Add docs

.gitignore

@@ -4,4 +4,5 @@ torchvision.egg-info/
 */**/__pycache__
 */**/*.pyc
 */**/*~
-*~
\ No newline at end of file
+*~
+docs/build
\ No newline at end of file

docs/Makefile

+# Minimal makefile for Sphinx documentation
+#
+
+# You can set these variables from the command line.
+SPHINXOPTS    =
+SPHINXBUILD   = sphinx-build
+SPHINXPROJ    = torchvision
+SOURCEDIR     = source
+BUILDDIR      = build
+
+# Put it first so that "make" without argument is like "make help".
+help:
+	@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+
+docset: html
+	doc2dash --name $(SPHINXPROJ) --icon $(SOURCEDIR)/_static/img/pytorch-logo-flame.png --enable-js --online-redirect-url http://pytorch.org/vision/ --force $(BUILDDIR)/html/
+
+	# Manually fix because Zeal doesn't deal well with `icon.png`-only at 2x resolution.
+	cp $(SPHINXPROJ).docset/icon.png $(SPHINXPROJ).docset/icon@2x.png
+	convert $(SPHINXPROJ).docset/icon@2x.png -resize 16x16 $(SPHINXPROJ).docset/icon.png
+
+.PHONY: help Makefile docset
+
+# Catch-all target: route all unknown targets to Sphinx using the new
+# "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
+%: Makefile
+	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)

docs/make.bat

+@ECHO OFF
+
+pushd %~dp0
+
+REM Command file for Sphinx documentation
+
+if "%SPHINXBUILD%" == "" (
+	set SPHINXBUILD=sphinx-build
+)
+set SOURCEDIR=source
+set BUILDDIR=build
+set SPHINXPROJ=torchvision
+
+if "%1" == "" goto help
+
+%SPHINXBUILD% >NUL 2>NUL
+if errorlevel 9009 (
+	echo.
+	echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
+	echo.installed, then set the SPHINXBUILD environment variable to point
+	echo.to the full path of the 'sphinx-build' executable. Alternatively you
+	echo.may add the Sphinx directory to PATH.
+	echo.
+	echo.If you don't have Sphinx installed, grab it from
+	echo.http://sphinx-doc.org/
+	exit /b 1
+)
+
+%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS%
+goto end
+
+:help
+%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS%
+
+:end
+popd

docs/requirements.txt

+sphinx
+sphinxcontrib-googleanalytics
+-e git://github.com/snide/sphinx_rtd_theme.git#egg=sphinx_rtd_theme

docs/source/_static/css/pytorch_theme.css

+body {
+    font-family: "Lato","proxima-nova","Helvetica Neue",Arial,sans-serif;
+}
+
+/* Default header fonts are ugly */
+h1, h2, .rst-content .toctree-wrapper p.caption, h3, h4, h5, h6, legend, p.caption {
+    font-family: "Lato","proxima-nova","Helvetica Neue",Arial,sans-serif;
+}
+
+/* Use white for docs background */
+.wy-side-nav-search {
+    background-color: #fff;
+}
+
+.wy-nav-content-wrap, .wy-menu li.current > a  {
+    background-color: #fff;
+}
+
+@media screen and (min-width: 1400px) {
+    .wy-nav-content-wrap {
+        background-color: rgba(0, 0, 0, 0.0470588);
+    }
+
+    .wy-nav-content {
+        background-color: #fff;
+    }
+}
+
+/* Fixes for mobile */
+.wy-nav-top {
+    background-color: #fff;
+    background-image: url('../img/pytorch-logo-dark.svg');
+    background-repeat: no-repeat;
+    background-position: center;
+    padding: 0;
+    margin: 0.4045em 0.809em;
+    color: #333;
+}
+
+.wy-nav-top > a {
+    display: none;
+}
+
+@media screen and (max-width: 768px) {
+    .wy-side-nav-search>a img.logo {
+        height: 60px;
+    }
+}
+
+/* This is needed to ensure that logo above search scales properly */
+.wy-side-nav-search a {
+    display: block;
+}
+
+/* This ensures that multiple constructors will remain in separate lines. */
+.rst-content dl:not(.docutils) dt {
+    display: table;
+}
+
+/* Use our red for literals (it's very similar to the original color) */
+.rst-content tt.literal, .rst-content tt.literal, .rst-content code.literal {
+    color: #F05732;
+}
+
+.rst-content tt.xref, a .rst-content tt, .rst-content tt.xref,
+.rst-content code.xref, a .rst-content tt, a .rst-content code {
+    color: #404040;
+}
+
+/* Change link colors (except for the menu) */
+
+a {
+    color: #F05732;
+}
+
+a:hover {
+    color: #F05732;
+}
+
+
+a:visited {
+    color: #D44D2C;
+}
+
+.wy-menu a {
+    color: #b3b3b3;
+}
+
+.wy-menu a:hover {
+    color: #b3b3b3;
+}
+
+/* Default footer text is quite big */
+footer {
+    font-size: 80%;
+}
+
+footer .rst-footer-buttons {
+    font-size: 125%; /* revert footer settings - 1/80% = 125% */
+}
+
+footer p {
+    font-size: 100%;
+}
+
+/* For hidden headers that appear in TOC tree */
+/* see http://stackoverflow.com/a/32363545/3343043 */
+.rst-content .hidden-section {
+    display: none;
+}
+
+nav .hidden-section {
+    display: inherit;
+}
+
+.wy-side-nav-search>div.version {
+    color: #000;
+}

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+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
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+   xmlns:dc="http://purl.org/dc/elements/1.1/"
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+     id="style4694"
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\ No newline at end of file

docs/source/conf.py

+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+#
+# PyTorch documentation build configuration file, created by
+# sphinx-quickstart on Fri Dec 23 13:31:47 2016.
+#
+# This file is execfile()d with the current directory set to its
+# containing dir.
+#
+# Note that not all possible configuration values are present in this
+# autogenerated file.
+#
+# All configuration values have a default; values that are commented out
+# serve to show the default.
+
+# If extensions (or modules to document with autodoc) are in another directory,
+# add these directories to sys.path here. If the directory is relative to the
+# documentation root, use os.path.abspath to make it absolute, like shown here.
+#
+# import os
+# import sys
+# sys.path.insert(0, os.path.abspath('.'))
+import torch
+import torchvision
+import sphinx_rtd_theme
+
+
+# -- General configuration ------------------------------------------------
+
+# If your documentation needs a minimal Sphinx version, state it here.
+#
+# needs_sphinx = '1.0'
+
+# Add any Sphinx extension module names here, as strings. They can be
+# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
+# ones.
+extensions = [
+    'sphinx.ext.autodoc',
+    'sphinx.ext.autosummary',
+    'sphinx.ext.doctest',
+    'sphinx.ext.intersphinx',
+    'sphinx.ext.todo',
+    'sphinx.ext.coverage',
+    'sphinx.ext.mathjax',
+    'sphinx.ext.napoleon',
+    'sphinx.ext.viewcode',
+    'sphinxcontrib.googleanalytics',
+]
+
+napoleon_use_ivar = True
+
+googleanalytics_id = 'UA-90545585-1'
+googleanalytics_enabled = True
+
+# Add any paths that contain templates here, relative to this directory.
+templates_path = ['_templates']
+
+# The suffix(es) of source filenames.
+# You can specify multiple suffix as a list of string:
+#
+# source_suffix = ['.rst', '.md']
+source_suffix = '.rst'
+
+# The master toctree document.
+master_doc = 'index'
+
+# General information about the project.
+project = 'Torchvision'
+copyright = '2017, Torch Contributors'
+author = 'Torch Contributors'
+
+# The version info for the project you're documenting, acts as replacement for
+# |version| and |release|, also used in various other places throughout the
+# built documents.
+#
+# The short X.Y version.
+# TODO: change to [:2] at v1.0
+version = 'master (' + torchvision.__version__ + ' )'
+# The full version, including alpha/beta/rc tags.
+# TODO: verify this works as expected
+release = 'master'
+
+# The language for content autogenerated by Sphinx. Refer to documentation
+# for a list of supported languages.
+#
+# This is also used if you do content translation via gettext catalogs.
+# Usually you set "language" from the command line for these cases.
+language = None
+
+# List of patterns, relative to source directory, that match files and
+# directories to ignore when looking for source files.
+# This patterns also effect to html_static_path and html_extra_path
+exclude_patterns = []
+
+# The name of the Pygments (syntax highlighting) style to use.
+pygments_style = 'sphinx'
+
+# If true, `todo` and `todoList` produce output, else they produce nothing.
+todo_include_todos = True
+
+
+# -- Options for HTML output ----------------------------------------------
+
+# The theme to use for HTML and HTML Help pages.  See the documentation for
+# a list of builtin themes.
+#
+html_theme = 'sphinx_rtd_theme'
+html_theme_path = [sphinx_rtd_theme.get_html_theme_path()]
+
+# Theme options are theme-specific and customize the look and feel of a theme
+# further.  For a list of options available for each theme, see the
+# documentation.
+#
+html_theme_options = {
+    'collapse_navigation': False,
+    'display_version': True,
+    'logo_only': True,
+}
+
+html_logo = '_static/img/pytorch-logo-dark.svg'
+
+# Add any paths that contain custom static files (such as style sheets) here,
+# relative to this directory. They are copied after the builtin static files,
+# so a file named "default.css" will overwrite the builtin "default.css".
+html_static_path = ['_static']
+
+# html_style_path = 'css/pytorch_theme.css'
+html_context = {
+    'css_files': [
+        'https://fonts.googleapis.com/css?family=Lato',
+        '_static/css/pytorch_theme.css'
+    ],
+}
+
+
+# -- Options for HTMLHelp output ------------------------------------------
+
+# Output file base name for HTML help builder.
+htmlhelp_basename = 'PyTorchdoc'
+
+
+# -- Options for LaTeX output ---------------------------------------------
+
+latex_elements = {
+    # The paper size ('letterpaper' or 'a4paper').
+    #
+    # 'papersize': 'letterpaper',
+
+    # The font size ('10pt', '11pt' or '12pt').
+    #
+    # 'pointsize': '10pt',
+
+    # Additional stuff for the LaTeX preamble.
+    #
+    # 'preamble': '',
+
+    # Latex figure (float) alignment
+    #
+    # 'figure_align': 'htbp',
+}
+
+# Grouping the document tree into LaTeX files. List of tuples
+# (source start file, target name, title,
+#  author, documentclass [howto, manual, or own class]).
+latex_documents = [
+    (master_doc, 'pytorch.tex', 'torchvision Documentation',
+     'Torch Contributors', 'manual'),
+]
+
+
+# -- Options for manual page output ---------------------------------------
+
+# One entry per manual page. List of tuples
+# (source start file, name, description, authors, manual section).
+man_pages = [
+    (master_doc, 'torchvision', 'torchvision Documentation',
+     [author], 1)
+]
+
+
+# -- Options for Texinfo output -------------------------------------------
+
+# Grouping the document tree into Texinfo files. List of tuples
+# (source start file, target name, title, author,
+#  dir menu entry, description, category)
+texinfo_documents = [
+    (master_doc, 'torchvision', 'torchvision Documentation',
+     author, 'torchvision', 'One line description of project.',
+     'Miscellaneous'),
+]
+
+
+# Example configuration for intersphinx: refer to the Python standard library.
+intersphinx_mapping = {
+    'python': ('https://docs.python.org/', None),
+    'numpy': ('http://docs.scipy.org/doc/numpy/', None),
+}
+
+# -- A patch that prevents Sphinx from cross-referencing ivar tags -------
+# See http://stackoverflow.com/a/41184353/3343043
+
+from docutils import nodes
+from sphinx.util.docfields import TypedField
+from sphinx import addnodes
+
+
+def patched_make_field(self, types, domain, items, **kw):
+    # `kw` catches `env=None` needed for newer sphinx while maintaining
+    #  backwards compatibility when passed along further down!
+
+    # type: (List, unicode, Tuple) -> nodes.field
+    def handle_item(fieldarg, content):
+        par = nodes.paragraph()
+        par += addnodes.literal_strong('', fieldarg)  # Patch: this line added
+        # par.extend(self.make_xrefs(self.rolename, domain, fieldarg,
+        #                           addnodes.literal_strong))
+        if fieldarg in types:
+            par += nodes.Text(' (')
+            # NOTE: using .pop() here to prevent a single type node to be
+            # inserted twice into the doctree, which leads to
+            # inconsistencies later when references are resolved
+            fieldtype = types.pop(fieldarg)
+            if len(fieldtype) == 1 and isinstance(fieldtype[0], nodes.Text):
+                typename = u''.join(n.astext() for n in fieldtype)
+                typename = typename.replace('int', 'python:int')
+                typename = typename.replace('long', 'python:long')
+                typename = typename.replace('float', 'python:float')
+                typename = typename.replace('type', 'python:type')
+                par.extend(self.make_xrefs(self.typerolename, domain, typename,
+                                           addnodes.literal_emphasis, **kw))
+            else:
+                par += fieldtype
+            par += nodes.Text(')')
+        par += nodes.Text(' -- ')
+        par += content
+        return par
+
+    fieldname = nodes.field_name('', self.label)
+    if len(items) == 1 and self.can_collapse:
+        fieldarg, content = items[0]
+        bodynode = handle_item(fieldarg, content)
+    else:
+        bodynode = self.list_type()
+        for fieldarg, content in items:
+            bodynode += nodes.list_item('', handle_item(fieldarg, content))
+    fieldbody = nodes.field_body('', bodynode)
+    return nodes.field('', fieldname, fieldbody)
+
+TypedField.make_field = patched_make_field

docs/source/datasets.rst

+Datasets
+========
+
+All datasets are subclasses of :class:`torch.utils.data.Dataset`
+i.e, they have ``__getitem__`` and ``__len__`` methods implemented.
+Hence, they can all be passed to a :class:`torch.utils.data.DataLoader`
+which can load multiple samples parallelly using ``torch.multiprocessing`` workers. 
+For example: ::
+    
+    imagenet_data = torchvision.datasets.ImageFolder('path/to/imagenet_root/')
+    data_loader = torch.utils.data.DataLoader(imagenet_data, 
+                                              batch_size=4,
+                                              shuffle=True,
+                                              num_workers=args.nThreads)
+
+The following datasets are available:
+
+.. contents:: Datasets
+    :local:
+
+All the datasets have almost similar API. They all have two common arguments:
+``transform`` and  ``target_transform`` to transform the input and target respectively.
+
+
+.. currentmodule:: torchvision.datasets 
+
+
+MNIST
+~~~~~
+
+.. autoclass:: MNIST
+
+COCO
+~~~~
+
+.. note ::
+    These require the `COCO API to be installed`_
+
+.. _COCO API to be installed: https://github.com/pdollar/coco/tree/master/PythonAPI
+
+
+Captions
+^^^^^^^^
+
+.. autoclass:: CocoCaptions
+  :members: __getitem__
+  :special-members:
+
+
+Detection
+^^^^^^^^^
+
+.. autoclass:: CocoDetection
+  :members: __getitem__
+  :special-members:
+
+LSUN
+~~~~
+
+.. autoclass:: LSUN
+  :members: __getitem__
+  :special-members:
+
+ImageFolder
+~~~~~~~~~~~
+
+.. autoclass:: ImageFolder
+  :members: __getitem__
+  :special-members:
+
+
+Imagenet-12
+~~~~~~~~~~~
+
+This should simply be implemented with an ``ImageFolder`` dataset.
+The data is preprocessed `as described
+here <https://github.com/facebook/fb.resnet.torch/blob/master/INSTALL.md#download-the-imagenet-dataset>`__
+
+`Here is an
+example <https://github.com/pytorch/examples/blob/27e2a46c1d1505324032b1d94fc6ce24d5b67e97/imagenet/main.py#L48-L62>`__.
+
+CIFAR
+~~~~~
+
+.. autoclass:: CIFAR10
+  :members: __getitem__
+  :special-members:
+
+STL10
+~~~~~
+
+
+.. autoclass:: STL10
+  :members: __getitem__
+  :special-members:
+
+SVHN
+~~~~~
+
+
+.. autoclass:: SVHN
+  :members: __getitem__
+  :special-members:
+
+PhotoTour
+~~~~~~~~~
+
+
+.. autoclass:: PhotoTour
+  :members: __getitem__
+  :special-members:
+

docs/source/index.rst

+torchvision
+===================
+
+The :mod:`torchvision` package consists of popular datasets, model
+architectures, and common image transformations for computer vision.
+
+.. toctree::
+   :maxdepth: 1
+   :caption: Package Reference
+
+   datasets
+   models
+   transforms
+   utils

docs/source/models.rst

+Models
+======
+
+
+.. currentmodule:: torchvision.models
+
+.. automodule:: torchvision.models
+   :members: alexnet, resnet18, resnet34, resnet50, resnet101, resnet152,
+             vgg11, vgg11_bn, vgg13, vgg13_bn, vgg16, vgg16_bn, vgg19,
+             vgg19_bn, inception_v3, squeezenet1_0, squeezenet1_1, densenet121, 
+             densenet169, densenet201, densenet161
+   :undoc-members:

docs/source/transforms.rst

+Transforms
+==========
+
+.. currentmodule:: torchvision.transforms
+
+Transforms are common image transforms. They can be chained together using :class:`Compose`
+
+.. autoclass:: Compose
+
+Transforms on PIL.Image
+-----------------------
+
+.. autoclass:: Scale
+
+.. autoclass:: CenterCrop
+
+.. autoclass:: RandomCrop
+
+.. autoclass:: RandomHorizontalFlip
+
+.. autoclass:: RandomSizedCrop
+
+.. autoclass:: Pad
+
+Transforms on torch.\*Tensor
+----------------------------
+
+.. autoclass:: Normalize
+	:members: __call__
+	:special-members:
+
+
+Conversion Transforms
+---------------------
+
+.. autoclass:: ToTensor
+	:members: __call__
+	:special-members:
+
+.. autoclass:: ToPILImage
+	:members: __call__
+	:special-members:
+
+Generic Transforms
+------------------
+
+.. autoclass:: Lambda
+

docs/source/utils.rst

+Utils
+=====
+
+.. currentmodule:: torchvision.utils
+
+.. autofunction:: make_grid
+
+.. autofunction:: save_image
+
+
+.. automodule:: torchvision
+   :members: