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Commit b6483746 authored by Taras Lazariv's avatar Taras Lazariv
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Make linter happy again

parent 21b4e717
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5 merge requests!333Draft: update NGC containers,!322Merge preview into main,!319Merge preview into main,!279Draft: Machine Learning restructuring,!258Data Analytics restructuring
......@@ -21,7 +21,6 @@ It has 34 nodes, each with:
The easiest way is using the [module system](../software/modules.md).
The software for the `alpha` partition is available in `modenv/hiera` module environment.
To check the available modules for `modenv/hiera`, use the command
```bash
......
......@@ -5,10 +5,10 @@
### Distributed TensorFlow
TODO
### Distributed Pytorch
**hint: just copied some old content as starting point**
just copied some old content as starting point
#### Using Multiple GPUs with PyTorch
......@@ -180,4 +180,4 @@ install command after loading the NCCL module:
```Bash
module load NCCL/2.3.7-fosscuda-2018b
HOROVOD_GPU_ALLREDUCE=NCCL HOROVOD_GPU_BROADCAST=NCCL HOROVOD_WITHOUT_TENSORFLOW=1 HOROVOD_WITH_PYTORCH=1 HOROVOD_WITHOUT_MXNET=1 pip install --no-cache-dir horovod
```
\ No newline at end of file
```
......@@ -196,11 +196,13 @@ There are three script preparation steps for OmniOpt:
### Configure and Run OmniOpt
As a starting point, configuring OmniOpt is done via a GUI at [https://imageseg.scads.ai/omnioptgui/](https://imageseg.scads.ai/omnioptgui/).
This GUI guides through the configuration process and as result the config file is created automatically according to the GUI input.
If you are more familiar with using OmniOpt later on, this config file can be modified directly without using the GUI.
As a starting point, configuring OmniOpt is done via a GUI at
[https://imageseg.scads.ai/omnioptgui/](https://imageseg.scads.ai/omnioptgui/).
This GUI guides through the configuration process and as result the config file is created
automatically according to the GUI input. If you are more familiar with using OmniOpt later on,
this config file can be modified directly without using the GUI.
A screenshot of the GUI, including a properly configuration for the MNIST fashion example is shown below.
A screenshot of the GUI, including a properly configuration for the MNIST fashion example is shown below.
The GUI, in which the displayed values are already entered, can be reached [here](https://imageseg.scads.ai/omnioptgui/?maxevalserror=5&mem_per_worker=1000&projectname=mnist-fashion-optimization-set-1&partition=alpha&searchtype=tpe.suggest&objective_program=bash%20%2Fscratch%2Fws%2Fpath%2Fto%2Fyou%2Fscript%2Frun-mnist-fashion.sh%20(%24x_0)%20(%24x_1)%20(%24x_2)&param_0_type=hp.randint&param_1_type=hp.randint&number_of_parameters=3){:target="_blank"}.
![GUI for configuring OmniOpt](misc/hyperparameter_optimization-OmniOpt-GUI.png)
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