使用Cloud Engine时，在IBM云中可以访问的工作的OUPUT在哪里？
我正在学习使用IBM云，尤其是云引擎。我的兴趣是，由于每次运行所需的时间和内存，我无法在计算机上运行的作业。
我遵循此处介绍的示例。
我要做的下一件事是尝试运行一些简单的python代码，例如
for i in range(10):
print(i)
在云上。该代码位于GitHub存储库中，该存储库仅包含一个读数文件和源代码本身，仅作为实验运行的这两条线。
在云引擎内部，我进行了适当的更改以使用该源代码，然后进行以下操作：
- 选择“运行源代码”，提供适当的GitHub存储库。
- 选择创建“作业”。
- 指定构建详细信息时：
3.1。我在“源”部分中配置了分支的方向。
3.2。在“策略”中，我选择了云本机构建包，因为我没有dockerfile。
3.3。在“输出”中，我选择专有名称。
- 当我单击“创建”时，一切都很好。
之后，我运行代码，并且可以看到它成功运行，但后来我不知道在哪里可以看到结果。当我使用该应用程序进行示例时，它就像视频中一样容易，但是当使用作业时，我似乎找不到输出的去向。
I'm learning to use IBM Cloud, particularly the Cloud Engine. My interest is in running jobs that I cannot run in my computer due to the time and memory needed per run.
I have followed the example presented here https://www.youtube.com/results?search_query=ibm+cloud+run+source+code to run source code and it all goes well.
The next thing that I have done is to try to run some simple python code, say
for i in range(10):
print(i)
on the cloud. The code is located in a github repository that contains only a readme file and the source code itself, only those two lines to run as an experiment.
Inside the Cloud Engine, I make the appropriate changes to use that source code and then, I do the following:
- Select "Run your source code", providing the appropriate github repository.
- Select create "Job".
- When specifying the build details:
3.1. I configure the directions of the branches in the section "Source".
3.2. In "Strategy", I select Cloud Native Buildpack, since I do not have a Dockerfile.
3.3. In "Output", I select the proper names.
- When I click on "Create", all goes well.
Afterwards, I run my code, and I can see that it runs successfully, but then I do not know where to see the results. When I ran the example with the application, it was just as easy as in the video, but when using a Job, I cannot seem to find where the output goes.
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您将需要打开日志记录，然后从命令行运行来关注您的应用程序
。
本教程的步骤2显示了如何打开项目的日志记录 - https://developer..ibm.com/tutorials/mq-write-and-and-run-serverless-mq-papplications/
You will need to switch on logging, then follow your application by running
from the command line.
Step 2 of this tutorial shows how to switch on logging for your project - https://developer.ibm.com/tutorials/mq-write-and-run-serverless-mq-applications/