Docs improvement: configurations and more #1823
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| # NNI on Windows (experimental feature) | |||
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| Currently we support local, remote and pai mode on Windows. Windows 10.1809 is well tested and recommended. | |||
| Running NNI on Windows is an experimental feature. Windows 10.1809 is well tested and recommended. | |||
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Is NNI on Windows still experimental?
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@SparkSnail I think our windows version only contains part of the function of nni?
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@SparkSnail I think our windows version only contains part of the function of nni?
Yes, NNI only support local/remote/pai on windows, I don't know if we will support all of platform in the feature. In this point, maybe it's reasonable that we call it an experimental feature.
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could remove this sentence. could be replaced with We have supported NNI on Windows.
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But we did not support all functions in Windows. We should point out which functions we support, which not.
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| # NNI on Windows (experimental feature) | |||
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| Currently we support local, remote and pai mode on Windows. Windows 10.1809 is well tested and recommended. | |||
| Running NNI on Windows is an experimental feature. Windows 10.1809 is well tested and recommended. | |||
There was a problem hiding this comment.
@SparkSnail I think our windows version only contains part of the function of nni?
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| #### Windows | ||
| Simply filling the `machineList` section and then run: | ||
| Files in `codeDir` will be automatically uploaded to the remote machine. You can run NNI on different operating systems (Windows, Linux, MacOS) to spawn experiments on the remote machines: |
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better to mention that only linux is allowed on remote machines
| #The hdfs directory to store data on OpenPAI, format 'hdfs://host:port/directory' | ||
| dataDir: hdfs://10.10.10.10:9000/username/nni | ||
| #The hdfs directory to store output data generated by nni, format 'hdfs://host:port/directory' | ||
| outputDir: hdfs://10.10.10.10:9000/username/nni |
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no need to specify dataDir?
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yes, the configuration is removed.
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| * __local__ run an experiment on local ubuntu machine. | ||
| * TODO: explain frameworkcontroller. |
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frameworkcontroller submit trial jobs to kubernetes. It is built to orchestrate all kinds of applications (e.g., Tensorflow models, PyTorch models, Python scripts) on Kubernetes by a single controller. For more details of configuration for frameworkcontroller mode, please refer to FrameworkController Docs
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