// Set the target in TF_SessionOptions.options.
// target can be empty, a single entry, or a comma separated list of entries.
// Each entry is in one of the following formats :
// "local"
// ip:port
// host:port
TF_CAPI_EXPORT extern void TF_SetTarget(TF_SessionOptions* options,
                                        const char* target);

// Set the config in TF_SessionOptions.options.

		Mode:   0755 | fs.ModeSetuid,
	},
	{
		Name:   "setgid",
		Data:   []byte("setgid file"),
		Method: Deflate,
		Mode:   0755 | fs.ModeSetgid,
	},
	{
		Name:   "symlink",
		Data:   []byte("../link/target"),
		Method: Deflate,
		Mode:   0755 | fs.ModeSymlink,
	},
	{
		Name:   "device",
		Data:   []byte("device file"),
		Method: Deflate,
		Mode:   0755 | fs.ModeDevice,
	},
	{
		Name:   "chardevice",

            result.setScriptType(DfTypeUtil.toString(source.get("scriptType")));
            result.setStartTime(DfTypeUtil.toLong(source.get("startTime")));
            result.setTarget(DfTypeUtil.toString(source.get("target")));
            return updateEntity(source, result);
        } catch (InstantiationException | IllegalAccessException e) {
            final String msg = "Cannot create a new instance: " + entityType.getName();

</div>

**强烈建议**您在本地编写或复制代码，对其进行编辑并运行。

在编辑器中使用 FastAPI 会真正地展现出它的优势：只需要编写很少的代码，所有的类型检查，代码补全等等。

---

## 安装 FastAPI

第一个步骤是安装 FastAPI.

请确保您创建并激活一个[虚拟环境](../virtual-environments.md){.internal-link target=_blank}，然后**安装 FastAPI**：

<div class="termy">

```console
$ pip install "fastapi[standard]"

---> 100%
```

</div>

/// note

当您使用 `pip install "fastapi[standard]"` 进行安装时，它会附带一些默认的可选标准依赖项。

  tensorflow::mutex lock;
};

#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
struct TF_Server {
  TF_Server(std::unique_ptr<tensorflow::ServerInterface> server);

  const tensorflow::string target;
  std::unique_ptr<tensorflow::ServerInterface> server;
};
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)

namespace tensorflow {

// Set the shapes and types of the output's handle.
//

      this.cacheUrlOverride = request.cacheUrlOverride
    }

    open fun url(url: HttpUrl): Builder =
      apply {
        this.url = url
      }

    /**
     * Sets the URL target of this request.
     *
     * @throws IllegalArgumentException if [url] is not a valid HTTP or HTTPS URL. Avoid this
     *     exception by calling [HttpUrl.parse]; it returns null for invalid URLs.
     */

     *
     * @return the rflags
     */
    public final int getRFlags() {
        return this.rflags;
    }

    /**
     * Gets the proximity value indicating the distance to the target.
     *
     * @return the proximity
     */
    public final int getProximity() {
        return this.proximity;
    }

    /**
     * Gets the alternate path for this referral.
     *

# 벤치마크

독립적인 TechEmpower 벤치마크에 따르면 **FastAPI** 애플리케이션이 Uvicorn을 사용하여 <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">가장 빠른 Python 프레임워크 중 하나</a>로 실행되며, Starlette와 Uvicorn 자체(내부적으로 FastAPI가 사용하는 도구)보다 조금 아래에 위치합니다.

그러나 벤치마크와 비교를 확인할 때 다음 사항을 염두에 두어야 합니다.

## 벤치마크와 속도

벤치마크를 확인할 때, 일반적으로 여러 가지 유형의 도구가 동등한 것으로 비교되는 것을 볼 수 있습니다.

package grid

import (
	"context"
	"net"
	"net/http"
	"net/http/httptest"
	"testing"
	"time"

	"github.com/minio/minio/internal/logger/target/testlogger"
)

func TestDisconnect(t *testing.T) {
	defer testlogger.T.SetLogTB(t)()
	defer timeout(10 * time.Second)()
	hosts, listeners, _ := getHosts(2)
	dialer := &net.Dialer{
		Timeout: 1 * time.Second,

          <artifactId>maven-compiler-plugin</artifactId>
          <version>2.0.2</version>
          <configuration>
            <source>1.5</source>
            <target>1.5</target>
          </configuration>
        </plugin>
        <plugin>
          <artifactId>maven-release-plugin</artifactId>
          <configuration>