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beginner_source/hyperparameter_tuning_tutorial.py

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@@ -184,7 +184,7 @@ def forward(self, x):
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# inputs, labels = inputs.to(device), labels.to(device)
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#
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# The code now supports training on CPUs, on a single GPU, and on multiple GPUs. Notably, Ray
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# also supports `fractional GPUs <https://docs.ray.io/en/master/using-ray-with-gpus.html#fractional-gpus>`_
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# also supports `fractional GPUs <https://docs.ray.io/en/latest/ray-core/scheduling/accelerators.html#fractional-accelerators>`_
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# so we can share GPUs among trials, as long as the model still fits on the GPU memory. We'll come back
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# to that later.
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#

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