Documentation/ABI/stable/sysfs-acpi-pmprofile

ACPI pm_profile在Linux中的使用详解
本文详细解释了ACPI pm_profile在Linux系统中的作用、路径、配置及使用方法,包括其在不同设备类型(如台式机、手机、工作站等)上的应用和整数值的含义。

Chinese translated version of Documentation\block\switching-sched.txt

If you have any comment or update to the content, please contact the
original document maintainer directly.  However, if you have a problem
communicating in English you can also ask the Chinese maintainer for
help.  Contact the Chinese maintainer if this translation is outdated
or if there is a problem with the translation.

Chinese maintainer: 秦芹 18768122412@163.com
---------------------------------------------------------------------
Documentation/ABI/stable/sysfs-acpi-pmprofile的中文翻译

如果想评论或更新本文的内容,请直接联系原文档的维护者。如果你使用英文
交流有困难的话,也可以向中文版维护者求助。如果本翻译更新不及时或者翻
译存在问题,请联系中文版维护者。

中文版维护者: 秦芹 18768122412@163.com
中文版翻译者:秦芹 18768122412@163.com

以下为正文
--------------------------------------------------------------------- 

  What: /sys/firmware/acpi/pm_profile

   syssfs-acpi-pmprofile文件是什么
   (或者对应系统中的那个路径下的文件)?
   Date:           03-Nov-2011
   日期:2011年11月3日
   KernelVersion:  v3.2
   内核版本号:v3.2
   Contact:  linux-acpi@vger.kernel.org
   联系方式:linux-acpi@vger.kernel.org
   Description: The ACPI pm_profile sysfs interface exports the platform power management (and performance) requirement expectations as provided
   by BIOS. The integer value is directly passed as retrieved from the FADT ACPI table.
   描述:ACPI pm_profile sysfs接口导出的外围平台是通过BIOS提供的电
   源关系和性能要求期望实现的。整数值直接从FADT ACPI表中检索出进行传递。
   Values:For possible values see ACPI specification:
          5.2.9 Fixed ACPI Description Table (FADT)
    值:因为在ACPI规范中包含可能的值,5.2.9修订
          了ACPI描述表(FADT)
    Field: Preferred_PM_Profile
    字段: Preferred_PM_Profile
    Currently these values are defined by spec:
   目前,这些值的定义规范如下:
        0 Unspecified
    0表示未说明
        1 Desktop
        1表示台式机
        2 Mobile
        2表示手机
        3 Workstation
        3表示工作站
        4 Enterprise Server
        4表示企业服务器
        5 SOHO Server
        5表示SOHO服务器
        6 Appliance PC
        6表示PC机
        7 Performance Server
        7表示高性能服务器
        >7 Reserved
        >7 保留
(rlds_env) server@server-Standard-PC-Q35-ICH9-2009:~/my_rlds/example_dataset$ tfds build INFO[build.py]: Loading dataset from path: /home/server/my_rlds/example_dataset/example_dataset_dataset_builder.py 2025-08-11 20:47:50.620420: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2025-08-11 20:47:50.674693: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2025-08-11 20:47:51.381449: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT 2025-08-11 20:47:51.708800: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 linux/Documentation/ABI/testing/sysfs-bus-pci at v6.0 · torvalds/linux linux/Documentation/ABI/testing/sysfs-bus-pci at v6.0 · torvalds/linux 2025-08-11 20:47:51.784318: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1960] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu Install TensorFlow with pip Install TensorFlow with pip for how to download and setup the required libraries for your platform. Skipping registering GPU devices... 2025-08-11 20:47:52.496086: W tensorflow/tsl/platform/cloud/google_auth_provider.cc:184] All attempts to get
最新发布
08-12
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值