提交 7cf140bd 编写于 作者: M mindspore-ci-bot 提交者: Gitee

!753 Align hardware resources translation

Merge pull request !753 from LiHongzhang/sysmetric
# System Metrics
# Hardware Resources
`Ascend` `Model Optimization` `Intermediate` `Expert`
......@@ -11,20 +11,20 @@
<!-- /TOC -->
<a href="https://gitee.com/mindspore/docs/blob/master/tutorials/source_en/advanced_use/system_metrics.md" target="_blank"><img src="../_static/logo_source.png"></a>
<a href="https://gitee.com/mindspore/docs/blob/master/tutorials/source_en/advanced_use/hardware_resources.md" target="_blank"><img src="../_static/logo_source.png"></a>
## Overview
Users can view system metrics such as Ascend AI processor, CPU, memory, etc., so as to allocate appropriate resources for training.
Just [Start MindInsight](https://www.mindspore.cn/tutorial/en/master/advanced_use/mindinsight_commands.html#start-the-service), and click "System Metrics" in the navigation bar to view it.
Users can view hardware resources such as Ascend AI processor, CPU, memory, etc., so as to allocate appropriate resources for training.
Just [Start MindInsight](https://www.mindspore.cn/tutorial/en/master/advanced_use/mindinsight_commands.html#start-the-service), and click "Hardware Resources" in the navigation bar to view it.
## Ascend AI Processor Board
The Ascend AI processor board is used to view the current information of each NPU chip.
![sysmetric_npu.png](./images/sysmetric_npu.png)
![resources_npu.png](./images/resources_npu.png)
Figure 1: System metrics Ascend AI processor board
Figure 1: Hardware resources Ascend AI processor board
Figure 1 is a table, each row shows the information of each NPU chip at a certain time. The metrics in each column are as follows:
......@@ -43,9 +43,9 @@ Figure 1 is a table, each row shows the information of each NPU chip at a certai
The CPU board is used to view the current system CPU total and the information of each core.
![sysmetric_cpu.png](./images/sysmetric_cpu.png)
![resources_cpu.png](./images/resources_cpu.png)
Figure 2: System Metrics CPU board
Figure 2: Hardware resources CPU board
The two-dimensional table in Figure 2 shows the percentage of CPU utilization for each core; the following two rows show the detailed metrics of *CPU-total* and *CPU-selected*.
......@@ -68,8 +68,8 @@ The two-dimensional table in Figure 2 shows the percentage of CPU utilization fo
The memory board is used to view the current system memory information.
![sysmetric_mem.png](./images/sysmetric_mem.png)
![resources_mem.png](./images/resources_mem.png)
Figure 3: Hardware resource memory board
Figure 3: Hardware resources memory board
Figure 3 shows a pie chart showing used memory and available memory. Other memory types are classified into *others*.
......@@ -7,7 +7,7 @@ Training Process Visualization
summary_record
dashboard
lineage_and_scalars_comparision
system_metrics
hardware_resources
performance_profiling
performance_profiling_gpu
mindinsight_commands
......@@ -11,7 +11,7 @@
<!-- /TOC -->
<a href="https://gitee.com/mindspore/docs/blob/master/tutorials/source_zh_cn/advanced_use/system_metrics.md" target="_blank"><img src="../_static/logo_source.png"></a>&nbsp;&nbsp;
<a href="https://gitee.com/mindspore/docs/blob/master/tutorials/source_zh_cn/advanced_use/hardware_resources.md" target="_blank"><img src="../_static/logo_source.png"></a>&nbsp;&nbsp;
## 概述
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昇腾AI处理器看板用于查看当前各芯片的信息。
![sysmetric_npu.png](./images/sysmetric_npu.png)
![resources_npu.png](./images/resources_npu.png)
图1:硬件资源昇腾AI处理器看板
......@@ -30,7 +30,7 @@
- **名称**: 芯片名称。
- **编号**: 芯片编号,从`0``7`.
- **是否空闲**: 芯片是否空闲。
- **健康状态**: 芯片健康指数
- **健康状态**: 芯片健康状态
- **IP地址**: 芯片IP地址。
- **已用HBM内存(MB)**: 芯片已用的HBM内存。
- **功率(W)**: 芯片功率。
......@@ -42,7 +42,7 @@
CPU看板用于查看当前系统CPU总计及每个核的信息。
![sysmetric_cpu.png](./images/sysmetric_cpu.png)
![resources_cpu.png](./images/resources_cpu.png)
图2:硬件资源CPU看板
......@@ -67,7 +67,7 @@ CPU看板用于查看当前系统CPU总计及每个核的信息。
内存用于查看当前系统内存的信息。
![sysmetric_mem.png](./images/sysmetric_mem.png)
![resources_mem.png](./images/resources_mem.png)
图3:硬件资源内存看板
......
......@@ -7,7 +7,7 @@
summary_record
dashboard
lineage_and_scalars_comparision
system_metrics
hardware_resources
performance_profiling
performance_profiling_gpu
mindinsight_commands
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