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This topic explains how to install DGL-KE. We recommend installing DGL-KE by using pip and from the source.
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System requirements¶
DGL-KE works with the following operating systems:
- Ubuntu 16.04 or higher version
- macOS x
DGL-KE requires Python version 3.5 or later. Python 3.4 or earlier is not tested. Python 2 support is coming.
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DGL-KE supports multiple tensor libraries as backends, e.g., PyTorch and MXNet. For requirements on backends and how to select one, see Working with different backends. As a demo, we install Pytorch using pip: Brrip movies download.
Install DGL¶
DGL-KE is implemented on the top of DGL (0.4.3 version). You can install DGL using pip:
Install DGL-KE¶
Setup Download For Pc
After installing DGL, you can install DGL-KE. The fastest way to install DGL-KE is by using pip:
or you can install DGL-KE from source:
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Have a Quick Test¶
Once you install DGL-KE successfully, you can test it by the following command:
Torch Setup Download Freeclubsoftsoftram Windows 10
DGL-KE supports multiple tensor libraries as backends, e.g., PyTorch and MXNet. For requirements on backends and how to select one, see Working with different backends. As a demo, we install Pytorch using pip: Brrip movies download.
Install DGL¶
DGL-KE is implemented on the top of DGL (0.4.3 version). You can install DGL using pip:
Install DGL-KE¶
Setup Download For Pc
After installing DGL, you can install DGL-KE. The fastest way to install DGL-KE is by using pip:
or you can install DGL-KE from source:
Torch Setup Download Freeclubsoftsoftram Pc
Have a Quick Test¶
Once you install DGL-KE successfully, you can test it by the following command:
This command will download the FB15k dataset, train the transE model on that, and save the trained embeddings into the file. You could see the following output at the end:
