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src/main/java/org/codelibs/fess/util/MemoryUtil.java
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) {
Java - Registered: Mon Apr 29 08:04:11 GMT 2024 - Last Modified: Thu Feb 22 01:37:57 GMT 2024 - 4.6K bytes - Viewed (0) -
docs/en/docs/deployment/concepts.md
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
Plain Text - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Thu Apr 18 19:53:19 GMT 2024 - 18K bytes - Viewed (0) -
docs/zh/docs/deployment/concepts.md
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**。
Plain Text - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Thu Apr 18 19:53:19 GMT 2024 - 16.2K bytes - Viewed (0) -
src/test/java/org/codelibs/fess/util/MemoryUtilTest.java
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));
Java - Registered: Mon Apr 29 08:04:11 GMT 2024 - Last Modified: Thu Feb 22 01:37:57 GMT 2024 - 4.1K bytes - Viewed (0) -
docs/de/docs/deployment/concepts.md
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. 🚨
Plain Text - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Sat Mar 30 20:16:25 GMT 2024 - 20.6K bytes - Viewed (0) -
ci/official/utilities/setup_macos.sh
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
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 15:23:28 GMT 2024 - 6.2K bytes - Viewed (0) -
src/archive/zip/reader_test.go
// is to set Size, which will then be checked against the header-reported size // but will bypass the decompressing of the actual data. // This last option is used for testing very large (multi-GB) compressed files. ContentErr error Content []byte File string Size uint64 } var tests = []ZipTest{ { Name: "test.zip", Comment: "This is a zipfile comment.",
Go - Registered: Tue Apr 30 11:13:12 GMT 2024 - Last Modified: Wed Mar 27 18:23:49 GMT 2024 - 55.3K bytes - Viewed (0) -
okhttp-idna-mapping-table/src/main/resources/okhttp3/internal/idna/IdnaMappingTable.txt
3385 ; mapped ; 006B 0062 # 1.1 SQUARE KB 3386 ; mapped ; 006D 0062 # 1.1 SQUARE MB 3387 ; mapped ; 0067 0062 # 1.1 SQUARE GB 3388 ; mapped ; 0063 0061 006C #1.1 SQUARE CAL 3389 ; mapped ; 006B 0063 0061 006C #1.1 SQUARE KCAL 338A ; mapped ; 0070 0066 # 1.1 SQUARE PF
Plain Text - Registered: Fri May 03 11:42:14 GMT 2024 - Last Modified: Sat Feb 10 11:25:47 GMT 2024 - 854.1K bytes - Viewed (2)