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added FashionMNIST dataset #238

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Sep 2, 2017
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added FashionMNIST dataset #238

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added FashionMNIST dataset
kashif Sep 2, 2017
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documentation
kashif Sep 2, 2017
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fixed formatting
kashif Sep 2, 2017
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fixed formatting
kashif Sep 2, 2017
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fixed formatting
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@kashif
kashif committed Sep 2, 2017
commit bba63bba002b607a39e64eeba84b9de01eee5d70
16 changes: 8 additions & 8 deletions README.rst
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Expand Up @@ -392,32 +392,32 @@ For example:
Utils
=====

make\_grid(tensor, nrow=8, padding=2, normalize=False, range=None, scale\_each=False, pad\_value=0)
``make\_grid(tensor, nrow=8, padding=2, normalize=False, range=None, scale\_each=False, pad\_value=0)``

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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Given a 4D mini-batch Tensor of shape (B x C x H x W),
or a list of images all of the same size,
makes a grid of images

normalize=True will shift the image to the range (0, 1),
``normalize=True`` will shift the image to the range (0, 1),
by subtracting the minimum and dividing by the maximum pixel value.

if range=(min, max) where min and max are numbers, then these numbers are used to
if ``range=(min, max)`` where ``min`` and ``max`` are numbers, then these numbers are used to
normalize the image.

scale_each=True will scale each image in the batch of images separately rather than
computing the (min, max) over all images.
``scale_each=True`` will scale each image in the batch of images separately rather than
computing the ``(min, max)`` over all images.

pad_value=<float> sets the value for the padded pixels.
``pad_value=<float>`` sets the value for the padded pixels.

`Example usage is given in this notebook` <https://gist.github.com/anonymous/bf16430f7750c023141c562f3e9f2a91>

save\_image(tensor, filename, nrow=8, padding=2, normalize=False, range=None, scale\_each=False, pad\_value=0)
``save\_image(tensor, filename, nrow=8, padding=2, normalize=False, range=None, scale\_each=False, pad\_value=0)``

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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Saves a given Tensor into an image file.

If given a mini-batch tensor, will save the tensor as a grid of images.

All options after `filename` are passed through to `make_grid`. Refer to it's documentation for
All options after ``filename`` are passed through to ``make_grid``. Refer to it's documentation for
more details