#else
    ctx.device_type = DLDeviceType::kDLCUDA;
#endif
  } else {
    status->status = tensorflow::errors::InvalidArgument(
        "Unsupported Device Type for dlpack");
  }

  return ctx;
}

// Converts DLDevice to TF device name.
absl::optional<std::string> DeviceNameFromDlContext(const DLDevice& ctx,
                                                    TF_Status* status) {

    TF_ImportGraphDefOptions* opts, const char* prefix);

// Set the execution device for nodes in `graph_def`.
// Only applies to nodes where a device was not already explicitly specified.
// `device` is copied and has no lifetime requirements.
TF_CAPI_EXPORT extern void TF_ImportGraphDefOptionsSetDefaultDevice(
    TF_ImportGraphDefOptions* opts, const char* device);

// Set whether to uniquify imported operation names. If true, imported operation

	{
		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",
		Data:   []byte("char device file"),
		Method: Deflate,
		Mode:   0755 | fs.ModeDevice | fs.ModeCharDevice,
	},
}

func TestWriter(t *testing.T) {

Response’un `application/json` yerine `application/jsonl` içerik türü (Content-Type) olur ve body aşağıdaki gibi görünür:

```json
{"name": "Plumbus", "description": "A multi-purpose household device."}
{"name": "Portal Gun", "description": "A portal opening device."}
{"name": "Meeseeks Box", "description": "A box that summons a Meeseeks."}
```

  - type: dropdown
    id: author-go-experience
    attributes:
      label: "Go Programming Experience"
      description: "Would you consider yourself a novice, intermediate, or experienced Go programmer?"
      options:
        - "Novice"
        - "Intermediate"
        - "Experienced"
      default: 1

  - type: input
    id: author-other-languages-experience
    attributes:

<%@page pageEncoding="UTF-8" contentType="text/html; charset=UTF-8"%>
<meta content='width=device-width, initial-scale=1' name='viewport'>
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<link href="${fe:url('/css/admin/bootstrap.min.css')}" rel="stylesheet" type="text/css" />
<link href="${fe:url('/css/admin/font-awesome.min.css')}" rel="stylesheet" type="text/css" />
<link href="${fe:url('/css/admin/adminlte.min.css')}" rel="stylesheet" type="text/css" />

Uma response teria um tipo de conteúdo `application/jsonl` (em vez de `application/json`) e o corpo seria algo como:

```json
{"name": "Plumbus", "description": "A multi-purpose household device."}
{"name": "Portal Gun", "description": "A portal opening device."}
{"name": "Meeseeks Box", "description": "A box that summons a Meeseeks."}
```

응답의 콘텐츠 타입은 `application/json` 대신 `application/jsonl`이고, 본문은 다음과 같습니다:

```json
{"name": "Plumbus", "description": "A multi-purpose household device."}
{"name": "Portal Gun", "description": "A portal opening device."}
{"name": "Meeseeks Box", "description": "A box that summons a Meeseeks."}
```

JSON 배열(Python의 list에 해당)과 매우 비슷하지만, 항목들을 `[]`로 감싸고 항목 사이에 `,`를 넣는 대신, 줄마다 하나의 JSON 객체가 있고, 새 줄 문자로 구분됩니다.

      encodings[0xf] = encoding // Shift In
      encodings[0x10] = encoding // Data Link Escape
      encodings[0x11] = encoding // Device Control 1 (oft. XON)
      encodings[0x12] = encoding // Device Control 2
      encodings[0x13] = encoding // Device Control 3 (oft. XOFF)
      encodings[0x14] = encoding // Device Control 4
      encodings[0x15] = encoding // Negative Acknowledgment
      encodings[0x16] = encoding // Synchronous idle

        return item

    @app.get("/items/")
    def read_items() -> list[Item]:
        return [
            Item(
                name="Portal Gun",
                description="Device to travel through the multi-rick-verse",
                sub=SubItem(subname="subname"),
            ),
            Item(name="Plumbus"),
        ]

    @app.post("/with-computed-field/")