displaySize = new BigDecimal(size.divide(ONE_GB_BI)).divide(BigDecimal.valueOf(1000)) + "TB";
        } else if (size.divide(ONE_GB_BI).compareTo(BigInteger.ZERO) > 0) {
            displaySize = new BigDecimal(size.divide(ONE_MB_BI)).divide(BigDecimal.valueOf(1000)) + "GB";
        } else if (size.divide(ONE_MB_BI).compareTo(BigInteger.ZERO) > 0) {

For example, if your code loads a Machine Learning model with **1 GB in size**, when you run one process with your API, it will consume at least 1 GB of RAM. And if you start **4 processes** (4 workers), each will consume 1 GB of RAM. So in total, your API will consume **4 GB of RAM**.

And if your remote server or virtual machine only has 3 GB of RAM, trying to load more than 4 GB of RAM will cause problems. 🚨

### Multiple Processes - An Example

多个进程通常**不共享任何内存**。 这意味着每个正在运行的进程都有自己的东西、变量和内存。 如果您的代码消耗了大量内存，**每个进程**将消耗等量的内存。

### 服务器内存

例如，如果您的代码加载 **1 GB 大小**的机器学习模型，则当您使用 API 运行一个进程时，它将至少消耗 1 GB RAM。 如果您启动 **4 个进程**（4 个工作进程），每个进程将消耗 1 GB RAM。 因此，您的 API 总共将消耗 **4 GB RAM**。

如果您的远程服务器或虚拟机只有 3 GB RAM，尝试加载超过 4 GB RAM 将导致问题。 🚨


### 多进程 - 一个例子

在此示例中，有一个 **Manager Process** 启动并控制两个 **Worker Processes**。

Wenn Ihr Code beispielsweise ein Machine-Learning-Modell mit **1 GB Größe** lädt und Sie einen Prozess mit Ihrer API ausführen, verbraucht dieser mindestens 1 GB RAM. Und wenn Sie **4 Prozesse** (4 Worker) starten, verbraucht jeder 1 GB RAM. Insgesamt verbraucht Ihre API also **4 GB RAM**.

Und wenn Ihr entfernter Server oder Ihre virtuelle Maschine nur über 3 GB RAM verfügt, führt der Versuch, mehr als 4 GB RAM zu laden, zu Problemen. 🚨

        assertEquals("976.562MB", MemoryUtil.byteCountToDisplaySize(1000_000_000L));
        assertEquals("1.024GB", MemoryUtil.byteCountToDisplaySize(FileUtils.ONE_GB));
        assertEquals("953.674GB", MemoryUtil.byteCountToDisplaySize(999_999_999_999L));
        assertEquals("953.674GB", MemoryUtil.byteCountToDisplaySize(1000_000_000_000L));

Europe/Sofia Europe/Stockholm Europe/Tallinn Europe/Tirane Europe/Tiraspol Europe/Ulyanovsk Europe/Uzhgorod Europe/Vaduz Europe/Vatican Europe/Vienna Europe/Vilnius Europe/Volgograd Europe/Warsaw Europe/Zagreb Europe/Zaporozhye Europe/Zurich Factory GB GB-Eire GMT GMT+0 GMT-0 GMT0 Greenwich HST Hongkong Iceland Indian/Antananarivo Indian/Chagos Indian/Christmas Indian/Cocos Indian/Comoro Indian/Kerguelen Indian/Mahe Indian/Maldives Indian/Mauritius Indian/Mayotte Indian/Reunion Iran Israel Jamaica Japan...

0}/.test(a)&&10===a.length){for(var e=0;e<10;e++)d+=a[e]*b[e];if(parseInt(a.charAt(0))===c[d%11])return!0}return!1},errorMessage:"",errorMessageKey:"badUkUtr"}),a.formUtils.addValidator({name:"uknin",validatorFunction:function(a){return!!/^(?!BG)(?!GB)(?!NK)(?!KN)(?!TN)(?!NT)(?!ZZ)(?:[A-CEGHJ-PR-TW-Z][A-CEGHJ-NPR-TW-Z])(?:\s*\d\s*){6}([A-D]|\s)$/i.test(a)},errorMessage:"",errorMessageKey:"badUkNin"})}(a)});...

],["CR",21,"F03F14"],["CY",28,"F03F05A16"],["CZ",24,"F04F06F10"],["DE",22,"F08F10"],["DK",18,"F04F09F01"],["DO",28,"U04F20"],["EE",20,"F02F02F11F01"],["ES",24,"F04F04F01F01F10"],["FI",18,"F06F07F01"],["FO",18,"F04F09F01"],["FR",27,"F05F05A11F02"],["GB",22,"U04F06F08"],["GE",22,"U02F16"],["GI",23,"U04A15"],["GL",18,"F04F09F01"],["GR",27,"F03F04A16"],["GT",28,"A04A20"],["HR",21,"F07F10"],["HU",28,"F03F04F01F15F01"],["IE",22,"U04F06F08"],["IL",23,"F03F03F13"],["IS",26,"F04F02F06F10"],["IT",27,"U01F...

  exit 1
fi

# "TFCI_MACOS_BAZEL_TEST_DIR_PATH" specifies the directory that Bazel should use
# when running tests. Each test will be executed in a separate subdirectory
# inside this directory. TF Mac builds need ~150 GB of disk space to be able to
# run all the tests. Since TFCI Mac VMs execute Bazel test commands in a
# partition with insufficient storage, we specify the
# 'TFCI_MACOS_BAZEL_TEST_DIR_PATH' environment variable to point to a partition

                </mxCell>
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