Commit 088d5674 authored by Soumith Chintala's avatar Soumith Chintala
Browse files

improve README and add sphinx docs generator

parent e7eb0be2
......@@ -2,12 +2,15 @@ Load Audio files directly into PyTorch Tensors
================================================
Audio library for PyTorch
* Support audio I/O (Load files)
Load the following formats into a torch Tensor
* mp3, wav, aac, ogg, flac, avr, cdda, cvs/vms,
* aiff, au, amr, mp2, mp4, ac3, avi, wmv,
* mpeg, ircam and any other format supported by libsox.
- [Support audio I/O (Load files, Save files)](http://pytorch.org/audio/)
- Load the following formats into a torch Tensor
- mp3, wav, aac, ogg, flac, avr, cdda, cvs/vms,
- aiff, au, amr, mp2, mp4, ac3, avi, wmv,
- mpeg, ircam and any other format supported by libsox.
- [Dataloaders for common audio datasets (VCTK, YesNo)](http://pytorch.org/audio/datasets.html)
- Common audio transforms
- [Scale, PadTrim, DownmixMono, LC2CL, BLC2CBL, MuLawEncoding, MuLawExpanding](http://pytorch.org/audio/transforms.html)
Dependencies
------------
......@@ -42,22 +45,5 @@ torchaudio.save('foo_save.mp3', sound, sample_rate) # saves tensor to file
API Reference
-----------
torchaudio.load
```
loads an audio file into a Tensor
audio.load(
string, # path to file
out=None, # optionally pass output Tensor (any CPU Tensor type)
)
```
torchaudio.save
```
saves a tensor into an audio file. The extension of the given path is used as the saving format.
audio.save(
string, # path to file
tensor, # NSamples x NChannels 2D tensor
number, # sample_rate of the audio to be saved as
)
```
API Reference is located here: http://pytorch.org/audio/
# Minimal makefile for Sphinx documentation
#
# You can set these variables from the command line.
SPHINXOPTS =
SPHINXBUILD = sphinx-build
SPHINXPROJ = torchaudio
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/audio/ --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=torchaudio
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;
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/* 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;
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}
/* 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 torchaudio
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 = 'Torchaudio'
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 '
# 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', 'torchaudio 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, 'torchaudio', 'torchaudio 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, 'torchaudio', 'torchaudio Documentation',
author, 'torchaudio', '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
torchaudio.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: ::
yesno_data = torchaudio.datasets.YESNO('.', download=True)
data_loader = torch.utils.data.DataLoader(yesno_data,
batch_size=1,
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:: torchaudio.datasets
VCTK
~~~~~
.. autoclass:: VCTK
:members: __getitem__
:special-members:
YESNO
~~~~~~~~~~~~~
.. autoclass:: YESNO
:members: __getitem__
:special-members:
torchaudio
===========
The :mod:`torchaudio` package consists of I/O, popular datasets and common audio transformations.
.. toctree::
:maxdepth: 2
:caption: Package Reference
datasets
transforms
.. automodule:: torchaudio
:members:
torchaudio.transforms
======================
.. currentmodule:: torchaudio.transforms
Transforms are common audio transforms. They can be chained together using :class:`Compose`
.. autoclass:: Compose
.. autoclass:: Scale
.. autoclass:: PadTrim
.. autoclass:: DownmixMono
.. autoclass:: LC2CL
.. autoclass:: MEL
.. autoclass:: BLC2CBL
.. autoclass:: MuLawEncoding
.. autoclass:: MuLawExpanding
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