👆 🔜 🎲 👉 🕐, 🥇 🕰, 🕐❔ ⚒ 🌐 🆙.

!!! tip
    👉 🆔 📛 🍕 🌌 ⏭ 🇺🇸🔍, ✋️ 🌐 🪀 🔛 🆔 & 📢 📢, ⚫️ 💸 💬 ⚫️ 📥.

### 🏓

🔜 ➡️ 🎯 🔛 🌐 ☑ 🇺🇸🔍 🍕.

🥇, 🖥 🔜 ✅ ⏮️ **🏓 💽** ⚫️❔ **📢 🆔**, 👉 💼, `someapp.example.com`.

🏓 💽 🔜 💬 🖥 ⚙️ 🎯 **📢 📢**. 👈 🔜 📢 📢 📢 ⚙️ 👆 💽, 👈 👆 🔗 🏓 💽.

<img src="/img/deployment/https/https01.svg">

### 🤝 🤝 ▶️

🖥 🔜 ⤴️ 🔗 ⏮️ 👈 📢 📢 🔛 **⛴ 4️⃣4️⃣3️⃣** (🇺🇸🔍 ⛴).

			if true { //c.RandBool() {
				*j = &runtime.Unknown{
					// We do not set TypeMeta here because it is not carried through a round trip
					Raw:         []byte(`{"apiVersion":"unknown.group/unknown","kind":"Something","someKey":"someValue"}`),
					ContentType: runtime.ContentTypeJSON,
				}
			} else {
				types := []runtime.Object{&example.Pod{}}
				t := types[c.Rand.Intn(len(types))]
				c.Fuzz(t)
				*j = t
			}
		},

			if true { //c.RandBool() {
				*j = &runtime.Unknown{
					// We do not set TypeMeta here because it is not carried through a round trip
					Raw:         []byte(`{"apiVersion":"unknown.group/unknown","kind":"Something","someKey":"someValue"}`),
					ContentType: runtime.ContentTypeJSON,
				}
			} else {
				types := []runtime.Object{&testapigroup.Carp{}}
				t := types[c.Rand.Intn(len(types))]
				c.Fuzz(t)
				*j = t
			}
		},

                </mxCell>
                <mxCell id="29" value="&lt;font face=&quot;Roboto&quot; data-font-src=&quot;https://fonts.googleapis.com/css?family=Roboto&quot; style=&quot;font-size: 24px&quot;&gt;https://someapp.example.com&lt;/font&gt;" style="rounded=0;whiteSpace=wrap;html=1;fontStyle=1;strokeWidth=4;" parent="33" vertex="1">
                    <mxGeometry x="60" y="27" width="380" height="250" as="geometry"/>
                </mxCell>

// CHECK-LABEL: func @testControlOperands
func.func @testControlOperands() {
  %0:2 = tf_executor.graph {
    %1 = tf_executor.island {
      "tf.someOp"() : () -> ()
      tf_executor.yield
    }
    %2:3 = tf_executor.island(%1) {
      %3:2 = "tf_device.parallel_execute"() ({
        %4 = "tf.opA"() : () -> tensor<i1>
        tf_device.return %4 : tensor<i1>

### DNS

Теперь давайте сфокусируемся на работе с HTTPS.

Всё начинается с того, что браузер спрашивает у **DNS-серверов**, какой **IP-адрес связан с доменом**, для примера возьмём домен `someapp.example.com`.

DNS-сервера присылают браузеру определённый **IP-адрес**, тот самый публичный IP-адрес вашего сервера, который вы указали в ресурсной "записи А" при настройке.

<img src="/img/deployment/https/https01.svg">

### DNS

Now let's focus on all the actual HTTPS parts.

First, the browser would check with the **DNS servers** what is the **IP for the domain**, in this case, `someapp.example.com`.

The DNS servers would tell the browser to use some specific **IP address**. That would be the public IP address used by your server, that you configured in the DNS servers.

### DNS

Konzentrieren wir uns nun auf alle tatsächlichen HTTPS-Aspekte.

Zuerst würde der Browser mithilfe der **DNS-Server** herausfinden, welches die **IP für die Domain** ist, in diesem Fall für `someapp.example.com`.

Die DNS-Server geben dem Browser eine bestimmte **IP-Adresse** zurück. Das wäre die von Ihrem Server verwendete öffentliche IP-Adresse, die Sie in den DNS-Servern konfiguriert haben.

  if (TF_GetCode(status) != TF_OK) {
    fprintf(stderr, "TF_CloseWritableFile failed: %s\n", TF_Message(status));
  }
  TF_StringStreamDone(s);

  TF_KernelBuilder* b =
      TF_NewKernelBuilder("SomeOp", "SomeDevice", &create, &compute, NULL);
  TF_RegisterKernelBuilder("someKernel", b, status);

  TF_DeleteStatus(status);
  return 0;

#include "tensorflow/core/platform/test.h"

namespace tensorflow {
namespace {

TEST(OpsTest, TestBasicOpRegistration) {
  TF_OpDefinitionBuilder* builder = TF_NewOpDefinitionBuilder("SomeOp");
  TF_OpDefinitionBuilderAddAttr(builder, "attr1: string");
  TF_OpDefinitionBuilderAddInput(builder, "input1: uint8");
  TF_OpDefinitionBuilderAddInput(builder, "input2: uint16");