docs(doc/code-docs): support readthedocs (#245)

* feat(doc/code-docs): add code-docs for readthedocs

* feat(doc/code-docs): add .readthedocs.yaml configuration file

* feat(doc/code-docs): update .readthedocs.yaml configuration file

* feat(doc/code-docs): update .readthedocs.yaml configuration file

* feat(doc/code-docs): update .readthedocs.yaml configuration file

* feat(doc/code-docs): update .readthedocs.yaml configuration file

* feat(doc/code-docs): update code-docs
pull/262/head
huangting4201 2023-08-29 13:54:41 +08:00 committed by GitHub
parent 7b7b23ed89
commit 992499d00d
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.readthedocs.yml Normal file
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# .readthedocs.yaml
# Read the Docs configuration file
# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details
# Required
version: 2
# Set the OS, Python version and other tools you might need
build:
os: ubuntu-22.04
tools:
python: "3.8"
# Build documentation in the docs/ directory with Sphinx
sphinx:
configuration: doc/code-docs/source/conf.py
fail_on_warning: false
# Optionally build your docs in additional formats such as PDF
formats:
- pdf
# Optional but recommended, declare the Python requirements required
# to build your documentation
# See https://docs.readthedocs.io/en/stable/guides/reproducible-builds.html
python:
install:
- requirements: doc/code-docs/requirements.txt

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doc/code-docs/Makefile Normal file
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# 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 ?= sphinx-build
SOURCEDIR = source
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)

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doc/code-docs/make.bat Normal file
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@ECHO OFF
pushd %~dp0
REM Command file for Sphinx documentation
if "%SPHINXBUILD%" == "" (
set SPHINXBUILD=sphinx-build
)
set SOURCEDIR=source
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

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Sphinx
sphinx-autobuild
recommonmark
sphinx_rtd_theme
sphinx_markdown_tables
autodoc_pydantic==1.9

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Model Checkpointing
===================

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# Configuration file for the Sphinx documentation builder.
#
# For the full list of built-in configuration values, see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Project information -----------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information
import os
import sys
project = "InternLM"
copyright = "2023, InternLM Team"
author = "InternLM Team"
release = "v0.2.0"
# -- General configuration ---------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
extensions = [
"recommonmark",
"sphinx_rtd_theme",
"sphinx.ext.viewcode",
"sphinx.ext.autodoc",
"sphinxcontrib.autodoc_pydantic",
"sphinx.ext.autosectionlabel",
"sphinx.ext.napoleon",
]
pygments_style = "sphinx"
# autodoc_pyandtic config
autodoc_pydantic_model_show_field_summary = False
autodoc_pydantic_field_signature_prefix = " "
autodoc_pydantic_model_signature_prefix = "class"
autodoc_pydantic_model_show_json = False
autodoc_pydantic_model_show_config_summary = False
autodoc_pydantic_model_show_config_member = False
autodoc_pydantic_model_show_validator_summary = False
autodoc_pydantic_model_show_validator_members = False
autodoc_pydantic_model_summary_list_order = "bysource"
autodoc_pydantic_model_member_order = "bysource"
autodoc_pydantic_field_list_validators = False
templates_path = ["_templates"]
exclude_patterns = []
# -- Options for HTML output -------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output
html_theme = "sphinx_rtd_theme"
html_static_path = ["_static"]
sys.path.insert(0, os.path.abspath("../../../"))
# Prepend module names to class descriptions
add_module_names = True
autoclass_content = "init"
autodoc_mock_imports = ["apex", "torch"]

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.. InternLM documentation master file, created by
sphinx-quickstart on Mon Aug 28 17:33:28 2023.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
InternLM
========
Environment Setup
-------------------
.. toctree::
:maxdepth: 2
install
Model Setup
-------------------
.. toctree::
:maxdepth: 2
initialize
Training API
-------------------
.. toctree::
:maxdepth: 2
training
Parallel Training
-------------------
.. toctree::
:maxdepth: 2
parallel
Model Checkpointing
-------------------
.. toctree::
:maxdepth: 2
checkpoint
Profiler
-------------------
.. toctree::
:maxdepth: 2
profiler
Monitor
-------------------
.. toctree::
:maxdepth: 2
monitor
Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`

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Training Setup
==============
.. _InternLM-args:
Argument Parsing
----------------
InternLM uses the `argparse <https://docs.python.org/3/library/argparse.html>`_ library to supply commandline
configuration to the InternLM runtime. Use ``internlm.initialize.get_default_parser()`` to get InternLM's default
parser with some builtin arguments, users can add custom parameters to this parser.
.. code-block:: python
# Get InternLM default parser
parser = internlm.initialize.get_default_parser()
# Add new argument
parser.add_argument("--user_arg", type=int, default=-1, help="arguments add by user.")
cmd_args = parser.parse_args()
.. autofunction:: internlm.initialize.get_default_parser
.. _InternLM-init:
Model Initialization
-------------------------
Optimizer Initialization
-------------------------
Dataloader Initialization
-------------------------
Trainer Initialization
-------------------------

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## Installation
### Environment Preparation
The required packages and corresponding version are shown as follows:
- Python == 3.10
- GCC == 10.2.0
- MPFR == 4.1.0
- CUDA >= 11.7
- Pytorch >= 1.13.1
- Transformers >= 4.28.0
- Flash-Attention >= v1.0.5
- Apex == 23.05
- GPU with Ampere or Hopper architecture (such as H100, A100)
- Linux OS
After installing the above dependencies, some system environment variables need to be updated:
```bash
export CUDA_PATH={path_of_cuda_11.7}
export GCC_HOME={path_of_gcc_10.2.0}
export MPFR_HOME={path_of_mpfr_4.1.0}
export LD_LIBRARY_PATH=${GCC_HOME}/lib64:${MPFR_HOME}/lib:${CUDA_PATH}/lib64:$LD_LIBRARY_PATH
export PATH=${GCC_HOME}/bin:${CUDA_PATH}/bin:$PATH
export CC=${GCC_HOME}/bin/gcc
export CXX=${GCC_HOME}/bin/c++
```
### Environment Installation
Clone the project `internlm` and its dependent submodules from the github repository, as follows:
```bash
git clone git@github.com:InternLM/InternLM.git --recurse-submodules
```
It is recommended to build a Python-3.10 virtual environment using conda and install the required dependencies based on the `requirements/` files:
```bash
conda create --name internlm-env python=3.10 -y
conda activate internlm-env
cd internlm
pip install -r requirements/torch.txt
pip install -r requirements/runtime.txt
```
Install flash-attention (version v1.0.5):
```bash
cd ./third_party/flash-attention
python setup.py install
cd ./csrc
cd fused_dense_lib && pip install -v .
cd ../xentropy && pip install -v .
cd ../rotary && pip install -v .
cd ../layer_norm && pip install -v .
cd ../../../../
```
Install Apex (version 23.05):
```bash
cd ./third_party/apex
pip install -v --disable-pip-version-check --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./
cd ../../
```
### Environment Image
Users can obtain an image with the InternLM runtime environment installed from https://hub.docker.com/r/sunpengsdu/internlm. The commands for pulling the image and starting the container are as follows:
```bash
# pull image
docker pull sunpengsdu/internlm:torch1.13-cuda11.7-flashatten1.0.5-centos
# start container
docker run --gpus all -d -it --shm-size=2gb --name myinternlm sunpengsdu/internlm:torch1.13-cuda11.7-flashatten1.0.5-centos
docker exec -it myinternlm bash
```

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Monitor and Alert
=================
Monitoring
-----------------
Alerting
-----------------

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Parallel Training
=================
.. 整体说一下并行配置使用方式,接下来再分模块详细说明
Tensor Parallel
-----------------
Pipeline Parallel
-----------------
Sequence Parallel
-----------------
Data Parallel
-----------------
ZeRO1.5
-----------------

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Profiler
========
.. 可介绍torch profiler, memory profiler的使用
Torch Profiler
-----------------
Memory Profiler
-----------------

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Training API
============