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ROCm/docs/conf.py
2025-03-20 13:57:37 -04:00

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6.4 KiB
Python

# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
import os
import shutil
import sys
from pathlib import Path
shutil.copy2("../RELEASE.md", "./about/release-notes.md")
shutil.copy2("../CHANGELOG.md", "./release/changelog.md")
os.system("mkdir -p ../_readthedocs/html/downloads")
os.system("cp compatibility/compatibility-matrix-historical-6.0.csv ../_readthedocs/html/downloads/compatibility-matrix-historical-6.0.csv")
latex_engine = "xelatex"
latex_elements = {
"fontpkg": r"""
\usepackage{tgtermes}
\usepackage{tgheros}
\renewcommand\ttdefault{txtt}
"""
}
html_baseurl = os.environ.get("READTHEDOCS_CANONICAL_URL", "rocm.docs.amd.com")
html_context = {}
if os.environ.get("READTHEDOCS", "") == "True":
html_context["READTHEDOCS"] = True
# configurations for PDF output by Read the Docs
project = "ROCm Documentation"
project_path = os.path.abspath(".").replace("\\", "/")
author = "Advanced Micro Devices, Inc."
copyright = "Copyright (c) 2025 Advanced Micro Devices, Inc. All rights reserved."
version = "6.4.0"
release = "6.4.0"
setting_all_article_info = True
all_article_info_os = ["linux", "windows"]
all_article_info_author = ""
# pages with specific settings
article_pages = [
{"file": "about/release-notes", "os": ["linux"], "date": "2025-03-26"},
{"file": "compatibility/compatibility-matrix", "os": ["linux"]},
{"file": "compatibility/ml-compatibility/pytorch-compatibility", "os": ["linux"]},
{"file": "compatibility/ml-compatibility/tensorflow-compatibility", "os": ["linux"]},
{"file": "compatibility/ml-compatibility/jax-compatibility", "os": ["linux"]},
{"file": "how-to/deep-learning-rocm", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/index", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/training/index", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/training/train-a-model", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/training/prerequisite-system-validation", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/training/benchmark-docker/megatron-lm", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/training/benchmark-docker/pytorch-training", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/training/scale-model-training", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/fine-tuning/index", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/fine-tuning/overview", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/fine-tuning/fine-tuning-and-inference", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/fine-tuning/single-gpu-fine-tuning-and-inference", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/fine-tuning/multi-gpu-fine-tuning-and-inference", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference/index", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference/install", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference/hugging-face-models", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference/llm-inference-frameworks", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference/vllm-benchmark", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference/deploy-your-model", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference-optimization/index", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference-optimization/model-quantization", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference-optimization/model-acceleration-libraries", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference-optimization/optimizing-with-composable-kernel", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference-optimization/optimizing-triton-kernel", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference-optimization/profiling-and-debugging", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference-optimization/workload", "os": ["linux"]},
{"file": "how-to/system-optimization/index", "os": ["linux"]},
{"file": "how-to/system-optimization/mi300x", "os": ["linux"]},
{"file": "how-to/system-optimization/mi200", "os": ["linux"]},
{"file": "how-to/system-optimization/mi100", "os": ["linux"]},
{"file": "how-to/system-optimization/w6000-v620", "os": ["linux"]},
{"file": "how-to/tuning-guides/mi300x/index", "os": ["linux"]},
{"file": "how-to/tuning-guides/mi300x/system", "os": ["linux"]},
{"file": "how-to/tuning-guides/mi300x/workload", "os": ["linux"]},
{"file": "how-to/system-debugging", "os": ["linux"]},
{"file": "how-to/gpu-enabled-mpi", "os": ["linux"]},
]
external_toc_path = "./sphinx/_toc.yml"
# Add the _extensions directory to Python's search path
sys.path.append(str(Path(__file__).parent / 'extension'))
extensions = ["rocm_docs", "sphinx_reredirects", "sphinx_sitemap", "sphinxcontrib.datatemplates", "version-ref", "csv-to-list-table"]
compatibility_matrix_file = str(Path(__file__).parent / 'compatibility/compatibility-matrix-historical-6.0.csv')
external_projects_current_project = "rocm"
# Uncomment if facing rate limit exceed issue with local build
# external_projects_remote_repository = ""
html_baseurl = os.environ.get("READTHEDOCS_CANONICAL_URL", "https://rocm-stg.amd.com/")
html_context = {}
if os.environ.get("READTHEDOCS", "") == "True":
html_context["READTHEDOCS"] = True
html_theme = "rocm_docs_theme"
html_theme_options = {"flavor": "rocm-docs-home"}
html_static_path = ["sphinx/static/css", "extension/how-to/rocm-for-ai/inference"]
html_css_files = ["rocm_custom.css", "rocm_rn.css", "vllm-benchmark.css"]
html_js_files = ["vllm-benchmark.js"]
html_title = "ROCm Documentation"
html_theme_options = {"link_main_doc": False}
redirects = {"reference/openmp/openmp": "../../about/compatibility/openmp.html"}
numfig = False
html_context = {
"project_path" : {project_path},
"gpu_type" : [('AMD Instinct accelerators', 'intrinsic'), ('AMD gfx families', 'gfx'), ('NVIDIA families', 'nvidia') ],
"atomics_type" : [('HW atomics', 'hw-atomics'), ('CAS emulation', 'cas-atomics')],
"pcie_type" : [('No PCIe atomics', 'nopcie'), ('PCIe atomics', 'pcie')],
"memory_type" : [('Device DRAM', 'device-dram'), ('Migratable Host DRAM', 'migratable-host-dram'), ('Pinned Host DRAM', 'pinned-host-dram')],
"granularity_type" : [('Coarse-grained', 'coarse-grained'), ('Fine-grained', 'fine-grained')],
"scope_type" : [('Device', 'device'), ('System', 'system')]
}