limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_TAPE_TAPE_CONTEXT_H_
#define TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_TAPE_TAPE_CONTEXT_H_

#include "tensorflow/c/eager/abstract_context.h"
#include "tensorflow/c/experimental/gradients/tape/tape_operation.h"

namespace tensorflow {
namespace gradients {

limitations under the License.
==============================================================================*/
#include "tensorflow/c/experimental/gradients/tape/tape_context.h"

#include "tensorflow/c/eager/abstract_context.h"
#include "tensorflow/c/experimental/gradients/tape/tape_operation.h"

namespace tensorflow {
namespace gradients {
TapeContext::TapeContext(AbstractContext* c, Tape* tape,

### Azure

* **同一程序**可以有**多个进程**同时运行。

如果您检查操作系统中的“任务管理器”或“系统监视器”（或类似工具），您将能够看到许多正在运行的进程。

例如，您可能会看到有多个进程运行同一个浏览器程序（Firefox、Chrome、Edge 等）。 他们通常每个tab运行一个进程，再加上一些其他额外的进程。

<img class="shadow" src="/img/deployment/concepts/image01.png">

---

现在我们知道了术语“进程”和“程序”之间的区别，让我们继续讨论部署。

## 启动时运行

在大多数情况下，当您创建 Web API 时，您希望它**始终运行**、不间断，以便您的客户端始终可以访问它。 这是当然的，除非您有特定原因希望它仅在某些情况下运行，但大多数时候您希望它不断运行并且**可用**。

### 在远程服务器中

OSの「タスク・マネージャー」や「システム・モニター」（または同様のツール）を確認すれば、これらのプロセスの多くが実行されているの見ることができるでしょう。

例えば、同じブラウザプログラム（Firefox、Chrome、Edgeなど）を実行しているプロセスが複数あることがわかります。通常、1つのタブにつき1つのプロセスが実行され、さらに他のプロセスも実行されます。

<img class="shadow" src="/img/deployment/concepts/image01.png">

---

さて、**プロセス**と**プログラム**という用語の違いを確認したところで、デプロイメントについて話を続けます。

## 起動時の実行

// the TFE_Context structure.
typedef struct TFE_Context TFE_Context;

namespace tensorflow {

DEFINE_CONVERSION_FUNCTIONS(tensorflow::ImmediateExecutionContext, TFE_Context);

}  // namespace tensorflow

([#62695](https://github.com/kubernetes/kubernetes/pull/62695), [@CaoShuFeng](https://github.com/CaoShuFeng))
* HTTP transport now uses `context.Context` to cancel dial operations. k8s.io/client-go/transport/Config struct has been updated to accept a function with a `context.Context` parameter. This is a breaking change if you use this field in your code. ([#60012](https://github.com/kubernetes/kubernetes/pull/60012), [@ash2k](https://github.com/ash2k))

#ifndef TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_CONTEXT_H_
#define TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_CONTEXT_H_

#include <functional>
#include <map>
#include <memory>
#include <vector>

#include "absl/types/optional.h"
#include "absl/types/span.h"
#include "tensorflow/c/eager/abstract_context.h"
#include "tensorflow/c/eager/immediate_execution_distributed_manager.h"

runcate","is","siblings","n","rneedsContext","rsingleTag","winnow","qualifier","self","rootjQuery","parseHTML","ready","rparentsprev","guaranteedUnique","children","contents","prev","sibling","targets","l","closest","index","prevAll","add","addBack","parents","parentsUntil","nextAll","nextUntil","prevUntil","contentDocument","content","reverse","rnothtmlwhite","Identity","v","Thrower","ex","adoptValue","resolve","reject","noValue","method","promise","fail","then","Callbacks","object","_","flag",...

  // If the provisioner or an external controller can support the specified data source,
  // it will create a new volume based on the contents of the specified data source.
  // When the AnyVolumeDataSource feature gate is enabled, dataSource contents will be copied to dataSourceRef,
  // and dataSourceRef contents will be copied to dataSource when dataSourceRef.namespace is not specified.