Use tensor device reference in persistent kernels #254

	name: Test Documentation

	on:
	pull_request:
	push:
	branches:
	- main

	jobs:
	docs-test:
	runs-on: ubuntu-latest
	defaults:
	run:
	shell: bash -l {0}

	steps:
	- name: Check out code
	uses: actions/checkout@v4

	- name: Set up Miniconda
	uses: conda-incubator/setup-miniconda@v3
	with:
	activate-environment: torch27
	python-version: 3.12
	channels: defaults,pytorch,conda-forge

	- name: Cache dependencies
	uses: actions/cache@v4
	with:
	path: \|
	~/.conda/pkgs
	~/.cache/pip
	key: ${{ runner.os }}-docs-${{ hashFiles('.github/workflows/docs-test.yml') }}
	restore-keys: \|
	${{ runner.os }}-docs-

	- name: Install project with docs dependencies
	run: \|
	pip install -e ".[docs]"

	- name: Build documentation
	run: \|
	cd docs/
	make html
	make linkcheck

	- name: Upload built docs
	uses: actions/upload-artifact@v4
	with:
	name: docs-html
	path: site

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