[Doc] Use sphinx to generate docs. (#21)

* [Doc] Use sphinx to generate docs.

* [Doc] Fix a bug on tlcpack_sphinx_addon.

* [Doc] Fix linting issues.

docs/.gitignore

+_build/

docs/Makefile

+# Minimal makefile for Sphinx documentation
+#
+
+# You can set these variables from the command line, and also
+# from the environment for the first two.
+SPHINXOPTS    ?=
+SPHINXBUILD   ?= python -m sphinx
+SOURCEDIR     = .
+BUILDDIR      = _build
+
+# Put it first so that "make" without argument is like "make help".
+help:
+	@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+
+.PHONY: help Makefile
+
+# 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/README.md

+# Tile Language Documentation
+
+The documentation was built upon [Sphinx](https://www.sphinx-doc.org/en/master/).
+
+## Dependencies
+
+Run the following command in this directory to install dependencies first:
+
+```bash
+pip3 install -r requirements.txt
+```
+
+## Build the Documentation
+
+Then you can build the documentation by running:
+
+```bash
+make html
+```
+
+## View the Documentation
+
+Run the following command to start a simple HTTP server:
+
+```bash
+cd _build/html
+python3 -m http.server
+```
+
+Then you can view the documentation in your browser at `http://localhost:8000` (the port can be customized by appending ` -p PORT_NUMBER` in the python command above).

docs/_static/img/logo-row.svg

+<svg width="2268" height="537" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve" overflow="hidden"><defs><clipPath id="clip0"><rect x="0" y="1440" width="2268" height="537"/></clipPath><image width="401" height="463" xlink:href="data:image/png;base64,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" preserveAspectRatio="none" id="img1"></image><clipPath id="clip2"><rect x="1548" y="1469" width="401" height="463"/></clipPath><linearGradient x1="5.66719" y1="56.5386" x2="5.66719" y2="-222.487" gradientUnits="userSpaceOnUse" spreadMethod="pad" id="fill3"><stop offset="0" stop-color="#E73768"/><stop offset="0.5" stop-color="#FFFFFF"/><stop offset="1" stop-color="#69E0F9"/></linearGradient></defs><g clip-path="url(#clip0)" transform="matrix(1 0 0 1 0 -1440)"><path d="M0 0 2266.88 0 2266.88 1666.82 0 1666.82Z" fill="#0A0619" transform="matrix(1.0005 0 0 1 0 867.18)"/><g clip-path="url(#clip2)"><use width="100%" height="100%" xlink:href="#img1" transform="translate(1548 1469)"></use></g><path d="M155.214-196.218 5.66719-196.218 5.66719-147.014 52.2715-147.014 52.2715 0 108.277 0 108.277-147.014 155.214-147.014ZM203.019-168.482C227.888-168.482 232.088-171.016 232.088-195.952 232.088-220.487 227.888-222.487 203.019-222.487 178.417-222.487 173.883-220.487 173.883-195.952 173.883-171.016 178.417-168.482 203.019-168.482ZM176.15 0 229.821 0 229.821-152.681 176.15-152.681ZM313.829 1.66682C320.296 1.66682 326.564 1.13344 332.764 0L332.764-40.4038C329.631-39.6037 328.764-39.8704 326.83-39.8704 318.03-39.8704 315.229-43.5374 315.229-56.2719L315.229-214.887 261.491-214.887 261.491-43.5374C261.491-12.7345 271.692 1.66682 313.829 1.66682ZM493.646-86.208C493.646-132.879 478.911-155.481 424.64-155.481 374.035-155.481 344.632-139.08 344.632-76.3404 344.632-13.6013 374.035 2.80026 422.106 2.80026 452.309 2.80026 476.644-2.80026 485.979-9.3342L485.979-48.9379C476.911-43.5374 453.442-37.8702 432.84-37.8702 413.305-37.8702 401.171-43.2707 398.037-56.5386L491.912-62.2058C492.779-64.4727 493.646-73.8069 493.646-86.208ZM397.77-93.0087C398.904-111.944 406.838-116.211 424.906-116.211 441.908-116.211 446.108-108.277 446.108-96.6757ZM577.32-48.3378 577.32-196.218 521.049-196.218 521.049 0 649.927 0 649.927-48.3378ZM739.269-155.214C728.268-155.214 711.866-154.614 700.265-152.681L700.265-107.743C710.199-109.41 720.6-110.277 731.668-110.277 754.003-110.277 759.671-108.01 760.471-92.4753L729.135-92.4753C684.73-92.4753 664.662-79.4741 664.662-44.4041 664.662-11.6011 684.73 2.80026 716.667 2.80026 743.536 2.80026 756.537-6.53394 761.071-14.1346L765.271 0 813.942 0 813.942-103.743C813.942-139.346 792.74-155.214 739.269-155.214ZM733.668-37.0034C722.601-37.0034 716.667-39.0036 716.667-46.9377 716.667-56.0052 722.067-58.5388 739.002-58.5388L760.471-58.5388 760.471-46.671C756.27-41.2705 746.936-37.0034 733.668-37.0034ZM949.888-155.481C925.019-155.481 910.351-147.547 902.684-137.146L902.684-152.681 849.012-152.681 849.012 0 902.684 0 902.684-100.676C904.951-108.277 910.885-113.077 924.486-113.077 941.421-113.077 946.221-109.944 946.221-91.0085L946.221 0 999.96 0 999.96-103.21C999.96-140.213 985.825-155.481 949.888-155.481ZM1129.97-152.681 1129.97-139.346C1124.04-150.681 1112.5-155.481 1086.43-155.481 1038.1-155.481 1025.7-119.611 1025.7-77.7406 1025.7-31.4029 1038.1 0 1086.43 0 1112.17 0 1124.04-6.53394 1129.97-17.535L1129.97-13.6013C1129.97 10.7343 1117.84 16.6682 1085.3 16.6682 1072.03 16.6682 1054.76 14.4013 1042.63 11.3344L1042.63 52.8716C1057.03 55.1385 1076.57 56.5386 1090.97 56.5386 1163.38 56.5386 1183.18 29.136 1183.18-12.7345L1183.18-152.681ZM1105.1-37.0034C1083.37-37.0034 1079.97-55.6719 1079.97-77.7406 1079.97-98.4092 1083.37-117.011 1105.1-117.011 1130.84-117.011 1132.57-102.343 1132.57-77.7406 1132.57-51.7382 1130.84-37.0034 1105.1-37.0034Z" fill="url(#fill3)" transform="matrix(1.0005 0 0 1 313.501 1774.2)"/><path d="M0.533383-56.0052 0.533383-46.8044 17.4683-46.8044 17.4683 0 28.2693 0 28.2693-46.8044 45.0709-46.8044 45.0709-56.0052ZM51.0714 0 61.8724 0 61.8724-56.0052 51.0714-56.0052ZM72.8068 0 113.544 0 113.544-10.5343 83.6745-10.5343 83.6745-56.0052 72.8068-56.0052ZM120.078 0 161.548 0 161.548-10.5343 130.946-10.5343 130.946-23.6689 158.948-23.6689 158.948-33.6031 130.946-33.6031 130.946-45.5376 161.548-45.5376 161.548-56.0052 120.078-56.0052ZM192.285 0 232.955 0 232.955-10.5343 203.152-10.5343 203.152-56.0052 192.285-56.0052ZM268.492-56.0052 254.824-56.0052 234.755 0 246.423 0 249.957-10.401 274.292-10.401 278.026 0 290.494 0ZM252.757-18.8018 261.291-44.4041 262.091-44.4041 271.292-18.8018ZM296.361 0 306.829 0 306.829-38.0702 307.229-38.0702 334.164 0 344.765 0 344.765-56.0052 334.431-56.0052 334.431-17.4683 334.031-17.4683 306.962-56.0052 296.361-56.0052ZM400.571-8.40078 400.171 0 410.305 0C410.305-0.400037 410.305-29.4694 410.305-29.8694L380.502-29.8694 380.502-22.002 400.371-22.002C399.571-15.2014 392.57-8.13409 382.436-8.13409 370.034-8.13409 363.767-16.8016 363.767-28.0026 363.767-38.8703 371.301-47.2711 382.502-47.2711 391.103-47.2711 396.57-43.2707 398.704-36.8701L410.105-36.8701C407.371-50.8714 397.704-56.8053 382.436-56.8053 364.567-56.8053 353.3-45.6042 353.3-28.0026 353.3-10.4676 363.501 0.800074 381.302 0.800074 394.037 0.800074 398.904-5.33383 400.171-8.40078ZM455.509-21.8687C455.509-13.868 450.175-9.73424 442.508-9.73424 434.574-9.73424 430.107-13.868 430.107-21.8687L430.107-56.0052 419.172-56.0052 419.172-20.2686C419.172-5.93389 430.04 0.800074 442.575 0.800074 455.576 0.800074 466.11-5.93389 466.11-20.2686L466.11-56.0052 455.509-56.0052ZM503.18-56.0052 489.512-56.0052 469.377 0 481.111 0 484.578-10.401 508.914-10.401 512.714 0 525.182 0ZM487.379-18.8018 495.979-44.4041 496.78-44.4041 505.98-18.8018ZM573.387-8.40078 572.987 0 583.121 0C583.121-0.400037 583.121-29.4694 583.121-29.8694L553.318-29.8694 553.318-22.002 573.187-22.002C572.387-15.2014 565.386-8.13409 555.252-8.13409 542.851-8.13409 536.583-16.8016 536.583-28.0026 536.583-38.8703 544.117-47.2711 555.318-47.2711 563.919-47.2711 569.386-43.2707 571.52-36.8701L582.921-36.8701C580.187-50.8714 570.52-56.8053 555.252-56.8053 537.383-56.8053 526.116-45.6042 526.116-28.0026 526.116-10.4676 536.317 0.800074 554.118 0.800074 566.853 0.800074 571.72-5.33383 572.987-8.40078ZM592.455 0 633.926 0 633.926-10.5343 603.323-10.5343 603.323-23.6689 631.325-23.6689 631.325-33.6031 603.323-33.6031 603.323-45.5376 633.926-45.5376 633.926-56.0052 592.455-56.0052Z" fill="#FFFFFF" transform="matrix(1.0005 0 0 1 590.804 1927.55)"/></g></svg>
\ No newline at end of file

docs/conf.py

+# -*- coding: utf-8 -*-
+import os
+import sys
+
+import tlcpack_sphinx_addon
+
+# -- General configuration ------------------------------------------------
+
+sys.path.insert(0, os.path.abspath("../tilelang"))
+sys.path.insert(0, os.path.abspath("../"))
+autodoc_mock_imports = ["torch"]
+
+# General information about the project.
+project = "tilelang"
+author = "Tile Lang Contributors"
+copyright = "2025-2025, %s" % author
+
+# Version information.
+
+version = "0.1.0"
+release = "0.1.0"
+
+extensions = [
+    "sphinx_tabs.tabs",
+    "sphinx_toolbox.collapse",
+    "sphinxcontrib.httpdomain",
+    "sphinx.ext.autodoc",
+    "sphinx.ext.napoleon",
+    "sphinx_reredirects",
+]
+
+redirects = {"get_started/try_out": "../index.html#getting-started"}
+
+source_suffix = [".rst"]
+
+language = "en"
+
+exclude_patterns = ["_build", "Thumbs.db", ".DS_Store"]
+
+# The name of the Pygments (syntax highlighting) style to use.
+pygments_style = "sphinx"
+
+# A list of ignored prefixes for module index sorting.
+# If true, `todo` and `todoList` produce output, else they produce nothing.
+todo_include_todos = False
+
+# -- Options for HTML output ----------------------------------------------
+
+# The theme is set by the make target
+import sphinx_rtd_theme
+
+html_theme = "sphinx_rtd_theme"
+html_theme_path = [sphinx_rtd_theme.get_html_theme_path()]
+
+templates_path = []
+
+html_static_path = []
+
+footer_copyright = "© 2025-2025 Tile Language"
+footer_note = " "
+
+html_logo = "_static/img/logo-row.svg"
+
+html_theme_options = {
+    "logo_only": True,
+}
+
+header_links = [
+    ("Home", "https://github.com/tile-ai/tilelang"),
+    ("Github", "https://github.com/tile-ai/tilelang"),
+]
+
+html_context = {
+    "footer_copyright": footer_copyright,
+    "footer_note": footer_note,
+    "header_links": header_links,
+    "display_github": True,
+    "github_user": "tile-ai",
+    "github_repo": "tilelang",
+    "github_version": "main/docs/",
+    "theme_vcs_pageview_mode": "edit",
+    # "header_logo": "/path/to/logo",
+    # "header_logo_link": "",
+    # "version_selecter": "",
+}
+
+# add additional overrides
+templates_path += [tlcpack_sphinx_addon.get_templates_path()]
+html_static_path += [tlcpack_sphinx_addon.get_static_path()]

docs/get_started/Installation.rst

+Installation Guide
+==================
+
+Installing with pip
+-------------------
+
+**Prerequisites for installation via wheel or PyPI:**
+
+- **Operating System**: Ubuntu 20.04 or later
+
+- **Python Version**: >= 3.8
+
+- **CUDA Version**: >= 11.0
+
+The easiest way to install TileLang is directly from PyPI using pip. To install the latest version, run the following command in your terminal:
+
+.. code:: bash
+
+   pip install tilelang
+
+Alternatively, you may choose to install TileLang using prebuilt packages available on the Release Page:
+
+.. code:: bash
+
+   pip install tilelang-0.0.0.dev0+ubuntu.20.4.cu120-py3-none-any.whl
+
+To install the latest version of TileLang from the GitHub repository, you can run the following command:
+
+.. code:: bash
+
+   pip install git+https://github.com/tile-ai/tilelang.git
+
+After installing TileLang, you can verify the installation by running:
+
+.. code:: bash
+
+   python -c "import tilelang; print(tilelang.__version__)"
+
+Building from Source
+--------------------
+
+**Prerequisites for building from source:**
+
+- **Operating System**: Linux
+
+- **Python Version**: >= 3.7
+
+- **CUDA Version**: >= 10.0
+
+We recommend using a Docker container with the necessary dependencies to build TileLang from source. You can use the following command to run a Docker container with the required dependencies:
+
+.. code:: bash
+
+   docker run --gpus all -it --rm --ipc=host nvcr.io/nvidia/pytorch:23.01-py3
+
+To build and install TileLang directly from source, follow these steps. This process requires certain pre-requisites from Apache TVM, which can be installed on Ubuntu/Debian-based systems using the following commands:
+
+.. code:: bash
+
+   sudo apt-get update
+   sudo apt-get install -y python3 python3-dev python3-setuptools gcc libtinfo-dev zlib1g-dev build-essential cmake libedit-dev libxml2-dev
+
+After installing the prerequisites, you can clone the TileLang repository and install it using pip:
+
+.. code:: bash
+
+   git clone --recursive https://github.com/tile-ai/tilelang.git
+   cd TileLang
+   pip install .  # Please be patient, this may take some time.
+
+If you want to install TileLang in development mode, you can run the following command:
+
+.. code:: bash
+
+   pip install -e .
+
+We currently provide three methods to install **TileLang**:
+
+1. Install from Source (using your own TVM installation)
+
+2. Install from Source (using the bundled TVM submodule)
+
+3. Install Using the Provided Script
+
+
+Method 1: Install from Source (Using Your Own TVM Installation)
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+If you already have a compatible TVM installation, follow these steps:
+
+1. **Clone the Repository**:
+
+   .. code:: bash
+
+      git clone --recursive https://github.com/tile-ai/tilelang
+      cd TileLang
+
+   **Note**: Use the `--recursive` flag to include necessary submodules.
+
+2. **Configure Build Options**:
+
+   Create a build directory and specify your existing TVM path:
+
+   .. code:: bash
+
+      mkdir build
+      cd build
+      cmake .. -DTVM_PREBUILD_PATH=/your/path/to/tvm/build  # e.g., /workspace/tvm/build
+      make -j 16
+
+3. **Set Environment Variables**:
+
+   Update `PYTHONPATH` to include the `tile-lang` Python module:
+
+   .. code:: bash
+
+      export PYTHONPATH=/your/path/to/tile-lang/python:$PYTHONPATH
+      # TVM_IMPORT_PYTHON_PATH is used by 3rd-party frameworks to import TVM
+      export TVM_IMPORT_PYTHON_PATH=/your/path/to/tvm/python
+
+Method 2: Install from Source (Using the Bundled TVM Submodule)
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+If you prefer to use the built-in TVM version, follow these instructions:
+
+1. **Clone the Repository**:
+
+   .. code:: bash
+
+      git clone --recursive https://github.com/tile-ai/tilelang
+      cd TileLang
+
+   **Note**: Ensure the `--recursive` flag is included to fetch submodules.
+
+2. **Configure Build Options**:
+
+   Copy the configuration file and enable the desired backends (e.g., LLVM and CUDA):
+
+   .. code:: bash
+
+      mkdir build
+      cp 3rdparty/tvm/cmake/config.cmake build
+      cd build
+      echo "set(USE_LLVM ON)" >> config.cmake
+      echo "set(USE_CUDA ON)" >> config.cmake 
+      # or echo "set(USE_ROCM ON)" >> config.cmake to enable ROCm runtime
+      cmake ..
+      make -j 16
+
+   The build outputs (e.g., `libtilelang.so`, `libtvm.so`, `libtvm_runtime.so`) will be generated in the `build` directory.
+
+3. **Set Environment Variables**:
+
+   Ensure the `tile-lang` Python package is in your `PYTHONPATH`:
+
+   .. code:: bash
+
+      export PYTHONPATH=/your/path/to/TileLang/python:$PYTHONPATH
+
+Method 3: Install Using the Provided Script
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+For a simplified installation, use the provided script:
+
+1. **Clone the Repository**:
+
+   .. code:: bash
+
+      git clone --recursive https://github.com/tile-ai/tilelang
+      cd TileLang
+
+2. **Run the Installation Script**:
+
+   .. code:: bash
+
+      bash install.sh
+      # or bash `install_amd.sh` if you want to enable ROCm runtime

docs/get_started/language_ref.rst

+Language reference
+=========================
+
+T.Kernel
+--------
+
+args: the grid size (0-3 dimension) and the num_threads.
+
+returns: the blockIdx variables
+
+launch a kernel, it must be used in a with statement. There can be
+multiple kernels launched sequentially inside a prim function.
+
+T.alloc_shared
+--------------
+
+args: shape, dtype
+
+returns: Buffer
+
+Allocate buffer on shared memory, It must be used within T.Kernel scope
+and should be allocated at the top of the scope.
+
+Dynamic shared memory is used.
+
+T.alloc_fragment
+----------------
+
+args: shape, dtype
+
+returns: Buffer
+
+Allocate buffer on register memory, It must be used within T.Kernel
+scope and should be allocated at the top of the scope.
+
+The shape represents the whole shape of the buffer. Each element in the
+buffer is distributed stored on each threads, this storage partition
+will be inferred by the compiler.
+
+T.copy
+------
+
+args: src, dst
+
+Copies data from src to dst, src and dst can be one of (Buffer,
+BufferLoad, BufferRegion). If you use BufferLoad that represents a
+single starting point, the other params should not be BufferLoad, since
+we need to know the copy region.
+
+Zero will be padded if we detect the load is out of boundary.
+
+T.gemm
+------
+
+args: A, B, C, transpose_A, transpose_B, policy
+
+Performs gemm operation on A, B and C. C must be a fragment, B must be
+on shared memory, A can be either a fragment or shared.
+
+Note that the current implementation has some shape and dtype
+constraints, for example, the length of reduction axis must be a
+multiple of 32 for fp16 multiplicand case, we will update this later.
+
+T.reduce_max T.reduce_sum
+-------------------------
+
+args: src, dst, dim
+
+Performs a reduce operation from src to dst on dimension dim. Currently
+we only support src and dst to be a fragment.
+
+T.Parallel
+----------
+
+You can use T.Parallel to write a loop. The loop will be partitioned to
+all the threads by the compiler (The compiler will consider vectorize
+size, the fragment’s thread mapping … ). Note that this is the only way
+you can perform arbitrary operation on fragments.
+
+T.Pipelined
+-----------
+
+args: start, stop, num_stages
+
+Pipeline the loop, copy from the global memory will be converted to
+async operations and reordered to the point after it is consumed.
+num_stages is the number of buffer between producer-consumer.
+(e.g. Double buffer when num_stages=2)
+
+T.clear T.fill
+--------------
+
+nothing special, they will be converted to T.Parallel
+
+T.use_swizzle
+-------------
+
+Optimization for L2 cache. The launch of blockIdx.x and blockIdx.y will
+be serpentined.
+
+You need to add it in a kernel after buffer is all allocated.

docs/index.rst

+👋 Welcome to Tile Language
+===========================
+
+`GitHub <https://github.com/tile-ai/tilelang>`_
+
+Tile Language (tile-lang) is a concise domain-specific language designed to streamline 
+the development of high-performance GPU/CPU kernels (e.g., GEMM, Dequant GEMM, FlashAttention, LinearAttention). 
+By employing a Pythonic syntax with an underlying compiler infrastructure on top of TVM, 
+tile-lang allows developers to focus on productivity without sacrificing the 
+low-level optimizations necessary for state-of-the-art performance.
+
+
+
+
+
+.. toctree::
+   :maxdepth: 2
+   :caption: Get Started
+   :hidden:
+
+   get_started/Installation.rst
+   get_started/language_ref.rst
+
+
+.. toctree::
+   :maxdepth: 1
+   :caption: Privacy
+   :hidden:
+
+   privacy.rst

docs/make.bat

+@ECHO OFF
+
+pushd %~dp0
+
+REM Command file for Sphinx documentation
+
+if "%SPHINXBUILD%" == "" (
+    set SPHINXBUILD=sphinx-build
+)
+set SOURCEDIR=.
+set BUILDDIR=_build
+
+%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.https://www.sphinx-doc.org/
+    exit /b 1
+)
+
+if "%1" == "" goto help
+
+%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
+goto end
+
+:help
+%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
+
+:end
+popd

docs/privacy.rst

+Privacy
+====================
+
+All data stays in users' device and is not collected by the app.

docs/requirements.txt

+fastapi
+pydantic
+sphinx == 5.2.3
+sphinx-reredirects==0.1.2
+sphinx-rtd-theme
+sphinx-tabs == 3.4.1
+sphinx-toolbox == 3.4.0
+sphinxcontrib-napoleon==0.7
+sphinxcontrib_httpdomain==1.8.1
+git+https://github.com/xwhzz/tlcpack-sphinx-addon.git
+uvicorn