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Next select the appropriate download of the CLI and install it.
Uploading a dataset
Once the install is complete, you will configure the terminal and check if it has installed correctly.
Configuring your Terminal
Next you will need to configure your terminal such that you can upload your data in a neat and usable format. Press the windows key and type 'Windows PowerShell' to open a powershell terminal. Powershell has many similarities to a linux terminal that you may be familiar with from accessing exiting University resources but looks different due to syntax. You can still use commands such as 'cd' and 'ls' just like you can in linux.
In your terminal, call the following to check if Nvidia CLI has installed correctly:
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ngc --version |
This should return the version of the CLI that you installed. Your username should appear here as well. You can change directories by invoking:
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cd C:\Users\your_username\ |
To list the contents of your directory, invoke:
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ls |
Next, you will configure your ngc such that you can upload your data to your workspace and access it within a job. To begin, invoke:
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ngc config set |
You will be prompted for your API key that you generated earlier. You can copy (ctrl+c) and then paste (ctrl+v) in your powershell terminal to submit your API key.
Next it will prompt you for your CLI output type, select ascii by typing in:
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ascii |
If you entered a different option or accidentally skipped this entry, you can invoke 'ngc config set' again to pick your choices again. Hitting enter without any input will skip the prompt, so you do not need to re-enter your API key unless you need to.
Next you will be asked to enter your organization, enter the following:
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University at Albany (SUNY) |
Next it will ask you to enter your team name. This should be your lab team in which you will be working in. Lastly the terminal will prompt you for 'ace'. Enter the following in order to set your architecture:
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univ-of-albany-iad2-ace |
If done successfully, you will see something similar to the following:
You should see your username and lab name in the appropriate spaces. Congrats on setting up the terminal! You are now ready to upload your data.
Uploading Data
- from your computer
- from your lab folder
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