pytorch/docs/source/conf.py
Edward Yang e4766fb4d9 Meta tensors, but without code deduplication (#38490)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/38490

A meta tensor is a tensor that is a lot like a normal tensor,
except it doesn't actually have any data associated with it.
You can use them to carry out shape/dtype computations without
actually having to run the actual code; for example, this could
be used to do shape inference in a JIT analysis pass.
Check out the description in DispatchKey.h for more information.

Meta tensors are part of a larger project to rationalize how we
write kernels so that we don't have to duplicate shape logic
in CPU kernel, CUDA kernel and meta kernel (this PR makes the
duplication problem worse!)  However, that infrastructure can
be built on top of this proof of concept, which just shows how
you can start writing meta kernels today even without this
infrastructure.

There are a lot of things that don't work:
- I special cased printing for dense tensors only; if you try to
  allocate a meta sparse / quantized tensor things aren't going
  to work.
- The printing formula implies that torch.tensor() can take an
  ellipsis, but I didn't add this.
- I wrote an example formula for binary operators, but it isn't
  even right!  (It doesn't do type promotion of memory layout
  correctly).  The most future proof way to do it right is to
  factor out the relevant computation out of TensorIterator,
  as it is quite involved.
- Nothing besides torch.add works right now
- Meta functions are ALWAYS included in mobile builds (selective
  build doesn't work on them).  This isn't a big deal for now
  but will become more pressing as more meta functions are added.

One reason I'm putting up this PR now is to check with Yinghai Lu
if we can unblock shape inference for accelerators, while we are
still working on a long term plan for how to unify all shape
computation across our kernels.

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

Test Plan: Imported from OSS

Differential Revision: D21935609

Pulled By: ezyang

fbshipit-source-id: f7d8636eeb8516b6bc296db99a16e56029972eee
2020-06-22 09:18:33 -07:00

381 lines
11 KiB
Python

# -*- 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
# source code directory, relative to this file, for sphinx-autobuild
# sys.path.insert(0, os.path.abspath('../..'))
import torch
try:
import torchvision # noqa: F401
except ImportError:
import warnings
warnings.warn('unable to load "torchvision" package')
RELEASE = os.environ.get('RELEASE', False)
import pytorch_sphinx_theme
# -- General configuration ------------------------------------------------
# If your documentation needs a minimal Sphinx version, state it here.
#
needs_sphinx = '1.6'
# 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.napoleon',
'sphinx.ext.viewcode',
'sphinxcontrib.katex',
'sphinx.ext.autosectionlabel',
]
# build the templated autosummary files
autosummary_generate = True
numpydoc_show_class_members = False
# autosectionlabel throws warnings if section names are duplicated.
# The following tells autosectionlabel to not throw a warning for
# duplicated section names that are in different documents.
autosectionlabel_prefix_document = True
# katex options
#
#
katex_prerender = True
napoleon_use_ivar = True
# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
if RELEASE:
templates_path = ['_templates-stable'] + templates_path
# TODO: document these and remove them from here.
coverage_ignore_modules = [
"torch.autograd",
"torch.cuda",
"torch.distributed",
"torch.distributions",
"torch.hub",
"torch.jit.unsupported_tensor_ops",
"torch.onnx",
"torch.nn.quantized.functional",
"torchvision",
]
coverage_ignore_functions = [
# torch.jit
"annotate",
"export_opnames",
"fuser",
"indent",
"interface",
"is_tracing",
"make_module",
"make_tuple",
"optimized_execution",
"script_method",
"validate_map_location",
"verify",
"whichmodule",
"wrap_check_inputs",
# torch
# TODO: This should be documented eventually, but only after
# we build out more support for meta functions and actually
# do a release with it
"empty_meta",
]
coverage_ignore_classes = [
# torch.jit
"Attribute",
"CompilationUnit",
"ConstMap",
"Error",
"Future",
"ONNXTracedModule",
"OrderedDictWrapper",
"OrderedModuleDict",
"RecursiveScriptModule",
"ScriptFunction",
"ScriptMeta",
"ScriptModule",
"ScriptWarning",
"TopLevelTracedModule",
"TracedModule",
"TracerWarning",
"TracingCheckError",
]
# 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 = 'PyTorch'
copyright = '2019, 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 (' + torch.__version__ + ' )'
# The full version, including alpha/beta/rc tags.
# TODO: verify this works as expected
release = 'master'
# Customized html_title here.
# Default is " ".join(project, release, "documentation") if not set
if RELEASE:
# remove hash (start with 'a') from version number if any
version_end = torch.__version__.find('a')
if version_end == -1:
html_title = " ".join((project, torch.__version__, "documentation"))
else:
html_title = " ".join((project, torch.__version__[:version_end], "documentation"))
# 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
# Disable docstring inheritance
autodoc_inherit_docstrings = False
# -- katex javascript in header
#
# def setup(app):
# app.add_javascript("https://cdn.jsdelivr.net/npm/katex@0.10.0-beta/dist/katex.min.js")
# -- 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 = 'pytorch_sphinx_theme'
html_theme_path = [pytorch_sphinx_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 = {
'pytorch_project': 'docs',
'canonical_url': 'https://pytorch.org/docs/stable/',
'collapse_navigation': False,
'display_version': True,
'logo_only': True,
}
html_logo = '_static/img/pytorch-logo-dark-unstable.png'
if RELEASE:
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_css_files = [
'css/jit.css',
]
# Called automatically by Sphinx, making this `conf.py` an "extension".
def setup(app):
# NOTE: in Sphinx 1.8+ `html_css_files` is an official configuration value
# and can be moved outside of this function (and the setup(app) function
# can be deleted).
html_css_files = [
'https://cdn.jsdelivr.net/npm/katex@0.10.0-beta/dist/katex.min.css'
]
# In Sphinx 1.8 it was renamed to `add_css_file`, 1.7 and prior it is
# `add_stylesheet` (deprecated in 1.8).
add_css = getattr(app, 'add_css_file', app.add_stylesheet)
for css_file in html_css_files:
add_css(css_file)
# -- 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', 'PyTorch 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, 'PyTorch', 'PyTorch 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, 'PyTorch', 'PyTorch Documentation',
author, 'PyTorch', 'One line description of project.',
'Miscellaneous'),
]
# Example configuration for intersphinx: refer to the Python standard library.
intersphinx_mapping = {
'python': ('https://docs.python.org/3', None),
'numpy': ('https://numpy.org/doc/stable', 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
import sphinx.ext.doctest
# Without this, doctest adds any example with a `>>>` as a test
doctest_test_doctest_blocks = ''
doctest_default_flags = sphinx.ext.doctest.doctest.ELLIPSIS
doctest_global_setup = '''
try:
import torchvision
except ImportError:
torchvision = None
'''
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