static bool classof(const AbstractContext* ptr) {
    return ptr->getKind() == kEager || ptr->getKind() == kTfrt;
  }

  //===--------------------------------------------------------------------===//
  // Experimental Custom Device.
  //===--------------------------------------------------------------------===//
  virtual CustomDeviceOpHandler& GetCustomDeviceOpHandler() = 0;

Tout le framework a été conçu pour être facile et intuitif d'utilisation, toutes les décisions de design ont été testées sur de nombreux éditeurs avant même de commencer le développement final afin d'assurer la meilleure expérience de développement possible.

- Helm cli with Kubernetes cluster configured.
- PV provisioner support in the underlying infrastructure. (We recommend using <https://github.com/minio/direct-csi>)
- Use Kubernetes version v1.19 and later for best experience.

## Configure MinIO Helm repo

```bash
helm repo add minio https://charts.min.io/
```

### Installing the Chart

Install this chart using:

```bash

  // Load the library.
  TF_Status* status = TF_NewStatus();
  string lib_path =
      tensorflow::GetDataDependencyFilepath(tensorflow::io::JoinPath(
          "tensorflow", "c", "experimental", "stream_executor", "test",
          "test_pluggable_device.so"));
  TF_Library* lib = TF_LoadPluggableDeviceLibrary(lib_path.c_str(), status);
  TF_Code code = TF_GetCode(status);

#include <stdint.h>

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_macros.h"
#include "tensorflow/c/eager/c_api.h"

// --------------------------------------------------------------------------
// Experimental C API for TensorFlow.
//
// The API here is subject to changes in the future.
// --------------------------------------------------------------------------

#ifdef __cplusplus
extern "C" {
#endif

---

### 🎓 **Learning Resources for Gradle**

Kickstart your Gradle knowledge with courses, guides, and community support tailored to various experience levels:

- **[DPE University Free Courses](https://dpeuniversity.gradle.com/app/catalog)**: A collection of hands-on courses for learning Gradle, complete with project-based tasks to improve real-world skills.

  - [Downloads for v1.2.0](#downloads-for-v120)
  - [Changes since v1.1.1](#changes-since-v111)
    - [Major Themes](#major-themes)
    - [Other notable improvements](#other-notable-improvements)
    - [Experimental Features](#experimental-features)
    - [Action required](#action-required-1)
    - [Known Issues](#known-issues)
      - [Docker Known Issues](#docker-known-issues)
        - [1.9.1](#191)

Fess est basé sur [OpenSearch](https://github.com/opensearch-project/OpenSearch), mais aucune connaissance ni expérience d'OpenSearch n'est _nécessaire_. Fess fournit une interface d'administration facile à utiliser pour configurer le système via votre navigateur.

limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_C_EAGER_C_API_H_
#define TENSORFLOW_C_EAGER_C_API_H_

// C API extensions to experiment with eager execution of kernels.
// WARNING: Unlike tensorflow/c/c_api.h, the API here is not guaranteed to be
// stable and can change without notice.

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_macros.h"

    - [Other notable changes](#other-notable-changes-18)
- [v1.4.0-alpha.1](#v140-alpha1)
  - [Downloads](#downloads-17)
  - [Changelog since v1.3.0](#changelog-since-v130)
    - [Experimental Features](#experimental-features)
    - [Action Required](#action-required-3)
    - [Other notable changes](#other-notable-changes-19)
<!-- END MUNGE: GENERATED_TOC -->

<!-- NEW RELEASE NOTES ENTRY -->


# v1.4.12