	// to avoid url.String() conversion taking CPU on
	// large disk setups.
	endpointStrings []string

	// Total number of sets and the number of disks per set.
	setCount, setDriveCount int
	defaultParityCount      int

	poolIndex int

- Fixed a bug in kubelet that will saturate CPU utilization after containerd got restarted. ([#97174](https://github.com/kubernetes/kubernetes/pull/97174), [@hanlins](https://github.com/hanlins)) [SIG Node]

crawler.system.monitor.interval=60
crawler.hotthread.ignore_idle_threads=true
crawler.hotthread.interval=500ms
crawler.hotthread.snapshots=10
crawler.hotthread.threads=3
crawler.hotthread.timeout=30s
crawler.hotthread.type=cpu
crawler.metadata.content.excludes=resourceName,X-Parsed-By,Content-Encoding.*,Content-Type.*,X-TIKA.*,X-FESS.*
crawler.metadata.name.mapping=\
title=title:string\n\
Title=title:string\n\
dc:title=title:string\n\

    - [API changes and improvements for ephemeral containers](#api-changes-and-improvements-for-ephemeral-containers)
  - [Known Issues](#known-issues)
    - [CPU and Memory manager are not working correctly for Guaranteed Pods with multiple containers](#cpu-and-memory-manager-are-not-working-correctly-for-guaranteed-pods-with-multiple-containers)

  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  TF_DeleteGraph(graph);
  TF_DeleteStatus(s);
}

// If `device` is non-empty, run Min op on that device.
// Otherwise run it on the default device (CPU).
void RunMinTest(const string& device, bool use_XLA) {
  TF_Status* s = TF_NewStatus();
  TF_Graph* graph = TF_NewGraph();

  // Make a placeholder operation.
  TF_Operation* feed = Placeholder(graph, s);