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Update beginner_source/knowledge_distillation_tutorial.py
Co-authored-by: Svetlana Karslioglu <svekars@meta.com>
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beginner_source/knowledge_distillation_tutorial.py

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@@ -150,7 +150,7 @@ def forward(self, x):
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# - ``train_loader``: We defined our train_loader above, its job is to feed the data into the model
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# - ``epochs``: How many times we loop over the dataset
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# - ``learning_rate``: How large do we want the steps to be towards convergence. Too large / small steps can be bad
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# - ``device``: depends on CPU or GPU availability
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# - ``device``: Determines the device to run the workload on. Can be either CPU or GPU depending on availability.
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#
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# Our test function is similar, but it will be invoked with our ``test_loader``, to load images from our test set.
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#

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