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edit pytorch lightning example
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@@ -7,18 +7,21 @@ script demonstrates the integration of ClearML into code that uses PyTorch Light
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The example script does the following:
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* Trains a simple deep neural network on the PyTorch built-in MNIST dataset
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* Specifies Argparse configurations which are automatically captured by ClearML
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* Defines Argparse command line options, which are automatically captured by ClearML
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* Creates an experiment named `pytorch lightning mnist example`, which is associated with the `examples` project.
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## Scalars
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The test loss and validation loss metric scalar plots appear in the experiment's page in the ClearML web UI under **RESULTS > SCALARS**.
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Resource utilization plots, which are titled **:monitor: machine**, also appear in the **SCALARS** tab.
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## Hyperparameters
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Lightning returns logs after
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ClearML automatically logs command line options defined with argparse. They appear in CONFIGURATIONS > HYPER PARAMETERS > Args.
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ClearML automatically logs command line options defined with argparse and TensorFlow Definitions, which appear in
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**CONFIGURATIONS > HYPER PARAMETERS > Args** and **TF_DEFINE** respectively.
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@@ -75,6 +75,7 @@ module.exports = {
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'guides/frameworks/pytorch/tensorboard_toy_pytorch']
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},
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{'Pytorch Ignite': ['guides/frameworks/pytorch ignite/integration_pytorch_ignite']},
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{'Pytorch Lightning': ['guides/frameworks/pytorch_lightning/pytorch_lightning_example']},
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{
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'Pytorch Notebooks': [
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{'Audio': ['guides/frameworks/pytorch/notebooks/audio/audio_classification_UrbanSound8K', 'guides/frameworks/pytorch/notebooks/audio/audio_preprocessing_example']},
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