Commit 5497042b authored by Sasank Chilamkurthy's avatar Sasank Chilamkurthy
Browse files

Add docs

parent 5b433d83
...@@ -4,4 +4,5 @@ torchvision.egg-info/ ...@@ -4,4 +4,5 @@ torchvision.egg-info/
*/**/__pycache__ */**/__pycache__
*/**/*.pyc */**/*.pyc
*/**/*~ */**/*~
*~ *~
\ No newline at end of file docs/build
\ No newline at end of file
# 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)
@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
sphinx
sphinxcontrib-googleanalytics
-e git://github.com/snide/sphinx_rtd_theme.git#egg=sphinx_rtd_theme
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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#!/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
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:
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
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:
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
Utils
=====
.. currentmodule:: torchvision.utils
.. autofunction:: make_grid
.. autofunction:: save_image
.. automodule:: torchvision
:members:
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