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Fix ReST and typo in CIFAR tutorial
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beginner_source/blitz/cifar10_tutorial.py

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@@ -62,6 +62,7 @@
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########################################################################
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# The output of torchvision datasets are PILImage images of range [0, 1].
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# We transform them to Tensors of normalized range [-1, 1].
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#
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# .. note::
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# If running on Windows and you get a BrokenPipeError, try setting
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# the num_worker of torch.utils.data.DataLoader() to 0.
@@ -316,7 +317,7 @@ def forward(self, x):
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#
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# inputs, labels = data[0].to(device), data[1].to(device)
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#
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# Why dont I notice MASSIVE speedup compared to CPU? Because your network
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# Why don't I notice MASSIVE speedup compared to CPU? Because your network
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# is really small.
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#
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# **Exercise:** Try increasing the width of your network (argument 2 of

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