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OpenDAS
dgl
Commits
ff64bd0d
"examples/vscode:/vscode.git/clone" did not exist on "b1840f49fae30d6830370d36c3c6af4881c60927"
Unverified
Commit
ff64bd0d
authored
Feb 16, 2021
by
Da Zheng
Committed by
GitHub
Feb 16, 2021
Browse files
add warning for a bug in README (#2665)
parent
0cbaa1fb
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examples/pytorch/graphsage/experimental/README.md
examples/pytorch/graphsage/experimental/README.md
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examples/pytorch/rgcn/experimental/README.md
examples/pytorch/rgcn/experimental/README.md
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examples/pytorch/graphsage/experimental/README.md
View file @
ff64bd0d
...
@@ -70,6 +70,10 @@ After runing this command, user can find a folder called ``graphsage`` on each m
...
@@ -70,6 +70,10 @@ After runing this command, user can find a folder called ``graphsage`` on each m
DGL provides a script to launch the training job in the cluster.
`part_config`
and
`ip_config`
DGL provides a script to launch the training job in the cluster.
`part_config`
and
`ip_config`
specify relative paths to the path of the workspace.
specify relative paths to the path of the workspace.
The command below launches one training process on each machine and each training process has 4 sampling processes.
**Note**
: There is a known bug in Python 3.8. The training process hangs when running multiple sampling processes for each training process.
Please set the number of sampling processes to 0 if you are using Python 3.8.
```
bash
```
bash
python3 ~/dgl/tools/launch.py
\
python3 ~/dgl/tools/launch.py
\
--workspace
~/graphsage/
\
--workspace
~/graphsage/
\
...
...
examples/pytorch/rgcn/experimental/README.md
View file @
ff64bd0d
...
@@ -80,6 +80,10 @@ Users need to copy the training script to the workspace directory on remote mach
...
@@ -80,6 +80,10 @@ Users need to copy the training script to the workspace directory on remote mach
DGL provides a script to launch the training job in the cluster.
`part_config`
and
`ip_config`
DGL provides a script to launch the training job in the cluster.
`part_config`
and
`ip_config`
specify relative paths to the path of the workspace.
specify relative paths to the path of the workspace.
The command below launches one training process on each machine and each training process has 4 sampling processes.
**Note**
: There is a known bug in Python 3.8. The training process hangs when running multiple sampling processes for each training process.
Please set the number of sampling processes to 0 if you are using Python 3.8.
```
bash
```
bash
python3 ~/dgl/tools/launch.py
\
python3 ~/dgl/tools/launch.py
\
--workspace
~/rgcn/
\
--workspace
~/rgcn/
\
...
...
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