import java.util.concurrent.locks.LockSupport;
import org.jspecify.annotations.Nullable;

/**
 * Works around an android bug, where parking for more than INT_MAX seconds can produce an abort
 * signal on 32 bit devices running Android Q.
 */
@GwtIncompatible
final class OverflowAvoidingLockSupport {
  // Represents the max nanoseconds representable on a linux timespec with a 32 bit tv_sec

[CUDA-enabled GPU cards](https://www.tensorflow.org/install/gpu) *(Ubuntu and
Windows)*:

```
 pip install tensorflow
```

Other devices (DirectX and MacOS-metal) are supported using
[Device Plugins](https://www.tensorflow.org/install/gpu_plugins#available_devices).

A smaller CPU-only TensorFlow package is also available:

```
 pip install tensorflow-cpu
```

configuration history is [tracked here](../security/tls_configuration_history.md).

Applications expected to be installed on older Android devices should consider adopting the
[Google Play Services’ ProviderInstaller][provider_installer]. This will increase security for users
and increase connectivity with web servers.

- DRA: When the prioritized list feature was used in a request and the resulting number of allocated devices exceeded the number of allowed devices per claim, the scheduler aborted the attempt to allocate devices early. Previously, it tried to many different combinations, which could take a long time. ([#130593](https://github.com/kubernetes/kubernetes/pull/130593), [@mortent](https://github.com/mortent))...

# Note: This does not affect/work for `docker cp` commands.
RUN New-Item -ItemType directory -Path C:\drive_t; \
    New-ItemProperty -Path 'HKLM:\SYSTEM\CurrentControlSet\Control\Session Manager\DOS Devices' -Name 'T:'  -Value '\??\C:\drive_t' -PropertyType String;

- Implicit extended resource name derived from device class (deviceclass.resource.kubernetes.io/<device-class-name>) can be used to request DRA devices matching the device class. ([#133363](https://github.com/kubernetes/kubernetes/pull/133363), [@yliaog](https://github.com/yliaog)) [SIG Node, Scheduling and Testing]

- DRA: when asking for "All" devices on a node, Kubernetes <= 1.32 proceeded to schedule pods onto nodes with no devices by not allocating any devices for those pods. Kubernetes 1.33 changes that to only picking nodes which have at least one device. Users who want the "proceed with scheduling also without devices" semantic can use the upcoming prioritized list feature with one sub-request for "all" devices and a second alternative with "count: 0". ([#129560](https:...

- Enable the...

It was created to generate the HTML in the backend, not to create APIs used by a modern frontend (like React, Vue.js and Angular) or by other systems (like <abbr title="Internet of Things">IoT</abbr> devices) communicating with it.

### [Django REST Framework](https://www.django-rest-framework.org/) { #django-rest-framework }

        decisions.
*   PluggableDevice
    *   Third-party devices can now connect to TensorFlow as plug-ins through
        [StreamExecutor C API](https://github.com/tensorflow/community/blob/master/rfcs/20200612-stream-executor-c-api.md).
        and
        [PluggableDevice](https://github.com/tensorflow/community/blob/master/rfcs/20200624-pluggable-device-for-tensorflow.md)
        interface.