[PyTorch][NVFP4][MOE] NVFP4 Grouped Quantize with Hadamard Transform #13342

	# Copyright (c) 2022-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
	#
	# See LICENSE for license information.

	# A workflow to trigger the build of TE documentation on GitHub
	name: 'Documentation'
	on:
	pull_request:
	workflow_dispatch:
	workflow_call:
	jobs:
	build_docs:
	name: 'Build'
	runs-on: ubuntu-latest
	steps:
	- name: 'Checkout'
	uses: actions/checkout@v3
	- name: 'Install dependencies'
	run: \|
	pip install sphinx==8.1.3 sphinx_rtd_theme==3.0.1 nbsphinx==0.9.5 IPython ipython_genutils==0.2.0 ipywidgets==8.0.2 astroid==3.3.2
	pip install breathe==4.35.0 sphinx-autoapi==3.3.2
	sudo apt-get install -y pandoc graphviz doxygen
	export GIT_SHA=$(git show-ref --hash HEAD)
	- name: 'Build docs'
	run: \| # SPHINXOPTS="-W" errors out on warnings
	doxygen docs/Doxyfile
	cd docs
	make html SPHINXOPTS="-W"
	- name: 'Upload docs'
	uses: actions/upload-artifact@v4
	with:
	name: te_docs
	path: docs/_build/html
	retention-days: 7

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